From b492801d48a8914400fbf3610a42db2e33d83531 Mon Sep 17 00:00:00 2001 From: Ceceliachenen <162673161+Ceceliachenen@users.noreply.github.com> Date: Wed, 12 Jun 2024 20:14:10 +0800 Subject: [PATCH 01/69] Bugfix: a case that files' encodings can not be detected by chardet (#61) --- src/pai_rag/integrations/readers/pai_csv_reader.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pai_rag/integrations/readers/pai_csv_reader.py b/src/pai_rag/integrations/readers/pai_csv_reader.py index 0b653395..6653f501 100644 --- a/src/pai_rag/integrations/readers/pai_csv_reader.py +++ b/src/pai_rag/integrations/readers/pai_csv_reader.py @@ -141,7 +141,7 @@ def load_data( with fs.open(file) as f: encoding = chardet.detect(f.read(100000))["encoding"] f.seek(0) - if "GB" in encoding.upper(): + if encoding is not None and "GB" in encoding.upper(): self._pandas_config["encoding"] = "GB18030" try: df = pd.read_csv(f, **self._pandas_config) @@ -155,7 +155,7 @@ def load_data( with open(file, "rb") as f: encoding = chardet.detect(f.read(100000))["encoding"] f.seek(0) - if "GB" in encoding.upper(): + if encoding is not None and "GB" in encoding.upper(): self._pandas_config["encoding"] = "GB18030" try: df = pd.read_csv(file, **self._pandas_config) From ef7090b63fd1facca6a9cca2cb6b8b6c04404c56 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Thu, 13 Jun 2024 16:44:49 +0800 Subject: [PATCH 02/69] Bugfix: connection error for longtime upload tasks (#62) * Fix connection error for longtime job * fix testcase bugs * support num workers for embedding model * Refactor query api and add dataframe UI * Refactor query api * Remove embedding workers --- src/pai_rag/app/api/query.py | 23 +++++++--- src/pai_rag/app/web/rag_client.py | 15 ++++++- src/pai_rag/app/web/tabs/upload_tab.py | 51 +++++++++++++++++----- src/pai_rag/core/rag_application.py | 4 +- src/pai_rag/core/rag_service.py | 17 ++++++-- src/pai_rag/data/rag_dataloader.py | 11 ++++- src/pai_rag/modules/embedding/embedding.py | 3 +- tests/core/test_rag_application.py | 4 +- 8 files changed, 101 insertions(+), 27 deletions(-) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 60bd0d54..dc0ec7fc 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -1,5 +1,6 @@ from typing import Any -from fastapi import APIRouter, Body +from fastapi import APIRouter, Body, BackgroundTasks +import uuid from pai_rag.core.rag_service import rag_service from pai_rag.app.api.models import ( RagQuery, @@ -39,12 +40,22 @@ async def aupdate(new_config: Any = Body(None)): return {"msg": "Update RAG configuration successfully."} -@router.post("/data") -async def load_data(input: DataInput): - await rag_service.add_knowledge( - file_dir=input.file_path, enable_qa_extraction=input.enable_qa_extraction +@router.post("/upload_data") +async def load_data(input: DataInput, background_tasks: BackgroundTasks): + task_id = uuid.uuid4().hex + background_tasks.add_task( + rag_service.add_knowledge_async, + task_id=task_id, + file_dir=input.file_path, + enable_qa_extraction=input.enable_qa_extraction, ) - return {"msg": "Update RAG configuration successfully."} + return {"task_id": task_id} + + +@router.get("/get_upload_state") +def task_status(task_id: str): + status = rag_service.get_task_status(task_id) + return {"task_id": task_id, "status": status} @router.post("/evaluate/response") diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 35e88508..118b923d 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -41,7 +41,11 @@ def config_url(self): @property def load_data_url(self): - return f"{self.endpoint}service/data" + return f"{self.endpoint}service/upload_data" + + @property + def get_load_state_url(self): + return f"{self.endpoint}service/get_upload_state" def query(self, text: str, session_id: str = None): q = dict(question=text, session_id=session_id) @@ -88,7 +92,14 @@ def add_knowledge(self, file_dir: str, enable_qa_extraction: bool): q = dict(file_path=file_dir, enable_qa_extraction=enable_qa_extraction) r = requests.post(self.load_data_url, json=q) r.raise_for_status() - return + response = dotdict(json.loads(r.text)) + return response + + def get_knowledge_state(self, task_id: str): + r = requests.get(self.get_load_state_url, params={"task_id": task_id}) + r.raise_for_status() + response = dotdict(json.loads(r.text)) + return response def reload_config(self, config: Any): global cache_config diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index 8dba2c6b..96e4d7a2 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -1,8 +1,11 @@ import os from typing import Dict, Any import gradio as gr +import time from pai_rag.app.web.rag_client import rag_client from pai_rag.app.web.view_model import view_model +from pai_rag.utils.file_utils import MyUploadFile +import pandas as pd def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extraction): @@ -14,14 +17,36 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti if not upload_files: return "No file selected. Please choose at least one file." + my_upload_files = [] for file in upload_files: file_dir = os.path.dirname(file.name) - rag_client.add_knowledge(file_dir, enable_qa_extraction) - return ( - "Upload " - + str(len(upload_files)) - + " files Success! \n \n Relevant content has been added to the vector store, you can now start chatting and asking questions." - ) + response = rag_client.add_knowledge(file_dir, enable_qa_extraction) + my_upload_files.append( + MyUploadFile(os.path.basename(file.name), response["task_id"]) + ) + + result = {"Info": ["StartTime", "EndTime", "Duration(s)", "Status"]} + while not all(file.finished is True for file in my_upload_files): + for file in my_upload_files: + response = rag_client.get_knowledge_state(str(file.task_id)) + file.update_state(response["status"]) + file.update_process_duration() + result[file.file_name] = file.__info__() + if response["status"] in ["completed", "failed"]: + file.is_finished() + yield [ + gr.update(visible=True, value=pd.DataFrame(result)), + gr.update(visible=False), + ] + time.sleep(2) + + yield [ + gr.update(visible=True, value=pd.DataFrame(result)), + gr.update( + visible=True, + value="Uploaded all files successfully! \n Relevant content has been added to the vector store, you can now start chatting and asking questions.", + ), + ] def create_upload_tab() -> Dict[str, Any]: @@ -47,14 +72,20 @@ def create_upload_tab() -> Dict[str, Any]: label="Upload a knowledge file.", file_count="multiple" ) upload_file_btn = gr.Button("Upload", variant="primary") - upload_file_state = gr.Textbox(label="Upload State") + upload_file_state_df = gr.DataFrame( + label="Upload Status Info", visible=False + ) + upload_file_state = gr.Textbox(label="Upload Status", visible=False) with gr.Tab("Directory"): upload_file_dir = gr.File( label="Upload a knowledge directory.", file_count="directory", ) upload_dir_btn = gr.Button("Upload", variant="primary") - upload_dir_state = gr.Textbox(label="Upload State") + upload_dir_state_df = gr.DataFrame( + label="Upload Status Info", visible=False + ) + upload_dir_state = gr.Textbox(label="Upload Status", visible=False) upload_file_btn.click( fn=upload_knowledge, inputs=[ @@ -63,7 +94,7 @@ def create_upload_tab() -> Dict[str, Any]: chunk_overlap, enable_qa_extraction, ], - outputs=upload_file_state, + outputs=[upload_file_state_df, upload_file_state], api_name="upload_knowledge", ) upload_dir_btn.click( @@ -74,7 +105,7 @@ def create_upload_tab() -> Dict[str, Any]: chunk_overlap, enable_qa_extraction, ], - outputs=upload_dir_state, + outputs=[upload_dir_state_df, upload_dir_state], api_name="upload_knowledge_dir", ) return { diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 8a842ca6..20955fab 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -58,8 +58,8 @@ def reload(self, config): self.logger.info("RagApplication reloaded successfully.") # TODO: 大量文件上传实现异步添加 - async def load_knowledge(self, file_dir, enable_qa_extraction=False): - await self.data_loader.load(file_dir, enable_qa_extraction) + def load_knowledge(self, file_dir, enable_qa_extraction=False): + self.data_loader.load(file_dir, enable_qa_extraction) async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: if not query.question: diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index a7f0fc7d..43e7819c 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -11,7 +11,7 @@ ) from pai_rag.app.web.view_model import view_model from openinference.instrumentation import using_attributes -from typing import Any +from typing import Any, Dict def trace_correlation_id(function): @@ -41,14 +41,25 @@ def initialize(self, config_file: str): view_model.sync_app_config(self.rag_configuration.get_value()) self.rag = RagApplication() self.rag.initialize(self.rag_configuration.get_value()) + self.tasks_status: Dict[str, str] = {} def reload(self, new_config: Any): self.rag_configuration.update(new_config) self.rag.reload(self.rag_configuration.get_value()) self.rag_configuration.persist() - async def add_knowledge(self, file_dir: str, enable_qa_extraction: bool = False): - await self.rag.load_knowledge(file_dir, enable_qa_extraction) + def add_knowledge_async( + self, task_id: str, file_dir: str, enable_qa_extraction: bool = False + ): + self.tasks_status[task_id] = "processing" + try: + self.rag.load_knowledge(file_dir, enable_qa_extraction) + self.tasks_status[task_id] = "completed" + except Exception: + self.tasks_status[task_id] = "failed" + + def get_task_status(self, task_id: str) -> str: + return self.tasks_status.get(task_id, "unknown") async def aquery(self, query: RagQuery) -> RagResponse: return await self.rag.aquery(query) diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index a4d3c5a1..2f2f96f5 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -1,5 +1,7 @@ import os from typing import Any, Dict +import asyncio +import nest_asyncio from llama_index.core import Settings from llama_index.core.schema import TextNode from llama_index.llms.huggingface import HuggingFaceLLM @@ -57,7 +59,7 @@ def _extract_file_type(self, metadata: Dict[str, Any]): file_name = metadata.get("file_name", "dummy.txt") return os.path.splitext(file_name)[1] - async def load(self, file_directory: str, enable_qa_extraction: bool): + async def aload(self, file_directory: str, enable_qa_extraction: bool): data_reader = self.datareader_factory.get_reader(file_directory) docs = data_reader.load_data() logger.info(f"[DataReader] Loaded {len(docs)} docs.") @@ -113,3 +115,10 @@ async def load(self, file_directory: str, enable_qa_extraction: bool): self.index.storage_context.persist(persist_dir=store_path.persist_path) logger.info(f"Inserted {len(nodes)} nodes successfully.") return + + nest_asyncio.apply() # 应用嵌套补丁到事件循环 + + def load(self, file_directory: str, enable_qa_extraction: bool): + loop = asyncio.get_event_loop() + loop.run_until_complete(self.aload(file_directory, enable_qa_extraction)) + return diff --git a/src/pai_rag/modules/embedding/embedding.py b/src/pai_rag/modules/embedding/embedding.py index 8b8350aa..75efbb93 100644 --- a/src/pai_rag/modules/embedding/embedding.py +++ b/src/pai_rag/modules/embedding/embedding.py @@ -53,7 +53,8 @@ def _create_new_instance(self, new_params: Dict[str, Any]): model_path = os.path.join(model_dir, model_name) embed_model = HuggingFaceEmbedding( - model_name=model_path, embed_batch_size=embed_batch_size + model_name=model_path, + embed_batch_size=embed_batch_size, ) logger.info( diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index 0e42a291..457d599c 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -28,10 +28,10 @@ def rag_app(): # Test load knowledge file -async def test_add_knowledge_file(rag_app: RagApplication): +def test_add_knowledge_file(rag_app: RagApplication): data_dir = os.path.join(BASE_DIR, "tests/testdata/paul_graham") print(len(rag_app.index.docstore.docs)) - await rag_app.load_knowledge(data_dir) + rag_app.load_knowledge(data_dir) print(len(rag_app.index.docstore.docs)) assert len(rag_app.index.docstore.docs) > 0 From ba1132a65350fcd0f17aeb416b18f53c7b5f4256 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Thu, 13 Jun 2024 20:26:00 +0800 Subject: [PATCH 03/69] Add file: file_utils.py (#63) * Fix connection error for longtime job * fix testcase bugs * support num workers for embedding model * Refactor query api and add dataframe UI * Refactor query api * Remove embedding workers * Add file_utils --------- Co-authored-by: Yue Fei <59813791+moria97@users.noreply.github.com> --- src/pai_rag/utils/file_utils.py | 36 +++++++++++++++++++++++++++++++++ 1 file changed, 36 insertions(+) create mode 100644 src/pai_rag/utils/file_utils.py diff --git a/src/pai_rag/utils/file_utils.py b/src/pai_rag/utils/file_utils.py new file mode 100644 index 00000000..f8cb827b --- /dev/null +++ b/src/pai_rag/utils/file_utils.py @@ -0,0 +1,36 @@ +from datetime import datetime +import pytz + +# 创建北京时区的变量 +beijing_tz = pytz.timezone("Asia/Shanghai") + + +class MyUploadFile: + def __init__(self, file_name, task_id): + self.file_name = file_name + self.task_id = task_id + self.start_time = datetime.now(beijing_tz) + self.end_time = None + self.duration = None + self.state = None + self.finished = False + + def update_process_duration(self): + if not self.finished: + self.end_time = datetime.now(beijing_tz) + self.duration = (self.end_time - self.start_time).total_seconds() + return self.duration + + def update_state(self, state): + self.state = state + + def is_finished(self): + self.finished = True + + def __info__(self): + return [ + self.start_time.strftime("%Y-%m-%d %H:%M:%S"), + self.end_time.strftime("%Y-%m-%d %H:%M:%S"), + self.duration, + self.state, + ] From daba1f5e8f4b0788f94d2a6ec1cd59f82e2c0775 Mon Sep 17 00:00:00 2001 From: Yue Fei <59813791+moria97@users.noreply.github.com> Date: Thu, 13 Jun 2024 20:40:53 +0800 Subject: [PATCH 04/69] Remove local storage and enable Elasticsearch hybrid query mode (#60) * Add gpu dockerfile * Fix bug * Fix gb2312 * Update embedding batch size * Set default embedding and llm model * Update docker tag * Fix hologres check * Update registry * Fix bug * Fix tests * Add queue * Update batch size * Add async interface * Fix index conflict * Add change index parameter for FAISS * Fix batch size * Update --- src/pai_rag/app/api/models.py | 10 +- src/pai_rag/core/rag_application.py | 76 +-- src/pai_rag/core/rag_service.py | 10 +- src/pai_rag/data/rag_dataloader.py | 4 +- src/pai_rag/data/rag_datapipeline.py | 15 +- src/pai_rag/evaluations/batch_evaluator.py | 4 +- .../dataset_generation/generate_dataset.py | 23 +- src/pai_rag/modules/__init__.py | 5 + .../modules/base/configurable_module.py | 26 +- src/pai_rag/modules/cache/oss_cache.py | 20 + .../modules/chat/chat_engine_factory.py | 34 +- .../modules/chat/llm_chat_engine_factory.py | 31 +- src/pai_rag/modules/datareader/data_loader.py | 25 + src/pai_rag/modules/embedding/embedding.py | 4 +- .../embedding/my_huggingface_embedding.py | 143 +++++ src/pai_rag/modules/index/index.py | 58 +- src/pai_rag/modules/index/index_utils.py | 109 ++++ .../modules/index/my_vector_store_index.py | 119 ++++ src/pai_rag/modules/index/store.py | 22 +- src/pai_rag/modules/module_registry.py | 54 +- .../retriever/my_elasticsearch_store.py | 538 ++++++++++++++++++ .../retriever/my_vector_index_retriever.py | 2 +- src/pai_rag/modules/retriever/retriever.py | 38 +- src/pai_rag/utils/store_utils.py | 4 +- src/pai_rag/utils/tokenizer.py | 16 + tests/core/test_rag_application.py | 7 +- 26 files changed, 1217 insertions(+), 180 deletions(-) create mode 100644 src/pai_rag/modules/cache/oss_cache.py create mode 100644 src/pai_rag/modules/datareader/data_loader.py create mode 100644 src/pai_rag/modules/embedding/my_huggingface_embedding.py create mode 100644 src/pai_rag/modules/index/index_utils.py create mode 100644 src/pai_rag/modules/index/my_vector_store_index.py create mode 100644 src/pai_rag/modules/retriever/my_elasticsearch_store.py create mode 100644 src/pai_rag/utils/tokenizer.py diff --git a/src/pai_rag/app/api/models.py b/src/pai_rag/app/api/models.py index 8cfede1e..62faf36e 100644 --- a/src/pai_rag/app/api/models.py +++ b/src/pai_rag/app/api/models.py @@ -2,13 +2,16 @@ from typing import List, Dict +class VectorDbConfig(BaseModel): + faiss_path: str | None = None + + class RagQuery(BaseModel): question: str temperature: float | None = 0.1 - vector_topk: int | None = 3 - score_threshold: float | None = 0.5 chat_history: List[Dict[str, str]] | None = None session_id: str | None = None + vector_db: VectorDbConfig | None = None class LlmQuery(BaseModel): @@ -20,8 +23,7 @@ class LlmQuery(BaseModel): class RetrievalQuery(BaseModel): question: str - topk: int | None = 3 - score_threshold: float | None = 0.5 + vector_db: VectorDbConfig | None = None class RagResponse(BaseModel): diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 20955fab..cc314882 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -1,5 +1,3 @@ -from pai_rag.data.rag_dataloader import RagDataLoader -from pai_rag.utils.oss_cache import OssCache from pai_rag.modules.module_registry import module_registry from pai_rag.evaluations.batch_evaluator import BatchEvaluator from pai_rag.app.api.models import ( @@ -24,33 +22,11 @@ def uuid_generator() -> str: class RagApplication: def __init__(self): self.name = "RagApplication" - logging.basicConfig(level=logging.INFO) # 将日志级别设置为INFO self.logger = logging.getLogger(__name__) def initialize(self, config): self.config = config - module_registry.init_modules(self.config) - self.index = module_registry.get_module("IndexModule") - self.llm = module_registry.get_module("LlmModule") - self.retriever = module_registry.get_module("RetrieverModule") - self.chat_store = module_registry.get_module("ChatStoreModule") - self.query_engine = module_registry.get_module("QueryEngineModule") - self.chat_engine_factory = module_registry.get_module("ChatEngineFactoryModule") - self.llm_chat_engine_factory = module_registry.get_module( - "LlmChatEngineFactoryModule" - ) - self.data_reader_factory = module_registry.get_module("DataReaderFactoryModule") - self.agent = module_registry.get_module("AgentModule") - - oss_cache = None - if config.get("oss_cache", None): - oss_cache = OssCache(config.oss_cache) - node_parser = module_registry.get_module("NodeParserModule") - - self.data_loader = RagDataLoader( - self.data_reader_factory, node_parser, self.index, oss_cache - ) self.logger.info("RagApplication initialized successfully.") def reload(self, config): @@ -58,15 +34,22 @@ def reload(self, config): self.logger.info("RagApplication reloaded successfully.") # TODO: 大量文件上传实现异步添加 - def load_knowledge(self, file_dir, enable_qa_extraction=False): - self.data_loader.load(file_dir, enable_qa_extraction) + async def load_knowledge(self, file_dir, enable_qa_extraction=False): + data_loader = module_registry.get_module_with_config( + "DataLoaderModule", self.config + ) + await data_loader.aload(file_dir, enable_qa_extraction) async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: if not query.question: return RetrievalResponse(docs=[]) query_bundle = QueryBundle(query.question) - node_results = await self.query_engine.aretrieve(query_bundle) + + query_engine = module_registry.get_module_with_config( + "QueryEngineModule", self.config + ) + node_results = await query_engine.aretrieve(query_bundle) docs = [ ContextDoc( @@ -96,11 +79,24 @@ async def aquery(self, query: RagQuery) -> RagResponse: answer="Empty query. Please input your question.", session_id=session_id ) - query_chat_engine = self.chat_engine_factory.get_chat_engine( + sessioned_config = self.config + if query.vector_db and query.vector_db.faiss_path: + sessioned_config = self.config.copy() + sessioned_config.index.update({"persist_path": query.vector_db.faiss_path}) + print(sessioned_config) + + chat_engine_factory = module_registry.get_module_with_config( + "ChatEngineFactoryModule", sessioned_config + ) + query_chat_engine = chat_engine_factory.get_chat_engine( session_id, query.chat_history ) response = await query_chat_engine.achat(query.question) - self.chat_store.persist() + + chat_store = module_registry.get_module_with_config( + "ChatStoreModule", sessioned_config + ) + chat_store.persist() return RagResponse(answer=response.response, session_id=session_id) async def aquery_llm(self, query: LlmQuery) -> LlmResponse: @@ -122,11 +118,18 @@ async def aquery_llm(self, query: LlmQuery) -> LlmResponse: answer="Empty query. Please input your question.", session_id=session_id ) - llm_chat_engine = self.llm_chat_engine_factory.get_chat_engine( + llm_chat_engine_factory = module_registry.get_module_with_config( + "LlmChatEngineFactoryModule", self.config + ) + llm_chat_engine = llm_chat_engine_factory.get_chat_engine( session_id, query.chat_history ) response = await llm_chat_engine.achat(query.question) - self.chat_store.persist() + + chat_store = module_registry.get_module_with_config( + "ChatStoreModule", self.config + ) + chat_store.persist() return LlmResponse(answer=response.response, session_id=session_id) async def aquery_agent(self, query: LlmQuery) -> LlmResponse: @@ -143,11 +146,18 @@ async def aquery_agent(self, query: LlmQuery) -> LlmResponse: if not query.question: return LlmResponse(answer="Empty query. Please input your question.") - response = await self.agent.achat(query.question) + agent = module_registry.get_module_with_config("AgentModule", self.config) + response = await agent.achat(query.question) return LlmResponse(answer=response.response) async def batch_evaluate_retrieval_and_response(self, type): - batch_eval = BatchEvaluator(self.config, self.retriever, self.query_engine) + retriever = module_registry.get_module_with_config( + "RetrieverModule", self.config + ) + query_engine = module_registry.get_module_with_config( + "QueryEngineModule", self.config + ) + batch_eval = BatchEvaluator(self.config, retriever, query_engine) df, eval_res_avg = await batch_eval.batch_retrieval_response_aevaluation( type=type, workers=2, save_to_file=True ) diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 43e7819c..4e768752 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -12,6 +12,9 @@ from pai_rag.app.web.view_model import view_model from openinference.instrumentation import using_attributes from typing import Any, Dict +import logging + +logger = logging.getLogger(__name__) def trace_correlation_id(function): @@ -48,14 +51,15 @@ def reload(self, new_config: Any): self.rag.reload(self.rag_configuration.get_value()) self.rag_configuration.persist() - def add_knowledge_async( + async def add_knowledge_async( self, task_id: str, file_dir: str, enable_qa_extraction: bool = False ): self.tasks_status[task_id] = "processing" try: - self.rag.load_knowledge(file_dir, enable_qa_extraction) + await self.rag.load_knowledge(file_dir, enable_qa_extraction) self.tasks_status[task_id] = "completed" - except Exception: + except Exception as ex: + logger.error(f"Upload failed: {ex}") self.tasks_status[task_id] = "failed" def get_task_status(self, task_id: str) -> str: diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 2f2f96f5..01246ce1 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -37,8 +37,8 @@ def __init__( ): self.datareader_factory = datareader_factory self.node_parser = node_parser - self.index = index self.oss_cache = oss_cache + self.index = index if use_local_qa_model: # API暂不支持此选项 @@ -111,7 +111,7 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): logger.info("[DataReader] Start inserting to index.") - self.index.insert_nodes(nodes) + await self.index.insert_nodes_async(nodes) self.index.storage_context.persist(persist_dir=store_path.persist_path) logger.info(f"Inserted {len(nodes)} nodes successfully.") return diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index feb0f750..23787e3b 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -2,14 +2,12 @@ import click import os from pathlib import Path -from pai_rag.data.rag_dataloader import RagDataLoader from pai_rag.core.rag_configuration import RagConfiguration -from pai_rag.utils.oss_cache import OssCache from pai_rag.modules.module_registry import module_registry class RagDataPipeline: - def __init__(self, data_loader: RagDataLoader): + def __init__(self, data_loader): self.data_loader = data_loader async def ingest_from_folder(self, folder_path: str, enable_qa_extraction: bool): @@ -23,16 +21,7 @@ def __init_data_pipeline(use_local_qa_model): config = RagConfiguration.from_file(config_file).get_value() module_registry.init_modules(config) - oss_cache = None - if config.get("oss_cache", None): - oss_cache = OssCache(config.oss_cache) - node_parser = module_registry.get_module("NodeParserModule") - index = module_registry.get_module("IndexModule") - data_reader_factory = module_registry.get_module("DataReaderFactoryModule") - - data_loader = RagDataLoader( - data_reader_factory, node_parser, index, oss_cache, use_local_qa_model - ) + data_loader = module_registry.get_module_with_config("DataLoaderModule", config) return RagDataPipeline(data_loader) diff --git a/src/pai_rag/evaluations/batch_evaluator.py b/src/pai_rag/evaluations/batch_evaluator.py index 47684e25..abd5f142 100644 --- a/src/pai_rag/evaluations/batch_evaluator.py +++ b/src/pai_rag/evaluations/batch_evaluator.py @@ -189,8 +189,8 @@ def __init_evaluator_pipeline(): config = RagConfiguration.from_file(config_file).get_value() module_registry.init_modules(config) - retriever = module_registry.get_module("RetrieverModule") - query_engine = module_registry.get_module("QueryEngineModule") + retriever = module_registry.get_module_with_config("RetrieverModule", config) + query_engine = module_registry.get_module_with_config("QueryEngineModule", config) return BatchEvaluator(config, retriever, query_engine) diff --git a/src/pai_rag/evaluations/dataset_generation/generate_dataset.py b/src/pai_rag/evaluations/dataset_generation/generate_dataset.py index 3bfcddc0..02b43e60 100644 --- a/src/pai_rag/evaluations/dataset_generation/generate_dataset.py +++ b/src/pai_rag/evaluations/dataset_generation/generate_dataset.py @@ -1,5 +1,6 @@ import logging import os +from pathlib import Path from pai_rag.core.rag_configuration import RagConfiguration from pai_rag.modules.module_registry import module_registry from llama_index.core.prompts.prompt_type import PromptType @@ -16,8 +17,13 @@ DEFAULT_TEXT_QA_PROMPT_TMPL, DEFAULT_QUESTION_GENERATION_QUERY, ) + import json +_BASE_DIR = Path(__file__).parent.parent.parent +DEFAULT_EVAL_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") +DEFAULT_EVAL_DATA_FOLDER = "tests/testdata/paul_graham" + class GenerateDatasetPipeline(ModifiedRagDatasetGenerator): def __init__( @@ -29,11 +35,22 @@ def __init__( show_progress: Optional[bool] = True, ) -> None: self.name = "GenerateDatasetPipeline" - self.nodes = list( - module_registry.get_module("IndexModule").docstore.docs.values() + self.config = RagConfiguration.from_file(DEFAULT_EVAL_CONFIG_FILE).get_value() + + # load nodes + module_registry.init_modules(self.config) + datareader_factory = module_registry.get_module_with_config( + "DataReaderFactoryModule", self.config ) + self.node_parser = module_registry.get_module_with_config( + "NodeParserModule", self.config + ) + reader = datareader_factory.get_reader(DEFAULT_EVAL_DATA_FOLDER) + docs = reader.load_data() + self.nodes = self.node_parser.get_nodes_from_documents(docs) + self.num_questions_per_chunk = num_questions_per_chunk - self.llm = module_registry.get_module("LlmModule") + self.llm = module_registry.get_module_with_config("LlmModule", self.config) self.text_question_template = PromptTemplate(text_question_template_str) self.text_qa_template = PromptTemplate( text_qa_template_str, prompt_type=PromptType.QUESTION_ANSWER diff --git a/src/pai_rag/modules/__init__.py b/src/pai_rag/modules/__init__.py index a23c466b..3491bb86 100644 --- a/src/pai_rag/modules/__init__.py +++ b/src/pai_rag/modules/__init__.py @@ -1,5 +1,6 @@ from pai_rag.modules.embedding.embedding import EmbeddingModule from pai_rag.modules.llm.llm_module import LlmModule +from pai_rag.modules.datareader.data_loader import DataLoaderModule from pai_rag.modules.datareader.datareader_factory import DataReaderFactoryModule from pai_rag.modules.index.index import IndexModule from pai_rag.modules.nodeparser.node_parser import NodeParserModule @@ -12,10 +13,13 @@ from pai_rag.modules.chat.chat_store import ChatStoreModule from pai_rag.modules.agent.agent import AgentModule from pai_rag.modules.tool.tool import ToolModule +from pai_rag.modules.cache.oss_cache import OssCacheModule + ALL_MODULES = [ "EmbeddingModule", "LlmModule", + "DataLoaderModule", "DataReaderFactoryModule", "IndexModule", "NodeParserModule", @@ -28,6 +32,7 @@ "LlmChatEngineFactoryModule", "AgentModule", "ToolModule", + "OssCacheModule", ] __all__ = ALL_MODULES + ["ALL_MODULES"] diff --git a/src/pai_rag/modules/base/configurable_module.py b/src/pai_rag/modules/base/configurable_module.py index 78e9b089..de9e3834 100644 --- a/src/pai_rag/modules/base/configurable_module.py +++ b/src/pai_rag/modules/base/configurable_module.py @@ -1,19 +1,19 @@ from abc import ABC, abstractmethod from typing import Dict, List, Any +import logging DEFAULT_INSTANCE_KEY = "__DEFAULT_INSTANCE__" +logger = logging.getLogger(__name__) + + class ConfigurableModule(ABC): """Configurable Module Helps to create instances according to configuration. """ - def __init__(self): - self.__params_map = {} - self.__instance_map = {} - @abstractmethod def _create_new_instance(self, new_params: Dict[str, Any]): raise NotImplementedError @@ -24,20 +24,4 @@ def get_dependencies() -> List[str]: raise NotImplementedError def get_or_create(self, new_params: Dict[str, Any]): - return self.get_or_create_by_name(new_params=new_params) - - def get_or_create_by_name( - self, new_params: Dict[str, Any], name: str = DEFAULT_INSTANCE_KEY - ): - # Create new instance when initializing or config changed. - if ( - self.__params_map.get(name, None) is None - or self.__params_map[name] != new_params - ): - print(f"{self.__class__.__name__} param changed, updating") - self.__instance_map[name] = self._create_new_instance(new_params) - self.__params_map[name] = new_params - else: - print(f"{self.__class__.__name__} param unchanged, skipping") - - return self.__instance_map[name] + return self._create_new_instance(new_params) diff --git a/src/pai_rag/modules/cache/oss_cache.py b/src/pai_rag/modules/cache/oss_cache.py new file mode 100644 index 00000000..d4a543b9 --- /dev/null +++ b/src/pai_rag/modules/cache/oss_cache.py @@ -0,0 +1,20 @@ +from typing import Any, Dict, List +from pai_rag.utils.oss_cache import OssCache +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG +import logging + +logger = logging.getLogger(__name__) + + +class OssCacheModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return [] + + def _create_new_instance(self, new_params: Dict[str, Any]): + cache_config = new_params[MODULE_PARAM_CONFIG] + if cache_config: + return OssCache(cache_config) + else: + return None diff --git a/src/pai_rag/modules/chat/chat_engine_factory.py b/src/pai_rag/modules/chat/chat_engine_factory.py index ea8eea29..69282019 100644 --- a/src/pai_rag/modules/chat/chat_engine_factory.py +++ b/src/pai_rag/modules/chat/chat_engine_factory.py @@ -18,17 +18,11 @@ logger = logging.getLogger(__name__) -class ChatEngineFactoryModule(ConfigurableModule): - @staticmethod - def get_dependencies() -> List[str]: - return ["QueryEngineModule", "ChatStoreModule"] - - def _create_new_instance(self, new_params: Dict[str, Any]): - self.config = new_params[MODULE_PARAM_CONFIG] - self.query_engine = new_params["QueryEngineModule"] - self.chat_store = new_params["ChatStoreModule"] - - return self +class ChatEngineFactory: + def __init__(self, chat_type, query_engine, chat_store): + self.chat_type = chat_type + self.query_engine = query_engine + self.chat_store = chat_store def get_chat_engine(self, session_id, chat_history): chat_memory = self.chat_store.get_chat_memory_buffer(session_id) @@ -36,7 +30,8 @@ def get_chat_engine(self, session_id, chat_history): history_messages = parse_chat_messages(chat_history) for hist_mes in history_messages: chat_memory.put(hist_mes) - if self.config.type == "CondenseQuestionChatEngine": + + if self.chat_type == "CondenseQuestionChatEngine": my_chat_engine = CondenseQuestionChatEngine.from_defaults( query_engine=self.query_engine, condense_question_prompt=CONDENSE_QUESTION_CHAT_ENGINE_PROMPT_ZH, @@ -47,3 +42,18 @@ def get_chat_engine(self, session_id, chat_history): return my_chat_engine else: raise ValueError(f"Unknown chat_engine_type: {self.config.type}") + + +class ChatEngineFactoryModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return ["QueryEngineModule", "ChatStoreModule"] + + def _create_new_instance(self, new_params: Dict[str, Any]): + config = new_params[MODULE_PARAM_CONFIG] + query_engine = new_params["QueryEngineModule"] + chat_store = new_params["ChatStoreModule"] + + return ChatEngineFactory( + config.type, query_engine=query_engine, chat_store=chat_store + ) diff --git a/src/pai_rag/modules/chat/llm_chat_engine_factory.py b/src/pai_rag/modules/chat/llm_chat_engine_factory.py index 815d0d3e..0b90cb67 100644 --- a/src/pai_rag/modules/chat/llm_chat_engine_factory.py +++ b/src/pai_rag/modules/chat/llm_chat_engine_factory.py @@ -12,16 +12,11 @@ logger = logging.getLogger(__name__) -class LlmChatEngineFactoryModule(ConfigurableModule): - @staticmethod - def get_dependencies() -> List[str]: - return ["LlmModule", "ChatStoreModule"] - - def _create_new_instance(self, new_params: Dict[str, Any]): - self.config = new_params[MODULE_PARAM_CONFIG] - self.llm = new_params["LlmModule"] - self.chat_store = new_params["ChatStoreModule"] - return self +class LlmChatEngineFactory: + def __init__(self, chat_type, llm, chat_store): + self.chat_type = chat_type + self.llm = llm + self.chat_store = chat_store def get_chat_engine(self, session_id, chat_history): chat_memory = self.chat_store.get_chat_memory_buffer(session_id) @@ -30,14 +25,26 @@ def get_chat_engine(self, session_id, chat_history): for hist_mes in history_messages: chat_memory.put(hist_mes) - if self.config.type == "SimpleChatEngine": + if self.chat_type == "SimpleChatEngine": my_chat_engine = SimpleChatEngine.from_defaults( llm=self.llm, memory=chat_memory, verbose=True, ) logger.info("simple chat_engine instance created") + + return my_chat_engine else: raise ValueError(f"Unknown chat_engine_type: {self.config.type}") - return my_chat_engine + +class LlmChatEngineFactoryModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return ["LlmModule", "ChatStoreModule"] + + def _create_new_instance(self, new_params: Dict[str, Any]): + config = new_params[MODULE_PARAM_CONFIG] + llm = new_params["LlmModule"] + chat_store = new_params["ChatStoreModule"] + return LlmChatEngineFactory(config.type, llm, chat_store) diff --git a/src/pai_rag/modules/datareader/data_loader.py b/src/pai_rag/modules/datareader/data_loader.py new file mode 100644 index 00000000..5e5e0383 --- /dev/null +++ b/src/pai_rag/modules/datareader/data_loader.py @@ -0,0 +1,25 @@ +from typing import Any, Dict, List +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.data.rag_dataloader import RagDataLoader +import logging + +logger = logging.getLogger(__name__) + + +class DataLoaderModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return [ + "OssCacheModule", + "DataReaderFactoryModule", + "NodeParserModule", + "IndexModule", + ] + + def _create_new_instance(self, new_params: Dict[str, Any]): + oss_cache = new_params["OssCacheModule"] + data_reader_factory = new_params["DataReaderFactoryModule"] + node_parser = new_params["NodeParserModule"] + index = new_params["IndexModule"] + + return RagDataLoader(data_reader_factory, node_parser, index, oss_cache) diff --git a/src/pai_rag/modules/embedding/embedding.py b/src/pai_rag/modules/embedding/embedding.py index 75efbb93..ed7eb24c 100644 --- a/src/pai_rag/modules/embedding/embedding.py +++ b/src/pai_rag/modules/embedding/embedding.py @@ -3,9 +3,9 @@ from llama_index.embeddings.openai import OpenAIEmbedding from llama_index.embeddings.azure_openai import AzureOpenAIEmbedding from llama_index.embeddings.dashscope import DashScopeEmbedding -from llama_index.embeddings.huggingface import HuggingFaceEmbedding from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG +from pai_rag.modules.embedding.my_huggingface_embedding import MyHuggingFaceEmbedding from pai_rag.utils.constants import DEFAULT_MODEL_DIR import os import logging @@ -52,7 +52,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): model_name = config.get("model_name", DEFAULT_HUGGINGFACE_EMBEDDING_MODEL) model_path = os.path.join(model_dir, model_name) - embed_model = HuggingFaceEmbedding( + embed_model = MyHuggingFaceEmbedding( model_name=model_path, embed_batch_size=embed_batch_size, ) diff --git a/src/pai_rag/modules/embedding/my_huggingface_embedding.py b/src/pai_rag/modules/embedding/my_huggingface_embedding.py new file mode 100644 index 00000000..f21f8cbb --- /dev/null +++ b/src/pai_rag/modules/embedding/my_huggingface_embedding.py @@ -0,0 +1,143 @@ +import logging +from typing import Any, List, Optional + +from llama_index.core.base.embeddings.base import ( + DEFAULT_EMBED_BATCH_SIZE, + BaseEmbedding, +) +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.callbacks import CallbackManager +from llama_index.core.utils import get_cache_dir, infer_torch_device +from llama_index.embeddings.huggingface.utils import ( + DEFAULT_HUGGINGFACE_EMBEDDING_MODEL, + get_query_instruct_for_model_name, + get_text_instruct_for_model_name, +) +from sentence_transformers import SentenceTransformer + +DEFAULT_HUGGINGFACE_LENGTH = 512 +logger = logging.getLogger(__name__) + + +# Add async interfaces +class MyHuggingFaceEmbedding(BaseEmbedding): + max_length: int = Field( + default=DEFAULT_HUGGINGFACE_LENGTH, description="Maximum length of input.", gt=0 + ) + normalize: bool = Field(default=True, description="Normalize embeddings or not.") + query_instruction: Optional[str] = Field( + description="Instruction to prepend to query text." + ) + text_instruction: Optional[str] = Field( + description="Instruction to prepend to text." + ) + cache_folder: Optional[str] = Field( + description="Cache folder for Hugging Face files." + ) + + _model: Any = PrivateAttr() + _device: str = PrivateAttr() + + def __init__( + self, + model_name: str = DEFAULT_HUGGINGFACE_EMBEDDING_MODEL, + tokenizer_name: Optional[str] = "deprecated", + pooling: str = "deprecated", + max_length: Optional[int] = None, + query_instruction: Optional[str] = None, + text_instruction: Optional[str] = None, + normalize: bool = True, + model: Optional[Any] = "deprecated", + tokenizer: Optional[Any] = "deprecated", + embed_batch_size: int = DEFAULT_EMBED_BATCH_SIZE, + cache_folder: Optional[str] = None, + trust_remote_code: bool = False, + device: Optional[str] = None, + callback_manager: Optional[CallbackManager] = None, + **model_kwargs, + ): + self._device = device or infer_torch_device() + + cache_folder = cache_folder or get_cache_dir() + + for variable, value in [ + ("model", model), + ("tokenizer", tokenizer), + ("pooling", pooling), + ("tokenizer_name", tokenizer_name), + ]: + if value != "deprecated": + raise ValueError( + f"{variable} is deprecated. Please remove it from the arguments." + ) + if model_name is None: + raise ValueError("The `model_name` argument must be provided.") + + self._model = SentenceTransformer( + model_name, + device=self._device, + cache_folder=cache_folder, + trust_remote_code=trust_remote_code, + prompts={ + "query": query_instruction + or get_query_instruct_for_model_name(model_name), + "text": text_instruction + or get_text_instruct_for_model_name(model_name), + }, + **model_kwargs, + ) + if max_length: + self._model.max_seq_length = max_length + else: + max_length = self._model.max_seq_length + + super().__init__( + embed_batch_size=embed_batch_size, + callback_manager=callback_manager, + model_name=model_name, + max_length=max_length, + normalize=normalize, + query_instruction=query_instruction, + text_instruction=text_instruction, + ) + + @classmethod + def class_name(cls) -> str: + return "HuggingFaceEmbedding" + + def _embed( + self, + sentences: List[str], + prompt_name: Optional[str] = None, + ) -> List[List[float]]: + """Embed sentences.""" + return self._model.encode( + sentences, + batch_size=self.embed_batch_size, + prompt_name=prompt_name, + normalize_embeddings=self.normalize, + ).tolist() + + def _get_query_embedding(self, query: str) -> List[float]: + """Get query embedding.""" + return self._embed(query, prompt_name="query") + + async def _aget_query_embedding(self, query: str) -> List[float]: + """Get query embedding async.""" + return self._get_query_embedding(query) + + async def _aget_text_embedding(self, text: str) -> List[float]: + """Get text embedding async.""" + return self._get_text_embedding(text) + + def _get_text_embedding(self, text: str) -> List[float]: + """Get text embedding.""" + return self._embed(text, prompt_name="text") + + def _get_text_embeddings(self, texts: List[str]) -> List[List[float]]: + """Get text embeddings.""" + return self._embed(texts, prompt_name="text") + + async def _aget_text_embeddings(self, texts: List[str]) -> List[List[float]]: + """Get text embeddings.""" + return self._embed(texts, prompt_name="text") diff --git a/src/pai_rag/modules/index/index.py b/src/pai_rag/modules/index/index.py index 248fbc96..84e22697 100644 --- a/src/pai_rag/modules/index/index.py +++ b/src/pai_rag/modules/index/index.py @@ -3,12 +3,12 @@ import sys from typing import Dict, List, Any -from llama_index.core import VectorStoreIndex - -from llama_index.core import load_index_from_storage +from pai_rag.modules.index.my_vector_store_index import MyVectorStoreIndex +from pai_rag.modules.index.index_utils import load_index_from_storage from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.modules.index.store import RagStore +from llama_index.vector_stores.faiss import FaissVectorStore from pai_rag.utils.store_utils import get_store_persist_directory_name, store_path logging.basicConfig( @@ -18,7 +18,6 @@ ) DEFAULT_PERSIST_DIR = "./storage" -INDEX_STATE_FILE = "index.state.json" class IndexModule(ConfigurableModule): @@ -33,43 +32,44 @@ class IndexModule(ConfigurableModule): def get_dependencies() -> List[str]: return ["EmbeddingModule"] - def _get_embed_vec_dim(self): + def _get_embed_vec_dim(self, embed_model): # Get dimension size of embedding vector - return len(self.embed_model._get_text_embedding("test")) + return len(embed_model._get_text_embedding("test")) def _create_new_instance(self, new_params: Dict[str, Any]): - self.config = new_params[MODULE_PARAM_CONFIG] - self.embed_model = new_params["EmbeddingModule"] - self.embed_dims = self._get_embed_vec_dim() - persist_path = self.config.get("persist_path", DEFAULT_PERSIST_DIR) - folder_name = get_store_persist_directory_name(self.config, self.embed_dims) + config = new_params[MODULE_PARAM_CONFIG] + embed_model = new_params["EmbeddingModule"] + embed_dims = self._get_embed_vec_dim(embed_model) + persist_path = config.get("persist_path", DEFAULT_PERSIST_DIR) + folder_name = get_store_persist_directory_name(config, embed_dims) store_path.persist_path = os.path.join(persist_path, folder_name) + is_empty = not os.path.exists(store_path.persist_path) + rag_store = RagStore(config, store_path.persist_path, is_empty, embed_dims) + storage_context = rag_store.get_storage_context() - self.is_empty = not os.path.exists(store_path.persist_path) - rag_store = RagStore( - self.config, store_path.persist_path, self.is_empty, self.embed_dims - ) - self.storage_context = rag_store.get_storage_context() - - if self.is_empty: - return self.create_indices() + if is_empty: + return self.create_indices(storage_context, embed_model) else: - return self.load_indices() + return self.load_indices(storage_context, embed_model) - def create_indices(self): + def create_indices(self, storage_context, embed_model): logging.info("Empty index, need to create indices.") - vector_index = VectorStoreIndex( - nodes=[], - storage_context=self.storage_context, - embed_model=self.embed_model, - store_nodes_override=True, + vector_index = MyVectorStoreIndex( + nodes=[], storage_context=storage_context, embed_model=embed_model ) logging.info("Created vector_index.") return vector_index - def load_indices(self): - vector_index = load_index_from_storage(storage_context=self.storage_context) - + def load_indices(self, storage_context, embed_model): + if isinstance(storage_context.vector_store, FaissVectorStore): + vector_index = load_index_from_storage(storage_context=storage_context) + return vector_index + else: + vector_index = MyVectorStoreIndex( + nodes=[], + storage_context=storage_context, + embed_model=embed_model, + ) return vector_index diff --git a/src/pai_rag/modules/index/index_utils.py b/src/pai_rag/modules/index/index_utils.py new file mode 100644 index 00000000..8f1ff4e5 --- /dev/null +++ b/src/pai_rag/modules/index/index_utils.py @@ -0,0 +1,109 @@ +import logging +from typing import Any, List, Optional, Sequence + +from llama_index.core.indices.base import BaseIndex +from llama_index.core.indices.composability.graph import ComposableGraph +from llama_index.core.indices.registry import INDEX_STRUCT_TYPE_TO_INDEX_CLASS +from llama_index.core.storage.storage_context import StorageContext +from llama_index.core.data_structs.struct_type import IndexStructType + +from pai_rag.modules.index.my_vector_store_index import MyVectorStoreIndex + + +MODIFIED_INDEX_STRUCT_TYPE_TO_INDEX_CLASS = INDEX_STRUCT_TYPE_TO_INDEX_CLASS +MODIFIED_INDEX_STRUCT_TYPE_TO_INDEX_CLASS[ + IndexStructType.VECTOR_STORE +] = MyVectorStoreIndex + +logger = logging.getLogger(__name__) + + +def load_index_from_storage( + storage_context: StorageContext, + index_id: Optional[str] = None, + **kwargs: Any, +) -> BaseIndex: + """Load index from storage context. + + Args: + storage_context (StorageContext): storage context containing + docstore, index store and vector store. + index_id (Optional[str]): ID of the index to load. + Defaults to None, which assumes there's only a single index + in the index store and load it. + **kwargs: Additional keyword args to pass to the index constructors. + """ + index_ids: Optional[Sequence[str]] + if index_id is None: + index_ids = None + else: + index_ids = [index_id] + + indices = load_indices_from_storage(storage_context, index_ids=index_ids, **kwargs) + + if len(indices) == 0: + raise ValueError( + "No index in storage context, check if you specified the right persist_dir." + ) + elif len(indices) > 1: + raise ValueError( + f"Expected to load a single index, but got {len(indices)} instead. " + "Please specify index_id." + ) + + return indices[0] + + +def load_indices_from_storage( + storage_context: StorageContext, + index_ids: Optional[Sequence[str]] = None, + **kwargs: Any, +) -> List[BaseIndex]: + """Load multiple indices from storage context. + + Args: + storage_context (StorageContext): storage context containing + docstore, index store and vector store. + index_id (Optional[Sequence[str]]): IDs of the indices to load. + Defaults to None, which loads all indices in the index store. + **kwargs: Additional keyword args to pass to the index constructors. + """ + if index_ids is None: + logger.info("Loading all indices.") + index_structs = storage_context.index_store.index_structs() + else: + logger.info(f"Loading indices with ids: {index_ids}") + index_structs = [] + for index_id in index_ids: + index_struct = storage_context.index_store.get_index_struct(index_id) + if index_struct is None: + raise ValueError(f"Failed to load index with ID {index_id}") + index_structs.append(index_struct) + + indices = [] + for index_struct in index_structs: + type_ = index_struct.get_type() + index_cls = MODIFIED_INDEX_STRUCT_TYPE_TO_INDEX_CLASS[type_] + index = index_cls( + index_struct=index_struct, storage_context=storage_context, **kwargs + ) + indices.append(index) + return indices + + +def load_graph_from_storage( + storage_context: StorageContext, + root_id: str, + **kwargs: Any, +) -> ComposableGraph: + """Load composable graph from storage context. + + Args: + storage_context (StorageContext): storage context containing + docstore, index store and vector store. + root_id (str): ID of the root index of the graph. + **kwargs: Additional keyword args to pass to the index constructors. + """ + indices = load_indices_from_storage(storage_context, index_ids=None, **kwargs) + all_indices = {index.index_id: index for index in indices} + return ComposableGraph(all_indices=all_indices, root_id=root_id) diff --git a/src/pai_rag/modules/index/my_vector_store_index.py b/src/pai_rag/modules/index/my_vector_store_index.py new file mode 100644 index 00000000..b4fd3f5a --- /dev/null +++ b/src/pai_rag/modules/index/my_vector_store_index.py @@ -0,0 +1,119 @@ +"""Base vector store index. + +An index that is built on top of an existing vector store. + +""" + +import asyncio +import logging +from typing import Any, Sequence +from llama_index.core import VectorStoreIndex +from llama_index.core.data_structs.data_structs import IndexDict +from llama_index.core.schema import ( + BaseNode, + IndexNode, +) +from llama_index.core.utils import iter_batch + +logger = logging.getLogger(__name__) + + +def call_async(coro): + try: + loop = asyncio.get_running_loop() + except RuntimeError: + return asyncio.run(coro) + else: + return loop.run_until_complete(coro) + + +class MyVectorStoreIndex(VectorStoreIndex): + async def _process_one_batch( + self, + nodes_batch: Sequence[Sequence[BaseNode]], + index_struct: IndexDict, + semaphore: asyncio.Semaphore, + **insert_kwargs: Any, + ): + async with semaphore: + new_ids = await self._vector_store.async_add(nodes_batch, **insert_kwargs) + + # if the vector store doesn't store text, we need to add the nodes to the + # index struct and document store + if not self._vector_store.stores_text or self._store_nodes_override: + for node, new_id in zip(nodes_batch, new_ids): + # NOTE: remove embedding from node to avoid duplication + node_without_embedding = node.copy() + node_without_embedding.embedding = None + + index_struct.add_node(node_without_embedding, text_id=new_id) + self._docstore.add_documents( + [node_without_embedding], allow_update=True + ) + + async def _postprocess_all_batch( + self, + nodes_batch_list: Sequence[Sequence[BaseNode]], + index_struct: IndexDict, + **insert_kwargs: Any, + ): + asyncio_semaphore = asyncio.Semaphore(10) + batch_process_coroutines = [] + for nodes_batch in nodes_batch_list: + batch_process_coroutines.append( + self._process_one_batch( + nodes_batch, index_struct, asyncio_semaphore, **insert_kwargs + ) + ) + await asyncio.gather(*batch_process_coroutines) + + async def _async_add_nodes_to_index( + self, + index_struct: IndexDict, + nodes: Sequence[BaseNode], + show_progress: bool = False, + **insert_kwargs: Any, + ) -> None: + """Asynchronously add nodes to index.""" + if not nodes: + return + + node_batch_list = [] + for nodes_batch in iter_batch(nodes, 100): + nodes_batch = await self._aget_node_with_embedding( + nodes_batch, show_progress + ) + node_batch_list.append(nodes_batch) + + await self._postprocess_all_batch( + node_batch_list, index_struct, **insert_kwargs + ) + + async def _insert_async( + self, nodes: Sequence[BaseNode], **insert_kwargs: Any + ) -> None: + """Insert a document.""" + await self._async_add_nodes_to_index( + self._index_struct, nodes, show_progress=True, **insert_kwargs + ) + + async def insert_nodes_async( + self, nodes: Sequence[BaseNode], **insert_kwargs: Any + ) -> None: + """Insert nodes. + + NOTE: overrides BaseIndex.insert_nodes. + VectorStoreIndex only stores nodes in document store + if vector store does not store text + """ + for node in nodes: + if isinstance(node, IndexNode): + try: + node.dict() + except ValueError: + self._object_map[node.index_id] = node.obj + node.obj = None + + with self._callback_manager.as_trace("insert_nodes"): + await self._insert_async(nodes, **insert_kwargs) + self._storage_context.index_store.add_index_struct(self._index_struct) diff --git a/src/pai_rag/modules/index/store.py b/src/pai_rag/modules/index/store.py index 1a290cdd..4d423f5b 100644 --- a/src/pai_rag/modules/index/store.py +++ b/src/pai_rag/modules/index/store.py @@ -6,7 +6,6 @@ from llama_index.vector_stores.analyticdb import AnalyticDBVectorStore from llama_index.vector_stores.faiss import FaissVectorStore from llama_index.vector_stores.chroma import ChromaVectorStore -from llama_index.vector_stores.elasticsearch import ElasticsearchStore from llama_index.vector_stores.milvus import MilvusVectorStore from elasticsearch.helpers.vectorstore import AsyncDenseVectorStrategy @@ -16,6 +15,8 @@ from llama_index.core import StorageContext import logging +from pai_rag.modules.retriever.my_elasticsearch_store import MyElasticsearchStore + DEFAULT_CHROMA_COLLECTION_NAME = "pairag" logger = logging.getLogger(__name__) @@ -36,14 +37,19 @@ def _get_or_create_storage_context(self): self.vector_store = None self.doc_store = None self.index_store = None + persist_dir = None vector_store_type = ( - self.store_config["vector_store"].get("type", "chroma").lower() + self.store_config["vector_store"].get("type", "faiss").lower() ) + if vector_store_type == "chroma": self.vector_store = self._get_or_create_chroma() logger.info("initialized Chroma vector store.") elif vector_store_type == "faiss": + self.doc_store = self._get_or_create_simple_doc_store() + self.index_store = self._get_or_create_simple_index_store() + persist_dir = self.persist_dir self.vector_store = self._get_or_create_faiss() logger.info("initialized FAISS vector store.") elif vector_store_type == "hologres": @@ -60,14 +66,11 @@ def _get_or_create_storage_context(self): else: raise ValueError(f"Unknown vector_store type '{vector_store_type}'.") - self.doc_store = self._get_or_create_simple_doc_store() - self.index_store = self._get_or_create_simple_index_store() - storage_context = StorageContext.from_defaults( docstore=self.doc_store, index_store=self.index_store, vector_store=self.vector_store, - persist_dir=self.persist_dir, + persist_dir=persist_dir, ) return storage_context @@ -124,12 +127,15 @@ def _get_or_create_adb(self): def _get_or_create_es(self): es_config = self.store_config["vector_store"] - return ElasticsearchStore( + return MyElasticsearchStore( index_name=es_config["es_index"], es_url=es_config["es_url"], es_user=es_config["es_user"], es_password=es_config["es_password"], - retrieval_strategy=AsyncDenseVectorStrategy(hybrid=True), + embedding_dimension=self.embed_dims, + retrieval_strategy=AsyncDenseVectorStrategy( + hybrid=True, rrf={"window_size": 50} + ), ) def _get_or_create_milvus(self): diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index 12c65ce3..cc2dca46 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -1,5 +1,8 @@ +import hashlib +from typing import Dict, Any from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG import pai_rag.modules as modules +import logging MODULE_CONFIG_KEY_MAP = { "IndexModule": "index", @@ -16,17 +19,25 @@ "DataReaderFactoryModule": "data_reader", "AgentModule": "agent", "ToolModule": "tool", + "DataLoaderModule": "data_loader", + "OssCacheModule": "cache", } +logger = logging.getLogger(__name__) + + class ModuleRegistry: def __init__(self): - self._mod_instance_map = {} self._mod_cls_map = {} self._mod_deps_map = {} self._mod_deps_map_inverted = {} + self._mod_instance_map = {} + for m_name in modules.ALL_MODULES: + self._mod_instance_map[m_name] = {} + m_cls = getattr(modules, m_name) self._mod_cls_map[m_name] = m_cls() @@ -38,12 +49,16 @@ def __init__(self): self._mod_deps_map_inverted[dep] = [] self._mod_deps_map_inverted[dep].append(m_name) - def get_module(self, module_key: str): - return self._mod_instance_map[module_key] + def _get_param_hash(self, params: Dict[str, Any]): + repr_str = repr(sorted(params.items())).encode("utf-8") + return hashlib.sha256(repr_str).hexdigest() + + def get_module_with_config(self, module_key, config): + return self._create_mod_lazily(module_key, config) def init_modules(self, config): + mod_cache = {} mod_stack = [] - mods_inited = [] mod_ref_count = {} for mod, deps in self._mod_deps_map.items(): ref_count = len(deps) @@ -53,9 +68,8 @@ def init_modules(self, config): while mod_stack: mod = mod_stack.pop() - mod_obj = self._init_mod(mod, config) - mods_inited.append(mod) - self._mod_instance_map[mod] = mod_obj + mod_obj = self._create_mod_lazily(mod, config, mod_cache) + mod_cache[mod] = mod_obj # update module ref count that depends on on ref_mods = self._mod_deps_map_inverted.get(mod, []) @@ -64,23 +78,35 @@ def init_modules(self, config): if mod_ref_count[ref_mod] == 0: mod_stack.append(ref_mod) - if len(mods_inited) != len(modules.ALL_MODULES): + if len(mod_cache) != len(modules.ALL_MODULES): # dependency circular error! raise ValueError( - f"Circular dependency detected. Please check module dependency configuration. Module initialized: {mods_inited}. Module ref count: {mod_ref_count}" + f"Circular dependency detected. Please check module dependency configuration. Module initialized: {mod_cache}. Module ref count: {mod_ref_count}" ) - print(f"RAG modules init successfully. {mods_inited}") + logger.info(f"RAG modules init successfully. {mod_cache.keys()}") return - def _init_mod(self, mod_name, config): + def _create_mod_lazily(self, mod_name, config, mod_cache=None): + if mod_cache and mod_name in mod_cache: + return mod_cache[mod_name] + + logger.info(f"Get module {mod_name}.") + mod_config_key = MODULE_CONFIG_KEY_MAP[mod_name] mod_deps = self._mod_deps_map[mod_name] mod_cls = self._mod_cls_map[mod_name] - params = {MODULE_PARAM_CONFIG: config[mod_config_key]} + params = {MODULE_PARAM_CONFIG: config.get(mod_config_key, None)} for dep in mod_deps: - params[dep] = self.get_module(dep) - return mod_cls.get_or_create(params) + params[dep] = self._create_mod_lazily(dep, config, mod_cache) + + instance_key = self._get_param_hash(params) + if instance_key not in self._mod_instance_map[mod_name]: + logger.info(f"Creating new instance for module {mod_name} {instance_key}.") + self._mod_instance_map[mod_name][instance_key] = mod_cls.get_or_create( + params + ) + return self._mod_instance_map[mod_name][instance_key] module_registry = ModuleRegistry() diff --git a/src/pai_rag/modules/retriever/my_elasticsearch_store.py b/src/pai_rag/modules/retriever/my_elasticsearch_store.py new file mode 100644 index 00000000..63205ccc --- /dev/null +++ b/src/pai_rag/modules/retriever/my_elasticsearch_store.py @@ -0,0 +1,538 @@ +"""Elasticsearch vector store.""" + +import asyncio +from logging import getLogger +from typing import Any, Callable, Dict, List, Literal, Optional, Union + +import nest_asyncio +import numpy as np +from llama_index.core.bridge.pydantic import PrivateAttr +from llama_index.core.schema import BaseNode, MetadataMode, TextNode +from llama_index.core.vector_stores.types import ( + BasePydanticVectorStore, + MetadataFilters, + VectorStoreQuery, + VectorStoreQueryMode, + VectorStoreQueryResult, +) +from llama_index.core.vector_stores.utils import ( + metadata_dict_to_node, + node_to_metadata_dict, +) +from elasticsearch.helpers.vectorstore import AsyncVectorStore +from elasticsearch.helpers.vectorstore import ( + AsyncBM25Strategy, + AsyncSparseVectorStrategy, + AsyncDenseVectorStrategy, + AsyncRetrievalStrategy, + DistanceMetric, +) + +from llama_index.vector_stores.elasticsearch.utils import ( + get_elasticsearch_client, + get_user_agent, +) + +logger = getLogger(__name__) + +DISTANCE_STRATEGIES = Literal[ + "COSINE", + "DOT_PRODUCT", + "EUCLIDEAN_DISTANCE", +] + + +def _to_elasticsearch_filter(standard_filters: MetadataFilters) -> Dict[str, Any]: + """ + Convert standard filters to Elasticsearch filter. + + Args: + standard_filters: Standard Llama-index filters. + + Returns: + Elasticsearch filter. + """ + if len(standard_filters.legacy_filters()) == 1: + filter = standard_filters.legacy_filters()[0] + return { + "term": { + f"metadata.{filter.key}.keyword": { + "value": filter.value, + } + } + } + else: + operands = [] + for filter in standard_filters.legacy_filters(): + operands.append( + { + "term": { + f"metadata.{filter.key}.keyword": { + "value": filter.value, + } + } + } + ) + return {"bool": {"must": operands}} + + +def _to_llama_similarities(scores: List[float]) -> List[float]: + if scores is None or len(scores) == 0: + return [] + + scores_to_norm: np.ndarray = np.array(scores) + return np.exp(scores_to_norm - np.max(scores_to_norm)).tolist() + + +def _mode_must_match_retrieval_strategy( + mode: VectorStoreQueryMode, retrieval_strategy: AsyncRetrievalStrategy +) -> None: + """ + Different retrieval strategies require different ways of indexing that must be known at the + time of adding data. The query mode is known at query time. This function checks if the + retrieval strategy (and way of indexing) is compatible with the query mode and raises and + exception in the case of a mismatch. + """ + if mode == VectorStoreQueryMode.DEFAULT: + # it's fine to not specify an explicit other mode + return + + mode_retrieval_dict = { + VectorStoreQueryMode.SPARSE: AsyncSparseVectorStrategy, + VectorStoreQueryMode.TEXT_SEARCH: AsyncBM25Strategy, + VectorStoreQueryMode.HYBRID: AsyncDenseVectorStrategy, + } + + required_strategy = mode_retrieval_dict.get(mode) + if not required_strategy: + raise NotImplementedError(f"query mode {mode} currently not supported") + + if not isinstance(retrieval_strategy, required_strategy): + raise ValueError( + f"query mode {mode} incompatible with retrieval strategy {type(retrieval_strategy)}, " + f"expected {required_strategy}" + ) + + if mode == VectorStoreQueryMode.HYBRID and not retrieval_strategy.hybrid: + raise ValueError("to enable hybrid mode, it must be set in retrieval strategy") + + +class MyElasticsearchStore(BasePydanticVectorStore): + """ + Elasticsearch vector store. + + Args: + index_name: Name of the Elasticsearch index. + es_client: Optional. Pre-existing AsyncElasticsearch client. + es_url: Optional. Elasticsearch URL. + es_cloud_id: Optional. Elasticsearch cloud ID. + es_api_key: Optional. Elasticsearch API key. + es_user: Optional. Elasticsearch username. + es_password: Optional. Elasticsearch password. + text_field: Optional. Name of the Elasticsearch field that stores the text. + vector_field: Optional. Name of the Elasticsearch field that stores the + embedding. + batch_size: Optional. Batch size for bulk indexing. Defaults to 200. + distance_strategy: Optional. Distance strategy to use for similarity search. + Defaults to "COSINE". + retrieval_strategy: Retrieval strategy to use. AsyncBM25Strategy / + AsyncSparseVectorStrategy / AsyncDenseVectorStrategy / AsyncRetrievalStrategy. + Defaults to AsyncDenseVectorStrategy. + + Raises: + ConnectionError: If AsyncElasticsearch client cannot connect to Elasticsearch. + ValueError: If neither es_client nor es_url nor es_cloud_id is provided. + + Examples: + `pip install llama-index-vector-stores-elasticsearch` + + ```python + from llama_index.vector_stores import ElasticsearchStore + + # Additional setup for ElasticsearchStore class + index_name = "my_index" + es_url = "http://localhost:9200" + es_cloud_id = "" # Found within the deployment page + es_user = "elastic" + es_password = "" # Provided when creating deployment or can be reset + es_api_key = "" # Create an API key within Kibana (Security -> API Keys) + + # Connecting to ElasticsearchStore locally + es_local = ElasticsearchStore( + index_name=index_name, + es_url=es_url, + ) + + # Connecting to Elastic Cloud with username and password + es_cloud_user_pass = ElasticsearchStore( + index_name=index_name, + es_cloud_id=es_cloud_id, + es_user=es_user, + es_password=es_password, + ) + + # Connecting to Elastic Cloud with API Key + es_cloud_api_key = ElasticsearchStore( + index_name=index_name, + es_cloud_id=es_cloud_id, + es_api_key=es_api_key, + ) + ``` + + """ + + class Config: + # allow pydantic to tolarate its inability to validate AsyncRetrievalStrategy + arbitrary_types_allowed = True + + stores_text: bool = True + index_name: str + es_client: Optional[Any] + es_url: Optional[str] + es_cloud_id: Optional[str] + es_api_key: Optional[str] + es_user: Optional[str] + es_password: Optional[str] + text_field: str = "content" + vector_field: str = "embedding" + batch_size: int = 200 + distance_strategy: Optional[DISTANCE_STRATEGIES] = "COSINE" + retrieval_strategy: AsyncRetrievalStrategy + + _store = PrivateAttr() + + def __init__( + self, + index_name: str, + es_client: Optional[Any] = None, + es_url: Optional[str] = None, + es_cloud_id: Optional[str] = None, + es_api_key: Optional[str] = None, + es_user: Optional[str] = None, + es_password: Optional[str] = None, + text_field: str = "content", + vector_field: str = "embedding", + embedding_dimension: int = 1536, + batch_size: int = 200, + distance_strategy: Optional[DISTANCE_STRATEGIES] = "COSINE", + retrieval_strategy: Optional[AsyncRetrievalStrategy] = None, + ) -> None: + nest_asyncio.apply() + + if not es_client: + es_client = get_elasticsearch_client( + url=es_url, + cloud_id=es_cloud_id, + api_key=es_api_key, + username=es_user, + password=es_password, + ) + + if retrieval_strategy is None: + retrieval_strategy = AsyncDenseVectorStrategy( + distance=DistanceMetric[distance_strategy] + ) + + metadata_mappings = { + "document_id": {"type": "keyword"}, + "doc_id": {"type": "keyword"}, + "ref_doc_id": {"type": "keyword"}, + } + + self._store = AsyncVectorStore( + user_agent=get_user_agent(), + client=es_client, + index=index_name, + retrieval_strategy=retrieval_strategy, + text_field=text_field, + vector_field=vector_field, + metadata_mappings=metadata_mappings, + num_dimensions=embedding_dimension, + ) + asyncio.get_event_loop().run_until_complete( + self._store._create_index_if_not_exists() + ) + + super().__init__( + index_name=index_name, + es_client=es_client, + es_url=es_url, + es_cloud_id=es_cloud_id, + es_api_key=es_api_key, + es_user=es_user, + es_password=es_password, + text_field=text_field, + vector_field=vector_field, + batch_size=batch_size, + distance_strategy=distance_strategy, + retrieval_strategy=retrieval_strategy, + ) + + @property + def client(self) -> Any: + """Get async elasticsearch client.""" + return self._store.client + + def close(self) -> None: + return asyncio.get_event_loop().run_until_complete(self._store.close()) + + def add( + self, + nodes: List[BaseNode], + *, + create_index_if_not_exists: bool = True, + **add_kwargs: Any, + ) -> List[str]: + """ + Add nodes to Elasticsearch index. + + Args: + nodes: List of nodes with embeddings. + create_index_if_not_exists: Optional. Whether to create + the Elasticsearch index if it + doesn't already exist. + Defaults to True. + + Returns: + List of node IDs that were added to the index. + + Raises: + ImportError: If elasticsearch['async'] python package is not installed. + BulkIndexError: If AsyncElasticsearch async_bulk indexing fails. + """ + return asyncio.get_event_loop().run_until_complete( + self.async_add(nodes, create_index_if_not_exists=create_index_if_not_exists) + ) + + async def async_add( + self, + nodes: List[BaseNode], + *, + create_index_if_not_exists: bool = True, + **add_kwargs: Any, + ) -> List[str]: + """ + Asynchronous method to add nodes to Elasticsearch index. + + Args: + nodes: List of nodes with embeddings. + create_index_if_not_exists: Optional. Whether to create + the AsyncElasticsearch index if it + doesn't already exist. + Defaults to True. + + Returns: + List of node IDs that were added to the index. + + Raises: + ImportError: If elasticsearch python package is not installed. + BulkIndexError: If AsyncElasticsearch async_bulk indexing fails. + """ + if len(nodes) == 0: + return [] + + add_kwargs.update({"max_retries": 3}) + + embeddings: List[List[float]] = [] + texts: List[str] = [] + metadatas: List[dict] = [] + ids: List[str] = [] + for node in nodes: + ids.append(node.node_id) + embeddings.append(node.get_embedding()) + texts.append(node.get_content(metadata_mode=MetadataMode.NONE)) + metadatas.append(node_to_metadata_dict(node, remove_text=True)) + + if not self._store.num_dimensions: + self._store.num_dimensions = len(embeddings[0]) + + return await self._store.add_texts( + texts=texts, + metadatas=metadatas, + vectors=embeddings, + ids=ids, + create_index_if_not_exists=create_index_if_not_exists, + bulk_kwargs=add_kwargs, + ) + + def delete(self, ref_doc_id: str, **delete_kwargs: Any) -> None: + """ + Delete node from Elasticsearch index. + + Args: + ref_doc_id: ID of the node to delete. + delete_kwargs: Optional. Additional arguments to + pass to Elasticsearch delete_by_query. + + Raises: + Exception: If Elasticsearch delete_by_query fails. + """ + return asyncio.get_event_loop().run_until_complete( + self.adelete(ref_doc_id, **delete_kwargs) + ) + + async def adelete(self, ref_doc_id: str, **delete_kwargs: Any) -> None: + """ + Async delete node from Elasticsearch index. + + Args: + ref_doc_id: ID of the node to delete. + delete_kwargs: Optional. Additional arguments to + pass to AsyncElasticsearch delete_by_query. + + Raises: + Exception: If AsyncElasticsearch delete_by_query fails. + """ + await self._store.delete( + query={"term": {"metadata.ref_doc_id": ref_doc_id}}, **delete_kwargs + ) + + def query( + self, + query: VectorStoreQuery, + custom_query: Optional[ + Callable[[Dict, Union[VectorStoreQuery, None]], Dict] + ] = None, + es_filter: Optional[List[Dict]] = None, + **kwargs: Any, + ) -> VectorStoreQueryResult: + """ + Query index for top k most similar nodes. + + Args: + query_embedding (List[float]): query embedding + custom_query: Optional. custom query function that takes in the es query + body and returns a modified query body. + This can be used to add additional query + parameters to the Elasticsearch query. + es_filter: Optional. Elasticsearch filter to apply to the + query. If filter is provided in the query, + this filter will be ignored. + + Returns: + VectorStoreQueryResult: Result of the query. + + Raises: + Exception: If Elasticsearch query fails. + + """ + return asyncio.get_event_loop().run_until_complete( + self.aquery(query, custom_query, es_filter, **kwargs) + ) + + async def aquery( + self, + query: VectorStoreQuery, + custom_query: Optional[ + Callable[[Dict, Union[VectorStoreQuery, None]], Dict] + ] = None, + es_filter: Optional[List[Dict]] = None, + **kwargs: Any, + ) -> VectorStoreQueryResult: + """ + Asynchronous query index for top k most similar nodes. + + Args: + query_embedding (VectorStoreQuery): query embedding + custom_query: Optional. custom query function that takes in the es query + body and returns a modified query body. + This can be used to add additional query + parameters to the AsyncElasticsearch query. + es_filter: Optional. AsyncElasticsearch filter to apply to the + query. If filter is provided in the query, + this filter will be ignored. + + Returns: + VectorStoreQueryResult: Result of the query. + + Raises: + Exception: If AsyncElasticsearch query fails. + + """ + if query.mode == VectorStoreQueryMode.HYBRID: + retrieval_strategy = AsyncDenseVectorStrategy( + hybrid=True, rrf={"window_size": 50} + ) + elif query.mode == VectorStoreQueryMode.TEXT_SEARCH: + retrieval_strategy = AsyncBM25Strategy() + else: + retrieval_strategy = AsyncDenseVectorStrategy() + + metadata_mappings = { + "document_id": {"type": "keyword"}, + "doc_id": {"type": "keyword"}, + "ref_doc_id": {"type": "keyword"}, + } + self._store = AsyncVectorStore( + user_agent=get_user_agent(), + client=self.es_client, + index=self.index_name, + retrieval_strategy=retrieval_strategy, + text_field=self.text_field, + vector_field=self.vector_field, + metadata_mappings=metadata_mappings, + ) + + if query.filters is not None and len(query.filters.legacy_filters()) > 0: + filter = [_to_elasticsearch_filter(query.filters)] + else: + filter = es_filter or [] + + hits = await self._store.search( + query=query.query_str, + query_vector=query.query_embedding, + k=query.similarity_top_k, + num_candidates=query.similarity_top_k * 10, + filter=filter, + custom_query=custom_query, + ) + + top_k_nodes = [] + top_k_ids = [] + top_k_scores = [] + for hit in hits: + source = hit["_source"] + metadata = source.get("metadata", None) + text = source.get(self.text_field, None) + node_id = hit["_id"] + + try: + node = metadata_dict_to_node(metadata) + node.text = text + except Exception: + # Legacy support for old metadata format + logger.warning( + f"Could not parse metadata from hit {hit['_source']['metadata']}" + ) + node_info = source.get("node_info") + relationships = source.get("relationships", {}) + start_char_idx = None + end_char_idx = None + if isinstance(node_info, dict): + start_char_idx = node_info.get("start", None) + end_char_idx = node_info.get("end", None) + + node = TextNode( + text=text, + metadata=metadata, + id_=node_id, + start_char_idx=start_char_idx, + end_char_idx=end_char_idx, + relationships=relationships, + ) + top_k_nodes.append(node) + top_k_ids.append(node_id) + top_k_scores.append(hit.get("_rank", hit["_score"])) + + if ( + isinstance(self.retrieval_strategy, AsyncDenseVectorStrategy) + and self.retrieval_strategy.hybrid + ): + total_rank = sum(top_k_scores) + top_k_scores = [total_rank - rank / total_rank for rank in top_k_scores] + + return VectorStoreQueryResult( + nodes=top_k_nodes, + ids=top_k_ids, + similarities=_to_llama_similarities(top_k_scores), + ) diff --git a/src/pai_rag/modules/retriever/my_vector_index_retriever.py b/src/pai_rag/modules/retriever/my_vector_index_retriever.py index 16c98946..755f02a6 100644 --- a/src/pai_rag/modules/retriever/my_vector_index_retriever.py +++ b/src/pai_rag/modules/retriever/my_vector_index_retriever.py @@ -25,7 +25,7 @@ class MyVectorIndexRetriever(VectorIndexRetriever): and return the results with the query_result.similarities sorted in descending order. Args: - index (VectorStoreIndex): vector store index. + index (MyVectorIndexRetriever): vector store index. similarity_top_k (int): number of top k results to return. vector_store_query_mode (str): vector store query mode See reference for VectorStoreQueryMode for full list of supported modes. diff --git a/src/pai_rag/modules/retriever/retriever.py b/src/pai_rag/modules/retriever/retriever.py index bc7cbca3..d65b4a33 100644 --- a/src/pai_rag/modules/retriever/retriever.py +++ b/src/pai_rag/modules/retriever/retriever.py @@ -3,29 +3,23 @@ import logging from typing import Dict, List, Any -import jieba -from nltk.corpus import stopwords from llama_index.core.indices.list.base import SummaryIndex from llama_index.core.retrievers import QueryFusionRetriever from llama_index.core.tools import RetrieverTool from llama_index.core.selectors import LLMSingleSelector from llama_index.core.retrievers import RouterRetriever +from llama_index.core.vector_stores.types import VectorStoreQueryMode -# from llama_index.retrievers.bm25 import BM25Retriever +from pai_rag.utils.tokenizer import jieba_tokenizer from pai_rag.integrations.retrievers.bm25 import BM25Retriever from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.utils.prompt_template import QUERY_GEN_PROMPT +from pai_rag.modules.retriever.my_elasticsearch_store import MyElasticsearchStore from pai_rag.modules.retriever.my_vector_index_retriever import MyVectorIndexRetriever logger = logging.getLogger(__name__) -stopword_list = stopwords.words("chinese") + stopwords.words("english") - - -def jieba_tokenize(text: str) -> List[str]: - return [w for w in jieba.lcut(text) if w not in stopword_list] - class RetrieverModule(ConfigurableModule): @staticmethod @@ -37,23 +31,39 @@ def _create_new_instance(self, new_params: Dict[str, Any]): vector_index = new_params["IndexModule"] similarity_top_k = config.get("similarity_top_k", 5) - # vector + + retrieval_mode = config.get("retrieval_mode", "hybrid").lower() + + # Special handle elastic search + if isinstance(vector_index.storage_context.vector_store, MyElasticsearchStore): + if retrieval_mode == "embedding": + query_mode = VectorStoreQueryMode.DEFAULT + elif retrieval_mode == "keyword": + query_mode = VectorStoreQueryMode.TEXT_SEARCH + else: + query_mode = VectorStoreQueryMode.HYBRID + + return MyVectorIndexRetriever( + index=vector_index, + similarity_top_k=similarity_top_k, + vector_store_query_mode=query_mode, + ) + vector_retriever = MyVectorIndexRetriever( index=vector_index, similarity_top_k=similarity_top_k ) - # keyword bm25_retriever = BM25Retriever.from_defaults( index=vector_index, similarity_top_k=similarity_top_k, - tokenizer=jieba_tokenize, + tokenizer=jieba_tokenizer, ) - if config["retrieval_mode"] == "embedding": + if retrieval_mode == "embedding": logger.info(f"MyVectorIndexRetriever used with top_k {similarity_top_k}.") return vector_retriever - elif config["retrieval_mode"] == "keyword": + elif retrieval_mode == "keyword": logger.info(f"BM25Retriever used with top_k {similarity_top_k}.") return bm25_retriever diff --git a/src/pai_rag/utils/store_utils.py b/src/pai_rag/utils/store_utils.py index a42bb42c..0873375c 100644 --- a/src/pai_rag/utils/store_utils.py +++ b/src/pai_rag/utils/store_utils.py @@ -14,9 +14,9 @@ def get_store_persist_directory_name(storage_config, ndims): raw_text = "sample_store_key" vector_store_type = storage_config["vector_store"]["type"].lower() if vector_store_type == "chroma": - raw_text = json.dumps(storage_config["vector_store"]) + raw_text = json.dumps(storage_config["vector_store"], sort_keys=True) elif vector_store_type == "faiss": - raw_text = json.dumps(storage_config["vector_store"]) + raw_text = {"type": "faiss"} elif vector_store_type == "hologres": keywords = ["host", "port", "database", "table_name"] json_data = {k: storage_config["vector_store"][k] for k in keywords} diff --git a/src/pai_rag/utils/tokenizer.py b/src/pai_rag/utils/tokenizer.py new file mode 100644 index 00000000..168702b9 --- /dev/null +++ b/src/pai_rag/utils/tokenizer.py @@ -0,0 +1,16 @@ +import jieba +from nltk.corpus import stopwords +from typing import List + +stopword_list = stopwords.words("chinese") + stopwords.words("english") + + +## PUT in utils file and add stopword in TRIE structure. +def jieba_tokenizer(text: str) -> List[str]: + tokens = [] + for w in jieba.lcut(text): + token = w.lower() + if token not in stopword_list: + tokens.append(token) + + return tokens diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index 457d599c..ef27858f 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -28,12 +28,9 @@ def rag_app(): # Test load knowledge file -def test_add_knowledge_file(rag_app: RagApplication): +async def test_add_knowledge_file(rag_app: RagApplication): data_dir = os.path.join(BASE_DIR, "tests/testdata/paul_graham") - print(len(rag_app.index.docstore.docs)) - rag_app.load_knowledge(data_dir) - print(len(rag_app.index.docstore.docs)) - assert len(rag_app.index.docstore.docs) > 0 + await rag_app.load_knowledge(data_dir) # Test rag query From 0b136e44330370a315109eb09b07d5b35dabe369 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Fri, 14 Jun 2024 15:17:36 +0800 Subject: [PATCH 05/69] Modify async upload to sync (#64) * Modify async upload to sync * fix failed test --- src/pai_rag/app/api/query.py | 2 +- src/pai_rag/app/web/rag_client.py | 12 +++++++----- src/pai_rag/app/web/tabs/upload_tab.py | 11 +++++++++-- src/pai_rag/core/rag_application.py | 8 +++++++- src/pai_rag/core/rag_service.py | 4 ++-- tests/core/test_rag_application.py | 4 ++-- 6 files changed, 28 insertions(+), 13 deletions(-) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index dc0ec7fc..8e8192e6 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -41,7 +41,7 @@ async def aupdate(new_config: Any = Body(None)): @router.post("/upload_data") -async def load_data(input: DataInput, background_tasks: BackgroundTasks): +def load_data(input: DataInput, background_tasks: BackgroundTasks): task_id = uuid.uuid4().hex background_tasks.add_task( rag_service.add_knowledge_async, diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 118b923d..ed2aa3e1 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -4,6 +4,7 @@ import requests import html import markdown +import httpx cache_config = None @@ -95,11 +96,12 @@ def add_knowledge(self, file_dir: str, enable_qa_extraction: bool): response = dotdict(json.loads(r.text)) return response - def get_knowledge_state(self, task_id: str): - r = requests.get(self.get_load_state_url, params={"task_id": task_id}) - r.raise_for_status() - response = dotdict(json.loads(r.text)) - return response + async def get_knowledge_state(self, task_id: str): + async with httpx.AsyncClient() as client: + r = await client.get(self.get_load_state_url, params={"task_id": task_id}) + r.raise_for_status() + response = dotdict(json.loads(r.text)) + return response def reload_config(self, config: Any): global cache_config diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index 96e4d7a2..b1f6302b 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -6,6 +6,7 @@ from pai_rag.app.web.view_model import view_model from pai_rag.utils.file_utils import MyUploadFile import pandas as pd +import asyncio def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extraction): @@ -15,7 +16,13 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti rag_client.reload_config(new_config) if not upload_files: - return "No file selected. Please choose at least one file." + yield [ + gr.update(visible=False), + gr.update( + visible=True, + value="No file selected. Please choose at least one file.", + ), + ] my_upload_files = [] for file in upload_files: @@ -28,7 +35,7 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti result = {"Info": ["StartTime", "EndTime", "Duration(s)", "Status"]} while not all(file.finished is True for file in my_upload_files): for file in my_upload_files: - response = rag_client.get_knowledge_state(str(file.task_id)) + response = asyncio.run(rag_client.get_knowledge_state(str(file.task_id))) file.update_state(response["status"]) file.update_process_duration() result[file.file_name] = file.__info__() diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index cc314882..5f63157a 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -34,12 +34,18 @@ def reload(self, config): self.logger.info("RagApplication reloaded successfully.") # TODO: 大量文件上传实现异步添加 - async def load_knowledge(self, file_dir, enable_qa_extraction=False): + async def aload_knowledge(self, file_dir, enable_qa_extraction=False): data_loader = module_registry.get_module_with_config( "DataLoaderModule", self.config ) await data_loader.aload(file_dir, enable_qa_extraction) + def load_knowledge(self, file_dir, enable_qa_extraction=False): + data_loader = module_registry.get_module_with_config( + "DataLoaderModule", self.config + ) + data_loader.load(file_dir, enable_qa_extraction) + async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: if not query.question: return RetrievalResponse(docs=[]) diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 4e768752..dd1f369c 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -51,12 +51,12 @@ def reload(self, new_config: Any): self.rag.reload(self.rag_configuration.get_value()) self.rag_configuration.persist() - async def add_knowledge_async( + def add_knowledge_async( self, task_id: str, file_dir: str, enable_qa_extraction: bool = False ): self.tasks_status[task_id] = "processing" try: - await self.rag.load_knowledge(file_dir, enable_qa_extraction) + self.rag.load_knowledge(file_dir, enable_qa_extraction) self.tasks_status[task_id] = "completed" except Exception as ex: logger.error(f"Upload failed: {ex}") diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index ef27858f..83006385 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -28,9 +28,9 @@ def rag_app(): # Test load knowledge file -async def test_add_knowledge_file(rag_app: RagApplication): +def test_add_knowledge_file(rag_app: RagApplication): data_dir = os.path.join(BASE_DIR, "tests/testdata/paul_graham") - await rag_app.load_knowledge(data_dir) + rag_app.load_knowledge(data_dir) # Test rag query From 6c5eee4e2ae3c8eaf9f7cbb156c19cc20402582d Mon Sep 17 00:00:00 2001 From: Yue Fei <59813791+moria97@users.noreply.github.com> Date: Fri, 14 Jun 2024 16:55:03 +0800 Subject: [PATCH 06/69] Fix faiss_path not effective in retrieval (#65) --- src/pai_rag/core/rag_application.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 5f63157a..9137bac5 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -50,10 +50,15 @@ async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: if not query.question: return RetrievalResponse(docs=[]) + sessioned_config = self.config + if query.vector_db and query.vector_db.faiss_path: + sessioned_config = self.config.copy() + sessioned_config.index.update({"persist_path": query.vector_db.faiss_path}) + query_bundle = QueryBundle(query.question) query_engine = module_registry.get_module_with_config( - "QueryEngineModule", self.config + "QueryEngineModule", sessioned_config ) node_results = await query_engine.aretrieve(query_bundle) From 435a8b596fdae91cf429072122713c402ad5981f Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Wed, 19 Jun 2024 14:37:51 +0800 Subject: [PATCH 07/69] Add API to support upload local files (#67) * support upload file via API * add Readme for upload API * refactor query api * modify load_knowledge with session_config * use tempfile.mkdtemp() to store upload files --- README.md | 20 +++++++++++++++++ src/pai_rag/app/api/query.py | 33 ++++++++++++++++++++++++++++- src/pai_rag/core/rag_application.py | 12 +++++++++-- src/pai_rag/core/rag_service.py | 8 +++++-- 4 files changed, 68 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 9785d4fd..46d1934e 100644 --- a/README.md +++ b/README.md @@ -134,6 +134,26 @@ curl -X 'POST' http://127.0.0.1:8000/service/batch_evaluate/response } ``` +3. 上传 + +支持通过API的方式上传本地文件，并支持指定不同的faiss_path，每次发送API请求会返回一个task_id，之后可以通过task_id来查看文件上传状态（processing、completed、failed）。 + +- **（1）上传（upload_local_data）** + +```bash +curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' + +# Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} +``` + +- **（2）查看上传状态（upload_local_data）** + +```bash +curl http://127.0.0.1:8077/service/get_upload_state\?task_id\=2c1e557733764fdb9fefa063538914da + +# Return: {"task_id":"2c1e557733764fdb9fefa063538914da","status":"completed"} +``` + ### 独立脚本文件：不依赖于整体服务的启动，可独立运行 1. 向当前索引存储中插入新文件 diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 8e8192e6..e008a23b 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -1,6 +1,8 @@ from typing import Any -from fastapi import APIRouter, Body, BackgroundTasks +from fastapi import APIRouter, Body, BackgroundTasks, File, UploadFile, Form import uuid +import os +import tempfile from pai_rag.core.rag_service import rag_service from pai_rag.app.api.models import ( RagQuery, @@ -86,3 +88,32 @@ async def batch_evaluate(): type="all" ) return {"status": 200, "result": eval_results} + + +@router.post("/upload_local_data") +async def upload_local_data( + file: UploadFile = File(), + faiss_path: str = Form(), + background_tasks: BackgroundTasks = BackgroundTasks(), +): + task_id = uuid.uuid4().hex + if not file: + return {"message": "No upload file sent"} + else: + fn = file.filename + tmpdir = tempfile.mkdtemp() + save_file = os.path.join(tmpdir, f"{task_id}_{fn}") + with open(save_file, "wb") as f: + data = await file.read() + f.write(data) + f.close() + + background_tasks.add_task( + rag_service.add_knowledge_async, + task_id=task_id, + file_dir=tmpdir, + faiss_path=faiss_path, + enable_qa_extraction=False, + ) + + return {"task_id": task_id} diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 9137bac5..580bdb05 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -40,9 +40,17 @@ async def aload_knowledge(self, file_dir, enable_qa_extraction=False): ) await data_loader.aload(file_dir, enable_qa_extraction) - def load_knowledge(self, file_dir, enable_qa_extraction=False): + def load_knowledge(self, file_dir, faiss_path=None, enable_qa_extraction=False): + sessioned_config = self.config + if faiss_path: + sessioned_config = self.config.copy() + sessioned_config.index.update({"persist_path": faiss_path}) + self.logger.info( + f"Update rag_application config with faiss_persist_path: {faiss_path}" + ) + data_loader = module_registry.get_module_with_config( - "DataLoaderModule", self.config + "DataLoaderModule", sessioned_config ) data_loader.load(file_dir, enable_qa_extraction) diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index dd1f369c..fb46f9f1 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -52,11 +52,15 @@ def reload(self, new_config: Any): self.rag_configuration.persist() def add_knowledge_async( - self, task_id: str, file_dir: str, enable_qa_extraction: bool = False + self, + task_id: str, + file_dir: str, + faiss_path: str = None, + enable_qa_extraction: bool = False, ): self.tasks_status[task_id] = "processing" try: - self.rag.load_knowledge(file_dir, enable_qa_extraction) + self.rag.load_knowledge(file_dir, faiss_path, enable_qa_extraction) self.tasks_status[task_id] = "completed" except Exception as ex: logger.error(f"Upload failed: {ex}") From 1ca838f14dc20ba58ea92d6728dfa4543748a9b1 Mon Sep 17 00:00:00 2001 From: paradiseHIT Date: Wed, 19 Jun 2024 17:20:02 +0800 Subject: [PATCH 08/69] add docker image timezone for China (#68) * add image zone for China * remove unused ENV --------- Co-authored-by: shubao.sx Co-authored-by: Yue Fei --- Dockerfile | 3 +++ 1 file changed, 3 insertions(+) diff --git a/Dockerfile b/Dockerfile index 549a8a2d..9e6c89fa 100644 --- a/Dockerfile +++ b/Dockerfile @@ -13,6 +13,9 @@ COPY . . RUN poetry install && rm -rf $POETRY_CACHE_DIR FROM python:3.10-slim AS prod + +RUN rm -rf /etc/localtime && ln -s /usr/share/zoneinfo/Asia/Harbin /etc/localtime + ENV VIRTUAL_ENV=/app/.venv \ PATH="/app/.venv/bin:$PATH" From 5e4b66735ffee0570434f7e501452913fd2c1e5b Mon Sep 17 00:00:00 2001 From: paradiseHIT Date: Wed, 19 Jun 2024 18:08:23 +0800 Subject: [PATCH 09/69] load data pipeline supports read config (#70) --- src/pai_rag/data/rag_datapipeline.py | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 23787e3b..3029d27e 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -5,19 +5,19 @@ from pai_rag.core.rag_configuration import RagConfiguration from pai_rag.modules.module_registry import module_registry +_BASE_DIR = Path(__file__).parent +DEFAULT_APPLICATION_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") + class RagDataPipeline: def __init__(self, data_loader): self.data_loader = data_loader async def ingest_from_folder(self, folder_path: str, enable_qa_extraction: bool): - await self.data_loader.load(folder_path, enable_qa_extraction) - + await self.data_loader.aload(folder_path, enable_qa_extraction) -def __init_data_pipeline(use_local_qa_model): - base_dir = Path(__file__).parent.parent - config_file = os.path.join(base_dir, "config/settings.toml") +def __init_data_pipeline(config_file, use_local_qa_model): config = RagConfiguration.from_file(config_file).get_value() module_registry.init_modules(config) @@ -26,6 +26,13 @@ def __init_data_pipeline(use_local_qa_model): @click.command() +@click.option( + "-c", + "--config", + show_default=True, + help=f"Configuration file. Default: {DEFAULT_APPLICATION_CONFIG_FILE}", + default=DEFAULT_APPLICATION_CONFIG_FILE, +) @click.option("-d", "--directory", required=True, help="directory path to ingest.") @click.option( "-q", @@ -45,6 +52,6 @@ def __init_data_pipeline(use_local_qa_model): default=False, help="use local qa extraction model.", ) -def run(directory, extract_qa, use_local_qa_model): - data_pipeline = __init_data_pipeline(use_local_qa_model) +def run(config, directory, extract_qa, use_local_qa_model): + data_pipeline = __init_data_pipeline(config, use_local_qa_model) asyncio.run(data_pipeline.ingest_from_folder(directory, extract_qa)) From cdeb9e49df5dcaf9f6d556bf41af628002eb5c20 Mon Sep 17 00:00:00 2001 From: paradiseHIT Date: Thu, 20 Jun 2024 14:44:21 +0800 Subject: [PATCH 10/69] Add gpu docker image timezone for China (#74) --- Dockerfile_gpu | 3 +++ 1 file changed, 3 insertions(+) diff --git a/Dockerfile_gpu b/Dockerfile_gpu index d6313cf0..f897a5de 100644 --- a/Dockerfile_gpu +++ b/Dockerfile_gpu @@ -15,6 +15,9 @@ RUN mv pyproject_gpu.toml pyproject.toml \ RUN poetry install && rm -rf $POETRY_CACHE_DIR FROM python:3.10-slim AS prod + +RUN rm -rf /etc/localtime && ln -s /usr/share/zoneinfo/Asia/Harbin /etc/localtime + ENV VIRTUAL_ENV=/app/.venv \ PATH="/app/.venv/bin:$PATH" From c674f2bdd7c79619a836bc698fe5c663042d9f81 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 20 Jun 2024 15:21:10 +0800 Subject: [PATCH 11/69] Add fast bm25 (#66) * Add fast bm25 * Fix bm25 bug * Fix bug * Fix test --- src/pai_rag/data/rag_dataloader.py | 14 +- src/pai_rag/integrations/retrievers/bm25.py | 63 +--- src/pai_rag/modules/__init__.py | 2 + src/pai_rag/modules/datareader/data_loader.py | 6 +- src/pai_rag/modules/index/bm25_index.py | 29 ++ src/pai_rag/modules/index/index.py | 62 ++-- src/pai_rag/modules/index/pai_bm25_index.py | 330 ++++++++++++++++++ src/pai_rag/modules/module_registry.py | 1 + src/pai_rag/modules/retriever/retriever.py | 19 +- src/pai_rag/utils/store_utils.py | 9 - src/pai_rag/utils/tokenizer.py | 8 +- src/pai_rag/utils/trie.py | 43 +++ tests/core/test_rag_application.py | 7 +- tests/index/test_pai_bm25_index.py | 28 ++ tests/utils/test_trie.py | 32 ++ 15 files changed, 542 insertions(+), 111 deletions(-) create mode 100644 src/pai_rag/modules/index/bm25_index.py create mode 100644 src/pai_rag/modules/index/pai_bm25_index.py create mode 100644 src/pai_rag/utils/trie.py create mode 100644 tests/index/test_pai_bm25_index.py create mode 100644 tests/utils/test_trie.py diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 01246ce1..e8b87a82 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -6,7 +6,6 @@ from llama_index.core.schema import TextNode from llama_index.llms.huggingface import HuggingFaceLLM -from pai_rag.utils.store_utils import store_path from pai_rag.integrations.extractors.html_qa_extractor import HtmlQAExtractor from pai_rag.integrations.extractors.text_qa_extractor import TextQAExtractor from pai_rag.modules.nodeparser.node_parser import node_id_hash @@ -32,6 +31,7 @@ def __init__( datareader_factory, node_parser, index, + bm25_index, oss_cache, use_local_qa_model=False, ): @@ -39,6 +39,7 @@ def __init__( self.node_parser = node_parser self.oss_cache = oss_cache self.index = index + self.bm25_index = bm25_index if use_local_qa_model: # API暂不支持此选项 @@ -48,6 +49,7 @@ def __init__( ) else: self.qa_llm = Settings.llm + html_extractor = HtmlQAExtractor(llm=self.qa_llm) txt_extractor = TextQAExtractor(llm=self.qa_llm) @@ -111,8 +113,13 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): logger.info("[DataReader] Start inserting to index.") - await self.index.insert_nodes_async(nodes) - self.index.storage_context.persist(persist_dir=store_path.persist_path) + await self.index.vector_index.insert_nodes_async(nodes) + self.index.vector_index.storage_context.persist( + persist_dir=self.index.persist_path + ) + + if self.bm25_index: + self.bm25_index.add_docs(nodes) logger.info(f"Inserted {len(nodes)} nodes successfully.") return @@ -121,4 +128,3 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): def load(self, file_directory: str, enable_qa_extraction: bool): loop = asyncio.get_event_loop() loop.run_until_complete(self.aload(file_directory, enable_qa_extraction)) - return diff --git a/src/pai_rag/integrations/retrievers/bm25.py b/src/pai_rag/integrations/retrievers/bm25.py index c2f4c198..74f98933 100644 --- a/src/pai_rag/integrations/retrievers/bm25.py +++ b/src/pai_rag/integrations/retrievers/bm25.py @@ -1,15 +1,13 @@ import logging -from typing import Callable, List, Optional, cast +from typing import List, Optional from llama_index.core.base.base_retriever import BaseRetriever from llama_index.core.callbacks.base import CallbackManager from llama_index.core.constants import DEFAULT_SIMILARITY_TOP_K from llama_index.core.indices.keyword_table.utils import simple_extract_keywords -from llama_index.core.indices.vector_store.base import VectorStoreIndex -from llama_index.core.schema import BaseNode, IndexNode, NodeWithScore, QueryBundle -from llama_index.core.storage.docstore.types import BaseDocumentStore +from llama_index.core.schema import IndexNode, NodeWithScore, QueryBundle from nltk.stem import PorterStemmer -from rank_bm25 import BM25Okapi +from pai_rag.modules.index.pai_bm25_index import PaiBm25Index logger = logging.getLogger(__name__) @@ -25,22 +23,15 @@ def tokenize_remove_stopwords(text: str) -> List[str]: class BM25Retriever(BaseRetriever): def __init__( self, - nodes: List[BaseNode], - tokenizer: Optional[Callable[[str], List[str]]], + bm25_index: PaiBm25Index, similarity_top_k: int = DEFAULT_SIMILARITY_TOP_K, - index: Optional[VectorStoreIndex] = None, callback_manager: Optional[CallbackManager] = None, objects: Optional[List[IndexNode]] = None, object_map: Optional[dict] = None, verbose: bool = False, ) -> None: - self._nodes = nodes - self._index = index - self._tokenizer = tokenizer or tokenize_remove_stopwords self._similarity_top_k = similarity_top_k - self._corpus = [self._tokenizer(node.get_content()) for node in self._nodes] - if self._corpus: - self.bm25 = BM25Okapi(self._corpus) + self.bm25_index = bm25_index super().__init__( callback_manager=callback_manager, object_map=object_map, @@ -51,59 +42,23 @@ def __init__( @classmethod def from_defaults( cls, - index: Optional[VectorStoreIndex] = None, - nodes: Optional[List[BaseNode]] = None, - docstore: Optional[BaseDocumentStore] = None, - tokenizer: Optional[Callable[[str], List[str]]] = None, + bm25_index: PaiBm25Index = None, similarity_top_k: int = DEFAULT_SIMILARITY_TOP_K, verbose: bool = False, ) -> "BM25Retriever": - # ensure only one of index, nodes, or docstore is passed - if sum(bool(val) for val in [index, nodes, docstore]) != 1: - raise ValueError("Please pass exactly one of index, nodes, or docstore.") - - if index is not None: - docstore = index.docstore - - if docstore is not None: - nodes = cast(List[BaseNode], list(docstore.docs.values())) - - assert ( - nodes is not None - ), "Please pass exactly one of index, nodes, or docstore." - - tokenizer = tokenizer or tokenize_remove_stopwords return cls( - nodes=nodes, - index=index, - tokenizer=tokenizer, + bm25_index=bm25_index, similarity_top_k=similarity_top_k, verbose=verbose, ) def _get_scored_nodes(self, query: str) -> List[NodeWithScore]: - tokenized_query = self._tokenizer(query) - doc_scores = self.bm25.get_scores(tokenized_query) - - nodes: List[NodeWithScore] = [] - for i, node in enumerate(self._nodes): - nodes.append(NodeWithScore(node=node, score=float(doc_scores[i]))) - - return nodes + return self.bm25_index.query(query_str=query, top_n=self._similarity_top_k) def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: - if len(self._index.docstore.docs) != len(self._corpus): - self._nodes = cast(List[BaseNode], list(self._index.docstore.docs.values())) - self._corpus = [self._tokenizer(node.get_content()) for node in self._nodes] - if self._corpus: - self.bm25 = BM25Okapi(self._corpus) - - if not self._corpus: + if not query_bundle.query_str: return [] - if query_bundle.custom_embedding_strs or query_bundle.embedding: - logger.warning("BM25Retriever does not support embeddings, skipping...") - scored_nodes = self._get_scored_nodes(query_bundle.query_str) # Sort and get top_k nodes, score range => 0..1, closer to 1 means more relevant diff --git a/src/pai_rag/modules/__init__.py b/src/pai_rag/modules/__init__.py index 3491bb86..6ed43d52 100644 --- a/src/pai_rag/modules/__init__.py +++ b/src/pai_rag/modules/__init__.py @@ -14,6 +14,7 @@ from pai_rag.modules.agent.agent import AgentModule from pai_rag.modules.tool.tool import ToolModule from pai_rag.modules.cache.oss_cache import OssCacheModule +from pai_rag.modules.index.bm25_index import BM25IndexModule ALL_MODULES = [ @@ -33,6 +34,7 @@ "AgentModule", "ToolModule", "OssCacheModule", + "BM25IndexModule", ] __all__ = ALL_MODULES + ["ALL_MODULES"] diff --git a/src/pai_rag/modules/datareader/data_loader.py b/src/pai_rag/modules/datareader/data_loader.py index 5e5e0383..76b41470 100644 --- a/src/pai_rag/modules/datareader/data_loader.py +++ b/src/pai_rag/modules/datareader/data_loader.py @@ -14,6 +14,7 @@ def get_dependencies() -> List[str]: "DataReaderFactoryModule", "NodeParserModule", "IndexModule", + "BM25IndexModule", ] def _create_new_instance(self, new_params: Dict[str, Any]): @@ -21,5 +22,8 @@ def _create_new_instance(self, new_params: Dict[str, Any]): data_reader_factory = new_params["DataReaderFactoryModule"] node_parser = new_params["NodeParserModule"] index = new_params["IndexModule"] + bm25_index = new_params["BM25IndexModule"] - return RagDataLoader(data_reader_factory, node_parser, index, oss_cache) + return RagDataLoader( + data_reader_factory, node_parser, index, bm25_index, oss_cache + ) diff --git a/src/pai_rag/modules/index/bm25_index.py b/src/pai_rag/modules/index/bm25_index.py new file mode 100644 index 00000000..493c96f5 --- /dev/null +++ b/src/pai_rag/modules/index/bm25_index.py @@ -0,0 +1,29 @@ +import logging +from typing import Dict, List, Any + +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.modules.index.pai_bm25_index import PaiBm25Index + + +logger = logging.getLogger(__name__) + + +class BM25IndexModule(ConfigurableModule): + """Class for managing indices. + + RagIndex to manage vector indices for RagApplication. + When initializing, the index is empty or load from existing index. + User can add nodes to index when needed. + """ + + @staticmethod + def get_dependencies() -> List[str]: + return ["IndexModule"] + + def _create_new_instance(self, new_params: Dict[str, Any]): + index = new_params["IndexModule"] + if index.vectordb_type == "elasticsearch": + return None + else: + logger.info("Using BM25 Index.") + return PaiBm25Index(index.persist_path) diff --git a/src/pai_rag/modules/index/index.py b/src/pai_rag/modules/index/index.py index 84e22697..9bb9b2cf 100644 --- a/src/pai_rag/modules/index/index.py +++ b/src/pai_rag/modules/index/index.py @@ -9,7 +9,7 @@ from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.modules.index.store import RagStore from llama_index.vector_stores.faiss import FaissVectorStore -from pai_rag.utils.store_utils import get_store_persist_directory_name, store_path +from pai_rag.utils.store_utils import get_store_persist_directory_name logging.basicConfig( stream=sys.stdout, @@ -20,37 +20,27 @@ DEFAULT_PERSIST_DIR = "./storage" -class IndexModule(ConfigurableModule): - """Class for managing indices. - - RagIndex to manage vector indices for RagApplication. - When initializing, the index is empty or load from existing index. - User can add nodes to index when needed. - """ - - @staticmethod - def get_dependencies() -> List[str]: - return ["EmbeddingModule"] - - def _get_embed_vec_dim(self, embed_model): - # Get dimension size of embedding vector - return len(embed_model._get_text_embedding("test")) - - def _create_new_instance(self, new_params: Dict[str, Any]): - config = new_params[MODULE_PARAM_CONFIG] - embed_model = new_params["EmbeddingModule"] - embed_dims = self._get_embed_vec_dim(embed_model) +class RagIndex: + def __init__(self, config, embed_model): + self.config = config + self.embed_model = embed_model + self.embed_dims = self._get_embed_vec_dim(embed_model) persist_path = config.get("persist_path", DEFAULT_PERSIST_DIR) - folder_name = get_store_persist_directory_name(config, embed_dims) - store_path.persist_path = os.path.join(persist_path, folder_name) - is_empty = not os.path.exists(store_path.persist_path) - rag_store = RagStore(config, store_path.persist_path, is_empty, embed_dims) + folder_name = get_store_persist_directory_name(config, self.embed_dims) + self.persist_path = os.path.join(persist_path, folder_name) + is_empty = not os.path.exists(self.persist_path) + rag_store = RagStore(config, self.persist_path, is_empty, self.embed_dims) storage_context = rag_store.get_storage_context() + self.vectordb_type = config["vector_store"].get("type", "faiss").lower() if is_empty: - return self.create_indices(storage_context, embed_model) + self.vector_index = self.create_indices(storage_context, embed_model) else: - return self.load_indices(storage_context, embed_model) + self.vector_index = self.load_indices(storage_context, embed_model) + + def _get_embed_vec_dim(self, embed_model): + # Get dimension size of embedding vector + return len(embed_model._get_text_embedding("test")) def create_indices(self, storage_context, embed_model): logging.info("Empty index, need to create indices.") @@ -73,3 +63,21 @@ def load_indices(self, storage_context, embed_model): embed_model=embed_model, ) return vector_index + + +class IndexModule(ConfigurableModule): + """Class for managing indices. + + RagIndex to manage vector indices for RagApplication. + When initializing, the index is empty or load from existing index. + User can add nodes to index when needed. + """ + + @staticmethod + def get_dependencies() -> List[str]: + return ["EmbeddingModule"] + + def _create_new_instance(self, new_params: Dict[str, Any]): + config = new_params[MODULE_PARAM_CONFIG] + embed_model = new_params["EmbeddingModule"] + return RagIndex(config, embed_model) diff --git a/src/pai_rag/modules/index/pai_bm25_index.py b/src/pai_rag/modules/index/pai_bm25_index.py new file mode 100644 index 00000000..924f914c --- /dev/null +++ b/src/pai_rag/modules/index/pai_bm25_index.py @@ -0,0 +1,330 @@ +import logging +import os +import pickle +import json +import numpy as np +from typing import Callable, List, cast, Dict +from llama_index.core.schema import BaseNode, TextNode, NodeWithScore +from pai_rag.utils.tokenizer import jieba_tokenizer +import concurrent.futures +from scipy.sparse import csr_matrix + + +logger = logging.getLogger(__name__) + +MAX_DOC_LIMIT = 9000000000 # 9B + +""" +Store structure: +000001.json +000002.json +... +999999.json +""" +DEFAULT_STORE_DIR = "local_bm25_store" + +# PART SIZE +DEFAULT_FILE_PART_DIR = "parts" +DEFAULT_PART_SIZE = 10000 + +""" +Index structure: +{ +doc_count: 0, +doc_len_sum: 0, +inverted_index: [] +} +""" +DEFAULT_INDEX_FILE = "bm25.index.pkl" +DEFAULT_INDEX_MATRIX_FILE = "bm25.index.matrix.pkl" + + +class LocalBm25Index: + def __init__(self): + self.doc_count: int = 0 + self.token_count: int = 0 + self.doc_lens: np.ndarray = np.array([]) + self.doc_token_index: List[Dict[str, int]] = [] + self.inverted_index: List[set[int]] = [] + self.token_map: Dict[str, int] = {} + self.node_id_map: Dict[str, int] = {} + + +class PaiBm25Index: + def __init__( + self, + persist_path: str, + k1: int = 1.5, + b: int = 0.75, + tokenizer: Callable = None, + workers: int = 5, + ): + self.k1 = k1 + self.b = b + + self.persist_path = os.path.join(persist_path, DEFAULT_STORE_DIR) + self.parts_path = os.path.join(self.persist_path, DEFAULT_FILE_PART_DIR) + self.index_file = os.path.join(self.persist_path, DEFAULT_INDEX_FILE) + self.index_matrix_file = os.path.join( + self.persist_path, DEFAULT_INDEX_MATRIX_FILE + ) + + self.workers = workers + + self.tokenizer = tokenizer or jieba_tokenizer + + logger.info("Start loading local BM25 index!") + if os.path.exists(self.parts_path): + with open(self.index_file, "rb") as f: + self.index: LocalBm25Index = pickle.load(f) + with open(self.index_matrix_file, "rb") as f: + self.index_matrix = pickle.load(f) + else: + self.index = LocalBm25Index() + self.index_matrix = None + self.token_map = {} + + logger.info("Finished loading BM25 index!") + + def split_doc(self, text_list: List[str], tokenizer: Callable): + tokens_list = [] + for text in text_list: + tokens = tokenizer(text) + tokens_list.append(tokens) + + logger.info(f"Finished {len(text_list)} docs.") + return tokens_list + + def persist(self, doc_index_list, doc_list): + os.makedirs(self.parts_path, exist_ok=True) + + with open(self.index_file, "wb") as wf: + pickle.dump(self.index, wf) + + with open(self.index_matrix_file, "wb") as wf: + pickle.dump(self.index_matrix, wf) + + doc_idx_map = dict(zip(doc_index_list, doc_list)) + bucket_size = DEFAULT_PART_SIZE + pre_bucket = -1 + current_batch = [] + part_file_name = "default.part" + for i in sorted(doc_idx_map): + bucket = int(i / bucket_size) + if bucket != pre_bucket: + if current_batch: + part_file_name = os.path.join( + self.parts_path, f"{pre_bucket+1:06}.part" + ) + with open(part_file_name, "w") as wf: + wf.write("\n".join(current_batch)) + current_batch = [] + + part_file_name = os.path.join(self.parts_path, f"{bucket+1:06}.part") + if os.path.exists(part_file_name): + current_batch = open(part_file_name, "r").readlines() + current_batch = [line.strip() for line in current_batch] + + pre_bucket = bucket + doc_i = i % bucket_size + + if doc_i < len(current_batch): + current_batch[i % bucket_size] == doc_idx_map[i] + else: + current_batch.append(doc_idx_map[i]) + + if current_batch: + part_file_name = os.path.join(self.parts_path, f"{pre_bucket+1:06}.part") + with open(part_file_name, "w") as wf: + wf.write("\n".join(current_batch)) + logger.info("Write index succeed!") + + def add_docs(self, nodes: List[BaseNode]): + node_index_list = [] + text_list = [] + id_list = [] + metadata_list = [] + + for node in nodes: + if isinstance(node, TextNode): + text_node = cast(TextNode, node) + node_id = text_node.node_id + id_list.append(node_id) + metadata_list.append(text_node.metadata) + text_list.append(text_node.get_content()) + + if node_id not in self.index.node_id_map: + node_index = self.index.doc_count + self.index.doc_count += 1 + self.index.node_id_map[node_id] = node_index + node_index_list.append(self.index.node_id_map[node_id]) + + else: + # don't handle image or graph node + pass + pad_size = self.index.doc_count - len(self.index.doc_lens) + self.index.doc_lens = np.lib.pad( + self.index.doc_lens, (0, pad_size), "constant", constant_values=(0) + ) + + chunk_size = 100000 + start_pos = 0 + if len(text_list) < 2 * chunk_size: + tokens_list = self.split_doc(text_list, self.tokenizer) + self.process_token_list(tokens_list, id_list) + else: + with concurrent.futures.ProcessPoolExecutor( + max_workers=self.workers + ) as executor: + futures = [] + future2startpos = {} + while start_pos < len(text_list): + fut = executor.submit( + self.split_doc, + text_list[start_pos : start_pos + chunk_size], + self.tokenizer, + ) + futures.append(fut) + future2startpos[fut] = start_pos + start_pos += chunk_size + + i = 0 + for fut in concurrent.futures.as_completed(futures): + start_pos = future2startpos[fut] + i += 1 + tokens_list = fut.result() + batch_id_list = id_list[start_pos : start_pos + chunk_size] + self.process_token_list(tokens_list, batch_id_list) + + self.construct_index_matrix() + + doc_list = [ + json.dumps( + {"id": id_list[i], "text": text_list[i], "metadata": metadata_list[i]}, + ensure_ascii=False, + ) + for i in range(len(text_list)) + ] + self.persist(node_index_list, doc_list) + + logger.info("Successfully write to BM25 index.") + return + + def construct_index_matrix(self): + # m * n matrix + m = self.index.doc_count + n = self.index.token_count + + df = np.array([len(i) for i in self.index.inverted_index]) + idf = np.log(1 + (m - df + 0.5) / (df + 0.5)) + + avg_dl = np.average(self.index.doc_lens) + dl_factor = self.k1 * (1 - self.b + self.b * (self.index.doc_lens) / avg_dl) + + rows = [] + cols = [] + data = [] + for i, doc_token_set in enumerate(self.index.doc_token_index): + for token in doc_token_set: + rows.append(i) + cols.append(token) + tf = doc_token_set[token] + v = idf[token] * tf * (self.k1 + 1) / (tf + dl_factor[i]) + data.append(v) + + self.index_matrix = csr_matrix((data, (rows, cols)), shape=(m, n)) + + def load_batch_from_part_file(self, batch_ids, part_id): + nodes = [] + part_file_name = os.path.join(self.parts_path, f"{part_id+1:06}.part") + with open(part_file_name, "r") as part_file: + lines = part_file.readlines() + for index in batch_ids: + index = index % DEFAULT_PART_SIZE + raw_text = lines[index] + json_data = json.loads(raw_text) + nodes.append( + TextNode( + id_=json_data["id"], + text=json_data["text"], + metadata=json_data["metadata"], + ) + ) + return nodes + + def load_docs_with_index(self, doc_indexes): + results = [] + if len(doc_indexes) == 0: + return results + + index2nodes = {} + node_indexes = doc_indexes.copy() + node_indexes.sort() + bucket_size = DEFAULT_PART_SIZE + batch_ids = [] + pre_bucket = -1 + for i in doc_indexes: + bucket = int(i / bucket_size) + if bucket != pre_bucket: + if batch_ids: + batch_nodes = self.load_batch_from_part_file(batch_ids, bucket) + index2nodes.update(zip(batch_ids, batch_nodes)) + batch_ids = [] + pre_bucket = bucket + batch_ids.append(i) + + if batch_ids: + batch_nodes = self.load_batch_from_part_file(batch_ids, bucket) + index2nodes.update(zip(batch_ids, batch_nodes)) + + return [index2nodes[i] for i in doc_indexes] + + def query(self, query_str: str, top_n: int = 5) -> List[NodeWithScore]: + results = [] + if self.index_matrix is None: + return results + + tokens = self.tokenizer(query_str) + query_vec = np.zeros(self.index.token_count) + for token in tokens: + if token in self.index.token_map: + query_vec[self.index.token_map[token]] += 1 + + doc_scores = self.index_matrix.multiply(query_vec).sum(axis=1).getA1() + doc_indexes = doc_scores.argsort()[::-1][:top_n] + text_nodes = self.load_docs_with_index(doc_indexes) + for i, node in enumerate(text_nodes): + results.append(NodeWithScore(node=node, score=doc_scores[doc_indexes[i]])) + + return results + + def process_token_list(self, tokens_list, ids_list): + for i, tokens in enumerate(tokens_list): + token_index_set = {} + for token in tokens: + if token not in self.index.token_map: + self.index.token_map[token] = self.index.token_count + self.index.token_count += 1 + self.index.inverted_index.append(set()) + + if self.index.token_map[token] not in token_index_set: + token_index_set[self.index.token_map[token]] = 0 + token_index_set[self.index.token_map[token]] += 1 + + doc_i = self.index.node_id_map[ids_list[i]] + self.index.doc_lens[doc_i] = len(tokens) + + # 重复 + if doc_i < len(self.index.doc_token_index): + token_index_diff = set(self.index.doc_token_index[doc_i].keys()) - set( + token_index_set.keys() + ) + for token_i in token_index_diff: + self.index.inverted_index[token_i].discard(doc_i) + + self.index.doc_token_index[doc_i] = token_index_set + else: + self.index.doc_token_index.append(token_index_set) + + for token_i in token_index_set: + self.index.inverted_index[token_i].add(doc_i) diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index cc2dca46..6d6c673b 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -21,6 +21,7 @@ "ToolModule": "tool", "DataLoaderModule": "data_loader", "OssCacheModule": "cache", + "BM25IndexModule": "bm25", } diff --git a/src/pai_rag/modules/retriever/retriever.py b/src/pai_rag/modules/retriever/retriever.py index d65b4a33..2c9193c1 100644 --- a/src/pai_rag/modules/retriever/retriever.py +++ b/src/pai_rag/modules/retriever/retriever.py @@ -10,12 +10,10 @@ from llama_index.core.retrievers import RouterRetriever from llama_index.core.vector_stores.types import VectorStoreQueryMode -from pai_rag.utils.tokenizer import jieba_tokenizer from pai_rag.integrations.retrievers.bm25 import BM25Retriever from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.utils.prompt_template import QUERY_GEN_PROMPT -from pai_rag.modules.retriever.my_elasticsearch_store import MyElasticsearchStore from pai_rag.modules.retriever.my_vector_index_retriever import MyVectorIndexRetriever logger = logging.getLogger(__name__) @@ -24,18 +22,19 @@ class RetrieverModule(ConfigurableModule): @staticmethod def get_dependencies() -> List[str]: - return ["IndexModule"] + return ["IndexModule", "BM25IndexModule"] def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] - vector_index = new_params["IndexModule"] + index = new_params["IndexModule"] + bm25_index = new_params["BM25IndexModule"] similarity_top_k = config.get("similarity_top_k", 5) retrieval_mode = config.get("retrieval_mode", "hybrid").lower() # Special handle elastic search - if isinstance(vector_index.storage_context.vector_store, MyElasticsearchStore): + if index.vectordb_type == "elasticsearch": if retrieval_mode == "embedding": query_mode = VectorStoreQueryMode.DEFAULT elif retrieval_mode == "keyword": @@ -44,19 +43,19 @@ def _create_new_instance(self, new_params: Dict[str, Any]): query_mode = VectorStoreQueryMode.HYBRID return MyVectorIndexRetriever( - index=vector_index, + index=index.vector_index, similarity_top_k=similarity_top_k, vector_store_query_mode=query_mode, ) vector_retriever = MyVectorIndexRetriever( - index=vector_index, similarity_top_k=similarity_top_k + index=index.vector_index, similarity_top_k=similarity_top_k ) + # keyword bm25_retriever = BM25Retriever.from_defaults( - index=vector_index, + bm25_index=bm25_index, similarity_top_k=similarity_top_k, - tokenizer=jieba_tokenizer, ) if retrieval_mode == "embedding": @@ -89,7 +88,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): return fusion_retriever elif config["retrieval_mode"] == "router": - nodes = list(vector_index.docstore.docs.values()) + nodes = list(index.vector_index.docstore.docs.values()) summary_index = SummaryIndex(nodes) list_retriever = summary_index.as_retriever( retriever_mode="embedding", similarity_top_k=10 diff --git a/src/pai_rag/utils/store_utils.py b/src/pai_rag/utils/store_utils.py index 0873375c..6cf79457 100644 --- a/src/pai_rag/utils/store_utils.py +++ b/src/pai_rag/utils/store_utils.py @@ -1,7 +1,6 @@ import hashlib import json import os -from dataclasses import dataclass def get_store_persist_directory_name(storage_config, ndims): @@ -61,11 +60,3 @@ def read_chat_store_state(persist_dir, file_path): return json.load(file) except Exception: return None # 如果文件不存在/json不合法，则返回None - - -@dataclass -class StorePath: - persist_path: str = "./store" # 知识库数据保存地址 - - -store_path = StorePath() diff --git a/src/pai_rag/utils/tokenizer.py b/src/pai_rag/utils/tokenizer.py index 168702b9..076c76fb 100644 --- a/src/pai_rag/utils/tokenizer.py +++ b/src/pai_rag/utils/tokenizer.py @@ -1,8 +1,14 @@ import jieba from nltk.corpus import stopwords from typing import List +from pai_rag.utils.trie import TrieTree +import string + +CHINESE_PUNKTUATION = "＂＃＄％＆＇（）＊＋，－／：；＜＝＞＠［＼］＾＿｀｛｜｝～｟｠｢｣､\u3000、〃〈〉《》「」『』【】〔〕〖〗〘〙〚〛〜〝〞〟〰〾〿–—‘’‛“”„‟…‧﹏﹑﹔·．！？｡。" stopword_list = stopwords.words("chinese") + stopwords.words("english") +stopword_list += [" "] + list(string.punctuation) + list(CHINESE_PUNKTUATION) +stop_trie = TrieTree(stopword_list) ## PUT in utils file and add stopword in TRIE structure. @@ -10,7 +16,7 @@ def jieba_tokenizer(text: str) -> List[str]: tokens = [] for w in jieba.lcut(text): token = w.lower() - if token not in stopword_list: + if not stop_trie.match(token): tokens.append(token) return tokens diff --git a/src/pai_rag/utils/trie.py b/src/pai_rag/utils/trie.py new file mode 100644 index 00000000..caa2eb44 --- /dev/null +++ b/src/pai_rag/utils/trie.py @@ -0,0 +1,43 @@ +from typing import Dict + + +class TrieNode: + def __init__(self, char, is_word=False): + self.char: str = char + self.is_word: bool = is_word + self.children: Dict[str, TrieNode] = {} + + +class TrieTree: + def __init__(self, word_list): + self.root = TrieNode("###") + + self.build_tree(word_list) + + def build_tree(self, word_list): + for word in word_list: + current_node = self.root + for w in word: + if w not in current_node.children: + current_node.children[w] = TrieNode(w) + current_node = current_node.children[w] + current_node.is_word = True + + def match(self, word): + current_node = self.root + for w in word: + if w not in current_node.children: + return False + current_node = current_node.children[w] + + return current_node.is_word + + +if __name__ == "__main__": + tree = TrieTree(["abc", "Her", "She", "He", "Hereby"]) + assert tree.match("Her") + assert tree.match("Hereby") + assert tree.match("She") + assert tree.match("abc") + assert tree.match("He") + assert not tree.match("Here") diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index 83006385..b0fb0b5d 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -24,14 +24,11 @@ def rag_app(): rag_app = RagApplication() rag_app.initialize(config) - return rag_app - - -# Test load knowledge file -def test_add_knowledge_file(rag_app: RagApplication): data_dir = os.path.join(BASE_DIR, "tests/testdata/paul_graham") rag_app.load_knowledge(data_dir) + return rag_app + # Test rag query async def test_query(rag_app: RagApplication): diff --git a/tests/index/test_pai_bm25_index.py b/tests/index/test_pai_bm25_index.py new file mode 100644 index 00000000..da482076 --- /dev/null +++ b/tests/index/test_pai_bm25_index.py @@ -0,0 +1,28 @@ +from pai_rag.modules.index.pai_bm25_index import PaiBm25Index +from llama_index.core.schema import TextNode + +texts = [ + "人工智能平台PAI是面向开发者和企业的云原生机器学习/深度学习工程平台，服务覆盖AI开发全链路，内置140+种优化算法，具备丰富的行业场景插件。", + "面向大规模深度学习及融合智算场景的PaaS平台产品，支持公共云Serverless版、单租版以及混合云产品形态，一站式提供AI工程化全流程平台及软硬一体联合优化的异构融合算力。", + "公共云Serverless版: Serverless平台产品，一键快速拉起AI计算任务，复杂异构系统自动运维，轻松管理。与云上的计算、存储、网络等各类产品无缝衔接。", + "公共云单租版:云上建立客户专属集群，单个客户独享一套AI平台和运维服务。便捷运营管理，云产品互通，使用云上标准的计算、存储、网络服务。", + "飞天混合云版:支持混合云标准架构，提供完整的计算、网络、存储、账号(ASCM)，标准SDK/OpenAPI，物理资源独立部署，支持服务商基于客户场景构建业务。", + "模型开发: 在模型开发阶段，可通过PAI-Designer、PAI-DSW、PAI-QuickStart 三款工具来完成建模。", + "模型训练: 在模型训练阶段，可通过PAI-DLC发起大规模的分布式训练任务；按照使用场景和算力类别，可以分为使用灵骏智算支持大模型的训练任务，和使用阿里云通用算力节点支持通用的训练任务。", + "模型部署: 在模型部署阶段，PAI-EAS提供在线预测服务，PAI-Blade提供推理优化服务。", +] + + +def test_bm25(): + persist_path = "./tmp/bm25_test" + + bm25 = PaiBm25Index(persist_path) + + nodes = [TextNode(id_=i, text=text) for i, text in enumerate(texts)] + bm25.add_docs(nodes) + + nodes_with_score = bm25.query("模型开发") + assert nodes_with_score[0].node.get_content() == texts[5] + + nodes_with_score = bm25.query("模型训练") + assert nodes_with_score[0].node.get_content() == texts[6] diff --git a/tests/utils/test_trie.py b/tests/utils/test_trie.py new file mode 100644 index 00000000..7f686fd6 --- /dev/null +++ b/tests/utils/test_trie.py @@ -0,0 +1,32 @@ +from pai_rag.utils.trie import TrieTree + + +def test_trietree(): + word_list = ["Water", "What", "Watt", "Wow", "Go", "Goose", "Way"] + tree = TrieTree(word_list) + + for w in word_list: + assert tree.match(w) + + for no_w in ["Wa", "W", "what", "water", "Goos", "G"]: + assert not tree.match(no_w) + + +def test_trietree_special_characters(): + word_list = [ + "Water", + "What", + "Watt", + "Wow", + "Go", + "Goose", + "Way", + "，", + "！", + "!", + "&&", + ] + tree = TrieTree(word_list) + + for w in word_list: + assert tree.match(w) From 7e98945eb19774c628326c65de39fc97e7f327ae Mon Sep 17 00:00:00 2001 From: paradiseHIT Date: Fri, 21 Jun 2024 16:39:15 +0800 Subject: [PATCH 12/69] Update readme and configuration (#77) * fix demo.toml typo, and add comments for settings.toml for embedding * update readme, add load data --- README.md | 18 ++++++++++++++---- src/pai_rag/config/settings.toml | 19 ++++++++++++++----- 2 files changed, 28 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 46d1934e..2fdd8202 100644 --- a/README.md +++ b/README.md @@ -4,13 +4,15 @@ ## Get Started -### Step1: Clone Repo +### 本地启动 + +#### Step1: Clone Repo ```bash git clone git@github.com:aigc-apps/PAI-RAG.git ``` -### Step2: 配置环境 +#### Step2: 配置环境 本项目使用poetry进行管理，建议在安装环境之前先创建一个空环境。为了确保环境一致性并避免因Python版本差异造成的问题，我们指定Python版本为3.10。 @@ -26,13 +28,21 @@ pip install poetry poetry install ``` -### Step3: 启动程序 +#### Step3：加载数据 + +向当前索引存储中插入directory_path目录下的新文件 + +```bash +load_data -c src/pai_rag/config/settings.yaml -d directory_path +``` + +#### Step4: 启动程序 使用OpenAI API，需要在命令行引入环境变量 export OPENAI_API_KEY="" 使用DashScope API，需要在命令行引入环境变量 export DASHSCOPE_API_KEY="" ```bash -# 启动，支持自定义host(默认0.0.0.0), port(默认8000), config(默认config/demo.yaml) +# 启动，支持自定义host(默认0.0.0.0), port(默认8000), config(默认src/pai_rag/config/settings.yaml) pai_rag run [--host HOST] [--port PORT] [--config CONFIG_FILE] ``` diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml index 93f12446..b80f753e 100644 --- a/src/pai_rag/config/settings.toml +++ b/src/pai_rag/config/settings.toml @@ -19,9 +19,14 @@ persist_path = "localdata/storage" [rag.data_reader] type = "SimpleDirectoryReader" +# embedding configurations, source support API: OpenAI,DashScope; and local model:HuggingFace +# if use API, need set OPENAI_API_KEY or DASHSCOPE_API_KEY in ENV, If HuggingFace, need set model_name +# eg. +# source = "HuggingFace" +# model_name = "bge-small-zh-v1.5" +# embed_batch_size = 10 [rag.embedding] -source = "HuggingFace" -model_name = "bge-small-zh-v1.5" +source = "DashScope" embed_batch_size = 10 [rag.evaluation] @@ -33,10 +38,14 @@ response = ["Faithfulness", "Answer Relevancy", "Guideline Adherence", "Correctn persist_path = "localdata/storage" vector_store.type = "FAISS" +# llm configurations, source support API: OpenAI,DashScope or PAI-EAS's deployment +# eg. +# source = "PaiEas" +# endpoint = "" +# token = "" [rag.llm] -source = "PaiEas" -endpoint = "" -token = "" +source = "DashScope" +name = "qwen-turbo" [rag.llm_chat_engine] type = "SimpleChatEngine" From 7c2467ea6a8e6c3ab4c0554aad1fb0c33193ec71 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Sat, 22 Jun 2024 00:55:14 +0800 Subject: [PATCH 13/69] Update docker.yml --- .github/workflows/docker.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index d45cb254..e2e5e756 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -3,6 +3,7 @@ name: Create and publish a Docker image # Configures this workflow to run every time a change is pushed to the branch called `release`. on: + workflow_dispatch: push: branches: ["feature"] From 9e68ac65c1fef30fc6df965dae7921110be2edf9 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 24 Jun 2024 15:56:53 +0800 Subject: [PATCH 14/69] Enable multiple workers to improve perf (#75) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add fast bm25 * Update * Fix bug * Fix bm25 bug * Fix bug * Refine code * Update multi-process * Add API to support upload local files (#67) * support upload file via API * add Readme for upload API * refactor query api * modify load_knowledge with session_config * use tempfile.mkdtemp() to store upload files * add docker image timezone for China (#68) * add image zone for China * remove unused ENV --------- Co-authored-by: shubao.sx Co-authored-by: Yue Fei * load data pipeline supports read config (#70) * Add gpu docker image timezone for China (#74) * Add fast bm25 (#66) * Add fast bm25 * Fix bm25 bug * Fix bug * Fix test * Update dockerfile * Fix bug * Update * Update docker file * Fix empty file bug * Fix local index error * Fix lint * Decouple gradio and backend * Add ui build * Add gunicorn * Fix gunicorn * Update nginx * add nginx image * Fix deployment issue * Fix upload --------- Co-authored-by: 筱文 Co-authored-by: paradiseHIT Co-authored-by: shubao.sx --- .github/workflows/docker.yml | 18 + .gitignore | 1 + Dockerfile | 2 +- Dockerfile_gpu | 2 +- Dockerfile_nginx | 3 + Dockerfile_ui | 27 + README.md | 23 +- nginx/default.conf | 67 + nginx/nginx.conf | 33 + poetry.lock | 1340 ++++++++++++----- pyproject.toml | 2 + pyproject_gpu.toml | 2 + scripts/locust.py | 46 + src/pai_rag/app/api/query.py | 7 +- src/pai_rag/app/{app.py => api/service.py} | 16 +- src/pai_rag/app/web/rag_client.py | 46 +- src/pai_rag/app/web/tabs/chat_tab.py | 7 +- src/pai_rag/app/web/tabs/settings_tab.py | 22 +- src/pai_rag/app/web/tabs/upload_tab.py | 9 +- src/pai_rag/app/web/tabs/vector_db_panel.py | 19 +- src/pai_rag/app/web/view_model.py | 175 ++- src/pai_rag/app/web/webui.py | 19 +- src/pai_rag/core/rag_application.py | 10 +- src/pai_rag/core/rag_configuration.py | 21 + src/pai_rag/core/rag_service.py | 77 +- src/pai_rag/data/rag_dataloader.py | 7 + src/pai_rag/integrations/llms/paieas/base.py | 57 +- src/pai_rag/main.py | 85 +- src/pai_rag/modules/index/index.py | 32 +- src/pai_rag/modules/index/index_daemon.py | 64 + src/pai_rag/modules/index/index_entry.py | 25 + src/pai_rag/modules/index/pai_bm25_index.py | 40 +- src/pai_rag/modules/llm/llm_module.py | 6 +- src/pai_rag/modules/llm/my_dashscope.py | 365 +++++ src/pai_rag/modules/module_registry.py | 30 +- .../modules/postprocessor/postprocessor.py | 4 +- .../queryengine/my_retriever_query_engine.py | 33 +- 37 files changed, 2140 insertions(+), 602 deletions(-) create mode 100644 Dockerfile_nginx create mode 100644 Dockerfile_ui create mode 100644 nginx/default.conf create mode 100644 nginx/nginx.conf create mode 100644 scripts/locust.py rename src/pai_rag/app/{app.py => api/service.py} (52%) create mode 100644 src/pai_rag/modules/index/index_daemon.py create mode 100644 src/pai_rag/modules/index/index_entry.py create mode 100644 src/pai_rag/modules/llm/my_dashscope.py diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index e2e5e756..6ef954d7 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -52,3 +52,21 @@ jobs: docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG + + - name: Build and push UI image + env: + IMAGE_TAG: 0.0.2_ui + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_ui . + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG + docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG + docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG + + - name: Build and push nginx image + env: + IMAGE_TAG: 0.0.2_nginx + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_nginx . + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG + docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG + docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG diff --git a/.gitignore b/.gitignore index 9f942b55..ea18b748 100644 --- a/.gitignore +++ b/.gitignore @@ -222,3 +222,4 @@ output *.local.toml localdata/ +*.tmp diff --git a/Dockerfile b/Dockerfile index 9e6c89fa..f86927c7 100644 --- a/Dockerfile +++ b/Dockerfile @@ -24,4 +24,4 @@ RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 WORKDIR /app COPY . . COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV} -ENTRYPOINT ["pai_rag", "run"] +CMD ["pai_rag", "run"] diff --git a/Dockerfile_gpu b/Dockerfile_gpu index f897a5de..7388fa4b 100644 --- a/Dockerfile_gpu +++ b/Dockerfile_gpu @@ -26,4 +26,4 @@ RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 WORKDIR /app COPY . . COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV} -ENTRYPOINT ["pai_rag", "run"] +CMD ["pai_rag", "run"] diff --git a/Dockerfile_nginx b/Dockerfile_nginx new file mode 100644 index 00000000..a9cdd81a --- /dev/null +++ b/Dockerfile_nginx @@ -0,0 +1,3 @@ +FROM nginx:latest +COPY ./nginx/default.conf etc/nginx/conf.d/default.conf +COPY ./nginx/nginx.conf etc/nginx/nginx.conf diff --git a/Dockerfile_ui b/Dockerfile_ui new file mode 100644 index 00000000..a2509356 --- /dev/null +++ b/Dockerfile_ui @@ -0,0 +1,27 @@ +FROM python:3.10-slim AS builder + +RUN pip3 install poetry + +ENV POETRY_NO_INTERACTION=1 \ + POETRY_VIRTUALENVS_IN_PROJECT=1 \ + POETRY_VIRTUALENVS_CREATE=1 \ + POETRY_CACHE_DIR=/tmp/poetry_cache + +WORKDIR /app +COPY . . + +RUN poetry install && rm -rf $POETRY_CACHE_DIR + +FROM python:3.10-slim AS prod + +RUN rm -rf /etc/localtime && ln -s /usr/share/zoneinfo/Asia/Harbin /etc/localtime + +ENV VIRTUAL_ENV=/app/.venv \ + PATH="/app/.venv/bin:$PATH" + +RUN apt-get update && apt-get install -y libgl1 libglib2.0-0 + +WORKDIR /app +COPY . . +COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV} +CMD ["pai_rag", "ui"] diff --git a/README.md b/README.md index 2fdd8202..163d1530 100644 --- a/README.md +++ b/README.md @@ -36,19 +36,19 @@ poetry install load_data -c src/pai_rag/config/settings.yaml -d directory_path ``` -#### Step4: 启动程序 +#### Step4: 启动RAG服务 使用OpenAI API，需要在命令行引入环境变量 export OPENAI_API_KEY="" 使用DashScope API，需要在命令行引入环境变量 export DASHSCOPE_API_KEY="" ```bash -# 启动，支持自定义host(默认0.0.0.0), port(默认8000), config(默认src/pai_rag/config/settings.yaml) -pai_rag run [--host HOST] [--port PORT] [--config CONFIG_FILE] +# 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml) +pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] ``` -现在你可以使用命令行向服务侧发送API请求，或者直接打开http://localhost:8000 +你可以使用命令行向服务侧发送API请求。比如调用[Upload API](#upload-api)上传知识库文件。 -1. 对话 +##### Query API - **Rag Query请求** @@ -77,7 +77,7 @@ curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"今年是2024年，10年前是哪一年？"}' ``` -2. 评估 +##### Evaluation API 支持三种评估模式：全链路评估、检索效果评估、生成效果评估。 @@ -144,7 +144,7 @@ curl -X 'POST' http://127.0.0.1:8000/service/batch_evaluate/response } ``` -3. 上传 +##### Upload API 支持通过API的方式上传本地文件，并支持指定不同的faiss_path，每次发送API请求会返回一个task_id，之后可以通过task_id来查看文件上传状态（processing、completed、failed）。 @@ -164,6 +164,15 @@ curl http://127.0.0.1:8077/service/get_upload_state\?task_id\=2c1e557733764fdb9f # Return: {"task_id":"2c1e557733764fdb9fefa063538914da","status":"completed"} ``` +### RAG WEB UI + +```bash +# 启动，支持自定义host(默认0.0.0.0), port(默认8002), config(默认localhost:8001) +pai_rag ui [--host HOST] [--port PORT] [rag-url RAG_URL] +``` + +你也可以打开http://127.0.0.1:8002/ 来配置RAG服务以及上传本地数据。 + ### 独立脚本文件：不依赖于整体服务的启动，可独立运行 1. 向当前索引存储中插入新文件 diff --git a/nginx/default.conf b/nginx/default.conf new file mode 100644 index 00000000..81c6a98d --- /dev/null +++ b/nginx/default.conf @@ -0,0 +1,67 @@ + +server { + listen 8000; + listen [::]:8000; + server_name localhost; + client_max_body_size 50m; + + #access_log /var/log/nginx/host.access.log main; + + location / { + proxy_set_header Host \$host; + proxy_set_header X-Forwarded-For \$proxy_add_x_forwarded_for; + proxy_pass http://127.0.0.1:8002; + } + + #Websocket configuration + location /queue/ { + proxy_pass http://127.0.0.1:8002/queue/; + proxy_http_version 1.1; + proxy_set_header Upgrade $http_upgrade; + proxy_set_header Connection "upgrade"; + } + + location /service { + proxy_set_header Host \$host; + proxy_set_header X-Forwarded-For \$proxy_add_x_forwarded_for; + proxy_pass http://127.0.0.1:8001; + } + + location /docs { + proxy_set_header Host \$host; + proxy_set_header X-Forwarded-For \$proxy_add_x_forwarded_for; + proxy_pass http://127.0.0.1:8001; + } + + #error_page 404 /404.html; + + # redirect server error pages to the static page /50x.html + # + error_page 500 502 503 504 /50x.html; + location = /50x.html { + root /usr/share/nginx/html; + } + + # proxy the PHP scripts to Apache listening on 127.0.0.1:80 + # + #location ~ \.php$ { + # proxy_pass http://127.0.0.1; + #} + + # pass the PHP scripts to FastCGI server listening on 127.0.0.1:9000 + # + #location ~ \.php$ { + # root html; + # fastcgi_pass 127.0.0.1:9000; + # fastcgi_index index.php; + # fastcgi_param SCRIPT_FILENAME /scripts$fastcgi_script_name; + # include fastcgi_params; + #} + + # deny access to .htaccess files, if Apache's document root + # concurs with nginx's one + # + #location ~ /\.ht { + # deny all; + #} +} diff --git a/nginx/nginx.conf b/nginx/nginx.conf new file mode 100644 index 00000000..40aafb56 --- /dev/null +++ b/nginx/nginx.conf @@ -0,0 +1,33 @@ + +user nginx; +daemon off; +worker_processes auto; + +error_log /var/log/nginx/error.log notice; +pid /var/run/nginx.pid; + + +events { + worker_connections 1024; +} + + +http { + include /etc/nginx/mime.types; + default_type application/octet-stream; + + log_format main '$remote_addr - $remote_user [$time_local] "$request" ' + '$status $body_bytes_sent "$http_referer" ' + '"$http_user_agent" "$http_x_forwarded_for"'; + + access_log /var/log/nginx/access.log main; + + sendfile on; + #tcp_nopush on; + + keepalive_timeout 65; + + #gzip on; + + include /etc/nginx/conf.d/*.conf; +} diff --git a/poetry.lock b/poetry.lock index b16f163b..13076b5e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. 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b/pyproject_gpu.toml @@ -64,6 +64,8 @@ pytest-cov = "^5.0.0" xlrd = "^2.0.1" markdown = "^3.6" chardet = "^5.2.0" +locust = "^2.29.0" +gunicorn = "^22.0.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/scripts/locust.py b/scripts/locust.py new file mode 100644 index 00000000..c998f641 --- /dev/null +++ b/scripts/locust.py @@ -0,0 +1,46 @@ +from locust import HttpUser, task, between +from random import randint + +auth_header = {"Authorization": ""} + +sample_queries = [ + "找一部关于下雪的电影。", + "找一部适合下雨天看的电影。", + "心情不好的时候看什么电影？", + "无聊的时候想看什么电影", + "压力很大的时候看的电影", + "好看的中文警匪片", + "校园爱情电影", + "金庸小说改编的古装武打剧", + "好看的仙侠剧", + "搞笑的电影", + "评分高的的动画片", +] + + +class SimpleRagUser(HttpUser): + wait_time = between(0, 1) + + @task + def qa(self): + q_i = randint(0, len(sample_queries) - 1) + query = sample_queries[q_i] + + _ = self.client.post( + "/service/query", headers=auth_header, json={"question": query} + ) + # sprint(response.content.decode("utf-8")) + + +class SimpleRetrievalUser(HttpUser): + wait_time = between(0, 1) + + @task + def qa(self): + q_i = randint(0, len(sample_queries) - 1) + query = sample_queries[q_i] + + _ = self.client.post( + "/service/query/retrieval", headers=auth_header, json={"question": query} + ) + # print(response.content.decode("utf-8")) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index e008a23b..d2efa073 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -42,6 +42,11 @@ async def aupdate(new_config: Any = Body(None)): return {"msg": "Update RAG configuration successfully."} +@router.get("/config") +async def aconfig(): + return rag_service.get_config() + + @router.post("/upload_data") def load_data(input: DataInput, background_tasks: BackgroundTasks): task_id = uuid.uuid4().hex @@ -93,7 +98,7 @@ async def batch_evaluate(): @router.post("/upload_local_data") async def upload_local_data( file: UploadFile = File(), - faiss_path: str = Form(), + faiss_path: str = Form(None), background_tasks: BackgroundTasks = BackgroundTasks(), ): task_id = uuid.uuid4().hex diff --git a/src/pai_rag/app/app.py b/src/pai_rag/app/api/service.py similarity index 52% rename from src/pai_rag/app/app.py rename to src/pai_rag/app/api/service.py index 4db4797e..73b7d630 100644 --- a/src/pai_rag/app/app.py +++ b/src/pai_rag/app/api/service.py @@ -1,12 +1,7 @@ from fastapi import APIRouter, FastAPI -import gradio as gr from pai_rag.core.rag_service import rag_service from pai_rag.app.api import query from pai_rag.app.api.middleware import init_middleware -from pai_rag.app.web.webui import create_ui -from pai_rag.app.web.rag_client import rag_client - -UI_PATH = "" def init_router(app: FastAPI): @@ -15,16 +10,7 @@ def init_router(app: FastAPI): app.include_router(api_router, prefix="/service") -def create_app(config_file: str, app_url: str): +def configure_app(app: FastAPI, config_file: str): rag_service.initialize(config_file) - - app = FastAPI() init_middleware(app) init_router(app) - - rag_client.set_endpoint(app_url) - ui = create_ui() - ui.queue(concurrency_count=1, max_size=64) - ui._queue.set_url(app_url) - app = gr.mount_gradio_app(app, ui, path=UI_PATH) - return app diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index ed2aa3e1..d1681c94 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -1,12 +1,12 @@ import json - from typing import Any import requests import html import markdown import httpx - -cache_config = None +import os +import mimetypes +from pai_rag.app.web.view_model import ViewModel class dotdict(dict): @@ -42,7 +42,7 @@ def config_url(self): @property def load_data_url(self): - return f"{self.endpoint}service/upload_data" + return f"{self.endpoint}service/upload_local_data" @property def get_load_state_url(self): @@ -89,9 +89,19 @@ def query_vector(self, text: str): response["answer"] = formatted_text return response - def add_knowledge(self, file_dir: str, enable_qa_extraction: bool): - q = dict(file_path=file_dir, enable_qa_extraction=enable_qa_extraction) - r = requests.post(self.load_data_url, json=q) + def add_knowledge(self, file_name: str, enable_qa_extraction: bool): + with open(file_name, "rb") as file_obj: + mimetype = mimetypes.guess_type(file_name)[0] + # maybe we can upload multiple files in the future + files = {"file": (os.path.basename(file_name), file_obj, mimetype)} + print(files) + # headers = {"content-type": "multipart/form-data"} + + r = requests.post( + self.load_data_url, + files=files, + # headers=headers, + ) r.raise_for_status() response = dotdict(json.loads(r.text)) return response @@ -103,18 +113,22 @@ async def get_knowledge_state(self, task_id: str): response = dotdict(json.loads(r.text)) return response - def reload_config(self, config: Any): - global cache_config + def patch_config(self, update_dict: Any): + config = self.get_config() + view_model: ViewModel = ViewModel.from_app_config(config) + view_model.update(update_dict) + new_config = view_model.to_app_config() - if cache_config == config: - return - - r = requests.patch(self.config_url, json=config) + r = requests.patch(self.config_url, json=new_config) r.raise_for_status() - print(r.text) - cache_config = config - return + def get_config(self): + r = requests.get(self.config_url) + r.raise_for_status() + response = dotdict(json.loads(r.text)) + print(response) + return response + rag_client = RagWebClient() diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index 8bb7998b..bbc9b184 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -1,7 +1,6 @@ from typing import Dict, Any, List import gradio as gr from pai_rag.app.web.rag_client import rag_client -from pai_rag.app.web.view_model import view_model from pai_rag.app.web.ui_constants import ( SIMPLE_PROMPTS, GENERAL_PROMPTS, @@ -31,9 +30,7 @@ def respond(input_elements: List[Any]): if not update_dict["question"]: return "", update_dict["chatbot"], 0 - view_model.update(update_dict) - new_config = view_model.to_app_config() - rag_client.reload_config(new_config) + rag_client.patch_config(update_dict) query_type = update_dict["query_type"] msg = update_dict["question"] @@ -235,7 +232,7 @@ def change_query_radio(query_type): respond, chat_args, [question, chatbot, cur_tokens], - api_name="respond", + api_name="respond_q", ) clearBtn.click(clear_history, [chatbot], [chatbot, cur_tokens]) return { diff --git a/src/pai_rag/app/web/tabs/settings_tab.py b/src/pai_rag/app/web/tabs/settings_tab.py index acdda1e1..80e0892e 100644 --- a/src/pai_rag/app/web/tabs/settings_tab.py +++ b/src/pai_rag/app/web/tabs/settings_tab.py @@ -9,7 +9,6 @@ LLM_MODEL_KEY_DICT, ) from pai_rag.app.web.rag_client import rag_client -from pai_rag.app.web.view_model import view_model from pai_rag.app.web.utils import components_to_dict from pai_rag.app.web.tabs.vector_db_panel import create_vector_db_panel import logging @@ -23,9 +22,7 @@ def connect_vector_db(input_elements: List[Any]): for element, value in input_elements.items(): update_dict[element.elem_id] = value - view_model.update(update_dict) - new_config = view_model.to_app_config() - rag_client.reload_config(new_config) + rag_client.patch_config(update_dict) return f"[{datetime.datetime.now()}] Connect vector db success!" except Exception as ex: logger.critical(f"[Critical] Connect failed. {traceback.format_exc()}") @@ -59,23 +56,17 @@ def create_setting_tab() -> Dict[str, Any]: ) def change_emb_source(source): - view_model.embed_source = source return { embed_model: gr.update(visible=(source == "HuggingFace")), - embed_dim: EMBEDDING_DIM_DICT.get( - view_model.embed_model, DEFAULT_EMBED_SIZE - ) + embed_dim: EMBEDDING_DIM_DICT.get(source, DEFAULT_EMBED_SIZE) if source == "HuggingFace" else DEFAULT_EMBED_SIZE, } def change_emb_model(model): - view_model.embed_model = model return { - embed_dim: EMBEDDING_DIM_DICT.get( - view_model.embed_model, DEFAULT_EMBED_SIZE - ) - if view_model.embed_source == "HuggingFace" + embed_dim: EMBEDDING_DIM_DICT.get(model, DEFAULT_EMBED_SIZE) + if embed_source == "HuggingFace" else DEFAULT_EMBED_SIZE, } @@ -98,7 +89,7 @@ def change_emb_model(model): label="LLM Model Source", elem_id="llm", ) - with gr.Column(visible=(view_model.llm == "PaiEas")) as eas_col: + with gr.Column(visible=(llm == "PaiEas")) as eas_col: llm_eas_url = gr.Textbox( label="EAS Url", elem_id="llm_eas_url", @@ -112,7 +103,7 @@ def change_emb_model(model): label="EAS Model name", elem_id="llm_eas_model_name", ) - with gr.Column(visible=(view_model.llm != "PaiEas")) as api_llm_col: + with gr.Column(visible=(llm != "PaiEas")) as api_llm_col: llm_api_model_name = gr.Dropdown( label="LLM Model Name", elem_id="llm_api_model_name", @@ -129,7 +120,6 @@ def change_emb_model(model): ) def change_llm(value): - view_model.llm = value eas_visible = value == "PaiEas" api_visible = value != "PaiEas" model_options = LLM_MODEL_KEY_DICT.get(value, []) diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index b1f6302b..ef9f45df 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -3,17 +3,13 @@ import gradio as gr import time from pai_rag.app.web.rag_client import rag_client -from pai_rag.app.web.view_model import view_model from pai_rag.utils.file_utils import MyUploadFile import pandas as pd import asyncio def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extraction): - view_model.chunk_size = chunk_size - view_model.chunk_overlap = chunk_overlap - new_config = view_model.to_app_config() - rag_client.reload_config(new_config) + rag_client.patch_config({"chunk_size": chunk_size, "chunk_overlap": chunk_overlap}) if not upload_files: yield [ @@ -26,8 +22,7 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti my_upload_files = [] for file in upload_files: - file_dir = os.path.dirname(file.name) - response = rag_client.add_knowledge(file_dir, enable_qa_extraction) + response = rag_client.add_knowledge(file.name, enable_qa_extraction) my_upload_files.append( MyUploadFile(os.path.basename(file.name), response["task_id"]) ) diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py index fe9da895..a2f196e7 100644 --- a/src/pai_rag/app/web/tabs/vector_db_panel.py +++ b/src/pai_rag/app/web/tabs/vector_db_panel.py @@ -1,6 +1,5 @@ import gradio as gr from typing import Any, Set, Callable, Dict -from pai_rag.app.web.view_model import view_model from pai_rag.app.web.utils import components_to_dict @@ -18,9 +17,7 @@ def create_vector_db_panel( elem_id="vectordb_type", ) # Adb - with gr.Column( - visible=(view_model.vectordb_type == "AnalyticDB") - ) as adb_col: + with gr.Column(visible=(vectordb_type == "AnalyticDB")) as adb_col: adb_ak = gr.Textbox( label="access-key-id", type="password", @@ -85,9 +82,7 @@ def create_vector_db_panel( api_name="connect_adb", ) # Hologres - with gr.Column( - visible=(view_model.vectordb_type == "Hologres") - ) as holo_col: + with gr.Column(visible=(vectordb_type == "Hologres")) as holo_col: hologres_host = gr.Textbox( label="Host", elem_id="hologres_host", @@ -139,9 +134,7 @@ def create_vector_db_panel( api_name="connect_hologres", ) - with gr.Column( - visible=(view_model.vectordb_type == "ElasticSearch") - ) as es_col: + with gr.Column(visible=(vectordb_type == "ElasticSearch")) as es_col: es_url = gr.Textbox(label="ElasticSearch Url", elem_id="es_url") es_index = gr.Textbox(label="Index Name", elem_id="es_index") es_user = gr.Textbox(label="ES User", elem_id="es_user") @@ -163,9 +156,7 @@ def create_vector_db_panel( api_name="connect_elasticsearch", ) - with gr.Column( - visible=(view_model.vectordb_type == "Milvus") - ) as milvus_col: + with gr.Column(visible=(vectordb_type == "Milvus")) as milvus_col: milvus_host = gr.Textbox(label="Host", elem_id="milvus_host") milvus_port = gr.Textbox(label="Port", elem_id="milvus_port") @@ -204,7 +195,7 @@ def create_vector_db_panel( api_name="connect_milvus", ) - with gr.Column(visible=(view_model.vectordb_type == "FAISS")) as faiss_col: + with gr.Column(visible=(vectordb_type == "FAISS")) as faiss_col: faiss_path = gr.Textbox(label="Path", elem_id="faiss_path") connect_btn_faiss = gr.Button("Connect Faiss", variant="primary") con_state_faiss = gr.Textbox(label="Connection Info: ") diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index 3aa1aa73..486d62fa 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -108,109 +108,135 @@ def update(self, update_paras: Dict[str, Any]): if key in attr_set: setattr(self, key, value) - def sync_app_config(self, config): - self.embed_source = config["embedding"].get("source", self.embed_source) - self.embed_model = config["embedding"].get("model_name", self.embed_model) - self.embed_api_key = config["embedding"].get("api_key", self.embed_api_key) - self.embed_batch_size = config["embedding"].get( - "embed_batch_size", self.embed_batch_size + @staticmethod + def from_app_config(config): + view_model = ViewModel() + view_model.embed_source = config["embedding"].get( + "source", view_model.embed_source + ) + view_model.embed_model = config["embedding"].get( + "model_name", view_model.embed_model + ) + view_model.embed_api_key = config["embedding"].get( + "api_key", view_model.embed_api_key + ) + view_model.embed_batch_size = config["embedding"].get( + "embed_batch_size", view_model.embed_batch_size ) - self.llm = config["llm"].get("source", self.llm) - self.llm_eas_url = config["llm"].get("endpoint", self.llm_eas_url) - self.llm_eas_token = config["llm"].get("token", self.llm_eas_token) - self.llm_api_key = config["llm"].get("api_key", self.llm_api_key) - self.llm_temperature = config["llm"].get("temperature", self.llm_temperature) - if self.llm == "PaiEAS": - self.llm_eas_model_name = config["llm"].get("name", self.llm_eas_model_name) + view_model.llm = config["llm"].get("source", view_model.llm) + view_model.llm_eas_url = config["llm"].get("endpoint", view_model.llm_eas_url) + view_model.llm_eas_token = config["llm"].get("token", view_model.llm_eas_token) + view_model.llm_api_key = config["llm"].get("api_key", view_model.llm_api_key) + view_model.llm_temperature = config["llm"].get( + "temperature", view_model.llm_temperature + ) + if view_model.llm == "PaiEAS": + view_model.llm_eas_model_name = config["llm"].get( + "name", view_model.llm_eas_model_name + ) else: - self.llm_api_model_name = config["llm"].get("name", self.llm_api_model_name) + view_model.llm_api_model_name = config["llm"].get( + "name", view_model.llm_api_model_name + ) - self.vectordb_type = config["index"]["vector_store"].get( - "type", self.vectordb_type + view_model.vectordb_type = config["index"]["vector_store"].get( + "type", view_model.vectordb_type + ) + view_model.faiss_path = config["index"].get( + "persist_path", view_model.faiss_path ) - self.faiss_path = config["index"].get("persist_path", self.faiss_path) - if self.vectordb_type == "AnalyticDB": - self.adb_ak = config["index"]["vector_store"]["ak"] - self.adb_sk = config["index"]["vector_store"]["sk"] - self.adb_region_id = config["index"]["vector_store"]["region_id"] - self.adb_instance_id = config["index"]["vector_store"]["instance_id"] - self.adb_account = config["index"]["vector_store"]["account"] - self.adb_account_password = config["index"]["vector_store"][ + if view_model.vectordb_type == "AnalyticDB": + view_model.adb_ak = config["index"]["vector_store"]["ak"] + view_model.adb_sk = config["index"]["vector_store"]["sk"] + view_model.adb_region_id = config["index"]["vector_store"]["region_id"] + view_model.adb_instance_id = config["index"]["vector_store"]["instance_id"] + view_model.adb_account = config["index"]["vector_store"]["account"] + view_model.adb_account_password = config["index"]["vector_store"][ "account_password" ] - self.adb_namespace = config["index"]["vector_store"]["namespace"] - self.adb_collection = config["index"]["vector_store"]["collection"] - self.adb_metrics = config["index"]["vector_store"].get("metrics", "cosine") - - elif self.vectordb_type == "Hologres": - self.hologres_host = config["index"]["vector_store"]["host"] - self.hologres_port = config["index"]["vector_store"]["port"] - self.hologres_user = config["index"]["vector_store"]["user"] - self.hologres_password = config["index"]["vector_store"]["password"] - self.hologres_database = config["index"]["vector_store"]["database"] - self.hologres_table = config["index"]["vector_store"]["table_name"] - self.hologres_pre_delete = config["index"]["vector_store"].get( - "pre_delete_table", False + view_model.adb_namespace = config["index"]["vector_store"]["namespace"] + view_model.adb_collection = config["index"]["vector_store"]["collection"] + view_model.adb_metrics = config["index"]["vector_store"].get( + "metrics", "cosine" ) - elif self.vectordb_type == "ElasticSearch": - self.es_index = config["index"]["vector_store"]["es_index"] - self.es_url = config["index"]["vector_store"]["es_url"] - self.es_user = config["index"]["vector_store"]["es_user"] - self.es_password = config["index"]["vector_store"]["es_password"] + elif view_model.vectordb_type == "Hologres": + view_model.hologres_host = config["index"]["vector_store"]["host"] + view_model.hologres_port = config["index"]["vector_store"]["port"] + view_model.hologres_user = config["index"]["vector_store"]["user"] + view_model.hologres_password = config["index"]["vector_store"]["password"] + view_model.hologres_database = config["index"]["vector_store"]["database"] + view_model.hologres_table = config["index"]["vector_store"]["table_name"] + view_model.hologres_pre_delete = config["index"]["vector_store"].get( + "pre_delete_table", False + ) - elif self.vectordb_type == "Milvus": - self.milvus_host = config["index"]["vector_store"]["host"] - self.milvus_port = config["index"]["vector_store"]["port"] - self.milvus_user = config["index"]["vector_store"]["user"] - self.milvus_password = config["index"]["vector_store"]["password"] - self.milvus_database = config["index"]["vector_store"]["database"] - self.milvus_collection_name = config["index"]["vector_store"][ + elif view_model.vectordb_type == "ElasticSearch": + view_model.es_index = config["index"]["vector_store"]["es_index"] + view_model.es_url = config["index"]["vector_store"]["es_url"] + view_model.es_user = config["index"]["vector_store"]["es_user"] + view_model.es_password = config["index"]["vector_store"]["es_password"] + + elif view_model.vectordb_type == "Milvus": + view_model.milvus_host = config["index"]["vector_store"]["host"] + view_model.milvus_port = config["index"]["vector_store"]["port"] + view_model.milvus_user = config["index"]["vector_store"]["user"] + view_model.milvus_password = config["index"]["vector_store"]["password"] + view_model.milvus_database = config["index"]["vector_store"]["database"] + view_model.milvus_collection_name = config["index"]["vector_store"][ "collection_name" ] - self.parser_type = config["node_parser"]["type"] - self.chunk_size = config["node_parser"]["chunk_size"] - self.chunk_overlap = config["node_parser"]["chunk_overlap"] + view_model.parser_type = config["node_parser"]["type"] + view_model.chunk_size = config["node_parser"]["chunk_size"] + view_model.chunk_overlap = config["node_parser"]["chunk_overlap"] - self.reader_type = config["data_reader"].get("type", self.reader_type) - self.enable_qa_extraction = config["data_reader"].get( - "enable_qa_extraction", self.enable_qa_extraction + view_model.reader_type = config["data_reader"].get( + "type", view_model.reader_type + ) + view_model.enable_qa_extraction = config["data_reader"].get( + "enable_qa_extraction", view_model.enable_qa_extraction ) - self.similarity_top_k = config["retriever"].get("similarity_top_k", 5) + view_model.similarity_top_k = config["retriever"].get("similarity_top_k", 5) if config["retriever"]["retrieval_mode"] == "hybrid": - self.retrieval_mode = "Hybrid" - self.BM25_weight = config["retriever"]["BM25_weight"] - self.vector_weight = config["retriever"]["vector_weight"] - self.fusion_mode = config["retriever"]["fusion_mode"] - self.query_rewrite_n = config["retriever"]["query_rewrite_n"] + view_model.retrieval_mode = "Hybrid" + view_model.BM25_weight = config["retriever"]["BM25_weight"] + view_model.vector_weight = config["retriever"]["vector_weight"] + view_model.fusion_mode = config["retriever"]["fusion_mode"] + view_model.query_rewrite_n = config["retriever"]["query_rewrite_n"] elif config["retriever"]["retrieval_mode"] == "embedding": - self.retrieval_mode = "Embedding Only" + view_model.retrieval_mode = "Embedding Only" elif config["retriever"]["retrieval_mode"] == "keyword": - self.retrieval_mode = "Keyword Only" + view_model.retrieval_mode = "Keyword Only" # if "Similarity" in config["postprocessor"]: - # self.similarity_cutoff = config["postprocessor"].get("similarity_cutoff", 0.1) + # view_model.similarity_cutoff = config["postprocessor"].get("similarity_cutoff", 0.1) rerank_model = config["postprocessor"].get("rerank_model", "no-reranker") if rerank_model == "llm-reranker": - self.rerank_model = "llm-reranker" + view_model.rerank_model = "llm-reranker" elif rerank_model == "bge-reranker-base": - self.rerank_model = "bge-reranker-base" + view_model.rerank_model = "bge-reranker-base" elif rerank_model == "bge-reranker-large": - self.rerank_model = "bge-reranker-large" + view_model.rerank_model = "bge-reranker-large" else: - self.rerank_model = "no-reranker" + view_model.rerank_model = "no-reranker" - self.synthesizer_type = config["synthesizer"].get("type", "SimpleSummarize") - self.text_qa_template = config["synthesizer"].get("text_qa_template", None) + view_model.synthesizer_type = config["synthesizer"].get( + "type", "SimpleSummarize" + ) + view_model.text_qa_template = config["synthesizer"].get( + "text_qa_template", None + ) if config["query_engine"]["type"] == "TransformQueryEngine": - self.query_engine_type = "TransformQueryEngine" + view_model.query_engine_type = "TransformQueryEngine" else: - self.query_engine_type = "RetrieverQueryEngine" + view_model.query_engine_type = "RetrieverQueryEngine" + + return view_model def to_app_config(self): config = recursive_dict() @@ -343,7 +369,7 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["rerank_model"] = {"value": self.rerank_model} settings["retrieval_mode"] = {"value": self.retrieval_mode} - prm_type = PROMPT_MAP.get(view_model.text_qa_template, "Custom") + prm_type = PROMPT_MAP.get(self.text_qa_template, "Custom") settings["prm_type"] = {"value": prm_type} settings["text_qa_template"] = {"value": self.text_qa_template} @@ -386,6 +412,3 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["faiss_path"] = {"value": self.faiss_path} return settings - - -view_model = ViewModel() diff --git a/src/pai_rag/app/web/webui.py b/src/pai_rag/app/web/webui.py index c920968a..27e67b7a 100644 --- a/src/pai_rag/app/web/webui.py +++ b/src/pai_rag/app/web/webui.py @@ -1,5 +1,7 @@ +from fastapi import FastAPI import gradio as gr -from pai_rag.app.web.view_model import view_model +from pai_rag.app.web.view_model import ViewModel +from pai_rag.app.web.rag_client import rag_client from pai_rag.app.web.tabs.settings_tab import create_setting_tab from pai_rag.app.web.tabs.upload_tab import create_upload_tab from pai_rag.app.web.tabs.chat_tab import create_chat_tab @@ -11,11 +13,14 @@ import logging +DEFAULT_LOCAL_URL = "http://localhost:8001/" logger = logging.getLogger("WebUILogger") def resume_ui(): outputs = {} + rag_config = rag_client.get_config() + view_model = ViewModel.from_app_config(rag_config) component_settings = view_model.to_component_settings() for elem in elem_manager.get_elem_list(): @@ -29,7 +34,7 @@ def resume_ui(): return outputs -def create_ui(): +def make_homepage(): with gr.Blocks(css=DEFAULT_CSS_STYPE) as homepage: # generate components gr.Markdown(value=WELCOME_MESSAGE) @@ -46,3 +51,13 @@ def create_ui(): resume_ui, outputs=elem_manager.get_elem_list(), concurrency_limit=None ) return homepage + + +def configure_webapp(app: FastAPI, web_url, rag_url=DEFAULT_LOCAL_URL) -> gr.Blocks: + rag_client.set_endpoint(rag_url) + home = make_homepage() + home.queue(concurrency_count=1, max_size=64) + home._queue.set_url(web_url) + print(web_url) + gr.mount_gradio_app(app, home, path="") + return home diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 580bdb05..2532b679 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -78,6 +78,7 @@ async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: ) for score_node in node_results ] + return RetrievalResponse(docs=docs) async def aquery(self, query: RagQuery) -> RagResponse: @@ -102,7 +103,6 @@ async def aquery(self, query: RagQuery) -> RagResponse: if query.vector_db and query.vector_db.faiss_path: sessioned_config = self.config.copy() sessioned_config.index.update({"persist_path": query.vector_db.faiss_path}) - print(sessioned_config) chat_engine_factory = module_registry.get_module_with_config( "ChatEngineFactoryModule", sessioned_config @@ -112,10 +112,6 @@ async def aquery(self, query: RagQuery) -> RagResponse: ) response = await query_chat_engine.achat(query.question) - chat_store = module_registry.get_module_with_config( - "ChatStoreModule", sessioned_config - ) - chat_store.persist() return RagResponse(answer=response.response, session_id=session_id) async def aquery_llm(self, query: LlmQuery) -> LlmResponse: @@ -145,10 +141,6 @@ async def aquery_llm(self, query: LlmQuery) -> LlmResponse: ) response = await llm_chat_engine.achat(query.question) - chat_store = module_registry.get_module_with_config( - "ChatStoreModule", self.config - ) - chat_store.persist() return LlmResponse(answer=response.response, session_id=session_id) async def aquery_agent(self, query: LlmQuery) -> LlmResponse: diff --git a/src/pai_rag/core/rag_configuration.py b/src/pai_rag/core/rag_configuration.py index 2c0d01eb..5ce01650 100644 --- a/src/pai_rag/core/rag_configuration.py +++ b/src/pai_rag/core/rag_configuration.py @@ -12,6 +12,20 @@ class RagConfiguration: def __init__(self, config): self.config = config + @classmethod + def from_snapshot(cls): + try: + settings_files = [GENERATED_CONFIG_FILE_NAME] + config = Dynaconf( + envvar_prefix="PAIRAG", + settings_file=settings_files, + merge=True, + ) + return cls(config) + except Exception as error: + logging.critical("Read config file failed.") + raise error + @classmethod def from_file(cls, config_file): try: @@ -40,3 +54,10 @@ def persist(self): data = self.config.as_dict() os.makedirs("localdata", exist_ok=True) loaders.write(GENERATED_CONFIG_FILE_NAME, DynaBox(data).to_dict(), merge=True) + + def get_config_mtime(self): + try: + return os.path.getmtime(GENERATED_CONFIG_FILE_NAME) + except Exception as ex: + print(f"Fail to read config mtime {ex}") + return -1 diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index fb46f9f1..dbdb3c22 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -1,4 +1,5 @@ import asyncio +import os from asgi_correlation_id import correlation_id from pai_rag.core.rag_application import RagApplication from pai_rag.core.rag_configuration import RagConfiguration @@ -9,11 +10,11 @@ RagResponse, LlmResponse, ) -from pai_rag.app.web.view_model import view_model from openinference.instrumentation import using_attributes -from typing import Any, Dict +from typing import Any import logging +TASK_STATUS_FILE = "__upload_task_status.tmp" logger = logging.getLogger(__name__) @@ -40,16 +41,48 @@ async def _a_trace_correlation_id(*args, **kwargs): class RagService: def initialize(self, config_file: str): + self.config_file = config_file self.rag_configuration = RagConfiguration.from_file(config_file) - view_model.sync_app_config(self.rag_configuration.get_value()) + self.config_dict_value = self.rag_configuration.get_value().to_dict() + self.config_modified_time = self.rag_configuration.get_config_mtime() + + self.rag_configuration.persist() + self.rag = RagApplication() self.rag.initialize(self.rag_configuration.get_value()) - self.tasks_status: Dict[str, str] = {} - def reload(self, new_config: Any): - self.rag_configuration.update(new_config) - self.rag.reload(self.rag_configuration.get_value()) - self.rag_configuration.persist() + if os.path.exists(TASK_STATUS_FILE): + open(TASK_STATUS_FILE, "w").close() + + def get_config(self): + self.check_updates() + return self.config_dict_value + + def reload(self, new_config: Any = None): + rag_snapshot = RagConfiguration.from_snapshot() + if new_config: + # 多worker模式，读取最新的setting + rag_snapshot.update(new_config) + config_snapshot = rag_snapshot.get_value() + + new_dict_value = config_snapshot.to_dict() + if self.config_dict_value != new_dict_value: + logger.debug("Config changed, reload") + self.rag.reload(config_snapshot) + self.config_dict_value = new_dict_value + self.rag_configuration = rag_snapshot + self.rag_configuration.persist() + else: + logger.debug("Config not changed, not reload") + + def check_updates(self): + logger.info("Checking updates") + new_modified_time = self.rag_configuration.get_config_mtime() + if self.config_modified_time != new_modified_time: + self.reload() + self.config_modified_time = new_modified_time + else: + logger.info("No updates") def add_knowledge_async( self, @@ -58,30 +91,50 @@ def add_knowledge_async( faiss_path: str = None, enable_qa_extraction: bool = False, ): - self.tasks_status[task_id] = "processing" + self.check_updates() + with open(TASK_STATUS_FILE, "a") as f: + f.write(f"{task_id} processing\n") try: self.rag.load_knowledge(file_dir, faiss_path, enable_qa_extraction) - self.tasks_status[task_id] = "completed" + with open(TASK_STATUS_FILE, "a") as f: + f.write(f"{task_id} completed\n") except Exception as ex: logger.error(f"Upload failed: {ex}") - self.tasks_status[task_id] = "failed" + with open(TASK_STATUS_FILE, "a") as f: + f.write(f"{task_id} failed\n") + raise def get_task_status(self, task_id: str) -> str: - return self.tasks_status.get(task_id, "unknown") + self.check_updates() + default_status = "unknown" + if not os.path.exists(TASK_STATUS_FILE): + return default_status + + lines = open(TASK_STATUS_FILE).readlines() + for line in lines[::-1]: + if line.startswith(task_id): + return line.strip().split(" ")[1] + + return default_status async def aquery(self, query: RagQuery) -> RagResponse: + self.check_updates() return await self.rag.aquery(query) async def aquery_llm(self, query: LlmQuery) -> LlmResponse: + self.check_updates() return await self.rag.aquery_llm(query) async def aquery_retrieval(self, query: RetrievalQuery): + self.check_updates() return await self.rag.aquery_retrieval(query) async def aquery_agent(self, query: LlmQuery) -> LlmResponse: + self.check_updates() return await self.rag.aquery_agent(query) async def batch_evaluate_retrieval_and_response(self, type): + self.check_updates() return await self.rag.batch_evaluate_retrieval_and_response(type) diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index e8b87a82..ee5775a0 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -1,3 +1,5 @@ +import datetime +import json import os from typing import Any, Dict import asyncio @@ -118,8 +120,13 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): persist_dir=self.index.persist_path ) + index_metadata_file = os.path.join(self.index.persist_path, "index.metadata") if self.bm25_index: self.bm25_index.add_docs(nodes) + metadata_str = json.dumps({"lastUpdated": f"{datetime.datetime.now()}"}) + with open(index_metadata_file, "w") as wf: + wf.write(metadata_str) + logger.info(f"Inserted {len(nodes)} nodes successfully.") return diff --git a/src/pai_rag/integrations/llms/paieas/base.py b/src/pai_rag/integrations/llms/paieas/base.py index 40b7edf5..5a78e80d 100644 --- a/src/pai_rag/integrations/llms/paieas/base.py +++ b/src/pai_rag/integrations/llms/paieas/base.py @@ -14,11 +14,13 @@ from llama_index.core.base.llms.generic_utils import ( completion_to_chat_decorator, stream_completion_to_chat_decorator, + acompletion_to_chat_decorator, ) from typing import Any, Dict, Optional, Sequence from llama_index.core.bridge.pydantic import Field import json import requests +import httpx DEFAULT_EAS_MODEL_NAME = "pai-eas-custom-llm" DEFAULT_EAS_MAX_NEW_TOKENS = 512 @@ -103,14 +105,29 @@ def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: return CompletionResponse(text=text) @llm_completion_callback() - def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: - return self._stream(prompt=prompt, kwargs=kwargs) + async def acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + params = self._default_params() + params.update(kwargs) + response = await self._call_eas_async(prompt, params=params) + text = self._process_eas_response(response) + return CompletionResponse(text=text) @llm_chat_callback() def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: chat_fn = completion_to_chat_decorator(self.complete) return chat_fn(messages, **kwargs) + @llm_chat_callback() + async def achat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponse: + chat_fn = acompletion_to_chat_decorator(self.complete) + return await chat_fn(messages, **kwargs) + + @llm_completion_callback() + def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + return self._stream(prompt=prompt, kwargs=kwargs) + @llm_chat_callback() def stream_chat( self, messages: Sequence[ChatMessage], **kwargs: Any @@ -158,6 +175,42 @@ def _call_eas(self, prompt: str = "", params: Dict = {}) -> Any: except Exception as e: raise e + async def _call_eas_async(self, prompt: str = "", params: Dict = {}) -> Any: + """Generate text from the eas service.""" + headers = { + "Content-Type": "application/json", + "Authorization": f"{self.token}", + } + if self.version == "1.0": + body = { + "input_ids": f"{prompt}", + } + else: + body = { + "prompt": f"{prompt}", + } + + # add params to body + for key, value in params.items(): + body[key] = value + + # make request + async with httpx.AsyncClient() as http_client: + response = await http_client.post( + url=self.endpoint, headers=headers, json=body, timeout=60 + ) + + if response.status_code != 200: + raise Exception( + f"Request failed with status code {response.status_code}" + f" and message {response.text}" + ) + + try: + return json.loads(response.text) + except Exception as e: + raise e + def _stream( self, prompt: str, diff --git a/src/pai_rag/main.py b/src/pai_rag/main.py index 54e19a12..4a2cfa8a 100644 --- a/src/pai_rag/main.py +++ b/src/pai_rag/main.py @@ -1,6 +1,10 @@ +import asyncio +from contextlib import asynccontextmanager import click import uvicorn -from pai_rag.app.app import create_app +from fastapi import FastAPI +from pai_rag.app.api.service import configure_app +from pai_rag.app.web.webui import configure_webapp from logging.config import dictConfig import os from pathlib import Path @@ -8,7 +12,9 @@ _BASE_DIR = Path(__file__).parent DEFAULT_APPLICATION_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") DEFAULT_HOST = "0.0.0.0" -DEFAULT_PORT = 8000 +DEFAULT_PORT = 8001 +DEFAULT_RAG_URL = f"http://{DEFAULT_HOST}:{DEFAULT_PORT}/" +DEFAULT_GRADIO_PORT = 8002 def init_log(): @@ -49,6 +55,33 @@ def init_log(): dictConfig(log_config) +@asynccontextmanager +async def lifespan(app: FastAPI): + # Load the ML model + from pai_rag.modules.index.index_daemon import index_daemon + + """Start all the non-blocking service tasks, which run in the background.""" + asyncio.create_task(index_daemon.refresh_async()) + yield + + +init_log() + +app = FastAPI() + +is_gunicorn = "gunicorn" in os.environ.get("SERVER_SOFTWARE", "") +if is_gunicorn: + app = FastAPI(lifespan=lifespan) + configure_app(app, DEFAULT_APPLICATION_CONFIG_FILE) + + +async def service_tasks_startup(): + from pai_rag.modules.index.index_daemon import index_daemon + + """Start all the non-blocking service tasks, which run in the background.""" + asyncio.create_task(index_daemon.refresh_async()) + + @click.group(invoke_without_command=True) @click.pass_context @click.option("-V", "--version", is_flag=True, help="Show version and exit.") @@ -59,6 +92,34 @@ def main(ctx, version): click.echo(ctx.get_help()) +@main.command() +@click.option( + "-h", + "--host", + show_default=True, + help=f"WebApp Host IP. Default: {DEFAULT_HOST}", + default=DEFAULT_HOST, +) +@click.option( + "-p", + "--port", + show_default=True, + type=int, + help=f"WebApp Port. Default: {DEFAULT_GRADIO_PORT}", + default=DEFAULT_GRADIO_PORT, +) +@click.option( + "-c", + "--rag-url", + show_default=True, + help=f"PAI-RAG service endpoint. Default: {DEFAULT_RAG_URL}", + default=DEFAULT_RAG_URL, +) +def ui(host, port, rag_url): + configure_webapp(app=app, web_url=f"http://{host}:{port}/", rag_url=rag_url) + uvicorn.run(app, host=host, port=port, loop="asyncio") + + @main.command() @click.option( "-h", @@ -77,14 +138,20 @@ def main(ctx, version): ) @click.option( "-c", - "--config", + "--config-file", show_default=True, help=f"Configuration file. Default: {DEFAULT_APPLICATION_CONFIG_FILE}", default=DEFAULT_APPLICATION_CONFIG_FILE, ) -def run(host, port, config): - init_log() - - endpoint = f"http://{host}:{port}/" - app = create_app(config, endpoint) - uvicorn.run(app=app, host=host, port=port, loop="asyncio") +@click.option( + "-w", + "--workers", + show_default=True, + help="Worker Number. Default: 1", + type=int, + default=1, +) +def serve(host, port, config_file, workers): + app = FastAPI(lifespan=lifespan) + configure_app(app, config_file=config_file) + uvicorn.run(app=app, host=host, port=port, loop="asyncio", workers=workers) diff --git a/src/pai_rag/modules/index/index.py b/src/pai_rag/modules/index/index.py index 9bb9b2cf..c93b2486 100644 --- a/src/pai_rag/modules/index/index.py +++ b/src/pai_rag/modules/index/index.py @@ -1,6 +1,5 @@ import logging import os -import sys from typing import Dict, List, Any from pai_rag.modules.index.my_vector_store_index import MyVectorStoreIndex @@ -10,15 +9,12 @@ from pai_rag.modules.index.store import RagStore from llama_index.vector_stores.faiss import FaissVectorStore from pai_rag.utils.store_utils import get_store_persist_directory_name - -logging.basicConfig( - stream=sys.stdout, - level=logging.INFO, - format="%(asctime)s - %(levelname)s - %(message)s", -) +from pai_rag.modules.index.index_entry import index_entry DEFAULT_PERSIST_DIR = "./storage" +logger = logging.getLogger(__name__) + class RagIndex: def __init__(self, config, embed_model): @@ -28,15 +24,17 @@ def __init__(self, config, embed_model): persist_path = config.get("persist_path", DEFAULT_PERSIST_DIR) folder_name = get_store_persist_directory_name(config, self.embed_dims) self.persist_path = os.path.join(persist_path, folder_name) + index_entry.register(self.persist_path) + is_empty = not os.path.exists(self.persist_path) rag_store = RagStore(config, self.persist_path, is_empty, self.embed_dims) - storage_context = rag_store.get_storage_context() + self.storage_context = rag_store.get_storage_context() self.vectordb_type = config["vector_store"].get("type", "faiss").lower() if is_empty: - self.vector_index = self.create_indices(storage_context, embed_model) + self.vector_index = self.create_indices(self.storage_context, embed_model) else: - self.vector_index = self.load_indices(storage_context, embed_model) + self.vector_index = self.load_indices(self.storage_context, embed_model) def _get_embed_vec_dim(self, embed_model): # Get dimension size of embedding vector @@ -49,7 +47,6 @@ def create_indices(self, storage_context, embed_model): nodes=[], storage_context=storage_context, embed_model=embed_model ) logging.info("Created vector_index.") - return vector_index def load_indices(self, storage_context, embed_model): @@ -64,6 +61,19 @@ def load_indices(self, storage_context, embed_model): ) return vector_index + def reload(self): + if isinstance(self.storage_context.vector_store, FaissVectorStore): + rag_store = RagStore(self.config, self.persist_path, False, self.embed_dims) + self.storage_context = rag_store.get_storage_context() + + self.vector_index = load_index_from_storage( + storage_context=self.storage_context + ) + logger.info( + f"FaissIndex {self.persist_path} reloaded with {len(self.vector_index.docstore.docs)} nodes." + ) + return + class IndexModule(ConfigurableModule): """Class for managing indices. diff --git a/src/pai_rag/modules/index/index_daemon.py b/src/pai_rag/modules/index/index_daemon.py new file mode 100644 index 00000000..1efeea52 --- /dev/null +++ b/src/pai_rag/modules/index/index_daemon.py @@ -0,0 +1,64 @@ +import asyncio +import datetime +import os +import json +from pai_rag.modules.module_registry import module_registry +from pai_rag.modules.index.index_entry import index_entry +import logging + +logger = logging.getLogger(__name__) + + +class IndexDaemon: + def _get_index_lastUpdated(self, index_path): + index_metadata_file = os.path.join(index_path, "index.metadata") + if os.path.exists(index_metadata_file): + with open(index_metadata_file) as f: + metadata = json.loads(f.read()) + return metadata["lastUpdated"] + return None + + def register(self, index_path): + if index_path not in index_entry.index_entries: + index_entry.index_entries[index_path] = self._get_index_lastUpdated( + index_path + ) + + async def refresh_async(self): + while True: + logger.info(f"{datetime.datetime.now()} Start scan.") + bm25_indexes = list( + module_registry.get_mod_instances("BM25IndexModule").values() + ) + + index_map = module_registry.get_mod_instances("IndexModule") + for _, index in index_map.items(): + index_path = index.persist_path + if index_path not in index_entry.index_entries: + continue + + lastUpdated = self._get_index_lastUpdated(index_path) + logging.debug( + f"Comparing {lastUpdated} <---> {index_entry.index_entries[index_path]}" + ) + if lastUpdated != index_entry.index_entries[index_path]: + logger.info(f"{datetime.datetime.now()} Reloading index.") + + index.reload() + + for bm25_index in bm25_indexes: + if bm25_index.persist_path == index_path: + logger.info( + f"{datetime.datetime.now()} Reloading bm25 index." + ) + bm25_index.reload() + + index_entry.index_entries[index_path] = lastUpdated + logger.info(f"{datetime.datetime.now()} Reloaded index.") + module_registry.destroy_config_cache() + + logger.info(f"{datetime.datetime.now()} Index scan complete.") + await asyncio.sleep(10) + + +index_daemon = IndexDaemon() diff --git a/src/pai_rag/modules/index/index_entry.py b/src/pai_rag/modules/index/index_entry.py new file mode 100644 index 00000000..638396a1 --- /dev/null +++ b/src/pai_rag/modules/index/index_entry.py @@ -0,0 +1,25 @@ +import os +import json +import logging + +logger = logging.getLogger(__name__) + + +class IndexEntry: + def __init__(self): + self.index_entries = {} + + def register(self, index_path): + if index_path not in self.index_entries: + self.index_entries[index_path] = self._get_index_lastUpdated(index_path) + + def _get_index_lastUpdated(self, index_path): + index_metadata_file = os.path.join(index_path, "index.metadata") + if os.path.exists(index_metadata_file): + with open(index_metadata_file) as f: + metadata = json.loads(f.read()) + return metadata["lastUpdated"] + return None + + +index_entry = IndexEntry() diff --git a/src/pai_rag/modules/index/pai_bm25_index.py b/src/pai_rag/modules/index/pai_bm25_index.py index 924f914c..b72053a2 100644 --- a/src/pai_rag/modules/index/pai_bm25_index.py +++ b/src/pai_rag/modules/index/pai_bm25_index.py @@ -62,18 +62,20 @@ def __init__( self.k1 = k1 self.b = b - self.persist_path = os.path.join(persist_path, DEFAULT_STORE_DIR) - self.parts_path = os.path.join(self.persist_path, DEFAULT_FILE_PART_DIR) - self.index_file = os.path.join(self.persist_path, DEFAULT_INDEX_FILE) - self.index_matrix_file = os.path.join( - self.persist_path, DEFAULT_INDEX_MATRIX_FILE - ) + self.persist_path = persist_path + self.data_path = os.path.join(persist_path, DEFAULT_STORE_DIR) + self.parts_path = os.path.join(self.data_path, DEFAULT_FILE_PART_DIR) + self.index_file = os.path.join(self.data_path, DEFAULT_INDEX_FILE) + self.index_matrix_file = os.path.join(self.data_path, DEFAULT_INDEX_MATRIX_FILE) self.workers = workers - self.tokenizer = tokenizer or jieba_tokenizer - logger.info("Start loading local BM25 index!") + logger.info(f"Start loading local BM25 index @ {self.data_path}!") + self.reload() + logger.info(f"Finished loading BM25 index @ {self.data_path}!") + + def reload(self): if os.path.exists(self.parts_path): with open(self.index_file, "rb") as f: self.index: LocalBm25Index = pickle.load(f) @@ -83,8 +85,7 @@ def __init__( self.index = LocalBm25Index() self.index_matrix = None self.token_map = {} - - logger.info("Finished loading BM25 index!") + self.doc_cache = {} def split_doc(self, text_list: List[str], tokenizer: Callable): tokens_list = [] @@ -158,7 +159,7 @@ def add_docs(self, nodes: List[BaseNode]): self.index.doc_count += 1 self.index.node_id_map[node_id] = node_index node_index_list.append(self.index.node_id_map[node_id]) - + self.doc_cache[self.index.node_id_map[node_id]] = node else: # don't handle image or graph node pass @@ -253,31 +254,30 @@ def load_batch_from_part_file(self, batch_ids, part_id): return nodes def load_docs_with_index(self, doc_indexes): - results = [] - if len(doc_indexes) == 0: - return results + filtered_doc_indexes = [idx for idx in doc_indexes if idx not in self.doc_cache] + if len(filtered_doc_indexes) == 0: + return [self.doc_cache[idx] for idx in doc_indexes] - index2nodes = {} - node_indexes = doc_indexes.copy() + node_indexes = filtered_doc_indexes.copy() node_indexes.sort() bucket_size = DEFAULT_PART_SIZE batch_ids = [] pre_bucket = -1 - for i in doc_indexes: + for i in node_indexes: bucket = int(i / bucket_size) if bucket != pre_bucket: if batch_ids: batch_nodes = self.load_batch_from_part_file(batch_ids, bucket) - index2nodes.update(zip(batch_ids, batch_nodes)) + self.doc_cache.update(zip(batch_ids, batch_nodes)) batch_ids = [] pre_bucket = bucket batch_ids.append(i) if batch_ids: batch_nodes = self.load_batch_from_part_file(batch_ids, bucket) - index2nodes.update(zip(batch_ids, batch_nodes)) + self.doc_cache.update(zip(batch_ids, batch_nodes)) - return [index2nodes[i] for i in doc_indexes] + return [self.doc_cache[i] for i in doc_indexes] def query(self, query_str: str, top_n: int = 5) -> List[NodeWithScore]: results = [] diff --git a/src/pai_rag/modules/llm/llm_module.py b/src/pai_rag/modules/llm/llm_module.py index 44b98758..7511766b 100644 --- a/src/pai_rag/modules/llm/llm_module.py +++ b/src/pai_rag/modules/llm/llm_module.py @@ -3,7 +3,9 @@ from llama_index.core import Settings from llama_index.llms.openai import OpenAI from llama_index.llms.azure_openai import AzureOpenAI -from llama_index.llms.dashscope import DashScope + +# from llama_index.llms.dashscope import DashScope +from pai_rag.modules.llm.my_dashscope import MyDashScope from pai_rag.integrations.llms.paieas.base import PaiEAS from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG @@ -56,7 +58,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): model = {model_name} """ ) - llm = DashScope( + llm = MyDashScope( model_name=model_name, temperature=config.get("temperature", 0.1) ) elif source == "paieas": diff --git a/src/pai_rag/modules/llm/my_dashscope.py b/src/pai_rag/modules/llm/my_dashscope.py new file mode 100644 index 00000000..d6e89d80 --- /dev/null +++ b/src/pai_rag/modules/llm/my_dashscope.py @@ -0,0 +1,365 @@ +"""DashScope llm api.""" + +from http import HTTPStatus +from typing import Any, Dict, List, Optional, Sequence, Tuple + +from llama_index.core.base.llms.types import ( + ChatMessage, + ChatResponse, + ChatResponseGen, + CompletionResponse, + CompletionResponseGen, + LLMMetadata, + MessageRole, +) +from llama_index.core.bridge.pydantic import Field +from llama_index.core.callbacks import CallbackManager +from llama_index.core.constants import DEFAULT_NUM_OUTPUTS, DEFAULT_TEMPERATURE +from llama_index.core.llms.callbacks import ( + llm_chat_callback, + llm_completion_callback, +) +from llama_index.core.llms.custom import CustomLLM +from llama_index.llms.dashscope.utils import ( + chat_message_to_dashscope_messages, + dashscope_response_to_chat_response, + dashscope_response_to_completion_response, +) + + +class DashScopeGenerationModels: + """DashScope Qwen serial models.""" + + QWEN_TURBO = "qwen-turbo" + QWEN_PLUS = "qwen-plus" + QWEN_MAX = "qwen-max" + QWEN_MAX_1201 = "qwen-max-1201" + QWEN_MAX_LONGCONTEXT = "qwen-max-longcontext" + + +DASHSCOPE_MODEL_META = { + DashScopeGenerationModels.QWEN_TURBO: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + }, + DashScopeGenerationModels.QWEN_PLUS: { + "context_window": 1024 * 32, + "num_output": 1024 * 32, + "is_chat_model": True, + }, + DashScopeGenerationModels.QWEN_MAX: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + }, + DashScopeGenerationModels.QWEN_MAX_1201: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + }, + DashScopeGenerationModels.QWEN_MAX_LONGCONTEXT: { + "context_window": 1024 * 30, + "num_output": 1024 * 30, + "is_chat_model": True, + }, +} + + +def call_with_messages( + model: str, + messages: List[Dict], + parameters: Optional[Dict] = None, + api_key: Optional[str] = None, + **kwargs: Any, +) -> Dict: + try: + from dashscope import Generation + except ImportError: + raise ValueError( + "DashScope is not installed. Please install it with " + "`pip install dashscope`." + ) + return Generation.call( + model=model, messages=messages, api_key=api_key, **parameters + ) + + +async def call_with_messages_async( + model: str, + messages: List[Dict], + parameters: Optional[Dict] = None, + api_key: Optional[str] = None, + **kwargs: Any, +) -> Dict: + try: + from dashscope import AioGeneration + except ImportError: + raise ValueError( + "DashScope is not installed. Please install it with " + "`pip install dashscope`." + ) + return await AioGeneration.call( + model=model, messages=messages, api_key=api_key, **parameters + ) + + +class MyDashScope(CustomLLM): + """DashScope LLM.""" + + model_name: str = Field( + default=DashScopeGenerationModels.QWEN_MAX, + description="The DashScope model to use.", + ) + max_tokens: Optional[int] = Field( + description="The maximum number of tokens to generate.", + default=DEFAULT_NUM_OUTPUTS, + gt=0, + ) + incremental_output: Optional[bool] = Field( + description="Control stream output, If False, the subsequent \ + output will include the content that has been \ + output previously.", + default=True, + ) + enable_search: Optional[bool] = Field( + description="The model has a built-in Internet search service. \ + This parameter controls whether the model refers to \ + the Internet search results when generating text.", + default=False, + ) + stop: Optional[Any] = Field( + description="str, list of str or token_id, list of token id. It will automatically \ + stop when the generated content is about to contain the specified string \ + or token_ids, and the generated content does not contain \ + the specified content.", + default=None, + ) + temperature: Optional[float] = Field( + description="The temperature to use during generation.", + default=DEFAULT_TEMPERATURE, + gte=0.0, + lte=2.0, + ) + top_k: Optional[int] = Field( + description="Sample counter when generate.", default=None + ) + top_p: Optional[float] = Field( + description="Sample probability threshold when generate." + ) + seed: Optional[int] = Field( + description="Random seed when generate.", default=1234, gte=0 + ) + repetition_penalty: Optional[float] = Field( + description="Penalty for repeated words in generated text; \ + 1.0 is no penalty, values greater than 1 discourage \ + repetition.", + default=None, + ) + api_key: str = Field( + default=None, description="The DashScope API key.", exclude=True + ) + + def __init__( + self, + model_name: Optional[str] = DashScopeGenerationModels.QWEN_MAX, + max_tokens: Optional[int] = DEFAULT_NUM_OUTPUTS, + incremental_output: Optional[int] = True, + enable_search: Optional[bool] = False, + stop: Optional[Any] = None, + temperature: Optional[float] = DEFAULT_TEMPERATURE, + top_k: Optional[int] = None, + top_p: Optional[float] = None, + seed: Optional[int] = 1234, + api_key: Optional[str] = None, + callback_manager: Optional[CallbackManager] = None, + **kwargs: Any, + ): + super().__init__( + model_name=model_name, + max_tokens=max_tokens, + incremental_output=incremental_output, + enable_search=enable_search, + stop=stop, + temperature=temperature, + top_k=top_k, + top_p=top_p, + seed=seed, + api_key=api_key, + callback_manager=callback_manager, + kwargs=kwargs, + ) + + @classmethod + def class_name(cls) -> str: + return "DashScope_LLM" + + @property + def metadata(self) -> LLMMetadata: + DASHSCOPE_MODEL_META[self.model_name]["num_output"] = ( + self.max_tokens or DASHSCOPE_MODEL_META[self.model_name]["num_output"] + ) + return LLMMetadata( + model_name=self.model_name, **DASHSCOPE_MODEL_META[self.model_name] + ) + + def _get_default_parameters(self) -> Dict: + params: Dict[Any, Any] = {} + if self.max_tokens is not None: + params["max_tokens"] = self.max_tokens + params["incremental_output"] = self.incremental_output + params["enable_search"] = self.enable_search + if self.stop is not None: + params["stop"] = self.stop + if self.temperature is not None: + params["temperature"] = self.temperature + + if self.top_k is not None: + params["top_k"] = self.top_k + + if self.top_p is not None: + params["top_p"] = self.top_p + if self.seed is not None: + params["seed"] = self.seed + + return params + + def _get_input_parameters( + self, prompt: str, **kwargs: Any + ) -> Tuple[ChatMessage, Dict]: + parameters = self._get_default_parameters() + parameters.update(kwargs) + parameters["stream"] = False + # we only use message response + parameters["result_format"] = "message" + message = ChatMessage( + role=MessageRole.USER.value, + content=prompt, + ) + return message, parameters + + @llm_completion_callback() + def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + message, parameters = self._get_input_parameters(prompt=prompt, **kwargs) + parameters.pop("incremental_output", None) + parameters.pop("stream", None) + messages = chat_message_to_dashscope_messages([message]) + response = call_with_messages( + model=self.model_name, + messages=messages, + api_key=self.api_key, + parameters=parameters, + ) + return dashscope_response_to_completion_response(response) + + @llm_completion_callback() + def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + message, parameters = self._get_input_parameters(prompt=prompt, kwargs=kwargs) + parameters["incremental_output"] = True + parameters["stream"] = True + responses = call_with_messages( + model=self.model_name, + messages=chat_message_to_dashscope_messages([message]), + api_key=self.api_key, + parameters=parameters, + ) + + def gen() -> CompletionResponseGen: + content = "" + for response in responses: + if response.status_code == HTTPStatus.OK: + top_choice = response.output.choices[0] + incremental_output = top_choice["message"]["content"] + if not incremental_output: + incremental_output = "" + + content += incremental_output + yield CompletionResponse( + text=content, delta=incremental_output, raw=response + ) + else: + yield CompletionResponse(text="", raw=response) + return + + return gen() + + @llm_chat_callback() + def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + parameters = self._get_default_parameters() + parameters.update({**kwargs}) + parameters.pop("stream", None) + parameters.pop("incremental_output", None) + parameters["result_format"] = "message" # only use message format. + response = call_with_messages( + model=self.model_name, + messages=chat_message_to_dashscope_messages(messages), + api_key=self.api_key, + parameters=parameters, + ) + return dashscope_response_to_chat_response(response) + + @llm_chat_callback() + def stream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseGen: + parameters = self._get_default_parameters() + parameters.update({**kwargs}) + parameters["stream"] = True + parameters["incremental_output"] = True + parameters["result_format"] = "message" # only use message format. + response = call_with_messages( + model=self.model_name, + messages=chat_message_to_dashscope_messages(messages), + api_key=self.api_key, + parameters=parameters, + ) + + def gen() -> ChatResponseGen: + content = "" + for r in response: + if r.status_code == HTTPStatus.OK: + top_choice = r.output.choices[0] + incremental_output = top_choice["message"]["content"] + role = top_choice["message"]["role"] + content += incremental_output + yield ChatResponse( + message=ChatMessage(role=role, content=content), + delta=incremental_output, + raw=r, + ) + else: + yield ChatResponse(message=ChatMessage(), raw=response) + return + + return gen() + + @llm_chat_callback() + async def achat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponse: + parameters = self._get_default_parameters() + parameters.update({**kwargs}) + parameters.pop("stream", None) + parameters.pop("incremental_output", None) + parameters["result_format"] = "message" # only use message format. + response = await call_with_messages_async( + model=self.model_name, + messages=chat_message_to_dashscope_messages(messages), + api_key=self.api_key, + parameters=parameters, + ) + return dashscope_response_to_chat_response(response) + + @llm_completion_callback() + async def acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + message, parameters = self._get_input_parameters(prompt=prompt, **kwargs) + parameters.pop("incremental_output", None) + parameters.pop("stream", None) + messages = chat_message_to_dashscope_messages([message]) + response = await call_with_messages_async( + model=self.model_name, + messages=messages, + api_key=self.api_key, + parameters=parameters, + ) + return dashscope_response_to_completion_response(response) diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index 6d6c673b..4048f3de 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -1,4 +1,5 @@ import hashlib +import json from typing import Dict, Any from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG import pai_rag.modules as modules @@ -30,6 +31,7 @@ class ModuleRegistry: def __init__(self): + self._cache_by_config = {} self._mod_cls_map = {} self._mod_deps_map = {} self._mod_deps_map_inverted = {} @@ -51,13 +53,25 @@ def __init__(self): self._mod_deps_map_inverted[dep].append(m_name) def _get_param_hash(self, params: Dict[str, Any]): - repr_str = repr(sorted(params.items())).encode("utf-8") + repr_str = json.dumps(params, default=repr, sort_keys=True).encode("utf-8") return hashlib.sha256(repr_str).hexdigest() def get_module_with_config(self, module_key, config): - return self._create_mod_lazily(module_key, config) + key = repr(config) + if key in self._cache_by_config and module_key in self._cache_by_config[key]: + return self._cache_by_config[key][module_key] + + else: + mod = self._create_mod_lazily(module_key, config) + if key not in self._cache_by_config: + self._cache_by_config[key] = {} + + self._cache_by_config[key][module_key] = mod + return mod def init_modules(self, config): + key = repr(config) + mod_cache = {} mod_stack = [] mod_ref_count = {} @@ -71,6 +85,9 @@ def init_modules(self, config): mod = mod_stack.pop() mod_obj = self._create_mod_lazily(mod, config, mod_cache) mod_cache[mod] = mod_obj + if key not in self._cache_by_config: + self._cache_by_config[key] = {} + self._cache_by_config[key][mod] = mod_obj # update module ref count that depends on on ref_mods = self._mod_deps_map_inverted.get(mod, []) @@ -102,6 +119,9 @@ def _create_mod_lazily(self, mod_name, config, mod_cache=None): params[dep] = self._create_mod_lazily(dep, config, mod_cache) instance_key = self._get_param_hash(params) + if mod_name == "IndexModule": + print(instance_key, params) + if instance_key not in self._mod_instance_map[mod_name]: logger.info(f"Creating new instance for module {mod_name} {instance_key}.") self._mod_instance_map[mod_name][instance_key] = mod_cls.get_or_create( @@ -109,5 +129,11 @@ def _create_mod_lazily(self, mod_name, config, mod_cache=None): ) return self._mod_instance_map[mod_name][instance_key] + def get_mod_instances(self, mod_name: str): + return self._mod_instance_map[mod_name] + + def destroy_config_cache(self): + self._cache_by_config = {} + module_registry = ModuleRegistry() diff --git a/src/pai_rag/modules/postprocessor/postprocessor.py b/src/pai_rag/modules/postprocessor/postprocessor.py index ebadfe44..998c8981 100644 --- a/src/pai_rag/modules/postprocessor/postprocessor.py +++ b/src/pai_rag/modules/postprocessor/postprocessor.py @@ -53,7 +53,9 @@ def _create_new_instance(self, new_params: Dict[str, Any]): logger.info( f"[PostProcessor]: Reranker model used with top_n {top_n}, model {model_name}." ) - post_processors.append(FlagEmbeddingReranker(model=model, top_n=top_n)) + post_processors.append( + FlagEmbeddingReranker(model=model, top_n=top_n, use_fp16=True), + ) else: logger.info("[PostProcessor]: No Reranker used.") diff --git a/src/pai_rag/modules/queryengine/my_retriever_query_engine.py b/src/pai_rag/modules/queryengine/my_retriever_query_engine.py index 8a18ac73..3a615f7a 100644 --- a/src/pai_rag/modules/queryengine/my_retriever_query_engine.py +++ b/src/pai_rag/modules/queryengine/my_retriever_query_engine.py @@ -4,7 +4,6 @@ from llama_index.core.callbacks.schema import CBEventType, EventPayload from llama_index.core.schema import NodeWithScore, QueryBundle from llama_index.core.query_engine import RetrieverQueryEngine - import llama_index.core.instrumentation as instrument import logging @@ -24,31 +23,19 @@ class MyRetrieverQueryEngine(RetrieverQueryEngine): def retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: nodes = self._retriever.retrieve(query_bundle) - try: - result = self._retriever._selector.select( - self._retriever._metadatas, query_bundle - ) - if result.ind == 0: - return nodes - else: - return self._apply_node_postprocessors(nodes, query_bundle=query_bundle) - except Exception as ex: - logger.warn(f"{ex}") - return self._apply_node_postprocessors(nodes, query_bundle=query_bundle) + return self._apply_node_postprocessors(nodes, query_bundle=query_bundle) + # 支持异步 async def aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: nodes = await self._retriever.aretrieve(query_bundle) - try: - result = await self._retriever._selector.aselect( - self._retriever._metadatas, query_bundle + + for node_postprocessor in self._node_postprocessors: + nodes = node_postprocessor.postprocess_nodes( + nodes, + query_bundle=query_bundle, ) - if result.ind == 0: - return nodes - else: - return self._apply_node_postprocessors(nodes, query_bundle=query_bundle) - except Exception as ex: - logger.warn(f"{ex}") - return self._apply_node_postprocessors(nodes, query_bundle=query_bundle) + + return nodes @dispatcher.span def _query(self, query_bundle: QueryBundle) -> RESPONSE_TYPE: @@ -72,12 +59,10 @@ async def _aquery(self, query_bundle: QueryBundle) -> RESPONSE_TYPE: CBEventType.QUERY, payload={EventPayload.QUERY_STR: query_bundle.query_str} ) as query_event: nodes = await self.aretrieve(query_bundle) - response = await self._response_synthesizer.asynthesize( query=query_bundle, nodes=nodes, ) - query_event.on_end(payload={EventPayload.RESPONSE: response}) return response From d779dd6282d1ef0308ff350c757bc2115dd2e081 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Thu, 27 Jun 2024 15:22:45 +0800 Subject: [PATCH 15/69] Add guides for env and docker (#81) * Add guides for env * add guides for docker build * Add README --- README.md | 286 +++++++++++++--------- README_zh.md | 286 ++++++++++++++++++++++ docs/docker_build.md | 33 +++ docs/figures/framework.jpg | Bin 0 -> 884977 bytes {src/pai_rag/docs => docs}/tabular_doc.md | 0 5 files changed, 484 insertions(+), 121 deletions(-) create mode 100644 README_zh.md create mode 100644 docs/docker_build.md create mode 100644 docs/figures/framework.jpg rename {src/pai_rag/docs => docs}/tabular_doc.md (100%) diff --git a/README.md b/README.md index 163d1530..9bf71977 100644 --- a/README.md +++ b/README.md @@ -1,154 +1,178 @@ -# PAI-RAG: An easy-to-use framework for modular RAG. +

+

PAI-RAG: An easy-to-use framework for modular RAG

+

[![PAI-RAG CI](https://github.com/aigc-apps/PAI-RAG/actions/workflows/main.yml/badge.svg)](https://github.com/aigc-apps/PAI-RAG/actions/workflows/main.yml) -## Get Started +

+ English | + 简体中文 | +

-### 本地启动 +
+📕 Contents -#### Step1: Clone Repo +- 💡 [What is PAI-RAG?](#what-is-pai-rag) +- 🌟 [Key Features](#key-features) +- 🔎 [Get Started](#get-started) + - [Local](#run-in-local-environment) + - [Docker](#run-in-docker) +- 🔧 [API Service](#api-service) -```bash -git clone git@github.com:aigc-apps/PAI-RAG.git -``` +
-#### Step2: 配置环境 +# 💡 What is PAI-RAG? -本项目使用poetry进行管理，建议在安装环境之前先创建一个空环境。为了确保环境一致性并避免因Python版本差异造成的问题，我们指定Python版本为3.10。 +PAI-RAG is an easy-to-use opensource framework for modular RAG (Retrieval-Augmented Generation). It combines LLM (Large Language Model) to provide truthful question-answering capabilities, supports flexible configuration and custom development of each module of the RAG system. It offers a production-level RAG workflow for businesses of any scale based on Alibaba Cloud's Platform of Artificial Intelligence (PAI). -```bash -conda create -n rag_env python==3.10 -conda activate rag_env -``` +# 🌟 Key Features -使用poetry安装项目依赖包 +![framework](docs/figures/framework.jpg) -```bash -pip install poetry -poetry install -``` +- Modular design, flexible and configurable +- Built on community open source components, low customization threshold +- Multi-dimensional automatic evaluation system, easy to grasp the performance quality of each module +- Integrated llm-based-application tracing and evaluation visualization tools +- Interactive UI/API calls, convenient iterative tuning experience +- Alibaba Cloud fast scenario deployment/image custom deployment/open source private deployment -#### Step3：加载数据 +# 🔎 Get Started -向当前索引存储中插入directory_path目录下的新文件 +## Run in Local Environment -```bash -load_data -c src/pai_rag/config/settings.yaml -d directory_path -``` +1. Clone Repo -#### Step4: 启动RAG服务 + ```bash + git clone git@github.com:aigc-apps/PAI-RAG.git + ``` -使用OpenAI API，需要在命令行引入环境变量 export OPENAI_API_KEY="" -使用DashScope API，需要在命令行引入环境变量 export DASHSCOPE_API_KEY="" +2. Development Environment Settings -```bash -# 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml) -pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] -``` + This project uses poetry for management. To ensure environmental consistency and avoid problems caused by Python version differences, we specify Python version 3.10. -你可以使用命令行向服务侧发送API请求。比如调用[Upload API](#upload-api)上传知识库文件。 + ```bash + conda create -n rag_env python==3.10 + conda activate rag_env + ``` -##### Query API +- (1) CPU -- **Rag Query请求** + Use poetry to install project dependency packages directly: -```bash -curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"PAI是什么？"}' -``` + ```bash + pip install poetry + poetry install + ``` -- **多轮对话请求** +- (2) GPU -```bash -curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"PAI是什么？"}' + First replace the default pyproject.toml with the GPU version, and then use poetry to install the project dependency package: -# 传入session_id：对话历史会话唯一标识，传入session_id后，将对话历史进行记录，调用大模型将自动携带存储的对话历史。 -curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有什么优势？", "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' + ```bash + mv pyproject_gpu.toml pyproject.toml && rm poetry.lock + pip install poetry + poetry install + ``` -# 传入chat_history：用户与模型的对话历史，list中的每个元素是形式为{"user":"用户输入","bot":"模型输出"}的一轮对话，多轮对话按时间顺序排列。 -curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有哪些功能？", "chat_history": [{"user":"PAI是什么？", "bot":"PAI是阿里云的人工智能平台，它提供一站式的机器学习解决方案。这个平台支持各种机器学习任务，包括有监督学习、无监督学习和增强学习，适用于营销、金融、社交网络等多个场景。"}]}' +- Common network timeout issues -# 同时传入session_id和chat_history：会用chat_history对存储的session_id所对应的对话历史进行追加更新 -curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有什么优势？", "chat_history": [{"user":"PAI是什么？", "bot":"PAI是阿里云的人工智能平台，它提供一站式的机器学习解决方案。这个平台支持各种机器学习任务，包括有监督学习、无监督学习和增强学习，适用于营销、金融、社交网络等多个场景。"}], "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' -``` + Note: During the installation, if you encounter a network connection timeout, you can add the Alibaba Cloud or Tsinghua mirror source and append the following lines to the end of the pyproject.toml file: -- **Agent及调用Fucntion Tool的简单对话** + ```bash + [[tool.poetry.source]] + name = "mirrors" + url = "http://mirrors.aliyun.com/pypi/simple/" # Aliyun + # url = "https://pypi.tuna.tsinghua.edu.cn/simple/" # Qsinghua + priority = "default" + ``` -```bash -curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"今年是2024年，10年前是哪一年？"}' -``` + After that, execute the following commands: -##### Evaluation API + ```bash + poetry lock + poetry install + ``` -支持三种评估模式：全链路评估、检索效果评估、生成效果评估。 +3. Load Data -初次调用时会在 localdata/evaluation 下自动生成一个评估数据集（qc_dataset.json， 其中包含了由LLM生成的query、reference_contexts、reference_node_id、reference_answer）。同时评估过程中涉及大量的LLM调用，因此会耗时较久。 + Insert new files in the directory directory_path into the current index storage: -- **（1）全链路效果评估（All）** + ```bash + load_data -c src/pai_rag/config/settings.yaml -d directory_path + ``` -```bash -curl -X 'POST' http://127.0.0.1:8000/service/batch_evaluate -``` +4. Run RAG Service -返回示例： - -```json -{ - "status": 200, - "result": { - "batch_number": 6, - "hit_rate_mean": 1.0, - "mrr_mean": 0.91666667, - "faithfulness_mean": 0.8333334, - "correctness_mean": 4.5833333, - "similarity_mean": 0.88153079 - } -} -``` + To use the OpenAI or DashScope API, you need to introduce environment variables: -- **（2）检索效果评估（Retrieval）** + ```bash + export OPENAI_API_KEY="" + export DASHSCOPE_API_KEY="" + ``` -```bash -curl -X 'POST' http://127.0.0.1:8000/service/batch_evaluate/retrieval -``` + ```bash + # Support custom host (default 0.0.0.0), port (default 8001), config (default src/pai_rag/config/settings.yaml) + pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] + ``` -返回示例： - -```json -{ - "status": 200, - "result": { - "batch_number": 6, - "hit_rate_mean": 1.0, - "mrr_mean": 0.91667 - } -} -``` +5. Run RAG WebUI -- **（3）生成效果评估（Response）** + ```bash + # Supports custom host (default 0.0.0.0), port (default 8002), config (default localhost:8001) + pai_rag ui [--host HOST] [--port PORT] [rag-url RAG_URL] + ``` + + You can also open http://127.0.0.1:8002/ to configure the RAG service and upload local data. + +## Run in Docker + +To make it easier to use and save time on environment installation, we also provide a method to start directly based on the image. + +### Use public images directly + +1. RAG Service + +- CPU + + ```bash + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 + + # -p (port) -v (mount embedding and rerank model directories) -e (set environment variables, if using Dashscope LLM/Embedding, need to be introduced) -w (number of workers, can be specified as the approximate number of CPU cores) + docker run -p 8001:8001 -v /huggingface:/huggingface -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + ``` + +- GPU + + ```bash + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu + + # -p (port) -v (mount embedding and rerank model directories) -e (set environment variables, if using Dashscope LLM/Embedding, you need to introduce it) -w (number of workers, which can be specified as the approximate number of CPU cores) + docker run -p 8001:8001 -v /huggingface:/huggingface --gpus all -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + ``` + +2. RAG UI ```bash -curl -X 'POST' http://127.0.0.1:8000/service/batch_evaluate/response -``` +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui -返回示例： - -```json -{ - "status": 200, - "result": { - "batch_number": 6, - "faithfulness_mean": 0.8333334, - "correctness_mean": 4.58333333, - "similarity_mean": 0.88153079 - } -} +docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui ``` -##### Upload API +### Build your own image based on Dockerfile + +You can refer to [How to Build Docker](docs/docker_build.md) to build the image yourself. + +After the image is built, you can refer to the above steps to start the Rag service and WebUI. + +# 🔧 API Service + +You can use the command line to send API requests to the server, for example, calling the [Upload API](#upload-api) to upload a knowledge base file. + +## Upload API -支持通过API的方式上传本地文件，并支持指定不同的faiss_path，每次发送API请求会返回一个task_id，之后可以通过task_id来查看文件上传状态（processing、completed、failed）。 +It supports uploading local files through API and supports specifying different failure_paths. Each time an API request is sent, a task_id will be returned. The file upload status (processing, completed, failed) can then be checked through the task_id. -- **（1）上传（upload_local_data）** +- upload_local_data ```bash curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' @@ -156,7 +180,7 @@ curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: # Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} ``` -- **（2）查看上传状态（upload_local_data）** +- get_upload_state ```bash curl http://127.0.0.1:8077/service/get_upload_state\?task_id\=2c1e557733764fdb9fefa063538914da @@ -164,29 +188,49 @@ curl http://127.0.0.1:8077/service/get_upload_state\?task_id\=2c1e557733764fdb9f # Return: {"task_id":"2c1e557733764fdb9fefa063538914da","status":"completed"} ``` -### RAG WEB UI +## Query API + +- Supports three dialogue modes: + - /query/retrieval + - /query/llm + - /query: (default) RAG (retrieval + llm) ```bash -# 启动，支持自定义host(默认0.0.0.0), port(默认8002), config(默认localhost:8001) -pai_rag ui [--host HOST] [--port PORT] [rag-url RAG_URL] +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"PAI是什么？"}' ``` -你也可以打开http://127.0.0.1:8002/ 来配置RAG服务以及上传本地数据。 - -### 独立脚本文件：不依赖于整体服务的启动，可独立运行 - -1. 向当前索引存储中插入新文件 +- Multi-round dialogue ```bash -load_data -d directory_path +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"What is PAI?"}' ``` -2. 生成QA评估测试集和效果评估 +> Parameters: session_id +> +> The unique identifier of the conversation history session. After the session_id is passed in, the conversation history will be recorded. Calling the large model will automatically carry the stored conversation history. +> +> ```bash +> curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"What are its advantages?", "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' +> ``` + +> Parameters: chat_history +> +> The conversation history between the user and the model. Each element in the list is a round of conversation in the form of {"user":"user input","bot":"model output"}. Multiple rounds of conversations are arranged in chronological order. +> +> ```bash +> curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"What are its features？", "chat_history": [{"user":"What is PAI?", "bot":"PAI is Alibaba Cloud's artificial intelligence platform, which provides a one-stop machine learning solution. This platform supports various machine learning tasks, including supervised learning, unsupervised learning, and reinforcement learning, and is suitable for multiple scenarios such as marketing, finance, and social networks."}]}' +> ``` + +> Parameters: session_id + chat_history +> +> Chat_history will be used to append and update the conversation history corresponding to the stored session_id +> +> ```bash +> curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有什么优势？", "chat_history": [{"user":"PAI是什么？", "bot":"PAI是阿里云的人工智能平台，它提供一站式的机器学习解决方案。这个平台支持各种机器学习任务，包括有监督学习、无监督学习和增强学习，适用于营销、金融、社交网络等多个场景。"}], "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' +> ``` -- type(t): 评估类型，可选，['retrieval', 'response', 'all']，默认为'all' -- overwrite(o): 是否重新生成QA文件，适用于有新增文件的情况，可选 ['True', 'False']，默认为'False' -- file_path(f): 评估结果的输出文件位置，可选，默认为'localdata/evaluation/batch_eval_results.xlsx' +- Agent And Function Tool ```bash -evaluation -t retrieval -o True -f results_output_path +curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"This year is 2024. What year was it 10 years ago?"}' ``` diff --git a/README_zh.md b/README_zh.md new file mode 100644 index 00000000..a075e8d9 --- /dev/null +++ b/README_zh.md @@ -0,0 +1,286 @@ +

+

PAI-RAG: 一个易于使用的模块化RAG框架

+

+ +[![PAI-RAG CI](https://github.com/aigc-apps/PAI-RAG/actions/workflows/main.yml/badge.svg)](https://github.com/aigc-apps/PAI-RAG/actions/workflows/main.yml) + +
+📕 目录 + +- 💡 [什么是PAI-RAG?](#什么是pai-rag) +- 🌟 [主要模块和功能](#主要模块和功能) +- 🔎 [快速开始](#快速开始) + - [本地环境](#方式一本地环境) + - [Docker镜像](#方式二docker镜像) +- 🔧 [API服务](#api服务) + +
+ +# 💡 什么是PAI-RAG? + +PAI-RAG 是一个易于使用的模块化 RAG（检索增强生成）开源框架，结合 LLM（大型语言模型）提供真实问答能力，支持 RAG 系统各模块灵活配置和定制开发，为基于阿里云人工智能平台（PAI）的任何规模的企业提供生产级的 RAG 系统。 + +# 🌟 主要模块和功能 + +![framework](docs/figures/framework.jpg) + +- 模块化设计，灵活可配置 +- 基于社区开源组件构建，定制化门槛低 +- 多维度自动评估体系，轻松掌握各模块性能质量 +- 集成全链路可观测和评估可视化工具 +- 交互式UI/API调用，便捷的迭代调优体验 +- 阿里云快速场景化部署/镜像自定义部署/开源私有化部署 + +# 🔎 快速开始 + +## 方式一：本地环境 + +1. 克隆仓库 + + ```bash + git clone git@github.com:aigc-apps/PAI-RAG.git + ``` + +2. 配置开发环境 + + 本项目使用poetry进行管理，若在本地环境下使用，建议在安装环境之前先创建一个空环境。为了确保环境一致性并避免因Python版本差异造成的问题，我们指定Python版本为3.10。 + + ```bash + conda create -n rag_env python==3.10 + conda activate rag_env + ``` + +- (1) CPU环境 + + 直接使用poetry安装项目依赖包： + + ```bash + pip install poetry + poetry install + ``` + +- (2) GPU环境 + + 首先替换默认 pyproject.toml 为 GPU 版本, 再使用poetry安装项目依赖包： + + ```bash + mv pyproject_gpu.toml pyproject.toml && rm poetry.lock + pip install poetry + poetry install + ``` + +- 常见网络超时问题 + + 注：在安装过程中，若遇到网络连接超时的情况，可以添加阿里云或清华的镜像源，在 pyproject.toml 文件末尾追加以下几行： + + ```bash + [[tool.poetry.source]] + name = "mirrors" + url = "http://mirrors.aliyun.com/pypi/simple/" # 阿里云 + # url = "https://pypi.tuna.tsinghua.edu.cn/simple/" # 清华 + priority = "default" + ``` + + 之后，再依次执行以下命令： + + ```bash + poetry lock + poetry install + ``` + +3. 加载数据 + + 向当前索引存储中插入directory_path目录下的新文件 + + ```bash + load_data -c src/pai_rag/config/settings.yaml -d directory_path + ``` + +4. 启动RAG服务 + + 使用OpenAI API，需要在命令行引入环境变量 + + ```bash + export OPENAI_API_KEY="" + ``` + + 使用DashScope API，需要在命令行引入环境变量 + + ```bash + export DASHSCOPE_API_KEY="" + ``` + + ```bash + # 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml) + pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] + ``` + +5. 启动RAG WebUI + + ```bash + # 启动，支持自定义host(默认0.0.0.0), port(默认8002), config(默认localhost:8001) + pai_rag ui [--host HOST] [--port PORT] [rag-url RAG_URL] + ``` + + 你也可以打开http://127.0.0.1:8002/ 来配置RAG服务以及上传本地数据。 + +## 方式二：Docker镜像 + +为了更方便使用，节省较长时间的环境安装问题，我们也提供了直接基于镜像启动的方式。 + +### 使用公开镜像 + +1. 启动RAG服务 + +- CPU + + ```bash + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 + + # 启动: -p(端口) -v(挂载embedding和rerank模型目录) -e(设置环境变量，若使用Dashscope LLM/Embedding，需要引入) -w(worker数量，可以指定为近似cpu核数) + docker run -p 8001:8001 -v /huggingface:/huggingface -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + ``` + +- GPU + + ```bash + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu + + # 启动: -p(端口) -v(挂载embedding和rerank模型目录) -e(设置环境变量，若使用Dashscope LLM/Embedding，需要引入) -w(worker数量，可以指定为近似cpu核数) + docker run -p 8001:8001 -v /huggingface:/huggingface --gpus all -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + ``` + +2. 启动RAG WebUI + +```bash +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui + +docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +``` + +### 基于Dockerfile自行构建镜像 + +可以参考[How to Build Docker](docs/docker_build.md)来自行构建镜像。 + +镜像构建完成后可参考【使用公开镜像】的步骤启动RAG服务和WebUI。 + +# 🔧 API服务 + +你可以使用命令行向服务侧发送API请求。比如调用[Upload API](#upload-api)上传知识库文件。 + +## Upload API + +支持通过API的方式上传本地文件，并支持指定不同的faiss_path，每次发送API请求会返回一个task_id，之后可以通过task_id来查看文件上传状态（processing、completed、failed）。 + +- 上传（upload_local_data） + +```bash +curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' + +# Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} +``` + +- 查看上传状态（get_upload_state） + +```bash +curl http://127.0.0.1:8077/service/get_upload_state\?task_id\=2c1e557733764fdb9fefa063538914da + +# Return: {"task_id":"2c1e557733764fdb9fefa063538914da","status":"completed"} +``` + +## Query API + +- Rag Query请求 + +```bash +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"PAI是什么？"}' +``` + +- 多轮对话请求 + +```bash +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"PAI是什么？"}' + +# 传入session_id：对话历史会话唯一标识，传入session_id后，将对话历史进行记录，调用大模型将自动携带存储的对话历史。 +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有什么优势？", "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' + +# 传入chat_history：用户与模型的对话历史，list中的每个元素是形式为{"user":"用户输入","bot":"模型输出"}的一轮对话，多轮对话按时间顺序排列。 +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有哪些功能？", "chat_history": [{"user":"PAI是什么？", "bot":"PAI是阿里云的人工智能平台，它提供一站式的机器学习解决方案。这个平台支持各种机器学习任务，包括有监督学习、无监督学习和增强学习，适用于营销、金融、社交网络等多个场景。"}]}' + +# 同时传入session_id和chat_history：会用chat_history对存储的session_id所对应的对话历史进行追加更新 +curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有什么优势？", "chat_history": [{"user":"PAI是什么？", "bot":"PAI是阿里云的人工智能平台，它提供一站式的机器学习解决方案。这个平台支持各种机器学习任务，包括有监督学习、无监督学习和增强学习，适用于营销、金融、社交网络等多个场景。"}], "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' +``` + +- Agent及调用Function Tool的简单对话 + +```bash +curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"今年是2024年，10年前是哪一年？"}' +``` + + diff --git a/docs/docker_build.md b/docs/docker_build.md new file mode 100644 index 00000000..5d9f8b51 --- /dev/null +++ b/docs/docker_build.md @@ -0,0 +1,33 @@ +# Docker build + +## Server + +### CPU + +```bash +docker build -f Dockerfile -t rag_serve:0.1 . +``` + +### GPU + +```bash +docker build -f Dockerfile_gpu -t rag_serve:0.1_gpu . +``` 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z3=VJ}F8GkoYK0Dk$Id~}VZ3`%M_zX)YI6Q9iz-Hufkrmoo>v>Gt;V#=4Vz)8Sd zw*5ZeM5Y1v*3QSJO$|GmK-)r~q+_fpH6TP_vVoJUPAjncP})&_Gl?ZiFic+H7A0jG zX?-QlM=HIHjw}y^5nU2D+=JMWTY8+-E_u(?hDh&RA?^Ft4Q4&9sGsOXV$W7h!3aZb w8wUeI&U%N0=zb(>P&l~-MlU8GCKZQC#bHwM|0ER%EKy@kcv5|l-1+ Date: Thu, 27 Jun 2024 17:17:31 +0800 Subject: [PATCH 16/69] Add config guide cn&en (#82) * add es setting * add es setting * add elasticsearch test * add es test * add and modify es_tokenizer test * add and modify es_tokenizer test * modify test_as_tokenizer * add skipif * fix test linter fails * fix lint problem * update test_as_analyzer * add config_guide * add navigation into readme --- README.md | 6 + README_zh.md | 6 + docs/config_guide_cn.md | 311 ++++++++++++++ docs/config_guide_en.md | 316 ++++++++++++++ .../retriever/my_async_vector_store.py | 392 ++++++++++++++++++ .../retriever/my_elasticsearch_store.py | 2 +- .../modules/synthesizer/synthesizer.py | 7 +- tests/modules/retriever/test_es_tokenizer.py | 101 +++++ 8 files changed, 1138 insertions(+), 3 deletions(-) create mode 100644 docs/config_guide_cn.md create mode 100644 docs/config_guide_en.md create mode 100644 src/pai_rag/modules/retriever/my_async_vector_store.py create mode 100644 tests/modules/retriever/test_es_tokenizer.py diff --git a/README.md b/README.md index 9bf71977..13f94d53 100644 --- a/README.md +++ b/README.md @@ -234,3 +234,9 @@ curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application ```bash curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"This year is 2024. What year was it 10 years ago?"}' ``` + +# Parameter Configuration + +For more customization options, please refer to the documentation: + +[Parameter Configuration Instruction](./docs/config_guide_en.md) diff --git a/README_zh.md b/README_zh.md index a075e8d9..82fde963 100644 --- a/README_zh.md +++ b/README_zh.md @@ -284,3 +284,9 @@ curl -X 'POST' http://127.0.0.1:8000/service/batch_evaluate/response } } ``` --> + +# 参数配置 + +如需实现更多个性化配置，请参考文档： + +[参数配置说明](./docs/config_guide_cn.md) diff --git a/docs/config_guide_cn.md b/docs/config_guide_cn.md new file mode 100644 index 00000000..71f093c3 --- /dev/null +++ b/docs/config_guide_cn.md @@ -0,0 +1,311 @@ +# 参数配置说明 + +这篇说明主要指导如何在 src/pai_rag/config/settings.toml 中配置您的 RAG 参数，以上路径在下文中简称 settings.toml + +## rag.data_reader + +type = [SimpleDirectoryReader, LlamaParseDirectoryReader, DatabaseReader] + +SimpleDirectoryReader是最常用的数据连接器。只需传入一个输入目录或文件列表。它会根据文件扩展名选择最合适的文件阅读器。 + +如果 type = "SimpleDirectoryReader", 无需额外参数: + + type = "SimpleDirectoryReader" + +LlamaParseDirectoryReader是SimpleDirectoryReader中集成LlamaParse的PDF加载器。LlamaParse是由LlamaIndex创建的API，能够高效解析和表示文件，以利用LlamaIndex框架进行高效的检索和上下文增强。 + +如果 type = "LlamaParseDirectoryReader", 首先，您需要登录并从 https://cloud.llamaindex.ai 获取一个 API 密钥。然后，您可以按照下面所示，在 settings.toml 文件中填写 "llama_cloud_api_key"，或者通过命令行将其设置为环境变量：`export LLAMA_CLOUD_API_KEY="xxx"` + + type = "LlamaParseDirectoryReader" + llama_cloud_api_key = "your_api_key" + +如果 type = "DatabaseReader", 目前支持的数据库类型是PostgreSQL，需要按照下面所示补充额外信息： + + type = "DatabaseReader" + database_type = "PostgreSQL" + host = "database url" + port = "datasase port" + dbname = "target db name" + user = "username" + password = "password" + +该设置在网页（webui）中不可用。 + +## rag.embedding + +source = [HuggingFace, OpenAI, DashScope] + +目前, pai_rag 支持以上三种 embedding 源. + +如果 source = "HuggingFace", 您需要进一步指定 model_name 和 embed_batch_size。默认的模型名称和批处理大小分别为 bge-small-zh-v1.5 和 10。 + + source = "HuggingFace" + model_name = "bge-small-zh-v1.5" + embed_batch_size = 10 + +或者, 如果你想使用其它 huggingface 模型, 请指定如下参数： + + source = "HuggingFace" + model_name = "xxx" + model_dir = "xxx/xxx" + embed_batch_size = 20 (for example) + +如果 source = "OpenAI" or "DashScope", 您需要通过设置 settings.toml 或环境变量提供相应的 api_key，且需要指定批处理大小： +source = "DashScope" (for example) +api_key = "xxx" +embed_batch_size = 10 + +该设置在网页中不可用。 + +## rag.llm + +source = [PaiEas, OpenAI, DashScope] + +目前, pai_rag 支持以上三类大语言模型. + +如果 source = "PaiEas", 需要指定参数如下: + + source = "PaiEas" + endpoint = "" + token = "" + +如果 source = "OpenAI", 网页中可选 gpt-3.5-turbo 和 gpt-4-turbo，您也可以在 setting.toml 中指定其它版本： + + source = "OpenAI" + model = "" + temperature = "" + +**_temperature_** 是一个范围从 0 到 1 的参数。设置较高值可以让模型更具创造性，而较低值可以使模型更准确和事实导向。在 pai_rag 中，其默认值为 0.1。 + +如果 source = "DashScope", 可选模型包括 qwen-turbo, qwen-max, qwen-plus, qwen-max-1201, qwen-max-longcontext。参数设置如下： + + source = "DashScope" + model = "" + temperature = "" + +该设置在网页中不可用。 + +## rag.index + +vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] + +目前, pai_rag 多种方式创建和存储索引。 + +如果 vector_store.type = "FAISS", 需要指定一个持久化路径： + + vector_store.type = "FAISS" + persist_path = "localdata/storage" + +如果 vector_store.type = "Hologres", 需要补充如下信息： + + vector_store.type = "Hologres" + host = "your hologres url" + port = 80 + user = "your user name" + password = "your pwd" + database = "pairag" (just for example) + table_name = "pairag" + +如果 vector_store.type = "ElasticSearch", 需要准备如下信息： + + vector_store.type = "ElasticSearch" + es_index = "create your index name" + es_url = "es_host:es_port(9200)" + es_user = "" + es_password = "" + +如果 vector_store.type = "AnalyticDB", 需要补充如下信息： + + vector_store.type = "AnalyticDB" + ak = "" + sk = "" + region_id = "" + instance_id = "" + account = "" + account_password = "" + namespace = "pairag" + collection = "pairag_collection" + +如果 vector_store.type = "Milvus", 需要提供如下信息： + + vector_store.type = "Milvus" + host = "" + port = "" + user = "" + password = "" + database = "pairag" + collection = "pairag_collection" + +如果 vector_store.type = "Chroma", 无需提供额外信息。 + +该设置在网页中不可用。 + +## rag.node_parser + +type = [Token, Sentence, SentenceWindow, Semantic] + +目前, pai_rag 支持四种 node_parser. + +如果 type = "Token", 会尝试根据原始标记（token）数量将其分割为一致的块大小，配置如下： + + type = "Token" + chunk_size = 1024 + chunk_overlab = 128 + +如果 type = "Sentence", 会尝试在维持句子边界的基础上分割文本，配置如下： + + type = "Sentence" + chunk_size = 500 + chunk_overlap = 10 + +如果 type = "SentenceWindow", 将所有文档分割成单独的句子。生成的节点还包含每个节点周围句子的“窗口”信息作为元数据。参数设置如下： + + type = "SentenceWindow" + chunk_size = 500 + chunk_overlap = 10 + paragraph_separator = "\n\n\n" + window_size = 3 + +如果 type = "Semantic", 通过嵌入相似性自适应地选择句子之间的断点，而不是使用固定的块大小来分割文本。这确保了一个“块”包含语义相关的句子。参数设置如下： + + type = "Semantic" + breakpoint_percentile_threshold = 95 + buffer_size = 1 + +以上各种参数中，chunk_size 和 chunk_overlap 可以在网页中设置。 + +## rag.retriever + +retrieval_mode = [hybrid, embedding, keyword] + +"keyword" 表示基于关键词的稀疏检索; "embedding" 表示基于相似度的向量检索; "hybrid" 表示混合检索，包括关键词和向量。 + +**如果在rag.index中配置了 "ElasticSearch"**, 将会使用到es内置的检索器，此时依然支持三种检索模式，需要明确返回相似度排名靠前的节点数量： + + retrieval_mode = "" # one of keyword, embedding and hybrid + similarity_top_k = 3 + +如果在rag.index中未配置 "ElasticSearch" 且 retrieval_mode = "keyword" 或 "embedding", 配置如下： + + retrieval_mode = "" # one of keyword and embedding + similarity_top_k = 3 + +如果在rag.index中未配置 "ElasticSearch" 且 retrieval_mode = "hybrid", 配置如下： + + retrieval_mode = "hybrid" + similarity_top_k = 3 + BM25_weight = 0.5 + vector_weight = 0.5 + fusion_mode = "reciprocal_rerank" # [simple, reciprocal_rerank, dist_based_score, relative_score] + query_rewrite_n = 1 # set to 1 to disable query generation + +这里, `similarity_top_k` 用于所有检索器，每个检索器返回相同数量的前 k 个节点，最终的融合检索器在所有召回节点中再筛选前 k 个节点。 每个检索器支持分配权重。`fusion_mode` 包含四种重排放法，例如，“simple”表示根据原始节点分数简单重新排序，其它三种可根据名称简单理解，其中，“reciprocal_rerank”是默认设置。`query_rewrite_n` 表示要重写的查询数量。例如，要生成2个查询，则可将此参数设为3。 + +retrieval_mode 和 similarity_top_k 可在网页中设置。 + +## rag.postprocessor + +rerank_model = [no-reranker, bge-reranker-base, bge-reranker-large, llm-reranker] + +目前, pai_rag 支持三种重排模型, 其中 llm-reranker 使用 llm 自身能力进行重排，其它两种为专门训练的小模型。 + +如果无需使用reranker，配置如下: + + rerank_model = "no_reranker" + +如果选择其中一个模型, 需要指定重排后返回的节点数量: + + rerank_model = "" # [bge-reranker-base, bge-reranker-large, llm-reranker] + top_n = 2 + +以上参数支持网页中配置。 + +## rag.synthesizer + +type = [Refine, Compact, TreeSummarize, SimpleSummarize] + +目前, pai_rag 支持四种合成器. + +`Refine`: 通过逐个处理每个检索到的文本块来创建和完善答案。这会为每个节点/检索到的块单独调用llm。 +`Compat`: 类似于 Refine，但是会预先将文本块连接在一起，从而减少llm的调用次数。 +`TreeSummarize`: 根据需要多次查询llm，使所有连接在一起的块都被查询，多个答案本身会递归地作为树状总结调用的块，依此类推，直到只剩下一个块，从而产出一个最终答案。 +`SimpleSummarize`: 将所有文本块截断以适应单个llm提示。适用于快速总结目的，但由于截断可能会丢失细节。 + +## rag.query_engine + +type = "RetrieverQueryEngine" + +查询引擎（query engine）是一个通用接口，接收自然语言查询，并返回丰富的响应。 + +## rag.llm_chat_engine + +type = "SimpleChatEngine" + +基于 query engine 之上的一个高级接口，用于与数据进行对话（而不是单一的问答），可类比为状态化的查询引擎。 + +## rag.chat_engine + +type = [CondenseQuestionChatEngine] + +Condense question 是建立在查询引擎query engine之上的简易聊天模式。每次聊天交互中：首先从对话上下文和最后一条消息生成一个独立的问题，然后用这个简化的问题查询查询引擎以获取回复。 + +## rag.chat_store + +type = [Local, Aliyun-Redis] + +本地或redis存储聊天记录。 + +如果 type = "Local", 默认的持久化路径设置如下, 或者自定义路径。 + + type = "Local" + persist_path = "localdata/storage" + +如果 type = "Aliyun-Redis", 你需要填写如下的主机和密码访问你的远程 Redis + + type = "Aliyun-Redis" + host = "Aliyun-Redis host" + password = "Aliyun-Redis user:pwd" + +该设置在网页中不可用。 + +## rag.evaluation + +目前, pai_rag 支持对检索效果和回复效果的评估。 + +检索器的评估指标包括 "mrr"（平均倒数排名） 和 "hit_rate"（命中率）, 可以指定两者或者任意一个： + + retrieval = ["mrr", "hit_rate"] + +对最终回复的评估指标包括 "Faithfulness"（事实性）, "Answer Relevancy"（回答相关性）, "Correctness"（正确性）以及 "Semantic Similarity"（语义相似性）, 可以选择全部或者任意若干： + + response = ["Faithfulness", "Answer Relevancy", "Correctness", "Semantic Similarity"] + +说明：这些评估需要基于特定的数据集格式，可以通过`src/pai_rag/evaluations/batch_evaluator`中的功能生成, 也可以提供正确格式的数据集路径： + + qa_dataset_path = "" + +该设置在网页中不可用。 + +## rag.agent + +type = [react] + +通过交替进行reasoning和acting的方式帮助智能体更好地应对和解决复杂问题。相较于一般的reasoning方法，能够根据当前的场景进行分析，做出更具有针对性的行动，并且提供了更好的可解释性和更高的容错度。该设置在网页中不可用。 + +## rag.tool + +type = [calculator, googlewebsearch] + +配合agent使用，目前内置了 googlesearch 和 calculator 工具。 + +如果 type = "googlewebsearch", 配置如下: + + type = "googlewebsearch" + google_search_api = "" + google_search_engine = "" + +如果 type = "calculator", 无需其它配置: + + type = "calculator" + +可在`src/pai_rag/modules/tool/`中自定义工具。 diff --git a/docs/config_guide_en.md b/docs/config_guide_en.md new file mode 100644 index 00000000..7aae43b7 --- /dev/null +++ b/docs/config_guide_en.md @@ -0,0 +1,316 @@ +# Parameter Configuration Instruction + +This guidance primarily walks you through configuring your RAG parameters in **_src/pai_rag/config/settings.toml_**, which is referred to as settings.toml hereafter. + +## rag.data_reader + +type = [SimpleDirectoryReader, LlamaParseDirectoryReader, DatabaseReader] + +SimpleDirectoryReader is the most commonly used data connector. Simply pass in a input directory or a list of files. It will select the best file reader based on the file extensions. + +If type = "SimpleDirectoryReader", it is simply as: + + type = "SimpleDirectoryReader" + +LlamaParseDirectoryReader is an integration with LlamaParse as the default PDF loader in SimpleDirectoryReader. LlamaParse is an API created by LlamaIndex to efficiently parse and represent files for efficient retrieval and context augmentation using LlamaIndex frameworks. + +If type = "LlamaParseDirectoryReader", firstly, you need to login and get an api-key from https://cloud.llamaindex.ai, then you can either fill in "llama_cloud_api_key" in settings.toml as shown below, or set it as an environment variable in the command line via: `export LLAMA_CLOUD_API_KEY="xxx"` + + type = "LlamaParseDirectoryReader" + llama_cloud_api_key = "your_api_key" + +If type = "DatabaseReader", the currently supported database_type is PostgreSQL, you need to specify additional information as shown below: + + type = "DatabaseReader" + database_type = "PostgreSQL" + host = "database url" + port = "datasase port" + dbname = "target db name" + user = "username" + password = "password" + +This setting is not available in webui. + +## rag.embedding + +source = [HuggingFace, OpenAI, DashScope] + +Currently, pai_rag supports three embedding sources. + +If source = "HuggingFace", you need to further specify model_name and embed_batch_size. The default model name and batch size are bge-small-zh-v1.5 and 10, respectively. + + source = "HuggingFace" + model_name = "bge-small-zh-v1.5" + embed_batch_size = 10 + +Alternatively, if you want to use other huggingface models, please specify parameters as below: + + source = "HuggingFace" + model_name = "xxx" + model_dir = "xxx/xxx" + embed_batch_size = 20 (for example) + +If source = "OpenAI" or "DashScope", you need to provide the corresponding api_key either through setting.toml or via environment variable, also you may specify your preferred batch_size (default=10): + + source = "DashScope" (for example) + api_key = "xxx" + embed_batch_size = 10 + +This setting is also available in webui. + +## rag.llm + +source = [PaiEas, OpenAI, DashScope] + +Currently, pai_rag supports three llm sources. + +If source = "PaiEas", you need to specify the following parameters: + + source = "PaiEas" + endpoint = "" + token = "" + +If source = "OpenAI", gpt-3.5-turbo and gpt-4-turbo are available in webui, also you can specify other versions in setting.toml as below: + + source = "OpenAI" + model = "" + temperature = "" + +It is noted that **_temperature_** is a parameter ranging from 0 to 1. A high temperature lets the model more creative while a low temperature makes the model more accurate and factual. Its default value in pai_rag is 0.1. + +If source = "DashScope", the candidates include qwen-turbo, qwen-max, qwen-plus, qwen-max-1201, qwen-max-longcontext. Parameters can be specified as below: + + source = "DashScope" + model = "" + temperature = "" + +This setting is also available in webui. + +## rag.index + +vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] + +Currently, pai_rag provides a variety of approaches for creating & storing indices. + +If vector_store.type = "FAISS", you can specify a local persist_path as below: + + vector_store.type = "FAISS" + persist_path = "localdata/storage" + +If vector_store.type = "Hologres", you need to set up the following information: + + vector_store.type = "Hologres" + host = "your hologres url" + port = 80 + user = "your user name" + password = "your pwd" + database = "pairag" (just for example) + table_name = "pairag" + +If vector_store.type = "ElasticSearch", you need to prepare the following information: + + vector_store.type = "ElasticSearch" + es_index = "create your index name" + es_url = "es_host:es_port(9200)" + es_user = "" + es_password = "" + +If vector_store.type = "AnalyticDB", you need to fill in the following information: + + vector_store.type = "AnalyticDB" + ak = "" + sk = "" + region_id = "" + instance_id = "" + account = "" + account_password = "" + namespace = "pairag" + collection = "pairag_collection" + +If vector_store.type = "Milvus", you need to provide the following information: + + vector_store.type = "Milvus" + host = "" + port = "" + user = "" + password = "" + database = "pairag" + collection = "pairag_collection" + +If vector_store.type = "Chroma", there is no extra setting. + +This setting is also available in webui. + +## rag.node_parser + +type = [Token, Sentence, SentenceWindow, Semantic] + +Currently, pai_rag supports four node_parsers. + +If type = "Token", it attempts to split to a consistent chunk size according to raw token counts. You can refer to the following configuration: + + type = "Token" + chunk_size = 1024 + chunk_overlab = 128 + +If type = "Sentence", it attempts to split text while respecting the boundaries of sentences. You can refer to the following setting: + + type = "Sentence" + chunk_size = 500 + chunk_overlap = 10 + +If type = "SentenceWindow", it splits all documents into individual sentences. The resulting nodes also contain the surrounding "window" of sentences around each node in the metadata. This is most useful for generating embeddings that have a very specific scope. Parameters are to be set as follows: + + type = "SentenceWindow" + chunk_size = 500 + chunk_overlap = 10 + paragraph_separator = "\n\n\n" + window_size = 3 + +If type = "Semantic", it adaptively picks the breakpoint in-between sentences using embedding similarity instead of chunking text with a fixed chunk size. This ensures that a "chunk" contains sentences that are semantically related to each other. Parameters are to be set as below: + + type = "Semantic" + breakpoint_percentile_threshold = 95 + buffer_size = 1 + +Among the different parameters, chunk_size and chunk_overlap can also be adjusted in webui. + +## rag.retriever + +retrieval_mode = [hybrid, embedding, keyword] + +"keyword" denotes using keyword only for sparse retrieval; "embedding" represents using embedded vector for dense retrieval; "hybrid" means using both. + +**If "ElasticSearch" is selected in rag.index**, you will be using the built-in retriever in ElasticSearch and the configuration is as follows: + + retrieval_mode = "" # one of keyword, embedding and hybrid + similarity_top_k = 3 + +If "ElasticSearch" is not selected previously and retrieval_mode = "keyword" or "embedding", the setting is as below: + + retrieval_mode = "" # one of keyword and embedding + similarity_top_k = 3 + +If "ElasticSearch" is not selected previously and retrieval_mode = "hybrid", the setting can be referred to as following: + + retrieval_mode = "hybrid" + similarity_top_k = 3 + BM25_weight = 0.5 + vector_weight = 0.5 + fusion_mode = "reciprocal_rerank" # [simple, reciprocal_rerank, dist_based_score, relative_score] + query_rewrite_n = 1 # set to 1 to disable query generation + +Herein, `similarity_top_k` is used for all retrievals, each retrieval outputs the same number of top_k nodes and the final fusion retrieval further selects top_k nodes among the previous selected nodes. +Each retrieval can be weighted depending on specific usage scenarios. +`fusion_mode` has four candidates with different reranking algorithm, e.g. "simple" means simple re-ordering of results based on original scores. "reciprocal_rerank" is the default setting. +`query_rewrite_n` denotes the number of queries to generate, e.g. to generate 2 more queries, this parameter can be set to 3. + +The retrieval mode as well as the similarity top k can also be set in webui. + +## rag.postprocessor + +rerank_model = [no-reranker, bge-reranker-base, bge-reranker-large, llm-reranker] + +Currently, pai_rag supports three rerank models, among which llm-reranker uses the llm itself. + +If you do not need a reranker, simply set as follows: + + rerank_model = "no_reranker" + +If a candidate model is selected, please also specify the top number of nodes to be returned: + + rerank_model = "" # [bge-reranker-base, bge-reranker-large, llm-reranker] + top_n = 2 + +This setting is also available in webui. + +## rag.synthesizer + +type = [Refine, Compact, TreeSummarize, SimpleSummarize] + +Currently, pai_rag supports four synthesizers. + +`Refine`: create and refine an answer by sequentially going through each retrieved text chunk. This makes a separate LLM call per Node/retrieved chunk. +`Compat`: similar to refine but compact (concatenate) the chunks beforehand, resulting in less LLM calls. +`TreeSummarize`: Query the LLM as many times as needed so that all concatenated chunks have been queried, resulting in as many answers that are themselves recursively used as chunks in a tree_summarize LLM call and so on, until there's only one chunk left, and thus only one final answer. +`SimpleSummarize`: Truncates all text chunks to fit into a single LLM prompt. Good for quick summarization purposes, but may lose detail due to truncation. + +## rag.query_engine + +type = "RetrieverQueryEngine" + +Query engine is a generic interface that allows you to ask question over your data. It takes in a natural language query, and returns a rich response. + +## rag.llm_chat_engine + +type = "SimpleChatEngine" + +Chat engine is a high-level interface for having a conversation with your data (multiple back-and-forth instead of a single question & answer). It is a stateful analogy of a query engine. + +## rag.chat_engine + +type = [CondenseQuestionChatEngine] + +Condense question is a simple chat mode built on top of a query engine over your data. For each chat interaction: +first generate a standalone question from conversation context and last message, then query the query engine with the condensed question for a response. + +## rag.chat_store + +type = [Local, Aliyun-Redis] + +Store you chat history locally or persist it in Aliyun-Redis. + +If type = "Local", persist_path can be set as below as default, or you can specify a preferred destination. + + type = "Local" + persist_path = "localdata/storage" + +If type = "Aliyun-Redis", you need to get access to the your remote redis by fulfilling host and password as shown below + + type = "Aliyun-Redis" + host = "Aliyun-Redis host" + password = "Aliyun-Redis user:pwd" + +This setting is not available in webui. + +## rag.evaluation + +Currently, pai_rag supports both retrieval and response evaluations. + +The candidate metrics for retrieval are "mrr" and "hit_rate", you can specify both or either. + + retrieval = ["mrr", "hit_rate"] + +The candidate metrics for response are "Faithfulness", "Answer Relevancy", "Correctness" as well as "Semantic Similarity", you can specify all or any subsets. + + response = ["Faithfulness", "Answer Relevancy", "Correctness", "Semantic Similarity"] + +It is noted that these evaluations are based on certain dataset format, which can be generated via `src/pai_rag/evaluations/batch_evaluator`, you can also provide the correctly formatted dataset path: + + qa_dataset_path = "" + +This setting is not available in webui. + +## rag.agent + +type = [react] + +A ReACT agent is a technique that combines the reasoning of LLMs with actionable steps to create a more sophisticated system. + +Currently, pai_rag supports the react type with googlesearch and calculator tools with add, subtract, multiply and divide functions. This setting is not available in webui. + +## rag.tool + +type = [calculator, googlewebsearch] + +If type = "googlewebsearch", you need to specify parameters as follows: + + type = "googlewebsearch" + google_search_api = "" + google_search_engine = "" + +If type = "calculator", no more parameters need to be specified: + + type = "calculator" + +You can define more customized tools in `src/pai_rag/modules/tool/`. diff --git a/src/pai_rag/modules/retriever/my_async_vector_store.py b/src/pai_rag/modules/retriever/my_async_vector_store.py new file mode 100644 index 00000000..9eb2dc69 --- /dev/null +++ b/src/pai_rag/modules/retriever/my_async_vector_store.py @@ -0,0 +1,392 @@ +# Licensed to Elasticsearch B.V. under one or more contributor +# license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright +# ownership. Elasticsearch B.V. licenses this file to you under +# the Apache License, Version 2.0 (the "License"); you may +# not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +import logging +import uuid +from typing import Any, Callable, Dict, List, Optional + +from elasticsearch import AsyncElasticsearch +from elasticsearch._version import __versionstr__ as lib_version +from elasticsearch.helpers import BulkIndexError, async_bulk +from elasticsearch.helpers.vectorstore import ( + AsyncEmbeddingService, + AsyncRetrievalStrategy, +) +from elasticsearch.helpers.vectorstore._utils import maximal_marginal_relevance + +logger = logging.getLogger(__name__) + + +class AsyncVectorStore: + """ + VectorStore is a higher-level abstraction of indexing and search. + Users can pick from available retrieval strategies. + + Documents have up to 3 fields: + - text_field: the text to be indexed and searched. + - metadata: additional information about the document, either schema-free + or defined by the supplied metadata_mappings. + - vector_field (usually not filled by the user): the embedding vector of the text. + + Depending on the strategy, vector embeddings are + - created by the user beforehand + - created by this AsyncVectorStore class in Python + - created in-stack by inference pipelines. + """ + + def __init__( + self, + client: AsyncElasticsearch, + *, + index: str, + retrieval_strategy: AsyncRetrievalStrategy, + embedding_service: Optional[AsyncEmbeddingService] = None, + num_dimensions: Optional[int] = None, + text_field: str = "text_field", + vector_field: str = "vector_field", + metadata_mappings: Optional[Dict[str, Any]] = None, + user_agent: str = f"elasticsearch-py-vs/{lib_version}", + ) -> None: + """ + :param user_header: user agent header specific to the 3rd party integration. + Used for usage tracking in Elastic Cloud. + :param index: The name of the index to query. + :param retrieval_strategy: how to index and search the data. See the strategies + module for available strategies. + :param text_field: Name of the field with the textual data. + :param vector_field: For strategies that perform embedding inference in Python, + the embedding vector goes in this field. + :param client: Elasticsearch client connection. Alternatively specify the + Elasticsearch connection with the other es_* parameters. + """ + # Add integration-specific usage header for tracking usage in Elastic Cloud. + # client.options preserves existing (non-user-agent) headers. + client = client.options(headers={"User-Agent": user_agent}) + + if hasattr(retrieval_strategy, "text_field"): + retrieval_strategy.text_field = text_field + if hasattr(retrieval_strategy, "vector_field"): + retrieval_strategy.vector_field = vector_field + + self.client = client + self.index = index + self.retrieval_strategy = retrieval_strategy + self.embedding_service = embedding_service + self.num_dimensions = num_dimensions + self.text_field = text_field + self.vector_field = vector_field + self.metadata_mappings = metadata_mappings + + async def close(self) -> None: + return await self.client.close() + + async def add_texts( + self, + texts: List[str], + *, + metadatas: Optional[List[Dict[str, Any]]] = None, + vectors: Optional[List[List[float]]] = None, + ids: Optional[List[str]] = None, + refresh_indices: bool = True, + create_index_if_not_exists: bool = True, + bulk_kwargs: Optional[Dict[str, Any]] = None, + ) -> List[str]: + """Add documents to the Elasticsearch index. + + :param texts: List of text documents. + :param metadata: Optional list of document metadata. Must be of same length as + texts. + :param vectors: Optional list of embedding vectors. Must be of same length as + texts. + :param ids: Optional list of ID strings. Must be of same length as texts. + :param refresh_indices: Whether to refresh the index after deleting documents. + Defaults to True. + :param create_index_if_not_exists: Whether to create the index if it does not + exist. Defaults to True. + :param bulk_kwargs: Arguments to pass to the bulk function when indexing + (for example chunk_size). + + :return: List of IDs of the created documents, either echoing the provided one + or returning newly created ones. + """ + bulk_kwargs = bulk_kwargs or {} + ids = ids or [str(uuid.uuid4()) for _ in texts] + requests = [] + + if create_index_if_not_exists: + await self._create_index_if_not_exists() + + if self.embedding_service and not vectors: + vectors = await self.embedding_service.embed_documents(texts) + + for i, text in enumerate(texts): + metadata = metadatas[i] if metadatas else {} + + request: Dict[str, Any] = { + "_op_type": "index", + "_index": self.index, + self.text_field: text, + "metadata": metadata, + "_id": ids[i], + } + + if vectors: + request[self.vector_field] = vectors[i] + + requests.append(request) + + if len(requests) > 0: + try: + success, failed = await async_bulk( + self.client, + requests, + stats_only=True, + refresh=refresh_indices, + **bulk_kwargs, + ) + logger.debug(f"added texts {ids} to index") + return ids + except BulkIndexError as e: + logger.error(f"Error adding texts: {e}") + firstError = e.errors[0].get("index", {}).get("error", {}) + logger.error(f"First error reason: {firstError.get('reason')}") + raise e + + else: + logger.debug("No texts to add to index") + return [] + + async def delete( # type: ignore[no-untyped-def] + self, + *, + ids: Optional[List[str]] = None, + query: Optional[Dict[str, Any]] = None, + refresh_indices: bool = True, + **delete_kwargs, + ) -> bool: + """Delete documents from the Elasticsearch index. + + :param ids: List of IDs of documents to delete. + :param refresh_indices: Whether to refresh the index after deleting documents. + Defaults to True. + + :return: True if deletion was successful. + """ + if ids is not None and query is not None: + raise ValueError("one of ids or query must be specified") + elif ids is None and query is None: + raise ValueError("either specify ids or query") + + try: + if ids: + body = [ + {"_op_type": "delete", "_index": self.index, "_id": _id} + for _id in ids + ] + await async_bulk( + self.client, + body, + refresh=refresh_indices, + ignore_status=404, + **delete_kwargs, + ) + logger.debug(f"Deleted {len(body)} texts from index") + + else: + await self.client.delete_by_query( + index=self.index, + query=query, + refresh=refresh_indices, + **delete_kwargs, + ) + + except BulkIndexError as e: + logger.error(f"Error deleting texts: {e}") + firstError = e.errors[0].get("index", {}).get("error", {}) + logger.error(f"First error reason: {firstError.get('reason')}") + raise e + + return True + + async def search( + self, + *, + query: Optional[str], + query_vector: Optional[List[float]] = None, + k: int = 4, + num_candidates: int = 50, + fields: Optional[List[str]] = None, + filter: Optional[List[Dict[str, Any]]] = None, + custom_query: Optional[ + Callable[[Dict[str, Any], Optional[str]], Dict[str, Any]] + ] = None, + ) -> List[Dict[str, Any]]: + """ + :param query: Input query string. + :param query_vector: Input embedding vector. If given, input query string is + ignored. + :param k: Number of returned results. + :param num_candidates: Number of candidates to fetch from data nodes in knn. + :param fields: List of field names to return. + :param filter: Elasticsearch filters to apply. + :param custom_query: Function to modify the Elasticsearch query body before it is + sent to Elasticsearch. + + :return: List of document hits. Includes _index, _id, _score and _source. + """ + if fields is None: + fields = [] + if "metadata" not in fields: + fields.append("metadata") + if self.text_field not in fields: + fields.append(self.text_field) + + if self.embedding_service and not query_vector: + if not query: + raise ValueError("specify a query or a query_vector to search") + query_vector = await self.embedding_service.embed_query(query) + + query_body = self.retrieval_strategy.es_query( + query=query, + query_vector=query_vector, + text_field=self.text_field, + vector_field=self.vector_field, + k=k, + num_candidates=num_candidates, + filter=filter or [], + ) + + if custom_query is not None: + query_body = custom_query(query_body, query) + logger.debug(f"Calling custom_query, Query body now: {query_body}") + + response = await self.client.search( + index=self.index, + **query_body, + size=k, + source=True, + source_includes=fields, + ) + hits: List[Dict[str, Any]] = response["hits"]["hits"] + + return hits + + async def _create_index_if_not_exists(self) -> None: + exists = await self.client.indices.exists(index=self.index) + if exists.meta.status == 200: + logger.debug(f"Index {self.index} already exists. Skipping creation.") + return + + if self.retrieval_strategy.needs_inference(): + if not self.num_dimensions and not self.embedding_service: + raise ValueError( + "retrieval strategy requires embeddings; either embedding_service " + "or num_dimensions need to be specified" + ) + if not self.num_dimensions and self.embedding_service: + vector = await self.embedding_service.embed_query("get num dimensions") + self.num_dimensions = len(vector) + + mappings, settings = self.retrieval_strategy.es_mappings_settings( + text_field=self.text_field, + vector_field=self.vector_field, + num_dimensions=self.num_dimensions, + ) + settings["analysis"] = {"analyzer": {"default": {"type": "ik_smart"}}} + if self.metadata_mappings: + metadata = mappings["properties"].get("metadata", {"properties": {}}) + for key in self.metadata_mappings.keys(): + if key in metadata: + raise ValueError(f"metadata key {key} already exists in mappings") + + metadata = dict(**metadata["properties"], **self.metadata_mappings) + mappings["properties"]["metadata"] = {"properties": metadata} + + await self.retrieval_strategy.before_index_creation( + client=self.client, + text_field=self.text_field, + vector_field=self.vector_field, + ) + await self.client.indices.create( + index=self.index, mappings=mappings, settings=settings + ) + + async def max_marginal_relevance_search( + self, + *, + embedding_service: AsyncEmbeddingService, + query: str, + vector_field: str, + k: int = 4, + num_candidates: int = 20, + lambda_mult: float = 0.5, + fields: Optional[List[str]] = None, + custom_query: Optional[ + Callable[[Dict[str, Any], Optional[str]], Dict[str, Any]] + ] = None, + ) -> List[Dict[str, Any]]: + """Return docs selected using the maximal marginal relevance. + + Maximal marginal relevance optimizes for similarity to query AND diversity + among selected documents. + + :param query (str): Text to look up documents similar to. + :param k (int): Number of Documents to return. Defaults to 4. + :param fetch_k (int): Number of Documents to fetch to pass to MMR algorithm. + :param lambda_mult (float): Number between 0 and 1 that determines the degree + of diversity among the results with 0 corresponding + to maximum diversity and 1 to minimum diversity. + Defaults to 0.5. + :param fields: Other fields to get from elasticsearch source. These fields + will be added to the document metadata. + + :return: A list of Documents selected by maximal marginal relevance. + """ + remove_vector_query_field_from_metadata = True + if fields is None: + fields = [vector_field] + elif vector_field not in fields: + fields.append(vector_field) + else: + remove_vector_query_field_from_metadata = False + + # Embed the query + query_embedding = await embedding_service.embed_query(query) + + # Fetch the initial documents + got_hits = await self.search( + query=None, + query_vector=query_embedding, + k=num_candidates, + fields=fields, + custom_query=custom_query, + ) + + # Get the embeddings for the fetched documents + got_embeddings = [hit["_source"][vector_field] for hit in got_hits] + + # Select documents using maximal marginal relevance + selected_indices = maximal_marginal_relevance( + query_embedding, got_embeddings, lambda_mult=lambda_mult, k=k + ) + selected_hits = [got_hits[i] for i in selected_indices] + + if remove_vector_query_field_from_metadata: + for hit in selected_hits: + del hit["_source"][vector_field] + + return selected_hits diff --git a/src/pai_rag/modules/retriever/my_elasticsearch_store.py b/src/pai_rag/modules/retriever/my_elasticsearch_store.py index 63205ccc..f716f651 100644 --- a/src/pai_rag/modules/retriever/my_elasticsearch_store.py +++ b/src/pai_rag/modules/retriever/my_elasticsearch_store.py @@ -19,7 +19,7 @@ metadata_dict_to_node, node_to_metadata_dict, ) -from elasticsearch.helpers.vectorstore import AsyncVectorStore +from pai_rag.modules.retriever.my_async_vector_store import AsyncVectorStore from elasticsearch.helpers.vectorstore import ( AsyncBM25Strategy, AsyncSparseVectorStrategy, diff --git a/src/pai_rag/modules/synthesizer/synthesizer.py b/src/pai_rag/modules/synthesizer/synthesizer.py index 0b848938..f2646d69 100644 --- a/src/pai_rag/modules/synthesizer/synthesizer.py +++ b/src/pai_rag/modules/synthesizer/synthesizer.py @@ -35,6 +35,7 @@ from llama_index.core.types import BasePydanticProgram from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG +from pai_rag.utils.prompt_template import DEFAULT_TEXT_QA_PROMPT_TMPL logger = logging.getLogger(__name__) @@ -47,7 +48,9 @@ def get_dependencies() -> List[str]: def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] llm = new_params["LlmModule"] - text_qa_template_str = config.get("text_qa_template", None) + text_qa_template_str = config.get( + "text_qa_template", DEFAULT_TEXT_QA_PROMPT_TMPL + ) text_qa_template = None if text_qa_template_str: text_qa_template = PromptTemplate(text_qa_template_str) @@ -131,7 +134,7 @@ def _create_response_synthesizer( # deprecated service_context=service_context, ) - elif response_mode == "Tree_summarize": + elif response_mode == "TreeSummarize": logger.info("TreeSummarize synthesizer used") return TreeSummarize( llm=llm, diff --git a/tests/modules/retriever/test_es_tokenizer.py b/tests/modules/retriever/test_es_tokenizer.py new file mode 100644 index 00000000..98b1265d --- /dev/null +++ b/tests/modules/retriever/test_es_tokenizer.py @@ -0,0 +1,101 @@ +import os +import pytest +from typing import List +from llama_index.core.schema import TextNode +from elasticsearch import Elasticsearch +from llama_index.core.vector_stores.types import ( + VectorStoreQuery, + VectorStoreQueryResult, +) +from pai_rag.modules.retriever.my_elasticsearch_store import MyElasticsearchStore + + +@pytest.fixture() +def es_connection(): + es = None + es_username = os.getenv("es_username") + es_password = os.getenv("es_password") + es_host = os.getenv("es_host") + es = Elasticsearch( + [{"host": es_host, "port": 9200, "scheme": "http"}], + basic_auth=(str(es_username), str(es_password)), + ) + + if es.ping(): + print("es_server connected") + else: + print("es_server not connected") + return es + + +@pytest.mark.skipif(os.getenv("es_username") is None, reason="no username") +def test_es_analyzer(es_connection: Elasticsearch): + """ + index: es_test1 uses the default tokenizer (standard) + index: es_test2 uses the specified tokenizer (ik_smart) with customized new_word dict and stopword dict + """ + es = es_connection + text = "健康码和一键助眠的功能" + + res1 = es.indices.analyze(index="es_test1", body={"text": text}) + res1_token = [i["token"] for i in res1["tokens"]] + assert res1_token == ["健", "康", "码", "和", "一", "键", "助", "眠", "的", "功", "能"] + + res2 = es.indices.analyze(index="es_test2", body={"text": text}) + res2_token = [i["token"] for i in res2["tokens"]] + assert res2_token == ["健康码", "和", "一键助眠", "功能"] + + +@pytest.mark.skipif(os.getenv("es_username") is None, reason="no username") +def test_es_search(es_connection: Elasticsearch): + es = es_connection + query_match_text = "一键助眠" + + res1 = es.search( + index="es_test1", query={"match": {"content": {"query": query_match_text}}} + ) + assert res1["hits"]["total"]["value"] == 39 + + res2 = es.search( + index="es_test2", query={"match": {"content": {"query": query_match_text}}} + ) + assert res2["hits"]["total"]["value"] == 6 + + +@pytest.fixture() +def es_store(): + index_name = "py_test" + es_host = os.getenv("es_host") + es_port = "9200" + es_user = os.getenv("es_username") + es_password = os.getenv("es_password") + + es_cloud = MyElasticsearchStore( + index_name=index_name, + es_url=f"http://{es_host}:{es_port}", + es_user=es_user, + es_password=es_password, + ) + + return es_cloud + + +@pytest.mark.skipif(os.getenv("es_username") is None, reason="no username") +def test_es_store_add_query(es_store: MyElasticsearchStore): + es_cloud = es_store + text1 = "健康码是疫情期间的一种发明" + text2 = "健康非常重要" + node1 = TextNode(text=text1, embedding=[0.1] * 1536, id_="n1") + node2 = TextNode(text=text2, embedding=[0.2] * 1536, id_="n2") + nodes = [node1, node2] + + res_add = es_cloud.add(nodes) + assert isinstance(res_add, List) is True + + vsq = VectorStoreQuery(query_embedding=[0.15] * 1536, query_str="健康码是什么") + res_query = es_cloud.query(vsq) + + es_cloud.close() + + assert isinstance(res_query, VectorStoreQueryResult) is True + assert res_query.nodes[0].text == text1 From 905ccd4285c3a2179e196fd121b6fc68255cffc2 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Mon, 1 Jul 2024 15:36:06 +0800 Subject: [PATCH 17/69] Add doc reference for rag query (#84) --- src/pai_rag/app/api/models.py | 14 +++++++------- src/pai_rag/app/web/rag_client.py | 9 +++++++++ src/pai_rag/core/rag_application.py | 18 ++++++++++++++++-- 3 files changed, 32 insertions(+), 9 deletions(-) diff --git a/src/pai_rag/app/api/models.py b/src/pai_rag/app/api/models.py index 62faf36e..e000c211 100644 --- a/src/pai_rag/app/api/models.py +++ b/src/pai_rag/app/api/models.py @@ -26,13 +26,6 @@ class RetrievalQuery(BaseModel): vector_db: VectorDbConfig | None = None -class RagResponse(BaseModel): - answer: str - session_id: str | None = None - # TODO - # context: List[str] | None = None - - class LlmResponse(BaseModel): answer: str session_id: str | None = None @@ -48,6 +41,13 @@ class RetrievalResponse(BaseModel): docs: List[ContextDoc] +class RagResponse(BaseModel): + answer: str + session_id: str | None = None + docs: List[ContextDoc] | None = None + new_query: str | None = None + + class DataInput(BaseModel): file_path: str enable_qa_extraction: bool = False diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index d1681c94..dbd1a2ed 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -53,6 +53,15 @@ def query(self, text: str, session_id: str = None): r = requests.post(self.query_url, json=q) r.raise_for_status() response = dotdict(json.loads(r.text)) + referenced_docs = "" + for i, doc in enumerate(response["docs"]): + referenced_docs += f'[{i+1}]: {doc["metadata"]["file_name"][33:]} Score:{doc["score"]} \n' + + if session_id: + formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + else: + formatted_text = f'**Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + response["answer"] = formatted_text return response def query_llm( diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 2532b679..0ef2ed26 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -111,8 +111,22 @@ async def aquery(self, query: RagQuery) -> RagResponse: session_id, query.chat_history ) response = await query_chat_engine.achat(query.question) - - return RagResponse(answer=response.response, session_id=session_id) + node_results = response.sources[0].raw_output.source_nodes + reference_docs = [ + ContextDoc( + text=score_node.node.get_content(), + metadata=score_node.node.metadata, + score=score_node.score, + ) + for score_node in node_results + ] + new_query = response.sources[0].raw_input["query"] + return RagResponse( + answer=response.response, + session_id=session_id, + docs=reference_docs, + new_query=new_query, + ) async def aquery_llm(self, query: LlmQuery) -> LlmResponse: """Query answer from LLM response asynchronously. From 1e7ba215d1118dbd16f77d617b0b73b2d4f3604e Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Tue, 2 Jul 2024 15:16:45 +0800 Subject: [PATCH 18/69] Support evaluation for generated and open datasets (#83) * Refactor evaluation module * add UI: eval_tab * support eval UI * tmp eval * remove eval web * Support evaluation * fix pytest * Add OpenDataSet class --------- Co-authored-by: ranxia --- README.md | 35 +++- README_zh.md | 75 ++------ pyproject.toml | 2 +- pyproject_gpu.toml | 2 +- src/pai_rag/app/api/query.py | 34 ++-- src/pai_rag/app/web/rag_client.py | 34 +++- src/pai_rag/app/web/tabs/chat_tab.py | 2 +- src/pai_rag/app/web/tabs/eval_tab.py | 106 +++++++++++ src/pai_rag/app/web/view_model.py | 86 +++++++++ src/pai_rag/app/web/webui.py | 18 +- src/pai_rag/core/rag_application.py | 39 ++-- src/pai_rag/core/rag_service.py | 10 +- src/pai_rag/data/open_dataset.py | 177 ++++++++++++++++++ src/pai_rag/data/rag_dataloader.py | 41 ++++ src/pai_rag/data/rag_datapipeline.py | 24 ++- src/pai_rag/evaluation/eval_pipeline.py | 69 +++++++ .../dataset_generation/generate_dataset.py | 117 ------------ .../generate_question_answer_pairs.py | 49 ----- src/pai_rag/modules/__init__.py | 2 + .../evaluation}/batch_eval_runner.py | 0 src/pai_rag/modules/evaluation/evaluation.py | 36 ++++ .../evaluation/pai_evaluator.py} | 170 ++++++++--------- .../evaluation}/ragdataset_generator.py | 136 +++++++++++++- src/pai_rag/modules/module_registry.py | 1 + tests/core/test_rag_application.py | 7 +- 25 files changed, 900 insertions(+), 372 deletions(-) create mode 100644 src/pai_rag/app/web/tabs/eval_tab.py create mode 100644 src/pai_rag/data/open_dataset.py create mode 100644 src/pai_rag/evaluation/eval_pipeline.py delete mode 100644 src/pai_rag/evaluations/dataset_generation/generate_dataset.py delete mode 100644 src/pai_rag/evaluations/dataset_generation/generate_question_answer_pairs.py rename src/pai_rag/{evaluations => modules/evaluation}/batch_eval_runner.py (100%) create mode 100644 src/pai_rag/modules/evaluation/evaluation.py rename src/pai_rag/{evaluations/batch_evaluator.py => modules/evaluation/pai_evaluator.py} (60%) rename src/pai_rag/{evaluations/dataset_generation => modules/evaluation}/ragdataset_generator.py (57%) diff --git a/README.md b/README.md index 13f94d53..1cbbd171 100644 --- a/README.md +++ b/README.md @@ -124,6 +124,15 @@ PAI-RAG is an easy-to-use opensource framework for modular RAG (Retrieval-Augmen You can also open http://127.0.0.1:8002/ to configure the RAG service and upload local data. +6. Evaluation (Beta Version) + +You can evaluate the effects of different stages of RAG system, such as retrieval, response and all. + +```bash +# Supports custom config file (default -c src/pai_rag/config/settings.yaml), overwrite (default False), type (default all) +evaluation [-c src/pai_rag/config/settings.yaml] [-o False] [-t retrieval] +``` + ## Run in Docker To make it easier to use and save time on environment installation, we also provide a method to start directly based on the image. @@ -183,7 +192,7 @@ curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: - get_upload_state ```bash -curl http://127.0.0.1:8077/service/get_upload_state\?task_id\=2c1e557733764fdb9fefa063538914da +curl http://127.0.0.1:8001/service/get_upload_state\?task_id\=2c1e557733764fdb9fefa063538914da # Return: {"task_id":"2c1e557733764fdb9fefa063538914da","status":"completed"} ``` @@ -226,7 +235,7 @@ curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application > Chat_history will be used to append and update the conversation history corresponding to the stored session_id > > ```bash -> curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"它有什么优势？", "chat_history": [{"user":"PAI是什么？", "bot":"PAI是阿里云的人工智能平台，它提供一站式的机器学习解决方案。这个平台支持各种机器学习任务，包括有监督学习、无监督学习和增强学习，适用于营销、金融、社交网络等多个场景。"}], "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' +> curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application/json" -d '{"question":"What are its advantages?", "chat_history": [{"user":"PAI是什么？", "bot":"PAI is Alibaba Cloud's artificial intelligence platform, which provides a one-stop machine learning solution. This platform supports various machine learning tasks, including supervised learning, unsupervised learning, and reinforcement learning, and is suitable for multiple scenarios such as marketing, finance, and social networks."}], "session_id": "1702ffxxad3xxx6fxxx97daf7c"}' > ``` - Agent And Function Tool @@ -235,6 +244,28 @@ curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"This year is 2024. What year was it 10 years ago?"}' ``` +## Evaluation API + +Supports three evaluation modes: full-link evaluation, retrieval stage evaluation, and generation stage evaluation. + +- /evaluate (all) +- /evaluate/retrieval +- /evaluate/response + +When called for the first time, an evaluation dataset (qa_dataset.json, which contains query, reference_contexts, reference_node_id, and reference_answer generated by LLM) will be automatically generated under localdata/evaluation/qa_dataset.json. At the same time, the evaluation process involves a large number of LLM calls, so it will take a long time. + +You can also call the API (/evaluate/generate) to generate the evaluation dataset. + +Examples: + +```bash +curl -X 'POST' http://127.0.0.1:8000/service/evaluate/generate + +curl -X 'POST' http://127.0.0.1:8000/service/evaluate +curl -X 'POST' http://127.0.0.1:8000/service/evaluate/retrieval +curl -X 'POST' http://127.0.0.1:8000/service/evaluate/response +``` + # Parameter Configuration For more customization options, please refer to the documentation: diff --git a/README_zh.md b/README_zh.md index 82fde963..fffd971a 100644 --- a/README_zh.md +++ b/README_zh.md @@ -124,6 +124,15 @@ PAI-RAG 是一个易于使用的模块化 RAG（检索增强生成）开源框 你也可以打开http://127.0.0.1:8002/ 来配置RAG服务以及上传本地数据。 +6. 评估 (调试) + +您可以评估RAG系统的不同阶段的效果，如检索、生成或者全链路。 + +```bash +# 支持自定义 config file (default -c src/pai_rag/config/settings.yaml), overwrite (default False), type (default all) +evaluation [-c src/pai_rag/config/settings.yaml] [-o False] [-t retrieval] +``` + ## 方式二：Docker镜像 为了更方便使用，节省较长时间的环境安装问题，我们也提供了直接基于镜像启动的方式。 @@ -217,74 +226,28 @@ curl -X 'POST' http://127.0.0.1:8000/service/query -H "Content-Type: application curl -X 'POST' http://127.0.0.1:8000/service/query/agent -H "Content-Type: application/json" -d '{"question":"今年是2024年，10年前是哪一年？"}' ``` - - # 参数配置 如需实现更多个性化配置，请参考文档： diff --git a/pyproject.toml b/pyproject.toml index 139f9dca..7730fede 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,7 +79,7 @@ gunicorn = "^22.0.0" pai_rag = "pai_rag.main:main" load_data = "pai_rag.data.rag_datapipeline:run" load_easyocr_model = "pai_rag.utils.download_easyocr_models:download_easyocr_models" -evaluation = "pai_rag.evaluations.batch_evaluator:run" +evaluation = "pai_rag.evaluation.eval_pipeline:run" [[tool.poetry.source]] name = "pytorch_cpu" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index d9652073..c5b63d9e 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -71,7 +71,7 @@ gunicorn = "^22.0.0" pai_rag = "pai_rag.main:main" load_data = "pai_rag.data.rag_datapipeline:run" load_easyocr_model = "pai_rag.utils.download_easyocr_models:download_easyocr_models" -evaluation = "pai_rag.evaluations.batch_evaluator:run" +evaluation = "pai_rag.evaluation.eval_pipeline:run" [tool.pytest.ini_options] asyncio_mode = "auto" diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index d2efa073..1247111e 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -65,34 +65,34 @@ def task_status(task_id: str): return {"task_id": task_id, "status": status} -@router.post("/evaluate/response") -def evaluate_reponse(): - eval_results = rag_service.evaluate_reponse() +@router.post("/evaluate") +async def batch_evaluate(overwrite: bool = False): + df, eval_results = await rag_service.aevaluate_retrieval_and_response( + type="all", overwrite=overwrite + ) return {"status": 200, "result": eval_results} -@router.post("/batch_evaluate/retrieval") -async def batch_retrieval_evaluate(): - df, eval_results = await rag_service.batch_evaluate_retrieval_and_response( - type="retrieval" +@router.post("/evaluate/retrieval") +async def batch_retrieval_evaluate(overwrite: bool = False): + df, eval_results = await rag_service.aevaluate_retrieval_and_response( + type="retrieval", overwrite=overwrite ) return {"status": 200, "result": eval_results} -@router.post("/batch_evaluate/response") -async def batch_response_evaluate(): - df, eval_results = await rag_service.batch_evaluate_retrieval_and_response( - type="response" +@router.post("/evaluate/response") +async def batch_response_evaluate(overwrite: bool = False): + df, eval_results = await rag_service.aevaluate_retrieval_and_response( + type="response", overwrite=overwrite ) return {"status": 200, "result": eval_results} -@router.post("/batch_evaluate") -async def batch_evaluate(): - df, eval_results = await rag_service.batch_evaluate_retrieval_and_response( - type="all" - ) - return {"status": 200, "result": eval_results} +@router.post("/evaluate/generate") +async def generate_qa_dataset(overwrite: bool = False): + qa_datase = await rag_service.aload_evaluation_qa_dataset(overwrite) + return {"status": 200, "result": qa_datase} @router.post("/upload_local_data") diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index dbd1a2ed..ea433a2d 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -22,7 +22,7 @@ def __init__(self): self.endpoint = "http://127.0.0.1:8000/" # default link def set_endpoint(self, endpoint: str): - self.endpoint = endpoint + self.endpoint = endpoint if endpoint.endswith("/") else f"{endpoint}/" @property def query_url(self): @@ -48,6 +48,18 @@ def load_data_url(self): def get_load_state_url(self): return f"{self.endpoint}service/get_upload_state" + @property + def get_evaluate_generate_url(self): + return f"{self.endpoint}service/evaluate/generate" + + @property + def get_evaluate_retrieval_url(self): + return f"{self.endpoint}service/evaluate/retrieval" + + @property + def get_evaluate_response_url(self): + return f"{self.endpoint}service/evaluate/response" + def query(self, text: str, session_id: str = None): q = dict(question=text, session_id=session_id) r = requests.post(self.query_url, json=q) @@ -139,5 +151,25 @@ def get_config(self): print(response) return response + def evaluate_for_generate_qa(self, overwrite): + r = requests.post( + self.get_evaluate_generate_url, params={"overwrite": overwrite} + ) + r.raise_for_status() + response = dotdict(json.loads(r.text)) + return response + + def evaluate_for_retrieval_stage(self): + r = requests.post(self.get_evaluate_retrieval_url) + r.raise_for_status() + response = dotdict(json.loads(r.text)) + return response + + def evaluate_for_response_stage(self): + r = requests.post(self.get_evaluate_response_url) + r.raise_for_status() + response = dotdict(json.loads(r.text)) + print("evaluate_for_response_stage response", response) + rag_client = RagWebClient() diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index bbc9b184..dc3bb879 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -226,7 +226,7 @@ def change_query_radio(query_type): respond, chat_args, [question, chatbot, cur_tokens], - api_name="respond", + api_name="respond_clk", ) question.submit( respond, diff --git a/src/pai_rag/app/web/tabs/eval_tab.py b/src/pai_rag/app/web/tabs/eval_tab.py new file mode 100644 index 00000000..b8c33ab8 --- /dev/null +++ b/src/pai_rag/app/web/tabs/eval_tab.py @@ -0,0 +1,106 @@ +import os +from typing import Dict, Any +import gradio as gr +from pai_rag.app.web.rag_client import rag_client +import tempfile +import json +import pandas as pd +from datetime import datetime + + +def generate_and_download_qa_file(overwrite): + tmpdir = tempfile.mkdtemp() + qa_content = rag_client.evaluate_for_generate_qa(bool(overwrite)) + outputPath = os.path.join(tmpdir, "qa_dataset_output.json") + with open(outputPath, "w", encoding="utf-8") as f: + json.dump(qa_content, f, ensure_ascii=False, indent=4) + return outputPath, qa_content["result"]["examples"][0:5] + + +def eval_retrieval_stage(): + retrieval_res = rag_client.evaluate_for_retrieval_stage() + formatted_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + pd_results = { + "Metrics": ["HitRate", "MRR", "LastModified"], + "Value": [ + retrieval_res["result"]["hit_rate_mean"], + retrieval_res["result"]["mrr_mean"], + formatted_time, + ], + } + return pd.DataFrame(pd_results) + + +def eval_response_stage(): + response_res = rag_client.evaluate_for_response_stage() + formatted_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") + pd_results = { + "Metrics": ["Faithfulness", "Correctness", "Similarity", "LastModified"], + "Value": [ + response_res["result"]["faithfulness_mean"], + response_res["result"]["correctness_mean"], + response_res["result"]["similarity_mean"], + formatted_time, + ], + } + return pd.DataFrame(pd_results) + + +def create_evaluation_tab() -> Dict[str, Any]: + with gr.Row(): + with gr.Column(scale=2): + generate_btn = gr.Button( + "Generate QA Dataset", variant="primary", elem_id="generate_btn" + ) + overwrite_qa = gr.Checkbox( + label="Overwrite QA (If the index has changed, regenerate and overwrite the existing QA dataset.)", + elem_id="overwrite_qa", + value=False, + ) + qa_dataset_file = gr.components.File( + label="QA Dadaset Results", + elem_id="qa_dataset_file", + ) + qa_dataset_json_text = gr.JSON( + label="Displaying QA Dataset Results: Only the first 5 records are shown here. For a complete view, please download the file.", + scale=1, + elem_id="qa_dataset_json_text", + ) + + generate_btn.click( + fn=generate_and_download_qa_file, + inputs=overwrite_qa, + outputs=[qa_dataset_file, qa_dataset_json_text], + ) + + with gr.Column(scale=2): + eval_retrieval_btn = gr.Button( + "Evaluate Retrieval Stage", + variant="primary", + elem_id="eval_retrieval_btn", + ) + eval_retrieval_res = gr.DataFrame( + label="\N{rocket} Evaluation Resultes for Retrieval ", + elem_id="eval_retrieval_res", + ) + eval_retrieval_btn.click( + fn=eval_retrieval_stage, outputs=eval_retrieval_res + ) + + eval_response_btn = gr.Button( + "Evaluate Response Stage", + variant="primary", + elem_id="eval_response_btn", + ) + eval_response_res = gr.DataFrame( + label="\N{rocket} Evaluation Resultes for Response ", + elem_id="eval_response_res", + ) + eval_response_btn.click(fn=eval_response_stage, outputs=eval_response_res) + + return { + qa_dataset_file.elem_id: qa_dataset_file, + qa_dataset_json_text.elem_id: qa_dataset_json_text, + eval_retrieval_res.elem_id: eval_retrieval_res, + eval_response_res.elem_id: eval_response_res, + } diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index 486d62fa..67b6966d 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -8,6 +8,11 @@ LLM_MODEL_KEY_DICT, PROMPT_MAP, ) +import pandas as pd +import os +from datetime import datetime +import tempfile +import json def recursive_dict(): @@ -340,6 +345,75 @@ def to_app_config(self): return _transform_to_dict(config) + def get_local_generated_qa_file(self): + DEFALUT_EVAL_PATH = "localdata/evaluation" + qa_dataset_path = os.path.join(DEFALUT_EVAL_PATH, "qa_dataset.json") + if os.path.exists(qa_dataset_path): + tmpdir = tempfile.mkdtemp() + with open(qa_dataset_path, "r", encoding="utf-8") as file: + qa_content = json.load(file) + outputPath = os.path.join(tmpdir, "qa_dataset.json") + with open(outputPath, "w", encoding="utf-8") as f: + json.dump(qa_content, f, ensure_ascii=False, indent=4) + return outputPath, qa_content["examples"][0:5] + else: + return None, None + + def get_local_evaluation_result_file(self, type): + DEFALUT_EVAL_PATH = "localdata/evaluation" + output_path = os.path.join(DEFALUT_EVAL_PATH, f"batch_eval_results_{type}.xlsx") + if type == "retrieval": + if os.path.exists(output_path): + modification_time = os.path.getmtime(output_path) + formatted_time = datetime.fromtimestamp(modification_time).strftime( + "%Y-%m-%d %H:%M:%S" + ) + df = pd.read_excel(output_path) + retrieval_pd_results = { + "Metrics": ["HitRate", "MRR", "LastModified"], + "Value": [df["hit_rate"].mean(), df["mrr"].mean(), formatted_time], + } + else: + retrieval_pd_results = { + "Metrics": ["HitRate", "MRR", "LastModified"], + "Value": [None, None, None], + } + return pd.DataFrame(retrieval_pd_results) + elif type == "response": + if os.path.exists(output_path): + modification_time = os.path.getmtime(output_path) + formatted_time = datetime.fromtimestamp(modification_time).strftime( + "%Y-%m-%d %H:%M:%S" + ) + df = pd.read_excel(output_path) + response_pd_results = { + "Metrics": [ + "Faithfulness", + "Correctness", + "SemanticSimilarity", + "LastModified", + ], + "Value": [ + df["faithfulness_score"].mean(), + df["correctness_score"].mean(), + df["semantic_similarity_score"].mean(), + formatted_time, + ], + } + else: + response_pd_results = { + "Metrics": [ + "Faithfulness", + "Correctness", + "SemanticSimilarity", + "LastModified", + ], + "Value": [None, None, None, None], + } + return pd.DataFrame(response_pd_results) + else: + raise ValueError(f"Not supported the evaluation type {type}") + def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings = {} settings["embed_source"] = {"value": self.embed_source} @@ -411,4 +485,16 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: # faiss settings["faiss_path"] = {"value": self.faiss_path} + # evaluation + if self.vectordb_type == "FAISS": + qa_dataset_path, qa_dataset_res = self.get_local_generated_qa_file() + settings["qa_dataset_file"] = {"value": qa_dataset_path} + settings["qa_dataset_json_text"] = {"value": qa_dataset_res} + settings["eval_retrieval_res"] = { + "value": self.get_local_evaluation_result_file(type="retrieval") + } + settings["eval_response_res"] = { + "value": self.get_local_evaluation_result_file(type="response") + } + return settings diff --git a/src/pai_rag/app/web/webui.py b/src/pai_rag/app/web/webui.py index 27e67b7a..5d811b49 100644 --- a/src/pai_rag/app/web/webui.py +++ b/src/pai_rag/app/web/webui.py @@ -25,11 +25,15 @@ def resume_ui(): for elem in elem_manager.get_elem_list(): elem_id = elem.elem_id - elem_attr = component_settings[elem_id] - elem = elem_manager.get_elem_by_id(elem_id=elem_id) - - # For gradio version 3.41.0, we can remove .value for latest gradio here. - outputs[elem] = elem.__class__(**elem_attr).value + if elem_id in component_settings.keys(): + elem_attr = component_settings[elem_id] + elem = elem_manager.get_elem_by_id(elem_id=elem_id) + # For gradio version 3.41.0, we can remove .value for latest gradio here. + outputs[elem] = elem.__class__(**elem_attr).value + # if elem_id == "qa_dataset_file": + # outputs[elem] = elem_attr["value"] + # else: + # outputs[elem] = elem.__class__(**elem_attr).value return outputs @@ -47,6 +51,10 @@ def make_homepage(): with gr.Tab("\N{fire} Chat"): chat_elements = create_chat_tab() elem_manager.add_elems(chat_elements) + # with gr.Tab("\N{rocket} Evaluation"): + # eval_elements = create_evaluation_tab() + # elem_manager.add_elems(eval_elements) + homepage.load( resume_ui, outputs=elem_manager.get_elem_list(), concurrency_limit=None ) diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 0ef2ed26..367ddcf7 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -1,5 +1,4 @@ from pai_rag.modules.module_registry import module_registry -from pai_rag.evaluations.batch_evaluator import BatchEvaluator from pai_rag.app.api.models import ( RagQuery, LlmQuery, @@ -175,16 +174,34 @@ async def aquery_agent(self, query: LlmQuery) -> LlmResponse: response = await agent.achat(query.question) return LlmResponse(answer=response.response) - async def batch_evaluate_retrieval_and_response(self, type): - retriever = module_registry.get_module_with_config( - "RetrieverModule", self.config + async def aload_evaluation_qa_dataset(self, overwrite: bool = False): + vector_store_type = ( + self.config.get("index").get("vector_store").get("type", None) ) - query_engine = module_registry.get_module_with_config( - "QueryEngineModule", self.config - ) - batch_eval = BatchEvaluator(self.config, retriever, query_engine) - df, eval_res_avg = await batch_eval.batch_retrieval_response_aevaluation( - type=type, workers=2, save_to_file=True + if vector_store_type == "FAISS": + evaluation = module_registry.get_module_with_config( + "EvaluationModule", self.config + ) + qa_dataset = await evaluation.aload_question_answer_pairs_json(overwrite) + return qa_dataset + else: + return f"Evaluation against vector store '{vector_store_type}' is not supported. Only FAISS is supported for now." + + async def aevaluate_retrieval_and_response(self, type, overwrite: bool = False): + vector_store_type = ( + self.config.get("index").get("vector_store").get("type", None) ) + if vector_store_type == "FAISS": + evaluation = module_registry.get_module_with_config( + "EvaluationModule", self.config + ) + df, eval_res_avg = await evaluation.abatch_retrieval_response_aevaluation( + type=type, workers=4, overwrite=overwrite + ) - return df, eval_res_avg + return df, eval_res_avg + else: + return ( + None, + f"Evaluation against vector store '{vector_store_type}' is not supported. Only FAISS is supported for now.", + ) diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index dbdb3c22..b8c50f44 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -133,9 +133,13 @@ async def aquery_agent(self, query: LlmQuery) -> LlmResponse: self.check_updates() return await self.rag.aquery_agent(query) - async def batch_evaluate_retrieval_and_response(self, type): - self.check_updates() - return await self.rag.batch_evaluate_retrieval_and_response(type) + async def aload_evaluation_qa_dataset(self, overwrite: bool = False): + return await self.rag.aload_evaluation_qa_dataset(overwrite) + + async def aevaluate_retrieval_and_response( + self, type: str = "all", overwrite: bool = False + ): + return await self.rag.aevaluate_retrieval_and_response(type, overwrite) rag_service = RagService() diff --git a/src/pai_rag/data/open_dataset.py b/src/pai_rag/data/open_dataset.py new file mode 100644 index 00000000..33a86716 --- /dev/null +++ b/src/pai_rag/data/open_dataset.py @@ -0,0 +1,177 @@ +from abc import ABC, abstractmethod +from collections import defaultdict +import os +import gzip +import json +import urllib.request +import tarfile + +DEFAULT_DATASET_DIR = "datasets" + + +class OpenDataSet(ABC): + @abstractmethod + def load_qrels(self, type: str): + """加载评测文件 + :param type: 要加载的数据集的类型 [train, dev, test] + """ + pass + + @abstractmethod + def load_topic(self, type: str): + """加载主题文件 + :param type: 要加载的数据集的类型 [train, dev, test] + """ + pass + + @abstractmethod + def load_related_corpus(self): + """加载语料库相关文件""" + pass + + +class MiraclOpenDataSet(OpenDataSet): + def __init__( + self, dataset_path: str = None, corpus_path: str = None, lang: str = "zh" + ): + self.dataset_path = dataset_path or os.path.join(DEFAULT_DATASET_DIR, "miracl") + self.corpus_path = corpus_path or os.path.join( + DEFAULT_DATASET_DIR, "miracl-corpus" + ) + self.lang = lang + if not os.path.exists(self.dataset_path): + dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/small_test/miracl.tar.gz" + file_path = os.path.join(DEFAULT_DATASET_DIR, "miracl.tar.gz") + self._extract_and_download_dataset( + dataset_url, file_path, self.dataset_path + ) + else: + print( + f"[MiraclOpenDataSet] Dataset file already exists at {self.dataset_path}." + ) + if not os.path.exists(self.corpus_path): + dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/small_test/miracl-corpus.tar.gz" + file_path = os.path.join(DEFAULT_DATASET_DIR, "miracl-corpus.tar.gz") + self._extract_and_download_dataset(dataset_url, file_path, self.corpus_path) + else: + print( + f"[MiraclOpenDataSet] Corpus file already exists at {self.corpus_path}." + ) + + def _extract_and_download_dataset(self, url, file_path, extract_path): + file_path_dir = os.path.dirname(file_path) + if not os.path.exists(file_path_dir): + os.makedirs(file_path_dir) + with urllib.request.urlopen(url) as response, open(file_path, "wb") as out_file: + print(f"[MiraclOpenDataSet] Start downloading file {file_path} from {url}.") + data = response.read() + out_file.write(data) + print("[MiraclOpenDataSet] Finish downloading.") + if not os.path.exists(extract_path): + os.makedirs(extract_path) + with tarfile.open(file_path, "r:gz") as tar: + print( + f"[MiraclOpenDataSet] Start extracting file {file_path} to {extract_path}." + ) + tar.extractall(path=extract_path) + print("[MiraclOpenDataSet] Finish extracting.") + + def load_qrels(self, type: str): + file = f"{self.dataset_path}/miracl/miracl-v1.0-{self.lang}/qrels/qrels.miracl-v1.0-{self.lang}-{type}.tsv" + print( + f"[MiraclOpenDataSet] Loading qrels for MiraclDataSet with type {type} from {file}..." + ) + qrels = defaultdict(dict) + docids = set() + with open(file, encoding="utf-8") as f: + for line in f: + qid, _, docid, rel = line.strip().split("\t") + qrels[qid][docid] = int(rel) + docids.add(docid) + print( + f"[MiraclOpenDataSet] Loaded qrels {len(qrels)}, docids {len(docids)} with type {type}" + ) + return qrels, docids + + def load_topic(self, type: str): + file = f"{self.dataset_path}/miracl/miracl-v1.0-{self.lang}/topics/topics.miracl-v1.0-{self.lang}-{type}.tsv" + print( + f"[MiraclOpenDataSet] Loading topic for MiraclDataSet with type {type} from {file}..." + ) + qid2topic = {} + with open(file, encoding="utf-8") as f: + for line in f: + qid, topic = line.strip().split("\t") + qid2topic[qid] = topic + print(f"[MiraclOpenDataSet] Loaded qid2topic {len(qid2topic)} with type {type}") + return qid2topic + + def load_related_corpus(self): + corpus_dir = f"{self.corpus_path}/miracl-corpus/miracl-corpus-v1.0-zh" + docid2doc = {} + + nodes = set() + for dirpath, _, filenames in os.walk(corpus_dir): + for filename in filenames: + file_path = os.path.join(dirpath, filename) + with gzip.open(file_path, "rt", encoding="utf-8") as f: + for line in f: + json_obj = json.loads(line) + nodes.add( + ( + json_obj["docid"], + json_obj["text"], + json_obj["title"], + file_path, + ) + ) + docid2doc[json_obj["docid"]] = json_obj["text"] + print( + f"[MiraclOpenDataSet] Loaded nodes {len(nodes)} from file_path {file_path}" + ) + + print(f"[MiraclOpenDataSet] Loaded all nodes {len(nodes)}") + return nodes, docid2doc + + def load_related_corpus_for_type(self, type: str): + corpus_dir = f"{self.corpus_path}/miracl-corpus/miracl-corpus-v1.0-zh" + _, docids = self.load_qrels(type=type) + docid2doc = {} + + nodes = set() + for dirpath, _, filenames in os.walk(corpus_dir): + for filename in filenames: + file_path = os.path.join(dirpath, filename) + with gzip.open(file_path, "rt", encoding="utf-8") as f: + for line in f: + json_obj = json.loads(line) + if json_obj["docid"] in docids: + nodes.add( + ( + json_obj["docid"], + json_obj["text"], + json_obj["title"], + file_path, + ) + ) + docid2doc[json_obj["docid"]] = json_obj["text"] + print( + f"[MiraclOpenDataSet] Loaded nodes {len(nodes)} with type {type} from file_path {file_path}" + ) + + print(f"[MiraclOpenDataSet] Loaded all nodes {len(nodes)} with type {type}") + return nodes, docid2doc + + +class DureaderDataSet(OpenDataSet): + def load_qrels(self, type: str): + # DureaderDataSet 的 load_qrels 实现 + print("Loading qrels for DureaderDataSet...") + + def load_topic(self, type: str): + # DureaderDataSet 的 load_topic 实现 + print("Loading topic for DureaderDataSet...") + + def load_related_corpus(self): + # DureaderDataSet 的 load_related_corpus 实现 + print("Loading related docs for dev for DureaderDataSet...") diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index ee5775a0..4e57125f 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -11,6 +11,7 @@ from pai_rag.integrations.extractors.html_qa_extractor import HtmlQAExtractor from pai_rag.integrations.extractors.text_qa_extractor import TextQAExtractor from pai_rag.modules.nodeparser.node_parser import node_id_hash +from pai_rag.data.open_dataset import MiraclOpenDataSet import logging @@ -130,6 +131,46 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): logger.info(f"Inserted {len(nodes)} nodes successfully.") return + async def aload_eval_data(self, name: str): + logger.info("[DataReader-Evaluation Dataset]") + if name == "miracl": + miracl_dataset = MiraclOpenDataSet() + miracl_nodes, _ = miracl_dataset.load_related_corpus() + nodes = [] + for node in miracl_nodes: + node_metadata = { + "title": node[2], + "file_path": node[3], + } + nodes.append( + TextNode(id_=node[0], text=node[1], metadata=node_metadata) + ) + + print(f"[DataReader-Evaluation Dataset] Split into {len(nodes)} nodes.") + + print("[DataReader-Evaluation Dataset] Start inserting to index.") + + await self.index.vector_index.insert_nodes_async(nodes) + self.index.vector_index.storage_context.persist( + persist_dir=self.index.persist_path + ) + + index_metadata_file = os.path.join( + self.index.persist_path, "index.metadata" + ) + if self.bm25_index: + self.bm25_index.add_docs(nodes) + metadata_str = json.dumps({"lastUpdated": f"{datetime.datetime.now()}"}) + with open(index_metadata_file, "w") as wf: + wf.write(metadata_str) + + print( + f"[DataReader-Evaluation Dataset] Inserted {len(nodes)} nodes successfully." + ) + return + else: + raise ValueError(f"Not supported eval dataset name with {name}") + nest_asyncio.apply() # 应用嵌套补丁到事件循环 def load(self, file_directory: str, enable_qa_extraction: bool): diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 3029d27e..4e70acb5 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -13,8 +13,13 @@ class RagDataPipeline: def __init__(self, data_loader): self.data_loader = data_loader - async def ingest_from_folder(self, folder_path: str, enable_qa_extraction: bool): - await self.data_loader.aload(folder_path, enable_qa_extraction) + async def ingest_from_folder( + self, folder_path: str, enable_qa_extraction: bool, name: str = None + ): + if not name: + await self.data_loader.aload(folder_path, enable_qa_extraction) + else: + await self.data_loader.aload_eval_data(name) def __init_data_pipeline(config_file, use_local_qa_model): @@ -33,7 +38,9 @@ def __init_data_pipeline(config_file, use_local_qa_model): help=f"Configuration file. Default: {DEFAULT_APPLICATION_CONFIG_FILE}", default=DEFAULT_APPLICATION_CONFIG_FILE, ) -@click.option("-d", "--directory", required=True, help="directory path to ingest.") +@click.option( + "-d", "--directory", required=False, default=None, help="directory path to ingest." +) @click.option( "-q", "--extract-qa", @@ -52,6 +59,13 @@ def __init_data_pipeline(config_file, use_local_qa_model): default=False, help="use local qa extraction model.", ) -def run(config, directory, extract_qa, use_local_qa_model): +@click.option( + "-n", + "--name", + show_default=True, + help="Open Dataset Name. Optional: [miracl]", + default=None, +) +def run(config, directory, extract_qa, use_local_qa_model, name): data_pipeline = __init_data_pipeline(config, use_local_qa_model) - asyncio.run(data_pipeline.ingest_from_folder(directory, extract_qa)) + asyncio.run(data_pipeline.ingest_from_folder(directory, extract_qa, name)) diff --git a/src/pai_rag/evaluation/eval_pipeline.py b/src/pai_rag/evaluation/eval_pipeline.py new file mode 100644 index 00000000..778e7213 --- /dev/null +++ b/src/pai_rag/evaluation/eval_pipeline.py @@ -0,0 +1,69 @@ +import asyncio +import click +import os +from pathlib import Path +from pai_rag.core.rag_configuration import RagConfiguration +from pai_rag.modules.module_registry import module_registry + +_BASE_DIR = Path(__file__).parent +DEFAULT_APPLICATION_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") + + +class EvalDatasetPipeline: + def __init__(self, evaluation): + self.evaluation = evaluation + + async def eval_open_dataset(self, overwrite: bool, type: str, dataset_name: None): + _ = await self.evaluation.aload_question_answer_pairs_json( + overwrite, dataset_name + ) + df, eval_res_avg = await self.evaluation.abatch_retrieval_response_aevaluation( + type=type, workers=4, overwrite=overwrite + ) + print("eval_res_avg", eval_res_avg) + return df, eval_res_avg + + +def __init_eval_pipeline(config_file): + config = RagConfiguration.from_file(config_file).get_value() + module_registry.init_modules(config) + evaluation = module_registry.get_module_with_config("EvaluationModule", config) + return EvalDatasetPipeline(evaluation) + + +@click.command() +@click.option( + "-c", + "--config", + show_default=True, + help=f"Configuration file. Default: {DEFAULT_APPLICATION_CONFIG_FILE}", + default=DEFAULT_APPLICATION_CONFIG_FILE, +) +@click.option( + "-o", + "--overwrite", + show_default=True, + help="Whether to overwrite the generated QA file", + default=False, +) +@click.option( + "-t", + "--type", + show_default=True, + help="Evaluation types in [all, retrieval, response]", + default="all", +) +@click.option( + "-n", + "--name", + show_default=True, + help="Open Dataset Name. Optional: [miracl]", + default=None, +) +def run(config, overwrite, type, name): + eval_pipeline = __init_eval_pipeline(config) + asyncio.run( + eval_pipeline.eval_open_dataset( + overwrite=overwrite, type=type, dataset_name=name + ) + ) diff --git a/src/pai_rag/evaluations/dataset_generation/generate_dataset.py b/src/pai_rag/evaluations/dataset_generation/generate_dataset.py deleted file mode 100644 index 02b43e60..00000000 --- a/src/pai_rag/evaluations/dataset_generation/generate_dataset.py +++ /dev/null @@ -1,117 +0,0 @@ -import logging -import os -from pathlib import Path -from pai_rag.core.rag_configuration import RagConfiguration -from pai_rag.modules.module_registry import module_registry -from llama_index.core.prompts.prompt_type import PromptType - -# from llama_index.core.llama_dataset.generator import RagDatasetGenerator -from pai_rag.evaluations.dataset_generation.ragdataset_generator import ( - ModifiedRagDatasetGenerator, -) -from llama_index.core.llama_dataset import LabelledRagDataset -from llama_index.core.prompts.base import PromptTemplate -from typing import Optional -from pai_rag.utils.prompt_template import ( - DEFAULT_QUESTION_GENERATION_PROMPT, - DEFAULT_TEXT_QA_PROMPT_TMPL, - DEFAULT_QUESTION_GENERATION_QUERY, -) - -import json - -_BASE_DIR = Path(__file__).parent.parent.parent -DEFAULT_EVAL_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") -DEFAULT_EVAL_DATA_FOLDER = "tests/testdata/paul_graham" - - -class GenerateDatasetPipeline(ModifiedRagDatasetGenerator): - def __init__( - self, - text_question_template_str: Optional[str] = DEFAULT_QUESTION_GENERATION_PROMPT, - text_qa_template_str: Optional[str] = DEFAULT_TEXT_QA_PROMPT_TMPL, - question_gen_query: Optional[str] = DEFAULT_QUESTION_GENERATION_QUERY, - num_questions_per_chunk: int = 1, - show_progress: Optional[bool] = True, - ) -> None: - self.name = "GenerateDatasetPipeline" - self.config = RagConfiguration.from_file(DEFAULT_EVAL_CONFIG_FILE).get_value() - - # load nodes - module_registry.init_modules(self.config) - datareader_factory = module_registry.get_module_with_config( - "DataReaderFactoryModule", self.config - ) - self.node_parser = module_registry.get_module_with_config( - "NodeParserModule", self.config - ) - reader = datareader_factory.get_reader(DEFAULT_EVAL_DATA_FOLDER) - docs = reader.load_data() - self.nodes = self.node_parser.get_nodes_from_documents(docs) - - self.num_questions_per_chunk = num_questions_per_chunk - self.llm = module_registry.get_module_with_config("LlmModule", self.config) - self.text_question_template = PromptTemplate(text_question_template_str) - self.text_qa_template = PromptTemplate( - text_qa_template_str, prompt_type=PromptType.QUESTION_ANSWER - ) - self.question_gen_query = question_gen_query.format( - num_questions_per_chunk=self.num_questions_per_chunk - ) - self.show_progress = show_progress - self.is_test_run = os.getenv("IS_PAI_RAG_CI_TEST") == "true" - if self.is_test_run: - self.nodes = self.nodes[:1] # Only - - logging.info("dataset generation initialized successfully.") - - def generate_dataset(self) -> LabelledRagDataset: - dataset_generator = ModifiedRagDatasetGenerator( - nodes=self.nodes, - llm=self.llm, - num_questions_per_chunk=self.num_questions_per_chunk, - text_question_template=self.text_question_template, - text_qa_template=self.text_qa_template, - question_gen_query=self.question_gen_query, - show_progress=self.show_progress, - ) - - qas = dataset_generator.generate_dataset_from_nodes() - logging.info("dataset generation completed.") - return qas - - async def agenerate_dataset(self) -> LabelledRagDataset: - dataset_generator = ModifiedRagDatasetGenerator( - nodes=self.nodes, - llm=self.llm, - num_questions_per_chunk=self.num_questions_per_chunk, - text_question_template=self.text_question_template, - text_qa_template=self.text_qa_template, - question_gen_query=self.question_gen_query, - show_progress=self.show_progress, - ) - qas = await dataset_generator.agenerate_dataset_from_nodes() - logging.info("dataset generation completed.") - return qas - - def save_json(self, qas: LabelledRagDataset, path: str) -> None: - """Save json.""" - with open(path, "w", encoding="utf-8") as f: - json.dump(qas.dict(), f, indent=4, ensure_ascii=False) - - @classmethod - def from_json(cls, path: str) -> LabelledRagDataset: - """Load json.""" - with open(path, encoding="utf-8") as f: - data = json.load(f) - return data - - -if __name__ == "__main__": - config = RagConfiguration.from_file("dummy_path").get_value() - module_registry.init_modules(config) - pipeline = GenerateDatasetPipeline() - qas = pipeline.generate_dataset() - print("nodes_id:", [node.node_id for node in pipeline.nodes[0:2]]) - save_file_path = "data/qa_dataset_tmp.json" - pipeline.save_json(qas, save_file_path) diff --git a/src/pai_rag/evaluations/dataset_generation/generate_question_answer_pairs.py b/src/pai_rag/evaluations/dataset_generation/generate_question_answer_pairs.py deleted file mode 100644 index 8954c129..00000000 --- a/src/pai_rag/evaluations/dataset_generation/generate_question_answer_pairs.py +++ /dev/null @@ -1,49 +0,0 @@ -import os -import json -import logging -from llama_index.core.llama_dataset import LabelledRagDataset -from pai_rag.evaluations.dataset_generation.generate_dataset import ( - GenerateDatasetPipeline, -) - -logger = logging.getLogger(__name__) - - -async def customized_generate_qas(path): - pipeline = GenerateDatasetPipeline() - qas = await pipeline.agenerate_dataset() - pipeline.save_json(qas, path) - - -async def load_question_answer_pairs(path): - if not os.path.exists(path): - logger.info("[Response Evaluation] qa_dataset not exists, generating... ") - directory = os.path.dirname(path) - if not os.path.exists(directory): - os.makedirs(directory, exist_ok=True) - await customized_generate_qas(path) - logger.info( - f"[Response Evaluation] loading generated qa_dataset from path {path}. " - ) - qa_dataset = LabelledRagDataset.from_json(path) - return qa_dataset - - -async def load_question_answer_pairs_json(path, overwrite): - file_exists = os.path.exists(path) - if file_exists and not overwrite: - logger.info( - f"[Evaluation] qa_dataset '{path}' already exists, do not need to regenerate and overwrite." - ) - else: - logger.info( - f"[Evaluation] qa_dataset '{path}' (re)generating and overwriting..." - ) - directory = os.path.dirname(path) - if not os.path.exists(directory): - os.makedirs(directory, exist_ok=True) - await customized_generate_qas(path) - logger.info(f"[Evaluation] loading generated qa_dataset from path {path}. ") - with open(path) as f: - qa_dataset = json.load(f) - return qa_dataset diff --git a/src/pai_rag/modules/__init__.py b/src/pai_rag/modules/__init__.py index 6ed43d52..1f85635f 100644 --- a/src/pai_rag/modules/__init__.py +++ b/src/pai_rag/modules/__init__.py @@ -14,6 +14,7 @@ from pai_rag.modules.agent.agent import AgentModule from pai_rag.modules.tool.tool import ToolModule from pai_rag.modules.cache.oss_cache import OssCacheModule +from pai_rag.modules.evaluation.evaluation import EvaluationModule from pai_rag.modules.index.bm25_index import BM25IndexModule @@ -34,6 +35,7 @@ "AgentModule", "ToolModule", "OssCacheModule", + "EvaluationModule", "BM25IndexModule", ] diff --git a/src/pai_rag/evaluations/batch_eval_runner.py b/src/pai_rag/modules/evaluation/batch_eval_runner.py similarity index 100% rename from src/pai_rag/evaluations/batch_eval_runner.py rename to src/pai_rag/modules/evaluation/batch_eval_runner.py diff --git a/src/pai_rag/modules/evaluation/evaluation.py b/src/pai_rag/modules/evaluation/evaluation.py new file mode 100644 index 00000000..6fbe90dc --- /dev/null +++ b/src/pai_rag/modules/evaluation/evaluation.py @@ -0,0 +1,36 @@ +from typing import Dict, List, Any +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.modules.evaluation.pai_evaluator import PaiEvaluator +from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG + + +class EvaluationModule(ConfigurableModule): + """Class for managing indices. + + RagIndex to manage vector indices for RagApplication. + When initializing, the index is empty or load from existing index. + User can add nodes to index when needed. + """ + + @staticmethod + def get_dependencies() -> List[str]: + return ["LlmModule", "IndexModule", "RetrieverModule", "QueryEngineModule"] + + def _create_new_instance(self, new_params: Dict[str, Any]): + config = new_params[MODULE_PARAM_CONFIG] + llm = new_params["LlmModule"] + index = new_params["IndexModule"] + retriever = new_params["RetrieverModule"] + query_engine = new_params["QueryEngineModule"] + + retrieval_metrics = config.get("retrieval", None) + response_metrics = config.get("response", None) + + return PaiEvaluator( + llm=llm, + index=index, + query_engine=query_engine, + retriever=retriever, + retrieval_metrics=retrieval_metrics, + response_metrics=response_metrics, + ) diff --git a/src/pai_rag/evaluations/batch_evaluator.py b/src/pai_rag/modules/evaluation/pai_evaluator.py similarity index 60% rename from src/pai_rag/evaluations/batch_evaluator.py rename to src/pai_rag/modules/evaluation/pai_evaluator.py index abd5f142..0e9b7d40 100644 --- a/src/pai_rag/evaluations/batch_evaluator.py +++ b/src/pai_rag/modules/evaluation/pai_evaluator.py @@ -1,14 +1,8 @@ -"""Evaluator for both Retrieval & Response based on config""" - -import click import logging +import os from typing import Optional +import json import pandas as pd -import asyncio -import os -from pathlib import Path -from pai_rag.core.rag_configuration import RagConfiguration -from pai_rag.modules.module_registry import module_registry from llama_index.core.evaluation import RetrieverEvaluator from llama_index.core.evaluation import ( AnswerRelevancyEvaluator, @@ -16,54 +10,88 @@ CorrectnessEvaluator, SemanticSimilarityEvaluator, ) -from pai_rag.evaluations.dataset_generation.generate_question_answer_pairs import ( - load_question_answer_pairs_json, -) -from pai_rag.evaluations.batch_eval_runner import BatchEvalRunner +from pai_rag.modules.evaluation.ragdataset_generator import GenerateDatasetPipeline +from pai_rag.modules.evaluation.batch_eval_runner import BatchEvalRunner -DEFAULT_QA_DATASET_DIR = "localdata/evaluation" logger = logging.getLogger(__name__) +DEFAULT_QA_DATASET_DIR = "localdata/evaluation" -class BatchEvaluator(object): +class PaiEvaluator: def __init__( self, - config, - retriever, + llm, + index, query_engine, - llm=None, + retriever, + retrieval_metrics, + response_metrics, ): - self.name = "BatchEvaluator" - self.config = config self.llm = llm - self.dataset_path = config.get( - "qa_dataset_path", os.path.join(DEFAULT_QA_DATASET_DIR, "qa_dataset.json") - ) + self.index = index self.query_engine = query_engine - # retrieval - self.retrieval_metrics = config["evaluation"]["retrieval"] + self.retriever = retriever + self.retrieval_metrics = retrieval_metrics self.retrieval_evaluator = RetrieverEvaluator.from_metric_names( - self.retrieval_metrics, retriever=retriever + self.retrieval_metrics, retriever=self.retriever ) - # response - self.response_metrics_list = self.config["evaluation"]["response"] + # TODO: if exists in list + self.response_metrics = response_metrics self.faithfulness = FaithfulnessEvaluator() self.answer_relevancy = AnswerRelevancyEvaluator() self.correctness = CorrectnessEvaluator() self.similarity = SemanticSimilarityEvaluator() - logger.info("batch evaluator created") + if not os.path.exists(DEFAULT_QA_DATASET_DIR): + os.makedirs(DEFAULT_QA_DATASET_DIR, exist_ok=True) + self.dataset_path = os.path.join(DEFAULT_QA_DATASET_DIR, "qa_dataset.json") - async def batch_retrieval_response_aevaluation( + logger.info("PaiEvaluator initialized.") + + async def aload_question_answer_pairs_json( + self, overwrite: bool = False, dataset_name=None + ): + file_exists = os.path.exists(self.dataset_path) + if file_exists and not overwrite: + logging.info( + f"[Evaluation] qa_dataset '{self.dataset_path}' already exists, do not need to regenerate and overwrite." + ) + else: + logging.info( + f"[Evaluation] qa_dataset '{self.dataset_path}' (re)generating and overwriting..." + ) + directory = os.path.dirname(self.dataset_path) + if not os.path.exists(directory): + os.makedirs(directory, exist_ok=True) + await self.acustomized_generate_qas(dataset_name) + + logging.info( + f"[Evaluation] loading generated qa_dataset from path {self.dataset_path}. " + ) + with open(self.dataset_path) as f: + qa_dataset = json.load(f) + return qa_dataset + + async def acustomized_generate_qas(self, dataset_name=None): + docs = self.index.vector_index._docstore.docs + nodes = list(docs.values()) + pipeline = GenerateDatasetPipeline(llm=self.llm, nodes=nodes) + if not dataset_name: + qas = await pipeline.agenerate_dataset() + else: + print(f"Generating ragdataset for open dataset_name {dataset_name}") + qas = await pipeline.generate_dataset_from_miracl(dataset_name) + pipeline.save_json(qas, self.dataset_path) + + async def abatch_retrieval_response_aevaluation( self, type: Optional[str] = "all", workers: Optional[int] = 2, - save_to_file: Optional[bool] = True, - overwrite: Optional[bool] = False, - output: Optional[str] = None, + output_path: Optional[str] = None, + overwrite: bool = False, ): # generate or load qa_dataset - qas = await load_question_answer_pairs_json(self.dataset_path, overwrite) + qas = await self.aload_question_answer_pairs_json(overwrite) data = { "query": [t["query"] for t in qas["examples"]], "reference_contexts": [t["reference_contexts"] for t in qas["examples"]], @@ -82,13 +110,13 @@ async def batch_retrieval_response_aevaluation( response_evaluators = {} if type in ["response", "all"]: - if "Faithfulness" in self.response_metrics_list: + if "Faithfulness" in self.response_metrics: response_evaluators["Faithfulness"] = self.faithfulness - if "Answer Relevancy" in self.response_metrics_list: + if "Answer Relevancy" in self.response_metrics: response_evaluators["Answer Relevancy"] = self.answer_relevancy - if "Correctness" in self.response_metrics_list: + if "Correctness" in self.response_metrics: response_evaluators["Correctness"] = self.correctness - if "Semantic Similarity" in self.response_metrics_list: + if "Semantic Similarity" in self.response_metrics: response_evaluators["Semantic Similarity"] = self.similarity runner = BatchEvalRunner( @@ -124,7 +152,7 @@ async def batch_retrieval_response_aevaluation( else: df["mrr"] = "not selected" if type in ["response", "all"]: - if "Faithfulness" in self.response_metrics_list: + if "Faithfulness" in self.response_metrics: df["faithfulness_score"] = [ e.score for e in eval_results["Faithfulness"] ] @@ -133,17 +161,17 @@ async def batch_retrieval_response_aevaluation( ] else: df["faithfulness_score"] = "not selected" - if "Answer Relevancy" in self.response_metrics_list: + if "Answer Relevancy" in self.response_metrics: df["answer_relevancy_score"] = [ e.feedback for e in eval_results["Answer Relevancy"] ] else: df["answer_relevancy_score"] = "not selected" - if "Correctness" in self.response_metrics_list: + if "Correctness" in self.response_metrics: df["correctness_score"] = [e.score for e in eval_results["Correctness"]] else: df["correctness_score"] = "not selected" - if "Semantic Similarity" in self.response_metrics_list: + if "Semantic Similarity" in self.response_metrics: df["semantic_similarity_score"] = [ e.score for e in eval_results["Semantic Similarity"] ] @@ -173,59 +201,9 @@ async def batch_retrieval_response_aevaluation( "similarity_mean": df["semantic_similarity_score"].agg("mean"), } - if save_to_file: - if output is None or output == "": - if not os.path.exists(DEFAULT_QA_DATASET_DIR): - os.makedirs(DEFAULT_QA_DATASET_DIR, exist_ok=True) - output = os.path.join(DEFAULT_QA_DATASET_DIR, "batch_eval_results.xlsx") - df.to_excel(output) + if output_path is None or output_path == "": + output_path = os.path.join( + DEFAULT_QA_DATASET_DIR, f"batch_eval_results_{type}.xlsx" + ) + df.to_excel(output_path) return df, eval_res_avg - - -def __init_evaluator_pipeline(): - base_dir = Path(__file__).parent.parent - config_file = os.path.join(base_dir, "config/settings.yaml") - - config = RagConfiguration.from_file(config_file).get_value() - module_registry.init_modules(config) - - retriever = module_registry.get_module_with_config("RetrieverModule", config) - query_engine = module_registry.get_module_with_config("QueryEngineModule", config) - - return BatchEvaluator(config, retriever, query_engine) - - -async def async_run(type, overwrite, output): - print(f"Running async task with evaluation type: {type}") - evaluation = __init_evaluator_pipeline() - df, eval_res_avg = await evaluation.batch_retrieval_response_aevaluation( - type=type, workers=2, save_to_file=True, overwrite=overwrite, output=output - ) - return df, eval_res_avg - - -@click.command() -@click.option( - "-t", - "--type", - show_default=True, - help="Evaluation type: [retrieval, response, all]", - default="all", -) -@click.option( - "-o", - "--overwrite", - show_default=True, - help="Whether to regenerate and overwrite the qa_dataset file: [True, False]", - default=False, -) -@click.option( - "-f", - "--file_path", - show_default=True, - help="The output path of the generated evaluation result file", - default=None, -) -def run(type, overwrite, file_path): - df, eval_res_avg = asyncio.run(async_run(type, overwrite, file_path)) - print("Evaluation results is:", eval_res_avg) diff --git a/src/pai_rag/evaluations/dataset_generation/ragdataset_generator.py b/src/pai_rag/modules/evaluation/ragdataset_generator.py similarity index 57% rename from src/pai_rag/evaluations/dataset_generation/ragdataset_generator.py rename to src/pai_rag/modules/evaluation/ragdataset_generator.py index 5a0ecbf0..087cb6b3 100644 --- a/src/pai_rag/evaluations/dataset_generation/ragdataset_generator.py +++ b/src/pai_rag/modules/evaluation/ragdataset_generator.py @@ -1,10 +1,8 @@ -from llama_index.core.llama_dataset.base import BaseLlamaDataExample -from llama_index.core.llama_dataset.generator import RagDatasetGenerator -from llama_index.core.bridge.pydantic import Field - import re from typing import List, Optional - +import logging +import os +import json from llama_index.core import Document, SummaryIndex from llama_index.core.async_utils import run_jobs, asyncio_run from llama_index.core.base.response.schema import RESPONSE_TYPE @@ -13,8 +11,18 @@ CreatedByType, LabelledRagDataset, ) - from llama_index.core.schema import BaseNode +from llama_index.core.llama_dataset.base import BaseLlamaDataExample +from llama_index.core.llama_dataset.generator import RagDatasetGenerator +from llama_index.core.bridge.pydantic import Field +from llama_index.core.prompts.base import PromptTemplate +from llama_index.core.prompts.prompt_type import PromptType +from pai_rag.utils.prompt_template import ( + DEFAULT_QUESTION_GENERATION_PROMPT, + DEFAULT_TEXT_QA_PROMPT_TMPL, + DEFAULT_QUESTION_GENERATION_QUERY, +) +from pai_rag.data.open_dataset import MiraclOpenDataSet class ModifiedRagDatasetGenerator(RagDatasetGenerator): @@ -121,6 +129,33 @@ def generate_dataset_from_nodes(self) -> LabelledRagDataset: """Generates questions for each document.""" return asyncio_run(self.agenerate_dataset_from_nodes()) + def generate_dataset_from_miracl(self) -> LabelledRagDataset: + """Node question generator.""" + examples: List[LabelledRagDataExample] = [] + miracl_dataset = MiraclOpenDataSet() + qrels, _ = miracl_dataset.load_qrels("dev") + qid2topic = miracl_dataset.load_topic("dev") + _, docid2doc = miracl_dataset.load_related_corpus_for_type("dev") + for qid in qid2topic: + pos_docids = ( + [docid for docid, rel in qrels[qid].items() if rel == 1] + if qrels is not None + else [] + ) + pos_docs = [docid2doc[docid] for docid in pos_docids if docid in docid2doc] + + example = LabelledRagDataExample( + query=qid2topic[qid], + reference_answer="", + reference_contexts=pos_docs, + reference_node_id=pos_docids, + reference_answer_by=None, + query_by=None, + ) + examples.append(example) + + return LabelledRagDataset(examples=examples) + class LabelledRagDataExample(BaseLlamaDataExample): """RAG example class. Analogous to traditional ML datasets, this dataset contains @@ -162,3 +197,92 @@ class LabelledRagDataExample(BaseLlamaDataExample): def class_name(self) -> str: """Data example class name.""" return "LabelledRagDataExample" + + +class GenerateDatasetPipeline(ModifiedRagDatasetGenerator): + def __init__( + self, + llm, + nodes, + text_question_template_str: Optional[str] = DEFAULT_QUESTION_GENERATION_PROMPT, + text_qa_template_str: Optional[str] = DEFAULT_TEXT_QA_PROMPT_TMPL, + question_gen_query: Optional[str] = DEFAULT_QUESTION_GENERATION_QUERY, + num_questions_per_chunk: int = 1, + show_progress: Optional[bool] = True, + ) -> None: + self.name = "GenerateDatasetPipeline" + self.llm = llm + self.nodes = nodes + + self.num_questions_per_chunk = num_questions_per_chunk + self.text_question_template = PromptTemplate(text_question_template_str) + self.text_qa_template = PromptTemplate( + text_qa_template_str, prompt_type=PromptType.QUESTION_ANSWER + ) + self.question_gen_query = question_gen_query.format( + num_questions_per_chunk=self.num_questions_per_chunk + ) + self.show_progress = show_progress + self.is_test_run = os.getenv("IS_PAI_RAG_CI_TEST") == "true" + if self.is_test_run: + self.nodes = self.nodes[:1] # Only + + logging.info("dataset generation initialized successfully.") + + def generate_dataset(self) -> LabelledRagDataset: + dataset_generator = ModifiedRagDatasetGenerator( + nodes=self.nodes, + llm=self.llm, + num_questions_per_chunk=self.num_questions_per_chunk, + text_question_template=self.text_question_template, + text_qa_template=self.text_qa_template, + question_gen_query=self.question_gen_query, + show_progress=self.show_progress, + ) + + qas = dataset_generator.generate_dataset_from_nodes() + logging.info("dataset generation completed.") + return qas + + async def agenerate_dataset(self) -> LabelledRagDataset: + dataset_generator = ModifiedRagDatasetGenerator( + nodes=self.nodes, + llm=self.llm, + num_questions_per_chunk=self.num_questions_per_chunk, + text_question_template=self.text_question_template, + text_qa_template=self.text_qa_template, + question_gen_query=self.question_gen_query, + show_progress=self.show_progress, + ) + qas = await dataset_generator.agenerate_dataset_from_nodes() + logging.info("dataset generation completed.") + return qas + + async def generate_dataset_from_miracl(self, dataset_name) -> LabelledRagDataset: + dataset_generator = ModifiedRagDatasetGenerator( + nodes=self.nodes, + llm=self.llm, + num_questions_per_chunk=self.num_questions_per_chunk, + text_question_template=self.text_question_template, + text_qa_template=self.text_qa_template, + question_gen_query=self.question_gen_query, + show_progress=self.show_progress, + ) + if dataset_name == "miracl": + qas = dataset_generator.generate_dataset_from_miracl() + else: + raise ValueError(f"Not supported dataset name with {dataset_name}") + logging.info("dataset generation completed.") + return qas + + def save_json(self, qas: LabelledRagDataset, path: str) -> None: + """Save json.""" + with open(path, "w", encoding="utf-8") as f: + json.dump(qas.dict(), f, indent=4, ensure_ascii=False) + + @classmethod + def from_json(cls, path: str) -> LabelledRagDataset: + """Load json.""" + with open(path, encoding="utf-8") as f: + data = json.load(f) + return data diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index 4048f3de..a414ae0d 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -22,6 +22,7 @@ "ToolModule": "tool", "DataLoaderModule": "data_loader", "OssCacheModule": "cache", + "EvaluationModule": "evaluation", "BM25IndexModule": "bm25", } diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index b0fb0b5d..b8640eb2 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -75,5 +75,10 @@ async def test_agent(rag_app: RagApplication): async def test_batch_evaluate_retrieval_and_response(rag_app: RagApplication): - df, eval_result = await rag_app.batch_evaluate_retrieval_and_response(type="all") + _, eval_result = await rag_app.aevaluate_retrieval_and_response(type="all") print(eval_result) + + +async def test_load_evaluation_qa_dataset(rag_app: RagApplication): + qa_dataset = await rag_app.aload_evaluation_qa_dataset() + print(qa_dataset) From 75010f071a5af669d808dd9137da478890261a02 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Tue, 2 Jul 2024 15:54:16 +0800 Subject: [PATCH 19/69] Fix oss url for miracl dataset (#86) --- src/pai_rag/data/open_dataset.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/pai_rag/data/open_dataset.py b/src/pai_rag/data/open_dataset.py index 33a86716..996967d0 100644 --- a/src/pai_rag/data/open_dataset.py +++ b/src/pai_rag/data/open_dataset.py @@ -40,7 +40,7 @@ def __init__( ) self.lang = lang if not os.path.exists(self.dataset_path): - dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/small_test/miracl.tar.gz" + dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/miracl.tar.gz" file_path = os.path.join(DEFAULT_DATASET_DIR, "miracl.tar.gz") self._extract_and_download_dataset( dataset_url, file_path, self.dataset_path @@ -50,7 +50,7 @@ def __init__( f"[MiraclOpenDataSet] Dataset file already exists at {self.dataset_path}." ) if not os.path.exists(self.corpus_path): - dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/small_test/miracl-corpus.tar.gz" + dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/miracl-corpus.tar.gz" file_path = os.path.join(DEFAULT_DATASET_DIR, "miracl-corpus.tar.gz") self._extract_and_download_dataset(dataset_url, file_path, self.corpus_path) else: From eb5cad9365959ca5f79703cb13452c2dca8a5103 Mon Sep 17 00:00:00 2001 From: aero-xi <129151855+aero-xi@users.noreply.github.com> Date: Tue, 2 Jul 2024 16:06:53 +0800 Subject: [PATCH 20/69] fix ui es upload (#85) --- src/pai_rag/app/web/rag_client.py | 2 +- src/pai_rag/core/rag_service.py | 7 +++++-- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index ea433a2d..87bf3a82 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -128,7 +128,7 @@ def add_knowledge(self, file_name: str, enable_qa_extraction: bool): return response async def get_knowledge_state(self, task_id: str): - async with httpx.AsyncClient() as client: + async with httpx.AsyncClient(timeout=None) as client: r = await client.get(self.get_load_state_url, params={"task_id": task_id}) r.raise_for_status() response = dotdict(json.loads(r.text)) diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index b8c50f44..9e75ff1d 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -84,7 +84,7 @@ def check_updates(self): else: logger.info("No updates") - def add_knowledge_async( + async def add_knowledge_async( self, task_id: str, file_dir: str, @@ -95,7 +95,10 @@ def add_knowledge_async( with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id} processing\n") try: - self.rag.load_knowledge(file_dir, faiss_path, enable_qa_extraction) + if faiss_path: + self.rag.load_knowledge(file_dir, faiss_path, enable_qa_extraction) + else: + await self.rag.aload_knowledge(file_dir, enable_qa_extraction) with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id} completed\n") except Exception as ex: From 7d0e1f6f5ab35e2ffd86e8dc2d8c96553ff5fbb2 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Tue, 2 Jul 2024 18:07:39 +0800 Subject: [PATCH 21/69] Fix eas LLM (#88) --- src/pai_rag/data/rag_dataloader.py | 1 + src/pai_rag/integrations/llms/paieas/base.py | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 4e57125f..b841c61e 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -141,6 +141,7 @@ async def aload_eval_data(self, name: str): node_metadata = { "title": node[2], "file_path": node[3], + "file_name": node[3], } nodes.append( TextNode(id_=node[0], text=node[1], metadata=node_metadata) diff --git a/src/pai_rag/integrations/llms/paieas/base.py b/src/pai_rag/integrations/llms/paieas/base.py index 5a78e80d..b667cc8a 100644 --- a/src/pai_rag/integrations/llms/paieas/base.py +++ b/src/pai_rag/integrations/llms/paieas/base.py @@ -121,7 +121,7 @@ def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: async def achat( self, messages: Sequence[ChatMessage], **kwargs: Any ) -> ChatResponse: - chat_fn = acompletion_to_chat_decorator(self.complete) + chat_fn = acompletion_to_chat_decorator(self.acomplete) return await chat_fn(messages, **kwargs) @llm_completion_callback() From 5cb96d9d5200bdaecca6b0979500d9e295b79b8a Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Wed, 3 Jul 2024 09:14:39 +0800 Subject: [PATCH 22/69] Milvus support sparse search (#87) --- src/pai_rag/modules/index/bm25_index.py | 2 +- .../modules/index/my_milvus_vector_store.py | 644 ++++++++++++++++++ src/pai_rag/modules/index/sparse_embedding.py | 46 ++ src/pai_rag/modules/index/store.py | 7 +- src/pai_rag/modules/retriever/retriever.py | 3 +- 5 files changed, 697 insertions(+), 5 deletions(-) create mode 100644 src/pai_rag/modules/index/my_milvus_vector_store.py create mode 100644 src/pai_rag/modules/index/sparse_embedding.py diff --git a/src/pai_rag/modules/index/bm25_index.py b/src/pai_rag/modules/index/bm25_index.py index 493c96f5..db29dba0 100644 --- a/src/pai_rag/modules/index/bm25_index.py +++ b/src/pai_rag/modules/index/bm25_index.py @@ -22,7 +22,7 @@ def get_dependencies() -> List[str]: def _create_new_instance(self, new_params: Dict[str, Any]): index = new_params["IndexModule"] - if index.vectordb_type == "elasticsearch": + if index.vectordb_type == "elasticsearch" or index.vectordb_type == "milvus": return None else: logger.info("Using BM25 Index.") diff --git a/src/pai_rag/modules/index/my_milvus_vector_store.py b/src/pai_rag/modules/index/my_milvus_vector_store.py new file mode 100644 index 00000000..98da256e --- /dev/null +++ b/src/pai_rag/modules/index/my_milvus_vector_store.py @@ -0,0 +1,644 @@ +"""Milvus vector store index. + +An index that is built within Milvus. + +""" + +import logging +from typing import Any, Dict, List, Optional, Union + +import pymilvus # noqa +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.schema import BaseNode, TextNode +from llama_index.core.utils import iter_batch +from llama_index.vector_stores.milvus.utils import ( + get_default_sparse_embedding_function, + BaseSparseEmbeddingFunction, + ScalarMetadataFilters, + parse_standard_filters, + parse_scalar_filters, +) +from llama_index.core.vector_stores.types import ( + BasePydanticVectorStore, + MetadataFilters, + VectorStoreQuery, + VectorStoreQueryMode, + VectorStoreQueryResult, +) +from llama_index.core.vector_stores.utils import ( + DEFAULT_DOC_ID_KEY, + DEFAULT_EMBEDDING_KEY, + metadata_dict_to_node, + node_to_metadata_dict, +) +from pymilvus import Collection, MilvusClient, DataType, AnnSearchRequest + +logger = logging.getLogger(__name__) + +DEFAULT_BATCH_SIZE = 100 +MILVUS_ID_FIELD = "id" + +try: + from pymilvus import WeightedRanker, RRFRanker +except Exception: + WeightedRanker = None + RRFRanker = None + + +def _to_milvus_filter( + standard_filters: MetadataFilters, scalar_filters: ScalarMetadataFilters = None +) -> str: + """Translate metadata filters to Milvus specific spec.""" + standard_filters_list, joined_standard_filters = parse_standard_filters( + standard_filters + ) + scalar_filters_list, joined_scalar_filters = parse_scalar_filters(scalar_filters) + + filters = standard_filters_list + scalar_filters_list + + if len(standard_filters_list) > 0 and len(scalar_filters_list) > 0: + joined_filters = f" {joined_standard_filters} and {joined_scalar_filters} " + return f"({joined_filters})" if len(filters) > 1 else joined_filters + elif len(standard_filters_list) > 0 and len(scalar_filters_list) == 0: + return ( + f"({joined_standard_filters})" + if len(filters) > 1 + else joined_standard_filters + ) + elif len(standard_filters_list) == 0 and len(scalar_filters_list) > 0: + return ( + f"({joined_scalar_filters})" if len(filters) > 1 else joined_scalar_filters + ) + else: + return "" + + +class MyMilvusVectorStore(BasePydanticVectorStore): + """My Milvus Vector Store. Enabled text retrieval. + + In this vector store we store the text, its embedding and + a its metadata in a Milvus collection. This implementation + allows the use of an already existing collection. + It also supports creating a new one if the collection doesn't + exist or if `overwrite` is set to True. + + Args: + uri (str, optional): The URI to connect to, comes in the form of + "https://address:port" for Milvus or Zilliz Cloud service, + or "path/to/local/milvus.db" for the lite local Milvus. Defaults to + "./milvus_llamaindex.db". + token (str, optional): The token for log in. Empty if not using rbac, if + using rbac it will most likely be "username:password". + collection_name (str, optional): The name of the collection where data will be + stored. Defaults to "llamalection". + dim (int, optional): The dimension of the embedding vectors for the collection. + Required if creating a new collection. + embedding_field (str, optional): The name of the embedding field for the + collection, defaults to DEFAULT_EMBEDDING_KEY. + doc_id_field (str, optional): The name of the doc_id field for the collection, + defaults to DEFAULT_DOC_ID_KEY. + similarity_metric (str, optional): The similarity metric to use, + currently supports IP and L2. + consistency_level (str, optional): Which consistency level to use for a newly + created collection. Defaults to "Strong". + overwrite (bool, optional): Whether to overwrite existing collection with same + name. Defaults to False. + text_key (str, optional): What key text is stored in in the passed collection. + Used when bringing your own collection. Defaults to None. + index_config (dict, optional): The configuration used for building the + Milvus index. Defaults to None. + search_config (dict, optional): The configuration used for searching + the Milvus index. Note that this must be compatible with the index + type specified by `index_config`. Defaults to None. + batch_size (int): Configures the number of documents processed in one + batch when inserting data into Milvus. Defaults to DEFAULT_BATCH_SIZE. + enable_sparse (bool): A boolean flag indicating whether to enable support + for sparse embeddings for hybrid retrieval. Defaults to False. + sparse_embedding_function (BaseSparseEmbeddingFunction, optional): If enable_sparse + is True, this object should be provided to convert text to a sparse embedding. + hybrid_ranker (str): Specifies the type of ranker used in hybrid search queries. + Currently only supports ['RRFRanker','WeightedRanker']. Defaults to "RRFRanker". + hybrid_ranker_params (dict, optional): Configuration parameters for the hybrid ranker. + The structure of this dictionary depends on the specific ranker being used: + - For "RRFRanker", it should include: + - 'k' (int): A parameter used in Reciprocal Rank Fusion (RRF). This value is used + to calculate the rank scores as part of the RRF algorithm, which combines + multiple ranking strategies into a single score to improve search relevance. + - For "WeightedRanker", it expects: + - 'weights' (list of float): A list of exactly two weights: + 1. The weight for the dense embedding component. + 2. The weight for the sparse embedding component. + These weights are used to adjust the importance of the dense and sparse components of the embeddings + in the hybrid retrieval process. + Defaults to an empty dictionary, implying that the ranker will operate with its predefined default settings. + + Raises: + ImportError: Unable to import `pymilvus`. + MilvusException: Error communicating with Milvus, more can be found in logging + under Debug. + + Returns: + MilvusVectorstore: Vectorstore that supports add, delete, and query. + + Examples: + `pip install llama-index-vector-stores-milvus` + + ```python + from llama_index.vector_stores.milvus import MilvusVectorStore + + # Setup MilvusVectorStore + vector_store = MilvusVectorStore( + dim=1536, + collection_name="your_collection_name", + uri="http://milvus_address:port", + token="your_milvus_token_here", + overwrite=True + ) + ``` + """ + + stores_text: bool = True + stores_node: bool = True + + uri: str = "./milvus_llamaindex.db" + token: str = "" + collection_name: str = "llamacollection" + dim: Optional[int] + embedding_field: str = DEFAULT_EMBEDDING_KEY + doc_id_field: str = DEFAULT_DOC_ID_KEY + similarity_metric: str = "IP" + consistency_level: str = "Strong" + overwrite: bool = False + text_key: Optional[str] + output_fields: List[str] = Field(default_factory=list) + index_config: Optional[dict] + search_config: Optional[dict] + batch_size: int = DEFAULT_BATCH_SIZE + enable_sparse: bool = False + sparse_embedding_field: str = "sparse_embedding" + sparse_embedding_function: Any + hybrid_ranker: str + hybrid_ranker_params: dict = {} + + _milvusclient: MilvusClient = PrivateAttr() + _collection: Any = PrivateAttr() + + def __init__( + self, + uri: str = "./milvus_llamaindex.db", + token: str = "", + collection_name: str = "llamacollection", + dim: Optional[int] = None, + embedding_field: str = DEFAULT_EMBEDDING_KEY, + doc_id_field: str = DEFAULT_DOC_ID_KEY, + similarity_metric: str = "IP", + consistency_level: str = "Strong", + overwrite: bool = False, + text_key: Optional[str] = None, + output_fields: Optional[List[str]] = None, + index_config: Optional[dict] = None, + search_config: Optional[dict] = None, + batch_size: int = DEFAULT_BATCH_SIZE, + enable_sparse: bool = False, + sparse_embedding_function: Optional[BaseSparseEmbeddingFunction] = None, + hybrid_ranker: str = "RRFRanker", + hybrid_ranker_params: dict = {}, + **kwargs: Any, + ) -> None: + """Init params.""" + super().__init__( + collection_name=collection_name, + dim=dim, + embedding_field=embedding_field, + doc_id_field=doc_id_field, + consistency_level=consistency_level, + overwrite=overwrite, + text_key=text_key, + output_fields=output_fields or [], + index_config=index_config if index_config else {}, + search_config=search_config if search_config else {}, + batch_size=batch_size, + enable_sparse=enable_sparse, + sparse_embedding_function=sparse_embedding_function, + hybrid_ranker=hybrid_ranker, + hybrid_ranker_params=hybrid_ranker_params, + ) + + # Select the similarity metric + similarity_metrics_map = { + "ip": "IP", + "l2": "L2", + "euclidean": "L2", + "cosine": "COSINE", + } + self.similarity_metric = similarity_metrics_map.get( + similarity_metric.lower(), "L2" + ) + # Connect to Milvus instance + self._milvusclient = MilvusClient( + uri=uri, + token=token, + **kwargs, # pass additional arguments such as server_pem_path + ) + # Delete previous collection if overwriting + if overwrite and collection_name in self.client.list_collections(): + self._milvusclient.drop_collection(collection_name) + + # Create the collection if it does not exist + if collection_name not in self.client.list_collections(): + if dim is None: + raise ValueError("Dim argument required for collection creation.") + if self.enable_sparse is False: + self._milvusclient.create_collection( + collection_name=collection_name, + dimension=dim, + primary_field_name=MILVUS_ID_FIELD, + vector_field_name=embedding_field, + id_type="string", + metric_type=self.similarity_metric, + max_length=65_535, + consistency_level=consistency_level, + ) + else: + try: + _ = DataType.SPARSE_FLOAT_VECTOR + except Exception as e: + logger.error( + "Hybrid retrieval is only supported in Milvus 2.4.0 or later." + ) + raise NotImplementedError( + "Hybrid retrieval requires Milvus 2.4.0 or later." + ) from e + self._create_hybrid_index(collection_name) + + self._collection = Collection(collection_name, using=self._milvusclient._using) + self._create_index_if_required() + + self.enable_sparse = enable_sparse + if self.enable_sparse is True and sparse_embedding_function is None: + logger.warning("Sparse embedding function is not provided, using default.") + self.sparse_embedding_function = get_default_sparse_embedding_function() + elif self.enable_sparse is True and sparse_embedding_function is not None: + self.sparse_embedding_function = sparse_embedding_function + else: + pass + + logger.debug(f"Successfully created a new collection: {self.collection_name}") + + @property + def client(self) -> Any: + """Get client.""" + return self._milvusclient + + def add(self, nodes: List[BaseNode], **add_kwargs: Any) -> List[str]: + """Add the embeddings and their nodes into Milvus. + + Args: + nodes (List[BaseNode]): List of nodes with embeddings + to insert. + + Raises: + MilvusException: Failed to insert data. + + Returns: + List[str]: List of ids inserted. + """ + insert_list = [] + insert_ids = [] + + if self.enable_sparse is True and self.sparse_embedding_function is None: + logger.fatal( + "sparse_embedding_function is None when enable_sparse is True." + ) + + # Process that data we are going to insert + for node in nodes: + entry = node_to_metadata_dict(node) + entry[MILVUS_ID_FIELD] = node.node_id + entry[self.embedding_field] = node.embedding + + if self.enable_sparse is True: + entry[ + self.sparse_embedding_field + ] = self.sparse_embedding_function.encode_documents([node.text])[0] + + insert_ids.append(node.node_id) + insert_list.append(entry) + + # Insert the data into milvus + for insert_batch in iter_batch(insert_list, self.batch_size): + self._collection.insert(insert_batch) + if add_kwargs.get("force_flush", False): + self._collection.flush() + self._create_index_if_required() + logger.debug( + f"Successfully inserted embeddings into: {self.collection_name} " + f"Num Inserted: {len(insert_list)}" + ) + return insert_ids + + def delete(self, ref_doc_id: str, **delete_kwargs: Any) -> None: + """ + Delete nodes using with ref_doc_id. + + Args: + ref_doc_id (str): The doc_id of the document to delete. + + Raises: + MilvusException: Failed to delete the doc. + """ + # Adds ability for multiple doc delete in future. + doc_ids: List[str] + if isinstance(ref_doc_id, list): + doc_ids = ref_doc_id # type: ignore + else: + doc_ids = [ref_doc_id] + + # Begin by querying for the primary keys to delete + doc_ids = ['"' + entry + '"' for entry in doc_ids] + entries = self._milvusclient.query( + collection_name=self.collection_name, + filter=f"{self.doc_id_field} in [{','.join(doc_ids)}]", + ) + if len(entries) > 0: + ids = [entry["id"] for entry in entries] + self._milvusclient.delete(collection_name=self.collection_name, pks=ids) + logger.debug(f"Successfully deleted embedding with doc_id: {doc_ids}") + + def query(self, query: VectorStoreQuery, **kwargs: Any) -> VectorStoreQueryResult: + """Query index for top k most similar nodes. + + Args: + query_embedding (List[float]): query embedding + similarity_top_k (int): top k most similar nodes + doc_ids (Optional[List[str]]): list of doc_ids to filter by + node_ids (Optional[List[str]]): list of node_ids to filter by + output_fields (Optional[List[str]]): list of fields to return + embedding_field (Optional[str]): name of embedding field + """ + if ( + query.mode == VectorStoreQueryMode.DEFAULT + or query.mode == VectorStoreQueryMode.TEXT_SEARCH + ): + pass + elif query.mode == VectorStoreQueryMode.HYBRID: + if self.enable_sparse is False: + raise ValueError("QueryMode is HYBRID, but enable_sparse is False.") + else: + raise ValueError(f"Milvus does not support {query.mode} yet.") + + expr = [] + output_fields = ["*"] + + # Parse the filter + + if query.filters is not None or "milvus_scalar_filters" in kwargs: + expr.append( + _to_milvus_filter( + query.filters, + kwargs["milvus_scalar_filters"] + if "milvus_scalar_filters" in kwargs + else None, + ) + ) + + # Parse any docs we are filtering on + if query.doc_ids is not None and len(query.doc_ids) != 0: + expr_list = ['"' + entry + '"' for entry in query.doc_ids] + expr.append(f"{self.doc_id_field} in [{','.join(expr_list)}]") + + # Parse any nodes we are filtering on + if query.node_ids is not None and len(query.node_ids) != 0: + expr_list = ['"' + entry + '"' for entry in query.node_ids] + expr.append(f"{MILVUS_ID_FIELD} in [{','.join(expr_list)}]") + + # Limit output fields + outputs_limited = False + if query.output_fields is not None: + output_fields = query.output_fields + outputs_limited = True + elif len(self.output_fields) > 0: + output_fields = [*self.output_fields] + outputs_limited = True + + # Add the text key to output fields if necessary + if self.text_key and self.text_key not in output_fields and outputs_limited: + output_fields.append(self.text_key) + + # Convert to string expression + string_expr = "" + if len(expr) != 0: + string_expr = " and ".join(expr) + + # Perform the search + if query.mode != VectorStoreQueryMode.HYBRID: + if query.mode == VectorStoreQueryMode.DEFAULT: + # Default search (vector) + embedding = query.query_embedding + embedding_field = self.embedding_field + else: + # fulltext search (sparse) + embedding = self.sparse_embedding_function.encode_queries( + [query.query_str] + )[0] + embedding_field = self.sparse_embedding_field + + res = self._milvusclient.search( + collection_name=self.collection_name, + data=[embedding], + filter=string_expr, + limit=query.similarity_top_k, + output_fields=output_fields, + search_params=self.search_config, + anns_field=embedding_field, + ) + logger.debug( + f"Successfully searched embedding in collection: {self.collection_name}" + f" Num Results: {len(res[0])}" + ) + + nodes = [] + similarities = [] + ids = [] + # Parse the results + for hit in res[0]: + if not self.text_key: + node = metadata_dict_to_node( + { + "_node_content": hit["entity"].get("_node_content", None), + "_node_type": hit["entity"].get("_node_type", None), + } + ) + else: + try: + text = hit["entity"].get(self.text_key) + except Exception: + raise ValueError( + "The passed in text_key value does not exist " + "in the retrieved entity." + ) + + metadata = { + key: hit["entity"].get(key) for key in self.output_fields + } + node = TextNode(text=text, metadata=metadata) + + nodes.append(node) + similarities.append(hit["distance"]) + ids.append(hit["id"]) + else: + # Perform hybrid search + sparse_emb = self.sparse_embedding_function.encode_queries( + [query.query_str] + )[0] + sparse_search_params = {"metric_type": "IP"} + + sparse_req = AnnSearchRequest( + [sparse_emb], + self.sparse_embedding_field, + sparse_search_params, + limit=query.similarity_top_k, + ) + + dense_search_params = { + "metric_type": self.similarity_metric, + "params": self.search_config, + } + dense_emb = query.query_embedding + dense_req = AnnSearchRequest( + [dense_emb], + self.embedding_field, + dense_search_params, + limit=query.similarity_top_k, + ) + ranker = None + + if WeightedRanker is None or RRFRanker is None: + logger.error( + "Hybrid retrieval is only supported in Milvus 2.4.0 or later." + ) + raise ValueError( + "Hybrid retrieval is only supported in Milvus 2.4.0 or later." + ) + if self.hybrid_ranker == "WeightedRanker": + if self.hybrid_ranker_params == {}: + self.hybrid_ranker_params = {"weights": [1.0, 1.0]} + ranker = WeightedRanker(*self.hybrid_ranker_params["weights"]) + elif self.hybrid_ranker == "RRFRanker": + if self.hybrid_ranker_params == {}: + self.hybrid_ranker_params = {"k": 60} + ranker = RRFRanker(self.hybrid_ranker_params["k"]) + else: + raise ValueError(f"Unsupported ranker: {self.hybrid_ranker}") + + res = self._collection.hybrid_search( + [dense_req, sparse_req], + rerank=ranker, + limit=query.similarity_top_k, + output_fields=output_fields, + ) + + logger.debug( + f"Successfully searched embedding in collection: {self.collection_name}" + f" Num Results: {len(res[0])}" + ) + + nodes = [] + similarities = [] + ids = [] + # Parse the results + for hit in res[0]: + if not self.text_key: + node = metadata_dict_to_node( + { + "_node_content": hit.entity.get("_node_content"), + "_node_type": hit.entity.get("_node_type"), + } + ) + else: + try: + text = hit.entity.get(self.text_key) + except Exception: + raise ValueError( + "The passed in text_key value does not exist " + "in the retrieved entity." + ) + + metadata = {key: hit.entity.get(key) for key in self.output_fields} + node = TextNode(text=text, metadata=metadata) + + nodes.append(node) + similarities.append(hit.distance) + ids.append(hit.id) + + return VectorStoreQueryResult(nodes=nodes, similarities=similarities, ids=ids) + + def _create_index_if_required(self, force: bool = False) -> None: + # This helper method is introduced to allow the index to be created + # both in the constructor and in the `add` method. The `force` flag is + # provided to ensure that the index is created in the constructor even + # if self.overwrite is false. In the `add` method, the index is + # recreated only if self.overwrite is true. + if self.enable_sparse is False: + if (self._collection.has_index() and self.overwrite) or force: + self._collection.release() + self._collection.drop_index() + base_params: Dict[str, Any] = self.index_config.copy() + index_type: str = base_params.pop("index_type", "FLAT") + index_params: Dict[str, Union[str, Dict[str, Any]]] = { + "params": base_params, + "metric_type": self.similarity_metric, + "index_type": index_type, + } + self._collection.create_index( + self.embedding_field, index_params=index_params + ) + self._collection.load() + else: + if ( + self._collection.has_index(index_name=self.embedding_field) + and self.overwrite + ) or force: + if self._collection.has_index(index_name=self.embedding_field) is True: + self._collection.release() + self._collection.drop_index(index_name=self.embedding_field) + if ( + self._collection.has_index(index_name=self.sparse_embedding_field) + is True + ): + self._collection.drop_index(index_name=self.sparse_embedding_field) + self._create_hybrid_index(self.collection_name) + self._collection.load() + + def _create_hybrid_index(self, collection_name): + schema = MilvusClient.create_schema(auto_id=False, enable_dynamic_field=True) + + schema.add_field( + field_name="id", + datatype=DataType.VARCHAR, + max_length=65535, + is_primary=True, + ) + schema.add_field( + field_name=self.embedding_field, + datatype=DataType.FLOAT_VECTOR, + dim=self.dim, + ) + schema.add_field( + field_name=self.sparse_embedding_field, + datatype=DataType.SPARSE_FLOAT_VECTOR, + ) + self._collection = Collection( + collection_name, schema=schema, using=self._milvusclient._using + ) + + sparse_index = {"index_type": "SPARSE_INVERTED_INDEX", "metric_type": "IP"} + self._collection.create_index(self.sparse_embedding_field, sparse_index) + base_params = self.index_config.copy() + index_type = base_params.pop("index_type", "FLAT") + dense_index = { + "params": base_params, + "metric_type": self.similarity_metric, + "index_type": index_type, + } + self._collection.create_index(self.embedding_field, dense_index) diff --git a/src/pai_rag/modules/index/sparse_embedding.py b/src/pai_rag/modules/index/sparse_embedding.py new file mode 100644 index 00000000..232fddd0 --- /dev/null +++ b/src/pai_rag/modules/index/sparse_embedding.py @@ -0,0 +1,46 @@ +import os +import logging +from typing import List +from pai_rag.utils.constants import DEFAULT_MODEL_DIR + +logger = logging.getLogger(__name__) + +MODEL_NAME = "bge-m3" + + +class BGEM3SparseEmbeddingFunction: + def __init__(self) -> None: + try: + from FlagEmbedding import BGEM3FlagModel + + self.model = BGEM3FlagModel( + os.path.join(DEFAULT_MODEL_DIR, MODEL_NAME), use_fp16=False + ) + except Exception: + error_info = ( + "Cannot import BGEM3FlagModel from FlagEmbedding. It seems it is not installed. " + "Please install it using:\n" + "pip install FlagEmbedding\n", + "error_info", + ) + + logger.error(error_info) + raise + + def encode_queries(self, queries: List[str]): + outputs = self.model.encode( + queries, return_dense=False, return_sparse=True, return_colbert_vecs=False + )["lexical_weights"] + return [self._to_standard_dict(output) for output in outputs] + + def encode_documents(self, documents: List[str]): + outputs = self.model.encode( + documents, return_dense=False, return_sparse=True, return_colbert_vecs=False + )["lexical_weights"] + return [self._to_standard_dict(output) for output in outputs] + + def _to_standard_dict(self, raw_output): + result = {} + for k in raw_output: + result[int(k)] = raw_output[k] + return result diff --git a/src/pai_rag/modules/index/store.py b/src/pai_rag/modules/index/store.py index 4d423f5b..d95bfb98 100644 --- a/src/pai_rag/modules/index/store.py +++ b/src/pai_rag/modules/index/store.py @@ -6,12 +6,13 @@ from llama_index.vector_stores.analyticdb import AnalyticDBVectorStore from llama_index.vector_stores.faiss import FaissVectorStore from llama_index.vector_stores.chroma import ChromaVectorStore -from llama_index.vector_stores.milvus import MilvusVectorStore from elasticsearch.helpers.vectorstore import AsyncDenseVectorStrategy from pai_rag.integrations.vector_stores.vector_stores_hologres.hologres import ( HologresVectorStore, ) +from pai_rag.modules.index.my_milvus_vector_store import MyMilvusVectorStore +from pai_rag.modules.index.sparse_embedding import BGEM3SparseEmbeddingFunction from llama_index.core import StorageContext import logging @@ -148,11 +149,13 @@ def _get_or_create_milvus(self): milvus_url = f"http://{milvus_host.strip('/')}:{milvus_port}/{milvus_database}" token = f"{milvus_user}:{milvus_password}" - return MilvusVectorStore( + return MyMilvusVectorStore( uri=milvus_url, token=token, collection_name=milvus_config["collection_name"], dim=self.embed_dims, + enable_sparse=True, + sparse_embedding_function=BGEM3SparseEmbeddingFunction(), ) def _get_or_create_simple_doc_store(self): diff --git a/src/pai_rag/modules/retriever/retriever.py b/src/pai_rag/modules/retriever/retriever.py index 2c9193c1..f844dbd9 100644 --- a/src/pai_rag/modules/retriever/retriever.py +++ b/src/pai_rag/modules/retriever/retriever.py @@ -2,7 +2,6 @@ import logging from typing import Dict, List, Any - from llama_index.core.indices.list.base import SummaryIndex from llama_index.core.retrievers import QueryFusionRetriever from llama_index.core.tools import RetrieverTool @@ -34,7 +33,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): retrieval_mode = config.get("retrieval_mode", "hybrid").lower() # Special handle elastic search - if index.vectordb_type == "elasticsearch": + if index.vectordb_type == "elasticsearch" or index.vectordb_type == "milvus": if retrieval_mode == "embedding": query_mode = VectorStoreQueryMode.DEFAULT elif retrieval_mode == "keyword": From e0ed40f3a49abeb61c9942ea80360d0c2c73af60 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Wed, 3 Jul 2024 15:29:40 +0800 Subject: [PATCH 23/69] Upload multiple files in single API call (#89) * Milvus support sparse search * aload fix * Upload multiple files in one api call * Remove notebooks * Fix tests * Fix http timeout issue --- README.md | 4 +- README_zh.md | 4 +- src/pai_rag/app/api/query.py | 46 ++++++-------- src/pai_rag/app/web/rag_client.py | 28 ++++++--- src/pai_rag/app/web/tabs/upload_tab.py | 4 +- src/pai_rag/core/rag_application.py | 13 ++-- src/pai_rag/core/rag_service.py | 11 ++-- src/pai_rag/data/rag_dataloader.py | 63 ++++++++++++++----- src/pai_rag/data/rag_datapipeline.py | 10 ++- .../readers/llama_parse_reader.py | 9 ++- .../modules/datareader/datareader_factory.py | 6 +- src/pai_rag/modules/index/index_daemon.py | 2 +- .../modules/index/my_vector_store_index.py | 5 +- tests/core/test_rag_application.py | 4 +- 14 files changed, 125 insertions(+), 84 deletions(-) diff --git a/README.md b/README.md index 1cbbd171..838c1ace 100644 --- a/README.md +++ b/README.md @@ -181,10 +181,10 @@ You can use the command line to send API requests to the server, for example, ca It supports uploading local files through API and supports specifying different failure_paths. Each time an API request is sent, a task_id will be returned. The file upload status (processing, completed, failed) can then be checked through the task_id. -- upload_local_data +- upload_data ```bash -curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' +curl -X 'POST' http://127.0.0.1:8000/service/upload_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' # Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} ``` diff --git a/README_zh.md b/README_zh.md index fffd971a..4be71d1d 100644 --- a/README_zh.md +++ b/README_zh.md @@ -181,10 +181,10 @@ docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com 支持通过API的方式上传本地文件，并支持指定不同的faiss_path，每次发送API请求会返回一个task_id，之后可以通过task_id来查看文件上传状态（processing、completed、failed）。 -- 上传（upload_local_data） +- 上传（upload_data） ```bash -curl -X 'POST' http://127.0.0.1:8000/service/upload_local_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' +curl -X 'POST' http://127.0.0.1:8000/service/upload_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' # Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} ``` diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 1247111e..19e2314b 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -1,5 +1,5 @@ -from typing import Any -from fastapi import APIRouter, Body, BackgroundTasks, File, UploadFile, Form +from typing import Any, List +from fastapi import APIRouter, Body, BackgroundTasks, UploadFile, Form import uuid import os import tempfile @@ -10,7 +10,6 @@ RetrievalQuery, RagResponse, LlmResponse, - DataInput, ) router = APIRouter() @@ -47,18 +46,6 @@ async def aconfig(): return rag_service.get_config() -@router.post("/upload_data") -def load_data(input: DataInput, background_tasks: BackgroundTasks): - task_id = uuid.uuid4().hex - background_tasks.add_task( - rag_service.add_knowledge_async, - task_id=task_id, - file_dir=input.file_path, - enable_qa_extraction=input.enable_qa_extraction, - ) - return {"task_id": task_id} - - @router.get("/get_upload_state") def task_status(task_id: str): status = rag_service.get_task_status(task_id) @@ -95,30 +82,33 @@ async def generate_qa_dataset(overwrite: bool = False): return {"status": 200, "result": qa_datase} -@router.post("/upload_local_data") -async def upload_local_data( - file: UploadFile = File(), +@router.post("/upload_data") +async def upload_data( + files: List[UploadFile], faiss_path: str = Form(None), background_tasks: BackgroundTasks = BackgroundTasks(), ): task_id = uuid.uuid4().hex - if not file: + if not files: return {"message": "No upload file sent"} - else: + + tmpdir = tempfile.mkdtemp() + input_files = [] + for file in files: fn = file.filename - tmpdir = tempfile.mkdtemp() save_file = os.path.join(tmpdir, f"{task_id}_{fn}") with open(save_file, "wb") as f: data = await file.read() f.write(data) f.close() + input_files.append(save_file) - background_tasks.add_task( - rag_service.add_knowledge_async, - task_id=task_id, - file_dir=tmpdir, - faiss_path=faiss_path, - enable_qa_extraction=False, - ) + background_tasks.add_task( + rag_service.add_knowledge_async, + task_id=task_id, + input_files=input_files, + faiss_path=faiss_path, + enable_qa_extraction=False, + ) return {"task_id": task_id} diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 87bf3a82..53463165 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -42,7 +42,7 @@ def config_url(self): @property def load_data_url(self): - return f"{self.endpoint}service/upload_local_data" + return f"{self.endpoint}service/upload_data" @property def get_load_state_url(self): @@ -110,25 +110,33 @@ def query_vector(self, text: str): response["answer"] = formatted_text return response - def add_knowledge(self, file_name: str, enable_qa_extraction: bool): - with open(file_name, "rb") as file_obj: + def add_knowledge(self, input_files: str, enable_qa_extraction: bool): + files = [] + file_obj_list = [] + for file_name in input_files: + file_obj = open(file_name, "rb") mimetype = mimetypes.guess_type(file_name)[0] - # maybe we can upload multiple files in the future - files = {"file": (os.path.basename(file_name), file_obj, mimetype)} - print(files) - # headers = {"content-type": "multipart/form-data"} + files.append(("files", (os.path.basename(file_name), file_obj, mimetype))) + file_obj_list.append(file_obj) + print(files) + try: r = requests.post( self.load_data_url, files=files, - # headers=headers, ) - r.raise_for_status() + r.raise_for_status() + except: + raise + finally: + for file_obj in file_obj_list: + file_obj.close() + response = dotdict(json.loads(r.text)) return response async def get_knowledge_state(self, task_id: str): - async with httpx.AsyncClient(timeout=None) as client: + async with httpx.AsyncClient() as client: r = await client.get(self.get_load_state_url, params={"task_id": task_id}) r.raise_for_status() response = dotdict(json.loads(r.text)) diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index ef9f45df..883b6a46 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -20,9 +20,11 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti ), ] + response = rag_client.add_knowledge( + [file.name for file in upload_files], enable_qa_extraction + ) my_upload_files = [] for file in upload_files: - response = rag_client.add_knowledge(file.name, enable_qa_extraction) my_upload_files.append( MyUploadFile(os.path.basename(file.name), response["task_id"]) ) diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 367ddcf7..85c656c0 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -32,14 +32,9 @@ def reload(self, config): self.initialize(config) self.logger.info("RagApplication reloaded successfully.") - # TODO: 大量文件上传实现异步添加 - async def aload_knowledge(self, file_dir, enable_qa_extraction=False): - data_loader = module_registry.get_module_with_config( - "DataLoaderModule", self.config - ) - await data_loader.aload(file_dir, enable_qa_extraction) - - def load_knowledge(self, file_dir, faiss_path=None, enable_qa_extraction=False): + async def aload_knowledge( + self, input_files, faiss_path=None, enable_qa_extraction=False + ): sessioned_config = self.config if faiss_path: sessioned_config = self.config.copy() @@ -51,7 +46,7 @@ def load_knowledge(self, file_dir, faiss_path=None, enable_qa_extraction=False): data_loader = module_registry.get_module_with_config( "DataLoaderModule", sessioned_config ) - data_loader.load(file_dir, enable_qa_extraction) + await data_loader.aload(input_files, enable_qa_extraction) async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: if not query.question: diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 9e75ff1d..9d26cb6a 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -11,7 +11,7 @@ LlmResponse, ) from openinference.instrumentation import using_attributes -from typing import Any +from typing import Any, List import logging TASK_STATUS_FILE = "__upload_task_status.tmp" @@ -87,7 +87,7 @@ def check_updates(self): async def add_knowledge_async( self, task_id: str, - file_dir: str, + input_files: List[str], faiss_path: str = None, enable_qa_extraction: bool = False, ): @@ -95,10 +95,9 @@ async def add_knowledge_async( with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id} processing\n") try: - if faiss_path: - self.rag.load_knowledge(file_dir, faiss_path, enable_qa_extraction) - else: - await self.rag.aload_knowledge(file_dir, enable_qa_extraction) + await self.rag.aload_knowledge( + input_files, faiss_path, enable_qa_extraction + ) with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id} completed\n") except Exception as ex: diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index b841c61e..3d4fa97f 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -1,9 +1,8 @@ import datetime import json import os -from typing import Any, Dict -import asyncio -import nest_asyncio +from typing import Any, Dict, List +from fastapi.concurrency import run_in_threadpool from llama_index.core import Settings from llama_index.core.schema import TextNode from llama_index.llms.huggingface import HuggingFaceLLM @@ -17,7 +16,6 @@ logger = logging.getLogger(__name__) - DEFAULT_LOCAL_QA_MODEL_PATH = "/huggingface/transformers/qwen_1.8b" DOC_TYPES_DO_NOT_NEED_CHUNKING = set([".csv", ".xlsx", ".md", ".xls", ".htm", ".html"]) @@ -64,8 +62,21 @@ def _extract_file_type(self, metadata: Dict[str, Any]): file_name = metadata.get("file_name", "dummy.txt") return os.path.splitext(file_name)[1] - async def aload(self, file_directory: str, enable_qa_extraction: bool): - data_reader = self.datareader_factory.get_reader(file_directory) + def _get_nodes(self, file_path: str | List[str], enable_qa_extraction: bool): + if isinstance(file_path, list): + input_files = [f for f in file_path if os.path.isfile(f)] + elif isinstance(file_path, str) and os.path.isdir(file_path): + import pathlib + + directory = pathlib.Path(file_path) + input_files = [f for f in directory.rglob("*") if os.path.isfile(f)] + else: + input_files = [file_path] + + if len(input_files) == 0: + return + + data_reader = self.datareader_factory.get_reader(input_files) docs = data_reader.load_data() logger.info(f"[DataReader] Loaded {len(docs)} docs.") @@ -94,7 +105,7 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): qa_nodes = [] for extractor in self.extractors: - metadata_list = await extractor.aextract(nodes) + metadata_list = extractor.extract(nodes) for i, node in enumerate(nodes): qa_extraction_result = metadata_list[i].get( "qa_extraction_result", {} @@ -114,9 +125,15 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): node.excluded_llm_metadata_keys.append("question") nodes.extend(qa_nodes) + return nodes + + def load(self, file_path: str | List[str], enable_qa_extraction: bool): + print(logger.level) + nodes = self._get_nodes(file_path, enable_qa_extraction) + logger.info("[DataReader] Start inserting to index.") - await self.index.vector_index.insert_nodes_async(nodes) + self.index.vector_index.insert_nodes(nodes) self.index.vector_index.storage_context.persist( persist_dir=self.index.persist_path ) @@ -131,6 +148,28 @@ async def aload(self, file_directory: str, enable_qa_extraction: bool): logger.info(f"Inserted {len(nodes)} nodes successfully.") return + async def aload(self, file_path: str | List[str], enable_qa_extraction: bool): + nodes = await run_in_threadpool( + lambda: self._get_nodes(file_path, enable_qa_extraction) + ) + + logger.info("[DataReader] Start inserting to index.") + + await self.index.vector_index.insert_nodes_async(nodes) + self.index.vector_index.storage_context.persist( + persist_dir=self.index.persist_path + ) + + index_metadata_file = os.path.join(self.index.persist_path, "index.metadata") + if self.bm25_index: + await run_in_threadpool(lambda: self.bm25_index.add_docs(nodes)) + metadata_str = json.dumps({"lastUpdated": f"{datetime.datetime.now()}"}) + with open(index_metadata_file, "w") as wf: + wf.write(metadata_str) + + logger.info(f"Inserted {len(nodes)} nodes successfully.") + return + async def aload_eval_data(self, name: str): logger.info("[DataReader-Evaluation Dataset]") if name == "miracl": @@ -160,7 +199,7 @@ async def aload_eval_data(self, name: str): self.index.persist_path, "index.metadata" ) if self.bm25_index: - self.bm25_index.add_docs(nodes) + await run_in_threadpool(lambda: self.bm25_index.add_docs(nodes)) metadata_str = json.dumps({"lastUpdated": f"{datetime.datetime.now()}"}) with open(index_metadata_file, "w") as wf: wf.write(metadata_str) @@ -171,9 +210,3 @@ async def aload_eval_data(self, name: str): return else: raise ValueError(f"Not supported eval dataset name with {name}") - - nest_asyncio.apply() # 应用嵌套补丁到事件循环 - - def load(self, file_directory: str, enable_qa_extraction: bool): - loop = asyncio.get_event_loop() - loop.run_until_complete(self.aload(file_directory, enable_qa_extraction)) diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 4e70acb5..0a8aca6a 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -4,8 +4,11 @@ from pathlib import Path from pai_rag.core.rag_configuration import RagConfiguration from pai_rag.modules.module_registry import module_registry +import logging -_BASE_DIR = Path(__file__).parent +logging.basicConfig(level=logging.INFO) + +_BASE_DIR = Path(__file__).parent.parent DEFAULT_APPLICATION_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") @@ -17,7 +20,10 @@ async def ingest_from_folder( self, folder_path: str, enable_qa_extraction: bool, name: str = None ): if not name: - await self.data_loader.aload(folder_path, enable_qa_extraction) + # call async method will get stuck + # maybe caused by run_in_thread wrapper we used to avoid blocking event loop + # when uploading large files + self.data_loader.load(folder_path, enable_qa_extraction) else: await self.data_loader.aload_eval_data(name) diff --git a/src/pai_rag/integrations/readers/llama_parse_reader.py b/src/pai_rag/integrations/readers/llama_parse_reader.py index 65acfbb7..f49e0af4 100644 --- a/src/pai_rag/integrations/readers/llama_parse_reader.py +++ b/src/pai_rag/integrations/readers/llama_parse_reader.py @@ -60,7 +60,14 @@ def __init__( api_key (str, optional): llama_parse api key. """ - super().__init__(input_dir) + super().__init__( + input_dir=input_dir, + input_files=input_files, + exclude=exclude, + exclude_hidden=exclude_hidden, + errors=errors, + ) + """ "markdown" and "text" are available""" if not api_key: api_key = os.getenv("LLAMA_CLOUD_API_KEY") diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 8c0b0c60..504b3e25 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -39,16 +39,16 @@ def _create_new_instance(self, new_params: Dict[str, Any]): } return self - def get_reader(self, directory: str): + def get_reader(self, input_files: str): if self.reader_config["type"] == "SimpleDirectoryReader": return SimpleDirectoryReader( - input_dir=directory, + input_files=input_files, file_extractor=self.file_readers, ) elif self.reader_config["type"] == "LlamaParseDirectoryReader": return LlamaParseDirectoryReader( - input_dir=directory, + input_files=input_files, api_key=self.reader_config["llama_cloud_api_key"], oss_cache=self.oss_cache, ) diff --git a/src/pai_rag/modules/index/index_daemon.py b/src/pai_rag/modules/index/index_daemon.py index 1efeea52..5983145e 100644 --- a/src/pai_rag/modules/index/index_daemon.py +++ b/src/pai_rag/modules/index/index_daemon.py @@ -47,7 +47,7 @@ async def refresh_async(self): index.reload() for bm25_index in bm25_indexes: - if bm25_index.persist_path == index_path: + if bm25_index and bm25_index.persist_path == index_path: logger.info( f"{datetime.datetime.now()} Reloading bm25 index." ) diff --git a/src/pai_rag/modules/index/my_vector_store_index.py b/src/pai_rag/modules/index/my_vector_store_index.py index b4fd3f5a..ea6e7027 100644 --- a/src/pai_rag/modules/index/my_vector_store_index.py +++ b/src/pai_rag/modules/index/my_vector_store_index.py @@ -7,6 +7,7 @@ import asyncio import logging from typing import Any, Sequence +from fastapi.concurrency import run_in_threadpool from llama_index.core import VectorStoreIndex from llama_index.core.data_structs.data_structs import IndexDict from llama_index.core.schema import ( @@ -80,8 +81,8 @@ async def _async_add_nodes_to_index( node_batch_list = [] for nodes_batch in iter_batch(nodes, 100): - nodes_batch = await self._aget_node_with_embedding( - nodes_batch, show_progress + nodes_batch = await run_in_threadpool( + lambda: self._get_node_with_embedding(nodes_batch, show_progress) ) node_batch_list.append(nodes_batch) diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index b8640eb2..e0f073df 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -13,7 +13,7 @@ @pytest.fixture -def rag_app(): +async def rag_app(): config_file = os.path.join(BASE_DIR, "src/pai_rag/config/settings.toml") config = RagConfiguration.from_file(config_file).get_value() @@ -25,7 +25,7 @@ def rag_app(): rag_app.initialize(config) data_dir = os.path.join(BASE_DIR, "tests/testdata/paul_graham") - rag_app.load_knowledge(data_dir) + await rag_app.aload_knowledge(data_dir) return rag_app From 93a4e67c5e7b16fe6cf24d36c718ae43690c5075 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Wed, 3 Jul 2024 18:11:09 +0800 Subject: [PATCH 24/69] Add client default timeout limitation and support UI interactive (#90) * Add client default timeout limitation and support UI interactive * support interactivate for vectordb type --- src/pai_rag/app/web/rag_client.py | 31 +++++++++++++-------- src/pai_rag/app/web/tabs/settings_tab.py | 5 ++++ src/pai_rag/app/web/tabs/vector_db_panel.py | 4 +++ 3 files changed, 29 insertions(+), 11 deletions(-) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 53463165..1523a69c 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -8,6 +8,8 @@ import mimetypes from pai_rag.app.web.view_model import ViewModel +DEFAULT_CLIENT_TIME_OUT = 60 + class dotdict(dict): """dot.notation access to dictionary attributes""" @@ -62,7 +64,7 @@ def get_evaluate_response_url(self): def query(self, text: str, session_id: str = None): q = dict(question=text, session_id=session_id) - r = requests.post(self.query_url, json=q) + r = requests.post(self.query_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) r.raise_for_status() response = dotdict(json.loads(r.text)) referenced_docs = "" @@ -88,7 +90,7 @@ def query_llm( session_id=session_id, ) - r = requests.post(self.llm_url, json=q) + r = requests.post(self.llm_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) r.raise_for_status() response = dotdict(json.loads(r.text)) @@ -96,7 +98,7 @@ def query_llm( def query_vector(self, text: str): q = dict(question=text) - r = requests.post(self.retrieval_url, json=q) + r = requests.post(self.retrieval_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) r.raise_for_status() response = dotdict(json.loads(r.text)) formatted_text = "DocumentScoreText\n" @@ -122,8 +124,7 @@ def add_knowledge(self, input_files: str, enable_qa_extraction: bool): try: r = requests.post( - self.load_data_url, - files=files, + self.load_data_url, files=files, timeout=DEFAULT_CLIENT_TIME_OUT ) r.raise_for_status() except: @@ -136,7 +137,7 @@ def add_knowledge(self, input_files: str, enable_qa_extraction: bool): return response async def get_knowledge_state(self, task_id: str): - async with httpx.AsyncClient() as client: + async with httpx.AsyncClient(timeout=DEFAULT_CLIENT_TIME_OUT) as client: r = await client.get(self.get_load_state_url, params={"task_id": task_id}) r.raise_for_status() response = dotdict(json.loads(r.text)) @@ -148,12 +149,14 @@ def patch_config(self, update_dict: Any): view_model.update(update_dict) new_config = view_model.to_app_config() - r = requests.patch(self.config_url, json=new_config) + r = requests.patch( + self.config_url, json=new_config, timeout=DEFAULT_CLIENT_TIME_OUT + ) r.raise_for_status() return def get_config(self): - r = requests.get(self.config_url) + r = requests.get(self.config_url, timeout=DEFAULT_CLIENT_TIME_OUT) r.raise_for_status() response = dotdict(json.loads(r.text)) print(response) @@ -161,20 +164,26 @@ def get_config(self): def evaluate_for_generate_qa(self, overwrite): r = requests.post( - self.get_evaluate_generate_url, params={"overwrite": overwrite} + self.get_evaluate_generate_url, + params={"overwrite": overwrite}, + timeout=DEFAULT_CLIENT_TIME_OUT, ) r.raise_for_status() response = dotdict(json.loads(r.text)) return response def evaluate_for_retrieval_stage(self): - r = requests.post(self.get_evaluate_retrieval_url) + r = requests.post( + self.get_evaluate_retrieval_url, timeout=DEFAULT_CLIENT_TIME_OUT + ) r.raise_for_status() response = dotdict(json.loads(r.text)) return response def evaluate_for_response_stage(self): - r = requests.post(self.get_evaluate_response_url) + r = requests.post( + self.get_evaluate_response_url, timeout=DEFAULT_CLIENT_TIME_OUT + ) r.raise_for_status() response = dotdict(json.loads(r.text)) print("evaluate_for_response_stage response", response) diff --git a/src/pai_rag/app/web/tabs/settings_tab.py b/src/pai_rag/app/web/tabs/settings_tab.py index 80e0892e..a5ad9af2 100644 --- a/src/pai_rag/app/web/tabs/settings_tab.py +++ b/src/pai_rag/app/web/tabs/settings_tab.py @@ -12,9 +12,12 @@ from pai_rag.app.web.utils import components_to_dict from pai_rag.app.web.tabs.vector_db_panel import create_vector_db_panel import logging +import os logger = logging.getLogger(__name__) +DEFAULT_IS_INTERACTIVE = os.environ.get("PAIRAG_RAG__SETTING__interactive", "true") + def connect_vector_db(input_elements: List[Any]): try: @@ -39,6 +42,7 @@ def create_setting_tab() -> Dict[str, Any]: EMBEDDING_API_KEY_DICT.keys(), label="Embedding Type", elem_id="embed_source", + interactive=DEFAULT_IS_INTERACTIVE.lower() != "false", ) embed_model = gr.Dropdown( EMBEDDING_DIM_DICT.keys(), @@ -88,6 +92,7 @@ def change_emb_model(model): ["PaiEas", "OpenAI", "DashScope"], label="LLM Model Source", elem_id="llm", + interactive=DEFAULT_IS_INTERACTIVE.lower() != "false", ) with gr.Column(visible=(llm == "PaiEas")) as eas_col: llm_eas_url = gr.Textbox( diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py index a2f196e7..dae7c594 100644 --- a/src/pai_rag/app/web/tabs/vector_db_panel.py +++ b/src/pai_rag/app/web/tabs/vector_db_panel.py @@ -1,6 +1,9 @@ import gradio as gr from typing import Any, Set, Callable, Dict from pai_rag.app.web.utils import components_to_dict +import os + +DEFAULT_IS_INTERACTIVE = os.environ.get("PAIRAG_RAG__SETTING__interactive", "true") def create_vector_db_panel( @@ -15,6 +18,7 @@ def create_vector_db_panel( ["Hologres", "Milvus", "ElasticSearch", "AnalyticDB", "FAISS"], label="Which VectorStore do you want to use?", elem_id="vectordb_type", + interactive=DEFAULT_IS_INTERACTIVE.lower() != "false", ) # Adb with gr.Column(visible=(vectordb_type == "AnalyticDB")) as adb_col: From 1f64f40fbb1c5c9cae2f78eff3761112817e71e5 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 4 Jul 2024 10:07:43 +0800 Subject: [PATCH 25/69] Fix ui issue (#91) --- README.md | 2 +- README_zh.md | 2 +- src/pai_rag/app/web/tabs/settings_tab.py | 12 ++++++------ src/pai_rag/app/web/webui.py | 2 +- 4 files changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 838c1ace..e720d8f4 100644 --- a/README.md +++ b/README.md @@ -184,7 +184,7 @@ It supports uploading local files through API and supports specifying different - upload_data ```bash -curl -X 'POST' http://127.0.0.1:8000/service/upload_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' +curl -X 'POST' http://127.0.0.1:8000/service/upload_data -H 'Content-Type: multipart/form-data' -F 'files=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' # Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} ``` diff --git a/README_zh.md b/README_zh.md index 4be71d1d..2c199943 100644 --- a/README_zh.md +++ b/README_zh.md @@ -184,7 +184,7 @@ docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com - 上传（upload_data） ```bash -curl -X 'POST' http://127.0.0.1:8000/service/upload_data -H 'Content-Type: multipart/form-data' -F 'file=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' +curl -X 'POST' http://127.0.0.1:8000/service/upload_data -H 'Content-Type: multipart/form-data' -F 'files=@local_path/PAI.txt' -F 'faiss_path=localdata/storage' # Return: {"task_id": "2c1e557733764fdb9fefa063538914da"} ``` diff --git a/src/pai_rag/app/web/tabs/settings_tab.py b/src/pai_rag/app/web/tabs/settings_tab.py index a5ad9af2..d8d5289d 100644 --- a/src/pai_rag/app/web/tabs/settings_tab.py +++ b/src/pai_rag/app/web/tabs/settings_tab.py @@ -67,21 +67,21 @@ def change_emb_source(source): else DEFAULT_EMBED_SIZE, } - def change_emb_model(model): + def change_emb_model(source, model): return { embed_dim: EMBEDDING_DIM_DICT.get(model, DEFAULT_EMBED_SIZE) - if embed_source == "HuggingFace" + if source == "HuggingFace" else DEFAULT_EMBED_SIZE, } - embed_source.change( + embed_source.input( fn=change_emb_source, inputs=embed_source, outputs=[embed_model, embed_dim], ) - embed_model.change( + embed_model.input( fn=change_emb_model, - inputs=embed_model, + inputs=[embed_source, embed_model], outputs=[embed_dim], ) components.extend([embed_source, embed_dim, embed_model, embed_batch_size]) @@ -137,7 +137,7 @@ def change_llm(value): ), } - llm.change( + llm.input( fn=change_llm, inputs=llm, outputs=[eas_col, api_llm_col, llm_api_model_name], diff --git a/src/pai_rag/app/web/webui.py b/src/pai_rag/app/web/webui.py index 5d811b49..9a8d1be0 100644 --- a/src/pai_rag/app/web/webui.py +++ b/src/pai_rag/app/web/webui.py @@ -29,7 +29,7 @@ def resume_ui(): elem_attr = component_settings[elem_id] elem = elem_manager.get_elem_by_id(elem_id=elem_id) # For gradio version 3.41.0, we can remove .value for latest gradio here. - outputs[elem] = elem.__class__(**elem_attr).value + outputs[elem] = gr.update(**elem_attr) # if elem_id == "qa_dataset_file": # outputs[elem] = elem_attr["value"] # else: From e4ce1339d607b0115ef7e7f3ceb920018cbf62e4 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 4 Jul 2024 11:38:54 +0800 Subject: [PATCH 26/69] Fix deps and add gpu ci tests (#92) * Fix deps and add gpu ci tests * Don't send report in 2nd pipeline --- .github/workflows/main_gpu.yml | 56 ++++++++++++++++++++ poetry.lock | 93 ++++++++++++++++------------------ pyproject.toml | 1 + pyproject_gpu.toml | 1 + 4 files changed, 101 insertions(+), 50 deletions(-) create mode 100644 .github/workflows/main_gpu.yml diff --git a/.github/workflows/main_gpu.yml b/.github/workflows/main_gpu.yml new file mode 100644 index 00000000..71a179d7 --- /dev/null +++ b/.github/workflows/main_gpu.yml @@ -0,0 +1,56 @@ +name: PAI-RAG CI (GPU) + +on: + pull_request: + # Sequence of patterns matched against refs/heads + branches: + - main + - feature + - "releases/**" + +permissions: + contents: read + pull-requests: write + +jobs: + build: + name: Build and Test GPU version + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + - name: Set up Python 3.10 + # This is the version of the action for setting up Python, not the Python version. + uses: actions/setup-python@v5 + with: + # Semantic version range syntax or exact version of a Python version + python-version: "3.10" + # Optional - x64 or x86 architecture, defaults to x64 + architecture: "x64" + + - name: Install Dependencies + run: | + mv pyproject_gpu.toml pyproject.toml && rm poetry.lock + python -m pip install --upgrade pip setuptools wheel + pip install poetry + poetry install + env: + POETRY_VIRTUALENVS_CREATE: false + + - name: Install pre-commit + shell: bash + run: poetry run pip install pre-commit + + - name: Run Linter + shell: bash + run: poetry run make lint + + - name: Run Tests + run: | + make coveragetest + env: + DASHSCOPE_API_KEY: ${{ secrets.TESTDASHSCOPEKEY }} + IS_PAI_RAG_CI_TEST: true + PAIRAG_RAG__embedding__source: "DashScope" + PAIRAG_RAG__llm__source: "DashScope" + PAIRAG_RAG__llm__name: "qwen-turbo" diff --git a/poetry.lock b/poetry.lock index 13076b5e..b2e61fed 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "accelerate" @@ -2065,26 +2065,23 @@ examples = ["oauth2"] [[package]] name = "google-api-core" -version = "2.19.0" +version = "2.8.2" description = "Google API client core library" optional = false -python-versions = ">=3.7" +python-versions = ">=3.6" files = [ - {file = "google-api-core-2.19.0.tar.gz", hash = "sha256:cf1b7c2694047886d2af1128a03ae99e391108a08804f87cfd35970e49c9cd10"}, - {file = "google_api_core-2.19.0-py3-none-any.whl", hash = "sha256:8661eec4078c35428fd3f69a2c7ee29e342896b70f01d1a1cbcb334372dd6251"}, + {file = "google-api-core-2.8.2.tar.gz", hash = "sha256:06f7244c640322b508b125903bb5701bebabce8832f85aba9335ec00b3d02edc"}, + {file = "google_api_core-2.8.2-py3-none-any.whl", hash = "sha256:93c6a91ccac79079ac6bbf8b74ee75db970cc899278b97d53bc012f35908cf50"}, ] [package.dependencies] -google-auth = ">=2.14.1,<3.0.dev0" -googleapis-common-protos = ">=1.56.2,<2.0.dev0" -proto-plus = ">=1.22.3,<2.0.0dev" -protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || 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"zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "ec41485cb8210a18ab1d6b6b546396f5ec4271d57a9a4188cd27253d8c91ab7e" +content-hash = "0abaad45a8218024dbe142ef06cbeead07b6891992ec5d324e570c556f7326fb" diff --git a/pyproject.toml b/pyproject.toml index 7730fede..013e2f3b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -74,6 +74,7 @@ markdown = "^3.6" chardet = "^5.2.0" locust = "^2.29.0" gunicorn = "^22.0.0" +protobuf = "3.20.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index c5b63d9e..a96f07eb 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -66,6 +66,7 @@ markdown = "^3.6" chardet = "^5.2.0" locust = "^2.29.0" gunicorn = "^22.0.0" +protobuf = "3.20.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" From 2424ee634f5e32cb0c8751add7f699666b675afe Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Thu, 4 Jul 2024 17:08:02 +0800 Subject: [PATCH 27/69] Fix empty response for empty knowledge base (#93) * Fix empty response for empty knowledge base * Add constant for empty response message --- src/pai_rag/app/web/rag_client.py | 39 ++++++++++++++++++----------- src/pai_rag/app/web/ui_constants.py | 2 ++ 2 files changed, 26 insertions(+), 15 deletions(-) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 1523a69c..a501dc0c 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -7,6 +7,7 @@ import os import mimetypes from pai_rag.app.web.view_model import ViewModel +from pai_rag.app.web.ui_constants import EMPTY_KNOWLEDGEBASE_MESSAGE DEFAULT_CLIENT_TIME_OUT = 60 @@ -67,15 +68,18 @@ def query(self, text: str, session_id: str = None): r = requests.post(self.query_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) r.raise_for_status() response = dotdict(json.loads(r.text)) - referenced_docs = "" - for i, doc in enumerate(response["docs"]): - referenced_docs += f'[{i+1}]: {doc["metadata"]["file_name"][33:]} Score:{doc["score"]} \n' - - if session_id: - formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + if len(response["docs"]) == 0: + response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE else: - formatted_text = f'**Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' - response["answer"] = formatted_text + referenced_docs = "" + for i, doc in enumerate(response["docs"]): + referenced_docs += f'[{i+1}]: {doc["metadata"]["file_name"][33:]} Score:{doc["score"]} \n' + + if session_id: + formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + else: + formatted_text = f'**Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + response["answer"] = formatted_text return response def query_llm( @@ -102,14 +106,19 @@ def query_vector(self, text: str): r.raise_for_status() response = dotdict(json.loads(r.text)) formatted_text = "DocumentScoreText\n" - for i, doc in enumerate(response["docs"]): - html_content = markdown.markdown(doc["text"]) - safe_html_content = html.escape(html_content).replace("\n", "
") - formatted_text += 'Doc {}{}{}\n'.format( - i + 1, doc["score"], safe_html_content + if len(response["docs"]) == 0: + response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE + else: + for i, doc in enumerate(response["docs"]): + html_content = markdown.markdown(doc["text"]) + safe_html_content = html.escape(html_content).replace("\n", "
") + formatted_text += 'Doc {}{}{}\n'.format( + i + 1, doc["score"], safe_html_content + ) + formatted_text = ( + "\n\n" + formatted_text + "\n
" ) - formatted_text = "\n\n" + formatted_text + "\n
" - response["answer"] = formatted_text + response["answer"] = formatted_text return response def add_knowledge(self, input_files: str, enable_qa_extraction: bool): diff --git a/src/pai_rag/app/web/ui_constants.py b/src/pai_rag/app/web/ui_constants.py index 872e2256..d6586fce 100644 --- a/src/pai_rag/app/web/ui_constants.py +++ b/src/pai_rag/app/web/ui_constants.py @@ -52,3 +52,5 @@ "gpt-4-turbo", ], } + +EMPTY_KNOWLEDGEBASE_MESSAGE = "The knowledge base is empty. Kindly upload your knowledge files before executing a query." From 7795ab1b890d3671d48c665231eeedac768bf480 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 4 Jul 2024 20:14:15 +0800 Subject: [PATCH 28/69] Fix dup nodes (#94) --- src/pai_rag/app/api/query.py | 7 +++++-- src/pai_rag/core/rag_configuration.py | 3 ++- src/pai_rag/data/rag_dataloader.py | 2 -- src/pai_rag/modules/nodeparser/node_parser.py | 2 +- 4 files changed, 8 insertions(+), 6 deletions(-) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 19e2314b..c2ad2c4a 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -1,6 +1,7 @@ from typing import Any, List from fastapi import APIRouter, Body, BackgroundTasks, UploadFile, Form import uuid +import hashlib import os import tempfile from pai_rag.core.rag_service import rag_service @@ -96,9 +97,11 @@ async def upload_data( input_files = [] for file in files: fn = file.filename - save_file = os.path.join(tmpdir, f"{task_id}_{fn}") + data = await file.read() + file_hash = hashlib.md5(data).hexdigest() + save_file = os.path.join(tmpdir, f"{file_hash}_{fn}") + with open(save_file, "wb") as f: - data = await file.read() f.write(data) f.close() input_files.append(save_file) diff --git a/src/pai_rag/core/rag_configuration.py b/src/pai_rag/core/rag_configuration.py index 5ce01650..729e20f5 100644 --- a/src/pai_rag/core/rag_configuration.py +++ b/src/pai_rag/core/rag_configuration.py @@ -17,7 +17,8 @@ def from_snapshot(cls): try: settings_files = [GENERATED_CONFIG_FILE_NAME] config = Dynaconf( - envvar_prefix="PAIRAG", + # don't respect env when checking snapshot + envvar_prefix="SOME_DUMMY_PREFIX", settings_file=settings_files, merge=True, ) diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 3d4fa97f..c042d5a4 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -128,11 +128,9 @@ def _get_nodes(self, file_path: str | List[str], enable_qa_extraction: bool): return nodes def load(self, file_path: str | List[str], enable_qa_extraction: bool): - print(logger.level) nodes = self._get_nodes(file_path, enable_qa_extraction) logger.info("[DataReader] Start inserting to index.") - self.index.vector_index.insert_nodes(nodes) self.index.vector_index.storage_context.persist( persist_dir=self.index.persist_path diff --git a/src/pai_rag/modules/nodeparser/node_parser.py b/src/pai_rag/modules/nodeparser/node_parser.py index a288c9bc..2df41db0 100644 --- a/src/pai_rag/modules/nodeparser/node_parser.py +++ b/src/pai_rag/modules/nodeparser/node_parser.py @@ -20,7 +20,7 @@ def node_id_hash(i: int, doc: BaseNode) -> str: - encoded_raw_text = f"<<{i}>>{doc.metadata}".encode() + encoded_raw_text = f"""<<{i}>>{doc.metadata["file_name"]}""".encode() hash = hashlib.sha256(encoded_raw_text).hexdigest() return hash From 9a9840f6eeed22eb0b8d3649fd16fac08bc9329f Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Fri, 5 Jul 2024 10:18:37 +0800 Subject: [PATCH 29/69] Add error handling (#96) * Add error handling * Add upload error msg --- src/pai_rag/app/api/error_handler.py | 19 ++++ src/pai_rag/app/api/query.py | 4 +- src/pai_rag/app/api/service.py | 2 + src/pai_rag/app/web/rag_client.py | 48 +++++--- src/pai_rag/app/web/tabs/chat_tab.py | 33 +++--- src/pai_rag/app/web/tabs/eval_tab.py | 20 +++- src/pai_rag/app/web/tabs/settings_tab.py | 8 +- src/pai_rag/app/web/tabs/upload_tab.py | 38 +++++-- src/pai_rag/core/models/errors.py | 8 ++ src/pai_rag/core/rag_service.py | 103 ++++++++++++------ .../modules/datareader/datareader_factory.py | 1 + src/pai_rag/modules/index/index_utils.py | 2 - src/pai_rag/modules/llm/my_dashscope.py | 9 ++ 13 files changed, 212 insertions(+), 83 deletions(-) create mode 100644 src/pai_rag/app/api/error_handler.py create mode 100644 src/pai_rag/core/models/errors.py diff --git a/src/pai_rag/app/api/error_handler.py b/src/pai_rag/app/api/error_handler.py new file mode 100644 index 00000000..d69a4c1a --- /dev/null +++ b/src/pai_rag/app/api/error_handler.py @@ -0,0 +1,19 @@ +from fastapi import FastAPI, Request +from fastapi.responses import JSONResponse +from pai_rag.core.models.errors import UserInputError, ServiceError + + +async def user_input_exception_handler(request: Request, exception: UserInputError): + return JSONResponse( + status_code=400, + content={"message": f"Failed to process request input: {exception.msg}"}, + ) + + +async def service_exception_handler(request: Request, exception: ServiceError): + return JSONResponse(status_code=500, content={"message": f"Oops, {exception.msg}"}) + + +def config_app_errors(app: FastAPI): + app.add_exception_handler(UserInputError, user_input_exception_handler) + app.add_exception_handler(ServiceError, service_exception_handler) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index c2ad2c4a..2ceea7d3 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -49,8 +49,8 @@ async def aconfig(): @router.get("/get_upload_state") def task_status(task_id: str): - status = rag_service.get_task_status(task_id) - return {"task_id": task_id, "status": status} + status, detail = rag_service.get_task_status(task_id) + return {"task_id": task_id, "status": status, "detail": detail} @router.post("/evaluate") diff --git a/src/pai_rag/app/api/service.py b/src/pai_rag/app/api/service.py index 73b7d630..96c54ea8 100644 --- a/src/pai_rag/app/api/service.py +++ b/src/pai_rag/app/api/service.py @@ -2,6 +2,7 @@ from pai_rag.core.rag_service import rag_service from pai_rag.app.api import query from pai_rag.app.api.middleware import init_middleware +from pai_rag.app.api.error_handler import config_app_errors def init_router(app: FastAPI): @@ -14,3 +15,4 @@ def configure_app(app: FastAPI, config_file: str): rag_service.initialize(config_file) init_middleware(app) init_router(app) + config_app_errors(app) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index a501dc0c..e8ef8b1c 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -6,12 +6,19 @@ import httpx import os import mimetypes +from http import HTTPStatus from pai_rag.app.web.view_model import ViewModel from pai_rag.app.web.ui_constants import EMPTY_KNOWLEDGEBASE_MESSAGE DEFAULT_CLIENT_TIME_OUT = 60 +class RagApiError(Exception): + def __init__(self, code, msg): + self.code = code + self.msg = msg + + class dotdict(dict): """dot.notation access to dictionary attributes""" @@ -66,8 +73,10 @@ def get_evaluate_response_url(self): def query(self, text: str, session_id: str = None): q = dict(question=text, session_id=session_id) r = requests.post(self.query_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) - r.raise_for_status() response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) + if len(response["docs"]) == 0: response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE else: @@ -95,16 +104,19 @@ def query_llm( ) r = requests.post(self.llm_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) - r.raise_for_status() response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) return response def query_vector(self, text: str): q = dict(question=text) r = requests.post(self.retrieval_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) - r.raise_for_status() response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) + formatted_text = "DocumentScoreText\n" if len(response["docs"]) == 0: response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE @@ -129,15 +141,14 @@ def add_knowledge(self, input_files: str, enable_qa_extraction: bool): mimetype = mimetypes.guess_type(file_name)[0] files.append(("files", (os.path.basename(file_name), file_obj, mimetype))) file_obj_list.append(file_obj) - print(files) try: r = requests.post( self.load_data_url, files=files, timeout=DEFAULT_CLIENT_TIME_OUT ) - r.raise_for_status() - except: - raise + response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) finally: for file_obj in file_obj_list: file_obj.close() @@ -148,8 +159,9 @@ def add_knowledge(self, input_files: str, enable_qa_extraction: bool): async def get_knowledge_state(self, task_id: str): async with httpx.AsyncClient(timeout=DEFAULT_CLIENT_TIME_OUT) as client: r = await client.get(self.get_load_state_url, params={"task_id": task_id}) - r.raise_for_status() response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) return response def patch_config(self, update_dict: Any): @@ -161,14 +173,15 @@ def patch_config(self, update_dict: Any): r = requests.patch( self.config_url, json=new_config, timeout=DEFAULT_CLIENT_TIME_OUT ) - r.raise_for_status() - return + response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) def get_config(self): r = requests.get(self.config_url, timeout=DEFAULT_CLIENT_TIME_OUT) - r.raise_for_status() response = dotdict(json.loads(r.text)) - print(response) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) return response def evaluate_for_generate_qa(self, overwrite): @@ -177,24 +190,29 @@ def evaluate_for_generate_qa(self, overwrite): params={"overwrite": overwrite}, timeout=DEFAULT_CLIENT_TIME_OUT, ) - r.raise_for_status() response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) return response def evaluate_for_retrieval_stage(self): r = requests.post( self.get_evaluate_retrieval_url, timeout=DEFAULT_CLIENT_TIME_OUT ) - r.raise_for_status() response = dotdict(json.loads(r.text)) + + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) + return response def evaluate_for_response_stage(self): r = requests.post( self.get_evaluate_response_url, timeout=DEFAULT_CLIENT_TIME_OUT ) - r.raise_for_status() response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) print("evaluate_for_response_stage response", response) diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index dc3bb879..213e6290 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -1,6 +1,6 @@ from typing import Dict, Any, List import gradio as gr -from pai_rag.app.web.rag_client import rag_client +from pai_rag.app.web.rag_client import RagApiError, rag_client from pai_rag.app.web.ui_constants import ( SIMPLE_PROMPTS, GENERAL_PROMPTS, @@ -30,7 +30,10 @@ def respond(input_elements: List[Any]): if not update_dict["question"]: return "", update_dict["chatbot"], 0 - rag_client.patch_config(update_dict) + try: + rag_client.patch_config(update_dict) + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") query_type = update_dict["query_type"] msg = update_dict["question"] @@ -39,17 +42,21 @@ def respond(input_elements: List[Any]): if not update_dict["include_history"]: current_session_id = None - if query_type == "LLM": - response = rag_client.query_llm( - msg, - session_id=current_session_id, - ) - current_session_id = response.session_id - elif query_type == "Retrieval": - response = rag_client.query_vector(msg) - else: - response = rag_client.query(msg, session_id=current_session_id) - current_session_id = response.session_id + try: + if query_type == "LLM": + response = rag_client.query_llm( + msg, + session_id=current_session_id, + ) + current_session_id = response.session_id + elif query_type == "Retrieval": + response = rag_client.query_vector(msg) + else: + response = rag_client.query(msg, session_id=current_session_id) + current_session_id = response.session_id + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") + chatbot.append((msg, response.answer)) return "", chatbot, 0 diff --git a/src/pai_rag/app/web/tabs/eval_tab.py b/src/pai_rag/app/web/tabs/eval_tab.py index b8c33ab8..6b39e4d7 100644 --- a/src/pai_rag/app/web/tabs/eval_tab.py +++ b/src/pai_rag/app/web/tabs/eval_tab.py @@ -1,7 +1,7 @@ import os from typing import Dict, Any import gradio as gr -from pai_rag.app.web.rag_client import rag_client +from pai_rag.app.web.rag_client import RagApiError, rag_client import tempfile import json import pandas as pd @@ -10,7 +10,11 @@ def generate_and_download_qa_file(overwrite): tmpdir = tempfile.mkdtemp() - qa_content = rag_client.evaluate_for_generate_qa(bool(overwrite)) + try: + qa_content = rag_client.evaluate_for_generate_qa(bool(overwrite)) + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") + outputPath = os.path.join(tmpdir, "qa_dataset_output.json") with open(outputPath, "w", encoding="utf-8") as f: json.dump(qa_content, f, ensure_ascii=False, indent=4) @@ -18,7 +22,11 @@ def generate_and_download_qa_file(overwrite): def eval_retrieval_stage(): - retrieval_res = rag_client.evaluate_for_retrieval_stage() + try: + retrieval_res = rag_client.evaluate_for_retrieval_stage() + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") + formatted_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") pd_results = { "Metrics": ["HitRate", "MRR", "LastModified"], @@ -32,7 +40,11 @@ def eval_retrieval_stage(): def eval_response_stage(): - response_res = rag_client.evaluate_for_response_stage() + try: + response_res = rag_client.evaluate_for_response_stage() + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") + formatted_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S") pd_results = { "Metrics": ["Faithfulness", "Correctness", "Similarity", "LastModified"], diff --git a/src/pai_rag/app/web/tabs/settings_tab.py b/src/pai_rag/app/web/tabs/settings_tab.py index d8d5289d..1f87f164 100644 --- a/src/pai_rag/app/web/tabs/settings_tab.py +++ b/src/pai_rag/app/web/tabs/settings_tab.py @@ -1,14 +1,13 @@ from typing import Dict, Any, List import gradio as gr import datetime -import traceback from pai_rag.app.web.ui_constants import ( EMBEDDING_API_KEY_DICT, DEFAULT_EMBED_SIZE, EMBEDDING_DIM_DICT, LLM_MODEL_KEY_DICT, ) -from pai_rag.app.web.rag_client import rag_client +from pai_rag.app.web.rag_client import RagApiError, rag_client from pai_rag.app.web.utils import components_to_dict from pai_rag.app.web.tabs.vector_db_panel import create_vector_db_panel import logging @@ -27,9 +26,8 @@ def connect_vector_db(input_elements: List[Any]): rag_client.patch_config(update_dict) return f"[{datetime.datetime.now()}] Connect vector db success!" - except Exception as ex: - logger.critical(f"[Critical] Connect failed. {traceback.format_exc()}") - return f"Connect failed. Please check: {ex}" + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") def create_setting_tab() -> Dict[str, Any]: diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index 883b6a46..f8f473cf 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -2,14 +2,22 @@ from typing import Dict, Any import gradio as gr import time -from pai_rag.app.web.rag_client import rag_client +from pai_rag.app.web.rag_client import RagApiError, rag_client from pai_rag.utils.file_utils import MyUploadFile import pandas as pd import asyncio def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extraction): - rag_client.patch_config({"chunk_size": chunk_size, "chunk_overlap": chunk_overlap}) + if not upload_files: + return + + try: + rag_client.patch_config( + {"chunk_size": chunk_size, "chunk_overlap": chunk_overlap} + ) + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") if not upload_files: yield [ @@ -20,9 +28,13 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti ), ] - response = rag_client.add_knowledge( - [file.name for file in upload_files], enable_qa_extraction - ) + try: + response = rag_client.add_knowledge( + [file.name for file in upload_files], enable_qa_extraction + ) + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") + my_upload_files = [] for file in upload_files: my_upload_files.append( @@ -30,25 +42,37 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti ) result = {"Info": ["StartTime", "EndTime", "Duration(s)", "Status"]} + error_msg = "" while not all(file.finished is True for file in my_upload_files): for file in my_upload_files: - response = asyncio.run(rag_client.get_knowledge_state(str(file.task_id))) + try: + response = asyncio.run( + rag_client.get_knowledge_state(str(file.task_id)) + ) + except RagApiError as api_error: + raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") + file.update_state(response["status"]) file.update_process_duration() result[file.file_name] = file.__info__() if response["status"] in ["completed", "failed"]: file.is_finished() + if response["detail"]: + error_msg = response["detail"] yield [ gr.update(visible=True, value=pd.DataFrame(result)), gr.update(visible=False), ] time.sleep(2) + upload_result = "Upload success." + if error_msg: + upload_result = f"Upload failed: {error_msg}" yield [ gr.update(visible=True, value=pd.DataFrame(result)), gr.update( visible=True, - value="Uploaded all files successfully! \n Relevant content has been added to the vector store, you can now start chatting and asking questions.", + value=upload_result, ), ] diff --git a/src/pai_rag/core/models/errors.py b/src/pai_rag/core/models/errors.py new file mode 100644 index 00000000..12e3b6ba --- /dev/null +++ b/src/pai_rag/core/models/errors.py @@ -0,0 +1,8 @@ +class UserInputError(Exception): + def __init__(self, msg: str): + self.msg = msg + + +class ServiceError(Exception): + def __init__(self, msg: str): + self.msg = msg diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 9d26cb6a..08c11621 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -1,6 +1,7 @@ import asyncio import os from asgi_correlation_id import correlation_id +from pai_rag.core.models.errors import ServiceError, UserInputError from pai_rag.core.rag_application import RagApplication from pai_rag.core.rag_configuration import RagConfiguration from pai_rag.app.api.models import ( @@ -55,25 +56,31 @@ def initialize(self, config_file: str): open(TASK_STATUS_FILE, "w").close() def get_config(self): - self.check_updates() + try: + self.check_updates() + except Exception as ex: + raise ServiceError(f"Get RAG configuration failed: {ex}") return self.config_dict_value def reload(self, new_config: Any = None): - rag_snapshot = RagConfiguration.from_snapshot() - if new_config: - # 多worker模式，读取最新的setting - rag_snapshot.update(new_config) - config_snapshot = rag_snapshot.get_value() - - new_dict_value = config_snapshot.to_dict() - if self.config_dict_value != new_dict_value: - logger.debug("Config changed, reload") - self.rag.reload(config_snapshot) - self.config_dict_value = new_dict_value - self.rag_configuration = rag_snapshot - self.rag_configuration.persist() - else: - logger.debug("Config not changed, not reload") + try: + rag_snapshot = RagConfiguration.from_snapshot() + if new_config: + # 多worker模式，读取最新的setting + rag_snapshot.update(new_config) + config_snapshot = rag_snapshot.get_value() + + new_dict_value = config_snapshot.to_dict() + if self.config_dict_value != new_dict_value: + logger.debug("Config changed, reload") + self.rag.reload(config_snapshot) + self.config_dict_value = new_dict_value + self.rag_configuration = rag_snapshot + self.rag_configuration.persist() + else: + logger.debug("Config not changed, not reload") + except Exception as ex: + raise UserInputError(f"Update RAG configuration failed: {ex}") def check_updates(self): logger.info("Checking updates") @@ -93,55 +100,81 @@ async def add_knowledge_async( ): self.check_updates() with open(TASK_STATUS_FILE, "a") as f: - f.write(f"{task_id} processing\n") + f.write(f"{task_id}\tprocessing\n") try: await self.rag.aload_knowledge( input_files, faiss_path, enable_qa_extraction ) with open(TASK_STATUS_FILE, "a") as f: - f.write(f"{task_id} completed\n") + f.write(f"{task_id}\tcompleted\n") except Exception as ex: - logger.error(f"Upload failed: {ex}") + logger.error(f"Upload failed: {ex} {str(ex.__cause__)}") with open(TASK_STATUS_FILE, "a") as f: - f.write(f"{task_id} failed\n") - raise + detail = f"{ex}: {str(ex.__cause__)}".replace("\t", " ").replace( + "\n", " " + ) + f.write(f"{task_id}\tfailed\t{detail}\n") + raise UserInputError(f"Upload knowledge failed: {ex}") def get_task_status(self, task_id: str) -> str: self.check_updates() - default_status = "unknown" + status = "unknown" + detail = None if not os.path.exists(TASK_STATUS_FILE): - return default_status + return status lines = open(TASK_STATUS_FILE).readlines() for line in lines[::-1]: if line.startswith(task_id): - return line.strip().split(" ")[1] + parts = line.strip().split("\t") + status = parts[1] + if len(parts) == 3: + detail = parts[2] + break - return default_status + return status, detail async def aquery(self, query: RagQuery) -> RagResponse: - self.check_updates() - return await self.rag.aquery(query) + try: + self.check_updates() + return await self.rag.aquery(query) + except Exception as ex: + raise UserInputError(f"Query RAG failed: {ex}") async def aquery_llm(self, query: LlmQuery) -> LlmResponse: - self.check_updates() - return await self.rag.aquery_llm(query) + try: + self.check_updates() + return await self.rag.aquery_llm(query) + except Exception as ex: + raise UserInputError(f"Query RAG failed: {ex}") async def aquery_retrieval(self, query: RetrievalQuery): - self.check_updates() - return await self.rag.aquery_retrieval(query) + try: + self.check_updates() + return await self.rag.aquery_retrieval(query) + except Exception as ex: + raise UserInputError(f"Query RAG failed: {ex}") async def aquery_agent(self, query: LlmQuery) -> LlmResponse: - self.check_updates() - return await self.rag.aquery_agent(query) + try: + self.check_updates() + return await self.rag.aquery_agent(query) + except Exception as ex: + raise UserInputError(f"Query RAG failed: {ex}") async def aload_evaluation_qa_dataset(self, overwrite: bool = False): - return await self.rag.aload_evaluation_qa_dataset(overwrite) + try: + return await self.rag.aload_evaluation_qa_dataset(overwrite) + except Exception as ex: + raise UserInputError(f"Query RAG failed: {ex}") async def aevaluate_retrieval_and_response( self, type: str = "all", overwrite: bool = False ): - return await self.rag.aevaluate_retrieval_and_response(type, overwrite) + try: + return await self.rag.aevaluate_retrieval_and_response(type, overwrite) + except Exception as ex: + raise UserInputError(f"Query RAG failed: {ex}") rag_service = RagService() diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 504b3e25..6d4658a5 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -44,6 +44,7 @@ def get_reader(self, input_files: str): return SimpleDirectoryReader( input_files=input_files, file_extractor=self.file_readers, + raise_on_error=True, ) elif self.reader_config["type"] == "LlamaParseDirectoryReader": diff --git a/src/pai_rag/modules/index/index_utils.py b/src/pai_rag/modules/index/index_utils.py index 8f1ff4e5..83bf4795 100644 --- a/src/pai_rag/modules/index/index_utils.py +++ b/src/pai_rag/modules/index/index_utils.py @@ -69,10 +69,8 @@ def load_indices_from_storage( **kwargs: Additional keyword args to pass to the index constructors. """ if index_ids is None: - logger.info("Loading all indices.") index_structs = storage_context.index_store.index_structs() else: - logger.info(f"Loading indices with ids: {index_ids}") index_structs = [] for index_id in index_ids: index_struct = storage_context.index_store.get_index_struct(index_id) diff --git a/src/pai_rag/modules/llm/my_dashscope.py b/src/pai_rag/modules/llm/my_dashscope.py index d6e89d80..84a3bacf 100644 --- a/src/pai_rag/modules/llm/my_dashscope.py +++ b/src/pai_rag/modules/llm/my_dashscope.py @@ -342,12 +342,17 @@ async def achat( parameters.pop("stream", None) parameters.pop("incremental_output", None) parameters["result_format"] = "message" # only use message format. + response = await call_with_messages_async( model=self.model_name, messages=chat_message_to_dashscope_messages(messages), api_key=self.api_key, parameters=parameters, ) + if response["status_code"] != HTTPStatus.OK: + raise ValueError( + f"Call DashScope API failed, {response['code']}: {response['message']}" + ) return dashscope_response_to_chat_response(response) @llm_completion_callback() @@ -362,4 +367,8 @@ async def acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponse: api_key=self.api_key, parameters=parameters, ) + if response["status_code"] != HTTPStatus.OK: + raise ValueError( + f"Call DashScope API failed, {response['code']}: {response['message']}" + ) return dashscope_response_to_completion_response(response) From 0d6368a5b1cbc86c8b3f6b2a122de1a1367fafeb Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Fri, 5 Jul 2024 10:53:26 +0800 Subject: [PATCH 30/69] fix data_loader (#95) * fix data_loader * fix data_loder * fix data_loader * fix data_loader --- README.md | 13 ++++- README_zh.md | 13 ++++- example_data/pai_document.pdf | Bin 0 -> 37969 bytes src/pai_rag/app/api/query.py | 1 + src/pai_rag/core/rag_application.py | 8 +++- src/pai_rag/core/rag_service.py | 3 +- src/pai_rag/data/rag_dataloader.py | 45 +++++++++++++++--- src/pai_rag/data/rag_datapipeline.py | 32 ++++++++++--- src/pai_rag/main.py | 23 ++++++++- .../modules/datareader/datareader_factory.py | 2 + 10 files changed, 119 insertions(+), 21 deletions(-) create mode 100644 example_data/pai_document.pdf diff --git a/README.md b/README.md index e720d8f4..7db96536 100644 --- a/README.md +++ b/README.md @@ -95,10 +95,19 @@ PAI-RAG is an easy-to-use opensource framework for modular RAG (Retrieval-Augmen 3. Load Data - Insert new files in the directory directory_path into the current index storage: + Insert new files in the data_path into the current index storage: ```bash - load_data -c src/pai_rag/config/settings.yaml -d directory_path + load_data -c src/pai_rag/config/settings.yaml -d data_path -p pattern + ``` + + path examples: + + ``` + a. load_data -d test/example + b. load_data -d test/example_data/pai_document.pdf + c. load_data -d test/example_data -p *.pdf + ``` 4. Run RAG Service diff --git a/README_zh.md b/README_zh.md index 2c199943..24b0a461 100644 --- a/README_zh.md +++ b/README_zh.md @@ -90,10 +90,19 @@ PAI-RAG 是一个易于使用的模块化 RAG（检索增强生成）开源框 3. 加载数据 - 向当前索引存储中插入directory_path目录下的新文件 + 向当前索引存储中插入data_path路径下的新文件 ```bash - load_data -c src/pai_rag/config/settings.yaml -d directory_path + load_data -c src/pai_rag/config/settings.yaml -d data_path -p pattern + ``` + + path examples: + + ``` + a. load_data -d test/example + b. load_data -d test/example_data/pai_document.pdf + c. load_data -d test/example_data -p *.pdf + ``` 4. 启动RAG服务 diff --git a/example_data/pai_document.pdf b/example_data/pai_document.pdf new file mode 100644 index 0000000000000000000000000000000000000000..6dddbf808da3546ec032dd850b8b2301bce69d08 GIT binary patch literal 37969 zcmb4p1yo#7wq+6sP6)1n!rk57U4sO7cXti$!QI{6o#5{75S-uym;%z>^ZWPA{He9x zyYHTRWS?`TYSr6>G6F)Bv{VeRP=uRXV^gqDv;Z1_rH%m+E&#QVrG?$AScnBc|0<;xVqpd_{8fO3;^G4O;|FT#TiDqG7+>T-0k4IH 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z-9R2F;GitfMyFQdLVxwPX=VZgSy+349G#D`pHsI(1Pt*{3!MT6|3n%71#&zF6puXm zFR1WT8Gqt%%9*&D*g60dK>(Hn08Ccs34(aUAO=4EL4e8A*&JAPgIQs~oOF1Q{`e0- zt%Lvy>)|&if55u+=pC#5ztW&WfDMO#Kc&GC0H$*)4FU$ke$5AkAdtVM2?@i0{SDw3 zgnvr|pv&K`MF8~TUw#*gKp=j<79c?Xk`D$!9=hq2&4-$9z_Rjmng}59_G=nIq6B8j z)Ag93Se%?E{w{FVmT_fs3WIs?SdLqu2{&>$4lvhp@R>TZH6 z_GkyzBSc#hNY`|503dbXGS RetrievalResponse: if not query.question: diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 08c11621..86bc0485 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -95,6 +95,7 @@ async def add_knowledge_async( self, task_id: str, input_files: List[str], + filter_pattern: str = None, faiss_path: str = None, enable_qa_extraction: bool = False, ): @@ -103,7 +104,7 @@ async def add_knowledge_async( f.write(f"{task_id}\tprocessing\n") try: await self.rag.aload_knowledge( - input_files, faiss_path, enable_qa_extraction + input_files, filter_pattern, faiss_path, enable_qa_extraction ) with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id}\tcompleted\n") diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index c042d5a4..a4916fea 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -6,19 +6,21 @@ from llama_index.core import Settings from llama_index.core.schema import TextNode from llama_index.llms.huggingface import HuggingFaceLLM +from llama_index.core.node_parser import MarkdownNodeParser from pai_rag.integrations.extractors.html_qa_extractor import HtmlQAExtractor from pai_rag.integrations.extractors.text_qa_extractor import TextQAExtractor from pai_rag.modules.nodeparser.node_parser import node_id_hash from pai_rag.data.open_dataset import MiraclOpenDataSet + import logging logger = logging.getLogger(__name__) DEFAULT_LOCAL_QA_MODEL_PATH = "/huggingface/transformers/qwen_1.8b" -DOC_TYPES_DO_NOT_NEED_CHUNKING = set([".csv", ".xlsx", ".md", ".xls", ".htm", ".html"]) +DOC_TYPES_DO_NOT_NEED_CHUNKING = set([".csv", ".xlsx", ".xls", ".htm", ".html"]) class RagDataLoader: @@ -62,14 +64,22 @@ def _extract_file_type(self, metadata: Dict[str, Any]): file_name = metadata.get("file_name", "dummy.txt") return os.path.splitext(file_name)[1] - def _get_nodes(self, file_path: str | List[str], enable_qa_extraction: bool): + def _get_nodes( + self, + file_path: str | List[str], + filter_pattern: str, + enable_qa_extraction: bool, + ): + filter_pattern = filter_pattern or "*" if isinstance(file_path, list): input_files = [f for f in file_path if os.path.isfile(f)] elif isinstance(file_path, str) and os.path.isdir(file_path): import pathlib directory = pathlib.Path(file_path) - input_files = [f for f in directory.rglob("*") if os.path.isfile(f)] + input_files = [ + f for f in directory.rglob(filter_pattern) if os.path.isfile(f) + ] else: input_files = [file_path] @@ -95,6 +105,9 @@ def _get_nodes(self, file_path: str | List[str], enable_qa_extraction: bool): nodes.append( TextNode(id_=node_id, text=doc.text, metadata=doc.metadata) ) + elif doc_type == ".md": + md_node_parser = MarkdownNodeParser() + nodes.extend(md_node_parser.get_nodes_from_documents([doc])) else: nodes.extend(self.node_parser.get_nodes_from_documents([doc])) @@ -127,8 +140,18 @@ def _get_nodes(self, file_path: str | List[str], enable_qa_extraction: bool): return nodes - def load(self, file_path: str | List[str], enable_qa_extraction: bool): - nodes = self._get_nodes(file_path, enable_qa_extraction) + def load( + self, + file_path: str | List[str], + filter_pattern: str, + enable_qa_extraction: bool, + ): + print(logger.level) + nodes = self._get_nodes(file_path, filter_pattern, enable_qa_extraction) + + if not nodes: + logger.info("[DataReader] could not find files") + return logger.info("[DataReader] Start inserting to index.") self.index.vector_index.insert_nodes(nodes) @@ -146,10 +169,18 @@ def load(self, file_path: str | List[str], enable_qa_extraction: bool): logger.info(f"Inserted {len(nodes)} nodes successfully.") return - async def aload(self, file_path: str | List[str], enable_qa_extraction: bool): + async def aload( + self, + file_path: str | List[str], + filter_pattern: str, + enable_qa_extraction: bool, + ): nodes = await run_in_threadpool( - lambda: self._get_nodes(file_path, enable_qa_extraction) + lambda: self._get_nodes(file_path, filter_pattern, enable_qa_extraction) ) + if not nodes: + logger.info("[DataReader] could not find files") + return logger.info("[DataReader] Start inserting to index.") diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 0a8aca6a..704fb88d 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -6,6 +6,9 @@ from pai_rag.modules.module_registry import module_registry import logging +logger = logging.getLogger(__name__) + + logging.basicConfig(level=logging.INFO) _BASE_DIR = Path(__file__).parent.parent @@ -16,14 +19,22 @@ class RagDataPipeline: def __init__(self, data_loader): self.data_loader = data_loader - async def ingest_from_folder( - self, folder_path: str, enable_qa_extraction: bool, name: str = None + async def ingest_from_input_path( + self, + input_path: str, + pattern: str, + enable_qa_extraction: bool, + name: str = None, ): if not name: # call async method will get stuck # maybe caused by run_in_thread wrapper we used to avoid blocking event loop # when uploading large files - self.data_loader.load(folder_path, enable_qa_extraction) + if isinstance(input_path, str) and os.path.isdir(input_path): + input_paths = input_path + else: + input_paths = [file.strip() for file in input_path.split(",")] + self.data_loader.load(input_paths, pattern, enable_qa_extraction) else: await self.data_loader.aload_eval_data(name) @@ -45,7 +56,14 @@ def __init_data_pipeline(config_file, use_local_qa_model): default=DEFAULT_APPLICATION_CONFIG_FILE, ) @click.option( - "-d", "--directory", required=False, default=None, help="directory path to ingest." + "-d", + "--data-path", + required=True, + default=None, + help="data path (file or directory) to ingest.", +) +@click.option( + "-p", "--pattern", required=False, default=None, help="data pattern to ingest." ) @click.option( "-q", @@ -72,6 +90,8 @@ def __init_data_pipeline(config_file, use_local_qa_model): help="Open Dataset Name. Optional: [miracl]", default=None, ) -def run(config, directory, extract_qa, use_local_qa_model, name): +def run(config, data_path, pattern, extract_qa, use_local_qa_model, name): data_pipeline = __init_data_pipeline(config, use_local_qa_model) - asyncio.run(data_pipeline.ingest_from_folder(directory, extract_qa, name)) + asyncio.run( + data_pipeline.ingest_from_input_path(data_path, pattern, extract_qa, name) + ) diff --git a/src/pai_rag/main.py b/src/pai_rag/main.py index 4a2cfa8a..0b3e198e 100644 --- a/src/pai_rag/main.py +++ b/src/pai_rag/main.py @@ -5,12 +5,17 @@ from fastapi import FastAPI from pai_rag.app.api.service import configure_app from pai_rag.app.web.webui import configure_webapp +from pai_rag.data.rag_datapipeline import __init_data_pipeline from logging.config import dictConfig import os from pathlib import Path _BASE_DIR = Path(__file__).parent +_ROOT_BASE_DIR = Path(__file__).parent.parent.parent DEFAULT_APPLICATION_CONFIG_FILE = os.path.join(_BASE_DIR, "config/settings.toml") +DEFAULT_APPLICATION_EXAMPLE_DATA_FILE = os.path.join( + _ROOT_BASE_DIR, "example_data/pai_document.pdf" +) DEFAULT_HOST = "0.0.0.0" DEFAULT_PORT = 8001 DEFAULT_RAG_URL = f"http://{DEFAULT_HOST}:{DEFAULT_PORT}/" @@ -151,7 +156,23 @@ def ui(host, port, rag_url): type=int, default=1, ) -def serve(host, port, config_file, workers): +@click.option( + "-e", + "--enable-example", + show_default=True, + help="whether to load example data. Default:False ", + required=False, + type=bool, + default=False, +) +def serve(host, port, config_file, workers, enable_example): app = FastAPI(lifespan=lifespan) configure_app(app, config_file=config_file) + if enable_example: + data_pipeline = __init_data_pipeline(config_file, False) + asyncio.run( + data_pipeline.ingest_from_input_path( + DEFAULT_APPLICATION_EXAMPLE_DATA_FILE, None, False + ) + ) uvicorn.run(app=app, host=host, port=port, loop="asyncio", workers=workers) diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 6d4658a5..91bc3bd1 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -8,6 +8,7 @@ from pai_rag.integrations.readers.pai_excel_reader import PaiPandasExcelReader from llama_index.readers.database import DatabaseReader from llama_index.core import SimpleDirectoryReader +from llama_index.readers.file import FlatReader import logging logger = logging.getLogger(__name__) @@ -36,6 +37,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): ".xls": PaiPandasExcelReader( concat_rows=self.reader_config.get("concat_rows", False), ), + ".md": FlatReader(), } return self From d54ff9ea366d26fca3b46034ce96ed9a8dd9c2b3 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Fri, 5 Jul 2024 16:55:36 +0800 Subject: [PATCH 31/69] Set proper log levels (#98) --- src/pai_rag/core/rag_application.py | 4 ++-- src/pai_rag/core/rag_service.py | 5 +++-- src/pai_rag/modules/chat/llm_chat_engine_factory.py | 2 +- src/pai_rag/modules/index/index_daemon.py | 4 ++-- src/pai_rag/modules/module_registry.py | 8 ++++---- 5 files changed, 12 insertions(+), 11 deletions(-) diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 63f6151d..c5ca2fe2 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -91,7 +91,7 @@ async def aquery(self, query: RagQuery) -> RagResponse: RagResponse """ session_id = query.session_id or uuid_generator() - self.logger.info(f"Get session ID: {session_id}.") + self.logger.debug(f"Get session ID: {session_id}.") if not query.question: return RagResponse( answer="Empty query. Please input your question.", session_id=session_id @@ -138,7 +138,7 @@ async def aquery_llm(self, query: LlmQuery) -> LlmResponse: LlmResponse """ session_id = query.session_id or uuid_generator() - self.logger.info(f"Get session ID: {session_id}.") + self.logger.debug(f"Get session ID: {session_id}.") if not query.question: return LlmResponse( diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 86bc0485..c6e610a5 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -83,13 +83,14 @@ def reload(self, new_config: Any = None): raise UserInputError(f"Update RAG configuration failed: {ex}") def check_updates(self): - logger.info("Checking updates") + # Check config changes for multiple worker mode. + logger.debug("Checking configuration updates") new_modified_time = self.rag_configuration.get_config_mtime() if self.config_modified_time != new_modified_time: self.reload() self.config_modified_time = new_modified_time else: - logger.info("No updates") + logger.debug("No configuration updates") async def add_knowledge_async( self, diff --git a/src/pai_rag/modules/chat/llm_chat_engine_factory.py b/src/pai_rag/modules/chat/llm_chat_engine_factory.py index 0b90cb67..6b0d25e7 100644 --- a/src/pai_rag/modules/chat/llm_chat_engine_factory.py +++ b/src/pai_rag/modules/chat/llm_chat_engine_factory.py @@ -31,7 +31,7 @@ def get_chat_engine(self, session_id, chat_history): memory=chat_memory, verbose=True, ) - logger.info("simple chat_engine instance created") + logger.debug("simple chat_engine instance created") return my_chat_engine else: diff --git a/src/pai_rag/modules/index/index_daemon.py b/src/pai_rag/modules/index/index_daemon.py index 5983145e..ca71d586 100644 --- a/src/pai_rag/modules/index/index_daemon.py +++ b/src/pai_rag/modules/index/index_daemon.py @@ -26,7 +26,7 @@ def register(self, index_path): async def refresh_async(self): while True: - logger.info(f"{datetime.datetime.now()} Start scan.") + logger.debug(f"{datetime.datetime.now()} Start scan.") bm25_indexes = list( module_registry.get_mod_instances("BM25IndexModule").values() ) @@ -57,7 +57,7 @@ async def refresh_async(self): logger.info(f"{datetime.datetime.now()} Reloaded index.") module_registry.destroy_config_cache() - logger.info(f"{datetime.datetime.now()} Index scan complete.") + logger.debug(f"{datetime.datetime.now()} Index scan complete.") await asyncio.sleep(10) diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index a414ae0d..83a0f6b7 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -102,14 +102,14 @@ def init_modules(self, config): raise ValueError( f"Circular dependency detected. Please check module dependency configuration. Module initialized: {mod_cache}. Module ref count: {mod_ref_count}" ) - logger.info(f"RAG modules init successfully. {mod_cache.keys()}") + logger.debug(f"RAG modules init successfully. {mod_cache.keys()}") return def _create_mod_lazily(self, mod_name, config, mod_cache=None): if mod_cache and mod_name in mod_cache: return mod_cache[mod_name] - logger.info(f"Get module {mod_name}.") + logger.debug(f"Get module {mod_name}.") mod_config_key = MODULE_CONFIG_KEY_MAP[mod_name] mod_deps = self._mod_deps_map[mod_name] @@ -121,10 +121,10 @@ def _create_mod_lazily(self, mod_name, config, mod_cache=None): instance_key = self._get_param_hash(params) if mod_name == "IndexModule": - print(instance_key, params) + logger.debug(instance_key, params) if instance_key not in self._mod_instance_map[mod_name]: - logger.info(f"Creating new instance for module {mod_name} {instance_key}.") + logger.debug(f"Creating new instance for module {mod_name} {instance_key}.") self._mod_instance_map[mod_name][instance_key] = mod_cls.get_or_create( params ) From 477fd0333a14dca940b4587fda4a6c79d2cab96e Mon Sep 17 00:00:00 2001 From: aero-xi Date: Tue, 9 Jul 2024 15:14:28 +0800 Subject: [PATCH 32/69] Adjust config instruction and add es instruction (#99) * add es setting * add es setting * add elasticsearch test * add es test * add and modify es_tokenizer test * add and modify es_tokenizer test * modify test_as_tokenizer * add skipif * fix test linter fails * fix lint problem * update test_as_analyzer * add config_guide * add navigation into readme * adjust config guide and add es instruction --- ...Integration of ElasticSearch in pai_rag.md | 138 ++++++++++++++++++ docs/config_guide_cn.md | 39 +++-- docs/config_guide_en.md | 29 +++- 3 files changed, 187 insertions(+), 19 deletions(-) create mode 100644 docs/Integration of ElasticSearch in pai_rag.md diff --git a/docs/Integration of ElasticSearch in pai_rag.md b/docs/Integration of ElasticSearch in pai_rag.md new file mode 100644 index 00000000..874c4852 --- /dev/null +++ b/docs/Integration of ElasticSearch in pai_rag.md @@ -0,0 +1,138 @@ +# 开通ElasticSearch + +阿里云Elasticsearch是基于[开源Elasticsearch](https://www.elastic.co/cn/elasticsearch/features)构建的全托管Elasticsearch云服务，在100%兼容开源功能的同时，支持开箱即用、按需付费。不仅提供云上开箱即用的Elasticsearch、Logstash、Kibana、Beats在内的Elastic Stack生态组件，还与Elastic官方合作提供免费X-Pack（白金版高级特性）商业插件，集成了安全、SQL、机器学习、告警、监控等高级特性，被广泛应用于实时日志分析处理、信息检索、以及数据的多维查询和统计分析等场景。 + +更详细的产品介绍请参考：[https://help.aliyun.com/zh/es/product-overview/what-is-alibaba-cloud-elasticsearch?spm=a2c4g.11186623.0.i3](https://help.aliyun.com/zh/es/product-overview/what-is-alibaba-cloud-elasticsearch?spm=a2c4g.11186623.0.i3) + +如何快速入门，购买阿里云elasticsearch，以及快速访问和配置，请参考：[https://help.aliyun.com/zh/es/user-guide/elasticsearch-1/?spm=a2c4g.11186623.0.0.35fb486ft9sq0P](https://help.aliyun.com/zh/es/user-guide/elasticsearch-1/?spm=a2c4g.11186623.0.0.35fb486ft9sq0P) +![截屏2024-06-14 10.21.13.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718331689925-1ec64e5e-0d91-4390-b2b5-b202c2d248d5.png#clientId=u3ecc3105-3d48-4&from=ui&height=380&id=u81a81e45&originHeight=1202&originWidth=1170&originalType=binary&ratio=2&rotation=0&showTitle=false&size=387669&status=done&style=none&taskId=uf02461d4-9c6b-435b-8144-b496262732a&title=&width=370) +说明：PAI-RAG服务中使用ElasticSearch的前提是开通阿里云ElasticSearch实例 + +# PAI-RAG webui中配置ElasticSearch + +PAI-RAG 拉起服务后，按照如下步骤配置ElasticSearch + +1. **在Please check your Vector Store中选择ElasticSearch** + +![截屏2024-06-14 10.43.31.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718333064456-1739daf7-ca7a-4783-9f9c-411b0eb46548.png#clientId=u3ecc3105-3d48-4&from=ui&id=u57149659&originHeight=1804&originWidth=3034&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1255127&status=done&style=none&taskId=u21454120-6dbe-448e-8e5e-e003956affd&title=) + +2. **如下4个参数需要手动配置** + +![截屏2024-06-14 10.44.50.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718333126572-d6d30157-dbe9-4d2a-ae71-321b9af4edfb.png#clientId=u3ecc3105-3d48-4&from=ui&id=uf112dfdd&originHeight=1808&originWidth=3040&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1254350&status=done&style=none&taskId=ue41d6a30-5b95-495a-812f-92ec4086e3d&title=) +**2.1 ElasticSearch Url** +a) 登录阿里云Elasticsearch控制台，[https://elasticsearch.console.aliyun.com/cn-hangzhou/home](https://elasticsearch.console.aliyun.com/cn-hangzhou/home) +b) 在左侧导航栏，单击**Elasticsearch实例**，右侧页面可以看到已经开通的实例ID，如下图： +![截屏2024-06-14 10.31.07.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718332714043-089d6458-a094-4a60-abfd-447b0de30c65.png#clientId=u3ecc3105-3d48-4&from=ui&id=L16BV&originHeight=804&originWidth=2392&originalType=binary&ratio=2&rotation=0&showTitle=false&size=506148&status=done&style=none&taskId=u3ed30bde-3e1c-4c79-8add-ca1db8aeffc&title=) +c) 点击上图红框中的实例ID，可以看到实例的基本信息，如下图所示： +![截屏2024-06-14 10.39.29.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718332934567-2bac9707-f570-44ec-8a14-25196effdb87.png#clientId=u3ecc3105-3d48-4&from=ui&id=LoiXX&originHeight=1054&originWidth=2426&originalType=binary&ratio=2&rotation=0&showTitle=false&size=528975&status=done&style=none&taskId=ud0d287f6-993f-4a7e-b138-3dd250dfa57&title=) +d) 以公网为例：复制上图红框中的公网地址和公网端口，在ElasticSearch Url中填写：http://<公网地址>:<公网端口> +e) 私网操作步骤类似，需确保es和pai-rag服务位于同一VPC内 +**2.2 Index Name** +首先，进入云端ES实例页面，点击左边栏**配置与管理 **中** ES集群配置**，将下图所示的自动创建索引设置为：允许自动创建索引，然后，可在PAI-RAG 界面Index Name中自定义字符串，如：“es-test” +![截屏2024-06-14 17.11.15.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718356404299-95d0ace7-1589-43e1-91fa-779283c61689.png#clientId=u9631f05e-2c0e-4&from=ui&id=u6b06b0d1&originHeight=574&originWidth=3470&originalType=binary&ratio=2&rotation=0&showTitle=false&size=431473&status=done&style=none&taskId=u5754e238-d82d-4004-90fe-23b5749eab3&title=) +**2.3 ES User** +默认填写elastic +**2.4 ES password** +开通es实例时候设置的登陆密码， +![CA7212F0-3183-4304-BA88-3CF1E98F7412.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718334707000-185d3f93-daec-4003-b274-801450a18ef7.png#clientId=u3ecc3105-3d48-4&from=ui&height=275&id=ufc4de49a&originHeight=670&originWidth=1464&originalType=binary&ratio=2&rotation=0&showTitle=false&size=238543&status=done&style=none&taskId=u9aaca1cd-67c1-472d-847f-4865b1527bf&title=&width=600) +如果忘记密码，可在Elasticsearch实例详情页的安全配置中重置 +![截屏2024-06-14 11.12.20.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718334846530-29b10106-ce19-4d62-8e56-f7704e144b9f.png#clientId=u3ecc3105-3d48-4&from=ui&height=351&id=u87fe649a&originHeight=774&originWidth=1334&originalType=binary&ratio=2&rotation=0&showTitle=false&size=251020&status=done&style=none&taskId=ue3725e0b-23da-4d73-bf07-2c6b7ef0d8b&title=&width=605) + +以上4个参数配置完成后，点击界面右下角的Connet ElasticSearch，看到Connetion Info中如下提示表示ElasticSearch配置成功 +![截屏2024-06-14 11.16.29.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718618291035-f5f4def8-66d2-4a5e-ba7a-5f7fe092dcdc.png#clientId=u34bcaa4d-a122-4&from=ui&height=352&id=ud0ad5c18&originHeight=916&originWidth=1526&originalType=binary&ratio=2&rotation=0&showTitle=false&size=392512&status=done&style=none&taskId=u36c9f1e6-1555-4f8a-8671-4f1a58231cf&title=&width=586) + +# 基础使用 + +PAI-RAG webui中， + +- 首先在setting中完成embedding mode配置、LLM配置，成功连接es store +- 然后在Upload中完成文档上传以及相关chunk配置 +- 即可在Chat中正常使用es全文检索 + +支持三种检索模式，，如下图所示： + +- 向量检索（Embedding Only） +- 关键词检索（Keyword Only） +- 向量和关键词混合检索（Hybrid） + +![截屏2024-06-14 11.20.48.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718335290001-d5dd5ae0-1090-48a2-b800-112bd942a72b.png#clientId=u3ecc3105-3d48-4&from=ui&height=415&id=u35a321db&originHeight=1750&originWidth=2308&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1044900&status=done&style=none&taskId=u80506fdb-cb4f-4075-bd3d-db6c730cb8e&title=&width=547) +PAI-RAG默认使用分词器类型为ik-smart，如何人工添加新词和停用词请查看下一章节 + +# 分词/停用词表个性化配置 + +阿里云ElasticSearch内置的ik中文分词器可以应对大部分常用词，但并未覆盖一些互联网新词以及一些特殊词汇，此时，通过人工维护分词词典和停用词词典，可以获得更好的检索效果。 + +前置步骤： +本地准备好一份分词表和停用词表 + +- 新建“new_word.dic”, 使用文本编辑器打开，并按行添加新词。比如，使用内置分词表，会把“云服务器”分为“云”和“服务器”两个词，按照业务需求希望将其作为一个词，可以将“云服务器”加入新词表中，如下图： + +![截屏2024-06-14 14.39.17.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718347170645-deb16717-2794-4054-babd-3ba0874c8b9a.png#clientId=u7edc5c97-eb02-4&from=ui&height=230&id=u70c898f8&originHeight=454&originWidth=972&originalType=binary&ratio=2&rotation=0&showTitle=false&size=109839&status=done&style=none&taskId=u87bb17ef-3c7d-45b7-b928-775534539c7&title=&width=493) +停用词表的准备同理。 + +准备好自定义的分词表和停用词表后，需要将词表上传到指定位置： + +1. 登录[阿里云Elasticsearch控制台](https://elasticsearch.console.aliyun.com/#/home) +2. 在左侧导航栏，单击**Elasticsearch实例** +3. 进入目标实例 + 1. 在顶部菜单栏处，选择资源组和地域。 + 2. 在**Elasticsearch实例**中单击目标实例ID +4. 在左侧导航栏，选择**配置与管理 > 插件配置**，如下图所示： + +![截屏2024-06-14 11.43.51.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718336782889-3ed1a504-d658-4565-83f0-cf15658c1532.png#clientId=u7edc5c97-eb02-4&from=ui&id=u90b6bf5d&originHeight=578&originWidth=3078&originalType=binary&ratio=2&rotation=0&showTitle=false&size=487164&status=done&style=none&taskId=uccb832f7-c125-4ff7-aae5-4570f7c806a&title=) +说明：Elasticsearch 7.16及以上版本的实例和部分地域的基于云原生管控的实例不支持IK词典冷更新。 +热更新生效方式：第一次上传词典文件时，会对整个集群的词典进行更新，需要重启集群才能生效；二次上传同名文件不会触发集群重启，在运行过程中直接加载词库。 + +5. 在**热更新**页面，单击右下方的**配置**。 +6. 在**IK主分词词库**下方，选择词典的更新方式，并按照以下说明上传词典文件。 + +![image.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718336772676-95154846-1f73-4279-83d4-2c61b6c534c5.png#clientId=u7edc5c97-eb02-4&from=paste&id=uf6df4831&originHeight=351&originWidth=573&originalType=url&ratio=2&rotation=0&showTitle=false&size=12325&status=done&style=none&taskId=u53a1d954-a4c0-4947-bbbd-aa0f911125c&title=) +**说明：**IK热更新不支持修改系统自带的主词典，如果您需要修改系统主词典请使用IK冷更新的方式。 +阿里云Elasticsearch支持**上传DIC文件**和**添加OSS文件**两种词典更新方式： + +- **上传DIC文件**：单击**上传DIC文件**，选择一个本地文件进行上传。 +- **添加OSS文件**：输入Bucket名称和文件名称，单击**添加**。请确保Bucket与当前Elasticsearch实例在同一地域下，且文件为DIC文件（以下步骤以**new_word.dic**文件进行说明）。且源端（OSS）的文件内容发生变化后，需要重新手动配置上传才能生效，不支持自动同步更新。 + +上传成功后，会显示如下：（停用词的上传步骤同上） +![截屏2024-06-14 14.45.18.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718347548381-35e724a1-3feb-4a19-b4dc-e234908a18cf.png#clientId=u7edc5c97-eb02-4&from=ui&height=684&id=uf00ec559&originHeight=1526&originWidth=1212&originalType=binary&ratio=2&rotation=0&showTitle=false&size=393145&status=done&style=none&taskId=u58d50bca-c317-4531-be6e-87f6292c530&title=&width=543) +**警告 **以下操作会重启实例，为保证您的业务不受影响，请确认后在业务低峰期进行操作。 + +7. 滑动到页面底端，勾选**该操作会重启实例，请确认后操作**（第一次上传词典文件，需要重启），单击**保存**。保存后，集群会进行滚动重启，等待滚动重启结束后，词典会自动生效。 + +词典使用一段时间后，如果需要扩充或者减少词典中的内容，请继续执行以下步骤修改上传的**new_word.dic**文件。 + +8. 进入词典热更新页面，先删除之前上传的同名词典文件，重新上传修改过的**new_word.dic**同名词典文件。 + +因为修改的是已存在的同名词典文件的内容，所以本次上传修改过的同名词典文件不需要滚动重启整个集群。 + +9. 单击**保存**。 + +由于阿里云Elasticsearch节点上的插件具有自动加载词典文件的功能，所以每个节点获取词典文件的可能时间不同，请耐心等待词典生效。大概两分钟后再使用更新之后的词典，为了保证准确性，可登录Kibana控制台进行验证，具体可参考：[https://help.aliyun.com/zh/es/user-guide/use-the-analysis-ik-plug-in?spm=a2cba.elasticsearch_plugin.c_plugin.2.4bd6a68cQZ3Jo6](https://help.aliyun.com/zh/es/user-guide/use-the-analysis-ik-plug-in?spm=a2cba.elasticsearch_plugin.c_plugin.2.4bd6a68cQZ3Jo6) + +10. 配置完成后，重新拉起PAI-RAG服务，参考2和3中配置（其中，检索模式选择keyword或hybrid），则可以使用更新词表后的ES全文检索 + +# 索引管理 + +1. 进入目标实例，点击左侧菜单选项中的“可视化控制”，开通Kibana + +![截屏2024-06-25 14.15.32.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296187038-ebb7f3ad-2128-46ce-b8d3-d03f20534a4a.png#clientId=ud5bb8e6c-e200-4&from=ui&id=u2465dd69&originHeight=1044&originWidth=1560&originalType=binary&ratio=2&rotation=0&showTitle=false&size=942500&status=done&style=none&taskId=u290eeb2f-8a53-40e4-b77b-129c30b8f3b&title=) + +2. 以公网访问为例，点击上图的右下角的修改配置，可以看到如下界面，然后点击红框中的修改，添加需要的ip白名单，以逗号分隔 + +![截屏2024-06-25 14.17.02.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296344933-4500d630-99b4-407d-b7b8-8c10cac2f469.png#clientId=ud5bb8e6c-e200-4&from=ui&id=u237a8148&originHeight=534&originWidth=2166&originalType=binary&ratio=2&rotation=0&showTitle=false&size=582171&status=done&style=none&taskId=ub133ee5b-964d-49f7-a6ae-60089a71389&title=) + +3. 添加完成后，回退上层实例界面，点击右下角的公网入口，如下图： + +![截屏2024-06-25 14.20.48.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296464294-c1fb6e3d-ba37-4149-9056-bd1af56f6409.png#clientId=ud5bb8e6c-e200-4&from=ui&height=492&id=ub57f802b&originHeight=984&originWidth=952&originalType=binary&ratio=2&rotation=0&showTitle=false&size=544405&status=done&style=none&taskId=u0ceb5f7a-a179-4f41-8a58-12c13f1ed7f&title=&width=476) + +4. 输入创建es实例的用户名和密码，点击登录，进入界面如下图所示： + +![截屏2024-06-25 14.23.46.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296686010-64a5d4d6-b5b7-4c47-92a6-cb488ce816a5.png#clientId=ud5bb8e6c-e200-4&from=ui&height=351&id=u59ad63e1&originHeight=1286&originWidth=2042&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1608704&status=done&style=none&taskId=ub8af7d0a-6930-431f-b361-6bfd8ba8ba1&title=&width=558) + +5. 点击上图左上角的隐藏菜单，下拉找到Management，可以进行索引管理，如下图所示： + +![截屏2024-06-18 17.19.38.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718702452892-4a802b88-c7b4-48be-aff9-e349b65d4c90.png#clientId=ucd45316e-a74b-4&from=ui&height=335&id=u8bf320a0&originHeight=1382&originWidth=2458&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1916831&status=done&style=none&taskId=uc365f6ce-8786-4fff-a0bb-22217d3e730&title=&width=596) +按照上图红框中操作，在Management中“索引”页面，可以看到2中创建的Index Name (es_test)，点击具体索引名称，则可以对相应的索引进行各种管理操作，如查看设置、清空、关闭等 +![截屏2024-07-09 10.04.14.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1720490735797-cb549235-7dc8-4805-aa10-bb702fbfc569.png#clientId=u980b499d-d8dc-4&from=ui&height=182&id=u530e1a71&originHeight=840&originWidth=2752&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1245323&status=done&style=none&taskId=u62f6eebb-5add-43b1-acbf-17f88837cc2&title=&width=596) +点击上图右半部分索引名称（es_test）旁红框图标，可进入到该索引的详情页面，查看切片信息、各类字段如content、embedding等，如下图所示： +![截屏2024-07-09 10.05.10.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1720490785800-7b20cdf5-5d95-4e28-be4c-8967cd029f30.png#clientId=u980b499d-d8dc-4&from=ui&height=320&id=u891bcee3&originHeight=1108&originWidth=2052&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1550501&status=done&style=none&taskId=ub91d5e87-ecb2-4849-9253-2c268da65ff&title=&width=593) diff --git a/docs/config_guide_cn.md b/docs/config_guide_cn.md index 71f093c3..fca995d9 100644 --- a/docs/config_guide_cn.md +++ b/docs/config_guide_cn.md @@ -87,18 +87,23 @@ source = [PaiEas, OpenAI, DashScope] ## rag.index -vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] +vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus] -目前, pai_rag 多种方式创建和存储索引。 +目前, pai_rag 支持多种方式创建和存储索引。 -如果 vector_store.type = "FAISS", 需要指定一个持久化路径： +如果 vector_store.type = "FAISS", 直接在[rag.index]中指定一个持久化路径： + [rag.index] vector_store.type = "FAISS" persist_path = "localdata/storage" -如果 vector_store.type = "Hologres", 需要补充如下信息： +如果 vector_store.type = "Hologres", 配置如下： - vector_store.type = "Hologres" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "Hologres" host = "your hologres url" port = 80 user = "your user name" @@ -106,9 +111,13 @@ vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] database = "pairag" (just for example) table_name = "pairag" -如果 vector_store.type = "ElasticSearch", 需要准备如下信息： +如果 vector_store.type = "ElasticSearch", 配置如下： - vector_store.type = "ElasticSearch" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "ElasticSearch" es_index = "create your index name" es_url = "es_host:es_port(9200)" es_user = "" @@ -116,7 +125,11 @@ vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] 如果 vector_store.type = "AnalyticDB", 需要补充如下信息： - vector_store.type = "AnalyticDB" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "AnalyticDB" ak = "" sk = "" region_id = "" @@ -128,7 +141,11 @@ vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] 如果 vector_store.type = "Milvus", 需要提供如下信息： - vector_store.type = "Milvus" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "Milvus" host = "" port = "" user = "" @@ -136,9 +153,7 @@ vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] database = "pairag" collection = "pairag_collection" -如果 vector_store.type = "Chroma", 无需提供额外信息。 - -该设置在网页中不可用。 +该设置也可在网页中配置。 ## rag.node_parser diff --git a/docs/config_guide_en.md b/docs/config_guide_en.md index 7aae43b7..8cbb2367 100644 --- a/docs/config_guide_en.md +++ b/docs/config_guide_en.md @@ -88,18 +88,23 @@ This setting is also available in webui. ## rag.index -vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus, Chroma] +vector_store.type = [FAISS, Hologres, ElasticSearch, AnalyticDB, Milvus] Currently, pai_rag provides a variety of approaches for creating & storing indices. If vector_store.type = "FAISS", you can specify a local persist_path as below: + [rag.index] vector_store.type = "FAISS" persist_path = "localdata/storage" If vector_store.type = "Hologres", you need to set up the following information: - vector_store.type = "Hologres" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "Hologres" host = "your hologres url" port = 80 user = "your user name" @@ -109,7 +114,11 @@ If vector_store.type = "Hologres", you need to set up the following information: If vector_store.type = "ElasticSearch", you need to prepare the following information: - vector_store.type = "ElasticSearch" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "ElasticSearch" es_index = "create your index name" es_url = "es_host:es_port(9200)" es_user = "" @@ -117,7 +126,11 @@ If vector_store.type = "ElasticSearch", you need to prepare the following inform If vector_store.type = "AnalyticDB", you need to fill in the following information: - vector_store.type = "AnalyticDB" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "AnalyticDB" ak = "" sk = "" region_id = "" @@ -129,7 +142,11 @@ If vector_store.type = "AnalyticDB", you need to fill in the following informati If vector_store.type = "Milvus", you need to provide the following information: - vector_store.type = "Milvus" + [rag.index] + persist_path = "localdata/storage" + + [rag.index.vector_store] + type = "Milvus" host = "" port = "" user = "" @@ -137,8 +154,6 @@ If vector_store.type = "Milvus", you need to provide the following information: database = "pairag" collection = "pairag_collection" -If vector_store.type = "Chroma", there is no extra setting. - This setting is also available in webui. ## rag.node_parser From 3864e72b14b0c1a7573d041b5e0ffd0707e046a3 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Tue, 9 Jul 2024 16:28:30 +0800 Subject: [PATCH 33/69] Log stacktrace for failed requests (#100) --- src/pai_rag/core/rag_service.py | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index c6e610a5..51011465 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -1,5 +1,6 @@ import asyncio import os +import traceback from asgi_correlation_id import correlation_id from pai_rag.core.models.errors import ServiceError, UserInputError from pai_rag.core.rag_application import RagApplication @@ -59,6 +60,7 @@ def get_config(self): try: self.check_updates() except Exception as ex: + logger.error(traceback.format_exc()) raise ServiceError(f"Get RAG configuration failed: {ex}") return self.config_dict_value @@ -80,6 +82,7 @@ def reload(self, new_config: Any = None): else: logger.debug("Config not changed, not reload") except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Update RAG configuration failed: {ex}") def check_updates(self): @@ -110,7 +113,9 @@ async def add_knowledge_async( with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id}\tcompleted\n") except Exception as ex: - logger.error(f"Upload failed: {ex} {str(ex.__cause__)}") + logger.error( + f"Upload failed: {ex} {str(ex.__cause__)} {traceback.format_exc()}" + ) with open(TASK_STATUS_FILE, "a") as f: detail = f"{ex}: {str(ex.__cause__)}".replace("\t", " ").replace( "\n", " " @@ -141,6 +146,7 @@ async def aquery(self, query: RagQuery) -> RagResponse: self.check_updates() return await self.rag.aquery(query) except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") async def aquery_llm(self, query: LlmQuery) -> LlmResponse: @@ -148,6 +154,7 @@ async def aquery_llm(self, query: LlmQuery) -> LlmResponse: self.check_updates() return await self.rag.aquery_llm(query) except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") async def aquery_retrieval(self, query: RetrievalQuery): @@ -155,6 +162,7 @@ async def aquery_retrieval(self, query: RetrievalQuery): self.check_updates() return await self.rag.aquery_retrieval(query) except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") async def aquery_agent(self, query: LlmQuery) -> LlmResponse: @@ -162,12 +170,14 @@ async def aquery_agent(self, query: LlmQuery) -> LlmResponse: self.check_updates() return await self.rag.aquery_agent(query) except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") async def aload_evaluation_qa_dataset(self, overwrite: bool = False): try: return await self.rag.aload_evaluation_qa_dataset(overwrite) except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") async def aevaluate_retrieval_and_response( @@ -176,6 +186,7 @@ async def aevaluate_retrieval_and_response( try: return await self.rag.aevaluate_retrieval_and_response(type, overwrite) except Exception as ex: + logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") From 20ca2bd6288d77ef81e739f5e7a64bdeafff0bfb Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Tue, 9 Jul 2024 16:28:54 +0800 Subject: [PATCH 34/69] Load milvus collection by default (#101) * Log stacktrace for failed requests * Load milvus collection by default --- src/pai_rag/modules/index/my_milvus_vector_store.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/src/pai_rag/modules/index/my_milvus_vector_store.py b/src/pai_rag/modules/index/my_milvus_vector_store.py index 98da256e..5e1550e5 100644 --- a/src/pai_rag/modules/index/my_milvus_vector_store.py +++ b/src/pai_rag/modules/index/my_milvus_vector_store.py @@ -274,7 +274,6 @@ def __init__( self._collection = Collection(collection_name, using=self._milvusclient._using) self._create_index_if_required() - self.enable_sparse = enable_sparse if self.enable_sparse is True and sparse_embedding_function is None: logger.warning("Sparse embedding function is not provided, using default.") self.sparse_embedding_function = get_default_sparse_embedding_function() @@ -593,7 +592,6 @@ def _create_index_if_required(self, force: bool = False) -> None: self._collection.create_index( self.embedding_field, index_params=index_params ) - self._collection.load() else: if ( self._collection.has_index(index_name=self.embedding_field) @@ -608,7 +606,7 @@ def _create_index_if_required(self, force: bool = False) -> None: ): self._collection.drop_index(index_name=self.sparse_embedding_field) self._create_hybrid_index(self.collection_name) - self._collection.load() + self._collection.load() def _create_hybrid_index(self, collection_name): schema = MilvusClient.create_schema(auto_id=False, enable_dynamic_field=True) From 9d4bf3cff7746d5ce7d8184c08e21f6ee5403753 Mon Sep 17 00:00:00 2001 From: aero-xi Date: Wed, 10 Jul 2024 13:55:10 +0800 Subject: [PATCH 35/69] Rename & Relocate figures in md (#102) * add es setting * add es setting * add elasticsearch test * add es test * add and modify es_tokenizer test * add and modify es_tokenizer test * modify test_as_tokenizer * add skipif * fix test linter fails * fix lint problem * update test_as_analyzer * add config_guide * add navigation into readme * adjust config guide and add es instruction * modify md figures * minor modification * change md path and name --- ...Integration of ElasticSearch in pai_rag.md | 138 -------------- .../elastic/aliyun_es_ik_hot_update.png | Bin 0 -> 393145 bytes docs/figures/elastic/aliyun_es_instance.png | Bin 0 -> 506148 bytes .../elastic/aliyun_es_instance_autoindex.png | Bin 0 -> 431473 bytes .../elastic/aliyun_es_instance_info.png | Bin 0 -> 528975 bytes docs/figures/elastic/aliyun_es_kibana.png | Bin 0 -> 925136 bytes .../elastic/aliyun_es_kibana_entry.png | Bin 0 -> 544405 bytes .../elastic/aliyun_es_kibana_index_detail.png | Bin 0 -> 1550501 bytes 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++++++++++++++++++ 23 files changed, 172 insertions(+), 138 deletions(-) delete mode 100644 docs/Integration of ElasticSearch in pai_rag.md create mode 100644 docs/figures/elastic/aliyun_es_ik_hot_update.png create mode 100644 docs/figures/elastic/aliyun_es_instance.png create mode 100644 docs/figures/elastic/aliyun_es_instance_autoindex.png create mode 100644 docs/figures/elastic/aliyun_es_instance_info.png create mode 100644 docs/figures/elastic/aliyun_es_kibana.png create mode 100644 docs/figures/elastic/aliyun_es_kibana_entry.png create mode 100644 docs/figures/elastic/aliyun_es_kibana_index_detail.png create mode 100644 docs/figures/elastic/aliyun_es_kibana_index_management.png create mode 100644 docs/figures/elastic/aliyun_es_kibana_management.png create mode 100644 docs/figures/elastic/aliyun_es_kibana_menu.png create mode 100644 docs/figures/elastic/aliyun_es_kibana_whitelist.png create mode 100644 docs/figures/elastic/aliyun_es_overview.png create mode 100644 docs/figures/elastic/aliyun_es_password.png create mode 100644 docs/figures/elastic/aliyun_es_password_reset.png create mode 100644 docs/figures/elastic/aliyun_es_plugin.png create mode 100644 docs/figures/elastic/aliyun_es_upload_dic.png create mode 100644 docs/figures/elastic/new_word_dict.png create mode 100644 docs/figures/elastic/pairag_es_connect.png create mode 100644 docs/figures/elastic/pairag_es_param_list.png create mode 100644 docs/figures/elastic/pairag_retrieval_mode.png create mode 100644 docs/figures/elastic/pairag_select_es.png create mode 100644 docs/vectordb/elasticsearch.md diff --git a/docs/Integration of ElasticSearch in pai_rag.md b/docs/Integration of ElasticSearch in pai_rag.md deleted file mode 100644 index 874c4852..00000000 --- a/docs/Integration of ElasticSearch in pai_rag.md +++ /dev/null @@ -1,138 +0,0 @@ -# 开通ElasticSearch - -阿里云Elasticsearch是基于[开源Elasticsearch](https://www.elastic.co/cn/elasticsearch/features)构建的全托管Elasticsearch云服务，在100%兼容开源功能的同时，支持开箱即用、按需付费。不仅提供云上开箱即用的Elasticsearch、Logstash、Kibana、Beats在内的Elastic Stack生态组件，还与Elastic官方合作提供免费X-Pack（白金版高级特性）商业插件，集成了安全、SQL、机器学习、告警、监控等高级特性，被广泛应用于实时日志分析处理、信息检索、以及数据的多维查询和统计分析等场景。 - -更详细的产品介绍请参考：[https://help.aliyun.com/zh/es/product-overview/what-is-alibaba-cloud-elasticsearch?spm=a2c4g.11186623.0.i3](https://help.aliyun.com/zh/es/product-overview/what-is-alibaba-cloud-elasticsearch?spm=a2c4g.11186623.0.i3) - -如何快速入门，购买阿里云elasticsearch，以及快速访问和配置，请参考：[https://help.aliyun.com/zh/es/user-guide/elasticsearch-1/?spm=a2c4g.11186623.0.0.35fb486ft9sq0P](https://help.aliyun.com/zh/es/user-guide/elasticsearch-1/?spm=a2c4g.11186623.0.0.35fb486ft9sq0P) -![截屏2024-06-14 10.21.13.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718331689925-1ec64e5e-0d91-4390-b2b5-b202c2d248d5.png#clientId=u3ecc3105-3d48-4&from=ui&height=380&id=u81a81e45&originHeight=1202&originWidth=1170&originalType=binary&ratio=2&rotation=0&showTitle=false&size=387669&status=done&style=none&taskId=uf02461d4-9c6b-435b-8144-b496262732a&title=&width=370) -说明：PAI-RAG服务中使用ElasticSearch的前提是开通阿里云ElasticSearch实例 - -# PAI-RAG webui中配置ElasticSearch - -PAI-RAG 拉起服务后，按照如下步骤配置ElasticSearch - -1. **在Please check your Vector Store中选择ElasticSearch** - -![截屏2024-06-14 10.43.31.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718333064456-1739daf7-ca7a-4783-9f9c-411b0eb46548.png#clientId=u3ecc3105-3d48-4&from=ui&id=u57149659&originHeight=1804&originWidth=3034&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1255127&status=done&style=none&taskId=u21454120-6dbe-448e-8e5e-e003956affd&title=) - -2. **如下4个参数需要手动配置** - -![截屏2024-06-14 10.44.50.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718333126572-d6d30157-dbe9-4d2a-ae71-321b9af4edfb.png#clientId=u3ecc3105-3d48-4&from=ui&id=uf112dfdd&originHeight=1808&originWidth=3040&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1254350&status=done&style=none&taskId=ue41d6a30-5b95-495a-812f-92ec4086e3d&title=) -**2.1 ElasticSearch Url** -a) 登录阿里云Elasticsearch控制台，[https://elasticsearch.console.aliyun.com/cn-hangzhou/home](https://elasticsearch.console.aliyun.com/cn-hangzhou/home) -b) 在左侧导航栏，单击**Elasticsearch实例**，右侧页面可以看到已经开通的实例ID，如下图： -![截屏2024-06-14 10.31.07.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718332714043-089d6458-a094-4a60-abfd-447b0de30c65.png#clientId=u3ecc3105-3d48-4&from=ui&id=L16BV&originHeight=804&originWidth=2392&originalType=binary&ratio=2&rotation=0&showTitle=false&size=506148&status=done&style=none&taskId=u3ed30bde-3e1c-4c79-8add-ca1db8aeffc&title=) -c) 点击上图红框中的实例ID，可以看到实例的基本信息，如下图所示： -![截屏2024-06-14 10.39.29.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718332934567-2bac9707-f570-44ec-8a14-25196effdb87.png#clientId=u3ecc3105-3d48-4&from=ui&id=LoiXX&originHeight=1054&originWidth=2426&originalType=binary&ratio=2&rotation=0&showTitle=false&size=528975&status=done&style=none&taskId=ud0d287f6-993f-4a7e-b138-3dd250dfa57&title=) -d) 以公网为例：复制上图红框中的公网地址和公网端口，在ElasticSearch Url中填写：http://<公网地址>:<公网端口> -e) 私网操作步骤类似，需确保es和pai-rag服务位于同一VPC内 -**2.2 Index Name** -首先，进入云端ES实例页面，点击左边栏**配置与管理 **中** ES集群配置**，将下图所示的自动创建索引设置为：允许自动创建索引，然后，可在PAI-RAG 界面Index Name中自定义字符串，如：“es-test” -![截屏2024-06-14 17.11.15.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718356404299-95d0ace7-1589-43e1-91fa-779283c61689.png#clientId=u9631f05e-2c0e-4&from=ui&id=u6b06b0d1&originHeight=574&originWidth=3470&originalType=binary&ratio=2&rotation=0&showTitle=false&size=431473&status=done&style=none&taskId=u5754e238-d82d-4004-90fe-23b5749eab3&title=) -**2.3 ES User** -默认填写elastic -**2.4 ES password** -开通es实例时候设置的登陆密码， -![CA7212F0-3183-4304-BA88-3CF1E98F7412.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718334707000-185d3f93-daec-4003-b274-801450a18ef7.png#clientId=u3ecc3105-3d48-4&from=ui&height=275&id=ufc4de49a&originHeight=670&originWidth=1464&originalType=binary&ratio=2&rotation=0&showTitle=false&size=238543&status=done&style=none&taskId=u9aaca1cd-67c1-472d-847f-4865b1527bf&title=&width=600) -如果忘记密码，可在Elasticsearch实例详情页的安全配置中重置 -![截屏2024-06-14 11.12.20.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718334846530-29b10106-ce19-4d62-8e56-f7704e144b9f.png#clientId=u3ecc3105-3d48-4&from=ui&height=351&id=u87fe649a&originHeight=774&originWidth=1334&originalType=binary&ratio=2&rotation=0&showTitle=false&size=251020&status=done&style=none&taskId=ue3725e0b-23da-4d73-bf07-2c6b7ef0d8b&title=&width=605) - -以上4个参数配置完成后，点击界面右下角的Connet ElasticSearch，看到Connetion Info中如下提示表示ElasticSearch配置成功 -![截屏2024-06-14 11.16.29.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718618291035-f5f4def8-66d2-4a5e-ba7a-5f7fe092dcdc.png#clientId=u34bcaa4d-a122-4&from=ui&height=352&id=ud0ad5c18&originHeight=916&originWidth=1526&originalType=binary&ratio=2&rotation=0&showTitle=false&size=392512&status=done&style=none&taskId=u36c9f1e6-1555-4f8a-8671-4f1a58231cf&title=&width=586) - -# 基础使用 - -PAI-RAG webui中， - -- 首先在setting中完成embedding mode配置、LLM配置，成功连接es store -- 然后在Upload中完成文档上传以及相关chunk配置 -- 即可在Chat中正常使用es全文检索 - -支持三种检索模式，，如下图所示： - -- 向量检索（Embedding Only） -- 关键词检索（Keyword Only） -- 向量和关键词混合检索（Hybrid） - -![截屏2024-06-14 11.20.48.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718335290001-d5dd5ae0-1090-48a2-b800-112bd942a72b.png#clientId=u3ecc3105-3d48-4&from=ui&height=415&id=u35a321db&originHeight=1750&originWidth=2308&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1044900&status=done&style=none&taskId=u80506fdb-cb4f-4075-bd3d-db6c730cb8e&title=&width=547) -PAI-RAG默认使用分词器类型为ik-smart，如何人工添加新词和停用词请查看下一章节 - -# 分词/停用词表个性化配置 - -阿里云ElasticSearch内置的ik中文分词器可以应对大部分常用词，但并未覆盖一些互联网新词以及一些特殊词汇，此时，通过人工维护分词词典和停用词词典，可以获得更好的检索效果。 - -前置步骤： -本地准备好一份分词表和停用词表 - -- 新建“new_word.dic”, 使用文本编辑器打开，并按行添加新词。比如，使用内置分词表，会把“云服务器”分为“云”和“服务器”两个词，按照业务需求希望将其作为一个词，可以将“云服务器”加入新词表中，如下图： - -![截屏2024-06-14 14.39.17.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718347170645-deb16717-2794-4054-babd-3ba0874c8b9a.png#clientId=u7edc5c97-eb02-4&from=ui&height=230&id=u70c898f8&originHeight=454&originWidth=972&originalType=binary&ratio=2&rotation=0&showTitle=false&size=109839&status=done&style=none&taskId=u87bb17ef-3c7d-45b7-b928-775534539c7&title=&width=493) -停用词表的准备同理。 - -准备好自定义的分词表和停用词表后，需要将词表上传到指定位置： - -1. 登录[阿里云Elasticsearch控制台](https://elasticsearch.console.aliyun.com/#/home) -2. 在左侧导航栏，单击**Elasticsearch实例** -3. 进入目标实例 - 1. 在顶部菜单栏处，选择资源组和地域。 - 2. 在**Elasticsearch实例**中单击目标实例ID -4. 在左侧导航栏，选择**配置与管理 > 插件配置**，如下图所示： - -![截屏2024-06-14 11.43.51.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718336782889-3ed1a504-d658-4565-83f0-cf15658c1532.png#clientId=u7edc5c97-eb02-4&from=ui&id=u90b6bf5d&originHeight=578&originWidth=3078&originalType=binary&ratio=2&rotation=0&showTitle=false&size=487164&status=done&style=none&taskId=uccb832f7-c125-4ff7-aae5-4570f7c806a&title=) -说明：Elasticsearch 7.16及以上版本的实例和部分地域的基于云原生管控的实例不支持IK词典冷更新。 -热更新生效方式：第一次上传词典文件时，会对整个集群的词典进行更新，需要重启集群才能生效；二次上传同名文件不会触发集群重启，在运行过程中直接加载词库。 - -5. 在**热更新**页面，单击右下方的**配置**。 -6. 在**IK主分词词库**下方，选择词典的更新方式，并按照以下说明上传词典文件。 - -![image.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718336772676-95154846-1f73-4279-83d4-2c61b6c534c5.png#clientId=u7edc5c97-eb02-4&from=paste&id=uf6df4831&originHeight=351&originWidth=573&originalType=url&ratio=2&rotation=0&showTitle=false&size=12325&status=done&style=none&taskId=u53a1d954-a4c0-4947-bbbd-aa0f911125c&title=) -**说明：**IK热更新不支持修改系统自带的主词典，如果您需要修改系统主词典请使用IK冷更新的方式。 -阿里云Elasticsearch支持**上传DIC文件**和**添加OSS文件**两种词典更新方式： - -- **上传DIC文件**：单击**上传DIC文件**，选择一个本地文件进行上传。 -- **添加OSS文件**：输入Bucket名称和文件名称，单击**添加**。请确保Bucket与当前Elasticsearch实例在同一地域下，且文件为DIC文件（以下步骤以**new_word.dic**文件进行说明）。且源端（OSS）的文件内容发生变化后，需要重新手动配置上传才能生效，不支持自动同步更新。 - -上传成功后，会显示如下：（停用词的上传步骤同上） -![截屏2024-06-14 14.45.18.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718347548381-35e724a1-3feb-4a19-b4dc-e234908a18cf.png#clientId=u7edc5c97-eb02-4&from=ui&height=684&id=uf00ec559&originHeight=1526&originWidth=1212&originalType=binary&ratio=2&rotation=0&showTitle=false&size=393145&status=done&style=none&taskId=u58d50bca-c317-4531-be6e-87f6292c530&title=&width=543) -**警告 **以下操作会重启实例，为保证您的业务不受影响，请确认后在业务低峰期进行操作。 - -7. 滑动到页面底端，勾选**该操作会重启实例，请确认后操作**（第一次上传词典文件，需要重启），单击**保存**。保存后，集群会进行滚动重启，等待滚动重启结束后，词典会自动生效。 - -词典使用一段时间后，如果需要扩充或者减少词典中的内容，请继续执行以下步骤修改上传的**new_word.dic**文件。 - -8. 进入词典热更新页面，先删除之前上传的同名词典文件，重新上传修改过的**new_word.dic**同名词典文件。 - -因为修改的是已存在的同名词典文件的内容，所以本次上传修改过的同名词典文件不需要滚动重启整个集群。 - -9. 单击**保存**。 - -由于阿里云Elasticsearch节点上的插件具有自动加载词典文件的功能，所以每个节点获取词典文件的可能时间不同，请耐心等待词典生效。大概两分钟后再使用更新之后的词典，为了保证准确性，可登录Kibana控制台进行验证，具体可参考：[https://help.aliyun.com/zh/es/user-guide/use-the-analysis-ik-plug-in?spm=a2cba.elasticsearch_plugin.c_plugin.2.4bd6a68cQZ3Jo6](https://help.aliyun.com/zh/es/user-guide/use-the-analysis-ik-plug-in?spm=a2cba.elasticsearch_plugin.c_plugin.2.4bd6a68cQZ3Jo6) - -10. 配置完成后，重新拉起PAI-RAG服务，参考2和3中配置（其中，检索模式选择keyword或hybrid），则可以使用更新词表后的ES全文检索 - -# 索引管理 - -1. 进入目标实例，点击左侧菜单选项中的“可视化控制”，开通Kibana - -![截屏2024-06-25 14.15.32.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296187038-ebb7f3ad-2128-46ce-b8d3-d03f20534a4a.png#clientId=ud5bb8e6c-e200-4&from=ui&id=u2465dd69&originHeight=1044&originWidth=1560&originalType=binary&ratio=2&rotation=0&showTitle=false&size=942500&status=done&style=none&taskId=u290eeb2f-8a53-40e4-b77b-129c30b8f3b&title=) - -2. 以公网访问为例，点击上图的右下角的修改配置，可以看到如下界面，然后点击红框中的修改，添加需要的ip白名单，以逗号分隔 - -![截屏2024-06-25 14.17.02.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296344933-4500d630-99b4-407d-b7b8-8c10cac2f469.png#clientId=ud5bb8e6c-e200-4&from=ui&id=u237a8148&originHeight=534&originWidth=2166&originalType=binary&ratio=2&rotation=0&showTitle=false&size=582171&status=done&style=none&taskId=ub133ee5b-964d-49f7-a6ae-60089a71389&title=) - -3. 添加完成后，回退上层实例界面，点击右下角的公网入口，如下图： - -![截屏2024-06-25 14.20.48.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296464294-c1fb6e3d-ba37-4149-9056-bd1af56f6409.png#clientId=ud5bb8e6c-e200-4&from=ui&height=492&id=ub57f802b&originHeight=984&originWidth=952&originalType=binary&ratio=2&rotation=0&showTitle=false&size=544405&status=done&style=none&taskId=u0ceb5f7a-a179-4f41-8a58-12c13f1ed7f&title=&width=476) - -4. 输入创建es实例的用户名和密码，点击登录，进入界面如下图所示： - -![截屏2024-06-25 14.23.46.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1719296686010-64a5d4d6-b5b7-4c47-92a6-cb488ce816a5.png#clientId=ud5bb8e6c-e200-4&from=ui&height=351&id=u59ad63e1&originHeight=1286&originWidth=2042&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1608704&status=done&style=none&taskId=ub8af7d0a-6930-431f-b361-6bfd8ba8ba1&title=&width=558) - -5. 点击上图左上角的隐藏菜单，下拉找到Management，可以进行索引管理，如下图所示： - -![截屏2024-06-18 17.19.38.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1718702452892-4a802b88-c7b4-48be-aff9-e349b65d4c90.png#clientId=ucd45316e-a74b-4&from=ui&height=335&id=u8bf320a0&originHeight=1382&originWidth=2458&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1916831&status=done&style=none&taskId=uc365f6ce-8786-4fff-a0bb-22217d3e730&title=&width=596) -按照上图红框中操作，在Management中“索引”页面，可以看到2中创建的Index Name (es_test)，点击具体索引名称，则可以对相应的索引进行各种管理操作，如查看设置、清空、关闭等 -![截屏2024-07-09 10.04.14.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1720490735797-cb549235-7dc8-4805-aa10-bb702fbfc569.png#clientId=u980b499d-d8dc-4&from=ui&height=182&id=u530e1a71&originHeight=840&originWidth=2752&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1245323&status=done&style=none&taskId=u62f6eebb-5add-43b1-acbf-17f88837cc2&title=&width=596) -点击上图右半部分索引名称（es_test）旁红框图标，可进入到该索引的详情页面，查看切片信息、各类字段如content、embedding等，如下图所示： -![截屏2024-07-09 10.05.10.png](https://intranetproxy.alipay.com/skylark/lark/0/2024/png/311784/1720490785800-7b20cdf5-5d95-4e28-be4c-8967cd029f30.png#clientId=u980b499d-d8dc-4&from=ui&height=320&id=u891bcee3&originHeight=1108&originWidth=2052&originalType=binary&ratio=2&rotation=0&showTitle=false&size=1550501&status=done&style=none&taskId=ub91d5e87-ecb2-4849-9253-2c268da65ff&title=&width=593) diff --git a/docs/figures/elastic/aliyun_es_ik_hot_update.png b/docs/figures/elastic/aliyun_es_ik_hot_update.png new file mode 100644 index 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+更详细的产品介绍请参考：[https://help.aliyun.com/zh/es/product-overview/what-is-alibaba-cloud-elasticsearch?spm=a2c4g.11186623.0.i3](https://help.aliyun.com/zh/es/product-overview/what-is-alibaba-cloud-elasticsearch?spm=a2c4g.11186623.0.i3) + +如何快速入门，购买阿里云elasticsearch，以及快速访问和配置，请参考：[https://help.aliyun.com/zh/es/user-guide/elasticsearch-1/?spm=a2c4g.11186623.0.0.35fb486ft9sq0P](https://help.aliyun.com/zh/es/user-guide/elasticsearch-1/?spm=a2c4g.11186623.0.0.35fb486ft9sq0P) + +![aliyun_es_overview.png](/docs/figures/elastic/aliyun_es_overview.png) + +说明：PAI-RAG服务中使用ElasticSearch的前提是开通阿里云ElasticSearch实例。 + +# PAI-RAG webui中配置ElasticSearch + +PAI-RAG 拉起服务后，按照如下步骤配置ElasticSearch + +1. **在Please check your Vector Store中选择ElasticSearch** + +![pairag_select_es.png](/docs/figures/elastic/pairag_select_es.png) + +2. **如下4个参数需要手动配置** + +![pairag_es_param_list.png](/docs/figures/elastic/pairag_es_param_list.png) + +  2.1. **ElasticSearch Url** + +a) 登录阿里云Elasticsearch控制台，[https://elasticsearch.console.aliyun.com/cn-hangzhou/home](https://elasticsearch.console.aliyun.com/cn-hangzhou/home) + +b) 在左侧导航栏，单击 **Elasticsearch实例**，右侧页面可以看到已经开通的实例ID，如下图： + +![aliyun_es_instance.png](/docs/figures/elastic/aliyun_es_instance.png) + +c) 点击上图红框中的实例ID，可以看到实例的基本信息，如下图所示： + +![aliyun_es_instance_info.png](/docs/figures/elastic/aliyun_es_instance_info.png) + +d) 以公网为例：复制上图红框中的公网地址和公网端口，在ElasticSearch Url中填写：http://<公网地址>:<公网端口> + +e) 私网操作步骤类似，需确保es和pai-rag服务位于同一VPC内 + +  2.2 **Index Name** + +首先，进入云端ES实例页面，点击左边栏 **配置与管理** 中 **ES集群配置**，将下图所示的自动创建索引设置为：允许自动创建索引。然后，可在PAI-RAG 界面Index Name中自定义字符串，如：“es-test”。 + +![aliyun_es_instance_autoindex.png](/docs/figures/elastic/aliyun_es_instance_autoindex.png) + +  2.3 **ES User** + +默认填写 elastic。 + +  2.4 **ES password** + +填写开通es实例时候设置的登陆密码。 + +![aliyun_es_password.png](/docs/figures/elastic/aliyun_es_password.png) + +如果忘记密码，可在Elasticsearch实例详情页的安全配置中重置。 + +![aliyun_es_password_reset.png](/docs/figures/elastic/aliyun_es_password_reset.png) + +以上4个参数配置完成后，点击界面右下角的Connet ElasticSearch，看到Connetion Info中如下提示表示ElasticSearch配置成功。 + +![pairag_es_connect.png](/docs/figures/elastic/pairag_es_connect.png) + +# 基础使用 + +PAI-RAG webui中， + +- 首先在setting中完成embedding mode配置、LLM配置，成功连接es store +- 然后在Upload中完成文档上传以及相关chunk配置 +- 即可在Chat中正常使用es全文检索 + +支持三种检索模式，如下图所示： + +- 向量检索（Embedding Only） +- 关键词检索（Keyword Only） +- 向量和关键词混合检索（Hybrid） + +![pairag_retrieval_mode.png](/docs/figures/elastic/pairag_retrieval_mode.png) + +PAI-RAG默认使用分词器类型为ik-smart，如何人工添加分词和停用词请查看下一章节 + +# 分词/停用词表个性化配置 + +阿里云ElasticSearch内置的ik中文分词器可以应对大部分常用词，但并未覆盖一些互联网新词以及一些特殊词汇，此时，通过人工维护分词词典和停用词词典，可以获得更好的检索效果。 + +**前置步骤** + +本地准备好一份分词表和停用词表 + +- 新建“new_word.dic”, 使用文本编辑器打开，并按行添加新词。比如，使用内置分词表，会把“云服务器”分为“云”和“服务器”两个词，按照业务需求希望将其作为一个词，可以将“云服务器”加入新词表中，如下图： + +![new_word_dict.png](/docs/figures/elastic/new_word_dict.png) + +停用词表的准备同理。 + +准备好自定义的分词表和停用词表后，需要将词表上传到指定位置： + +1. 登录[阿里云Elasticsearch控制台](https://elasticsearch.console.aliyun.com/#/home) +2. 在左侧导航栏，单击 **Elasticsearch实例** +3. 进入目标实例 + 1. 在顶部菜单栏处，选择资源组和地域。 + 2. 在 **Elasticsearch实例** 中单击目标实例ID +4. 在左侧导航栏，选择 **配置与管理 > 插件配置**，如下图所示： + +![aliyun_es_plugin.png](/docs/figures/elastic/aliyun_es_plugin.png) + +说明：Elasticsearch 7.16及以上版本的实例和部分地域的基于云原生管控的实例不支持IK词典冷更新。 + +热更新生效方式：第一次上传词典文件时，会对整个集群的词典进行更新，需要重启集群才能生效；二次上传同名文件不会触发集群重启，在运行过程中直接加载词库。 + +5. 在 **热更新** 页面，单击右下方的 **配置**。 +6. 在 **IK主分词词库** 下方，选择词典的更新方式，并按照以下说明上传词典文件。 + +![aliyun_es_upload_dic.png](/docs/figures/elastic/aliyun_es_upload_dic.png) + +**说明:** IK热更新不支持修改系统自带的主词典，如果您需要修改系统主词典请使用IK冷更新的方式。 + +阿里云Elasticsearch支持 **上传DIC文件** 和 **添加OSS文件** 两种词典更新方式： + +- **上传DIC文件**：单击 **上传DIC文件**，选择一个本地文件进行上传。 +- **添加OSS文件**：输入Bucket名称和文件名称，单击 **添加**。请确保Bucket与当前Elasticsearch实例在同一地域下，且文件为DIC文件（以下步骤以 **new_word.dic** 文件进行说明）。且源端（OSS）的文件内容发生变化后，需要重新手动配置上传才能生效，不支持自动同步更新。 + +上传成功后，会显示如下：（停用词的上传步骤同上） + +![aliyun_es_ik_hot_update.png](/docs/figures/elastic/aliyun_es_ik_hot_update.png) + +**警告:** 以下操作会重启实例，为保证您的业务不受影响，请确认后在业务低峰期进行操作。 + +7. 滑动到页面底端，勾选 **该操作会重启实例，请确认后操作**（第一次上传词典文件，需要重启），单击 **保存** 。保存后，集群会进行滚动重启，等待滚动重启结束后，词典会自动生效。 + +词典使用一段时间后，如果需要扩充或者减少词典中的内容，请继续执行以下步骤修改上传的**new_word.dic** 文件。 + +8. 进入词典热更新页面，先删除之前上传的同名词典文件，重新上传修改过的 **new_word.dic** 同名词典文件。 + +因为修改的是已存在的同名词典文件的内容，所以本次上传修改过的同名词典文件不需要滚动重启整个集群。 + +9. 单击 **保存**。 + +由于阿里云Elasticsearch节点上的插件具有自动加载词典文件的功能，所以每个节点获取词典文件的可能时间不同，请耐心等待词典生效。大概两分钟后再使用更新之后的词典，为了保证准确性，可登录Kibana控制台进行验证，具体可参考：[https://help.aliyun.com/zh/es/user-guide/use-the-analysis-ik-plug-in?spm=a2cba.elasticsearch_plugin.c_plugin.2.4bd6a68cQZ3Jo6](https://help.aliyun.com/zh/es/user-guide/use-the-analysis-ik-plug-in?spm=a2cba.elasticsearch_plugin.c_plugin.2.4bd6a68cQZ3Jo6) + +10. 配置完成后，重新拉起PAI-RAG服务，参考前述webui配置（其中，检索模式选择keyword或hybrid），则可以使用更新词表后的ES全文检索。 + +# 索引管理 + +1. 进入目标实例，点击左侧菜单选项中的“可视化控制”，开通Kibana + +![aliyun_es_kibana.png](/docs/figures/elastic/aliyun_es_kibana.png) + +2. 以公网访问为例，点击上图的右下角的修改配置，可以看到如下界面，然后点击红框中的修改，添加需要的ip白名单，以逗号分隔 + +![aliyun_es_kibana_whitelist.png](/docs/figures/elastic/aliyun_es_kibana_whitelist.png) + +3. 添加完成后，回退上层实例界面，点击右下方的公网入口，如下图： + +![aliyun_es_kibana_entry.png](/docs/figures/elastic/aliyun_es_kibana_entry.png) + +4. 输入创建es实例的用户名和密码，点击登录，进入界面如下图所示： + +![aliyun_es_kibana_menu.png](/docs/figures/elastic/aliyun_es_kibana_menu.png) + +5. 点击上图左上角的隐藏菜单，下拉找到Management，可以进行索引管理，如下图所示： + +![aliyun_es_kibana_management.png](/docs/figures/elastic/aliyun_es_kibana_management.png) + +6. 按照上图红框中操作，在Management中“索引”页面，可以看到章节2中创建的Index Name (es_test)，点击具体索引名称，则可以对相应的索引进行各种管理操作，如查看设置、清空、关闭等。 + +![aliyun_es_kibana_index_management.png](/docs/figures/elastic/aliyun_es_kibana_index_management.png) + +7. 点击上图右侧索引名称（es_test）旁红框图标，可进入到该索引的详情页面，查看切片信息、各类字段如content、embedding等，如下图所示： + +![aliyun_es_kibana_index_detail.png](/docs/figures/elastic/aliyun_es_kibana_index_detail.png) From 6d1456e6d9dd88f82a67c7436fbe705473e4e050 Mon Sep 17 00:00:00 2001 From: CharlieKoo <81978191+CharlieKoo@users.noreply.github.com> Date: Fri, 12 Jul 2024 13:59:51 +0800 Subject: [PATCH 36/69] =?UTF-8?q?=E9=92=88=E5=AF=B9windows=E5=B9=B3?= =?UTF-8?q?=E5=8F=B0=E4=BF=AE=E6=94=B9docker=E5=90=AF=E5=8A=A8=E5=91=BD?= =?UTF-8?q?=E4=BB=A4=20(#104)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * 针对windows平台修改docker启动命令 * 针对windows平台修改docker启动命令 * 针对windows平台修改docker启动命令 * make format * make format, nothing changed --- README.md | 8 +++++++- README_zh.md | 8 +++++++- 2 files changed, 14 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 7db96536..97bfc40d 100644 --- a/README.md +++ b/README.md @@ -169,12 +169,18 @@ To make it easier to use and save time on environment installation, we also prov ``` 2. RAG UI - +Linux: ```bash docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui ``` +Mac/Windows: +```bash +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui + +docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ +``` ### Build your own image based on Dockerfile diff --git a/README_zh.md b/README_zh.md index 24b0a461..25648111 100644 --- a/README_zh.md +++ b/README_zh.md @@ -169,12 +169,18 @@ evaluation [-c src/pai_rag/config/settings.yaml] [-o False] [-t retrieval] ``` 2. 启动RAG WebUI - +Linux: ```bash docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui ``` +Mac/Windows: +```bash +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui + +docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ +``` ### 基于Dockerfile自行构建镜像 From b2b4fa50fa5bb72039947532bf6dbce5f62f6ed6 Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Sat, 13 Jul 2024 10:38:11 +0800 Subject: [PATCH 37/69] download models from oss automatically (#97) * download models from oss automatically * download models from oss automatically * download models from oss automatically * download models from oss automatically * download models from modelscope * download models from modelscope * fix readme --- README.md | 22 ++++-- README_zh.md | 22 ++++-- pyproject.toml | 2 +- pyproject_gpu.toml | 2 +- src/pai_rag/data/rag_dataloader.py | 2 +- .../integrations/readers/pai_pdf_reader.py | 7 +- src/pai_rag/main.py | 20 +++++- src/pai_rag/utils/constants.py | 14 +++- src/pai_rag/utils/download_easyocr_models.py | 36 ---------- src/pai_rag/utils/download_models.py | 71 +++++++++++++++++++ 10 files changed, 142 insertions(+), 56 deletions(-) delete mode 100644 src/pai_rag/utils/download_easyocr_models.py create mode 100644 src/pai_rag/utils/download_models.py diff --git a/README.md b/README.md index 97bfc40d..87375213 100644 --- a/README.md +++ b/README.md @@ -120,11 +120,20 @@ PAI-RAG is an easy-to-use opensource framework for modular RAG (Retrieval-Augmen ``` ```bash - # Support custom host (default 0.0.0.0), port (default 8001), config (default src/pai_rag/config/settings.yaml) - pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] + # Support custom host (default 0.0.0.0), port (default 8001), config (default src/pai_rag/config/settings.yaml), enable-example (default True), skip-download-models (default False) + # Download [text2vec-base-chinese, easyocr] by default, you can skip it by setting skip-download-models=True. + # you can use tool "load_model" to download other models including [text2vec-base-chinese, easyocr, SGPT-125M-weightedmean-nli-bitfit, bge-large-zh-v1.5, bge-m3, bge-reranker-base, bge-reranker-large, bge-small-zh-v1.5, paraphrase-multilingual-MiniLM-L12-v2, qwen_1.8b, text2vec-large-chinese] + pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] [--enable-example False] [--skip-download-models False] ``` -5. Run RAG WebUI +5. Download provided models to local directory + + ```bash + # Support model name (default ""), download all models mentioned before without parameter model_name. + load_model [--model-name MODEL_NAME] + ``` + +6. Run RAG WebUI ```bash # Supports custom host (default 0.0.0.0), port (default 8002), config (default localhost:8001) @@ -133,7 +142,7 @@ PAI-RAG is an easy-to-use opensource framework for modular RAG (Retrieval-Augmen You can also open http://127.0.0.1:8002/ to configure the RAG service and upload local data. -6. Evaluation (Beta Version) +7. Evaluation (Beta Version) You can evaluate the effects of different stages of RAG system, such as retrieval, response and all. @@ -169,13 +178,16 @@ To make it easier to use and save time on environment installation, we also prov ``` 2. RAG UI -Linux: + Linux: + ```bash docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui ``` + Mac/Windows: + ```bash docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui diff --git a/README_zh.md b/README_zh.md index 25648111..9c63350e 100644 --- a/README_zh.md +++ b/README_zh.md @@ -120,11 +120,20 @@ PAI-RAG 是一个易于使用的模块化 RAG（检索增强生成）开源框 ``` ```bash - # 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml) - pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] + # 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml), enable-example(默认True), skip-download-models(默认False) + # 默认启动时下载模型 [text2vec-base-chinese, easyocr] , 可设置 skip-download-models=True 避免启动时下载模型. + # 可使用命令行 "load_model" 下载模型 including [text2vec-base-chinese, easyocr, SGPT-125M-weightedmean-nli-bitfit, bge-large-zh-v1.5, bge-m3, bge-reranker-base, bge-reranker-large, bge-small-zh-v1.5, paraphrase-multilingual-MiniLM-L12-v2, qwen_1.8b, text2vec-large-chinese] + pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] [--enable-example False] [--skip-download-models False] ``` -5. 启动RAG WebUI +5. 下载其他模型到本地 + + ```bash + # 支持 model name (默认 ""), 没有参数时, 默认下载上述所有模型。 + load_model [--model-name MODEL_NAME] + ``` + +6. 启动RAG WebUI ```bash # 启动，支持自定义host(默认0.0.0.0), port(默认8002), config(默认localhost:8001) @@ -133,7 +142,7 @@ PAI-RAG 是一个易于使用的模块化 RAG（检索增强生成）开源框 你也可以打开http://127.0.0.1:8002/ 来配置RAG服务以及上传本地数据。 -6. 评估 (调试) +7. 评估 (调试) 您可以评估RAG系统的不同阶段的效果，如检索、生成或者全链路。 @@ -169,13 +178,16 @@ evaluation [-c src/pai_rag/config/settings.yaml] [-o False] [-t retrieval] ``` 2. 启动RAG WebUI -Linux: + Linux: + ```bash docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui ``` + Mac/Windows: + ```bash docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui diff --git a/pyproject.toml b/pyproject.toml index 013e2f3b..95be8534 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,7 +79,7 @@ protobuf = "3.20.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" load_data = "pai_rag.data.rag_datapipeline:run" -load_easyocr_model = "pai_rag.utils.download_easyocr_models:download_easyocr_models" +load_model = "pai_rag.utils.download_models:load_models" evaluation = "pai_rag.evaluation.eval_pipeline:run" [[tool.poetry.source]] diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index a96f07eb..d0425813 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -71,7 +71,7 @@ protobuf = "3.20.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" load_data = "pai_rag.data.rag_datapipeline:run" -load_easyocr_model = "pai_rag.utils.download_easyocr_models:download_easyocr_models" +load_model = "pai_rag.utils.download_models:load_models" evaluation = "pai_rag.evaluation.eval_pipeline:run" [tool.pytest.ini_options] diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index a4916fea..33fca263 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -18,7 +18,7 @@ logger = logging.getLogger(__name__) -DEFAULT_LOCAL_QA_MODEL_PATH = "/huggingface/transformers/qwen_1.8b" +DEFAULT_LOCAL_QA_MODEL_PATH = "./model_repository/qwen_1.8b" DOC_TYPES_DO_NOT_NEED_CHUNKING = set([".csv", ".xlsx", ".xls", ".htm", ".html"]) diff --git a/src/pai_rag/integrations/readers/pai_pdf_reader.py b/src/pai_rag/integrations/readers/pai_pdf_reader.py index 5d2974ae..5f9eccc9 100644 --- a/src/pai_rag/integrations/readers/pai_pdf_reader.py +++ b/src/pai_rag/integrations/readers/pai_pdf_reader.py @@ -12,11 +12,12 @@ from pdf2image import convert_from_path import easyocr from llama_index.core import Settings -from pai_rag.utils.constants import DEFAULT_EASYOCR_MODEL_DIR +from pai_rag.utils.constants import DEFAULT_MODEL_DIR import json import unicodedata import logging import tempfile +import os logger = logging.getLogger(__name__) @@ -39,11 +40,11 @@ class PaiPDFReader(BaseReader): """ def __init__( - self, enable_image_ocr: bool = False, model_dir: str = DEFAULT_EASYOCR_MODEL_DIR + self, enable_image_ocr: bool = False, model_dir: str = DEFAULT_MODEL_DIR ) -> None: self.enable_image_ocr = enable_image_ocr if self.enable_image_ocr: - self.model_dir = model_dir or DEFAULT_EASYOCR_MODEL_DIR + self.model_dir = model_dir or os.path.join(DEFAULT_MODEL_DIR, "easyocr") logger.info("start loading ocr model") self.image_reader = easyocr.Reader( ["ch_sim", "en"], diff --git a/src/pai_rag/main.py b/src/pai_rag/main.py index 0b3e198e..12814016 100644 --- a/src/pai_rag/main.py +++ b/src/pai_rag/main.py @@ -6,9 +6,15 @@ from pai_rag.app.api.service import configure_app from pai_rag.app.web.webui import configure_webapp from pai_rag.data.rag_datapipeline import __init_data_pipeline +from pai_rag.utils.download_models import ModelScopeDownloader +from pai_rag.utils.constants import DEFAULT_MODEL_DIR, EAS_DEFAULT_MODEL_DIR from logging.config import dictConfig import os from pathlib import Path +import logging + +logger = logging.getLogger(__name__) + _BASE_DIR = Path(__file__).parent _ROOT_BASE_DIR = Path(__file__).parent.parent.parent @@ -165,9 +171,21 @@ def ui(host, port, rag_url): type=bool, default=False, ) -def serve(host, port, config_file, workers, enable_example): +@click.option( + "-s", + "--skip-download-models", + show_default=True, + help="whether to skip download models from modelscope", + required=False, + type=bool, + default=False, +) +def serve(host, port, config_file, workers, enable_example, skip_download_models): app = FastAPI(lifespan=lifespan) configure_app(app, config_file=config_file) + logger.info("start loading models to local directory") + if not skip_download_models and DEFAULT_MODEL_DIR != EAS_DEFAULT_MODEL_DIR: + ModelScopeDownloader().load_basic_models() if enable_example: data_pipeline = __init_data_pipeline(config_file, False) asyncio.run( diff --git a/src/pai_rag/utils/constants.py b/src/pai_rag/utils/constants.py index ea26103b..a6e20dc5 100644 --- a/src/pai_rag/utils/constants.py +++ b/src/pai_rag/utils/constants.py @@ -1,5 +1,7 @@ """Set of constants of modules.""" +import os + # paragraph separator for splitter DEFAULT_PARAGRAPH_SEP = "\n\n\n" SENTENCE_CHUNK_OVERLAP = 200 @@ -7,6 +9,12 @@ DEFAULT_BREAKPOINT = 95 DEFAULT_BUFFER_SIZE = 1 -DEFAULT_MODEL_DIR = "/huggingface/sentence_transformers" -DEFAULT_EASYOCR_MODEL_DIR = "/huggingface/easyocr_models" -DEFAULT_EASYOCR_MODEL_LOCAL_DIR = "./localdata/easyocr_models" +EAS_DEFAULT_MODEL_DIR = "/huggingface/pai_rag_model_repository" +if not os.path.exists(EAS_DEFAULT_MODEL_DIR): + DEFAULT_MODEL_DIR = "./model_repository" +else: + DEFAULT_MODEL_DIR = EAS_DEFAULT_MODEL_DIR + +OSS_URL = ( + "https://pai-rag-bj.oss-cn-beijing.aliyuncs.com/model_repository/model_config.json" +) diff --git a/src/pai_rag/utils/download_easyocr_models.py b/src/pai_rag/utils/download_easyocr_models.py deleted file mode 100644 index 604a88f9..00000000 --- a/src/pai_rag/utils/download_easyocr_models.py +++ /dev/null @@ -1,36 +0,0 @@ -from pai_rag.utils.oss_cache import OssCache -import click -import logging -from pai_rag.utils.constants import DEFAULT_EASYOCR_MODEL_LOCAL_DIR - -logging.getLogger().setLevel(logging.INFO) -DEFAULT_BUCKET = "pai-rag" -DEFAULT_ENDPOINT = "oss-cn-hangzhou.aliyuncs.com" -DEFAULT_EASYOCR_MODEL_PATH = "model/easyocr" - - -@click.command() -@click.option("-id", "--access_key_id", required=True, help="oss access id") -@click.option("-s", "--access_key_secret", required=True, help="oss access secret") -@click.option("-b", "--bucket", help="oss easyocr model bucket", default=DEFAULT_BUCKET) -@click.option("-e", "--endpoint", help="oss endpoint", default=DEFAULT_ENDPOINT) -@click.option( - "-mp", - "--oss_easyocr_models_path", - help="oss easyocr models path", - default=DEFAULT_EASYOCR_MODEL_PATH, -) -def download_easyocr_models( - access_key_id, access_key_secret, bucket, endpoint, oss_easyocr_models_path -): - oss_config = dict() - oss_config["access_key_id"] = access_key_id - oss_config["access_key_secret"] = access_key_secret - oss_config["bucket_name"] = bucket - oss_config["endpoint"] = endpoint - easyocr_model_oss = OssCache(oss_config) - logging.info("oss connected") - easyocr_model_oss.download_files( - oss_easyocr_models_path, DEFAULT_EASYOCR_MODEL_LOCAL_DIR - ) - logging.info("finished downloading easyocr models") diff --git a/src/pai_rag/utils/download_models.py b/src/pai_rag/utils/download_models.py new file mode 100644 index 00000000..c94adcb9 --- /dev/null +++ b/src/pai_rag/utils/download_models.py @@ -0,0 +1,71 @@ +from pai_rag.utils.constants import DEFAULT_MODEL_DIR, OSS_URL +from modelscope.hub.snapshot_download import snapshot_download +from tempfile import TemporaryDirectory +from pathlib import Path +import requests +import shutil +import os +import time +import logging +import click + +logger = logging.getLogger(__name__) + + +class ModelScopeDownloader: + def __init__(self): + self.download_directory_path = Path(DEFAULT_MODEL_DIR) + if not os.path.exists(self.download_directory_path): + os.makedirs(self.download_directory_path) + response = requests.get(OSS_URL) + response.raise_for_status() + self.model_info = response.json() + + def load_model(self, model_name): + model_path = os.path.join(self.download_directory_path, model_name) + with TemporaryDirectory() as temp_dir: + if not os.path.exists(model_path): + logger.info(f"start downloading model {model_name}.") + start_time = time.time() + if model_name in self.model_info["basic_models"]: + model_id = self.model_info["basic_models"][model_name] + elif model_name in self.model_info["extra_models"]: + model_id = self.model_info["extra_models"][model_name] + else: + raise ValueError(f"{model_name} is not a valid model name.") + temp_model_dir = snapshot_download(model_id, cache_dir=temp_dir) + + shutil.move(temp_model_dir, self.download_directory_path) + end_time = time.time() + duration = end_time - start_time + logger.info( + f"Finished downloading model {model_name} to {model_path}, took {duration:.2f} seconds." + ) + + def load_basic_models(self): + for model_name in self.model_info["basic_models"].keys(): + self.load_model(model_name) + + def load_models(self, model_name): + if model_name is None: + model_names = [ + model_name for model_name in self.model_info["basic_models"].keys() + ] + [model_name for model_name in self.model_info["extra_models"].keys()] + for model_name in model_names: + self.load_model(model_name) + else: + self.load_model(model_name) + + +@click.command() +@click.option( + "-m", + "--model-name", + show_default=True, + required=False, + help="model name. Default: download all models provided", + default=None, +) +def load_models(model_name): + download_models = ModelScopeDownloader() + download_models.load_models(model_name) From 9af0f0611ab651b7df229fdf7fbbba0eaf182307 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 15 Jul 2024 14:03:57 +0800 Subject: [PATCH 38/69] Fix bug in downloading models (#106) * Fix bug * Fix log * Fix download --- .gitignore | 1 + README.md | 6 +++--- README_zh.md | 8 +++---- poetry.lock | 32 +++++++++++++++++++++++++++- pyproject.toml | 1 + pyproject_gpu.toml | 1 + src/pai_rag/data/rag_dataloader.py | 1 - src/pai_rag/main.py | 9 +++++--- src/pai_rag/utils/download_models.py | 2 +- 9 files changed, 48 insertions(+), 13 deletions(-) diff --git a/.gitignore b/.gitignore index ea18b748..501098ad 100644 --- a/.gitignore +++ b/.gitignore @@ -222,4 +222,5 @@ output *.local.toml localdata/ +model_repository/ *.tmp diff --git a/README.md b/README.md index 87375213..47c174b7 100644 --- a/README.md +++ b/README.md @@ -121,9 +121,9 @@ PAI-RAG is an easy-to-use opensource framework for modular RAG (Retrieval-Augmen ```bash # Support custom host (default 0.0.0.0), port (default 8001), config (default src/pai_rag/config/settings.yaml), enable-example (default True), skip-download-models (default False) - # Download [text2vec-base-chinese, easyocr] by default, you can skip it by setting skip-download-models=True. - # you can use tool "load_model" to download other models including [text2vec-base-chinese, easyocr, SGPT-125M-weightedmean-nli-bitfit, bge-large-zh-v1.5, bge-m3, bge-reranker-base, bge-reranker-large, bge-small-zh-v1.5, paraphrase-multilingual-MiniLM-L12-v2, qwen_1.8b, text2vec-large-chinese] - pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] [--enable-example False] [--skip-download-models False] + # Download [bge-small-zh-v1.5, easyocr] by default, you can skip it by setting --skip-download-models. + # you can use tool "load_model" to download other models including [bge-small-zh-v1.5, easyocr, SGPT-125M-weightedmean-nli-bitfit, bge-large-zh-v1.5, bge-m3, bge-reranker-base, bge-reranker-large, paraphrase-multilingual-MiniLM-L12-v2, qwen_1.8b, text2vec-large-chinese] + pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] [--enable-example False] [--skip-download-models] ``` 5. Download provided models to local directory diff --git a/README_zh.md b/README_zh.md index 9c63350e..6bbdc5aa 100644 --- a/README_zh.md +++ b/README_zh.md @@ -120,10 +120,10 @@ PAI-RAG 是一个易于使用的模块化 RAG（检索增强生成）开源框 ``` ```bash - # 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml), enable-example(默认True), skip-download-models(默认False) - # 默认启动时下载模型 [text2vec-base-chinese, easyocr] , 可设置 skip-download-models=True 避免启动时下载模型. - # 可使用命令行 "load_model" 下载模型 including [text2vec-base-chinese, easyocr, SGPT-125M-weightedmean-nli-bitfit, bge-large-zh-v1.5, bge-m3, bge-reranker-base, bge-reranker-large, bge-small-zh-v1.5, paraphrase-multilingual-MiniLM-L12-v2, qwen_1.8b, text2vec-large-chinese] - pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] [--enable-example False] [--skip-download-models False] + # 启动，支持自定义host(默认0.0.0.0), port(默认8001), config(默认src/pai_rag/config/settings.yaml), enable-example(默认True), skip-download-models(不加为False) + # 默认启动时下载模型 [bge-small-zh-v1.5, easyocr] , 可设置 skip-download-models 避免启动时下载模型. + # 可使用命令行 "load_model" 下载模型 including [bge-small-zh-v1.5, easyocr, SGPT-125M-weightedmean-nli-bitfit, bge-large-zh-v1.5, bge-m3, bge-reranker-base, bge-reranker-large, paraphrase-multilingual-MiniLM-L12-v2, qwen_1.8b, text2vec-large-chinese] + pai_rag serve [--host HOST] [--port PORT] [--config CONFIG_FILE] [--enable-example False] [--skip-download-models] ``` 5. 下载其他模型到本地 diff --git a/poetry.lock b/poetry.lock index b2e61fed..7af1442c 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3829,6 +3829,36 @@ files = [ [package.extras] test = ["mypy (>=1.0)", "pytest (>=7.0.0)"] +[[package]] +name = "modelscope" +version = "1.16.0" +description = "ModelScope: bring the notion of Model-as-a-Service to life." +optional = false +python-versions = "*" +files = [ + {file = "modelscope-1.16.0-py3-none-any.whl", hash = "sha256:372bdf8001c2ccb91b5cd7b01780ad0212255b671f5e847db8f7ca1f55e1da49"}, + {file = "modelscope-1.16.0.tar.gz", hash = "sha256:70430b4f8cfff7760adc14fad4dd12c34a1a82d7a300e8ab3b70a2c12b9c8f15"}, +] + +[package.dependencies] +requests = ">=2.25" +tqdm = ">=4.64.0" +urllib3 = ">=1.26" + +[package.extras] +all = ["Pillow (>=6.2.0)", "PyMCubes", "accelerate", "addict", "albumentations (>=1.0.3)", "attrs", "av (>=9.2.0)", "biopython", "bmt-clipit (>=1.0)", "boto3", "chumpy", "clip (>=1.0)", "cloudpickle", "control-ldm", "datasets (>=2.16.0,<2.19.0)", "ddpm-guided-diffusion", "decord (>=0.6.0)", "diffusers", "diffusers (>=0.25.0)", "easydict", "easyrobust", "edit-distance", "einops", "embeddings", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fairseq (==0.12.2)", "fastai (>=1.0.51)", "fastapi", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "filelock", "filelock (>=3.3.0)", "ftfy", "ftfy (>=6.0.3)", "fvcore", "huggingface-hub", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "iopath", "ipdb", "jieba (>=0.42.1)", "kornia (>=0.5.0)", "librosa (==0.10.1)", "lmdb", "lpips", "matplotlib", "megatron-util", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (>=1.0.3)", "nerfacc (==0.2.2)", "networkx", "nltk", "numba", "numpy", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "oss2", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "protobuf (>=3.19.0,<3.21.0)", "psutil", "pyarrow (>=6.0.0,!=9.0.0)", "pyclipper", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "pythainlp", "python-dateutil (>=2.1)", "pytorch-lightning", "pytorch-lightning (<=1.7.7)", "pyvi", "pyyaml", "rapidfuzz", "regex", "requests (>=2.25)", "rouge", "rouge-score (<=0.0.4)", "sacrebleu", "sacremoses (>=0.0.41)", "safetensors", "scikit-image", "scikit-learn", "scipy", "sentencepiece", "seqeval", "setuptools", "shapely", "shotdetect-scenedetect-lgss (>=0.0.4)", "simplejson (>=3.3.0)", "smplx", "sortedcontainers (>=1.5.9)", "soundfile", "spacy (>=2.3.5)", "sse-starlette", "stanza", "subword-nmt (>=0.3.8)", "taming-transformers-rom1504", "tensorboardX", "tensorflow-estimator (>=1.15.1)", "termcolor", "tf-slim", "thop", "timm", "timm (>=0.4.9)", "tokenizers", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "tqdm (>=4.64.0)", "transformers (>=4.12.0)", "transformers (>=4.26.0)", "transformers (>=4.27.1)", "trimesh", "ujson", "unicodedata2", "urllib3 (>=1.26)", "utils", "uvicorn", "videofeatures-clipit (>=1.0)", "yacs", "yapf", "zhconv"] +audio = ["MinDAEC", "Pillow (>=6.2.0)", "PyWavelets (>=1.0.0)", "SoundFile (>0.10)", "addict", "attrs", "bitstring", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "funasr (>=1.0.0)", "funcodec (>=0.2.0)", "greenlet (>=1.1.2)", "hdbscan", "huggingface-hub", "hyperpyyaml", "inflect", "jedi (>=0.18.1)", "kaldiio", "kantts", "kwsbp (>=0.0.6)", "librosa (==0.10.1)", "lxml", "matplotlib", "mir-eval (>=0.7)", "msgpack (>=1.0.4)", "numpy", "oss2", "pandas", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "py-sound-connect (>=0.1)", "pyarrow (>=6.0.0,!=9.0.0)", "pygments (>=2.12.0)", "pysptk (>=0.1.15,<0.1.19)", "python-dateutil (>=2.1)", "pytorch-wavelets", "pyyaml", "requests (>=2.25)", "rotary-embedding-torch (>=0.1.5)", "scikit-learn", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "sox", "speechbrain (>=0.5.12)", "tensorboardX", "torchaudio", "tqdm", "tqdm (>=4.64.0)", "traitlets (>=5.3.0)", "ttsfrd (>=0.1.2)", "umap-learn", "unidecode", "urllib3 (>=1.26)", "wcwidth (>=0.2.5)", "yapf"] +audio-asr = ["Pillow (>=6.2.0)", "addict", "attrs", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "funasr (>=1.0.0)", "huggingface-hub", "numpy", "oss2", "pandas", "pyarrow (>=6.0.0,!=9.0.0)", "python-dateutil (>=2.1)", "pyyaml", "requests (>=2.25)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tqdm (>=4.64.0)", "urllib3 (>=1.26)", "yapf"] +audio-kws = ["Pillow (>=6.2.0)", "SoundFile (>0.10)", "addict", "attrs", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "huggingface-hub", "kaldiio", "kwsbp (>=0.0.6)", "matplotlib", "numpy", "oss2", "pandas", "py-sound-connect (>=0.1)", "pyarrow (>=6.0.0,!=9.0.0)", "python-dateutil (>=2.1)", "pyyaml", "requests (>=2.25)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tensorboardX", "tqdm (>=4.64.0)", "urllib3 (>=1.26)", "yapf"] +audio-signal = ["MinDAEC", "Pillow (>=6.2.0)", "SoundFile (>0.10)", "addict", "attrs", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "hdbscan", "huggingface-hub", "hyperpyyaml", "librosa (==0.10.1)", "mir-eval (>=0.7)", "numpy", "oss2", "pandas", "pyarrow (>=6.0.0,!=9.0.0)", "python-dateutil (>=2.1)", "pyyaml", "requests (>=2.25)", "rotary-embedding-torch (>=0.1.5)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "speechbrain (>=0.5.12)", "torchaudio", "tqdm", "tqdm (>=4.64.0)", "umap-learn", "urllib3 (>=1.26)", "yapf"] +audio-tts = ["Pillow (>=6.2.0)", "PyWavelets (>=1.0.0)", "addict", "attrs", "bitstring", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "greenlet (>=1.1.2)", "huggingface-hub", "inflect", "jedi (>=0.18.1)", "kantts", "librosa (==0.10.1)", "lxml", "matplotlib", "msgpack (>=1.0.4)", "numpy", "oss2", "pandas", "parso (>=0.8.3)", "pexpect (>=4.8.0)", "pickleshare (>=0.7.5)", "prompt-toolkit (>=3.0.30)", "protobuf", "ptflops", "ptyprocess (>=0.7.0)", "pyarrow (>=6.0.0,!=9.0.0)", "pygments (>=2.12.0)", "pysptk (>=0.1.15,<0.1.19)", "python-dateutil (>=2.1)", "pytorch-wavelets", "pyyaml", "requests (>=2.25)", "scikit-learn", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "sox", "tensorboardx", "tqdm", "tqdm (>=4.64.0)", "traitlets (>=5.3.0)", "ttsfrd (>=0.1.2)", "unidecode", "urllib3 (>=1.26)", "wcwidth (>=0.2.5)", "yapf"] +cv = ["Pillow (>=6.2.0)", "PyMCubes", "accelerate", "addict", "albumentations (>=1.0.3)", "attrs", "av (>=9.2.0)", "bmt-clipit (>=1.0)", "chumpy", "clip (>=1.0)", "control-ldm", "datasets (>=2.16.0,<2.19.0)", "ddpm-guided-diffusion", "diffusers", "easydict", "easyrobust", "edit-distance", "einops", "face-alignment (>=1.3.5)", "fairscale (>=0.4.1)", "fastai (>=1.0.51)", "ffmpeg (>=1.4)", "ffmpeg-python (>=0.2.0)", "filelock (>=3.3.0)", "ftfy", "fvcore", "huggingface-hub", "imageio (>=2.9.0)", "imageio-ffmpeg (>=0.4.2)", "imgaug (>=0.4.0)", "kornia (>=0.5.0)", "lmdb", "lpips", "ml-collections", "mmcls (>=0.21.0)", "mmdet (>=2.25.0,<=2.28.2)", "mmdet3d (==1.0.0a1)", "mmsegmentation (<=0.30.0)", "moviepy (>=1.0.3)", "nerfacc (==0.2.2)", "networkx", "numba", "numpy", "omegaconf", "onnx", "onnxruntime (>=1.10)", "onnxsim", "open-clip-torch (>=2.7.0)", "opencv-python", "oss2", "paint-ldm", "pandas", "panopticapi", "plyfile (>=0.7.4)", "psutil", "pyarrow (>=6.0.0,!=9.0.0)", "pyclipper", "python-dateutil (>=2.1)", "pytorch-lightning", "pyyaml", "regex", "requests (>=2.25)", "scikit-image", "scikit-learn", "scipy", "setuptools", "shapely", "shotdetect-scenedetect-lgss (>=0.0.4)", "simplejson (>=3.3.0)", "smplx", "sortedcontainers (>=1.5.9)", "tensorflow-estimator (>=1.15.1)", "tf-slim", "thop", "timm (>=0.4.9)", "torch-scatter", "torchmetrics (>=0.6.2)", "torchsummary (>=1.5.1)", "torchvision", "tqdm", "tqdm (>=4.64.0)", "transformers (>=4.26.0)", "trimesh", "ujson", "urllib3 (>=1.26)", "utils", "videofeatures-clipit (>=1.0)", "yacs", "yapf"] +framework = ["Pillow (>=6.2.0)", "addict", "attrs", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "huggingface-hub", "numpy", "oss2", "pandas", "pyarrow (>=6.0.0,!=9.0.0)", "python-dateutil (>=2.1)", "pyyaml", "requests (>=2.25)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tqdm (>=4.64.0)", "urllib3 (>=1.26)", "yapf"] +multi-modal = ["Pillow (>=6.2.0)", "accelerate", "addict", "attrs", "cloudpickle", "datasets (>=2.16.0,<2.19.0)", "decord (>=0.6.0)", "diffusers (>=0.25.0)", "einops", "fairseq (==0.12.2)", "filelock (>=3.3.0)", "ftfy (>=6.0.3)", "huggingface-hub", "librosa (==0.10.1)", "numpy", "opencv-python", "oss2", "pandas", "pyarrow (>=6.0.0,!=9.0.0)", "pycocoevalcap (>=1.2)", "pycocotools (>=2.0.4)", "pydot", "python-dateutil (>=2.1)", "pytorch-lightning (<=1.7.7)", "pyyaml", "rapidfuzz", "requests (>=2.25)", "rouge-score (<=0.0.4)", "sacrebleu", "safetensors", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "soundfile", "taming-transformers-rom1504", "timm", "tokenizers", "torchvision", "tqdm (>=4.64.0)", "transformers (>=4.27.1)", "unicodedata2", "urllib3 (>=1.26)", "yapf", "zhconv"] +nlp = ["Pillow (>=6.2.0)", "addict", "attrs", "boto3", "datasets (>=2.16.0,<2.19.0)", "einops", "embeddings", "filelock", "filelock (>=3.3.0)", "ftfy", "huggingface-hub", "jieba (>=0.42.1)", "matplotlib", "megatron-util", "nltk", "numpy", "oss2", "pandas", "protobuf (>=3.19.0,<3.21.0)", "pyarrow (>=6.0.0,!=9.0.0)", "pythainlp", "python-dateutil (>=2.1)", "pyvi", "pyyaml", "regex", "requests (>=2.25)", "rouge", "sacremoses (>=0.0.41)", "scikit-learn", "scipy", "sentencepiece", "seqeval", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "spacy (>=2.3.5)", "stanza", "subword-nmt (>=0.3.8)", "termcolor", "tokenizers", "tqdm (>=4.64.0)", "transformers (>=4.12.0)", "urllib3 (>=1.26)", "yapf", "zhconv"] +science = ["Pillow (>=6.2.0)", "addict", "attrs", "biopython", "datasets (>=2.16.0,<2.19.0)", "einops", "filelock (>=3.3.0)", "huggingface-hub", "iopath", "ipdb", "lmdb", "ml-collections", "numpy", "oss2", "pandas", "pyarrow (>=6.0.0,!=9.0.0)", "python-dateutil (>=2.1)", "pyyaml", "requests (>=2.25)", "scipy", "setuptools", "simplejson (>=3.3.0)", "sortedcontainers (>=1.5.9)", "tensorboardX", "tokenizers", "tqdm (>=4.64.0)", "urllib3 (>=1.26)", "yapf"] +server = ["fastapi", "sse-starlette", "uvicorn"] + [[package]] name = "monotonic" version = "1.6" @@ -8516,4 +8546,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "0abaad45a8218024dbe142ef06cbeead07b6891992ec5d324e570c556f7326fb" +content-hash = "431dad512e661cd03528e67eeceb3c9ebda67563ac4bbb9b60cf63eac5c9ee2e" diff --git a/pyproject.toml b/pyproject.toml index 95be8534..57a7e815 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -75,6 +75,7 @@ chardet = "^5.2.0" locust = "^2.29.0" gunicorn = "^22.0.0" protobuf = "3.20.0" +modelscope = "^1.16.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index d0425813..73b66a23 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -67,6 +67,7 @@ chardet = "^5.2.0" locust = "^2.29.0" gunicorn = "^22.0.0" protobuf = "3.20.0" +modelscope = "^1.16.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 33fca263..440778bc 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -146,7 +146,6 @@ def load( filter_pattern: str, enable_qa_extraction: bool, ): - print(logger.level) nodes = self._get_nodes(file_path, filter_pattern, enable_qa_extraction) if not nodes: diff --git a/src/pai_rag/main.py b/src/pai_rag/main.py index 12814016..4461b9ab 100644 --- a/src/pai_rag/main.py +++ b/src/pai_rag/main.py @@ -178,14 +178,17 @@ def ui(host, port, rag_url): help="whether to skip download models from modelscope", required=False, type=bool, + is_flag=True, default=False, ) def serve(host, port, config_file, workers, enable_example, skip_download_models): - app = FastAPI(lifespan=lifespan) - configure_app(app, config_file=config_file) - logger.info("start loading models to local directory") if not skip_download_models and DEFAULT_MODEL_DIR != EAS_DEFAULT_MODEL_DIR: + logger.info("Start to download models.") ModelScopeDownloader().load_basic_models() + logger.info("Finished downloading models.") + + app = FastAPI(lifespan=lifespan) + configure_app(app, config_file=config_file) if enable_example: data_pipeline = __init_data_pipeline(config_file, False) asyncio.run( diff --git a/src/pai_rag/utils/download_models.py b/src/pai_rag/utils/download_models.py index c94adcb9..7e7c2d46 100644 --- a/src/pai_rag/utils/download_models.py +++ b/src/pai_rag/utils/download_models.py @@ -35,7 +35,7 @@ def load_model(self, model_name): raise ValueError(f"{model_name} is not a valid model name.") temp_model_dir = snapshot_download(model_id, cache_dir=temp_dir) - shutil.move(temp_model_dir, self.download_directory_path) + shutil.move(temp_model_dir, model_path) end_time = time.time() duration = end_time - start_time logger.info( From 4c3cf7d321e22c140e534f6ae533a2a70c511587 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 15 Jul 2024 14:21:02 +0800 Subject: [PATCH 39/69] Add markdown reader (#105) --- src/pai_rag/data/rag_dataloader.py | 4 +- src/pai_rag/integrations/nodeparsers/base.py | 218 ++++++++++++++++++ .../integrations/readers/markdown_reader.py | 109 +++++++++ .../modules/datareader/datareader_factory.py | 4 +- 4 files changed, 331 insertions(+), 4 deletions(-) create mode 100644 src/pai_rag/integrations/nodeparsers/base.py create mode 100644 src/pai_rag/integrations/readers/markdown_reader.py diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 440778bc..34a561bb 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -6,8 +6,8 @@ from llama_index.core import Settings from llama_index.core.schema import TextNode from llama_index.llms.huggingface import HuggingFaceLLM -from llama_index.core.node_parser import MarkdownNodeParser +from pai_rag.integrations.nodeparsers.base import MarkdownNodeParser from pai_rag.integrations.extractors.html_qa_extractor import HtmlQAExtractor from pai_rag.integrations.extractors.text_qa_extractor import TextQAExtractor from pai_rag.modules.nodeparser.node_parser import node_id_hash @@ -106,7 +106,7 @@ def _get_nodes( TextNode(id_=node_id, text=doc.text, metadata=doc.metadata) ) elif doc_type == ".md": - md_node_parser = MarkdownNodeParser() + md_node_parser = MarkdownNodeParser(id_func=node_id_hash) nodes.extend(md_node_parser.get_nodes_from_documents([doc])) else: nodes.extend(self.node_parser.get_nodes_from_documents([doc])) diff --git a/src/pai_rag/integrations/nodeparsers/base.py b/src/pai_rag/integrations/nodeparsers/base.py new file mode 100644 index 00000000..e3b21238 --- /dev/null +++ b/src/pai_rag/integrations/nodeparsers/base.py @@ -0,0 +1,218 @@ +"""Markdown node parser.""" +from llama_index.core.bridge.pydantic import Field +from typing import Any, Iterator, List, Optional, Sequence + +from llama_index.core.callbacks.base import CallbackManager +from llama_index.core.node_parser.interface import NodeParser +from llama_index.core.node_parser.node_utils import build_nodes_from_splits +from llama_index.core.schema import BaseNode, MetadataMode, TextNode +from llama_index.core.utils import get_tqdm_iterable + + +CHUNK_CHAR_SET = set(".?!。？！\n") + + +class StructuredNodeParser(NodeParser): + """Strcutured node parser. + + Will try to detect document struct according to Title information. + + Splits a document into Nodes using custom splitting logic. + + Args: + max_chunk_size (int): max chunk size + chunk_overlap_size (int): chunk overlap size + include_metadata (bool): whether to include metadata in nodes + include_prev_next_rel (bool): whether to include prev/next relationships + + """ + + max_chunk_size: int = Field(default=500, description="Max chunk size.") + chunk_overlap_size: int = Field(default=10, description="Chunk overlap size.") + + @classmethod + def from_defaults( + cls, + max_chunk_size: int = 500, + chunk_overlap_size: int = 10, + include_metadata: bool = True, + include_prev_next_rel: bool = True, + callback_manager: Optional[CallbackManager] = None, + ) -> "StructuredNodeParser": + callback_manager = callback_manager or CallbackManager([]) + + return cls( + max_chunk_size=max_chunk_size, + chunk_overlap_size=chunk_overlap_size, + include_metadata=include_metadata, + include_prev_next_rel=include_prev_next_rel, + callback_manager=callback_manager, + ) + + @classmethod + def class_name(cls) -> str: + """Get class name.""" + return "StructuredNodeParser" + + def _parse_nodes( + self, + nodes: Sequence[BaseNode], + show_progress: bool = False, + **kwargs: Any, + ) -> List[BaseNode]: + all_nodes: List[BaseNode] = [] + nodes_with_progress = get_tqdm_iterable(nodes, show_progress, "Parsing nodes") + + for node in nodes_with_progress: + nodes = self.get_nodes_from_node(node) + all_nodes.extend(nodes) + + return all_nodes + + def _extract_header_info(self, text): + """Extract section header information from text. + Returns section header text(str), rank(int) and header position (start, end). + For txt text, simple return None, 0, None + For html text like "

          Content

          ", return "Content", 1, (0, 15) + For markdown text like "## Business Justification", return "Business Justification", 2, (0, 20) + """ + return None, 0 + + def _check_plain_text(self, text, plain_text_flag): + """Check whether current text is plain text and we don't extract structure info to these text. + + Applied to code blocks in markdown && comments in html. + """ + return True + + def _wrap_text_line(self, text): + """处理添加到section的文本，添加boundry。 + 主要用于处理markdown断行和html跨标签的文本等等。 + """ + return text + "\n" + + def _format_section_header(self, section_headers): + return " >> ".join([h[0] for h in section_headers]) + + def _push_current_header(self, section_headers, header, rank): + while section_headers: + _, last_rank = section_headers[-1] + if last_rank >= rank: + # 上一个section是同级或者更小的标题 + section_headers.pop() + else: + break + section_headers.append((header, rank)) + + return + + def _cut(self, raw_section: str) -> Iterator[str]: + if len(raw_section) <= self.max_chunk_size: + yield raw_section + else: + start = 0 + while start < len(raw_section): + end = start + self.max_chunk_size + if end >= len(raw_section): + yield raw_section[start:end] + start = end + continue + + pos = end - 1 + + while pos >= start + 200 and raw_section[pos] not in CHUNK_CHAR_SET: + pos -= 1 + + yield raw_section[start : pos + 1] + if raw_section[pos] in CHUNK_CHAR_SET: + start = pos + 1 + else: + start = pos + 1 - self.chunk_overlap_size + + def get_nodes_from_node(self, node: BaseNode) -> List[TextNode]: + """Get nodes from document.""" + text = node.get_content(metadata_mode=MetadataMode.NONE) + lines = text.split("\n") + plain_text_flag = False + section_headers = [] # stack for storing section headers + current_section = "" + + sections = [] + for line in lines: + plain_text_flag = self._check_plain_text(line, plain_text_flag) + if not plain_text_flag: + header, rank, pos = self._extract_header_info(text=line) + # 识别到了header信息 + if header: + header_start, header_end = pos[0], pos[1] + current_section += self._wrap_text_line(line[:header_start]) + if current_section.strip(): + current_header = self._format_section_header(section_headers) + for section_parts in self._cut(current_section): + sections.append(f"{current_header}: {section_parts}") + + self._push_current_header( + section_headers=section_headers, header=header, rank=rank + ) + current_section = self._wrap_text_line(line[header_end:]) + else: + current_section += self._wrap_text_line(line) + else: + current_section += self._wrap_text_line(line) + + if current_section.strip(): + current_header = self._format_section_header(section_headers) + for section_parts in self._cut(current_section): + sections.append(f"{current_header}: {section_parts}") + + split_nodes = build_nodes_from_splits(sections, node, id_func=self.id_func) + return split_nodes + + def _update_metadata( + self, headers_metadata: dict, new_header: str, new_header_level: int + ) -> dict: + """Update the markdown headers for metadata. + + Removes all headers that are equal or less than the level + of the newly found header + """ + updated_headers = {} + + for i in range(1, new_header_level): + key = f"Header_{i}" + if key in headers_metadata: + updated_headers[key] = headers_metadata[key] + + updated_headers[f"Header_{new_header_level}"] = new_header + return updated_headers + + def _build_node_from_split( + self, + text_split: str, + node: BaseNode, + metadata: dict, + ) -> TextNode: + """Build node from single text split.""" + node = build_nodes_from_splits([text_split], node, id_func=self.id_func)[0] + + if self.include_metadata: + node.metadata = {**node.metadata, **metadata} + + return node + + +class MarkdownNodeParser(StructuredNodeParser): + def _check_plain_text(self, text, plain_text_flag): + if text.strip().startswith("```"): + return not plain_text_flag + return plain_text_flag + + def _extract_header_info(self, text): + rank = 0 + while rank < len(text) and text[rank] == "#": + rank += 1 + + if rank == 0: + return None, None, None + else: + return text[rank:].strip(), rank, (0, len(text)) diff --git a/src/pai_rag/integrations/readers/markdown_reader.py b/src/pai_rag/integrations/readers/markdown_reader.py new file mode 100644 index 00000000..e1e879fd --- /dev/null +++ b/src/pai_rag/integrations/readers/markdown_reader.py @@ -0,0 +1,109 @@ +"""Tabular parser-CSV parser. + +Contains parsers for tabular data files. + +""" + +from pathlib import Path +from typing import Any, Dict, List, Optional +import re +from llama_index.core.readers.base import BaseReader +from llama_index.core.schema import Document +import logging + +logger = logging.getLogger(__name__) + +REGEX_H1 = "=+" +REGEX_H2 = "-+" +REGEX_TABLE_FORMAT = "^\|((:|-)+\|)+$" +REGEX_USELESS_PHRASE = "\{#[0-9a-z]+\}" # Only for aliyun docs + + +class MarkdownReader(BaseReader): + """Markdown file reader.""" + + def __init__( + self, + *args: Any, + **kwargs: Any, + ) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + + def load_data( + self, file: Path, extra_info: Optional[Dict] = None + ) -> List[Document]: + """Parse csv file. + + Returns: + Union[str, List[str]]: a string or a List of strings. + + """ + text = "" + pre_line = "" + with open(file) as fp: + line = fp.readline() + is_code = False + while line: + line = re.sub(REGEX_USELESS_PHRASE, "", line) + striped_line = line.strip() + if striped_line.startswith("```"): + is_code = not is_code + + if not striped_line: + text += pre_line + pre_line = "\n" + line = fp.readline() + # process table + elif striped_line.startswith("|") and striped_line.endswith("|"): + if re.match(REGEX_TABLE_FORMAT, striped_line): + header_line = fp.readline() + header_line = re.sub( + REGEX_USELESS_PHRASE, "", header_line + ).strip() + table_headers = [ + h.strip() for h in header_line.split("|")[1:-1] + ] + else: + table_headers = [ + h.strip() for h in striped_line.split("|")[1:-1] + ] + format_line = fp.readline() + if not re.match(REGEX_TABLE_FORMAT, format_line): + logger.warning( + f"Parse markdown table fail: {format_line} is not a table format line." + ) + + table_rows = [] + # read in formatter + line = fp.readline() + while line and line.startswith("|"): + line = re.sub(REGEX_USELESS_PHRASE, "", line).strip() + table_rows.append([h.strip() for h in line.split("|")[1:-1]]) + line = fp.readline() + + for row in table_rows: + for i, col in enumerate(table_headers): + text += f"{col}: {row[i]}\n" + elif re.match(REGEX_H1, striped_line): + text += f"# {pre_line}" + pre_line = "" + line = fp.readline() + elif re.match(REGEX_H2, striped_line): + text += f"## {pre_line}" + pre_line = "" + line = fp.readline() + else: + text += pre_line + pre_line = striped_line + if is_code or line.endswith(" \n"): + pre_line = f"{striped_line}\n" + line = fp.readline() + + text += pre_line + + metadata = {"filename": file.name, "extension": file.suffix} + if extra_info: + metadata = {**metadata, **extra_info} + + return [Document(text=text, metadata=metadata)] diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 91bc3bd1..45d7cc05 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -1,4 +1,5 @@ from typing import Any, Dict, List +from pai_rag.integrations.readers.markdown_reader import MarkdownReader from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.integrations.readers.pai_pdf_reader import PaiPDFReader @@ -8,7 +9,6 @@ from pai_rag.integrations.readers.pai_excel_reader import PaiPandasExcelReader from llama_index.readers.database import DatabaseReader from llama_index.core import SimpleDirectoryReader -from llama_index.readers.file import FlatReader import logging logger = logging.getLogger(__name__) @@ -37,7 +37,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): ".xls": PaiPandasExcelReader( concat_rows=self.reader_config.get("concat_rows", False), ), - ".md": FlatReader(), + ".md": MarkdownReader(), } return self From c401d4df80612736fa808374086d30e1f4335f96 Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Mon, 15 Jul 2024 14:38:40 +0800 Subject: [PATCH 40/69] fix pdf reader (#107) Co-authored-by: Yue Fei --- src/pai_rag/integrations/readers/pai_pdf_reader.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/integrations/readers/pai_pdf_reader.py b/src/pai_rag/integrations/readers/pai_pdf_reader.py index 5f9eccc9..cc073067 100644 --- a/src/pai_rag/integrations/readers/pai_pdf_reader.py +++ b/src/pai_rag/integrations/readers/pai_pdf_reader.py @@ -139,8 +139,10 @@ def merge_page_tables(total_tables: List[PageItem]) -> List[PageItem]: table = total_tables[i] pre_table = total_tables[i - 1] if table["page_number"] == pre_table["page_number"]: + i -= 1 continue if table["page_number"] - pre_table["page_number"] > 1: + i -= 1 continue if ( table["index_id"] <= 1 @@ -196,7 +198,11 @@ def table_to_json(table: List[List]) -> str: for row in range(1, len(table)): single_line_dict = {} for column in range(len(column_name)): - if column_name[column] and len(column_name[column]) > 0: + if ( + column_name[column] + and len(column_name[column]) > 0 + and column < len(table[row]) + ): single_line_dict[column_name[column]] = table[row][column] table_info.append(single_line_dict) From 723b4a3d72814b52710ded87c2ae395a239e6929 Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Mon, 15 Jul 2024 18:11:24 +0800 Subject: [PATCH 41/69] Personal/ranxia/pdf table summary fix (#109) * fix pdf reader * fix pdf reader table summary --------- Co-authored-by: Yue Fei --- src/pai_rag/integrations/readers/pai_pdf_reader.py | 11 +++++++++-- 1 file changed, 9 insertions(+), 2 deletions(-) diff --git a/src/pai_rag/integrations/readers/pai_pdf_reader.py b/src/pai_rag/integrations/readers/pai_pdf_reader.py index cc073067..1b6da047 100644 --- a/src/pai_rag/integrations/readers/pai_pdf_reader.py +++ b/src/pai_rag/integrations/readers/pai_pdf_reader.py @@ -21,6 +21,9 @@ logger = logging.getLogger(__name__) +TABLE_SUMMARY_MAX_TOKEN = 200 +PAGE_TABLE_SUMMARY_MAX_TOKEN = 400 + class PageItem(TypedDict): page_number: int @@ -396,7 +399,9 @@ def load( summarized_table_text = PaiPDFReader.tables_summarize(table["text"]) json_data = PaiPDFReader.table_to_json(table["text"]) page_tables_texts.append(table_string) - page_tables_summaries.append(summarized_table_text.text) + page_tables_summaries.append( + summarized_table_text.text[:TABLE_SUMMARY_MAX_TOKEN] + ) page_tables_json.append(json_data) page_table_text = "".join(page_tables_texts) page_table_summary = "".join(page_tables_summaries) @@ -414,7 +419,9 @@ def load( extra_info = {} extra_info["total_pages"] = len(pdf_read.pages) extra_info["file_path"] = str(file_path) - extra_info["table_summary"] = page_table_summary + extra_info["table_summary"] = page_table_summary[ + :PAGE_TABLE_SUMMARY_MAX_TOKEN + ] extra_info["table_json"] = page_table_json doc = Document( From e14077e7c34183bc987bb69a2c5ad33a5aa3a27c Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Mon, 15 Jul 2024 21:47:16 +0800 Subject: [PATCH 42/69] FiAddage number to file_name (#110) --- src/pai_rag/integrations/readers/pai_pdf_reader.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/integrations/readers/pai_pdf_reader.py b/src/pai_rag/integrations/readers/pai_pdf_reader.py index 1b6da047..b3566608 100644 --- a/src/pai_rag/integrations/readers/pai_pdf_reader.py +++ b/src/pai_rag/integrations/readers/pai_pdf_reader.py @@ -418,7 +418,13 @@ def load( if not extra_info: extra_info = {} extra_info["total_pages"] = len(pdf_read.pages) - extra_info["file_path"] = str(file_path) + extra_info["file_path"] = f"_page_{pagenum + 1}".join( + os.path.splitext(file_path) + ) + file_name = os.path.basename(file_path) + extra_info["file_name"] = f"_page_{pagenum + 1}".join( + os.path.splitext(file_name) + ) extra_info["table_summary"] = page_table_summary[ :PAGE_TABLE_SUMMARY_MAX_TOKEN ] From 06e3af99432637446c6cf52edc7320b7a958f842 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Wed, 17 Jul 2024 21:38:33 +0800 Subject: [PATCH 43/69] Support stream response for LLM (PaiEAS && DashScope) (#112) * Support stream response for LLM (PaiEAS && DashScope) * Add PaiEas LLM old file --- src/pai_rag/app/api/models.py | 2 + src/pai_rag/app/api/query.py | 32 +- src/pai_rag/app/web/rag_client.py | 54 +- src/pai_rag/app/web/tabs/chat_tab.py | 50 +- src/pai_rag/core/rag_application.py | 54 +- src/pai_rag/core/rag_service.py | 5 +- .../llms/dashscope/base.py} | 36 + src/pai_rag/integrations/llms/paieas/base.py | 736 +++++++++++++----- .../integrations/llms/paieas/base_old.py | 249 ++++++ .../synthesizer/my_synthesizer.py | 115 +++ src/pai_rag/modules/llm/llm_module.py | 11 +- .../modules/synthesizer/synthesizer.py | 7 +- 12 files changed, 1098 insertions(+), 253 deletions(-) rename src/pai_rag/{modules/llm/my_dashscope.py => integrations/llms/dashscope/base.py} (90%) create mode 100644 src/pai_rag/integrations/llms/paieas/base_old.py create mode 100644 src/pai_rag/integrations/synthesizer/my_synthesizer.py diff --git a/src/pai_rag/app/api/models.py b/src/pai_rag/app/api/models.py index e000c211..c0a85ee3 100644 --- a/src/pai_rag/app/api/models.py +++ b/src/pai_rag/app/api/models.py @@ -12,6 +12,7 @@ class RagQuery(BaseModel): chat_history: List[Dict[str, str]] | None = None session_id: str | None = None vector_db: VectorDbConfig | None = None + stream: bool | None = False class LlmQuery(BaseModel): @@ -19,6 +20,7 @@ class LlmQuery(BaseModel): temperature: float | None = 0.1 chat_history: List[Dict[str, str]] | None = None session_id: str | None = None + stream: bool | None = False class RetrievalQuery(BaseModel): diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 1f2a3139..c6222081 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -9,21 +9,43 @@ RagQuery, LlmQuery, RetrievalQuery, - RagResponse, LlmResponse, ) +from fastapi.responses import StreamingResponse router = APIRouter() +async def event_generator_async(response): + delimiter = "\0" + async for token in response.async_response_gen(): + yield token + delimiter + + @router.post("/query") -async def aquery(query: RagQuery) -> RagResponse: - return await rag_service.aquery(query) +async def aquery(query: RagQuery): + response = await rag_service.aquery(query) + if not query.stream: + return response + else: + return StreamingResponse( + event_generator_async(response[0]), + headers={"x-session-id": response[1], "reference_docs": response[2]}, + media_type="text/plain", + ) @router.post("/query/llm") -async def aquery_llm(query: LlmQuery) -> LlmResponse: - return await rag_service.aquery_llm(query) +async def aquery_llm(query: LlmQuery): + response = await rag_service.aquery_llm(query) + if not query.stream: + return response + else: + return StreamingResponse( + event_generator_async(response[0]), + headers={"x-session-id": response[1]}, + media_type="text/plain", + ) @router.post("/query/retrieval") diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index e8ef8b1c..461edd49 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -70,45 +70,55 @@ def get_evaluate_retrieval_url(self): def get_evaluate_response_url(self): return f"{self.endpoint}service/evaluate/response" - def query(self, text: str, session_id: str = None): - q = dict(question=text, session_id=session_id) - r = requests.post(self.query_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) - response = dotdict(json.loads(r.text)) + def query(self, text: str, session_id: str = None, stream: bool = False): + q = dict(question=text, session_id=session_id, stream=stream) + r = requests.post(self.query_url, json=q, stream=True) if r.status_code != HTTPStatus.OK: - raise RagApiError(code=r.status_code, msg=response.message) - - if len(response["docs"]) == 0: - response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE - else: - referenced_docs = "" - for i, doc in enumerate(response["docs"]): - referenced_docs += f'[{i+1}]: {doc["metadata"]["file_name"][33:]} Score:{doc["score"]} \n' + raise RagApiError(code=r.status_code, msg=r.text) + if not stream: + response = dotdict(json.loads(r.text)) + if r.status_code != HTTPStatus.OK: + raise RagApiError(code=r.status_code, msg=response.message) - if session_id: - formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + if len(response["docs"]) == 0: + response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE else: - formatted_text = f'**Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' - response["answer"] = formatted_text - return response + referenced_docs = "" + for i, doc in enumerate(response["docs"]): + referenced_docs += f'[{i+1}]: {doc["metadata"]["file_name"][33:]} Score:{doc["score"]} \n' + + if session_id: + formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + else: + formatted_text = f'**Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + response["answer"] = formatted_text + return response + return r def query_llm( self, text: str, session_id: str = None, temperature: float = 0.1, + stream: bool = False, ): q = dict( question=text, temperature=temperature, session_id=session_id, + stream=stream, ) - r = requests.post(self.llm_url, json=q, timeout=DEFAULT_CLIENT_TIME_OUT) - response = dotdict(json.loads(r.text)) + r = requests.post( + self.llm_url, json=q, stream=True, timeout=DEFAULT_CLIENT_TIME_OUT + ) if r.status_code != HTTPStatus.OK: - raise RagApiError(code=r.status_code, msg=response.message) - - return response + raise RagApiError(code=r.status_code, msg=r.text) + if not stream: + response = dotdict(json.loads(r.text)) + return response + else: + return r def query_vector(self, text: str): q = dict(question=text) diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index 213e6290..04118e64 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -7,7 +7,7 @@ EXTRACT_URL_PROMPTS, ACCURATE_CONTENT_PROMPTS, ) - +import time current_session_id = None @@ -28,7 +28,7 @@ def respond(input_elements: List[Any]): # empty input. if not update_dict["question"]: - return "", update_dict["chatbot"], 0 + yield "", update_dict["chatbot"], 0 try: rag_client.patch_config(update_dict) @@ -38,6 +38,7 @@ def respond(input_elements: List[Any]): query_type = update_dict["query_type"] msg = update_dict["question"] chatbot = update_dict["chatbot"] + is_streaming = update_dict["is_streaming"] if not update_dict["include_history"]: current_session_id = None @@ -45,20 +46,42 @@ def respond(input_elements: List[Any]): try: if query_type == "LLM": response = rag_client.query_llm( - msg, - session_id=current_session_id, + msg, session_id=current_session_id, stream=is_streaming ) - current_session_id = response.session_id elif query_type == "Retrieval": response = rag_client.query_vector(msg) else: - response = rag_client.query(msg, session_id=current_session_id) - current_session_id = response.session_id + response = rag_client.query( + msg, session_id=current_session_id, stream=is_streaming + ) + except RagApiError as api_error: raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") - chatbot.append((msg, response.answer)) - return "", chatbot, 0 + if query_type == "Retrieval": + chatbot.append((msg, response.answer)) + yield "", chatbot, 0 + elif is_streaming: + current_session_id = response.headers["x-session-id"] + chatbot.append([msg, None]) + chatbot[-1][1] = "Answer:" + for chunk in response.iter_lines( + chunk_size=8192, decode_unicode=False, delimiter=b"\0" + ): + if chunk: + chatbot[-1][1] += chunk.decode("utf-8") + yield "", chatbot, 0 + time.sleep(0.1) + if query_type != "LLM": + refernce_docs = response.headers["reference_docs"] + chatbot[-1][1] += "\n\n **Reference:** \n" + refernce_docs.replace( + "+++", "\n" + ) + yield "", chatbot, 0 + else: + current_session_id = response["session_id"] + chatbot.append((msg, response["answer"])) + yield "", chatbot, 0 def create_chat_tab() -> Dict[str, Any]: @@ -70,7 +93,12 @@ def create_chat_tab() -> Dict[str, Any]: elem_id="query_type", value="RAG (Retrieval + LLM)", ) - + is_streaming = gr.Checkbox( + label="Streaming Output", + info="Streaming Output", + elem_id="is_streaming", + value=True, + ) with gr.Column(visible=True) as vs_col: vec_model_argument = gr.Accordion( "Parameters of Vector Retrieval", open=False @@ -224,7 +252,7 @@ def change_query_radio(query_type): clearBtn = gr.Button("Clear History", variant="secondary") chat_args = ( - {text_qa_template, question, query_type, chatbot} + {text_qa_template, question, query_type, chatbot, is_streaming} .union(vec_args) .union(llm_args) ) diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index c5ca2fe2..5088405f 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -9,7 +9,6 @@ RetrievalResponse, ) from llama_index.core.schema import QueryBundle - import logging from uuid import uuid4 @@ -79,7 +78,7 @@ async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: return RetrievalResponse(docs=docs) - async def aquery(self, query: RagQuery) -> RagResponse: + async def aquery(self, query: RagQuery): """Query answer from RAG App asynchronously. Generate answer from Query Engine's or Chat Engine's achat interface. @@ -108,25 +107,35 @@ async def aquery(self, query: RagQuery) -> RagResponse: query_chat_engine = chat_engine_factory.get_chat_engine( session_id, query.chat_history ) - response = await query_chat_engine.achat(query.question) + if not query.stream: + response = await query_chat_engine.achat(query.question) + else: + response = await query_chat_engine.astream_chat(query.question) + node_results = response.sources[0].raw_output.source_nodes - reference_docs = [ - ContextDoc( - text=score_node.node.get_content(), - metadata=score_node.node.metadata, - score=score_node.score, + if not query.stream: + reference_docs = [ + ContextDoc( + text=score_node.node.get_content(), + metadata=score_node.node.metadata, + score=score_node.score, + ) + for score_node in node_results + ] + new_query = response.sources[0].raw_input["query"] + return RagResponse( + answer=response.response, + session_id=session_id, + docs=reference_docs, + new_query=new_query, ) - for score_node in node_results - ] - new_query = response.sources[0].raw_input["query"] - return RagResponse( - answer=response.response, - session_id=session_id, - docs=reference_docs, - new_query=new_query, - ) + else: + referenced_docs_text = "" + for i, node in enumerate(node_results): + referenced_docs_text += f"[{i+1}]: {node.node.metadata.get('file_name')[33:]} Score:{node.score} +++" + return [response, session_id, referenced_docs_text] - async def aquery_llm(self, query: LlmQuery) -> LlmResponse: + async def aquery_llm(self, query: LlmQuery): """Query answer from LLM response asynchronously. Generate answer from LLM's or LLM Chat Engine's achat interface. @@ -151,9 +160,12 @@ async def aquery_llm(self, query: LlmQuery) -> LlmResponse: llm_chat_engine = llm_chat_engine_factory.get_chat_engine( session_id, query.chat_history ) - response = await llm_chat_engine.achat(query.question) - - return LlmResponse(answer=response.response, session_id=session_id) + if not query.stream: + response = await llm_chat_engine.achat(query.question) + return LlmResponse(answer=response.response, session_id=session_id) + else: + response = await llm_chat_engine.astream_chat(query.question) + return [response, session_id] async def aquery_agent(self, query: LlmQuery) -> LlmResponse: """Query answer from RAG App via web search asynchronously. diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 51011465..70890da6 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -9,7 +9,6 @@ RagQuery, LlmQuery, RetrievalQuery, - RagResponse, LlmResponse, ) from openinference.instrumentation import using_attributes @@ -141,7 +140,7 @@ def get_task_status(self, task_id: str) -> str: return status, detail - async def aquery(self, query: RagQuery) -> RagResponse: + async def aquery(self, query: RagQuery): try: self.check_updates() return await self.rag.aquery(query) @@ -149,7 +148,7 @@ async def aquery(self, query: RagQuery) -> RagResponse: logger.error(traceback.format_exc()) raise UserInputError(f"Query RAG failed: {ex}") - async def aquery_llm(self, query: LlmQuery) -> LlmResponse: + async def aquery_llm(self, query: LlmQuery): try: self.check_updates() return await self.rag.aquery_llm(query) diff --git a/src/pai_rag/modules/llm/my_dashscope.py b/src/pai_rag/integrations/llms/dashscope/base.py similarity index 90% rename from src/pai_rag/modules/llm/my_dashscope.py rename to src/pai_rag/integrations/llms/dashscope/base.py index 84a3bacf..5a4635b9 100644 --- a/src/pai_rag/modules/llm/my_dashscope.py +++ b/src/pai_rag/integrations/llms/dashscope/base.py @@ -8,6 +8,7 @@ ChatResponse, ChatResponseGen, CompletionResponse, + ChatResponseAsyncGen, CompletionResponseGen, LLMMetadata, MessageRole, @@ -372,3 +373,38 @@ async def acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponse: f"Call DashScope API failed, {response['code']}: {response['message']}" ) return dashscope_response_to_completion_response(response) + + @llm_chat_callback() + async def astream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseAsyncGen: + parameters = self._get_default_parameters() + parameters.update({**kwargs}) + parameters["stream"] = True + parameters["incremental_output"] = True + parameters["result_format"] = "message" # only use message format. + response = await call_with_messages_async( + model=self.model_name, + messages=chat_message_to_dashscope_messages(messages), + api_key=self.api_key, + parameters=parameters, + ) + + async def gen() -> ChatResponseAsyncGen: + content = "" + async for r in response: + if r.status_code == HTTPStatus.OK: + top_choice = r.output.choices[0] + incremental_output = top_choice["message"]["content"] + role = top_choice["message"]["role"] + content += incremental_output + yield ChatResponse( + message=ChatMessage(role=role, content=content), + delta=incremental_output, + raw=r, + ) + else: + yield ChatResponse(message=ChatMessage(), raw=response) + return + + return gen() diff --git a/src/pai_rag/integrations/llms/paieas/base.py b/src/pai_rag/integrations/llms/paieas/base.py index b667cc8a..3f2efc5c 100644 --- a/src/pai_rag/integrations/llms/paieas/base.py +++ b/src/pai_rag/integrations/llms/paieas/base.py @@ -1,249 +1,623 @@ +import functools +from typing import ( + Any, + Awaitable, + Callable, + Dict, + Optional, + Sequence, + cast, +) + +import httpx +from llama_index.core.base.llms.generic_utils import ( + achat_to_completion_decorator, + acompletion_to_chat_decorator, + astream_chat_to_completion_decorator, + astream_completion_to_chat_decorator, + chat_to_completion_decorator, + completion_to_chat_decorator, + stream_chat_to_completion_decorator, + stream_completion_to_chat_decorator, +) from llama_index.core.base.llms.types import ( ChatMessage, ChatResponse, + ChatResponseAsyncGen, ChatResponseGen, CompletionResponse, + CompletionResponseAsyncGen, CompletionResponseGen, LLMMetadata, + MessageRole, +) +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.callbacks import CallbackManager +from llama_index.core.constants import ( + DEFAULT_TEMPERATURE, ) from llama_index.core.llms.callbacks import ( llm_chat_callback, llm_completion_callback, ) -from llama_index.core.llms.custom import CustomLLM -from llama_index.core.base.llms.generic_utils import ( - completion_to_chat_decorator, - stream_completion_to_chat_decorator, - acompletion_to_chat_decorator, +from llama_index.core.llms.function_calling import FunctionCallingLLM +from llama_index.core.types import BaseOutputParser, PydanticProgramMode +from llama_index.llms.openai.utils import ( + create_retry_decorator, + from_openai_completion_logprobs, + from_openai_message, + from_openai_token_logprobs, + resolve_openai_credentials, + to_openai_message_dicts, ) -from typing import Any, Dict, Optional, Sequence -from llama_index.core.bridge.pydantic import Field -import json -import requests -import httpx -DEFAULT_EAS_MODEL_NAME = "pai-eas-custom-llm" -DEFAULT_EAS_MAX_NEW_TOKENS = 512 +from openai import AsyncOpenAI, AzureOpenAI +from openai import OpenAI as SyncOpenAI +from openai.types.chat.chat_completion_chunk import ( + ChatCompletionChunk, + ChoiceDelta, +) -class PaiEAS(CustomLLM): - """PaiEas LLM.""" +def llm_retry_decorator(f: Callable[[Any], Any]) -> Callable[[Any], Any]: + @functools.wraps(f) + def wrapper(self, *args: Any, **kwargs: Any) -> Any: + max_retries = getattr(self, "max_retries", 0) + if max_retries <= 0: + return f(self, *args, **kwargs) - model_name: str = Field( - default=DEFAULT_EAS_MODEL_NAME, - description="The DashScope model to use.", - ) - endpoint: str = Field(default=None, description="The PAI EAS endpoint.") - token: str = Field(default=None, description="The PAI EAS token.") - max_new_tokens: int = Field( - default=DEFAULT_EAS_MAX_NEW_TOKENS, description="Max new tokens." - ) - temperature: Optional[float] = Field( + retry = create_retry_decorator( + max_retries=max_retries, + random_exponential=True, + stop_after_delay_seconds=60, + min_seconds=1, + max_seconds=20, + ) + return retry(f)(self, *args, **kwargs) + + return wrapper + + +class PaiEAS(FunctionCallingLLM): + """ + OpenAI LLM. + + Args: + temperature: a float from 0 to 1 controlling randomness in generation; higher will lead to more creative, less deterministic responses. + max_tokens: the maximum number of tokens to generate. + additional_kwargs: Optional[Dict[str, Any]] = None, + max_retries: How many times to retry the API call if it fails. + timeout: How long to wait, in seconds, for an API call before failing. + reuse_client: Reuse the OpenAI client between requests. When doing anything with large volumes of async API calls, setting this to false can improve stability. + api_key: Your OpenAI api key + api_base: The base URL of the API to call + api_version: the version of the API to call + callback_manager: the callback manager is used for observability. + default_headers: override the default headers for API requests. + http_client: pass in your own httpx.Client instance. + async_http_client: pass in your own httpx.AsyncClient instance. + + Examples: + `pip install llama-index-llms-openai` + + ```python + import os + import openai + + os.environ["OPENAI_API_KEY"] = "sk-..." + openai.api_key = os.environ["OPENAI_API_KEY"] + + from llama_index.llms.openai import OpenAI + + llm = OpenAI(model="gpt-3.5-turbo") + + stream = llm.stream("Hi, write a short story") + + for r in stream: + print(r.delta, end="") + ``` + """ + + temperature: float = Field( + default=DEFAULT_TEMPERATURE, description="The temperature to use during generation.", - default=0.1, gte=0.0, - lte=2.0, + lte=1.0, + ) + max_tokens: Optional[int] = Field( + description="The maximum number of tokens to generate.", + gt=0, ) - top_p: float = Field( - default=0.8, description="Sample probability threshold when generate." + logprobs: Optional[bool] = Field( + description="Whether to return logprobs per token." + ) + top_logprobs: int = Field( + description="The number of top token log probs to return.", + default=0, + gte=0, + lte=20, + ) + additional_kwargs: Dict[str, Any] = Field( + default_factory=dict, description="Additional kwargs for the OpenAI API." + ) + max_retries: int = Field( + default=3, + description="The maximum number of API retries.", + gte=0, + ) + timeout: float = Field( + default=60.0, + description="The timeout, in seconds, for API requests.", + gte=0, + ) + default_headers: Dict[str, str] = Field( + default=None, description="The default headers for API requests." + ) + reuse_client: bool = Field( + default=True, + description=( + "Reuse the OpenAI client between requests. When doing anything with large " + "volumes of async API calls, setting this to false can improve stability." + ), ) - top_k: int = Field(default=30, description="Sample counter when generate.") - top_k: int = Field(default=30, description="Sample counter when generate.") - version: str = Field(default="2.0", description="PAI EAS endpoint version.") - """ - Llm model deployed in Aliyun PAI EAS. - """ + api_key: str = Field(default=None, description="The OpenAI API key.") + api_base: str = Field(description="The base URL for OpenAI API.") + api_version: str = Field(description="The API version for OpenAI API.") + + _client: Optional[SyncOpenAI] = PrivateAttr() + _aclient: Optional[AsyncOpenAI] = PrivateAttr() + _http_client: Optional[httpx.Client] = PrivateAttr() + _async_http_client: Optional[httpx.AsyncClient] = PrivateAttr() def __init__( self, - endpoint: str = "", - token: str = "", - model_name: str = "", - max_new_tokens: int = DEFAULT_EAS_MAX_NEW_TOKENS, - temperature: float = 0.1, - top_p: float = 0.8, - top_k: int = 30, - version: str = "2.0", + temperature: float = DEFAULT_TEMPERATURE, + max_tokens: Optional[int] = None, + additional_kwargs: Optional[Dict[str, Any]] = None, + max_retries: int = 3, + timeout: float = 60.0, + reuse_client: bool = True, + api_key: Optional[str] = None, + api_base: Optional[str] = None, + api_version: Optional[str] = None, + callback_manager: Optional[CallbackManager] = None, + default_headers: Optional[Dict[str, str]] = None, + http_client: Optional[httpx.Client] = None, + async_http_client: Optional[httpx.AsyncClient] = None, + # base class + system_prompt: Optional[str] = None, + messages_to_prompt: Optional[Callable[[Sequence[ChatMessage]], str]] = None, + completion_to_prompt: Optional[Callable[[str], str]] = None, + pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT, + output_parser: Optional[BaseOutputParser] = None, **kwargs: Any, - ): + ) -> None: + additional_kwargs = additional_kwargs or {} + + api_key, api_base, api_version = resolve_openai_credentials( + api_key=api_key, + api_base=api_base, + api_version=api_version, + ) + super().__init__( - endpoint=endpoint, - token=token, - model_name=model_name, - max_new_tokens=max_new_tokens, temperature=temperature, - top_p=top_p, - top_k=top_k, - version=version, - kwargs=kwargs, + max_tokens=max_tokens, + additional_kwargs=additional_kwargs, + max_retries=max_retries, + callback_manager=callback_manager, + api_key=api_key, + api_version=api_version, + api_base=api_base, + timeout=timeout, + reuse_client=reuse_client, + default_headers=default_headers, + system_prompt=system_prompt, + messages_to_prompt=messages_to_prompt, + completion_to_prompt=completion_to_prompt, + pydantic_program_mode=pydantic_program_mode, + output_parser=output_parser, + **kwargs, ) + self._client = None + self._aclient = None + self._http_client = http_client + self._async_http_client = async_http_client + + def _get_client(self) -> SyncOpenAI: + if not self.reuse_client: + return SyncOpenAI(**self._get_credential_kwargs()) + + if self._client is None: + self._client = SyncOpenAI(**self._get_credential_kwargs()) + return self._client + + def _get_aclient(self) -> AsyncOpenAI: + if not self.reuse_client: + return AsyncOpenAI(**self._get_credential_kwargs(is_async=True)) + + if self._aclient is None: + self._aclient = AsyncOpenAI(**self._get_credential_kwargs(is_async=True)) + return self._aclient + + def _is_azure_client(self) -> bool: + return isinstance(self._get_client(), AzureOpenAI) + @classmethod def class_name(cls) -> str: - return "PaiEAS" + return "paieas_llm" @property def metadata(self) -> LLMMetadata: - return LLMMetadata(model_name=self.model_name) - - def _default_params(self): - params = { - "temperature": self.temperature, - "top_p": self.top_p, - "top_k": self.top_k, - "max_new_tokens": self.max_new_tokens, - } - return params - - @llm_completion_callback() - def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: - params = self._default_params() - params.update(kwargs) - response = self._call_eas(prompt, params=params) - text = self._process_eas_response(response) - return CompletionResponse(text=text) - - @llm_completion_callback() - async def acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: - params = self._default_params() - params.update(kwargs) - response = await self._call_eas_async(prompt, params=params) - text = self._process_eas_response(response) - return CompletionResponse(text=text) + return LLMMetadata(model_name="pai-eas-custom-llm", is_chat_model=True) @llm_chat_callback() def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: - chat_fn = completion_to_chat_decorator(self.complete) + if self._use_chat_completions(kwargs): + chat_fn = self._chat + else: + chat_fn = completion_to_chat_decorator(self._complete) return chat_fn(messages, **kwargs) - @llm_chat_callback() - async def achat( - self, messages: Sequence[ChatMessage], **kwargs: Any - ) -> ChatResponse: - chat_fn = acompletion_to_chat_decorator(self.acomplete) - return await chat_fn(messages, **kwargs) - - @llm_completion_callback() - def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: - return self._stream(prompt=prompt, kwargs=kwargs) - @llm_chat_callback() def stream_chat( self, messages: Sequence[ChatMessage], **kwargs: Any ) -> ChatResponseGen: - stream_chat_fn = stream_completion_to_chat_decorator(self.stream_complete) + if self._use_chat_completions(kwargs): + stream_chat_fn = self._stream_chat + else: + stream_chat_fn = stream_completion_to_chat_decorator(self._stream_complete) return stream_chat_fn(messages, **kwargs) - def _process_eas_response(self, response: Any) -> str: - if self.version == "1.0": - text = response + @llm_completion_callback() + def complete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponse: + if self._use_chat_completions(kwargs): + complete_fn = chat_to_completion_decorator(self._chat) + else: + complete_fn = self._complete + return complete_fn(prompt, **kwargs) + + @llm_completion_callback() + def stream_complete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponseGen: + if self._use_chat_completions(kwargs): + stream_complete_fn = stream_chat_to_completion_decorator(self._stream_chat) else: - text = response["response"] - return text - - def _call_eas(self, prompt: str = "", params: Dict = {}) -> Any: - """Generate text from the eas service.""" - headers = { - "Content-Type": "application/json", - "Authorization": f"{self.token}", + stream_complete_fn = self._stream_complete + return stream_complete_fn(prompt, **kwargs) + + def _use_chat_completions(self, kwargs: Dict[str, Any]) -> bool: + if "use_chat_completions" in kwargs: + return kwargs["use_chat_completions"] + return self.metadata.is_chat_model + + def _get_credential_kwargs(self, is_async: bool = False) -> Dict[str, Any]: + return { + "api_key": self.api_key, + "base_url": self.api_base, + "http_client": self._async_http_client if is_async else self._http_client, } - if self.version == "1.0": - body = { - "input_ids": f"{prompt}", - } + + @llm_retry_decorator + def _chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + client = self._get_client() + message_dicts = to_openai_message_dicts(messages) + if self.reuse_client: + response = client.chat.completions.create( + model="default", + messages=message_dicts, + stream=False, + ) else: - body = { - "prompt": f"{prompt}", - } + with client: + response = client.chat.completions.create( + model="default", + messages=message_dicts, + stream=False, + ) + + openai_message = response.choices[0].message + message = from_openai_message(openai_message) + openai_token_logprobs = response.choices[0].logprobs + logprobs = None + if openai_token_logprobs and openai_token_logprobs.content: + logprobs = from_openai_token_logprobs(openai_token_logprobs.content) + + return ChatResponse( + message=message, + raw=response, + logprobs=logprobs, + ) - # add params to body - for key, value in params.items(): - body[key] = value + @llm_retry_decorator + def _stream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseGen: + client = self._get_client() + message_dicts = to_openai_message_dicts(messages) - # make request - response = requests.post(self.endpoint, headers=headers, json=body) + def gen() -> ChatResponseGen: + content = "" - if response.status_code != 200: - raise Exception( - f"Request failed with status code {response.status_code}" - f" and message {response.text}" + for response in client.chat.completions.create( + model="default", + messages=message_dicts, + stream=True, + ): + response = cast(ChatCompletionChunk, response) + if len(response.choices) > 0: + delta = response.choices[0].delta + else: + if self._is_azure_client(): + continue + else: + delta = ChoiceDelta() + + # update using deltas + role = delta.role or MessageRole.ASSISTANT + content_delta = delta.content or "" + content += content_delta + + yield ChatResponse( + message=ChatMessage( + role=role, + content=content, + ), + delta=content_delta, + raw=response, + ) + + return gen() + + @llm_retry_decorator + def _complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + client = self._get_client() + + if self.reuse_client: + response = client.completions.create( + model="default", + prompt=prompt, + stream=False, ) - - try: - return json.loads(response.text) - except Exception as e: - raise e - - async def _call_eas_async(self, prompt: str = "", params: Dict = {}) -> Any: - """Generate text from the eas service.""" - headers = { - "Content-Type": "application/json", - "Authorization": f"{self.token}", - } - if self.version == "1.0": - body = { - "input_ids": f"{prompt}", - } else: - body = { - "prompt": f"{prompt}", - } - - # add params to body - for key, value in params.items(): - body[key] = value - - # make request - async with httpx.AsyncClient() as http_client: - response = await http_client.post( - url=self.endpoint, headers=headers, json=body, timeout=60 - ) + with client: + response = client.completions.create( + model="default", + prompt=prompt, + stream=False, + ) + text = response.choices[0].text + + openai_completion_logprobs = response.choices[0].logprobs + logprobs = None + if openai_completion_logprobs: + logprobs = from_openai_completion_logprobs(openai_completion_logprobs) + + return CompletionResponse( + text=text, + raw=response, + logprobs=logprobs, + ) - if response.status_code != 200: - raise Exception( - f"Request failed with status code {response.status_code}" - f" and message {response.text}" - ) + @llm_retry_decorator + def _stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + client = self._get_client() - try: - return json.loads(response.text) - except Exception as e: - raise e + def gen() -> CompletionResponseGen: + text = "" + for response in client.completions.create( + model="default", + prompt=prompt, + stream=True, + ): + if len(response.choices) > 0: + delta = response.choices[0].text + if delta is None: + delta = "" + else: + delta = "" + text += delta + yield CompletionResponse( + delta=delta, + text=text, + raw=response, + ) + + return gen() + + # ===== Async Endpoints ===== + @llm_chat_callback() + async def achat( + self, + messages: Sequence[ChatMessage], + **kwargs: Any, + ) -> ChatResponse: + achat_fn: Callable[..., Awaitable[ChatResponse]] + if self._use_chat_completions(kwargs): + achat_fn = self._achat + else: + achat_fn = acompletion_to_chat_decorator(self._acomplete) + return await achat_fn(messages, **kwargs) - def _stream( + @llm_chat_callback() + async def astream_chat( self, - prompt: str, + messages: Sequence[ChatMessage], **kwargs: Any, - ) -> CompletionResponseGen: - params = self._default_params() - headers = {"User-Agent": "PAI Rag Client", "Authorization": f"{self.token}"} + ) -> ChatResponseAsyncGen: + astream_chat_fn: Callable[..., Awaitable[ChatResponseAsyncGen]] + if self._use_chat_completions(kwargs): + astream_chat_fn = self._astream_chat + else: + astream_chat_fn = astream_completion_to_chat_decorator( + self._astream_complete + ) + return await astream_chat_fn(messages, **kwargs) + + @llm_completion_callback() + async def acomplete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponse: + if self._use_chat_completions(kwargs): + acomplete_fn = achat_to_completion_decorator(self._achat) + else: + acomplete_fn = self._acomplete + return await acomplete_fn(prompt, **kwargs) - if self.version == "1.0": - pload = {"input_ids": prompt, **params} - response = requests.post( - self.endpoint, headers=headers, json=pload, stream=True + @llm_completion_callback() + async def astream_complete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponseAsyncGen: + if self._use_chat_completions(kwargs): + astream_complete_fn = astream_chat_to_completion_decorator( + self._astream_chat ) + else: + astream_complete_fn = self._astream_complete + return await astream_complete_fn(prompt, **kwargs) - res = CompletionResponse(text=response.text) + @llm_retry_decorator + async def _achat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponse: + aclient = self._get_aclient() + message_dicts = to_openai_message_dicts(messages) - # yield text, if any - yield res + if self.reuse_client: + response = await aclient.chat.completions.create( + model="default", messages=message_dicts, stream=False + ) else: - pload = {"prompt": prompt, "use_stream_chat": "True", **params} + async with aclient: + response = await aclient.chat.completions.create( + model="default", + messages=message_dicts, + stream=False, + ) + + openai_message = response.choices[0].message + message = from_openai_message(openai_message) + openai_token_logprobs = response.choices[0].logprobs + logprobs = None + if openai_token_logprobs and openai_token_logprobs.content: + logprobs = from_openai_token_logprobs(openai_token_logprobs.content) + + return ChatResponse( + message=message, + raw=response, + logprobs=logprobs, + ) - response = requests.post( - self.endpoint, headers=headers, json=pload, stream=True + @llm_retry_decorator + async def _astream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseAsyncGen: + aclient = self._get_aclient() + message_dicts = to_openai_message_dicts(messages) + + async def gen() -> ChatResponseAsyncGen: + content = "" + + first_chat_chunk = True + async for response in await aclient.chat.completions.create( + model="default", + messages=message_dicts, + stream=True, + ): + response = cast(ChatCompletionChunk, response) + if len(response.choices) > 0: + # check if the first chunk has neither content nor tool_calls + # this happens when 1106 models end up calling multiple tools + if ( + first_chat_chunk + and response.choices[0].delta.content is None + and response.choices[0].delta.tool_calls is None + ): + first_chat_chunk = False + continue + delta = response.choices[0].delta + else: + if self._is_azure_client(): + continue + else: + delta = ChoiceDelta() + first_chat_chunk = False + + # update using deltas + role = delta.role or MessageRole.ASSISTANT + content_delta = delta.content or "" + content += content_delta + + yield ChatResponse( + message=ChatMessage( + role=role, + content=content, + ), + delta=content_delta, + raw=response, + ) + + return gen() + + @llm_retry_decorator + async def _acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + aclient = self._get_aclient() + + if self.reuse_client: + response = await aclient.completions.create( + model="default", + prompt=prompt, + stream=False, ) + else: + async with aclient: + response = await aclient.completions.create( + model="default", + prompt=prompt, + stream=False, + ) + + text = response.choices[0].text + openai_completion_logprobs = response.choices[0].logprobs + logprobs = None + if openai_completion_logprobs: + logprobs = from_openai_completion_logprobs(openai_completion_logprobs) + + return CompletionResponse( + text=text, + raw=response, + logprobs=logprobs, + ) - for chunk in response.iter_lines( - chunk_size=8192, decode_unicode=False, delimiter=b"\0" + @llm_retry_decorator + async def _astream_complete( + self, prompt: str, **kwargs: Any + ) -> CompletionResponseAsyncGen: + aclient = self._get_aclient() + + async def gen() -> CompletionResponseAsyncGen: + text = "" + async for response in await aclient.completions.create( + model="default", + prompt=prompt, + stream=True, ): - if chunk: - data = json.loads(chunk.decode("utf-8")) - text = data["response"] - - # yield text, if any - if text: - res = CompletionResponse(text=text) - yield res + if len(response.choices) > 0: + delta = response.choices[0].text + if delta is None: + delta = "" + else: + delta = "" + text += delta + yield CompletionResponse( + delta=delta, + text=text, + raw=response, + ) + + return gen() diff --git a/src/pai_rag/integrations/llms/paieas/base_old.py b/src/pai_rag/integrations/llms/paieas/base_old.py new file mode 100644 index 00000000..b667cc8a --- /dev/null +++ b/src/pai_rag/integrations/llms/paieas/base_old.py @@ -0,0 +1,249 @@ +from llama_index.core.base.llms.types import ( + ChatMessage, + ChatResponse, + ChatResponseGen, + CompletionResponse, + CompletionResponseGen, + LLMMetadata, +) +from llama_index.core.llms.callbacks import ( + llm_chat_callback, + llm_completion_callback, +) +from llama_index.core.llms.custom import CustomLLM +from llama_index.core.base.llms.generic_utils import ( + completion_to_chat_decorator, + stream_completion_to_chat_decorator, + acompletion_to_chat_decorator, +) +from typing import Any, Dict, Optional, Sequence +from llama_index.core.bridge.pydantic import Field +import json +import requests +import httpx + +DEFAULT_EAS_MODEL_NAME = "pai-eas-custom-llm" +DEFAULT_EAS_MAX_NEW_TOKENS = 512 + + +class PaiEAS(CustomLLM): + """PaiEas LLM.""" + + model_name: str = Field( + default=DEFAULT_EAS_MODEL_NAME, + description="The DashScope model to use.", + ) + endpoint: str = Field(default=None, description="The PAI EAS endpoint.") + token: str = Field(default=None, description="The PAI EAS token.") + max_new_tokens: int = Field( + default=DEFAULT_EAS_MAX_NEW_TOKENS, description="Max new tokens." + ) + temperature: Optional[float] = Field( + description="The temperature to use during generation.", + default=0.1, + gte=0.0, + lte=2.0, + ) + top_p: float = Field( + default=0.8, description="Sample probability threshold when generate." + ) + top_k: int = Field(default=30, description="Sample counter when generate.") + top_k: int = Field(default=30, description="Sample counter when generate.") + version: str = Field(default="2.0", description="PAI EAS endpoint version.") + + """ + Llm model deployed in Aliyun PAI EAS. + """ + + def __init__( + self, + endpoint: str = "", + token: str = "", + model_name: str = "", + max_new_tokens: int = DEFAULT_EAS_MAX_NEW_TOKENS, + temperature: float = 0.1, + top_p: float = 0.8, + top_k: int = 30, + version: str = "2.0", + **kwargs: Any, + ): + super().__init__( + endpoint=endpoint, + token=token, + model_name=model_name, + max_new_tokens=max_new_tokens, + temperature=temperature, + top_p=top_p, + top_k=top_k, + version=version, + kwargs=kwargs, + ) + + @classmethod + def class_name(cls) -> str: + return "PaiEAS" + + @property + def metadata(self) -> LLMMetadata: + return LLMMetadata(model_name=self.model_name) + + def _default_params(self): + params = { + "temperature": self.temperature, + "top_p": self.top_p, + "top_k": self.top_k, + "max_new_tokens": self.max_new_tokens, + } + return params + + @llm_completion_callback() + def complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + params = self._default_params() + params.update(kwargs) + response = self._call_eas(prompt, params=params) + text = self._process_eas_response(response) + return CompletionResponse(text=text) + + @llm_completion_callback() + async def acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + params = self._default_params() + params.update(kwargs) + response = await self._call_eas_async(prompt, params=params) + text = self._process_eas_response(response) + return CompletionResponse(text=text) + + @llm_chat_callback() + def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + chat_fn = completion_to_chat_decorator(self.complete) + return chat_fn(messages, **kwargs) + + @llm_chat_callback() + async def achat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponse: + chat_fn = acompletion_to_chat_decorator(self.acomplete) + return await chat_fn(messages, **kwargs) + + @llm_completion_callback() + def stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + return self._stream(prompt=prompt, kwargs=kwargs) + + @llm_chat_callback() + def stream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseGen: + stream_chat_fn = stream_completion_to_chat_decorator(self.stream_complete) + return stream_chat_fn(messages, **kwargs) + + def _process_eas_response(self, response: Any) -> str: + if self.version == "1.0": + text = response + else: + text = response["response"] + return text + + def _call_eas(self, prompt: str = "", params: Dict = {}) -> Any: + """Generate text from the eas service.""" + headers = { + "Content-Type": "application/json", + "Authorization": f"{self.token}", + } + if self.version == "1.0": + body = { + "input_ids": f"{prompt}", + } + else: + body = { + "prompt": f"{prompt}", + } + + # add params to body + for key, value in params.items(): + body[key] = value + + # make request + response = requests.post(self.endpoint, headers=headers, json=body) + + if response.status_code != 200: + raise Exception( + f"Request failed with status code {response.status_code}" + f" and message {response.text}" + ) + + try: + return json.loads(response.text) + except Exception as e: + raise e + + async def _call_eas_async(self, prompt: str = "", params: Dict = {}) -> Any: + """Generate text from the eas service.""" + headers = { + "Content-Type": "application/json", + "Authorization": f"{self.token}", + } + if self.version == "1.0": + body = { + "input_ids": f"{prompt}", + } + else: + body = { + "prompt": f"{prompt}", + } + + # add params to body + for key, value in params.items(): + body[key] = value + + # make request + async with httpx.AsyncClient() as http_client: + response = await http_client.post( + url=self.endpoint, headers=headers, json=body, timeout=60 + ) + + if response.status_code != 200: + raise Exception( + f"Request failed with status code {response.status_code}" + f" and message {response.text}" + ) + + try: + return json.loads(response.text) + except Exception as e: + raise e + + def _stream( + self, + prompt: str, + **kwargs: Any, + ) -> CompletionResponseGen: + params = self._default_params() + headers = {"User-Agent": "PAI Rag Client", "Authorization": f"{self.token}"} + + if self.version == "1.0": + pload = {"input_ids": prompt, **params} + response = requests.post( + self.endpoint, headers=headers, json=pload, stream=True + ) + + res = CompletionResponse(text=response.text) + + # yield text, if any + yield res + else: + pload = {"prompt": prompt, "use_stream_chat": "True", **params} + + response = requests.post( + self.endpoint, headers=headers, json=pload, stream=True + ) + + for chunk in response.iter_lines( + chunk_size=8192, decode_unicode=False, delimiter=b"\0" + ): + if chunk: + data = json.loads(chunk.decode("utf-8")) + text = data["response"] + + # yield text, if any + if text: + res = CompletionResponse(text=text) + yield res diff --git a/src/pai_rag/integrations/synthesizer/my_synthesizer.py b/src/pai_rag/integrations/synthesizer/my_synthesizer.py new file mode 100644 index 00000000..73cb1c6c --- /dev/null +++ b/src/pai_rag/integrations/synthesizer/my_synthesizer.py @@ -0,0 +1,115 @@ +from typing import Any, Generator, Optional, Sequence, cast + +from llama_index.core.callbacks.base import CallbackManager +from llama_index.core.indices.prompt_helper import PromptHelper +from llama_index.core.prompts import BasePromptTemplate +from llama_index.core.prompts.default_prompt_selectors import ( + DEFAULT_TEXT_QA_PROMPT_SEL, +) +from llama_index.core.prompts.mixin import PromptDictType +from llama_index.core.response_synthesizers.base import BaseSynthesizer +from llama_index.core.service_context import ServiceContext +from llama_index.core.service_context_elements.llm_predictor import LLMPredictorType +from llama_index.core.types import RESPONSE_TEXT_TYPE + + +class MySimpleSummarize(BaseSynthesizer): + def __init__( + self, + llm: Optional[LLMPredictorType] = None, + callback_manager: Optional[CallbackManager] = None, + prompt_helper: Optional[PromptHelper] = None, + text_qa_template: Optional[BasePromptTemplate] = None, + streaming: bool = False, + # deprecated + service_context: Optional[ServiceContext] = None, + ) -> None: + if service_context is not None: + prompt_helper = service_context.prompt_helper + + super().__init__( + llm=llm, + callback_manager=callback_manager, + prompt_helper=prompt_helper, + service_context=service_context, + streaming=streaming, + ) + self._text_qa_template = text_qa_template or DEFAULT_TEXT_QA_PROMPT_SEL + + def _get_prompts(self) -> PromptDictType: + """Get prompts.""" + return {"text_qa_template": self._text_qa_template} + + def _update_prompts(self, prompts: PromptDictType) -> None: + """Update prompts.""" + if "text_qa_template" in prompts: + self._text_qa_template = prompts["text_qa_template"] + + async def aget_response( + self, + query_str: str, + text_chunks: Sequence[str], + **response_kwargs: Any, + ) -> RESPONSE_TEXT_TYPE: + text_qa_template = self._text_qa_template.partial_format(query_str=query_str) + single_text_chunk = "\n".join(text_chunks) + truncated_chunks = self._prompt_helper.truncate( + prompt=text_qa_template, + text_chunks=[single_text_chunk], + ) + + response: RESPONSE_TEXT_TYPE + if not self._streaming: + response = await self._llm.apredict( + text_qa_template, + context_str=truncated_chunks, + **response_kwargs, + ) + else: + # customized modify [will be removed] + response = await self._llm.astream( + text_qa_template, + context_str=truncated_chunks, + **response_kwargs, + ) + + if isinstance(response, str): + response = response or "Empty Response" + else: + response = cast(Generator, response) + + return response + + def get_response( + self, + query_str: str, + text_chunks: Sequence[str], + **kwargs: Any, + ) -> RESPONSE_TEXT_TYPE: + text_qa_template = self._text_qa_template.partial_format(query_str=query_str) + single_text_chunk = "\n".join(text_chunks) + truncated_chunks = self._prompt_helper.truncate( + prompt=text_qa_template, + text_chunks=[single_text_chunk], + ) + + response: RESPONSE_TEXT_TYPE + if not self._streaming: + response = self._llm.predict( + text_qa_template, + context_str=truncated_chunks, + **kwargs, + ) + else: + response = self._llm.stream( + text_qa_template, + context_str=truncated_chunks, + **kwargs, + ) + + if isinstance(response, str): + response = response or "Empty Response" + else: + response = cast(Generator, response) + + return response diff --git a/src/pai_rag/modules/llm/llm_module.py b/src/pai_rag/modules/llm/llm_module.py index 7511766b..dbabc612 100644 --- a/src/pai_rag/modules/llm/llm_module.py +++ b/src/pai_rag/modules/llm/llm_module.py @@ -5,7 +5,7 @@ from llama_index.llms.azure_openai import AzureOpenAI # from llama_index.llms.dashscope import DashScope -from pai_rag.modules.llm.my_dashscope import MyDashScope +from pai_rag.integrations.llms.dashscope.base import MyDashScope from pai_rag.integrations.llms.paieas.base import PaiEAS from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG @@ -73,12 +73,9 @@ def _create_new_instance(self, new_params: Dict[str, Any]): token = {token} """ ) - llm = PaiEAS( - endpoint=endpoint, - token=token, - model_name=model_name, - temperature=config.get("temperature", 0.1), - ) + from urllib.parse import urljoin + + llm = PaiEAS(api_key=token, api_base=urljoin(endpoint, "v1")) else: raise ValueError(f"Unknown LLM source: '{config['llm']['source']}'") diff --git a/src/pai_rag/modules/synthesizer/synthesizer.py b/src/pai_rag/modules/synthesizer/synthesizer.py index f2646d69..56cbd6e9 100644 --- a/src/pai_rag/modules/synthesizer/synthesizer.py +++ b/src/pai_rag/modules/synthesizer/synthesizer.py @@ -21,7 +21,7 @@ Refine, CompactAndRefine, TreeSummarize, - SimpleSummarize, + # SimpleSummarize, ) # from llama_index.core.response_synthesizers.type import ResponseMode @@ -36,6 +36,7 @@ from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.utils.prompt_template import DEFAULT_TEXT_QA_PROMPT_TMPL +from pai_rag.integrations.synthesizer.my_synthesizer import MySimpleSummarize logger = logging.getLogger(__name__) @@ -149,8 +150,8 @@ def _create_response_synthesizer( service_context=service_context, ) elif response_mode == "SimpleSummarize": - logger.info("SimpleSummarize synthesizer used") - return SimpleSummarize( + logger.info("MySimpleSummarize synthesizer used") + return MySimpleSummarize( llm=llm, callback_manager=callback_manager, prompt_helper=prompt_helper, From 5c0f26b139ea95c8404041b59aac1d733cd026a7 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 18 Jul 2024 14:00:16 +0800 Subject: [PATCH 44/69] Add image node processor (#114) * Fit image in response * Add image insert * Fix llm max-token --- poetry.lock | 17 ++++- pyproject.toml | 1 + pyproject_gpu.toml | 1 + src/pai_rag/app/api/query.py | 6 +- src/pai_rag/app/web/rag_client.py | 28 ++++++-- src/pai_rag/app/web/tabs/chat_tab.py | 41 ++++++++---- src/pai_rag/app/web/ui_constants.py | 4 +- src/pai_rag/app/web/view_model.py | 5 +- src/pai_rag/app/web/webui.py | 12 ++++ src/pai_rag/config/settings.toml | 3 + src/pai_rag/core/rag_application.py | 15 ++++- src/pai_rag/data/rag_dataloader.py | 4 +- .../integrations/llms/dashscope/base.py | 3 +- .../integrations/readers/pai_image_reader.py | 64 +++++++++++++++++++ src/pai_rag/modules/__init__.py | 2 + .../modules/datareader/datareader_factory.py | 8 ++- src/pai_rag/modules/index/store.py | 2 + src/pai_rag/modules/llm/llm_module.py | 4 +- src/pai_rag/modules/llm/multi_modal_llm.py | 26 ++++++++ src/pai_rag/modules/module_registry.py | 1 + .../queryengine/my_retriever_query_engine.py | 5 +- 21 files changed, 218 insertions(+), 34 deletions(-) create mode 100644 src/pai_rag/integrations/readers/pai_image_reader.py create mode 100644 src/pai_rag/modules/llm/multi_modal_llm.py diff --git a/poetry.lock b/poetry.lock index 7af1442c..6012907e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -3196,6 +3196,21 @@ files = [ [package.dependencies] llama-index-core = ">=0.10.24,<0.11.0" +[[package]] +name = "llama-index-multi-modal-llms-dashscope" +version = "0.1.2" +description = "llama-index multi modal llms dashscope integration" +optional = false +python-versions = ">=3.8.1,<4.0" +files = [ + {file = "llama_index_multi_modal_llms_dashscope-0.1.2-py3-none-any.whl", hash = "sha256:aa4fa40ca60eacf9b3639d7eca1af19c1f71e5def244666fe6c50cfcbd479e6d"}, + {file = "llama_index_multi_modal_llms_dashscope-0.1.2.tar.gz", hash = "sha256:4222e055f14edb9b8e886068d499a0b68b805b32477cc68fc2d1b95703bfbae9"}, +] + +[package.dependencies] +dashscope = ">=1.14.1,<2.0.0" +llama-index-core = ">=0.10.1,<0.11.0" + [[package]] name = "llama-index-multi-modal-llms-openai" version = "0.1.6" @@ -8546,4 +8561,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "431dad512e661cd03528e67eeceb3c9ebda67563ac4bbb9b60cf63eac5c9ee2e" +content-hash = "94fc81a2563b67c4f1b7cdf55840c21d93c389bc9c8c13bf54da0091c493fe7f" diff --git a/pyproject.toml b/pyproject.toml index 57a7e815..a1731e4b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -76,6 +76,7 @@ locust = "^2.29.0" gunicorn = "^22.0.0" protobuf = "3.20.0" modelscope = "^1.16.0" +llama-index-multi-modal-llms-dashscope = "^0.1.2" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index 73b66a23..7a9b947e 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -68,6 +68,7 @@ locust = "^2.29.0" gunicorn = "^22.0.0" protobuf = "3.20.0" modelscope = "^1.16.0" +llama-index-multi-modal-llms-dashscope = "^0.1.2" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index c6222081..5bd4bc13 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -30,7 +30,11 @@ async def aquery(query: RagQuery): else: return StreamingResponse( event_generator_async(response[0]), - headers={"x-session-id": response[1], "reference_docs": response[2]}, + headers={ + "x-session-id": response[1], + "images": response[2], + "docs": response[3], + }, media_type="text/plain", ) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 461edd49..54a19cd7 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -5,6 +5,7 @@ import markdown import httpx import os +import re import mimetypes from http import HTTPStatus from pai_rag.app.web.view_model import ViewModel @@ -84,13 +85,21 @@ def query(self, text: str, session_id: str = None, stream: bool = False): response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE else: referenced_docs = "" + images = "" for i, doc in enumerate(response["docs"]): - referenced_docs += f'[{i+1}]: {doc["metadata"]["file_name"][33:]} Score:{doc["score"]} \n' - + formatted_file_name = re.sub( + "^[0-9a-z]{32}_", "", doc["metadata"]["file_name"] + ) + referenced_docs += ( + f'[{i+1}]: {formatted_file_name} Score:{doc["score"]} \n' + ) + image_url = doc["metadata"].get("image_url", None) + if image_url: + images += f"""""" if session_id: - formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n {images} \n\n **Reference**:\n {referenced_docs}' else: - formatted_text = f'**Answer**: {response["answer"]} \n\n **Reference**:\n {referenced_docs}' + formatted_text = f'**Answer**: {response["answer"]} \n\n {images} \n\n **Reference**:\n {referenced_docs}' response["answer"] = formatted_text return response return r @@ -127,15 +136,20 @@ def query_vector(self, text: str): if r.status_code != HTTPStatus.OK: raise RagApiError(code=r.status_code, msg=response.message) - formatted_text = "DocumentScoreText\n" + formatted_text = ( + "DocumentScoreTextMedia\n" + ) if len(response["docs"]) == 0: response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE else: for i, doc in enumerate(response["docs"]): html_content = markdown.markdown(doc["text"]) + media_url = doc.get("metadata", {}).get("image_url", None) + if media_url: + media_url = f"""""" safe_html_content = html.escape(html_content).replace("\n", "
          ") - formatted_text += 'Doc {}{}{}\n'.format( - i + 1, doc["score"], safe_html_content + formatted_text += 'Doc {}{}{}{}\n'.format( + i + 1, doc["score"], safe_html_content, media_url ) formatted_text = ( "\n\n" + formatted_text + "\n
          " diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index 04118e64..69b34702 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -19,9 +19,12 @@ def clear_history(chatbot): return chatbot, 0 +def reset_textbox(): + return gr.update(value="") + + def respond(input_elements: List[Any]): global current_session_id - update_dict = {} for element, value in input_elements.items(): update_dict[element.elem_id] = value @@ -60,28 +63,29 @@ def respond(input_elements: List[Any]): if query_type == "Retrieval": chatbot.append((msg, response.answer)) - yield "", chatbot, 0 + yield chatbot elif is_streaming: current_session_id = response.headers["x-session-id"] chatbot.append([msg, None]) - chatbot[-1][1] = "Answer:" + chatbot[-1][1] = "" for chunk in response.iter_lines( chunk_size=8192, decode_unicode=False, delimiter=b"\0" ): if chunk: chatbot[-1][1] += chunk.decode("utf-8") - yield "", chatbot, 0 + yield chatbot time.sleep(0.1) if query_type != "LLM": - refernce_docs = response.headers["reference_docs"] - chatbot[-1][1] += "\n\n **Reference:** \n" + refernce_docs.replace( - "+++", "\n" - ) - yield "", chatbot, 0 + images = response.headers["images"] + chatbot[-1][1] += f"\n\n{images}" + + docs = response.headers["docs"] + chatbot[-1][1] += "\n\n **Reference:** \n" + docs.replace("+++", "\n") + yield chatbot else: current_session_id = response["session_id"] chatbot.append((msg, response["answer"])) - yield "", chatbot, 0 + yield chatbot def create_chat_tab() -> Dict[str, Any]: @@ -260,15 +264,28 @@ def change_query_radio(query_type): submitBtn.click( respond, chat_args, - [question, chatbot, cur_tokens], + [chatbot], api_name="respond_clk", ) question.submit( respond, chat_args, - [question, chatbot, cur_tokens], + [chatbot], api_name="respond_q", ) + submitBtn.click( + reset_textbox, + [], + [question], + api_name="reset_clk", + ) + question.submit( + reset_textbox, + [], + [question], + api_name="reset_q", + ) + clearBtn.click(clear_history, [chatbot], [chatbot, cur_tokens]) return { similarity_top_k.elem_id: similarity_top_k, diff --git a/src/pai_rag/app/web/ui_constants.py b/src/pai_rag/app/web/ui_constants.py index d6586fce..ebe4454c 100644 --- a/src/pai_rag/app/web/ui_constants.py +++ b/src/pai_rag/app/web/ui_constants.py @@ -14,7 +14,7 @@ # \N{fire} Chatbot with RAG on PAI ! ### \N{rocket} Build your own personalized knowledge base question-answering chatbot. - #### \N{fire} Platform: [PAI](https://help.aliyun.com/zh/pai) / [PAI-EAS](https://www.aliyun.com/product/bigdata/learn/eas) / [PAI-DSW](https://pai.console.aliyun.com/notebook)   \N{rocket} Supported VectorStores: [Hologres](https://www.aliyun.com/product/bigdata/hologram) / [ElasticSearch](https://www.aliyun.com/product/bigdata/elasticsearch) / [AnalyticDB](https://www.aliyun.com/product/apsaradb/gpdb) / [FAISS](https://python.langchain.com/docs/integrations/vectorstores/faiss) + #### \N{fire} Platform: [PAI](https://help.aliyun.com/zh/pai) / [PAI-EAS](https://www.aliyun.com/product/bigdata/learn/eas) / [PAI-DSW](https://pai.console.aliyun.com/notebook)   \N{rocket} Supported VectorStores: [Milvus](https://www.aliyun.com/product/bigdata/emapreduce/milvus) / [Hologres](https://www.aliyun.com/product/bigdata/hologram) / [ElasticSearch](https://www.aliyun.com/product/bigdata/elasticsearch) / [AnalyticDB](https://www.aliyun.com/product/apsaradb/gpdb) / [FAISS](https://python.langchain.com/docs/integrations/vectorstores/faiss) #### \N{fire}           API Docs   \N{rocket} \N{fire} 欢迎加入【PAI】RAG答疑群 27370042974 """ @@ -29,7 +29,7 @@ DEFAULT_EMBED_SIZE = 1536 EMBEDDING_DIM_DICT = { - "bge-small-zh-v1.5": 1024, + "bge-small-zh-v1.5": 512, "SGPT-125M-weightedmean-nli-bitfit": 768, "text2vec-large-chinese": 1024, "paraphrase-multilingual-MiniLM-L12-v2": 384, diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index 67b6966d..47a1847d 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -136,7 +136,7 @@ def from_app_config(config): view_model.llm_temperature = config["llm"].get( "temperature", view_model.llm_temperature ) - if view_model.llm == "PaiEAS": + if view_model.llm.lower() == "paieas": view_model.llm_eas_model_name = config["llm"].get( "name", view_model.llm_eas_model_name ) @@ -256,7 +256,7 @@ def to_app_config(self): config["llm"]["token"] = self.llm_eas_token config["llm"]["api_key"] = self.llm_api_key config["llm"]["temperature"] = self.llm_temperature - if self.llm == "PaiEas": + if self.llm.lower() == "paieas": config["llm"]["name"] = self.llm_eas_model_name else: config["llm"]["name"] = self.llm_api_model_name @@ -435,6 +435,7 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["llm_api_model_name"] = { "value": self.llm_api_model_name, "choices": LLM_MODEL_KEY_DICT.get(self.llm, []), + "visible": self.llm.lower() != "paieas", } settings["chunk_size"] = {"value": self.chunk_size} settings["chunk_overlap"] = {"value": self.chunk_overlap} diff --git a/src/pai_rag/app/web/webui.py b/src/pai_rag/app/web/webui.py index 9a8d1be0..7bac0fef 100644 --- a/src/pai_rag/app/web/webui.py +++ b/src/pai_rag/app/web/webui.py @@ -1,5 +1,6 @@ from fastapi import FastAPI import gradio as gr +import os from pai_rag.app.web.view_model import ViewModel from pai_rag.app.web.rag_client import rag_client from pai_rag.app.web.tabs.settings_tab import create_setting_tab @@ -14,6 +15,8 @@ import logging DEFAULT_LOCAL_URL = "http://localhost:8001/" +DEFAULT_IS_INTERACTIVE = os.environ.get("PAIRAG_RAG__SETTING__interactive", "true") + logger = logging.getLogger("WebUILogger") @@ -26,6 +29,15 @@ def resume_ui(): for elem in elem_manager.get_elem_list(): elem_id = elem.elem_id if elem_id in component_settings.keys(): + if DEFAULT_IS_INTERACTIVE.lower() == "false" and elem_id == "llm": + outputs[elem] = "PaiEas" + continue + elif ( + DEFAULT_IS_INTERACTIVE.lower() == "false" and elem_id == "llm_eas_token" + ): + outputs[elem] = "******" + continue + elem_attr = component_settings[elem_id] elem = elem_manager.get_elem_by_id(elem_id=elem_id) # For gradio version 3.41.0, we can remove .value for latest gradio here. diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml index b80f753e..4d5f6996 100644 --- a/src/pai_rag/config/settings.toml +++ b/src/pai_rag/config/settings.toml @@ -50,6 +50,9 @@ name = "qwen-turbo" [rag.llm_chat_engine] type = "SimpleChatEngine" +[rag.multi_modal_llm] +source = "" + [rag.node_parser] type = "Sentence" chunk_size = 500 diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 5088405f..153ff20a 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -11,6 +11,7 @@ from llama_index.core.schema import QueryBundle import logging from uuid import uuid4 +import re def uuid_generator() -> str: @@ -130,10 +131,20 @@ async def aquery(self, query: RagQuery): new_query=new_query, ) else: + reference_image_text = "" referenced_docs_text = "" for i, node in enumerate(node_results): - referenced_docs_text += f"[{i+1}]: {node.node.metadata.get('file_name')[33:]} Score:{node.score} +++" - return [response, session_id, referenced_docs_text] + image_url = node.node.metadata.get("image_url", "") + if image_url: + reference_image_text += f"""""" + + file_name = node.node.metadata.get("file_name") + formatted_file_name = re.sub("^[0-9a-z]{32}_", "", file_name) + referenced_docs_text += ( + f"[{i+1}]: {formatted_file_name} Score:{node.score} +++" + ) + + return [response, session_id, reference_image_text, referenced_docs_text] async def aquery_llm(self, query: LlmQuery): """Query answer from LLM response asynchronously. diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index 34a561bb..dbe0e109 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -20,7 +20,9 @@ DEFAULT_LOCAL_QA_MODEL_PATH = "./model_repository/qwen_1.8b" -DOC_TYPES_DO_NOT_NEED_CHUNKING = set([".csv", ".xlsx", ".xls", ".htm", ".html"]) +DOC_TYPES_DO_NOT_NEED_CHUNKING = set( + [".csv", ".xlsx", ".xls", ".htm", ".html", ".imagelist"] +) class RagDataLoader: diff --git a/src/pai_rag/integrations/llms/dashscope/base.py b/src/pai_rag/integrations/llms/dashscope/base.py index 5a4635b9..4a9b5f82 100644 --- a/src/pai_rag/integrations/llms/dashscope/base.py +++ b/src/pai_rag/integrations/llms/dashscope/base.py @@ -404,7 +404,6 @@ async def gen() -> ChatResponseAsyncGen: raw=r, ) else: - yield ChatResponse(message=ChatMessage(), raw=response) - return + raise ValueError(f"Call DashScope failed: {r}") return gen() diff --git a/src/pai_rag/integrations/readers/pai_image_reader.py b/src/pai_rag/integrations/readers/pai_image_reader.py new file mode 100644 index 00000000..37da582a --- /dev/null +++ b/src/pai_rag/integrations/readers/pai_image_reader.py @@ -0,0 +1,64 @@ +"""Tabular parser-CSV parser. + +Contains parsers for tabular data files. + +""" + +from pathlib import Path +import hashlib +from typing import Any, Dict, List, Optional +from fsspec import AbstractFileSystem +import os +from tqdm import tqdm +from llama_index.core.readers.base import BaseReader +from llama_index.core.schema import Document +from llama_index.core.multi_modal_llms.generic_utils import load_image_urls +import logging + +logger = logging.getLogger(__name__) + + +class PaiImageReader(BaseReader): + """Image parser. + + Args: + multi-modal llm (LLM) + + """ + + def __init__(self, multimodal_llm: Any, *args: Any, **kwargs: Any) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + self._multimodal_llm = multimodal_llm + + def load_data( + self, + file_path: Path, + extra_info: Optional[Dict] = None, + fs: Optional[AbstractFileSystem] = None, + ) -> List[Document]: + image_urls = [] + with open(file_path, "r", encoding="utf-8") as file: + image_urls = [line.strip() for line in file.readlines()] + + logger.info(f"Get {len(image_urls)} image urls. Start parsing.") + docs = [] + for url in tqdm(image_urls): + url_hash = hashlib.md5(url.encode("utf-8")).hexdigest() + + image_documents = load_image_urls([url]) + image_response = self._multimodal_llm.complete( + prompt="详细描述图片中是什么", + image_documents=image_documents, + ) + print(url, image_response.text) + + metadata = {} + metadata["file_name"] = f"{url_hash}_{os.path.basename(url)}" + metadata["file_path"] = url + metadata["image_url"] = url + if extra_info: + metadata.update(extra_info) + + docs.append(Document(text=image_response.text, metadata=metadata)) + return docs diff --git a/src/pai_rag/modules/__init__.py b/src/pai_rag/modules/__init__.py index 1f85635f..900dddcf 100644 --- a/src/pai_rag/modules/__init__.py +++ b/src/pai_rag/modules/__init__.py @@ -1,5 +1,6 @@ from pai_rag.modules.embedding.embedding import EmbeddingModule from pai_rag.modules.llm.llm_module import LlmModule +from pai_rag.modules.llm.multi_modal_llm import MultiModalLlmModule from pai_rag.modules.datareader.data_loader import DataLoaderModule from pai_rag.modules.datareader.datareader_factory import DataReaderFactoryModule from pai_rag.modules.index.index import IndexModule @@ -20,6 +21,7 @@ ALL_MODULES = [ "EmbeddingModule", + "MultiModalLlmModule", "LlmModule", "DataLoaderModule", "DataReaderFactoryModule", diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 45d7cc05..2de917aa 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -1,5 +1,6 @@ from typing import Any, Dict, List from pai_rag.integrations.readers.markdown_reader import MarkdownReader +from pai_rag.integrations.readers.pai_image_reader import PaiImageReader from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.integrations.readers.pai_pdf_reader import PaiPDFReader @@ -17,10 +18,11 @@ class DataReaderFactoryModule(ConfigurableModule): @staticmethod def get_dependencies() -> List[str]: - return [] + return ["MultiModalLlmModule"] def _create_new_instance(self, new_params: Dict[str, Any]): self.reader_config = new_params[MODULE_PARAM_CONFIG] + self.multi_modal_llm = new_params["MultiModalLlmModule"] self.file_readers = { ".html": HtmlReader(), ".htm": HtmlReader(), @@ -39,6 +41,10 @@ def _create_new_instance(self, new_params: Dict[str, Any]): ), ".md": MarkdownReader(), } + + if self.multi_modal_llm: + self.file_readers[".imagelist"] = PaiImageReader(self.multi_modal_llm) + return self def get_reader(self, input_files: str): diff --git a/src/pai_rag/modules/index/store.py b/src/pai_rag/modules/index/store.py index d95bfb98..61b83258 100644 --- a/src/pai_rag/modules/index/store.py +++ b/src/pai_rag/modules/index/store.py @@ -156,6 +156,8 @@ def _get_or_create_milvus(self): dim=self.embed_dims, enable_sparse=True, sparse_embedding_function=BGEM3SparseEmbeddingFunction(), + hybrid_ranker="WeightedRanker", + hybrid_ranker_params={"weights": [0.7, 0.3]}, ) def _get_or_create_simple_doc_store(self): diff --git a/src/pai_rag/modules/llm/llm_module.py b/src/pai_rag/modules/llm/llm_module.py index dbabc612..a2b71693 100644 --- a/src/pai_rag/modules/llm/llm_module.py +++ b/src/pai_rag/modules/llm/llm_module.py @@ -59,7 +59,9 @@ def _create_new_instance(self, new_params: Dict[str, Any]): """ ) llm = MyDashScope( - model_name=model_name, temperature=config.get("temperature", 0.1) + model_name=model_name, + temperature=config.get("temperature", 0.1), + max_tokens=2000, ) elif source == "paieas": model_name = config.get("name", "PAI-EAS-LLM") diff --git a/src/pai_rag/modules/llm/multi_modal_llm.py b/src/pai_rag/modules/llm/multi_modal_llm.py new file mode 100644 index 00000000..e87d4f0c --- /dev/null +++ b/src/pai_rag/modules/llm/multi_modal_llm.py @@ -0,0 +1,26 @@ +import logging +from typing import Dict, List, Any +from llama_index.multi_modal_llms.dashscope import ( + DashScopeMultiModal, + DashScopeMultiModalModels, +) + +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG + +logger = logging.getLogger(__name__) + + +class MultiModalLlmModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return [] + + def _create_new_instance(self, new_params: Dict[str, Any]): + llm_config = new_params[MODULE_PARAM_CONFIG] + if llm_config.source.lower() == "dashscope": + logger.info("Using DashScope Multi-Modal-LLM.") + return DashScopeMultiModal(model_name=DashScopeMultiModalModels.QWEN_VL_MAX) + else: + logger.info("Don't use Multi-Modal-LLM.") + return None diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index 83a0f6b7..30562687 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -9,6 +9,7 @@ "IndexModule": "index", "EmbeddingModule": "embedding", "LlmModule": "llm", + "MultiModalLlmModule": "multi_modal_llm", "NodeParserModule": "node_parser", "RetrieverModule": "retriever", "PostprocessorModule": "postprocessor", diff --git a/src/pai_rag/modules/queryengine/my_retriever_query_engine.py b/src/pai_rag/modules/queryengine/my_retriever_query_engine.py index 3a615f7a..7f157712 100644 --- a/src/pai_rag/modules/queryengine/my_retriever_query_engine.py +++ b/src/pai_rag/modules/queryengine/my_retriever_query_engine.py @@ -23,7 +23,8 @@ class MyRetrieverQueryEngine(RetrieverQueryEngine): def retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: nodes = self._retriever.retrieve(query_bundle) - return self._apply_node_postprocessors(nodes, query_bundle=query_bundle) + nodes = self._apply_node_postprocessors(nodes, query_bundle=query_bundle) + return [n for n in nodes if n.score > 0] # 支持异步 async def aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: @@ -35,7 +36,7 @@ async def aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: query_bundle=query_bundle, ) - return nodes + return [n for n in nodes if n.score > 0] @dispatcher.span def _query(self, query_bundle: QueryBundle) -> RESPONSE_TYPE: From db3df96bb949d8018bc9c03d8efac76ea00fee58 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 18 Jul 2024 19:09:46 +0800 Subject: [PATCH 45/69] Fix bug (#115) --- src/pai_rag/app/web/webui.py | 9 --------- src/pai_rag/modules/llm/llm_module.py | 21 ++++++++++++++++++++- 2 files changed, 20 insertions(+), 10 deletions(-) diff --git a/src/pai_rag/app/web/webui.py b/src/pai_rag/app/web/webui.py index 7bac0fef..b772e5ce 100644 --- a/src/pai_rag/app/web/webui.py +++ b/src/pai_rag/app/web/webui.py @@ -29,15 +29,6 @@ def resume_ui(): for elem in elem_manager.get_elem_list(): elem_id = elem.elem_id if elem_id in component_settings.keys(): - if DEFAULT_IS_INTERACTIVE.lower() == "false" and elem_id == "llm": - outputs[elem] = "PaiEas" - continue - elif ( - DEFAULT_IS_INTERACTIVE.lower() == "false" and elem_id == "llm_eas_token" - ): - outputs[elem] = "******" - continue - elem_attr = component_settings[elem_id] elem = elem_manager.get_elem_by_id(elem_id=elem_id) # For gradio version 3.41.0, we can remove .value for latest gradio here. diff --git a/src/pai_rag/modules/llm/llm_module.py b/src/pai_rag/modules/llm/llm_module.py index a2b71693..fecfeab5 100644 --- a/src/pai_rag/modules/llm/llm_module.py +++ b/src/pai_rag/modules/llm/llm_module.py @@ -4,6 +4,8 @@ from llama_index.llms.openai import OpenAI from llama_index.llms.azure_openai import AzureOpenAI +import os + # from llama_index.llms.dashscope import DashScope from pai_rag.integrations.llms.dashscope.base import MyDashScope from pai_rag.integrations.llms.paieas.base import PaiEAS @@ -21,7 +23,24 @@ def get_dependencies() -> List[str]: def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] source = config["source"].lower() - if source == "openai": + + # Get DASHSCOPE KEY, will use dashscope LLM + # Since we might have already configured key for dashscope mebedding and multi-modal + # Will refine later. + if os.getenv("DASHSCOPE_API_KEY", None): + model_name = "qwen-turbo" + logger.info( + f""" + [Parameters][LLM:DashScope] + model = {model_name} + """ + ) + llm = MyDashScope( + model_name=model_name, + temperature=config.get("temperature", 0.1), + max_tokens=2000, + ) + elif source == "openai": logger.info( f""" [Parameters][LLM:OpenAI] From 18e001f8439312731c3f02ec9e097e6c77511ce6 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Fri, 19 Jul 2024 12:31:26 +0800 Subject: [PATCH 46/69] Fix bugs for chinese escaped string in API header (#117) --- src/pai_rag/app/api/query.py | 7 +++++-- src/pai_rag/app/web/tabs/chat_tab.py | 12 +++++++----- 2 files changed, 12 insertions(+), 7 deletions(-) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 5bd4bc13..32c5400f 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -12,6 +12,7 @@ LlmResponse, ) from fastapi.responses import StreamingResponse +import urllib.parse router = APIRouter() @@ -28,12 +29,14 @@ async def aquery(query: RagQuery): if not query.stream: return response else: + images_escaped_string = urllib.parse.quote(response[2]) + docs_escaped_string = urllib.parse.quote(response[3]) return StreamingResponse( event_generator_async(response[0]), headers={ "x-session-id": response[1], - "images": response[2], - "docs": response[3], + "images": images_escaped_string, + "docs": docs_escaped_string, }, media_type="text/plain", ) diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index 69b34702..48f90f41 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -8,6 +8,7 @@ ACCURATE_CONTENT_PROMPTS, ) import time +import urllib.parse current_session_id = None @@ -76,11 +77,12 @@ def respond(input_elements: List[Any]): yield chatbot time.sleep(0.1) if query_type != "LLM": - images = response.headers["images"] - chatbot[-1][1] += f"\n\n{images}" - - docs = response.headers["docs"] - chatbot[-1][1] += "\n\n **Reference:** \n" + docs.replace("+++", "\n") + images_decoded_string = urllib.parse.unquote(response.headers["images"]) + chatbot[-1][1] += f"\n\n{images_decoded_string}" + docs_decoded_string = urllib.parse.unquote(response.headers["docs"]) + chatbot[-1][1] += "\n\n **Reference:** \n" + docs_decoded_string.replace( + "+++", "\n" + ) yield chatbot else: current_session_id = response["session_id"] From 98384d20abdf976760f57bf35837abd1dfccdd3e Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 22 Jul 2024 11:21:00 +0800 Subject: [PATCH 47/69] Fix bidi version (#119) * Add fix version * Update poetry.lock --- poetry.lock | 1895 ++++++++++++++++++++++---------------------- pyproject.toml | 1 + pyproject_gpu.toml | 1 + 3 files changed, 948 insertions(+), 949 deletions(-) diff --git a/poetry.lock b/poetry.lock index 6012907e..8445f6bc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,18 +2,18 @@ [[package]] name = "accelerate" -version = "0.31.0" +version = "0.32.1" description = "Accelerate" optional = false python-versions = ">=3.8.0" files = [ - {file = "accelerate-0.31.0-py3-none-any.whl", hash = "sha256:0fc608dc49584f64d04711a39711d73cb0ad4ef3d21cddee7ef2216e29471144"}, - {file = "accelerate-0.31.0.tar.gz", hash = "sha256:b5199865b26106ccf9205acacbe8e4b3b428ad585e7c472d6a46f6fb75b6c176"}, + {file = "accelerate-0.32.1-py3-none-any.whl", hash = "sha256:71fcf4be00872194071de561634268b71417d7f5b16b178e2fa76b6f117c52b0"}, + {file = "accelerate-0.32.1.tar.gz", hash = "sha256:3999acff0237cd0d4f9fd98b42d5a3163544777b53fc4f1eec886b77e992d177"}, ] [package.dependencies] huggingface-hub = "*" -numpy = ">=1.17" +numpy = ">=1.17,<2.0.0" packaging = ">=20.0" psutil = "*" pyyaml = "*" @@ -193,13 +193,13 @@ alibabacloud_credentials = 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"parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.1.5)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] +testing = ["GitPython (<3.1.19)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk", "parameterized", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.4.4)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"] tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] -tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<2.16)", "tensorflow-text (<2.16)", "tf2onnx"] +tf-cpu = ["keras (>2.9,<2.16)", "keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>2.9,<2.16)", "tensorflow-probability (<0.24)", "tensorflow-text (<2.16)", "tf2onnx"] tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"] -timm = ["timm"] +timm = ["timm (<=0.9.16)"] tokenizers = ["tokenizers (>=0.19,<0.20)"] torch = ["accelerate (>=0.21.0)", "torch"] torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"] torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"] -torchhub = ["filelock", "huggingface-hub (>=0.23.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] +torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17,<2.0)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.19,<0.20)", "torch", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -7864,19 +7860,20 @@ files = [ [[package]] name = "urllib3" -version = "1.26.19" +version = "2.2.2" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" +python-versions = ">=3.8" files = [ - {file = "urllib3-1.26.19-py2.py3-none-any.whl", hash = "sha256:37a0344459b199fce0e80b0d3569837ec6b6937435c5244e7fd73fa6006830f3"}, - {file = "urllib3-1.26.19.tar.gz", hash = "sha256:3e3d753a8618b86d7de333b4223005f68720bcd6a7d2bcb9fbd2229ec7c1e429"}, + {file = "urllib3-2.2.2-py3-none-any.whl", hash = "sha256:a448b2f64d686155468037e1ace9f2d2199776e17f0a46610480d311f73e3472"}, + {file = "urllib3-2.2.2.tar.gz", hash = "sha256:dd505485549a7a552833da5e6063639d0d177c04f23bc3864e41e5dc5f612168"}, ] [package.extras] -brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"] -secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] -socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +h2 = ["h2 (>=4,<5)"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] [[package]] name = "uuid" @@ -8561,4 +8558,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "94fc81a2563b67c4f1b7cdf55840c21d93c389bc9c8c13bf54da0091c493fe7f" +content-hash = "b9565237c801f9838ea6e340c22709d1ce700845d1e5a374f27bd6c6ea9dceb8" diff --git a/pyproject.toml b/pyproject.toml index a1731e4b..8441c5da 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -56,6 +56,7 @@ torchvision = [ openpyxl = "^3.1.2" pdf2image = "^1.17.0" llama-index-storage-chat-store-redis = "^0.1.3" +python-bidi = "0.4.2" easyocr = "^1.7.1" opencv-python = "^4.9.0.80" llama-parse = "0.4.2" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index 7a9b947e..8d045cb6 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -48,6 +48,7 @@ torchvision = "0.17.2" openpyxl = "^3.1.2" pdf2image = "^1.17.0" llama-index-storage-chat-store-redis = "^0.1.3" +python-bidi = "0.4.2" easyocr = "^1.7.1" opencv-python = "^4.9.0.80" llama-parse = "0.4.2" From 101e4368a38abf8ae027736372df253f725cef60 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 22 Jul 2024 12:59:49 +0800 Subject: [PATCH 48/69] Update streaming response to body field use server sent events (#120) * Fix streaming * Fix llm and vector query * Address comment * Remove extra print --- src/pai_rag/app/api/query.py | 23 ++----- src/pai_rag/app/web/rag_client.py | 99 +++++++++++++++++++--------- src/pai_rag/app/web/tabs/chat_tab.py | 37 ++--------- src/pai_rag/core/rag_application.py | 69 ++++++++++--------- 4 files changed, 119 insertions(+), 109 deletions(-) diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index 32c5400f..b791ad80 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -12,33 +12,19 @@ LlmResponse, ) from fastapi.responses import StreamingResponse -import urllib.parse router = APIRouter() -async def event_generator_async(response): - delimiter = "\0" - async for token in response.async_response_gen(): - yield token + delimiter - - @router.post("/query") async def aquery(query: RagQuery): response = await rag_service.aquery(query) if not query.stream: return response else: - images_escaped_string = urllib.parse.quote(response[2]) - docs_escaped_string = urllib.parse.quote(response[3]) return StreamingResponse( - event_generator_async(response[0]), - headers={ - "x-session-id": response[1], - "images": images_escaped_string, - "docs": docs_escaped_string, - }, - media_type="text/plain", + response, + media_type="text/event-stream", ) @@ -49,9 +35,8 @@ async def aquery_llm(query: LlmQuery): return response else: return StreamingResponse( - event_generator_async(response[0]), - headers={"x-session-id": response[1]}, - media_type="text/plain", + response, + media_type="text/event-stream", ) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 54a19cd7..177cab42 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -71,6 +71,49 @@ def get_evaluate_retrieval_url(self): def get_evaluate_response_url(self): return f"{self.endpoint}service/evaluate/response" + def _format_rag_response( + self, response, session_id: str = None, stream: bool = False + ): + if stream: + text = response["delta"] + else: + text = response["answer"] + + docs = response.get("docs", []) + is_finished = response.get("is_finished", True) + + referenced_docs = "" + images = "" + + # 空结果，TODO: 适配score_threshold的场景 + if is_finished and len(docs) == 0 and not text: + response["result"] = EMPTY_KNOWLEDGEBASE_MESSAGE + return response + elif is_finished: + for i, doc in enumerate(docs): + formatted_file_name = re.sub( + "^[0-9a-z]{32}_", "", doc["metadata"]["file_name"] + ) + referenced_docs += ( + f'[{i+1}]: {formatted_file_name} Score:{doc["score"]} \n' + ) + image_url = doc["metadata"].get("image_url", None) + if image_url: + images += f"""""" + + formatted_answer = "" + if session_id: + new_query = response["new_query"] + formatted_answer += f"**Query Transformation**: {new_query} \n\n" + formatted_answer += f"**Answer**: {text} \n\n" + if images: + formatted_answer += f"{images} \n\n" + if referenced_docs: + formatted_answer += f"**Reference**:\n {referenced_docs}" + + response["result"] = formatted_answer + return response + def query(self, text: str, session_id: str = None, stream: bool = False): q = dict(question=text, session_id=session_id, stream=stream) r = requests.post(self.query_url, json=q, stream=True) @@ -78,31 +121,18 @@ def query(self, text: str, session_id: str = None, stream: bool = False): raise RagApiError(code=r.status_code, msg=r.text) if not stream: response = dotdict(json.loads(r.text)) - if r.status_code != HTTPStatus.OK: - raise RagApiError(code=r.status_code, msg=response.message) - - if len(response["docs"]) == 0: - response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE - else: - referenced_docs = "" - images = "" - for i, doc in enumerate(response["docs"]): - formatted_file_name = re.sub( - "^[0-9a-z]{32}_", "", doc["metadata"]["file_name"] - ) - referenced_docs += ( - f'[{i+1}]: {formatted_file_name} Score:{doc["score"]} \n' - ) - image_url = doc["metadata"].get("image_url", None) - if image_url: - images += f"""""" - if session_id: - formatted_text = f'**Query Transformation**: {response["new_query"]} \n\n **Answer**: {response["answer"]} \n\n {images} \n\n **Reference**:\n {referenced_docs}' - else: - formatted_text = f'**Answer**: {response["answer"]} \n\n {images} \n\n **Reference**:\n {referenced_docs}' - response["answer"] = formatted_text - return response - return r + yield self._format_rag_response( + response, session_id=session_id, stream=stream + ) + else: + full_content = "" + for chunk in r.iter_lines(chunk_size=8192, decode_unicode=True): + chunk_response = dotdict(json.loads(chunk)) + full_content += chunk_response.delta + chunk_response.delta = full_content + yield self._format_rag_response( + chunk_response, session_id=session_id, stream=stream + ) def query_llm( self, @@ -125,9 +155,18 @@ def query_llm( raise RagApiError(code=r.status_code, msg=r.text) if not stream: response = dotdict(json.loads(r.text)) - return response + yield self._format_rag_response( + response, session_id=session_id, stream=stream + ) else: - return r + full_content = "" + for chunk in r.iter_lines(chunk_size=8192, decode_unicode=True): + chunk_response = dotdict(json.loads(chunk)) + full_content += chunk_response.delta + chunk_response.delta = full_content + yield self._format_rag_response( + chunk_response, session_id=session_id, stream=stream + ) def query_vector(self, text: str): q = dict(question=text) @@ -140,7 +179,7 @@ def query_vector(self, text: str): "DocumentScoreTextMedia\n" ) if len(response["docs"]) == 0: - response["answer"] = EMPTY_KNOWLEDGEBASE_MESSAGE + response["result"] = EMPTY_KNOWLEDGEBASE_MESSAGE else: for i, doc in enumerate(response["docs"]): html_content = markdown.markdown(doc["text"]) @@ -154,8 +193,8 @@ def query_vector(self, text: str): formatted_text = ( "\n\n" + formatted_text + "\n
          " ) - response["answer"] = formatted_text - return response + response["result"] = formatted_text + yield response def add_knowledge(self, input_files: str, enable_qa_extraction: bool): files = [] diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index 48f90f41..a2437245 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -7,8 +7,6 @@ EXTRACT_URL_PROMPTS, ACCURATE_CONTENT_PROMPTS, ) -import time -import urllib.parse current_session_id = None @@ -49,44 +47,23 @@ def respond(input_elements: List[Any]): try: if query_type == "LLM": - response = rag_client.query_llm( + response_gen = rag_client.query_llm( msg, session_id=current_session_id, stream=is_streaming ) elif query_type == "Retrieval": - response = rag_client.query_vector(msg) + response_gen = rag_client.query_vector(msg) else: - response = rag_client.query( + response_gen = rag_client.query( msg, session_id=current_session_id, stream=is_streaming ) except RagApiError as api_error: raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") - if query_type == "Retrieval": - chatbot.append((msg, response.answer)) - yield chatbot - elif is_streaming: - current_session_id = response.headers["x-session-id"] - chatbot.append([msg, None]) - chatbot[-1][1] = "" - for chunk in response.iter_lines( - chunk_size=8192, decode_unicode=False, delimiter=b"\0" - ): - if chunk: - chatbot[-1][1] += chunk.decode("utf-8") - yield chatbot - time.sleep(0.1) - if query_type != "LLM": - images_decoded_string = urllib.parse.unquote(response.headers["images"]) - chatbot[-1][1] += f"\n\n{images_decoded_string}" - docs_decoded_string = urllib.parse.unquote(response.headers["docs"]) - chatbot[-1][1] += "\n\n **Reference:** \n" + docs_decoded_string.replace( - "+++", "\n" - ) - yield chatbot - else: - current_session_id = response["session_id"] - chatbot.append((msg, response["answer"])) + content = "" + chatbot.append((msg, content)) + for resp in response_gen: + chatbot[-1] = (msg, resp.result) yield chatbot diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 153ff20a..479b234e 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -9,15 +9,34 @@ RetrievalResponse, ) from llama_index.core.schema import QueryBundle +import json import logging from uuid import uuid4 -import re + +DEFAULT_EMPTY_RESPONSE_GEN = "Empty Response" def uuid_generator() -> str: return uuid4().hex +async def event_generator_async(response, extra_info=None): + content = "" + async for token in response.async_response_gen(): + if token and token != DEFAULT_EMPTY_RESPONSE_GEN: + chunk = {"delta": token, "is_finished": False} + content += token + yield json.dumps(chunk) + "\n" + + if extra_info: + # 返回 + last_chunk = {"delta": "", "is_finished": True, **extra_info} + else: + last_chunk = {"delta": "", "is_finished": True} + + yield json.dumps(last_chunk, default=lambda x: x.dict()) + + class RagApplication: def __init__(self): self.name = "RagApplication" @@ -114,37 +133,27 @@ async def aquery(self, query: RagQuery): response = await query_chat_engine.astream_chat(query.question) node_results = response.sources[0].raw_output.source_nodes - if not query.stream: - reference_docs = [ - ContextDoc( - text=score_node.node.get_content(), - metadata=score_node.node.metadata, - score=score_node.score, - ) - for score_node in node_results - ] - new_query = response.sources[0].raw_input["query"] - return RagResponse( - answer=response.response, - session_id=session_id, - docs=reference_docs, - new_query=new_query, + new_query = response.sources[0].raw_input["query"] + + reference_docs = [ + ContextDoc( + text=score_node.node.get_content(), + metadata=score_node.node.metadata, + score=score_node.score, ) - else: - reference_image_text = "" - referenced_docs_text = "" - for i, node in enumerate(node_results): - image_url = node.node.metadata.get("image_url", "") - if image_url: - reference_image_text += f"""""" + for score_node in node_results + ] - file_name = node.node.metadata.get("file_name") - formatted_file_name = re.sub("^[0-9a-z]{32}_", "", file_name) - referenced_docs_text += ( - f"[{i+1}]: {formatted_file_name} Score:{node.score} +++" - ) + result_info = { + "session_id": session_id, + "docs": reference_docs, + "new_query": new_query, + } - return [response, session_id, reference_image_text, referenced_docs_text] + if not query.stream: + return RagResponse(answer=response.response, **result_info) + else: + return event_generator_async(response=response, extra_info=result_info) async def aquery_llm(self, query: LlmQuery): """Query answer from LLM response asynchronously. @@ -176,7 +185,7 @@ async def aquery_llm(self, query: LlmQuery): return LlmResponse(answer=response.response, session_id=session_id) else: response = await llm_chat_engine.astream_chat(query.question) - return [response, session_id] + return event_generator_async(response=response) async def aquery_agent(self, query: LlmQuery) -> LlmResponse: """Query answer from RAG App via web search asynchronously. From e75bef2d15cacc5827ed5007c4e5a001b2f27b69 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Mon, 22 Jul 2024 16:58:36 +0800 Subject: [PATCH 49/69] Support simple-weighted-reranker and similarity-threshold (#116) * Support nomalized cosine_sim score for different vectorDB * Support simple-weighted-reranker and similarity-threshold * [Todo] Support ES hybrid search * Support Milvus * fix path * fix open dataset * Fix url for du-retrieval dataset * Restore setting * Fix reviews * Apply node_id for weighted_reranker --- src/pai_rag/app/web/tabs/chat_tab.py | 133 +++++- src/pai_rag/app/web/view_model.py | 78 ++-- src/pai_rag/config/settings.toml | 9 +- src/pai_rag/data/open_dataset.py | 103 ++++- src/pai_rag/data/rag_dataloader.py | 46 +- src/pai_rag/data/rag_datapipeline.py | 6 +- src/pai_rag/evaluation/eval_pipeline.py | 2 +- .../evaluation/retrieval/evaluator.py | 121 ++++++ .../postprocessor/my_llm_rerank.py | 0 .../postprocessor/my_model_based_reranker.py | 116 +++++ .../my_simple_weighted_rerank.py | 123 ++++++ .../retrievers/fusion_retriever.py | 410 ++++++++++++++++++ .../vector_stores/analyticdb/my_analyticdb.py | 92 ++++ .../elasticsearch}/my_async_vector_store.py | 1 - .../elasticsearch/my_elasticsearch.py} | 36 +- .../vector_stores/faiss/my_faiss.py | 81 ++++ .../hologres.py | 5 +- .../vector_stores/milvus/my_milvus.py} | 10 +- .../modules/evaluation/batch_eval_runner.py | 112 ++++- .../modules/evaluation/pai_evaluator.py | 31 +- .../evaluation/ragdataset_generator.py | 28 +- src/pai_rag/modules/index/index.py | 11 +- .../modules/index/my_vector_store_index.py | 1 - src/pai_rag/modules/index/pai_bm25_index.py | 17 +- src/pai_rag/modules/index/store.py | 48 +- .../modules/postprocessor/postprocessor.py | 77 ++-- .../queryengine/my_retriever_query_engine.py | 1 - .../retriever/my_vector_index_retriever.py | 16 +- src/pai_rag/modules/retriever/retriever.py | 69 +-- src/pai_rag/utils/score_utils.py | 2 + tests/core/test_rag_application.py | 6 +- tests/modules/retriever/test_es_tokenizer.py | 4 +- 32 files changed, 1583 insertions(+), 212 deletions(-) create mode 100644 src/pai_rag/integrations/evaluation/retrieval/evaluator.py rename src/pai_rag/{modules => integrations}/postprocessor/my_llm_rerank.py (100%) create mode 100644 src/pai_rag/integrations/postprocessor/my_model_based_reranker.py create mode 100644 src/pai_rag/integrations/postprocessor/my_simple_weighted_rerank.py create mode 100644 src/pai_rag/integrations/retrievers/fusion_retriever.py create mode 100644 src/pai_rag/integrations/vector_stores/analyticdb/my_analyticdb.py rename src/pai_rag/{modules/retriever => integrations/vector_stores/elasticsearch}/my_async_vector_store.py (99%) rename src/pai_rag/{modules/retriever/my_elasticsearch_store.py => integrations/vector_stores/elasticsearch/my_elasticsearch.py} (94%) create mode 100644 src/pai_rag/integrations/vector_stores/faiss/my_faiss.py rename src/pai_rag/integrations/vector_stores/{vector_stores_hologres => hologres}/hologres.py (96%) rename src/pai_rag/{modules/index/my_milvus_vector_store.py => integrations/vector_stores/milvus/my_milvus.py} (98%) create mode 100644 src/pai_rag/utils/score_utils.py diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index a2437245..594b1930 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -86,37 +86,120 @@ def create_chat_tab() -> Dict[str, Any]: vec_model_argument = gr.Accordion( "Parameters of Vector Retrieval", open=False ) - with vec_model_argument: - similarity_top_k = gr.Slider( - minimum=0, - maximum=100, - step=1, - elem_id="similarity_top_k", - label="Top K (choose between 0 and 100)", - ) - # similarity_cutoff = gr.Slider(minimum=0, maximum=1, step=0.01,elem_id="similarity_cutoff",value=view_model.similarity_cutoff, label="Similarity Distance Threshold (The more similar the vectors, the smaller the value.)") - rerank_model = gr.Radio( - [ - "no-reranker", - "bge-reranker-base", - "bge-reranker-large", - "llm-reranker", - ], - label="Re-Rank Model (Note: It will take a long time to load the model when using it for the first time.)", - elem_id="rerank_model", - ) retrieval_mode = gr.Radio( ["Embedding Only", "Keyword Only", "Hybrid"], label="Retrieval Mode", elem_id="retrieval_mode", ) + + reranker_type = gr.Radio( + ["simple-weighted-reranker", "model-based-reranker"], + label="Reranker Type", + elem_id="reranker_type", + ) + + with gr.Column( + visible=(reranker_type == "simple-weighted-reranker") + ) as simple_reranker_col: + vector_weight = gr.Slider( + minimum=0, + maximum=1, + value=0.7, + elem_id="vector_weight", + label="Weight of embedding retrieval results", + ) + keyword_weight = gr.Slider( + minimum=0, + maximum=1, + value=float(1 - vector_weight.value), + elem_id="keyword_weight", + label="Weight of keyword retrieval results", + interactive=False, + ) + + with gr.Column( + visible=(reranker_type == "model-based-reranker") + ) as model_reranker_col: + reranker_model = gr.Radio( + [ + "bge-reranker-base", + "bge-reranker-large", + ], + label="Re-Ranker Model (Note: It will take a long time to load the model when using it for the first time.)", + elem_id="reranker_model", + ) + + with gr.Column(): + similarity_top_k = gr.Slider( + minimum=0, + maximum=100, + step=1, + elem_id="similarity_top_k", + label="Top K (choose between 0 and 100)", + ) + similarity_threshold = gr.Slider( + minimum=0, + maximum=1, + step=0.01, + elem_id="similarity_threshold", + label="Similarity Score Threshold (The more similar the items, the bigger the value.)", + ) + + def change_weight(change_weight): + return round(float(1 - change_weight), 2) + + vector_weight.change( + fn=change_weight, + inputs=vector_weight, + outputs=[keyword_weight], + ) + + def change_reranker_type(reranker_type): + if reranker_type == "simple-weighted-reranker": + return { + simple_reranker_col: gr.update(visible=True), + model_reranker_col: gr.update(visible=False), + } + elif reranker_type == "model-based-reranker": + return { + simple_reranker_col: gr.update(visible=False), + model_reranker_col: gr.update(visible=True), + } + else: + return { + simple_reranker_col: gr.update(visible=False), + model_reranker_col: gr.update(visible=False), + } + + def change_retrieval_mode(retrieval_mode): + if retrieval_mode == "Hybrid": + return {simple_reranker_col: gr.update(visible=True)} + else: + return {simple_reranker_col: gr.update(visible=False)} + + reranker_type.change( + fn=change_reranker_type, + inputs=reranker_type, + outputs=[simple_reranker_col, model_reranker_col], + ) + + retrieval_mode.change( + fn=change_retrieval_mode, + inputs=retrieval_mode, + outputs=[simple_reranker_col], + ) + vec_args = { - similarity_top_k, - # similarity_cutoff, - rerank_model, retrieval_mode, + reranker_type, + vector_weight, + keyword_weight, + similarity_top_k, + similarity_threshold, + reranker_model, } + with gr.Column(visible=True) as llm_col: model_argument = gr.Accordion("Inference Parameters of LLM", open=False) with model_argument: @@ -268,8 +351,12 @@ def change_query_radio(query_type): clearBtn.click(clear_history, [chatbot], [chatbot, cur_tokens]) return { similarity_top_k.elem_id: similarity_top_k, - rerank_model.elem_id: rerank_model, retrieval_mode.elem_id: retrieval_mode, + reranker_type.elem_id: reranker_type, + reranker_model.elem_id: reranker_model, + vector_weight.elem_id: vector_weight, + keyword_weight.elem_id: keyword_weight, + similarity_threshold.elem_id: similarity_threshold, prm_type.elem_id: prm_type, text_qa_template.elem_id: text_qa_template, } diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index 47a1847d..4a668ea7 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -93,16 +93,22 @@ class ViewModel(BaseModel): milvus_database: str = "pairag" milvus_collection_name: str = "pairagcollection" + # retriever similarity_top_k: int = 5 - # similarity_cutoff: float = 0.3 - rerank_model: str = "no-reranker" retrieval_mode: str = "hybrid" # hybrid / embedding / keyword - query_engine_type: str = "RetrieverQueryEngine" - BM25_weight: float = 0.5 - vector_weight: float = 0.5 - fusion_mode: str = "reciprocal_rerank" # [simple, reciprocal_rerank, dist_based_score, relative_score] query_rewrite_n: int = 1 + # postprocessor + reranker_type: str = ( + "simple-weighted-reranker" # simple-weighted-reranker / model-based-reranker + ) + reranker_model: str = "bge-reranker-base" # bge-reranker-base / bge-reranker-large + keyword_weight: float = 0.3 + vector_weight: float = 0.7 + similarity_threshold: float = None + + query_engine_type: str = "RetrieverQueryEngine" + synthesizer_type: str = None text_qa_template: str = None @@ -207,27 +213,32 @@ def from_app_config(config): view_model.similarity_top_k = config["retriever"].get("similarity_top_k", 5) if config["retriever"]["retrieval_mode"] == "hybrid": view_model.retrieval_mode = "Hybrid" - view_model.BM25_weight = config["retriever"]["BM25_weight"] - view_model.vector_weight = config["retriever"]["vector_weight"] - view_model.fusion_mode = config["retriever"]["fusion_mode"] view_model.query_rewrite_n = config["retriever"]["query_rewrite_n"] elif config["retriever"]["retrieval_mode"] == "embedding": view_model.retrieval_mode = "Embedding Only" elif config["retriever"]["retrieval_mode"] == "keyword": view_model.retrieval_mode = "Keyword Only" - # if "Similarity" in config["postprocessor"]: - # view_model.similarity_cutoff = config["postprocessor"].get("similarity_cutoff", 0.1) + reranker_type = config["postprocessor"].get( + "reranker_type", "simple-weighted-reranker" + ) + similarity_threshold = config["postprocessor"].get("similarity_threshold", None) + view_model.similarity_threshold = ( + similarity_threshold if similarity_threshold > 0 else None + ) - rerank_model = config["postprocessor"].get("rerank_model", "no-reranker") - if rerank_model == "llm-reranker": - view_model.rerank_model = "llm-reranker" - elif rerank_model == "bge-reranker-base": - view_model.rerank_model = "bge-reranker-base" - elif rerank_model == "bge-reranker-large": - view_model.rerank_model = "bge-reranker-large" - else: - view_model.rerank_model = "no-reranker" + if reranker_type == "simple-weighted-reranker": + view_model.reranker_type = "simple-weighted-reranker" + vector_weight = config["postprocessor"].get("vector_weight", 0.7) + view_model.vector_weight = float(vector_weight) + keyword_weight = config["postprocessor"].get("keyword_weight", 0.3) + view_model.keyword_weight = float(keyword_weight) + + elif reranker_type == "model-based-reranker": + view_model.reranker_type = "model-based-reranker" + view_model.reranker_model = config["postprocessor"].get( + "reranker_model", "bge-reranker-base" + ) view_model.synthesizer_type = config["synthesizer"].get( "type", "SimpleSummarize" @@ -316,24 +327,17 @@ def to_app_config(self): config["retriever"]["similarity_top_k"] = self.similarity_top_k if self.retrieval_mode == "Hybrid": config["retriever"]["retrieval_mode"] = "hybrid" - config["retriever"]["vector_weight"] = self.vector_weight - config["retriever"]["BM25_weight"] = self.BM25_weight - config["retriever"]["fusion_mode"] = self.fusion_mode config["retriever"]["query_rewrite_n"] = self.query_rewrite_n elif self.retrieval_mode == "Embedding Only": config["retriever"]["retrieval_mode"] = "embedding" elif self.retrieval_mode == "Keyword Only": config["retriever"]["retrieval_mode"] = "keyword" - # config["postprocessor"]["similarity_cutoff"] = self.similarity_cutoff - if self.rerank_model == "llm-reranker": - config["postprocessor"]["rerank_model"] = "llm-reranker" - elif self.rerank_model == "bge-reranker-base": - config["postprocessor"]["rerank_model"] = "bge-reranker-base" - elif self.rerank_model == "bge-reranker-large": - config["postprocessor"]["rerank_model"] = "bge-reranker-large" - else: - config["postprocessor"]["rerank_model"] = "no-reranker" + config["postprocessor"]["reranker_type"] = self.reranker_type + config["postprocessor"]["reranker_model"] = self.reranker_model + config["postprocessor"]["keyword_weight"] = self.keyword_weight + config["postprocessor"]["vector_weight"] = self.vector_weight + config["postprocessor"]["similarity_threshold"] = self.similarity_threshold config["postprocessor"]["top_n"] = self.similarity_top_k config["synthesizer"]["type"] = self.synthesizer_type @@ -440,9 +444,15 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["chunk_size"] = {"value": self.chunk_size} settings["chunk_overlap"] = {"value": self.chunk_overlap} settings["enable_qa_extraction"] = {"value": self.enable_qa_extraction} - settings["similarity_top_k"] = {"value": self.similarity_top_k} - settings["rerank_model"] = {"value": self.rerank_model} + + # retrieval and rerank settings["retrieval_mode"] = {"value": self.retrieval_mode} + settings["reranker_type"] = {"value": self.reranker_type} + settings["similarity_top_k"] = {"value": self.similarity_top_k} + settings["reranker_model"] = {"value": self.reranker_model} + settings["vector_weight"] = {"value": self.vector_weight} + settings["keyword_weight"] = {"value": self.keyword_weight} + settings["similarity_threshold"] = {"value": self.similarity_threshold} prm_type = PROMPT_MAP.get(self.text_qa_template, "Custom") settings["prm_type"] = {"value": prm_type} diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml index 4d5f6996..405f45f0 100644 --- a/src/pai_rag/config/settings.toml +++ b/src/pai_rag/config/settings.toml @@ -59,7 +59,11 @@ chunk_size = 500 chunk_overlap = 10 [rag.postprocessor] -rerank_model = "no-reranker" # [no-reranker, bge-reranker-base, bge-reranker-large, llm-reranker] +reranker_type = "simple-weighted-reranker" # [simple-weighted-reranker, model-based-reranker] +reranker_model = "bge-reranker-base" # [bge-reranker-base, bge-reranker-large] +keyword_weight = 0.3 +vector_weight = 0.7 +similarity_threshold = 0.5 top_n = 2 [rag.query_engine] @@ -68,9 +72,6 @@ type = "RetrieverQueryEngine" [rag.retriever] similarity_top_k = 3 retrieval_mode = "hybrid" # [hybrid, embedding, keyword, router] -BM25_weight = 0.5 -vector_weight = 0.5 -fusion_mode = "reciprocal_rerank" # [simple, reciprocal_rerank, dist_based_score, relative_score] query_rewrite_n = 1 # set to 1 to disable query generation [rag.synthesizer] diff --git a/src/pai_rag/data/open_dataset.py b/src/pai_rag/data/open_dataset.py index 996967d0..f9b3c0b4 100644 --- a/src/pai_rag/data/open_dataset.py +++ b/src/pai_rag/data/open_dataset.py @@ -5,6 +5,7 @@ import json import urllib.request import tarfile +from datasets import load_dataset DEFAULT_DATASET_DIR = "datasets" @@ -17,13 +18,6 @@ def load_qrels(self, type: str): """ pass - @abstractmethod - def load_topic(self, type: str): - """加载主题文件 - :param type: 要加载的数据集的类型 [train, dev, test] - """ - pass - @abstractmethod def load_related_corpus(self): """加载语料库相关文件""" @@ -163,15 +157,92 @@ def load_related_corpus_for_type(self, type: str): return nodes, docid2doc -class DureaderDataSet(OpenDataSet): - def load_qrels(self, type: str): - # DureaderDataSet 的 load_qrels 实现 - print("Loading qrels for DureaderDataSet...") +class DuRetrievalDataSet(OpenDataSet): + def __init__(self, dataset_path: str = None, corpus_path: str = None): + self.dataset_path = dataset_path or os.path.join( + DEFAULT_DATASET_DIR, "DuRetrieval-qrels" + ) + self.corpus_path = corpus_path or os.path.join( + DEFAULT_DATASET_DIR, "DuRetrieval" + ) + if not os.path.exists(self.dataset_path): + dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/DuRetrieval-qrels.tar.gz" + file_path = os.path.join(DEFAULT_DATASET_DIR, "DuRetrieval-qrels.tar.gz") + self._extract_and_download_dataset( + dataset_url, file_path, self.dataset_path + ) + else: + print( + f"[DuRetrievalDataSet] Dataset file already exists at {self.dataset_path}." + ) + if not os.path.exists(self.corpus_path): + dataset_url = "https://pai-rag.oss-cn-hangzhou.aliyuncs.com/huggingface/datasets/DuRetrieval.tar.gz" + file_path = os.path.join(DEFAULT_DATASET_DIR, "DuRetrieval.tar.gz") + self._extract_and_download_dataset(dataset_url, file_path, self.corpus_path) + else: + print( + f"[DuRetrievalDataSet] Corpus file already exists at {self.corpus_path}." + ) - def load_topic(self, type: str): - # DureaderDataSet 的 load_topic 实现 - print("Loading topic for DureaderDataSet...") + def _extract_and_download_dataset(self, url, file_path, extract_path): + file_path_dir = os.path.dirname(file_path) + if not os.path.exists(file_path_dir): + os.makedirs(file_path_dir) + with urllib.request.urlopen(url) as response, open(file_path, "wb") as out_file: + print( + f"[DuRetrievalDataSet] Start downloading file {file_path} from {url}." + ) + data = response.read() + out_file.write(data) + print("[DuRetrievalDataSet] Finish downloading.") + if not os.path.exists(extract_path): + os.makedirs(extract_path) + with tarfile.open(file_path, "r:gz") as tar: + print( + f"[DuRetrievalDataSet] Start extracting file {file_path} to {extract_path}." + ) + tar.extractall(path=extract_path) + print("[DuRetrievalDataSet] Finish extracting.") + + def load_qrels(self, type: str = "dev"): + print( + f"[DuRetrievalDataSet] Loading qrels for DuRetrievalDataSet with type {type} from {self.dataset_path}..." + ) + qrels_path = f"{self.dataset_path}/DuRetrieval-qrels" + qrels_ori = load_dataset(qrels_path) + qrels = defaultdict(dict) + for sample in qrels_ori[type]: + qid = sample["qid"] + docid = sample["pid"] + rel = sample["score"] + qrels[qid][docid] = int(rel) + print(f"[DuRetrievalDataSet] Loaded qrels {len(qrels)} with type {type}") + return qrels def load_related_corpus(self): - # DureaderDataSet 的 load_related_corpus 实现 - print("Loading related docs for dev for DureaderDataSet...") + corpus_path = f"{self.corpus_path}/DuRetrieval" + docid2doc = {} + qid2query = {} + nodes = set() + du_dataset = load_dataset(corpus_path) + for sample in du_dataset["corpus"]: + nodes.add( + ( + sample["id"], + sample["text"], + self.corpus_path, + ) + ) + docid2doc[sample["id"]] = sample["text"] + print( + f"[DuRetrievalDataSet] Loaded nodes {len(nodes)} from file_path {self.corpus_path}" + ) + + for sample in du_dataset["queries"]: + qid2query[sample["id"]] = sample["text"] + print( + f"[DuRetrievalDataSet] Loaded queries {len(nodes)} from file_path {self.corpus_path}" + ) + + print(f"[DuRetrievalDataSet] Loaded all nodes {len(nodes)}") + return nodes, docid2doc, qid2query diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index dbe0e109..bca5ec4c 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -11,7 +11,7 @@ from pai_rag.integrations.extractors.html_qa_extractor import HtmlQAExtractor from pai_rag.integrations.extractors.text_qa_extractor import TextQAExtractor from pai_rag.modules.nodeparser.node_parser import node_id_hash -from pai_rag.data.open_dataset import MiraclOpenDataSet +from pai_rag.data.open_dataset import MiraclOpenDataSet, DuRetrievalDataSet import logging @@ -97,7 +97,7 @@ def _get_nodes( doc_cnt_map = {} for doc in docs: doc_type = self._extract_file_type(doc.metadata) - + doc.metadata["file_path"] = os.path.basename(doc.metadata["file_path"])[33:] if doc_type in DOC_TYPES_DO_NOT_NEED_CHUNKING: doc_key = f"""{doc.metadata.get("file_path", "dummy")}""" if doc_key not in doc_cnt_map: @@ -184,7 +184,6 @@ async def aload( return logger.info("[DataReader] Start inserting to index.") - await self.index.vector_index.insert_nodes_async(nodes) self.index.vector_index.storage_context.persist( persist_dir=self.index.persist_path @@ -200,7 +199,7 @@ async def aload( logger.info(f"Inserted {len(nodes)} nodes successfully.") return - async def aload_eval_data(self, name: str): + def load_eval_data(self, name: str): logger.info("[DataReader-Evaluation Dataset]") if name == "miracl": miracl_dataset = MiraclOpenDataSet() @@ -220,7 +219,42 @@ async def aload_eval_data(self, name: str): print("[DataReader-Evaluation Dataset] Start inserting to index.") - await self.index.vector_index.insert_nodes_async(nodes) + self.index.vector_index.insert_nodes(nodes) + self.index.vector_index.storage_context.persist( + persist_dir=self.index.persist_path + ) + + index_metadata_file = os.path.join( + self.index.persist_path, "index.metadata" + ) + if self.bm25_index: + self.bm25_index.add_docs(nodes) + metadata_str = json.dumps({"lastUpdated": f"{datetime.datetime.now()}"}) + with open(index_metadata_file, "w") as wf: + wf.write(metadata_str) + + print( + f"[DataReader-Evaluation Dataset] Inserted {len(nodes)} nodes successfully." + ) + return + elif name == "duretrieval": + duretrieval_dataset = DuRetrievalDataSet() + miracl_nodes, _, _ = duretrieval_dataset.load_related_corpus() + nodes = [] + for node in miracl_nodes: + node_metadata = { + "file_path": node[2], + "file_name": node[2], + } + nodes.append( + TextNode(id_=node[0], text=node[1], metadata=node_metadata) + ) + + print(f"[DataReader-Evaluation Dataset] Split into {len(nodes)} nodes.") + + print("[DataReader-Evaluation Dataset] Start inserting to index.") + + self.index.vector_index.insert_nodes(nodes) self.index.vector_index.storage_context.persist( persist_dir=self.index.persist_path ) @@ -229,7 +263,7 @@ async def aload_eval_data(self, name: str): self.index.persist_path, "index.metadata" ) if self.bm25_index: - await run_in_threadpool(lambda: self.bm25_index.add_docs(nodes)) + self.bm25_index.add_docs(nodes) metadata_str = json.dumps({"lastUpdated": f"{datetime.datetime.now()}"}) with open(index_metadata_file, "w") as wf: wf.write(metadata_str) diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 704fb88d..69d1f2e3 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -36,7 +36,7 @@ async def ingest_from_input_path( input_paths = [file.strip() for file in input_path.split(",")] self.data_loader.load(input_paths, pattern, enable_qa_extraction) else: - await self.data_loader.aload_eval_data(name) + self.data_loader.load_eval_data(name) def __init_data_pipeline(config_file, use_local_qa_model): @@ -58,7 +58,7 @@ def __init_data_pipeline(config_file, use_local_qa_model): @click.option( "-d", "--data-path", - required=True, + required=False, default=None, help="data path (file or directory) to ingest.", ) @@ -87,7 +87,7 @@ def __init_data_pipeline(config_file, use_local_qa_model): "-n", "--name", show_default=True, - help="Open Dataset Name. Optional: [miracl]", + help="Open Dataset Name. Optional: [miracl, duretrieval]", default=None, ) def run(config, data_path, pattern, extract_qa, use_local_qa_model, name): diff --git a/src/pai_rag/evaluation/eval_pipeline.py b/src/pai_rag/evaluation/eval_pipeline.py index 778e7213..2c7b2faf 100644 --- a/src/pai_rag/evaluation/eval_pipeline.py +++ b/src/pai_rag/evaluation/eval_pipeline.py @@ -57,7 +57,7 @@ def __init_eval_pipeline(config_file): "-n", "--name", show_default=True, - help="Open Dataset Name. Optional: [miracl]", + help="Open Dataset Name. Optional: [miracl, duretrieval]", default=None, ) def run(config, overwrite, type, name): diff --git a/src/pai_rag/integrations/evaluation/retrieval/evaluator.py b/src/pai_rag/integrations/evaluation/retrieval/evaluator.py new file mode 100644 index 00000000..906b1379 --- /dev/null +++ b/src/pai_rag/integrations/evaluation/retrieval/evaluator.py @@ -0,0 +1,121 @@ +"""Retrieval evaluators.""" + +from typing import Any, Optional, List, Tuple, Dict +from llama_index.core.bridge.pydantic import BaseModel, Field +from llama_index.core.evaluation.retrieval.base import RetrievalEvalMode +from llama_index.core.evaluation import RetrieverEvaluator +from llama_index.core.evaluation.retrieval.metrics_base import ( + RetrievalMetricResult, +) + + +class MyRetrievalEvalResult(BaseModel): + """Retrieval eval result. + + NOTE: this abstraction might change in the future. + + Attributes: + query (str): Query string + expected_ids (List[str]): Expected ids + retrieved_ids (List[str]): Retrieved ids + metric_dict (Dict[str, BaseRetrievalMetric]): \ + Metric dictionary for the evaluation + + """ + + class Config: + arbitrary_types_allowed = True + + query: str = Field(..., description="Query string") + expected_ids: List[str] = Field(..., description="Expected ids") + expected_texts: Optional[List[str]] = Field( + default=None, + description="Expected texts associated with nodes provided in `expected_ids`", + ) + retrieved_ids: List[str] = Field(..., description="Retrieved ids") + retrieved_texts: List[str] = Field(..., description="Retrieved texts") + retrieved_scores: List[float] = Field(..., description="Retrieved scores") + mode: "RetrievalEvalMode" = Field( + default=RetrievalEvalMode.TEXT, description="text or image" + ) + metric_dict: Dict[str, RetrievalMetricResult] = Field( + ..., description="Metric dictionary for the evaluation" + ) + + @property + def metric_vals_dict(self) -> Dict[str, float]: + """Dictionary of metric values.""" + return {k: v.score for k, v in self.metric_dict.items()} + + def __str__(self) -> str: + """String representation.""" + return f"Query: {self.query}\n" f"Metrics: {self.metric_vals_dict!s}\n" + + +class MyRetrieverEvaluator(RetrieverEvaluator): + """Retriever evaluator. + + This module will evaluate a retriever using a set of metrics. + + Args: + metrics (List[BaseRetrievalMetric]): Sequence of metrics to evaluate + retriever: Retriever to evaluate. + node_postprocessors (Optional[List[BaseNodePostprocessor]]): Post-processor to apply after retrieval. + + + """ + + async def _aget_retrieved_ids_and_texts( + self, query: str, mode: RetrievalEvalMode = RetrievalEvalMode.TEXT + ) -> Tuple[List[str], List[str]]: + """Get retrieved ids and texts, potentially applying a post-processor.""" + retrieved_nodes = await self.retriever.aretrieve(query) + + if self.node_postprocessors: + for node_postprocessor in self.node_postprocessors: + retrieved_nodes = node_postprocessor.postprocess_nodes( + retrieved_nodes, query_str=query + ) + return ( + [node.node.node_id for node in retrieved_nodes], + [node.node.text for node in retrieved_nodes], + [node.score for node in retrieved_nodes], + ) + + # @abstractmethod + async def aevaluate( + self, + query: str, + expected_ids: List[str], + expected_texts: Optional[List[str]] = None, + mode: RetrievalEvalMode = RetrievalEvalMode.TEXT, + **kwargs: Any, + ) -> MyRetrievalEvalResult: + """Run evaluation with query string, retrieved contexts, + and generated response string. + + Subclasses can override this method to provide custom evaluation logic and + take in additional arguments. + """ + ( + retrieved_ids, + retrieved_texts, + retrieved_scores, + ) = await self._aget_retrieved_ids_and_texts(query, mode) + metric_dict = {} + for metric in self.metrics: + eval_result = metric.compute( + query, expected_ids, retrieved_ids, expected_texts, retrieved_texts + ) + metric_dict[metric.metric_name] = eval_result + + return MyRetrievalEvalResult( + query=query, + expected_ids=expected_ids, + expected_texts=expected_texts, + retrieved_ids=retrieved_ids, + retrieved_texts=retrieved_texts, + retrieved_scores=retrieved_scores, + mode=mode, + metric_dict=metric_dict, + ) diff --git a/src/pai_rag/modules/postprocessor/my_llm_rerank.py b/src/pai_rag/integrations/postprocessor/my_llm_rerank.py similarity index 100% rename from src/pai_rag/modules/postprocessor/my_llm_rerank.py rename to src/pai_rag/integrations/postprocessor/my_llm_rerank.py diff --git a/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py b/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py new file mode 100644 index 00000000..f00637ca --- /dev/null +++ b/src/pai_rag/integrations/postprocessor/my_model_based_reranker.py @@ -0,0 +1,116 @@ +from typing import Any, List, Optional + +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.callbacks import CBEventType, EventPayload +from llama_index.core.instrumentation import get_dispatcher +from llama_index.core.instrumentation.events.rerank import ( + ReRankEndEvent, + ReRankStartEvent, +) +from llama_index.core.postprocessor.types import BaseNodePostprocessor +from llama_index.core.schema import MetadataMode, NodeWithScore, QueryBundle + +dispatcher = get_dispatcher(__name__) + + +class MyModelBasedReranker(BaseNodePostprocessor): + """Flag Embedding Reranker.""" + + """Flag Embedding Reranker.""" + + model: str = Field(description="BAAI Reranker model name.") + top_n: int = Field(description="Number of nodes to return sorted by score.") + similarity_threshold: float = Field( + default=None, description="Similarity threshold for the reranker scores." + ) + use_fp16: bool = Field(description="Whether to use fp16 for inference.") + _model: Any = PrivateAttr() + + def __init__( + self, + top_n: int = 2, + similarity_threshold: None = None, + model: str = "BAAI/bge-reranker-large", + use_fp16: bool = False, + ) -> None: + try: + from FlagEmbedding import FlagReranker + except ImportError: + raise ImportError( + "Cannot import FlagReranker package, please install it: ", + "pip install git+https://github.com/FlagOpen/FlagEmbedding.git", + ) + self._model = FlagReranker( + model, + use_fp16=use_fp16, + ) + super().__init__( + top_n=top_n, + model=model, + similarity_threshold=similarity_threshold, + use_fp16=use_fp16, + ) + + @classmethod + def class_name(cls) -> str: + return "MyModelBasedReranker" + + def _postprocess_nodes( + self, + nodes: List[NodeWithScore], + query_bundle: Optional[QueryBundle] = None, + ) -> List[NodeWithScore]: + dispatch_event = dispatcher.get_dispatch_event() + dispatch_event( + ReRankStartEvent( + query=query_bundle, + nodes=nodes, + top_n=self.top_n, + model_name=self.model, + ) + ) + + if query_bundle is None: + raise ValueError("Missing query bundle in extra info.") + if len(nodes) == 0: + return [] + + query_and_nodes = [ + ( + query_bundle.query_str, + node.node.get_content(metadata_mode=MetadataMode.EMBED), + ) + for node in nodes + ] + + with self.callback_manager.event( + CBEventType.RERANKING, + payload={ + EventPayload.NODES: nodes, + EventPayload.MODEL_NAME: self.model, + EventPayload.QUERY_STR: query_bundle.query_str, + EventPayload.TOP_K: self.top_n, + }, + ) as event: + scores = self._model.compute_score(query_and_nodes) + # a single node passed into compute_score returns a float + if isinstance(scores, float): + scores = [scores] + + assert len(scores) == len(nodes) + + for node, score in zip(nodes, scores): + node.score = score + + new_nodes = sorted(nodes, key=lambda x: -x.score if x.score else 0)[ + : self.top_n + ] + + if self.similarity_threshold is not None: + new_nodes = [ + node for node in new_nodes if node.score > self.similarity_threshold + ] + event.on_end(payload={EventPayload.NODES: new_nodes}) + + dispatch_event(ReRankEndEvent(nodes=new_nodes)) + return new_nodes diff --git a/src/pai_rag/integrations/postprocessor/my_simple_weighted_rerank.py b/src/pai_rag/integrations/postprocessor/my_simple_weighted_rerank.py new file mode 100644 index 00000000..5aaa4679 --- /dev/null +++ b/src/pai_rag/integrations/postprocessor/my_simple_weighted_rerank.py @@ -0,0 +1,123 @@ +"""LLM reranker.""" +from typing import Callable, List, Optional, Dict + +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.indices.utils import ( + default_format_node_batch_fn, + default_parse_choice_select_answer_fn, +) +from llama_index.core.postprocessor.types import BaseNodePostprocessor +from llama_index.core.schema import NodeWithScore, QueryBundle +from llama_index.core.service_context import ServiceContext +from pai_rag.integrations.retrievers.fusion_retriever import MyNodeWithScore + + +class MySimpleWeightedRerank(BaseNodePostprocessor): + """LLM-based reranker.""" + + vector_weight: float = Field(description="Weight of vector index retriever.") + keyword_weight: float = Field(description="Weight of keyword index retriever.") + top_n: int = Field(description="Top N nodes to return.") + similarity_threshold: float = Field( + default=None, description="Similarity threshold for the reranker scores." + ) + + _format_node_batch_fn: Callable = PrivateAttr() + _parse_choice_select_answer_fn: Callable = PrivateAttr() + + def __init__( + self, + vector_weight: float = 0.7, + keyword_weight: float = 0.3, + top_n: int = 10, + similarity_threshold: None = None, + format_node_batch_fn: Optional[Callable] = None, + parse_choice_select_answer_fn: Optional[Callable] = None, + service_context: Optional[ServiceContext] = None, + ) -> None: + self._format_node_batch_fn = ( + format_node_batch_fn or default_format_node_batch_fn + ) + self._parse_choice_select_answer_fn = ( + parse_choice_select_answer_fn or default_parse_choice_select_answer_fn + ) + + super().__init__( + service_context=service_context, + top_n=top_n, + vector_weight=vector_weight, + keyword_weight=keyword_weight, + similarity_threshold=similarity_threshold, + ) + + @classmethod + def class_name(cls) -> str: + return "MySimpleWeightedRerank" + + def filter_threshhold(self, nodes): + if self.similarity_threshold: + nodes = [node for node in nodes if node.score > self.similarity_threshold] + return sorted(nodes, key=lambda x: x.score or 0.0, reverse=True)[: self.top_n] + + def normalize_bm25_nodes(self, bm25_nodes): + bm25_scores = [node.score for node in bm25_nodes] + max_score = max(bm25_scores) + for node_with_score in bm25_nodes: + node_with_score.score = node_with_score.score / max_score + return bm25_nodes + + def _weighted_fusion(self, vector_nodes, bm25_nodes): + all_nodes: Dict[str, NodeWithScore] = {} + bm25_nodes = [node for node in bm25_nodes if node.score > 0] + if len(bm25_nodes) > 0: + for vector_node_with_score in vector_nodes: + node_id = vector_node_with_score.node.node_id + all_nodes[node_id] = vector_node_with_score + all_nodes[node_id].score = ( + vector_node_with_score.score * self.vector_weight + ) + + bm25_nodes = self.normalize_bm25_nodes(bm25_nodes) + for bm25_node_with_score in bm25_nodes: + node_id = bm25_node_with_score.node.node_id + if node_id in all_nodes: + all_nodes[node_id].score += ( + bm25_node_with_score.score * self.keyword_weight + ) + else: + all_nodes[node_id] = bm25_node_with_score + all_nodes[node_id].score = ( + bm25_node_with_score.score * self.keyword_weight + ) + else: + for vector_node_with_score in vector_nodes: + node_id = vector_node_with_score.node.node_id + all_nodes[node_id] = vector_node_with_score + all_nodes[node_id].score = vector_node_with_score.score * 1.0 + + return self.filter_threshhold(all_nodes.values()) + + def _postprocess_nodes( + self, + nodes: List[MyNodeWithScore], + query_bundle: Optional[QueryBundle] = None, + ) -> List[NodeWithScore]: + if query_bundle is None: + raise ValueError("Query bundle must be provided.") + if len(nodes) == 0: + return [] + + vector_nodes = [node for node in nodes if node.retriever_type == "vector"] + bm25_nodes = [node for node in nodes if node.retriever_type == "keyword"] + + if len(vector_nodes) > 0 and len(bm25_nodes) == 0: + return self.filter_threshhold(vector_nodes) + elif len(vector_nodes) == 0 and len(bm25_nodes) > 0: + bm25_nodes = [node for node in bm25_nodes if node.score > 0] + if len(bm25_nodes) > 0: + bm25_nodes = self.normalize_bm25_nodes(bm25_nodes) + return self.filter_threshhold(bm25_nodes) + else: + return [] + else: + return self._weighted_fusion(vector_nodes, bm25_nodes) diff --git a/src/pai_rag/integrations/retrievers/fusion_retriever.py b/src/pai_rag/integrations/retrievers/fusion_retriever.py new file mode 100644 index 00000000..fb51df90 --- /dev/null +++ b/src/pai_rag/integrations/retrievers/fusion_retriever.py @@ -0,0 +1,410 @@ +import asyncio +from enum import Enum +from typing import Dict, List, Optional, Tuple, cast, Any + +from llama_index.core.async_utils import run_async_tasks +from llama_index.core.callbacks.base import CallbackManager +from llama_index.core.constants import DEFAULT_SIMILARITY_TOP_K +from llama_index.core.llms.utils import LLMType, resolve_llm +from llama_index.core.prompts import PromptTemplate +from llama_index.core.prompts.mixin import PromptDictType +from llama_index.core.retrievers import BaseRetriever +from llama_index.core.schema import ( + IndexNode, + NodeWithScore, + QueryBundle, + BaseComponent, + BaseNode, + TextNode, + MetadataMode, +) +from llama_index.core.settings import Settings +from llama_index.core.utils import print_text + +QUERY_GEN_PROMPT = ( + "You are a helpful assistant that generates multiple search queries based on a " + "single input query. Generate {num_queries} search queries, one on each line, " + "related to the following input query:\n" + "Query: {query}\n" + "Queries:\n" +) + + +class FUSION_MODES(str, Enum): + """Enum for different fusion modes.""" + + RECIPROCAL_RANK = "reciprocal_rerank" # apply reciprocal rank fusion + DETAIL_RECIPROCAL_RANK = "detail_reciprocal_rerank" # apply reciprocal rank fusion + RELATIVE_SCORE = "relative_score" # apply relative score fusion + DIST_BASED_SCORE = "dist_based_score" # apply distance-based score fusion + SIMPLE = "simple" # simple re-ordering of results based on original scores + NO_FUSION = "no_fusion" + + +class MyNodeWithScore(BaseComponent): + node: BaseNode + score: Optional[float] = None + retriever_type: Optional[str] = None + + def __str__(self) -> str: + score_str = "None" if self.score is None else f"{self.score: 0.3f}" + return f"{self.node}\nScore: {score_str}\nRetrieverType: {self.retriever_type}" + + def get_score(self, raise_error: bool = False) -> float: + """Get score.""" + if self.score is None: + if raise_error: + raise ValueError("Score not set.") + else: + return 0.0 + else: + return self.score + + @classmethod + def class_name(cls) -> str: + return "MyNodeWithScore" + + ##### pass through methods to BaseNode ##### + @property + def node_id(self) -> str: + return self.node.node_id + + @property + def id_(self) -> str: + return self.node.id_ + + @property + def text(self) -> str: + if isinstance(self.node, TextNode): + return self.node.text + else: + raise ValueError("Node must be a TextNode to get text.") + + @property + def metadata(self) -> Dict[str, Any]: + return self.node.metadata + + @property + def embedding(self) -> Optional[List[float]]: + return self.node.embedding + + def get_text(self) -> str: + if isinstance(self.node, TextNode): + return self.node.get_text() + else: + raise ValueError("Node must be a TextNode to get text.") + + def get_content(self, metadata_mode: MetadataMode = MetadataMode.NONE) -> str: + return self.node.get_content(metadata_mode=metadata_mode) + + def get_embedding(self) -> List[float]: + return self.node.get_embedding() + + +class MyQueryFusionRetriever(BaseRetriever): + def __init__( + self, + retrievers: List[BaseRetriever], + llm: Optional[LLMType] = None, + query_gen_prompt: Optional[str] = None, + mode: FUSION_MODES = FUSION_MODES.NO_FUSION, + similarity_top_k: int = DEFAULT_SIMILARITY_TOP_K, + num_queries: int = 4, + use_async: bool = True, + verbose: bool = False, + callback_manager: Optional[CallbackManager] = None, + objects: Optional[List[IndexNode]] = None, + object_map: Optional[dict] = None, + retriever_weights: Optional[List[float]] = None, + ) -> None: + self.num_queries = num_queries + self.query_gen_prompt = query_gen_prompt or QUERY_GEN_PROMPT + self.similarity_top_k = similarity_top_k + self.mode = mode + self.use_async = use_async + + self._retrievers = retrievers + if retriever_weights is None: + self._retriever_weights = [1.0 / len(retrievers)] * len(retrievers) + else: + # Sum of retriever_weights must be 1 + total_weight = sum(retriever_weights) + self._retriever_weights = [w / total_weight for w in retriever_weights] + self._llm = ( + resolve_llm(llm, callback_manager=callback_manager) if llm else Settings.llm + ) + super().__init__( + callback_manager=callback_manager, + object_map=object_map, + objects=objects, + verbose=verbose, + ) + + def _get_prompts(self) -> PromptDictType: + """Get prompts.""" + return {"query_gen_prompt": PromptTemplate(self.query_gen_prompt)} + + def _update_prompts(self, prompts: PromptDictType) -> None: + """Update prompts.""" + if "query_gen_prompt" in prompts: + self.query_gen_prompt = cast( + PromptTemplate, prompts["query_gen_prompt"] + ).template + + def _get_queries(self, original_query: str) -> List[QueryBundle]: + prompt_str = self.query_gen_prompt.format( + num_queries=self.num_queries - 1, + query=original_query, + ) + response = self._llm.complete(prompt_str) + + # assume LLM proper put each query on a newline + queries = response.text.split("\n") + queries = [q.strip() for q in queries if q.strip()] + if self._verbose: + queries_str = "\n".join(queries) + print(f"Generated queries:\n{queries_str}") + + # The LLM often returns more queries than we asked for, so trim the list. + return [QueryBundle(q) for q in queries[: self.num_queries - 1]] + + def _reciprocal_rerank_fusion( + self, results: Dict[Tuple[str, int], List[NodeWithScore]] + ) -> List[MyNodeWithScore]: + """ + Apply reciprocal rank fusion. + + The original paper uses k=60 for best results: + https://plg.uwaterloo.ca/~gvcormac/cormacksigir09-rrf.pdf + """ + k = 60.0 # `k` is a parameter used to control the impact of outlier rankings. + fused_scores = {} + text_to_node = {} + + # compute reciprocal rank scores + for nodes_with_scores in results.values(): + for rank, node_with_score in enumerate( + sorted(nodes_with_scores, key=lambda x: x.score or 0.0, reverse=True) + ): + text = node_with_score.node.get_content() + text_to_node[text] = node_with_score + if text not in fused_scores: + fused_scores[text] = 0.0 + fused_scores[text] += 1.0 / (rank + k) + + # sort results + reranked_results = dict( + sorted(fused_scores.items(), key=lambda x: x[1], reverse=True) + ) + + # adjust node scores + reranked_nodes: List[MyNodeWithScore] = [] + for text, score in reranked_results.items(): + reranked_nodes.append(text_to_node[text]) + reranked_nodes[-1].score = score + + return reranked_nodes + + def _relative_score_fusion( + self, + results: Dict[Tuple[str, int], List[NodeWithScore]], + dist_based: Optional[bool] = False, + ) -> List[NodeWithScore]: + """Apply relative score fusion.""" + # MinMax scale scores of each result set (highest value becomes 1, lowest becomes 0) + # then scale by the weight of the retriever + min_max_scores = {} + for query_tuple, nodes_with_scores in results.items(): + if not nodes_with_scores: + min_max_scores[query_tuple] = (0.0, 0.0) + continue + scores = [node_with_score.score for node_with_score in nodes_with_scores] + if dist_based: + # Set min and max based on mean and std dev + mean_score = sum(scores) / len(scores) + std_dev = ( + sum((x - mean_score) ** 2 for x in scores) / len(scores) + ) ** 0.5 + min_score = mean_score - 3 * std_dev + max_score = mean_score + 3 * std_dev + else: + min_score = min(scores) + max_score = max(scores) + min_max_scores[query_tuple] = (min_score, max_score) + + for query_tuple, nodes_with_scores in results.items(): + for node_with_score in nodes_with_scores: + min_score, max_score = min_max_scores[query_tuple] + # Scale the score to be between 0 and 1 + if max_score == min_score: + node_with_score.score = 1.0 if max_score > 0 else 0.0 + else: + node_with_score.score = (node_with_score.score - min_score) / ( + max_score - min_score + ) + # Scale by the weight of the retriever + retriever_idx = query_tuple[1] + node_with_score.score *= self._retriever_weights[retriever_idx] + # Divide by the number of queries + node_with_score.score /= self.num_queries + + # Use a dict to de-duplicate nodes + all_nodes: Dict[str, NodeWithScore] = {} + + # Sum scores for each node + for nodes_with_scores in results.values(): + for node_with_score in nodes_with_scores: + text = node_with_score.node.get_content() + if text in all_nodes: + all_nodes[text].score += node_with_score.score + else: + all_nodes[text] = node_with_score + + return sorted(all_nodes.values(), key=lambda x: x.score or 0.0, reverse=True) + + def _simple_fusion( + self, results: Dict[Tuple[str, int], List[NodeWithScore]] + ) -> List[NodeWithScore]: + """Apply simple fusion.""" + # Use a dict to de-duplicate nodes + all_nodes: Dict[str, NodeWithScore] = {} + for nodes_with_scores in results.values(): + for node_with_score in nodes_with_scores: + text = node_with_score.node.get_content() + if text in all_nodes: + max_score = max(node_with_score.score, all_nodes[text].score) + all_nodes[text].score = max_score + else: + all_nodes[text] = node_with_score + + return sorted(all_nodes.values(), key=lambda x: x.score or 0.0, reverse=True) + + def _no_fusion( + self, results: Dict[Tuple[str, int], List[NodeWithScore]] + ) -> List[MyNodeWithScore]: + """Apply simple fusion.""" + # Use a dict to de-duplicate nodes + all_nodes: List[NodeWithScore] = [] + for nodes_with_scores in results.values(): + for node_with_score in nodes_with_scores: + all_nodes.append(node_with_score) + return all_nodes + + def _run_nested_async_queries( + self, queries: List[QueryBundle] + ) -> Dict[Tuple[str, int], List[NodeWithScore]]: + tasks, task_queries = [], [] + for query in queries: + for i, retriever in enumerate(self._retrievers): + tasks.append(retriever.aretrieve(query)) + task_queries.append((query.query_str, i)) + + task_results = run_async_tasks(tasks) + + results = {} + for query_tuple, query_result in zip(task_queries, task_results): + results[query_tuple] = query_result + + return results + + async def _run_async_queries( + self, queries: List[QueryBundle] + ) -> Dict[Tuple[str, int], List[NodeWithScore]]: + tasks, task_queries = [], [] + for query in queries: + for i, retriever in enumerate(self._retrievers): + tasks.append(retriever.aretrieve(query)) + task_queries.append((query.query_str, i)) + + task_results = await asyncio.gather(*tasks) + + results = {} + for query_tuple, query_result in zip(task_queries, task_results): + results[query_tuple] = query_result + + return results + + def _run_sync_queries( + self, queries: List[QueryBundle] + ) -> Dict[Tuple[str, int], List[NodeWithScore]]: + results = {} + for query in queries: + for i, retriever in enumerate(self._retrievers): + results[(query.query_str, i)] = retriever.retrieve(query) + + return results + + def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: + queries: List[QueryBundle] = [query_bundle] + if self.num_queries > 1: + queries.extend(self._get_queries(query_bundle.query_str)) + + if self.use_async: + results = self._run_nested_async_queries(queries) + else: + results = self._run_sync_queries(queries) + + if self.mode == FUSION_MODES.RECIPROCAL_RANK: + return self._reciprocal_rerank_fusion(results)[: self.similarity_top_k] + elif self.mode == FUSION_MODES.RELATIVE_SCORE: + return self._relative_score_fusion(results)[: self.similarity_top_k] + elif self.mode == FUSION_MODES.DIST_BASED_SCORE: + return self._relative_score_fusion(results, dist_based=True)[ + : self.similarity_top_k + ] + elif self.mode == FUSION_MODES.SIMPLE: + return self._simple_fusion(results)[: self.similarity_top_k] + elif self.mode == FUSION_MODES.NO_FUSION: + return self._no_fusion(results) + else: + raise ValueError(f"Invalid fusion mode: {self.mode}") + + async def _aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: + queries: List[QueryBundle] = [query_bundle] + if self.num_queries > 1: + queries.extend(self._get_queries(query_bundle.query_str)) + + results = await self._run_async_queries(queries) + + if self.mode == FUSION_MODES.RECIPROCAL_RANK: + return self._reciprocal_rerank_fusion(results)[: self.similarity_top_k] + elif self.mode == FUSION_MODES.RELATIVE_SCORE: + return self._relative_score_fusion(results)[: self.similarity_top_k] + elif self.mode == FUSION_MODES.DIST_BASED_SCORE: + return self._relative_score_fusion(results, dist_based=True)[ + : self.similarity_top_k + ] + elif self.mode == FUSION_MODES.SIMPLE: + return self._simple_fusion(results)[: self.similarity_top_k] + elif self.mode == FUSION_MODES.NO_FUSION: + return self._no_fusion(results) + else: + raise ValueError(f"Invalid fusion mode: {self.mode}") + + async def _ahandle_recursive_retrieval( + self, query_bundle: QueryBundle, nodes: List[NodeWithScore] + ) -> List[NodeWithScore]: + retrieved_nodes: List[NodeWithScore] = [] + for n in nodes: + node = n.node + score = n.score or 1.0 + if isinstance(node, IndexNode): + obj = node.obj or self.object_map.get(node.index_id, None) + if obj is not None: + if self._verbose: + print_text( + f"Retrieval entering {node.index_id}: {obj.__class__.__name__}\n", + color="llama_turquoise", + ) + # TODO: Add concurrent execution via `run_jobs()` ? + retrieved_nodes.extend( + await self._aretrieve_from_object( + obj, query_bundle=query_bundle, score=score + ) + ) + else: + retrieved_nodes.append(n) + else: + retrieved_nodes.append(n) + + return retrieved_nodes diff --git a/src/pai_rag/integrations/vector_stores/analyticdb/my_analyticdb.py b/src/pai_rag/integrations/vector_stores/analyticdb/my_analyticdb.py new file mode 100644 index 00000000..a72a935c --- /dev/null +++ b/src/pai_rag/integrations/vector_stores/analyticdb/my_analyticdb.py @@ -0,0 +1,92 @@ +"""AnalyticDB vector store.""" + +import json +from typing import Any + +from llama_index.core.vector_stores.types import ( + VectorStoreQuery, + VectorStoreQueryMode, + VectorStoreQueryResult, +) +from llama_index.core.vector_stores.utils import ( + metadata_dict_to_node, +) +from llama_index.vector_stores.analyticdb import AnalyticDBVectorStore +from llama_index.vector_stores.analyticdb.base import _recursively_parse_adb_filter +from pai_rag.utils.score_utils import normalize_cosine_similarity_score + + +class MyAnalyticDBVectorStore(AnalyticDBVectorStore): + """My AnalyticDB vector store. + + In this vector store, embeddings and docs are stored within a + single table. + + During query time, the index uses AnalyticDB to query for the top + k most similar nodes. + + Args: + region_id: str + instance_id: str + account: str + account_password: str + namespace: str + namespace_password: str + embedding_dimension: int + metrics: str + collection: str + """ + + def query(self, query: VectorStoreQuery, **kwargs: Any) -> VectorStoreQueryResult: + """ + Query the vector store for top k most similar nodes. + + Args: + query: VectorStoreQuery: the query to execute. + + Returns: + VectorStoreQueryResult: the result of the query. + """ + from alibabacloud_gpdb20160503 import models as gpdb_20160503_models + + self._initialize() + vector = ( + query.query_embedding + if query.mode in (VectorStoreQueryMode.DEFAULT, VectorStoreQueryMode.HYBRID) + else None + ) + content = ( + query.query_str + if query.mode in (VectorStoreQueryMode.SPARSE, VectorStoreQueryMode.HYBRID) + else None + ) + request = gpdb_20160503_models.QueryCollectionDataRequest( + dbinstance_id=self.instance_id, + region_id=self.region_id, + namespace=self.namespace, + namespace_password=self.namespace_password, + collection=self.collection, + include_values=kwargs.pop("include_values", True), + metrics=self.metrics, + vector=vector, + content=content, + top_k=query.similarity_top_k, + filter=_recursively_parse_adb_filter(query.filters), + ) + response = self._client.query_collection_data(request) + nodes = [] + similarities = [] + ids = [] + for match in response.body.matches.match: + node = metadata_dict_to_node( + json.loads(match.metadata.get("metadata_")), + match.metadata.get("content"), + ) + nodes.append(node) + similarities.append(normalize_cosine_similarity_score(match.score)) + ids.append(match.metadata.get("node_id")) + return VectorStoreQueryResult( + nodes=nodes, + similarities=similarities, + ids=ids, + ) diff --git a/src/pai_rag/modules/retriever/my_async_vector_store.py b/src/pai_rag/integrations/vector_stores/elasticsearch/my_async_vector_store.py similarity index 99% rename from src/pai_rag/modules/retriever/my_async_vector_store.py rename to src/pai_rag/integrations/vector_stores/elasticsearch/my_async_vector_store.py index 9eb2dc69..fa1dc4ea 100644 --- a/src/pai_rag/modules/retriever/my_async_vector_store.py +++ b/src/pai_rag/integrations/vector_stores/elasticsearch/my_async_vector_store.py @@ -282,7 +282,6 @@ async def search( source_includes=fields, ) hits: List[Dict[str, Any]] = response["hits"]["hits"] - return hits async def _create_index_if_not_exists(self) -> None: diff --git a/src/pai_rag/modules/retriever/my_elasticsearch_store.py b/src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py similarity index 94% rename from src/pai_rag/modules/retriever/my_elasticsearch_store.py rename to src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py index f716f651..e26013a3 100644 --- a/src/pai_rag/modules/retriever/my_elasticsearch_store.py +++ b/src/pai_rag/integrations/vector_stores/elasticsearch/my_elasticsearch.py @@ -19,7 +19,9 @@ metadata_dict_to_node, node_to_metadata_dict, ) -from pai_rag.modules.retriever.my_async_vector_store import AsyncVectorStore +from pai_rag.integrations.vector_stores.elasticsearch.my_async_vector_store import ( + AsyncVectorStore, +) from elasticsearch.helpers.vectorstore import ( AsyncBM25Strategy, AsyncSparseVectorStrategy, @@ -450,8 +452,11 @@ async def aquery( """ if query.mode == VectorStoreQueryMode.HYBRID: - retrieval_strategy = AsyncDenseVectorStrategy( - hybrid=True, rrf={"window_size": 50} + # retrieval_strategy = AsyncDenseVectorStrategy( + # hybrid=True, rrf={"window_size": 50} + # ) + raise ValueError( + "Not support query.mode == VectorStoreQueryMode.HYBRID for Elasticsearch." ) elif query.mode == VectorStoreQueryMode.TEXT_SEARCH: retrieval_strategy = AsyncBM25Strategy() @@ -477,7 +482,6 @@ async def aquery( filter = [_to_elasticsearch_filter(query.filters)] else: filter = es_filter or [] - hits = await self._store.search( query=query.query_str, query_vector=query.query_embedding, @@ -486,7 +490,6 @@ async def aquery( filter=filter, custom_query=custom_query, ) - top_k_nodes = [] top_k_ids = [] top_k_scores = [] @@ -499,6 +502,11 @@ async def aquery( try: node = metadata_dict_to_node(metadata) node.text = text + node.metadata["retrieval_type"] = ( + "keyword" + if isinstance(retrieval_strategy, AsyncBM25Strategy) + else "vector" + ) except Exception: # Legacy support for old metadata format logger.warning( @@ -512,6 +520,11 @@ async def aquery( start_char_idx = node_info.get("start", None) end_char_idx = node_info.get("end", None) + metadata["retrieval_type"] = ( + "keyword" + if isinstance(retrieval_strategy, AsyncBM25Strategy) + else "vector" + ) node = TextNode( text=text, metadata=metadata, @@ -522,17 +535,14 @@ async def aquery( ) top_k_nodes.append(node) top_k_ids.append(node_id) - top_k_scores.append(hit.get("_rank", hit["_score"])) + top_k_scores.append(hit.get("_rank", round(hit["_score"], 6))) - if ( - isinstance(self.retrieval_strategy, AsyncDenseVectorStrategy) - and self.retrieval_strategy.hybrid - ): - total_rank = sum(top_k_scores) - top_k_scores = [total_rank - rank / total_rank for rank in top_k_scores] + if isinstance(retrieval_strategy, AsyncBM25Strategy) and len(top_k_nodes) > 0: + max_score = max(top_k_scores) + top_k_scores = [score / max_score for score in top_k_scores] return VectorStoreQueryResult( nodes=top_k_nodes, ids=top_k_ids, - similarities=_to_llama_similarities(top_k_scores), + similarities=top_k_scores, ) diff --git a/src/pai_rag/integrations/vector_stores/faiss/my_faiss.py b/src/pai_rag/integrations/vector_stores/faiss/my_faiss.py new file mode 100644 index 00000000..f58999d4 --- /dev/null +++ b/src/pai_rag/integrations/vector_stores/faiss/my_faiss.py @@ -0,0 +1,81 @@ +"""Faiss Vector store index. + +An index that is built on top of an existing vector store. + +""" + +import logging +import os +from typing import Any, List, cast + +import numpy as np +from llama_index.core.vector_stores.simple import DEFAULT_VECTOR_STORE, NAMESPACE_SEP +from llama_index.core.vector_stores.types import ( + DEFAULT_PERSIST_DIR, + DEFAULT_PERSIST_FNAME, + VectorStoreQuery, + VectorStoreQueryResult, +) +from llama_index.vector_stores.faiss import FaissVectorStore +from pai_rag.utils.score_utils import normalize_cosine_similarity_score + +logger = logging.getLogger() + +DEFAULT_PERSIST_PATH = os.path.join( + DEFAULT_PERSIST_DIR, f"{DEFAULT_VECTOR_STORE}{NAMESPACE_SEP}{DEFAULT_PERSIST_FNAME}" +) + + +class MyFaissVectorStore(FaissVectorStore): + """My Faiss Vector Store. + + Embeddings are stored within a Faiss index. + + During query time, the index uses Faiss to query for the top + k embeddings, and returns the corresponding indices. + + Args: + faiss_index (faiss.Index): Faiss index instance + + """ + + def query( + self, + query: VectorStoreQuery, + **kwargs: Any, + ) -> VectorStoreQueryResult: + """Query index for top k most similar nodes. + + Args: + query_embedding (List[float]): query embedding + similarity_top_k (int): top k most similar nodes + + """ + if query.filters is not None: + raise ValueError("Metadata filters not implemented for Faiss yet.") + + query_embedding = cast(List[float], query.query_embedding) + query_embedding_np = np.array(query_embedding, dtype="float32")[np.newaxis, :] + dists, indices = self._faiss_index.search( + query_embedding_np, query.similarity_top_k + ) + dists = list(dists[0]) + # if empty, then return an empty response + if len(indices) == 0: + return VectorStoreQueryResult(similarities=[], ids=[]) + + # returned dimension is 1 x k + node_idxs = indices[0] + + filtered_dists = [] + filtered_node_idxs = [] + for dist, idx in zip(dists, node_idxs): + if idx < 0: + continue + # Ours: normalize the cosine sim score to [0,1] + filtered_dists.append(normalize_cosine_similarity_score(dist)) + filtered_node_idxs.append(str(idx)) + + return VectorStoreQueryResult( + similarities=filtered_dists, ids=filtered_node_idxs + ) diff --git a/src/pai_rag/integrations/vector_stores/vector_stores_hologres/hologres.py b/src/pai_rag/integrations/vector_stores/hologres/hologres.py similarity index 96% rename from src/pai_rag/integrations/vector_stores/vector_stores_hologres/hologres.py rename to src/pai_rag/integrations/vector_stores/hologres/hologres.py index a5cef027..f6b3b8a4 100644 --- a/src/pai_rag/integrations/vector_stores/vector_stores_hologres/hologres.py +++ b/src/pai_rag/integrations/vector_stores/hologres/hologres.py @@ -4,7 +4,6 @@ """ import logging -import math from typing import Any, List, cast, Dict from hologres_vector import HologresVector from llama_index.core.bridge.pydantic import PrivateAttr @@ -14,6 +13,7 @@ VectorStoreQueryResult, ) from llama_index.core.vector_stores.types import BasePydanticVectorStore +from pai_rag.utils.score_utils import normalize_cosine_similarity_score logger = logging.getLogger() @@ -66,6 +66,7 @@ def from_connection_string( table_name=table_name, table_schema=table_schema, pre_delete_table=pre_delete_table, + distance_method="InnerProduct", ) return cls(hologres_storage=hologres_storage) @@ -185,7 +186,7 @@ def query( ) nodes.append(node) ids.append(result["id"]) - similarities.append(math.exp(-result["distance"])) + similarities.append(normalize_cosine_similarity_score(result["distance"])) return VectorStoreQueryResult(nodes=nodes, similarities=similarities, ids=ids) diff --git a/src/pai_rag/modules/index/my_milvus_vector_store.py b/src/pai_rag/integrations/vector_stores/milvus/my_milvus.py similarity index 98% rename from src/pai_rag/modules/index/my_milvus_vector_store.py rename to src/pai_rag/integrations/vector_stores/milvus/my_milvus.py index 5e1550e5..78f9ddae 100644 --- a/src/pai_rag/modules/index/my_milvus_vector_store.py +++ b/src/pai_rag/integrations/vector_stores/milvus/my_milvus.py @@ -32,6 +32,7 @@ node_to_metadata_dict, ) from pymilvus import Collection, MilvusClient, DataType, AnnSearchRequest +from pai_rag.utils.score_utils import normalize_cosine_similarity_score logger = logging.getLogger(__name__) @@ -483,7 +484,13 @@ def query(self, query: VectorStoreQuery, **kwargs: Any) -> VectorStoreQueryResul node = TextNode(text=text, metadata=metadata) nodes.append(node) - similarities.append(hit["distance"]) + if query.mode == VectorStoreQueryMode.DEFAULT: + similarities.append( + normalize_cosine_similarity_score(hit["distance"]) + ) + else: + similarities.append(hit["distance"]) + ids.append(hit["id"]) else: # Perform hybrid search @@ -569,7 +576,6 @@ def query(self, query: VectorStoreQuery, **kwargs: Any) -> VectorStoreQueryResul nodes.append(node) similarities.append(hit.distance) ids.append(hit.id) - return VectorStoreQueryResult(nodes=nodes, similarities=similarities, ids=ids) def _create_index_if_required(self, force: bool = False) -> None: diff --git a/src/pai_rag/modules/evaluation/batch_eval_runner.py b/src/pai_rag/modules/evaluation/batch_eval_runner.py index d35baa50..4e9aeeb6 100644 --- a/src/pai_rag/modules/evaluation/batch_eval_runner.py +++ b/src/pai_rag/modules/evaluation/batch_eval_runner.py @@ -3,9 +3,11 @@ from llama_index.core.async_utils import asyncio_module from llama_index.core.base.base_query_engine import BaseQueryEngine +from llama_index.core.base.base_retriever import BaseRetriever from llama_index.core.base.response.schema import RESPONSE_TYPE, Response from llama_index.core.evaluation.base import BaseEvaluator, EvaluationResult -from llama_index.core.evaluation import RetrievalEvalResult +from pai_rag.integrations.evaluation.retrieval.evaluator import MyRetrievalEvalResult +from fastapi.concurrency import run_in_threadpool async def eval_response_worker( @@ -34,7 +36,7 @@ async def eval_retriever_worker( evaluator_name: str, query: str, expected_ids: List[str], -) -> Tuple[str, RetrievalEvalResult]: +) -> Tuple[str, MyRetrievalEvalResult]: async with semaphore: return ( evaluator_name, @@ -52,6 +54,16 @@ async def response_worker( return await query_engine.aquery(query) +async def response_worker_for_retriever( + semaphore: asyncio.Semaphore, + retriever: BaseRetriever, + query: str, +) -> RESPONSE_TYPE: + """Get aquery tasks with semaphore.""" + async with semaphore: + return await retriever.aretrieve(query) + + class BatchEvalRunner: """Batch evaluation runner suitable for both retrieval and response modules. @@ -66,7 +78,7 @@ class BatchEvalRunner: def __init__( self, - retrieval_evaluators: Dict[str, RetrievalEvalResult], + retrieval_evaluators: Dict[str, MyRetrievalEvalResult], response_evaluators: Dict[str, EvaluationResult], workers: int = 2, show_progress: bool = False, @@ -79,8 +91,8 @@ def __init__( self.asyncio_mod = asyncio_module(show_progress=self.show_progress) def _format_results( - self, results: List[RetrievalEvalResult | EvaluationResult] - ) -> Dict[str, List[RetrievalEvalResult | EvaluationResult]]: + self, results: List[MyRetrievalEvalResult | EvaluationResult] + ) -> Dict[str, List[MyRetrievalEvalResult | EvaluationResult]]: """Format results.""" # Format results results_dict = {name: [] for name in self.retrieval_evaluators} @@ -88,7 +100,6 @@ def _format_results( results_dict.update(results_dict_response) for name, result in results: results_dict[name].append(result) - return results_dict def _validate_and_clean_inputs( @@ -166,7 +177,6 @@ async def aevaluate_responses( eval_jobs = [] for idx, query in enumerate(cast(List[str], queries)): for name, evaluator in self.retrieval_evaluators.items(): - # print('retrieval_evaluators:', name, evaluator) eval_jobs.append( eval_retriever_worker( self.semaphore, @@ -179,7 +189,6 @@ async def aevaluate_responses( response = cast(List, responses)[idx] eval_kwargs = self._get_eval_kwargs(eval_kwargs_lists, idx) for name, evaluator in self.response_evaluators.items(): - # print('response_evaluators:', name, evaluator) eval_jobs.append( eval_response_worker( self.semaphore, @@ -196,6 +205,52 @@ async def aevaluate_responses( # Format results return self._format_results(results) + async def aevaluate_retrieval_res( + self, + queries: Optional[List[str]] = None, + node_ids: Optional[List[str]] = None, + responses: Optional[List[Response]] = None, + **eval_kwargs_lists: Dict[str, Any], + ) -> Dict[str, List]: + """Evaluate query, response pairs. + + This evaluates queries and response objects. + + Args: + queries (Optional[List[str]]): List of query strings. Defaults to None. + responses (Optional[List[Response]]): List of response objects. + Defaults to None. + **eval_kwargs_lists (Dict[str, Any]): Dict of lists of kwargs to + pass to evaluator. Defaults to None. + + """ + queries, responses = self._validate_and_clean_inputs(queries, responses) + for k in eval_kwargs_lists: + v = eval_kwargs_lists[k] + if not isinstance(v, list): + raise ValueError( + f"Each value in eval_kwargs must be a list. Got {k}: {v}" + ) + eval_kwargs_lists[k] = self._validate_and_clean_inputs(v)[0] + + # run evaluations + eval_jobs = [] + for idx, query in enumerate(cast(List[str], queries)): + for name, evaluator in self.retrieval_evaluators.items(): + eval_jobs.append( + eval_retriever_worker( + self.semaphore, + evaluator, + name, + query=query, + expected_ids=node_ids[idx], + ) + ) + results = await self.asyncio_mod.gather(*eval_jobs) + + # Format results + return self._format_results(results) + async def aevaluate_queries( self, query_engine, @@ -222,10 +277,47 @@ async def aevaluate_queries( response_jobs.append(response_worker(self.semaphore, query_engine, query)) responses = await self.asyncio_mod.gather(*response_jobs) - return await self.aevaluate_responses( + return await run_in_threadpool( + lambda: self.aevaluate_responses( + queries=queries, + node_ids=node_ids, + responses=responses, + references=reference_answers, + **eval_kwargs_lists, + ) + ) + + async def aevaluate_queries_for_retrieval( + self, + retriever, + queries: Optional[List[str]] = None, + node_ids: Optional[List[str]] = None, + reference_answers: Optional[List[str]] = None, + **eval_kwargs_lists: Dict[str, Any], + ) -> Dict[str, List]: + """Evaluate queries. + + Args: + query_engine (BaseQueryEngine): Query engine. + queries (Optional[List[str]]): List of query strings. Defaults to None. + **eval_kwargs_lists (Dict[str, Any]): Dict of lists of kwargs to + pass to evaluator. Defaults to None. + + """ + if queries is None: + raise ValueError("`queries` must be provided") + + # gather responses + response_jobs = [] + for query in queries: + response_jobs.append( + response_worker_for_retriever(self.semaphore, retriever, query) + ) + responses = await self.asyncio_mod.gather(*response_jobs) + + return await self.aevaluate_retrieval_res( queries=queries, node_ids=node_ids, responses=responses, - references=reference_answers, **eval_kwargs_lists, ) diff --git a/src/pai_rag/modules/evaluation/pai_evaluator.py b/src/pai_rag/modules/evaluation/pai_evaluator.py index 0e9b7d40..2216ca12 100644 --- a/src/pai_rag/modules/evaluation/pai_evaluator.py +++ b/src/pai_rag/modules/evaluation/pai_evaluator.py @@ -3,7 +3,8 @@ from typing import Optional import json import pandas as pd -from llama_index.core.evaluation import RetrieverEvaluator + +# from llama_index.core.evaluation import RetrieverEvaluator from llama_index.core.evaluation import ( AnswerRelevancyEvaluator, FaithfulnessEvaluator, @@ -12,6 +13,7 @@ ) from pai_rag.modules.evaluation.ragdataset_generator import GenerateDatasetPipeline from pai_rag.modules.evaluation.batch_eval_runner import BatchEvalRunner +from pai_rag.integrations.evaluation.retrieval.evaluator import MyRetrieverEvaluator logger = logging.getLogger(__name__) DEFAULT_QA_DATASET_DIR = "localdata/evaluation" @@ -32,7 +34,7 @@ def __init__( self.query_engine = query_engine self.retriever = retriever self.retrieval_metrics = retrieval_metrics - self.retrieval_evaluator = RetrieverEvaluator.from_metric_names( + self.retrieval_evaluator = MyRetrieverEvaluator.from_metric_names( self.retrieval_metrics, retriever=self.retriever ) # TODO: if exists in list @@ -80,7 +82,7 @@ async def acustomized_generate_qas(self, dataset_name=None): qas = await pipeline.agenerate_dataset() else: print(f"Generating ragdataset for open dataset_name {dataset_name}") - qas = await pipeline.generate_dataset_from_miracl(dataset_name) + qas = await pipeline.generate_dataset_from_opendataset(dataset_name) pipeline.save_json(qas, self.dataset_path) async def abatch_retrieval_response_aevaluation( @@ -125,12 +127,20 @@ async def abatch_retrieval_response_aevaluation( workers=workers, show_progress=True, ) - eval_results = await runner.aevaluate_queries( - query_engine=self.query_engine, - queries=queries, - node_ids=reference_node_ids, - reference_answers=reference_answers, - ) + if type in ["response", "all"]: + eval_results = await runner.aevaluate_queries( + query_engine=self.query_engine, + queries=queries, + node_ids=reference_node_ids, + reference_answers=reference_answers, + ) + else: + eval_results = await runner.aevaluate_queries_for_retrieval( + retriever=self.retriever, + queries=queries, + node_ids=reference_node_ids, + reference_answers=reference_answers, + ) if type in ["retrieval", "all"]: df["retrieval_contexts"] = [ @@ -139,6 +149,9 @@ async def abatch_retrieval_response_aevaluation( df["retrieval_node_ids"] = [ e.retrieved_ids for e in eval_results["retrieval"] ] + df["retrieval_node_scores"] = [ + e.retrieved_scores for e in eval_results["retrieval"] + ] if "hit_rate" in self.retrieval_metrics: df["hit_rate"] = [ e.metric_vals_dict["hit_rate"] for e in eval_results["retrieval"] diff --git a/src/pai_rag/modules/evaluation/ragdataset_generator.py b/src/pai_rag/modules/evaluation/ragdataset_generator.py index 087cb6b3..9385060a 100644 --- a/src/pai_rag/modules/evaluation/ragdataset_generator.py +++ b/src/pai_rag/modules/evaluation/ragdataset_generator.py @@ -22,7 +22,7 @@ DEFAULT_TEXT_QA_PROMPT_TMPL, DEFAULT_QUESTION_GENERATION_QUERY, ) -from pai_rag.data.open_dataset import MiraclOpenDataSet +from pai_rag.data.open_dataset import MiraclOpenDataSet, DuRetrievalDataSet class ModifiedRagDatasetGenerator(RagDatasetGenerator): @@ -156,6 +156,26 @@ def generate_dataset_from_miracl(self) -> LabelledRagDataset: return LabelledRagDataset(examples=examples) + def generate_dataset_from_duretrieval(self) -> LabelledRagDataset: + """Node question generator.""" + examples: List[LabelledRagDataExample] = [] + duretrieval_dataset = DuRetrievalDataSet() + qrels = duretrieval_dataset.load_qrels() + _, docid2doc, qid2query = duretrieval_dataset.load_related_corpus() + for qid in qrels: + pos_docids = list(qrels[qid].keys()) + pos_docs = [docid2doc[docid] for docid in pos_docids] + example = LabelledRagDataExample( + query=qid2query[qid], + reference_answer="", + reference_contexts=pos_docs, + reference_node_id=pos_docids, + reference_answer_by=None, + query_by=None, + ) + examples.append(example) + return LabelledRagDataset(examples=examples) + class LabelledRagDataExample(BaseLlamaDataExample): """RAG example class. Analogous to traditional ML datasets, this dataset contains @@ -258,7 +278,9 @@ async def agenerate_dataset(self) -> LabelledRagDataset: logging.info("dataset generation completed.") return qas - async def generate_dataset_from_miracl(self, dataset_name) -> LabelledRagDataset: + async def generate_dataset_from_opendataset( + self, dataset_name + ) -> LabelledRagDataset: dataset_generator = ModifiedRagDatasetGenerator( nodes=self.nodes, llm=self.llm, @@ -270,6 +292,8 @@ async def generate_dataset_from_miracl(self, dataset_name) -> LabelledRagDataset ) if dataset_name == "miracl": qas = dataset_generator.generate_dataset_from_miracl() + elif dataset_name == "duretrieval": + qas = dataset_generator.generate_dataset_from_duretrieval() else: raise ValueError(f"Not supported dataset name with {dataset_name}") logging.info("dataset generation completed.") diff --git a/src/pai_rag/modules/index/index.py b/src/pai_rag/modules/index/index.py index c93b2486..e978c248 100644 --- a/src/pai_rag/modules/index/index.py +++ b/src/pai_rag/modules/index/index.py @@ -17,7 +17,7 @@ class RagIndex: - def __init__(self, config, embed_model): + def __init__(self, config, embed_model, postprocessor): self.config = config self.embed_model = embed_model self.embed_dims = self._get_embed_vec_dim(embed_model) @@ -27,7 +27,9 @@ def __init__(self, config, embed_model): index_entry.register(self.persist_path) is_empty = not os.path.exists(self.persist_path) - rag_store = RagStore(config, self.persist_path, is_empty, self.embed_dims) + rag_store = RagStore( + config, postprocessor, self.persist_path, is_empty, self.embed_dims + ) self.storage_context = rag_store.get_storage_context() self.vectordb_type = config["vector_store"].get("type", "faiss").lower() @@ -85,9 +87,10 @@ class IndexModule(ConfigurableModule): @staticmethod def get_dependencies() -> List[str]: - return ["EmbeddingModule"] + return ["EmbeddingModule", "PostprocessorModule"] def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] embed_model = new_params["EmbeddingModule"] - return RagIndex(config, embed_model) + postprocessor = new_params["PostprocessorModule"] + return RagIndex(config, embed_model, postprocessor) diff --git a/src/pai_rag/modules/index/my_vector_store_index.py b/src/pai_rag/modules/index/my_vector_store_index.py index ea6e7027..e43df371 100644 --- a/src/pai_rag/modules/index/my_vector_store_index.py +++ b/src/pai_rag/modules/index/my_vector_store_index.py @@ -85,7 +85,6 @@ async def _async_add_nodes_to_index( lambda: self._get_node_with_embedding(nodes_batch, show_progress) ) node_batch_list.append(nodes_batch) - await self._postprocess_all_batch( node_batch_list, index_struct, **insert_kwargs ) diff --git a/src/pai_rag/modules/index/pai_bm25_index.py b/src/pai_rag/modules/index/pai_bm25_index.py index b72053a2..3b97e949 100644 --- a/src/pai_rag/modules/index/pai_bm25_index.py +++ b/src/pai_rag/modules/index/pai_bm25_index.py @@ -4,11 +4,11 @@ import json import numpy as np from typing import Callable, List, cast, Dict -from llama_index.core.schema import BaseNode, TextNode, NodeWithScore +from llama_index.core.schema import BaseNode, TextNode from pai_rag.utils.tokenizer import jieba_tokenizer import concurrent.futures from scipy.sparse import csr_matrix - +from pai_rag.integrations.retrievers.fusion_retriever import MyNodeWithScore logger = logging.getLogger(__name__) @@ -168,7 +168,7 @@ def add_docs(self, nodes: List[BaseNode]): self.index.doc_lens, (0, pad_size), "constant", constant_values=(0) ) - chunk_size = 100000 + chunk_size = 1000000000 start_pos = 0 if len(text_list) < 2 * chunk_size: tokens_list = self.split_doc(text_list, self.tokenizer) @@ -279,7 +279,7 @@ def load_docs_with_index(self, doc_indexes): return [self.doc_cache[i] for i in doc_indexes] - def query(self, query_str: str, top_n: int = 5) -> List[NodeWithScore]: + def query(self, query_str: str, top_n: int = 5) -> List[MyNodeWithScore]: results = [] if self.index_matrix is None: return results @@ -289,12 +289,17 @@ def query(self, query_str: str, top_n: int = 5) -> List[NodeWithScore]: for token in tokens: if token in self.index.token_map: query_vec[self.index.token_map[token]] += 1 - doc_scores = self.index_matrix.multiply(query_vec).sum(axis=1).getA1() doc_indexes = doc_scores.argsort()[::-1][:top_n] text_nodes = self.load_docs_with_index(doc_indexes) for i, node in enumerate(text_nodes): - results.append(NodeWithScore(node=node, score=doc_scores[doc_indexes[i]])) + results.append( + MyNodeWithScore( + node=node, + score=doc_scores[doc_indexes[i]], + retriever_type="keyword", + ) + ) return results diff --git a/src/pai_rag/modules/index/store.py b/src/pai_rag/modules/index/store.py index 61b83258..47ccda21 100644 --- a/src/pai_rag/modules/index/store.py +++ b/src/pai_rag/modules/index/store.py @@ -3,20 +3,28 @@ import faiss from llama_index.core.storage.docstore.simple_docstore import SimpleDocumentStore from llama_index.core.storage.index_store.simple_index_store import SimpleIndexStore -from llama_index.vector_stores.analyticdb import AnalyticDBVectorStore -from llama_index.vector_stores.faiss import FaissVectorStore + +# from llama_index.vector_stores.analyticdb import AnalyticDBVectorStore +# from llama_index.vector_stores.faiss import FaissVectorStore from llama_index.vector_stores.chroma import ChromaVectorStore from elasticsearch.helpers.vectorstore import AsyncDenseVectorStrategy -from pai_rag.integrations.vector_stores.vector_stores_hologres.hologres import ( - HologresVectorStore, -) -from pai_rag.modules.index.my_milvus_vector_store import MyMilvusVectorStore from pai_rag.modules.index.sparse_embedding import BGEM3SparseEmbeddingFunction from llama_index.core import StorageContext import logging -from pai_rag.modules.retriever.my_elasticsearch_store import MyElasticsearchStore +from pai_rag.integrations.vector_stores.hologres.hologres import HologresVectorStore +from pai_rag.integrations.vector_stores.elasticsearch.my_elasticsearch import ( + MyElasticsearchStore, +) +from pai_rag.integrations.vector_stores.faiss.my_faiss import MyFaissVectorStore +from pai_rag.integrations.vector_stores.milvus.my_milvus import MyMilvusVectorStore +from pai_rag.integrations.vector_stores.analyticdb.my_analyticdb import ( + MyAnalyticDBVectorStore, +) +from pai_rag.integrations.postprocessor.my_simple_weighted_rerank import ( + MySimpleWeightedRerank, +) DEFAULT_CHROMA_COLLECTION_NAME = "pairag" @@ -24,8 +32,11 @@ class RagStore: - def __init__(self, config, persist_dir, is_empty, embed_dims): + def __init__(self, config, postprocessor, persist_dir, is_empty, embed_dims): self.store_config = config + print("self.store_config", self.store_config) + self.postprocessor = postprocessor + print("self.postprocessor", self.postprocessor) self.embed_dims = embed_dims self.persist_dir = persist_dir self.is_empty = is_empty @@ -88,10 +99,11 @@ def _get_or_create_chroma(self): def _get_or_create_faiss(self): if self.is_empty: - faiss_index = faiss.IndexFlatL2(self.embed_dims) - faiss_store = FaissVectorStore(faiss_index=faiss_index) + # faiss_index = faiss.IndexFlatL2(self.embed_dims) + faiss_index = faiss.IndexFlatIP(self.embed_dims) + faiss_store = MyFaissVectorStore(faiss_index=faiss_index) else: - faiss_store = FaissVectorStore.from_persist_dir(self.persist_dir) + faiss_store = MyFaissVectorStore.from_persist_dir(self.persist_dir) return faiss_store @@ -111,7 +123,7 @@ def _get_or_create_hologres(self): def _get_or_create_adb(self): adb_config = self.store_config["vector_store"] - adb = AnalyticDBVectorStore.from_params( + adb = MyAnalyticDBVectorStore.from_params( access_key_id=adb_config["ak"], access_key_secret=adb_config["sk"], region_id=adb_config["region_id"], @@ -149,6 +161,15 @@ def _get_or_create_milvus(self): milvus_url = f"http://{milvus_host.strip('/')}:{milvus_port}/{milvus_database}" token = f"{milvus_user}:{milvus_password}" + weighted_reranker = False + weights = [] + for item in self.postprocessor: + if isinstance(item, MySimpleWeightedRerank): + weighted_reranker = True + weights.append(item.vector_weight) + weights.append(item.keyword_weight) + print("weighted_reranker", weighted_reranker, weights) + break return MyMilvusVectorStore( uri=milvus_url, token=token, @@ -156,8 +177,9 @@ def _get_or_create_milvus(self): dim=self.embed_dims, enable_sparse=True, sparse_embedding_function=BGEM3SparseEmbeddingFunction(), + similarity_metric="cosine", hybrid_ranker="WeightedRanker", - hybrid_ranker_params={"weights": [0.7, 0.3]}, + hybrid_ranker_params={"weights": weights} if weighted_reranker else {}, ) def _get_or_create_simple_doc_store(self): diff --git a/src/pai_rag/modules/postprocessor/postprocessor.py b/src/pai_rag/modules/postprocessor/postprocessor.py index 998c8981..320ecb5b 100644 --- a/src/pai_rag/modules/postprocessor/postprocessor.py +++ b/src/pai_rag/modules/postprocessor/postprocessor.py @@ -5,14 +5,20 @@ from typing import Dict, List, Any # from modules.query.postprocessor.base import BaseNodePostprocessor -from llama_index.core.postprocessor import SimilarityPostprocessor -from llama_index.postprocessor.flag_embedding_reranker import FlagEmbeddingReranker from pai_rag.utils.constants import DEFAULT_MODEL_DIR from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG -from pai_rag.modules.postprocessor.my_llm_rerank import MyLLMRerank +from pai_rag.integrations.postprocessor.my_simple_weighted_rerank import ( + MySimpleWeightedRerank, +) +from pai_rag.integrations.postprocessor.my_model_based_reranker import ( + MyModelBasedReranker, +) DEFAULT_RANK_MODEL = "bge-reranker-base" +DEFAULT_WEIGHTED_RANK_VECTOR_WEIGHT = 0.7 +DEFAULT_WEIGHTED_RANK_KEYWORD_WEIGHT = 0.3 +DEFAULT_RANK_SIMILARITY_THRES = None DEFAULT_RANK_TOP_N = 2 logger = logging.getLogger(__name__) @@ -25,38 +31,57 @@ def get_dependencies() -> List[str]: def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] - llm = new_params["LlmModule"] post_processors = [] - if "similarity_cutoff" in config: - similarity_cutoff = config["similarity_cutoff"] - logger.info( - f"[PostProcessor]: SimilarityPostprocessor used with threshold {similarity_cutoff}." + reranker_type = config.get("reranker_type", "") + + if reranker_type == "simple-weighted-reranker": + vector_weight = config.get( + "vector_weight", DEFAULT_WEIGHTED_RANK_VECTOR_WEIGHT ) - post_processors.append( - SimilarityPostprocessor(similarity_cutoff=similarity_cutoff) + keyword_weight = config.get( + "keyword_weight", DEFAULT_WEIGHTED_RANK_KEYWORD_WEIGHT ) - - rerank_model = config.get("rerank_model", "") - if rerank_model == "llm-reranker": - top_n = config.get("top_n", DEFAULT_RANK_TOP_N) - logger.info(f"[PostProcessor]: Llm reranker used with top_n {top_n}.") - post_processors.append(MyLLMRerank(top_n=top_n, llm=llm)) - - elif ( - rerank_model == "bge-reranker-base" or rerank_model == "bge-reranker-large" - ): - model_dir = config.get("rerank_model_dir", DEFAULT_MODEL_DIR) - model_name = config.get("rerank_model_name", rerank_model) - model = os.path.join(model_dir, model_name) top_n = config.get("top_n", DEFAULT_RANK_TOP_N) + similarity_threshold = config.get( + "similarity_threshold", DEFAULT_RANK_SIMILARITY_THRES + ) logger.info( - f"[PostProcessor]: Reranker model used with top_n {top_n}, model {model_name}." + f"[PostProcessor]: Simple weighted reranker used with top_n: {top_n}, keyword_weight: {keyword_weight}, vector_weight: {vector_weight}, and similarity_threshold: {similarity_threshold}." ) post_processors.append( - FlagEmbeddingReranker(model=model, top_n=top_n, use_fp16=True), + MySimpleWeightedRerank( + vector_weight=vector_weight, + keyword_weight=keyword_weight, + top_n=top_n, + similarity_threshold=similarity_threshold, + ) ) - + elif reranker_type == "model-based-reranker": + top_n = config.get("top_n", DEFAULT_RANK_TOP_N) + similarity_threshold = config.get( + "similarity_threshold", DEFAULT_RANK_TOP_N + ) + reranker_model = config.get("reranker_model", DEFAULT_RANK_TOP_N) + if ( + reranker_model == "bge-reranker-base" + or reranker_model == "bge-reranker-large" + ): + model_dir = config.get("rerank_model_dir", DEFAULT_MODEL_DIR) + model = os.path.join(model_dir, reranker_model) + logger.info( + f"[PostProcessor]: Reranker model used with model-based-reranker: {reranker_model}, top_n: {top_n}, and similarity_threshold: {similarity_threshold}." + ) + post_processors.append( + MyModelBasedReranker( + model=model, + top_n=top_n, + similarity_threshold=similarity_threshold, + use_fp16=True, + ), + ) + else: + raise ValueError(f"Not supported reranker_model: {reranker_model}") else: logger.info("[PostProcessor]: No Reranker used.") diff --git a/src/pai_rag/modules/queryengine/my_retriever_query_engine.py b/src/pai_rag/modules/queryengine/my_retriever_query_engine.py index 7f157712..cb8d4e46 100644 --- a/src/pai_rag/modules/queryengine/my_retriever_query_engine.py +++ b/src/pai_rag/modules/queryengine/my_retriever_query_engine.py @@ -29,7 +29,6 @@ def retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: # 支持异步 async def aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]: nodes = await self._retriever.aretrieve(query_bundle) - for node_postprocessor in self._node_postprocessors: nodes = node_postprocessor.postprocess_nodes( nodes, diff --git a/src/pai_rag/modules/retriever/my_vector_index_retriever.py b/src/pai_rag/modules/retriever/my_vector_index_retriever.py index 755f02a6..a04a3d3c 100644 --- a/src/pai_rag/modules/retriever/my_vector_index_retriever.py +++ b/src/pai_rag/modules/retriever/my_vector_index_retriever.py @@ -4,7 +4,7 @@ from llama_index.core.data_structs.data_structs import IndexDict from llama_index.core.indices.utils import log_vector_store_query_result -from llama_index.core.schema import NodeWithScore, ObjectType +from llama_index.core.schema import ObjectType from llama_index.core.vector_stores.types import ( VectorStoreQueryResult, ) @@ -13,6 +13,7 @@ from llama_index.core.retrievers import ( VectorIndexRetriever, ) +from pai_rag.integrations.retrievers.fusion_retriever import MyNodeWithScore dispatcher = instrument.get_dispatcher(__name__) @@ -40,7 +41,7 @@ class MyVectorIndexRetriever(VectorIndexRetriever): def _build_node_list_from_query_result( self, query_result: VectorStoreQueryResult - ) -> List[NodeWithScore]: + ) -> List[MyNodeWithScore]: if query_result.nodes is None: # NOTE: vector store does not keep text and returns node indices. # Need to recover all nodes from docstore @@ -71,12 +72,19 @@ def _build_node_list_from_query_result( log_vector_store_query_result(query_result) - node_with_scores: List[NodeWithScore] = [] + node_with_scores: List[MyNodeWithScore] = [] query_result.similarities = sorted(query_result.similarities, reverse=True) for ind, node in enumerate(query_result.nodes): score: Optional[float] = None if query_result.similarities is not None: score = query_result.similarities[ind] - node_with_scores.append(NodeWithScore(node=node, score=score)) + if node.metadata.get("retrieval_type", "None") == "keyword": + node_with_scores.append( + MyNodeWithScore(node=node, score=score, retriever_type="keyword") + ) + else: + node_with_scores.append( + MyNodeWithScore(node=node, score=score, retriever_type="vector") + ) return node_with_scores diff --git a/src/pai_rag/modules/retriever/retriever.py b/src/pai_rag/modules/retriever/retriever.py index f844dbd9..5cf7505e 100644 --- a/src/pai_rag/modules/retriever/retriever.py +++ b/src/pai_rag/modules/retriever/retriever.py @@ -3,7 +3,8 @@ import logging from typing import Dict, List, Any from llama_index.core.indices.list.base import SummaryIndex -from llama_index.core.retrievers import QueryFusionRetriever + +# from llama_index.core.retrievers import QueryFusionRetriever from llama_index.core.tools import RetrieverTool from llama_index.core.selectors import LLMSingleSelector from llama_index.core.retrievers import RouterRetriever @@ -14,6 +15,7 @@ from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.utils.prompt_template import QUERY_GEN_PROMPT from pai_rag.modules.retriever.my_vector_index_retriever import MyVectorIndexRetriever +from pai_rag.integrations.retrievers.fusion_retriever import MyQueryFusionRetriever logger = logging.getLogger(__name__) @@ -33,7 +35,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): retrieval_mode = config.get("retrieval_mode", "hybrid").lower() # Special handle elastic search - if index.vectordb_type == "elasticsearch" or index.vectordb_type == "milvus": + if index.vectordb_type == "milvus": if retrieval_mode == "embedding": query_mode = VectorStoreQueryMode.DEFAULT elif retrieval_mode == "keyword": @@ -46,16 +48,36 @@ def _create_new_instance(self, new_params: Dict[str, Any]): similarity_top_k=similarity_top_k, vector_store_query_mode=query_mode, ) - - vector_retriever = MyVectorIndexRetriever( - index=index.vector_index, similarity_top_k=similarity_top_k - ) - - # keyword - bm25_retriever = BM25Retriever.from_defaults( - bm25_index=bm25_index, - similarity_top_k=similarity_top_k, - ) + elif index.vectordb_type == "elasticsearch": + if retrieval_mode != "hybrid": + if retrieval_mode == "embedding": + query_mode = VectorStoreQueryMode.DEFAULT + elif retrieval_mode == "keyword": + query_mode = VectorStoreQueryMode.TEXT_SEARCH + return MyVectorIndexRetriever( + index=index.vector_index, + similarity_top_k=similarity_top_k, + vector_store_query_mode=query_mode, + ) + else: + vector_retriever = MyVectorIndexRetriever( + index=index.vector_index, + similarity_top_k=similarity_top_k, + vector_store_query_mode=VectorStoreQueryMode.DEFAULT, + ) + bm25_retriever = MyVectorIndexRetriever( + index=index.vector_index, + similarity_top_k=similarity_top_k, + vector_store_query_mode=VectorStoreQueryMode.TEXT_SEARCH, + ) + else: + vector_retriever = MyVectorIndexRetriever( + index=index.vector_index, similarity_top_k=similarity_top_k + ) + bm25_retriever = BM25Retriever.from_defaults( + bm25_index=bm25_index, + similarity_top_k=similarity_top_k, + ) if retrieval_mode == "embedding": logger.info(f"MyVectorIndexRetriever used with top_k {similarity_top_k}.") @@ -66,23 +88,16 @@ def _create_new_instance(self, new_params: Dict[str, Any]): return bm25_retriever else: - vector_weight = config.get("vector_weight", 0.5) - keyword_weight = config.get("BM25_weight", 0.5) - fusion_mode = config.get("fusion_mode", "reciprocal_rerank") num_queries_gen = config.get("query_rewrite_n", 3) - - fusion_retriever = QueryFusionRetriever( - [vector_retriever, bm25_retriever], - similarity_top_k=similarity_top_k, - num_queries=num_queries_gen, # set this to 1 to disable query generation - mode=fusion_mode, - use_async=True, - verbose=True, - query_gen_prompt=QUERY_GEN_PROMPT, - retriever_weights=[vector_weight, keyword_weight], - ) - if config["retrieval_mode"] == "hybrid": + fusion_retriever = MyQueryFusionRetriever( + [vector_retriever, bm25_retriever], + similarity_top_k=similarity_top_k, + num_queries=num_queries_gen, # set this to 1 to disable query generation + use_async=True, + verbose=True, + query_gen_prompt=QUERY_GEN_PROMPT, + ) logger.info(f"FusionRetriever used with top_k {similarity_top_k}.") return fusion_retriever diff --git a/src/pai_rag/utils/score_utils.py b/src/pai_rag/utils/score_utils.py new file mode 100644 index 00000000..68cc55fb --- /dev/null +++ b/src/pai_rag/utils/score_utils.py @@ -0,0 +1,2 @@ +def normalize_cosine_similarity_score(sim_score): + return round((1 + sim_score) / 2, 6) diff --git a/tests/core/test_rag_application.py b/tests/core/test_rag_application.py index e0f073df..1ecf6f12 100644 --- a/tests/core/test_rag_application.py +++ b/tests/core/test_rag_application.py @@ -74,9 +74,9 @@ async def test_agent(rag_app: RagApplication): assert response.answer == EXPECTED_EMPTY_RESPONSE -async def test_batch_evaluate_retrieval_and_response(rag_app: RagApplication): - _, eval_result = await rag_app.aevaluate_retrieval_and_response(type="all") - print(eval_result) +# async def test_batch_evaluate_retrieval_and_response(rag_app: RagApplication): +# _, eval_res_avg = await rag_app.aevaluate_retrieval_and_response(type="all") +# print('eval_res_avg', eval_res_avg) async def test_load_evaluation_qa_dataset(rag_app: RagApplication): diff --git a/tests/modules/retriever/test_es_tokenizer.py b/tests/modules/retriever/test_es_tokenizer.py index 98b1265d..e336538b 100644 --- a/tests/modules/retriever/test_es_tokenizer.py +++ b/tests/modules/retriever/test_es_tokenizer.py @@ -7,7 +7,9 @@ VectorStoreQuery, VectorStoreQueryResult, ) -from pai_rag.modules.retriever.my_elasticsearch_store import MyElasticsearchStore +from pai_rag.integrations.vector_stores.elasticsearch.my_elasticsearch import ( + MyElasticsearchStore, +) @pytest.fixture() From 57cffd89b324135792ef302eefff6f678d0a0900 Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Thu, 25 Jul 2024 11:52:10 +0800 Subject: [PATCH 50/69] jsonl reader (#124) * jsonl reader * jsonl reader --- src/pai_rag/data/rag_dataloader.py | 2 +- .../integrations/readers/pai_jsonl_reader.py | 34 +++++++++++++++++++ .../modules/datareader/datareader_factory.py | 2 ++ tests/data_readers/test_jsonl_reader.py | 22 ++++++++++++ tests/testdata/data/jsonl_data/price.jsonl | 27 +++++++++++++++ 5 files changed, 86 insertions(+), 1 deletion(-) create mode 100644 src/pai_rag/integrations/readers/pai_jsonl_reader.py create mode 100644 tests/data_readers/test_jsonl_reader.py create mode 100644 tests/testdata/data/jsonl_data/price.jsonl diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index bca5ec4c..ee29ffe9 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -21,7 +21,7 @@ DEFAULT_LOCAL_QA_MODEL_PATH = "./model_repository/qwen_1.8b" DOC_TYPES_DO_NOT_NEED_CHUNKING = set( - [".csv", ".xlsx", ".xls", ".htm", ".html", ".imagelist"] + [".csv", ".xlsx", ".xls", ".htm", ".html", ".imagelist", ".jsonl"] ) diff --git a/src/pai_rag/integrations/readers/pai_jsonl_reader.py b/src/pai_rag/integrations/readers/pai_jsonl_reader.py new file mode 100644 index 00000000..0cac4a21 --- /dev/null +++ b/src/pai_rag/integrations/readers/pai_jsonl_reader.py @@ -0,0 +1,34 @@ +"""Tabular parser-Excel parser. + +Contains parsers for tabular data files. + +""" + +from pathlib import Path +from typing import Any, Dict, List, Optional +from fsspec import AbstractFileSystem +from llama_index.core.readers.base import BaseReader +from llama_index.core.schema import Document + + +class PaiJsonLReader(BaseReader): + """JsonL reader.""" + + def __init__(self, *args: Any, **kwargs: Any) -> None: + """Init params.""" + super().__init__(*args, **kwargs) + + def load_data( + self, + file_path: Path, + extra_info: Optional[Dict] = None, + fs: Optional[AbstractFileSystem] = None, + ) -> List[Document]: + with open(file_path, "r", encoding="utf-8") as file: + json_lines = [line.strip() for line in file.readlines()] + + docs = [] + for i, text in enumerate(json_lines): + extra_info["row_number"] = i + 1 + docs.append(Document(text=text, metadata=extra_info)) + return docs diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 2de917aa..41193516 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -8,6 +8,7 @@ from pai_rag.integrations.readers.html.html_reader import HtmlReader from pai_rag.integrations.readers.pai_csv_reader import PaiPandasCSVReader from pai_rag.integrations.readers.pai_excel_reader import PaiPandasExcelReader +from pai_rag.integrations.readers.pai_jsonl_reader import PaiJsonLReader from llama_index.readers.database import DatabaseReader from llama_index.core import SimpleDirectoryReader import logging @@ -40,6 +41,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): concat_rows=self.reader_config.get("concat_rows", False), ), ".md": MarkdownReader(), + ".jsonl": PaiJsonLReader(), } if self.multi_modal_llm: diff --git a/tests/data_readers/test_jsonl_reader.py b/tests/data_readers/test_jsonl_reader.py new file mode 100644 index 00000000..c0a825ca --- /dev/null +++ b/tests/data_readers/test_jsonl_reader.py @@ -0,0 +1,22 @@ +import os +from pathlib import Path +from pai_rag.core.rag_configuration import RagConfiguration +from pai_rag.modules.module_registry import module_registry +from pai_rag.integrations.readers.pai_jsonl_reader import PaiJsonLReader +from llama_index.core import SimpleDirectoryReader + +BASE_DIR = Path(__file__).parent.parent.parent + + +def test_jsonl_reader(): + config_file = os.path.join(BASE_DIR, "src/pai_rag/config/settings.toml") + config = RagConfiguration.from_file(config_file).get_value() + module_registry.init_modules(config) + directory_reader = SimpleDirectoryReader( + input_dir="tests/testdata/data/jsonl_data", + file_extractor={".jsonl": PaiJsonLReader()}, + ) + documents = directory_reader.load_data() + for doc in documents: + print(doc) + assert len(documents) == 27 diff --git a/tests/testdata/data/jsonl_data/price.jsonl b/tests/testdata/data/jsonl_data/price.jsonl new file mode 100644 index 00000000..9cb55603 --- /dev/null +++ b/tests/testdata/data/jsonl_data/price.jsonl @@ -0,0 +1,27 @@ +{"question": "335块", "answer": "订单报价"} +{"question": "435元", "answer": "订单报价"} +{"question": "435块", "answer": "订单报价"} +{"question": "535元", "answer": "订单报价"} +{"question": "535块", "answer": "订单报价"} +{"question": "635元", "answer": "订单报价"} +{"question": "635块", "answer": "订单报价"} +{"question": "735元", "answer": "订单报价"} +{"question": "735块", "answer": "订单报价"} +{"question": "835元", "answer": "订单报价"} +{"question": "835块", "answer": "订单报价"} +{"question": "935元", "answer": "订单报价"} +{"question": "935块", "answer": "订单报价"} +{"question": "1357元", "answer": "订单报价"} +{"question": "1357块", "answer": "订单报价"} +{"question": "1100元", "answer": "订单报价"} +{"question": "1179块", "answer": "订单报价"} +{"question": "1279元", "answer": "订单报价"} +{"question": "1279块", "answer": "订单报价"} +{"question": "1379元", "answer": "订单报价"} +{"question": "1379块", "answer": "订单报价"} +{"question": "1479元", "answer": "订单报价"} +{"question": "1479块", "answer": "订单报价"} +{"question": "1579元", "answer": "订单报价"} +{"question": "1579块", "answer": "订单报价"} +{"question": "1679元", "answer": "订单报价"} +{"question": "1679块", "answer": "订单报价"} \ No newline at end of file From b4864c457d83c0917182132946940cb2aa9b4548 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Thu, 25 Jul 2024 19:58:00 +0800 Subject: [PATCH 51/69] Support function_calling with booking demo tools (#122) * Add booking system demo for function_calling * Support customized function calling tools * Add testcase for agent and llm * Fix test * Fix async test * Add readme for function calling * Add readme for function calling * Remove ref figs --- README.md | 5 + README_zh.md | 6 + docs/function_calling/readme.md | 179 ++++ src/pai_rag/config/settings.toml | 3 + src/pai_rag/config/settings_fc_demo.toml | 88 ++ .../agent/function_calling/step.py | 420 ++++++++ .../integrations/llms/dashscope/fc_base.py | 992 ++++++++++++++++++ .../integrations/llms/dashscope/utils.py | 30 + src/pai_rag/modules/__init__.py | 2 + src/pai_rag/modules/agent/agent.py | 26 +- .../modules/llm/function_calling_llm.py | 26 + src/pai_rag/modules/module_registry.py | 1 + .../tool/booking_demo/custom_functions.json | 78 ++ .../tool/booking_demo/custom_functions.py | 57 + src/pai_rag/modules/tool/tool.py | 70 +- src/pai_rag/modules/tool/utils.py | 105 ++ tests/modules/agent/test_fc_agent.py | 53 + .../modules/llm/test_function_calling_llm.py | 40 + tests/modules/llm/test_llm.py | 74 ++ 19 files changed, 2193 insertions(+), 62 deletions(-) create mode 100644 docs/function_calling/readme.md create mode 100644 src/pai_rag/config/settings_fc_demo.toml create mode 100644 src/pai_rag/integrations/agent/function_calling/step.py create mode 100644 src/pai_rag/integrations/llms/dashscope/fc_base.py create mode 100644 src/pai_rag/integrations/llms/dashscope/utils.py create mode 100644 src/pai_rag/modules/llm/function_calling_llm.py create mode 100644 src/pai_rag/modules/tool/booking_demo/custom_functions.json create mode 100644 src/pai_rag/modules/tool/booking_demo/custom_functions.py create mode 100644 src/pai_rag/modules/tool/utils.py create mode 100644 tests/modules/agent/test_fc_agent.py create mode 100644 tests/modules/llm/test_function_calling_llm.py create mode 100644 tests/modules/llm/test_llm.py diff --git a/README.md b/README.md index 47c174b7..aaa28747 100644 --- a/README.md +++ b/README.md @@ -293,6 +293,11 @@ curl -X 'POST' http://127.0.0.1:8000/service/evaluate/retrieval curl -X 'POST' http://127.0.0.1:8000/service/evaluate/response ``` +# Function Calling + +You can use function calling tools in PAI-RAG, please refer to the documentation: +[Function Calling Instruction](./docs/function_calling/readme.md) + # Parameter Configuration For more customization options, please refer to the documentation: diff --git a/README_zh.md b/README_zh.md index 6bbdc5aa..c1e4d53c 100644 --- a/README_zh.md +++ b/README_zh.md @@ -275,6 +275,12 @@ curl -X 'POST' http://127.0.0.1:8000/service/evaluate/retrieval curl -X 'POST' http://127.0.0.1:8000/service/evaluate/response ``` +# Function Calling + +您也可以在PAI-RAG中使用function calling功能，请参考文档： + +[Function Calling 使用说明](./docs/function_calling/readme.md) + # 参数配置 如需实现更多个性化配置，请参考文档： diff --git a/docs/function_calling/readme.md b/docs/function_calling/readme.md new file mode 100644 index 00000000..5dc864e1 --- /dev/null +++ b/docs/function_calling/readme.md @@ -0,0 +1,179 @@ +

          +

          Function Calling in PAI-RAG

          +

          + +# 什么是 Function Calling + +OpenAI于23年6月份的更新的 gpt-4-0613 和 gpt-3.5-turbo-0613 版本中为模型添加了Function Calling功能，通过给模型提供一组预定义的函数（Function list）以及用户提问（Query），让大模型自主选择要调用的函数，并向该函数提供所需的输入参数。随后我们就可以在自己的环境中基于模型生成的参数调用该函数，并将结果返回给大模型。 + +ChatGPT的Function Calling功能在发布之后立刻引起了人们的关注，因其简单易用的特性以及规范的输入输出迅速成为模型生态中Function calling的格式规范。后续的具有function calling功能的模型有很多参照了OpenAI的Function Calling格式，其输入的函数列表以及输出的Function Calling及其参数都以JSON格式输出：输入的函数列表中通常包括函数名称、函数功能描述、函数参数等部分，而输出中则按顺序输出所调用的函数名称和其中使用的参数。 + +# 如何定义 Function 及其实现 + +在PAI-RAG中，支持用户调用自定义的functions与外部世界进行更多的交互，如对接会议室预定系统，可以查询预定状态，协助用户提供个人信息来预定所需会议室；如对接数据库系统，调用外部API等。 + +PAI-RAG中的function定义遵循OpenAI的Function Calling格式规范，如下定义了在会议室预定系统中如何查询预订状态的function。 + +```json +[ + { + "type": "function", + "function": { + "name": "get_booking_state", + "description": "用于查询给定会议室ID的预定状态", + "parameters": { + "type": "object", + "properties": { + "room_id": { + "type": "str", + "description": "待查询的会议室ID" + } + }, + "required": ["room_id"] + } + } + } +] +``` + +定义好function之后，需要将对应function name的逻辑进行python实现，如下： + +```python +def get_booking_state(room_id: str) -> str: + try: + return str(bookings[room_id].dict()) + except Exception: + return f"没有找到会议室ID:{room_id}" +``` + +按照如上规范定义好所需的function即可在PAI-RAG中进行调用。 + +# PAI-RAG如何调用demo functions + +我们提供了一组预置的会议室预定系统的demo，在 src/pai_rag/modules/tool/booking_demo 目录下，可以直接以demo启动体验： + +```bash +pai_rag serve -p 8071 -c src/pai_rag/config/settings_fc_demo.toml +``` + +[注意] 在demo中，我们默认使用qwen2-7b-instruct作为function calling的LLM，您也可以根据需要替换为更大的模型，如qwen2-72b-instruct。 + +1. 发送预定会议室的请求 + +```bash +# Query +curl -X 'POST' http://127.0.0.1:8071/service/query/agent -H "Content-Type: application/json" -d '{"question":"我要预定303会议室"}' + +# Response +Added user message to memory: 我要预定303会议室 + +=== Calling Function === +Calling function: create_booking with args: {"room_id": "303"} +=== Function Output === +会议室预订ID:303已创建，但尚未确认。请提供您的姓名(name)、电子邮件(email)、电话(phone)、日期(date)和时间(time)。 + +=== LLM Response === +会议室303的预定已经创建成功，但还需要进一步确认。请您提供以下信息以便完成预定： + +- 姓名（name） +- 电子邮件（email） +- 电话（phone） +- 日期（date） +- 时间（time） + +请将这些信息告诉我，我将为您更新预定详情。 +``` + +2. 完善用户的预定信息 + +```bash +# Query +curl -X 'POST' http://127.0.0.1:8071/service/query/agent -H "Content-Type: application/json" -d '{"question":"我叫玛丽，手机号是1505185"}' + +# Response +Added user message to memory: 我叫玛丽，手机号是1505185 + +=== Calling Function === +Calling function: update_booking with args: {"room_id": "303", "property": "name", "value": "\u739b\u4e3d"} +=== Function Output === +预订ID 303 更新属性信息 name = 玛丽 +=== Calling Function === +Calling function: update_booking with args: {"room_id": "303", "property": "phone", "value": "1505185"} +=== Function Output === +预订ID 303 更新属性信息 phone = 1505185 +=== LLM Response === +您的名字和电话号码已更新： +- 姓名：玛丽 +- 电话：1505185 + +还请提供您的电子邮件地址、预定的日期和时间，以便完成会议室预定的所有必要信息。 +``` + +```bash +# Query +curl -X 'POST' http://127.0.0.1:8071/service/query/agent -H "Content-Type: application/json" -d '{"question":"电子邮件是123@qq.com，预定日期是2024年8月10号，时间是下午6点"}' + +# Response +Added user message to memory: 电子邮件是123@qq.com，预定日期是2024年8月10号，时间是下午6点 + +=== Calling Function === +Calling function: update_booking with args: {"room_id": "303", "property": "email", "value": "123@qq.com"} +=== Function Output === +预订ID 303 更新属性信息 email = 123@qq.com +=== Calling Function === +Calling function: update_booking with args: {"room_id": "303", "property": "date", "value": "2024-08-10"} +=== Function Output === +预订ID 303 更新属性信息 date = 2024-08-10 +=== Calling Function === +Calling function: update_booking with args: {"room_id": "303", "property": "time", "value": "18:00"} +=== Function Output === +预订ID 303 更新属性信息 time = 18:00 + +=== LLM Response === +您的预定信息已经全部更新完毕： +- 姓名：玛丽 +- 电话：1505185 +- 电子邮件：123@qq.com +- 日期：2024年8月10日 +- 时间：下午6点（18:00） + +会议室预定成功。如果您需要进一步的帮助或有其他要求，请随时告诉我。 +``` + +3. 查询会议室预定状态 + +```bash +# Query +curl -X 'POST' http://127.0.0.1:8071/service/query/agent -H "Content-Type: application/json" -d '{"question":"查询303有没有被预定"}' + +# Response +Added user message to memory: 查询303有没有被预定 + +=== Calling Function === +Calling function: get_booking_state with args: {"room_id": "303"} +=== Function Output === +{'name': '玛丽', 'email': '123@qq.com', 'phone': '1505185', 'date': '2024-08-10', 'time': '18:00'} + +=== LLM Response === +会议室303已被预定，预定信息如下： +- 姓名：玛丽 +- 电子邮件：123@qq.com +- 电话：1505185 +- 日期：2024年8月10日 +- 时间：下午6点（18:00） + +如果您需要预定该会议室或其他帮助，请告知我。 +``` + +按照如上所做可以看到我们已经和会议室预定系统建立了连接，并且能够有效且快速处理用户的请求，且工具调用的准确率很高。 + +# PAI-RAG如何调用用户自定义的 functions + +除了我们预置的demo，也支持用户实现任意自己的function函数： + +1. 在 src/pai_rag/modules/tool 目录下新建一个自定义的文件夹，如 user_tool +2. 在 src/pai_rag/modules/tool/user_tool目录下新建两个文件，分别为：custom_functions.json 和 custom_functions.py。并分别按照前面所述实现自己的函数定义和实现逻辑即可。 +3. 修改 src/pai_rag/config/settings_fc_demo.toml 文件的最后一行，将 func_path = "src/pai_rag/modules/tool/booking_demo" 替换为 第一步中的目录名称（src/pai_rag/modules/tool/user_tool）即可。 +4. 指定配置文件来启动项目：pai_rag serve -p 8071 -c src/pai_rag/config/settings_fc_demo.toml + +之后，您就可以进行请求调用来查看function calling的效果。 diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml index 405f45f0..b313fc05 100644 --- a/src/pai_rag/config/settings.toml +++ b/src/pai_rag/config/settings.toml @@ -34,6 +34,9 @@ retrieval = ["mrr", "hit_rate"] response_label = true response = ["Faithfulness", "Answer Relevancy", "Guideline Adherence", "Correctness", "Semantic Similarity"] +[rag.function_calling_llm] +source = "" + [rag.index] persist_path = "localdata/storage" vector_store.type = "FAISS" diff --git a/src/pai_rag/config/settings_fc_demo.toml b/src/pai_rag/config/settings_fc_demo.toml new file mode 100644 index 00000000..46ac0160 --- /dev/null +++ b/src/pai_rag/config/settings_fc_demo.toml @@ -0,0 +1,88 @@ +dynaconf_merge = true + +[rag] +name = "pai_rag" +version = "0.1.1" + +[rag.agent] +type = "function_calling" +system_prompt = "你是一个管理会议室预定的助手，需要协助用户预订会议室。请严格使用输入的工具，不要虚构任何细节。" + +[rag.chat_engine] +type = "CondenseQuestionChatEngine" + +[rag.chat_store] +type = "Local" # [Local, Aliyun-Redis] +host = "Aliyun-Redis host" +password = "Aliyun-Redis user:pwd" +persist_path = "localdata/storage" + +[rag.data_reader] +type = "SimpleDirectoryReader" + +# embedding configurations, source support API: OpenAI,DashScope; and local model:HuggingFace +# if use API, need set OPENAI_API_KEY or DASHSCOPE_API_KEY in ENV, If HuggingFace, need set model_name +# eg. +# source = "HuggingFace" +# model_name = "bge-small-zh-v1.5" +# embed_batch_size = 10 +[rag.embedding] +source = "DashScope" +embed_batch_size = 10 + +[rag.evaluation] +retrieval = ["mrr", "hit_rate"] +response_label = true +response = ["Faithfulness", "Answer Relevancy", "Guideline Adherence", "Correctness", "Semantic Similarity"] + +[rag.function_calling_llm] +source = "DashScope" +name = "qwen2-7b-instruct" + +[rag.index] +persist_path = "localdata/storage" +vector_store.type = "FAISS" + +# llm configurations, source support API: OpenAI,DashScope or PAI-EAS's deployment +# eg. +# source = "PaiEas" +# endpoint = "" +# token = "" +[rag.llm] +source = "DashScope" +name = "qwen-turbo" + +[rag.llm_chat_engine] +type = "SimpleChatEngine" + +[rag.multi_modal_llm] +source = "" + +[rag.node_parser] +type = "Sentence" +chunk_size = 500 +chunk_overlap = 10 + +[rag.postprocessor] +reranker_type = "simple-weighted-reranker" # [simple-weighted-reranker, model-based-reranker] +reranker_model = "bge-reranker-base" # [bge-reranker-base, bge-reranker-large] +keyword_weight = 0.3 +vector_weight = 0.7 +similarity_threshold = 0.5 +top_n = 2 + +[rag.query_engine] +type = "RetrieverQueryEngine" + +[rag.retriever] +similarity_top_k = 3 +retrieval_mode = "hybrid" # [hybrid, embedding, keyword, router] +query_rewrite_n = 1 # set to 1 to disable query generation + +[rag.synthesizer] +type = "SimpleSummarize" +text_qa_template = "参考内容信息如下\n---------------------\n{context_str}\n---------------------根据提供内容而非其他知识回答问题.\n问题: {query_str}\n答案: \n" + +[rag.tool] +type = ["custom"] +func_path = "src/pai_rag/modules/tool/booking_demo" diff --git a/src/pai_rag/integrations/agent/function_calling/step.py b/src/pai_rag/integrations/agent/function_calling/step.py new file mode 100644 index 00000000..9ac71d2d --- /dev/null +++ b/src/pai_rag/integrations/agent/function_calling/step.py @@ -0,0 +1,420 @@ +"""Function calling agent worker.""" + +import json +import logging +import uuid +from typing import Any, List, Optional, cast +import asyncio + +from llama_index.core.agent.types import ( + BaseAgentWorker, + Task, + TaskStep, + TaskStepOutput, +) +from llama_index.core.agent.utils import add_user_step_to_memory +from llama_index.core.base.llms.types import MessageRole +from llama_index.core.callbacks import ( + CallbackManager, + CBEventType, + EventPayload, + trace_method, +) +from llama_index.core.chat_engine.types import ( + AgentChatResponse, +) +from llama_index.core.base.llms.types import ChatMessage +from llama_index.core.llms.function_calling import FunctionCallingLLM, ToolSelection +from llama_index.core.memory import BaseMemory, ChatMemoryBuffer +from llama_index.core.objects.base import ObjectRetriever +from llama_index.core.settings import Settings +from llama_index.core.tools import BaseTool, ToolOutput, adapt_to_async_tool +from llama_index.core.tools.calling import ( + call_tool_with_selection, + acall_tool_with_selection, +) +from llama_index.core.tools.types import AsyncBaseTool + +logger = logging.getLogger(__name__) +logger.setLevel(logging.WARNING) + +DEFAULT_MAX_FUNCTION_CALLS = 5 + + +def get_function_by_name(tools: List[BaseTool], name: str) -> BaseTool: + """Get function by name.""" + name_to_tool = {tool.metadata.name: tool for tool in tools} + if name not in name_to_tool: + raise ValueError(f"Tool with name {name} not found") + return name_to_tool[name] + + +class MyFunctionCallingAgentWorker(BaseAgentWorker): + """Function calling agent worker.""" + + def __init__( + self, + tools: List[BaseTool], + llm: FunctionCallingLLM, + prefix_messages: List[ChatMessage], + verbose: bool = False, + max_function_calls: int = 5, + callback_manager: Optional[CallbackManager] = None, + tool_retriever: Optional[ObjectRetriever[BaseTool]] = None, + allow_parallel_tool_calls: bool = True, + ) -> None: + """Init params.""" + if not llm.metadata.is_function_calling_model: + raise ValueError( + f"Model name {llm.model} does not support function calling API. " + ) + self._llm = llm + self._verbose = verbose + self._max_function_calls = max_function_calls + self.prefix_messages = prefix_messages + self.callback_manager = callback_manager or self._llm.callback_manager + self.allow_parallel_tool_calls = allow_parallel_tool_calls + + if len(tools) > 0 and tool_retriever is not None: + raise ValueError("Cannot specify both tools and tool_retriever") + elif len(tools) > 0: + self._get_tools = lambda _: tools + elif tool_retriever is not None: + tool_retriever_c = cast(ObjectRetriever[BaseTool], tool_retriever) + self._get_tools = lambda message: tool_retriever_c.retrieve(message) + else: + # no tools + self._get_tools = lambda _: [] + + @classmethod + def from_tools( + cls, + tools: Optional[List[BaseTool]] = None, + tool_retriever: Optional[ObjectRetriever[BaseTool]] = None, + llm: Optional[FunctionCallingLLM] = None, + verbose: bool = False, + max_function_calls: int = DEFAULT_MAX_FUNCTION_CALLS, + callback_manager: Optional[CallbackManager] = None, + system_prompt: Optional[str] = None, + prefix_messages: Optional[List[ChatMessage]] = None, + **kwargs: Any, + ) -> "MyFunctionCallingAgentWorker": + """Create an MyFunctionCallingAgentWorker from a list of tools. + + Similar to `from_defaults` in other classes, this method will + infer defaults for a variety of parameters, including the LLM, + if they are not specified. + + """ + tools = tools or [] + + llm = llm or Settings.llm + if callback_manager is not None: + llm.callback_manager = callback_manager + + if system_prompt is not None: + if prefix_messages is not None: + raise ValueError( + "Cannot specify both system_prompt and prefix_messages" + ) + prefix_messages = [ChatMessage(content=system_prompt, role="system")] + + prefix_messages = prefix_messages or [] + + return cls( + tools=tools, + tool_retriever=tool_retriever, + llm=llm, + prefix_messages=prefix_messages, + verbose=verbose, + max_function_calls=max_function_calls, + callback_manager=callback_manager, + **kwargs, + ) + + def initialize_step(self, task: Task, **kwargs: Any) -> TaskStep: + """Initialize step from task.""" + sources: List[ToolOutput] = [] + # temporary memory for new messages + new_memory = ChatMemoryBuffer.from_defaults() + # initialize task state + task_state = { + "sources": sources, + "n_function_calls": 0, + "new_memory": new_memory, + } + task.extra_state.update(task_state) + + return TaskStep( + task_id=task.task_id, + step_id=str(uuid.uuid4()), + input=task.input, + ) + + def get_tools(self, input: str) -> List[AsyncBaseTool]: + """Get tools.""" + return [adapt_to_async_tool(t) for t in self._get_tools(input)] + + def get_all_messages(self, task: Task) -> List[ChatMessage]: + return ( + self.prefix_messages + + task.memory.get() + + task.extra_state["new_memory"].get_all() + ) + + def _call_function( + self, + tools: List[BaseTool], + tool_call: ToolSelection, + memory: BaseMemory, + sources: List[ToolOutput], + verbose: bool = False, + ) -> bool: + tool = get_function_by_name(tools, tool_call.tool_name) + + with self.callback_manager.event( + CBEventType.FUNCTION_CALL, + payload={ + EventPayload.FUNCTION_CALL: json.dumps(tool_call.tool_kwargs), + EventPayload.TOOL: tool.metadata, + }, + ) as event: + tool_output = call_tool_with_selection(tool_call, tools, verbose=verbose) + event.on_end(payload={EventPayload.FUNCTION_OUTPUT: str(tool_output)}) + + function_message = ChatMessage( + content=str(tool_output), + role=MessageRole.TOOL, + additional_kwargs={ + "name": tool_call.tool_name, + "tool_call_id": tool_call.tool_id, + }, + ) + sources.append(tool_output) + memory.put(function_message) + + return tool.metadata.return_direct + + async def _acall_function( + self, + tools: List[BaseTool], + tool_call: ToolSelection, + memory: BaseMemory, + sources: List[ToolOutput], + verbose: bool = False, + ) -> bool: + tool = get_function_by_name(tools, tool_call.tool_name) + + with self.callback_manager.event( + CBEventType.FUNCTION_CALL, + payload={ + EventPayload.FUNCTION_CALL: json.dumps(tool_call.tool_kwargs), + EventPayload.TOOL: tool.metadata, + }, + ) as event: + tool_output = await acall_tool_with_selection( + tool_call, tools, verbose=verbose + ) + event.on_end(payload={EventPayload.FUNCTION_OUTPUT: str(tool_output)}) + + function_message = ChatMessage( + content=str(tool_output), + role=MessageRole.TOOL, + additional_kwargs={ + "name": tool_call.tool_name, + "tool_call_id": tool_call.tool_id, + }, + ) + sources.append(tool_output) + memory.put(function_message) + + return tool.metadata.return_direct + + @trace_method("run_step") + def run_step(self, step: TaskStep, task: Task, **kwargs: Any) -> TaskStepOutput: + """Run step.""" + if step.input is not None: + add_user_step_to_memory( + step, task.extra_state["new_memory"], verbose=self._verbose + ) + # TODO: see if we want to do step-based inputs + tools = self.get_tools(task.input) + # get response and tool call (if exists) + response = self._llm.chat_with_tools( + tools=tools, + user_msg=None, + chat_history=self.get_all_messages(task), + verbose=self._verbose, + allow_parallel_tool_calls=self.allow_parallel_tool_calls, + ) + tool_calls = self._llm.get_tool_calls_from_response( + response, error_on_no_tool_call=False + ) + + if self._verbose and response.message.content: + print(str(response.message.content)) + + if not self.allow_parallel_tool_calls and len(tool_calls) > 1: + raise ValueError( + "Parallel tool calls not supported for synchronous function calling agent" + ) + + # call all tools, gather responses + task.extra_state["new_memory"].put(response.message) + if ( + len(tool_calls) == 0 + or task.extra_state["n_function_calls"] >= self._max_function_calls + ): + # we are done + is_done = True + new_steps = [] + else: + is_done = False + for i, tool_call in enumerate(tool_calls): + # TODO: maybe execute this with multi-threading + return_direct = self._call_function( + tools, + tool_call, + task.extra_state["new_memory"], + task.extra_state["sources"], + verbose=self._verbose, + ) + + task.extra_state["n_function_calls"] += 1 + + # check if any of the tools return directly -- only works if there is one tool call + if i == 0 and return_direct: + is_done = True + response = task.extra_state["sources"][-1].content + break + + # put tool output in sources and memory + new_steps = ( + [ + step.get_next_step( + step_id=str(uuid.uuid4()), + # NOTE: input is unused + input=None, + ) + ] + if not is_done + else [] + ) + # response=str(response.message.content) + agent_response = AgentChatResponse( + response=str(response), sources=task.extra_state["sources"] + ) + + return TaskStepOutput( + output=agent_response, + task_step=step, + is_last=is_done, + next_steps=new_steps, + ) + + @trace_method("run_step") + async def arun_step( + self, step: TaskStep, task: Task, **kwargs: Any + ) -> TaskStepOutput: + """Run step (async).""" + if step.input is not None: + add_user_step_to_memory( + step, task.extra_state["new_memory"], verbose=self._verbose + ) + # TODO: see if we want to do step-based inputs + tools = self.get_tools(task.input) + + # get response and tool call (if exists) + response = await self._llm.achat_with_tools( + tools=tools, + user_msg=None, + chat_history=self.get_all_messages(task), + verbose=self._verbose, + allow_parallel_tool_calls=self.allow_parallel_tool_calls, + ) + tool_calls = self._llm.get_tool_calls_from_response( + response, error_on_no_tool_call=False + ) + + if self._verbose and response.message.content: + print("=== LLM Response ===") + print(str(response.message.content)) + + if not self.allow_parallel_tool_calls and len(tool_calls) > 1: + raise ValueError( + "Parallel tool calls not supported for synchronous function calling agent" + ) + + # call all tools, gather responses + task.extra_state["new_memory"].put(response.message) + if ( + len(tool_calls) == 0 + or task.extra_state["n_function_calls"] >= self._max_function_calls + ): + # we are done + is_done = True + new_steps = [] + else: + is_done = False + tasks = [ + self._acall_function( + tools, + tool_call, + task.extra_state["new_memory"], + task.extra_state["sources"], + verbose=self._verbose, + ) + for tool_call in tool_calls + ] + return_directs = await asyncio.gather(*tasks) + + # check if any of the tools return directly -- only works if there is one tool call + if len(return_directs) == 1 and return_directs[0]: + is_done = True + response = task.extra_state["sources"][-1].content + + task.extra_state["n_function_calls"] += len(tool_calls) + # put tool output in sources and memory + new_steps = ( + [ + step.get_next_step( + step_id=str(uuid.uuid4()), + # NOTE: input is unused + input=None, + ) + ] + if not is_done + else [] + ) + # response=str(response.message.content) + agent_response = AgentChatResponse( + response=str(response), sources=task.extra_state["sources"] + ) + + return TaskStepOutput( + output=agent_response, + task_step=step, + is_last=is_done, + next_steps=new_steps, + ) + + @trace_method("run_step") + def stream_step(self, step: TaskStep, task: Task, **kwargs: Any) -> TaskStepOutput: + """Run step (stream).""" + raise NotImplementedError("Stream not supported for function calling agent") + + @trace_method("run_step") + async def astream_step( + self, step: TaskStep, task: Task, **kwargs: Any + ) -> TaskStepOutput: + """Run step (async stream).""" + raise NotImplementedError("Stream not supported for function calling agent") + + def finalize_task(self, task: Task, **kwargs: Any) -> None: + """Finalize task, after all the steps are completed.""" + # add new messages to memory + task.memory.set( + task.memory.get_all() + task.extra_state["new_memory"].get_all() + ) + # reset new memory + task.extra_state["new_memory"].reset() diff --git a/src/pai_rag/integrations/llms/dashscope/fc_base.py b/src/pai_rag/integrations/llms/dashscope/fc_base.py new file mode 100644 index 00000000..39e56bbe --- /dev/null +++ b/src/pai_rag/integrations/llms/dashscope/fc_base.py @@ -0,0 +1,992 @@ +import functools +import json +from typing import ( + TYPE_CHECKING, + Any, + Awaitable, + Callable, + Dict, + List, + Optional, + Protocol, + Sequence, + Union, + cast, + get_args, + runtime_checkable, +) + +import httpx +import tiktoken +from llama_index.core.base.llms.generic_utils import ( + achat_to_completion_decorator, + acompletion_to_chat_decorator, + astream_chat_to_completion_decorator, + astream_completion_to_chat_decorator, + chat_to_completion_decorator, + completion_to_chat_decorator, + stream_chat_to_completion_decorator, + stream_completion_to_chat_decorator, +) +from llama_index.core.base.llms.types import ( + ChatMessage, + ChatResponse, + ChatResponseAsyncGen, + ChatResponseGen, + CompletionResponse, + CompletionResponseAsyncGen, + CompletionResponseGen, + LLMMetadata, + MessageRole, +) +from llama_index.core.bridge.pydantic import Field, PrivateAttr +from llama_index.core.callbacks import CallbackManager +from llama_index.core.constants import ( + DEFAULT_TEMPERATURE, +) +from llama_index.core.llms.callbacks import ( + llm_chat_callback, + llm_completion_callback, +) +from llama_index.core.llms.function_calling import FunctionCallingLLM +from llama_index.core.llms.llm import ToolSelection +from llama_index.core.types import BaseOutputParser, PydanticProgramMode +from llama_index.llms.openai.utils import ( + OpenAIToolCall, + create_retry_decorator, + from_openai_completion_logprobs, + from_openai_message, + from_openai_token_logprobs, + to_openai_message_dicts, +) + +from openai import AsyncOpenAI +from openai import OpenAI as SyncOpenAI +from openai.types.chat.chat_completion_chunk import ( + ChatCompletionChunk, + ChoiceDelta, + ChoiceDeltaToolCall, +) +from pai_rag.integrations.llms.dashscope.utils import resolve_dashscope_credentials + +if TYPE_CHECKING: + from llama_index.core.chat_engine.types import AgentChatResponse + from llama_index.core.tools.types import BaseTool + + +class DashScopeGenerationModels: + """DashScope Qwen serial models.""" + + QWEN_TURBO = "qwen-turbo" + QWEN_PLUS = "qwen-plus" + QWEN_MAX = "qwen-max" + QWEN_MAX_1201 = "qwen-max-1201" + QWEN_MAX_LONGCONTEXT = "qwen-max-longcontext" + + QWEM1P5_7B_CHAT = "qwen1.5-7b-chat" + QWEM1P5_14B_CHAT = "qwen1.5-14b-chat" + QWEM1P5_32B_CHAT = "qwen1.5-32b-chat" + QWEM1P5_72B_CHAT = "qwen1.5-72b-chat" + QWEM1P5_110B_CHAT = "qwen1.5-110b-chat" + + QWEM2_7B_INSTRUCT = "qwen2-7b-instruct" + QWEM2_72B_INSTRUCT = "qwen2-72b-instruct" + + +DASHSCOPE_MODEL_META = { + DashScopeGenerationModels.QWEN_TURBO: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEN_PLUS: { + "context_window": 1024 * 32, + "num_output": 1024 * 32, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEN_MAX: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEN_MAX_1201: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEN_MAX_LONGCONTEXT: { + "context_window": 1024 * 30, + "num_output": 1024 * 30, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM1P5_7B_CHAT: { + "context_window": 1024 * 8, + "num_output": 1024 * 8, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM1P5_14B_CHAT: { + "context_window": 1024 * 16, + "num_output": 1024 * 16, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM1P5_32B_CHAT: { + "context_window": 1024 * 16, + "num_output": 1024 * 16, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM1P5_72B_CHAT: { + "context_window": 1024 * 16, + "num_output": 1024 * 16, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM1P5_110B_CHAT: { + "context_window": 1024 * 32, + "num_output": 1024 * 32, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM2_7B_INSTRUCT: { + "context_window": 1024 * 32, + "num_output": 1024 * 32, + "is_chat_model": True, + "is_function_calling_model": True, + }, + DashScopeGenerationModels.QWEM2_72B_INSTRUCT: { + "context_window": 1024 * 32, + "num_output": 1024 * 32, + "is_chat_model": True, + "is_function_calling_model": True, + }, +} + + +def llm_retry_decorator(f: Callable[[Any], Any]) -> Callable[[Any], Any]: + @functools.wraps(f) + def wrapper(self, *args: Any, **kwargs: Any) -> Any: + max_retries = getattr(self, "max_retries", 0) + if max_retries <= 0: + return f(self, *args, **kwargs) + + retry = create_retry_decorator( + max_retries=max_retries, + random_exponential=True, + stop_after_delay_seconds=60, + min_seconds=1, + max_seconds=20, + ) + return retry(f)(self, *args, **kwargs) + + return wrapper + + +@runtime_checkable +class Tokenizer(Protocol): + """Tokenizers support an encode function that returns a list of ints.""" + + def encode(self, text: str) -> List[int]: + ... + + +def force_single_tool_call(response: ChatResponse) -> None: + tool_calls = response.message.additional_kwargs.get("tool_calls", []) + if len(tool_calls) > 1: + response.message.additional_kwargs["tool_calls"] = [tool_calls[0]] + + +class MyFCDashScope(FunctionCallingLLM): + """ + DashScope LLM. + + Args: + model: name of the DashScope model to use. + temperature: a float from 0 to 1 controlling randomness in generation; higher will lead to more creative, less deterministic responses. + max_tokens: the maximum number of tokens to generate. + additional_kwargs: Add additional parameters to OpenAI request body. + max_retries: How many times to retry the API call if it fails. + timeout: How long to wait, in seconds, for an API call before failing. + reuse_client: Reuse the DashScope client between requests. When doing anything with large volumes of async API calls, setting this to false can improve stability. + api_key: Your DashScope api key + api_base: The base URL of the API to call + callback_manager: the callback manager is used for observability. + default_headers: override the default headers for API requests. + http_client: pass in your own httpx.Client instance. + async_http_client: pass in your own httpx.AsyncClient instance. + + """ + + model: str = Field( + default=DashScopeGenerationModels.QWEN_MAX, + description="The OpenAI model to use.", + ) + temperature: float = Field( + default=DEFAULT_TEMPERATURE, + description="The temperature to use during generation.", + gte=0.0, + lte=1.0, + ) + max_tokens: Optional[int] = Field( + description="The maximum number of tokens to generate.", + gt=0, + ) + logprobs: Optional[bool] = Field( + description="Whether to return logprobs per token." + ) + top_logprobs: int = Field( + description="The number of top token log probs to return.", + default=0, + gte=0, + lte=20, + ) + additional_kwargs: Dict[str, Any] = Field( + default_factory=dict, description="Additional kwargs for the OpenAI API." + ) + max_retries: int = Field( + default=3, + description="The maximum number of API retries.", + gte=0, + ) + timeout: float = Field( + default=60.0, + description="The timeout, in seconds, for API requests.", + gte=0, + ) + default_headers: Dict[str, str] = Field( + default=None, description="The default headers for API requests." + ) + reuse_client: bool = Field( + default=True, + description=( + "Reuse the OpenAI client between requests. When doing anything with large " + "volumes of async API calls, setting this to false can improve stability." + ), + ) + + api_key: str = Field(default=None, description="The DashScope API key.") + api_base: str = Field(description="The base URL for DashScope API.") + + _client: Optional[SyncOpenAI] = PrivateAttr() + _aclient: Optional[AsyncOpenAI] = PrivateAttr() + _http_client: Optional[httpx.Client] = PrivateAttr() + _async_http_client: Optional[httpx.AsyncClient] = PrivateAttr() + + def __init__( + self, + model: Optional[str] = DashScopeGenerationModels.QWEN_MAX, + temperature: float = DEFAULT_TEMPERATURE, + max_tokens: Optional[int] = None, + additional_kwargs: Optional[Dict[str, Any]] = None, + max_retries: int = 3, + timeout: float = 60.0, + reuse_client: bool = True, + api_key: Optional[str] = None, + api_base: Optional[str] = None, + callback_manager: Optional[CallbackManager] = None, + default_headers: Optional[Dict[str, str]] = None, + http_client: Optional[httpx.Client] = None, + async_http_client: Optional[httpx.AsyncClient] = None, + # base class + system_prompt: Optional[str] = None, + messages_to_prompt: Optional[Callable[[Sequence[ChatMessage]], str]] = None, + completion_to_prompt: Optional[Callable[[str], str]] = None, + pydantic_program_mode: PydanticProgramMode = PydanticProgramMode.DEFAULT, + output_parser: Optional[BaseOutputParser] = None, + **kwargs: Any, + ) -> None: + additional_kwargs = additional_kwargs or {} + + api_key, api_base = resolve_dashscope_credentials( + api_key=api_key, + api_base=api_base, + ) + + super().__init__( + model=model, + temperature=temperature, + max_tokens=max_tokens, + additional_kwargs=additional_kwargs, + max_retries=max_retries, + callback_manager=callback_manager, + api_key=api_key, + api_base=api_base, + timeout=timeout, + reuse_client=reuse_client, + default_headers=default_headers, + system_prompt=system_prompt, + messages_to_prompt=messages_to_prompt, + completion_to_prompt=completion_to_prompt, + pydantic_program_mode=pydantic_program_mode, + output_parser=output_parser, + **kwargs, + ) + + self._client = None + self._aclient = None + self._http_client = http_client + self._async_http_client = async_http_client + + def _get_client(self) -> SyncOpenAI: + if not self.reuse_client: + return SyncOpenAI(**self._get_credential_kwargs()) + + if self._client is None: + self._client = SyncOpenAI(**self._get_credential_kwargs()) + return self._client + + def _get_aclient(self) -> AsyncOpenAI: + if not self.reuse_client: + return AsyncOpenAI(**self._get_credential_kwargs(is_async=True)) + + if self._aclient is None: + self._aclient = AsyncOpenAI(**self._get_credential_kwargs(is_async=True)) + return self._aclient + + def _get_model_name(self) -> str: + model_name = self.model + if "ft-" in model_name: # legacy fine-tuning + model_name = model_name.split(":")[0] + elif model_name.startswith("ft:"): + model_name = model_name.split(":")[1] + return model_name + + @classmethod + def class_name(cls) -> str: + return "fc_dashscope_llm" + + @property + def _tokenizer(self) -> Optional[Tokenizer]: + """ + Get a tokenizer for this model, or None if a tokenizing method is unknown. + + OpenAI can do this using the tiktoken package, subclasses may not have + this convenience. + """ + return tiktoken.encoding_for_model(self._get_model_name()) + + @property + def metadata(self) -> LLMMetadata: + # return LLMMetadata( + # context_window=openai_modelname_to_contextsize(self._get_model_name()), + # num_output=self.max_tokens or -1, + # is_chat_model=is_chat_model(model=self._get_model_name()), + # is_function_calling_model=is_function_calling_model( + # model=self._get_model_name() + # ), + # model_name=self.model, + # ) + DASHSCOPE_MODEL_META[self.model]["num_output"] = ( + self.max_tokens or DASHSCOPE_MODEL_META[self.model]["num_output"] + ) + return LLMMetadata( + model_name=self.model, + **DASHSCOPE_MODEL_META[self.model], + ) + + @llm_chat_callback() + def chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + if self._use_chat_completions(kwargs): + chat_fn = self._chat + else: + chat_fn = completion_to_chat_decorator(self._complete) + return chat_fn(messages, **kwargs) + + @llm_chat_callback() + def stream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseGen: + if self._use_chat_completions(kwargs): + stream_chat_fn = self._stream_chat + else: + stream_chat_fn = stream_completion_to_chat_decorator(self._stream_complete) + return stream_chat_fn(messages, **kwargs) + + @llm_completion_callback() + def complete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponse: + if self._use_chat_completions(kwargs): + complete_fn = chat_to_completion_decorator(self._chat) + else: + complete_fn = self._complete + return complete_fn(prompt, **kwargs) + + @llm_completion_callback() + def stream_complete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponseGen: + if self._use_chat_completions(kwargs): + stream_complete_fn = stream_chat_to_completion_decorator(self._stream_chat) + else: + stream_complete_fn = self._stream_complete + return stream_complete_fn(prompt, **kwargs) + + def _use_chat_completions(self, kwargs: Dict[str, Any]) -> bool: + if "use_chat_completions" in kwargs: + return kwargs["use_chat_completions"] + return self.metadata.is_chat_model + + def _get_credential_kwargs(self, is_async: bool = False) -> Dict[str, Any]: + return { + "api_key": self.api_key, + "base_url": self.api_base, + "max_retries": self.max_retries, + "timeout": self.timeout, + "default_headers": self.default_headers, + "http_client": self._async_http_client if is_async else self._http_client, + } + + def _get_model_kwargs(self, **kwargs: Any) -> Dict[str, Any]: + base_kwargs = {"model": self.model, "temperature": self.temperature, **kwargs} + if self.max_tokens is not None: + # If max_tokens is None, don't include in the payload: + # https://platform.openai.com/docs/api-reference/chat + # https://platform.openai.com/docs/api-reference/completions + base_kwargs["max_tokens"] = self.max_tokens + if self.logprobs is not None and self.logprobs is True: + if self.metadata.is_chat_model: + base_kwargs["logprobs"] = self.logprobs + base_kwargs["top_logprobs"] = self.top_logprobs + else: + base_kwargs["logprobs"] = self.top_logprobs # int in this case + return {**base_kwargs, **self.additional_kwargs} + + @llm_retry_decorator + def _chat(self, messages: Sequence[ChatMessage], **kwargs: Any) -> ChatResponse: + client = self._get_client() + message_dicts = to_openai_message_dicts(messages) + + if self.reuse_client: + response = client.chat.completions.create( + messages=message_dicts, + stream=False, + **self._get_model_kwargs(**kwargs), + ) + else: + with client: + response = client.chat.completions.create( + messages=message_dicts, + stream=False, + **self._get_model_kwargs(**kwargs), + ) + + openai_message = response.choices[0].message + message = from_openai_message(openai_message) + openai_token_logprobs = response.choices[0].logprobs + logprobs = None + if openai_token_logprobs and openai_token_logprobs.content: + logprobs = from_openai_token_logprobs(openai_token_logprobs.content) + + return ChatResponse( + message=message, + raw=response, + logprobs=logprobs, + additional_kwargs=self._get_response_token_counts(response), + ) + + def _update_tool_calls( + self, + tool_calls: List[ChoiceDeltaToolCall], + tool_calls_delta: Optional[List[ChoiceDeltaToolCall]], + ) -> List[ChoiceDeltaToolCall]: + """ + Use the tool_calls_delta objects received from openai stream chunks + to update the running tool_calls object. + + Args: + tool_calls (List[ChoiceDeltaToolCall]): the list of tool calls + tool_calls_delta (ChoiceDeltaToolCall): the delta to update tool_calls + + Returns: + List[ChoiceDeltaToolCall]: the updated tool calls + """ + # openai provides chunks consisting of tool_call deltas one tool at a time + if tool_calls_delta is None: + return tool_calls + + tc_delta = tool_calls_delta[0] + + if len(tool_calls) == 0: + tool_calls.append(tc_delta) + else: + # we need to either update latest tool_call or start a + # new tool_call (i.e., multiple tools in this turn) and + # accumulate that new tool_call with future delta chunks + t = tool_calls[-1] + if t.index != tc_delta.index: + # the start of a new tool call, so append to our running tool_calls list + tool_calls.append(tc_delta) + else: + # not the start of a new tool call, so update last item of tool_calls + + # validations to get passed by mypy + assert t.function is not None + assert tc_delta.function is not None + assert t.function.arguments is not None + assert t.function.name is not None + assert t.id is not None + + t.function.arguments += tc_delta.function.arguments or "" + t.function.name += tc_delta.function.name or "" + t.id += tc_delta.id or "" + return tool_calls + + @llm_retry_decorator + def _stream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseGen: + client = self._get_client() + message_dicts = to_openai_message_dicts(messages) + + def gen() -> ChatResponseGen: + content = "" + tool_calls: List[ChoiceDeltaToolCall] = [] + + is_function = False + for response in client.chat.completions.create( + messages=message_dicts, + stream=True, + **self._get_model_kwargs(**kwargs), + ): + response = cast(ChatCompletionChunk, response) + if len(response.choices) > 0: + delta = response.choices[0].delta + else: + delta = ChoiceDelta() + + # check if this chunk is the start of a function call + if delta.tool_calls: + is_function = True + + # update using deltas + role = delta.role or MessageRole.ASSISTANT + content_delta = delta.content or "" + content += content_delta + + additional_kwargs = {} + if is_function: + tool_calls = self._update_tool_calls(tool_calls, delta.tool_calls) + additional_kwargs["tool_calls"] = tool_calls + + yield ChatResponse( + message=ChatMessage( + role=role, + content=content, + additional_kwargs=additional_kwargs, + ), + delta=content_delta, + raw=response, + additional_kwargs=self._get_response_token_counts(response), + ) + + return gen() + + @llm_retry_decorator + def _complete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + client = self._get_client() + all_kwargs = self._get_model_kwargs(**kwargs) + self._update_max_tokens(all_kwargs, prompt) + + if self.reuse_client: + response = client.completions.create( + prompt=prompt, + stream=False, + **all_kwargs, + ) + else: + with client: + response = client.completions.create( + prompt=prompt, + stream=False, + **all_kwargs, + ) + text = response.choices[0].text + + openai_completion_logprobs = response.choices[0].logprobs + logprobs = None + if openai_completion_logprobs: + logprobs = from_openai_completion_logprobs(openai_completion_logprobs) + + return CompletionResponse( + text=text, + raw=response, + logprobs=logprobs, + additional_kwargs=self._get_response_token_counts(response), + ) + + @llm_retry_decorator + def _stream_complete(self, prompt: str, **kwargs: Any) -> CompletionResponseGen: + client = self._get_client() + all_kwargs = self._get_model_kwargs(**kwargs) + self._update_max_tokens(all_kwargs, prompt) + + def gen() -> CompletionResponseGen: + text = "" + for response in client.completions.create( + prompt=prompt, + stream=True, + **all_kwargs, + ): + if len(response.choices) > 0: + delta = response.choices[0].text + if delta is None: + delta = "" + else: + delta = "" + text += delta + yield CompletionResponse( + delta=delta, + text=text, + raw=response, + additional_kwargs=self._get_response_token_counts(response), + ) + + return gen() + + def _update_max_tokens(self, all_kwargs: Dict[str, Any], prompt: str) -> None: + """Infer max_tokens for the payload, if possible.""" + if self.max_tokens is not None or self._tokenizer is None: + return + # NOTE: non-chat completion endpoint requires max_tokens to be set + num_tokens = len(self._tokenizer.encode(prompt)) + max_tokens = self.metadata.context_window - num_tokens + if max_tokens <= 0: + raise ValueError( + f"The prompt has {num_tokens} tokens, which is too long for" + " the model. Please use a prompt that fits within" + f" {self.metadata.context_window} tokens." + ) + all_kwargs["max_tokens"] = max_tokens + + def _get_response_token_counts(self, raw_response: Any) -> dict: + """Get the token usage reported by the response.""" + if not isinstance(raw_response, dict): + return {} + + usage = raw_response.get("usage", {}) + # NOTE: other model providers that use the OpenAI client may not report usage + if usage is None: + return {} + + return { + "prompt_tokens": usage.get("prompt_tokens", 0), + "completion_tokens": usage.get("completion_tokens", 0), + "total_tokens": usage.get("total_tokens", 0), + } + + # ===== Async Endpoints ===== + @llm_chat_callback() + async def achat( + self, + messages: Sequence[ChatMessage], + **kwargs: Any, + ) -> ChatResponse: + achat_fn: Callable[..., Awaitable[ChatResponse]] + if self._use_chat_completions(kwargs): + achat_fn = self._achat + else: + achat_fn = acompletion_to_chat_decorator(self._acomplete) + return await achat_fn(messages, **kwargs) + + @llm_chat_callback() + async def astream_chat( + self, + messages: Sequence[ChatMessage], + **kwargs: Any, + ) -> ChatResponseAsyncGen: + astream_chat_fn: Callable[..., Awaitable[ChatResponseAsyncGen]] + if self._use_chat_completions(kwargs): + astream_chat_fn = self._astream_chat + else: + astream_chat_fn = astream_completion_to_chat_decorator( + self._astream_complete + ) + return await astream_chat_fn(messages, **kwargs) + + @llm_completion_callback() + async def acomplete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponse: + if self._use_chat_completions(kwargs): + acomplete_fn = achat_to_completion_decorator(self._achat) + else: + acomplete_fn = self._acomplete + return await acomplete_fn(prompt, **kwargs) + + @llm_completion_callback() + async def astream_complete( + self, prompt: str, formatted: bool = False, **kwargs: Any + ) -> CompletionResponseAsyncGen: + if self._use_chat_completions(kwargs): + astream_complete_fn = astream_chat_to_completion_decorator( + self._astream_chat + ) + else: + astream_complete_fn = self._astream_complete + return await astream_complete_fn(prompt, **kwargs) + + @llm_retry_decorator + async def _achat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponse: + aclient = self._get_aclient() + message_dicts = to_openai_message_dicts(messages) + + if self.reuse_client: + response = await aclient.chat.completions.create( + messages=message_dicts, stream=False, **self._get_model_kwargs(**kwargs) + ) + else: + async with aclient: + response = await aclient.chat.completions.create( + messages=message_dicts, + stream=False, + **self._get_model_kwargs(**kwargs), + ) + + openai_message = response.choices[0].message + message = from_openai_message(openai_message) + openai_token_logprobs = response.choices[0].logprobs + logprobs = None + if openai_token_logprobs and openai_token_logprobs.content: + logprobs = from_openai_token_logprobs(openai_token_logprobs.content) + + return ChatResponse( + message=message, + raw=response, + logprobs=logprobs, + additional_kwargs=self._get_response_token_counts(response), + ) + + @llm_retry_decorator + async def _astream_chat( + self, messages: Sequence[ChatMessage], **kwargs: Any + ) -> ChatResponseAsyncGen: + aclient = self._get_aclient() + message_dicts = to_openai_message_dicts(messages) + + async def gen() -> ChatResponseAsyncGen: + content = "" + tool_calls: List[ChoiceDeltaToolCall] = [] + + is_function = False + first_chat_chunk = True + async for response in await aclient.chat.completions.create( + messages=message_dicts, + stream=True, + **self._get_model_kwargs(**kwargs), + ): + response = cast(ChatCompletionChunk, response) + if len(response.choices) > 0: + # check if the first chunk has neither content nor tool_calls + # this happens when 1106 models end up calling multiple tools + if ( + first_chat_chunk + and response.choices[0].delta.content is None + and response.choices[0].delta.tool_calls is None + ): + first_chat_chunk = False + continue + delta = response.choices[0].delta + else: + delta = ChoiceDelta() + first_chat_chunk = False + + # check if this chunk is the start of a function call + if delta.tool_calls: + is_function = True + + # update using deltas + role = delta.role or MessageRole.ASSISTANT + content_delta = delta.content or "" + content += content_delta + + additional_kwargs = {} + if is_function: + tool_calls = self._update_tool_calls(tool_calls, delta.tool_calls) + additional_kwargs["tool_calls"] = tool_calls + + yield ChatResponse( + message=ChatMessage( + role=role, + content=content, + additional_kwargs=additional_kwargs, + ), + delta=content_delta, + raw=response, + additional_kwargs=self._get_response_token_counts(response), + ) + + return gen() + + @llm_retry_decorator + async def _acomplete(self, prompt: str, **kwargs: Any) -> CompletionResponse: + aclient = self._get_aclient() + all_kwargs = self._get_model_kwargs(**kwargs) + self._update_max_tokens(all_kwargs, prompt) + + if self.reuse_client: + response = await aclient.completions.create( + prompt=prompt, + stream=False, + **all_kwargs, + ) + else: + async with aclient: + response = await aclient.completions.create( + prompt=prompt, + stream=False, + **all_kwargs, + ) + + text = response.choices[0].text + openai_completion_logprobs = response.choices[0].logprobs + logprobs = None + if openai_completion_logprobs: + logprobs = from_openai_completion_logprobs(openai_completion_logprobs) + + return CompletionResponse( + text=text, + raw=response, + logprobs=logprobs, + additional_kwargs=self._get_response_token_counts(response), + ) + + @llm_retry_decorator + async def _astream_complete( + self, prompt: str, **kwargs: Any + ) -> CompletionResponseAsyncGen: + aclient = self._get_aclient() + all_kwargs = self._get_model_kwargs(**kwargs) + self._update_max_tokens(all_kwargs, prompt) + + async def gen() -> CompletionResponseAsyncGen: + text = "" + async for response in await aclient.completions.create( + prompt=prompt, + stream=True, + **all_kwargs, + ): + if len(response.choices) > 0: + delta = response.choices[0].text + if delta is None: + delta = "" + else: + delta = "" + text += delta + yield CompletionResponse( + delta=delta, + text=text, + raw=response, + additional_kwargs=self._get_response_token_counts(response), + ) + + return gen() + + def chat_with_tools( + self, + tools: List["BaseTool"], + user_msg: Optional[Union[str, ChatMessage]] = None, + chat_history: Optional[List[ChatMessage]] = None, + verbose: bool = False, + allow_parallel_tool_calls: bool = False, + tool_choice: Union[str, dict] = "auto", + **kwargs: Any, + ) -> ChatResponse: + """Predict and call the tool.""" + from llama_index.agent.openai.utils import resolve_tool_choice + + # misralai uses the same openai tool format + tool_specs = [tool.metadata.to_openai_tool() for tool in tools] + + if isinstance(user_msg, str): + user_msg = ChatMessage(role=MessageRole.USER, content=user_msg) + + messages = chat_history or [] + if user_msg: + messages.append(user_msg) + + response = self.chat( + messages, + tools=tool_specs or None, + tool_choice=resolve_tool_choice(tool_choice) if tool_specs else None, + **kwargs, + ) + if not allow_parallel_tool_calls: + force_single_tool_call(response) + return response + + async def achat_with_tools( + self, + tools: List["BaseTool"], + user_msg: Optional[Union[str, ChatMessage]] = None, + chat_history: Optional[List[ChatMessage]] = None, + verbose: bool = False, + allow_parallel_tool_calls: bool = False, + tool_choice: Union[str, dict] = "auto", + **kwargs: Any, + ) -> ChatResponse: + """Predict and call the tool.""" + from llama_index.agent.openai.utils import resolve_tool_choice + + # misralai uses the same openai tool format + tool_specs = [tool.metadata.to_openai_tool() for tool in tools] + + if isinstance(user_msg, str): + user_msg = ChatMessage(role=MessageRole.USER, content=user_msg) + + messages = chat_history or [] + if user_msg: + messages.append(user_msg) + + response = await self.achat( + messages, + tools=tool_specs or None, + tool_choice=resolve_tool_choice(tool_choice) if tool_specs else None, + **kwargs, + ) + if not allow_parallel_tool_calls: + force_single_tool_call(response) + return response + + def get_tool_calls_from_response( + self, + response: "AgentChatResponse", + error_on_no_tool_call: bool = True, + **kwargs: Any, + ) -> List[ToolSelection]: + """Predict and call the tool.""" + tool_calls = response.message.additional_kwargs.get("tool_calls", []) + + if len(tool_calls) < 1: + if error_on_no_tool_call: + raise ValueError( + f"Expected at least one tool call, but got {len(tool_calls)} tool calls." + ) + else: + return [] + + tool_selections = [] + for tool_call in tool_calls: + if not isinstance(tool_call, get_args(OpenAIToolCall)): + raise ValueError("Invalid tool_call object") + if tool_call.type != "function": + raise ValueError("Invalid tool type. Unsupported by OpenAI") + argument_dict = json.loads(tool_call.function.arguments) + + tool_selections.append( + ToolSelection( + tool_id=tool_call.id, + tool_name=tool_call.function.name, + tool_kwargs=argument_dict, + ) + ) + + return tool_selections diff --git a/src/pai_rag/integrations/llms/dashscope/utils.py b/src/pai_rag/integrations/llms/dashscope/utils.py new file mode 100644 index 00000000..45aa655e --- /dev/null +++ b/src/pai_rag/integrations/llms/dashscope/utils.py @@ -0,0 +1,30 @@ +from typing import Optional, Tuple +import dashscope.version +from llama_index.core.base.llms.generic_utils import get_from_param_or_env +import dashscope + +DEFAULT_DASHSCOPE_API_BASE = "https://dashscope.aliyuncs.com/compatible-mode/v1" +DEFAULT_DASHSCOPE_API_VERSION = "" + + +def resolve_dashscope_credentials( + api_key: Optional[str] = None, + api_base: Optional[str] = None, +) -> Tuple[Optional[str], str, str]: + """ "Resolve OpenAI credentials. + + The order of precedence is: + 1. param + 2. env + 3. openai module + 4. default + """ + # resolve from param or env + api_key = get_from_param_or_env("api_key", api_key, "DASHSCOPE_API_KEY", "") + api_base = get_from_param_or_env("api_base", api_base, "DASHSCOPE_API_BASE", "") + + # resolve from openai module or default + final_api_key = api_key or dashscope.api_key or "" + final_api_base = api_base or DEFAULT_DASHSCOPE_API_BASE + + return final_api_key, str(final_api_base) diff --git a/src/pai_rag/modules/__init__.py b/src/pai_rag/modules/__init__.py index 900dddcf..4f53950c 100644 --- a/src/pai_rag/modules/__init__.py +++ b/src/pai_rag/modules/__init__.py @@ -1,6 +1,7 @@ from pai_rag.modules.embedding.embedding import EmbeddingModule from pai_rag.modules.llm.llm_module import LlmModule from pai_rag.modules.llm.multi_modal_llm import MultiModalLlmModule +from pai_rag.modules.llm.function_calling_llm import FunctionCallingLlmModule from pai_rag.modules.datareader.data_loader import DataLoaderModule from pai_rag.modules.datareader.datareader_factory import DataReaderFactoryModule from pai_rag.modules.index.index import IndexModule @@ -23,6 +24,7 @@ "EmbeddingModule", "MultiModalLlmModule", "LlmModule", + "FunctionCallingLlmModule", "DataLoaderModule", "DataReaderFactoryModule", "IndexModule", diff --git a/src/pai_rag/modules/agent/agent.py b/src/pai_rag/modules/agent/agent.py index 51ea86d5..8e1bd5a0 100644 --- a/src/pai_rag/modules/agent/agent.py +++ b/src/pai_rag/modules/agent/agent.py @@ -1,6 +1,10 @@ import logging from typing import Dict, List, Any +from llama_index.core.llms import ChatMessage from llama_index.core.agent.react import ReActAgent +from pai_rag.integrations.agent.function_calling.step import ( + MyFunctionCallingAgentWorker, +) from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG @@ -10,14 +14,14 @@ class AgentModule(ConfigurableModule): @staticmethod def get_dependencies() -> List[str]: - return ["LlmModule", "ToolModule"] + return ["LlmModule", "FunctionCallingLlmModule", "ToolModule"] def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] - llm = new_params["LlmModule"] func_tool = new_params["ToolModule"] type = config["type"].lower() if type == "react": + llm = new_params["LlmModule"] logger.info( f""" [Parameters][Agent] @@ -25,6 +29,24 @@ def _create_new_instance(self, new_params: Dict[str, Any]): """ ) agent = ReActAgent.from_tools(tools=func_tool, llm=llm, verbose=True) + elif type == "function_calling": + llm = new_params["FunctionCallingLlmModule"] + system_content = config["system_prompt"] + prefix_messages = [ + ChatMessage( + role="system", + content=(system_content), + ) + ] + worker = MyFunctionCallingAgentWorker( + tools=func_tool, + llm=llm, + max_function_calls=10, + prefix_messages=prefix_messages, + allow_parallel_tool_calls=False, + verbose=True, + ) + agent = worker.as_agent() else: raise ValueError(f"Unknown Agent type: '{config['type']}'") diff --git a/src/pai_rag/modules/llm/function_calling_llm.py b/src/pai_rag/modules/llm/function_calling_llm.py new file mode 100644 index 00000000..f71d60cd --- /dev/null +++ b/src/pai_rag/modules/llm/function_calling_llm.py @@ -0,0 +1,26 @@ +import logging +from typing import Dict, List, Any +from pai_rag.integrations.llms.dashscope.fc_base import MyFCDashScope +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG + +logger = logging.getLogger(__name__) + + +class FunctionCallingLlmModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return [] + + def _create_new_instance(self, new_params: Dict[str, Any]): + llm_config = new_params[MODULE_PARAM_CONFIG] + print("llm_config", llm_config) + if llm_config.source.lower() == "dashscope": + model_name = llm_config.get("name", "qwen2-7b-instruct") + logger.info( + f"Using DashScope for Function-Calling-LLM with model: {model_name}." + ) + return MyFCDashScope(model_name=model_name) + else: + logger.info("Don't use Function-Calling-LLM.") + return None diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index 30562687..328b6eb8 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -10,6 +10,7 @@ "EmbeddingModule": "embedding", "LlmModule": "llm", "MultiModalLlmModule": "multi_modal_llm", + "FunctionCallingLlmModule": "function_calling_llm", "NodeParserModule": "node_parser", "RetrieverModule": "retriever", "PostprocessorModule": "postprocessor", diff --git a/src/pai_rag/modules/tool/booking_demo/custom_functions.json b/src/pai_rag/modules/tool/booking_demo/custom_functions.json new file mode 100644 index 00000000..abe06fe8 --- /dev/null +++ b/src/pai_rag/modules/tool/booking_demo/custom_functions.json @@ -0,0 +1,78 @@ +[ + { + "type": "function", + "function": { + "name": "get_booking_state", + "description": "用于查询给定会议室ID的预定状态", + "parameters": { + "type": "object", + "properties": { + "room_id": { + "type": "str", + "description": "待查询的会议室ID" + } + }, + "required": ["room_id"] + } + } + }, + { + "type": "function", + "function": { + "name": "update_booking", + "description": "用于更新预定指定会议室ID(room_id)的预定人信息，包含姓名(name)、电子邮件(email)、电话(phone)、日期(date)和时间(time)。", + "parameters": { + "type": "object", + "properties": { + "room_id": { + "type": "str", + "description": "待更新信息的会议室ID" + }, + "property": { + "type": "str", + "description": "待更新的信息属性，如姓名(name)、电子邮件(email)、电话(phone)、日期(date)和时间(time)." + }, + "value": { + "type": "str", + "description": "待更新的信息属性的值." + } + }, + "required": ["room_id", "property", "value"] + } + } + }, + { + "type": "function", + "function": { + "name": "create_booking", + "description": "预定指定会议室ID的会议室", + "parameters": { + "type": "object", + "properties": { + "room_id": { + "type": "str", + "description": "指定预定的会议室ID" + } + }, + "required": ["room_id"] + } + } + }, + { + "type": "function", + "function": { + "name": "confirm_booking", + "description": "用于确认是否预定指定会议室ID的会议室", + "parameters": { + "type": "object", + "properties": { + "room_id": { + "type": "str", + "description": "需要确认的会议室ID" + } + }, + "required": ["room_id"] + } + } + } +] diff --git a/src/pai_rag/modules/tool/booking_demo/custom_functions.py b/src/pai_rag/modules/tool/booking_demo/custom_functions.py new file mode 100644 index 00000000..dbb2167f --- /dev/null +++ b/src/pai_rag/modules/tool/booking_demo/custom_functions.py @@ -0,0 +1,57 @@ +from typing import Optional +from llama_index.core.bridge.pydantic import BaseModel + +# we will store booking under random IDs +bookings = {} + + +# we will represent and track the state of a booking as a Pydantic model +class Booking(BaseModel): + name: Optional[str] = None + email: Optional[str] = None + phone: Optional[str] = None + date: Optional[str] = None + time: Optional[str] = None + + +def get_booking_state(room_id: str) -> str: + try: + return str(bookings[room_id].dict()) + except Exception: + return f"没有找到会议室ID:{room_id}" + + +def update_booking(room_id: str, property: str, value: str) -> str: + booking = bookings[room_id] + setattr(booking, property, value) + return f"预订ID {room_id} 更新属性信息 {property} = {value}" + + +def create_booking(room_id: str) -> str: + bookings[room_id] = Booking() + # return "Booking created, but not yet confirmed. Please provide your name, email, phone, date, and time." + return f"会议室预订ID:{room_id}已创建，但尚未确认。请提供您的姓名(name)、电子邮件(email)、电话(phone)、日期(date)和时间(time)。" + + +def confirm_booking(room_id: str) -> str: + # """Confirm a booking for a given booking ID.""" + """确认给定会议室预订ID的预订。""" + booking = bookings[room_id] + + if booking.name is None: + raise ValueError("请提供您的名字:name。") + + if booking.email is None: + raise ValueError("请提供您的邮箱:email。") + + if booking.phone is None: + raise ValueError("请提供您的电话号码:phone。") + + if booking.date is None: + raise ValueError("请提供您需要预定的日期:date。") + + if booking.time is None: + raise ValueError("请提供您需要预定的具体时间:time。") + + # return f"Booking ID {user_id} confirmed!" + return f"会议室预订ID {room_id} 信息已全部确认，预定成功！" diff --git a/src/pai_rag/modules/tool/tool.py b/src/pai_rag/modules/tool/tool.py index 4dcf1de4..8ae860dd 100644 --- a/src/pai_rag/modules/tool/tool.py +++ b/src/pai_rag/modules/tool/tool.py @@ -1,18 +1,14 @@ import logging from typing import Dict, List, Any -from llama_index.tools.google import GoogleSearchToolSpec from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG -from pai_rag.modules.tool.load_and_search_tool_spec import LoadAndSearchToolSpec -from llama_index.core.tools import FunctionTool -from pai_rag.modules.tool.default_tool_description_template import ( - DEFAULT_GOOGLE_SEARCH_TOOL_DESP, - DEFAULT_CALCULATE_MULTIPLY, - DEFAULT_CALCULATE_ADD, - DEFAULT_CALCULATE_DIVIDE, - DEFAULT_CALCULATE_SUBTRACT, +from pai_rag.modules.tool.utils import ( + get_google_web_search_tools, + get_calculator_tools, + get_customized_tools, ) + logger = logging.getLogger(__name__) @@ -32,58 +28,12 @@ def _create_new_instance(self, new_params: Dict[str, Any]): ) tools = [] if "googlewebsearch" in type: - tools.extend(self.get_google_web_search_tool()) + tools.extend(get_google_web_search_tools(self.config)) if "calculator" in type: - tools.extend(self.get_calculator_tool()) - - return tools - - def get_google_web_search_tool(self): - google_spec = GoogleSearchToolSpec( - key=self.config.get("google_search_api", None), - engine=self.config.get("google_search_engine", None), - num=10, - ) - return LoadAndSearchToolSpec.from_defaults( - tool=google_spec.to_tool_list()[0], - name="google_search", - description=DEFAULT_GOOGLE_SEARCH_TOOL_DESP, - ).to_tool_list() - - def get_calculator_tool(self): - def multiply(a: int, b: int) -> int: - """Multiply two integers and returns the result integer""" - return a * b - - def add(a: int, b: int) -> int: - """Add two integers and returns the result integer""" - return a + b + tools.extend(get_calculator_tools()) - def divide(a: int, b: int) -> float: - """Divide two integers and returns the result as a float""" - if b == 0: - raise ValueError("Cannot divide by zero.") - return a / b + if "custom" in type: + tools.extend(get_customized_tools(self.config)) - def subtract(a: int, b: int) -> int: - """Subtract the second integer from the first and returns the result integer""" - return a - b - - multiply_tool = FunctionTool.from_defaults( - fn=multiply, - name="calculate_multiply", - description=DEFAULT_CALCULATE_MULTIPLY, - ) - add_tool = FunctionTool.from_defaults( - fn=add, name="calculate_add", description=DEFAULT_CALCULATE_ADD - ) - divide_tool = FunctionTool.from_defaults( - fn=divide, name="calculate_divide", description=DEFAULT_CALCULATE_DIVIDE - ) - subtract_tool = FunctionTool.from_defaults( - fn=subtract, - name="calculate_subtract", - description=DEFAULT_CALCULATE_SUBTRACT, - ) - return [multiply_tool, add_tool, divide_tool, subtract_tool] + return tools diff --git a/src/pai_rag/modules/tool/utils.py b/src/pai_rag/modules/tool/utils.py new file mode 100644 index 00000000..9c877978 --- /dev/null +++ b/src/pai_rag/modules/tool/utils.py @@ -0,0 +1,105 @@ +from llama_index.tools.google import GoogleSearchToolSpec +from pai_rag.modules.tool.load_and_search_tool_spec import LoadAndSearchToolSpec +from llama_index.core.tools import FunctionTool +from llama_index.core.bridge.pydantic import FieldInfo, create_model +import json +import os +import sys +from pai_rag.modules.tool.default_tool_description_template import ( + DEFAULT_GOOGLE_SEARCH_TOOL_DESP, + DEFAULT_CALCULATE_MULTIPLY, + DEFAULT_CALCULATE_ADD, + DEFAULT_CALCULATE_DIVIDE, + DEFAULT_CALCULATE_SUBTRACT, +) + + +def create_tool_fn_schema(name, params): + fields = {} + params_prop = params["properties"] + for param_name in params_prop: + param_type = params_prop[param_name]["type"] + param_desc = params_prop[param_name]["description"] + fields[param_name] = (param_type, FieldInfo(description=param_desc)) + return create_model(name, **fields) # type: ignore + + +def get_google_web_search_tools(config): + google_spec = GoogleSearchToolSpec( + key=config.get("google_search_api", None), + engine=config.get("google_search_engine", None), + num=10, + ) + return LoadAndSearchToolSpec.from_defaults( + tool=google_spec.to_tool_list()[0], + name="google_search", + description=DEFAULT_GOOGLE_SEARCH_TOOL_DESP, + ).to_tool_list() + + +def get_calculator_tools(): + def multiply(a: int, b: int) -> int: + """Multiply two integers and returns the result integer""" + return a * b + + def add(a: int, b: int) -> int: + """Add two integers and returns the result integer""" + return a + b + + def divide(a: int, b: int) -> float: + """Divide two integers and returns the result as a float""" + if b == 0: + raise ValueError("Cannot divide by zero.") + return a / b + + def subtract(a: int, b: int) -> int: + """Subtract the second integer from the first and returns the result integer""" + return a - b + + multiply_tool = FunctionTool.from_defaults( + fn=multiply, + name="calculate_multiply", + description=DEFAULT_CALCULATE_MULTIPLY, + ) + add_tool = FunctionTool.from_defaults( + fn=add, name="calculate_add", description=DEFAULT_CALCULATE_ADD + ) + divide_tool = FunctionTool.from_defaults( + fn=divide, name="calculate_divide", description=DEFAULT_CALCULATE_DIVIDE + ) + subtract_tool = FunctionTool.from_defaults( + fn=subtract, + name="calculate_subtract", + description=DEFAULT_CALCULATE_SUBTRACT, + ) + return [multiply_tool, add_tool, divide_tool, subtract_tool] + + +def get_customized_tools(config): + func_path = config["func_path"] + sys.path.append(func_path) + module = __import__("custom_functions") + tools = [] + # 加载JSON文件 + with open(os.path.join(func_path, "custom_functions.json"), "r") as file: + custom_tools = json.load(file) + + for c_tool in custom_tools: + fn_name = c_tool["function"]["name"] + if hasattr(module, fn_name): + func = getattr(module, fn_name) + fn_schema = create_tool_fn_schema( + fn_name, c_tool["function"]["parameters"] + ) + tool = FunctionTool.from_defaults( + fn=func, + name=fn_name, + fn_schema=fn_schema, + description=c_tool["function"]["description"], + ) + tools.append(tool) + else: + raise ValueError( + f"Function {fn_name} has not been defined in the custom_functions.py, please define it." + ) + return tools diff --git a/tests/modules/agent/test_fc_agent.py b/tests/modules/agent/test_fc_agent.py new file mode 100644 index 00000000..82f27431 --- /dev/null +++ b/tests/modules/agent/test_fc_agent.py @@ -0,0 +1,53 @@ +import os +from pai_rag.integrations.agent.function_calling.step import ( + MyFunctionCallingAgentWorker, +) +from pai_rag.integrations.llms.dashscope.fc_base import MyFCDashScope +from llama_index.core.tools import FunctionTool + + +def multiply(a: int, b: int) -> int: + """Multiple two integers and returns the result integer""" + return a * b + + +multiply_tool = FunctionTool.from_defaults(fn=multiply) + + +def add(a: int, b: int) -> int: + """Add two integers and returns the result integer""" + return a + b + + +add_tool = FunctionTool.from_defaults(fn=add) + +tools = [multiply_tool, add_tool] + +fc_llm = MyFCDashScope( + model_name="qwen2-7b-instruct", api_key=os.getenv("DASHSCOPE_API_KEY") +) +fc_agent_worker = MyFunctionCallingAgentWorker.from_tools( + tools=tools, + llm=fc_llm, + system_prompt="你是一个调用计算插件的计算小助手，请严格使用已知的插件来计算，不允许虚构。", + verbose=True, +) +agent = fc_agent_worker.as_agent() + + +def test_fc_agent_chat(): + response = agent.chat("What is (121 + 2) * 5?") + assert len(response.sources) == 2 + for i, tool_call in enumerate(response.sources): + if i == 0: + # content='123', tool_name='add', raw_input={'args': (), 'kwargs': {'a': 121, 'b': 2} + assert tool_call.content == "123" + assert tool_call.tool_name == "add" + assert tool_call.raw_input["kwargs"]["a"] == 121 + assert tool_call.raw_input["kwargs"]["b"] == 2 + if i == 1: + # content='615', tool_name='multiply', raw_input={'args': (), 'kwargs': {'a': 123, 'b': 5} + assert tool_call.content == "615" + assert tool_call.tool_name == "multiply" + assert tool_call.raw_input["kwargs"]["a"] == 123 + assert tool_call.raw_input["kwargs"]["b"] == 5 diff --git a/tests/modules/llm/test_function_calling_llm.py b/tests/modules/llm/test_function_calling_llm.py new file mode 100644 index 00000000..6d41176e --- /dev/null +++ b/tests/modules/llm/test_function_calling_llm.py @@ -0,0 +1,40 @@ +import os +from pai_rag.integrations.llms.dashscope.fc_base import MyFCDashScope +from llama_index.core.tools import FunctionTool + +fc_llm = MyFCDashScope( + model_name="qwen2-7b-instruct", api_key=os.getenv("DASHSCOPE_API_KEY") +) + + +def multiply(a: int, b: int) -> int: + """Multiple two integers and returns the result integer""" + return a * b + + +multiply_tool = FunctionTool.from_defaults(fn=multiply) + + +def add(a: int, b: int) -> int: + """Add two integers and returns the result integer""" + return a + b + + +add_tool = FunctionTool.from_defaults(fn=add) + +tools = [multiply_tool, add_tool] + + +def test_fc_llm_chat_with_tools(): + response = fc_llm.chat_with_tools(tools=tools, user_msg="What is (121 + 2) * 5?") + tool_calls = fc_llm.get_tool_calls_from_response( + response, error_on_no_tool_call=False + ) + assert len(tool_calls) > 0 + for _, tool_call in enumerate(tool_calls): + if tool_call.tool_name == "add": + assert tool_call.tool_kwargs["a"] == 121 + assert tool_call.tool_kwargs["b"] == 2 + if tool_call.tool_name == "multiply": + assert tool_call.tool_kwargs["a"] == 123 + assert tool_call.tool_kwargs["b"] == 5 diff --git a/tests/modules/llm/test_llm.py b/tests/modules/llm/test_llm.py new file mode 100644 index 00000000..3cbef30b --- /dev/null +++ b/tests/modules/llm/test_llm.py @@ -0,0 +1,74 @@ +import os +from pai_rag.integrations.llms.dashscope.base import MyDashScope +from llama_index.core.base.llms.types import ChatMessage, MessageRole + +llm = MyDashScope(model_name="qwen-turbo", api_key=os.getenv("DASHSCOPE_API_KEY")) + + +def test_dashscope_llm_complete(): + response = llm.complete("What is the result of 15+22?") + assert "37" in response.text + + +def test_dashscope_llm_stream_complete(): + response = "" + stream_response = llm.stream_complete("What is the result of 15+23?") + for token in stream_response: + response += token.delta + assert "38" in response + + +def test_dashscope_llm_chat(): + messages = [ + ChatMessage(role=MessageRole.SYSTEM, content="You are a helpful assistant."), + ChatMessage(role=MessageRole.USER, content="What is the result of 15+24?"), + ] + response = llm.chat(messages) + assert "39" in response.message.content + + +def test_dashscope_llm_stream_chat(): + messages = [ + ChatMessage(role=MessageRole.SYSTEM, content="You are a helpful assistant."), + ChatMessage(role=MessageRole.USER, content="What is the result of 15+25?"), + ] + response = "" + stream_response = llm.stream_chat(messages) + for token in stream_response: + response += token.delta + assert "40" in response + + +async def test_dashscope_llm_acomplete(): + llm = MyDashScope(model_name="qwen-turbo", api_key=os.getenv("DASHSCOPE_API_KEY")) + response = await llm.acomplete("What is the result of 15+22?") + assert "37" in response.text + + +async def test_dashscope_llm_astream_complete(): + response = "" + stream_response = await llm.astream_complete("What is the result of 16+22?") + async for token in stream_response: + response += token.delta + assert "38" in response + + +async def test_dashscope_llm_achat(): + messages = [ + ChatMessage(role=MessageRole.SYSTEM, content="You are a helpful assistant."), + ChatMessage(role=MessageRole.USER, content="What is the result of 17+22?"), + ] + response = await llm.achat(messages) + assert "39" in response.message.content + + +async def test_dashscope_llm_astream_chat(): + messages = [ + ChatMessage(role=MessageRole.SYSTEM, content="You are a helpful assistant."), + ChatMessage(role=MessageRole.USER, content="What is the result of 18+22?"), + ] + response = "" + stream_response = await llm.astream_chat(messages) + async for token in stream_response: + response += token.delta + assert "40" in response From fa271d8a1c5b2dd2debb3eae6a2c1bd01bee00d2 Mon Sep 17 00:00:00 2001 From: aero-xi Date: Fri, 26 Jul 2024 10:25:33 +0800 Subject: [PATCH 52/69] Add nodes enhancement by raptor (#111) * add raptor * add raptor ui support * fix logger bug * add node_enhancement class and modify test * fix node_enhancement setting bug * lint adjustment * poetry lock * fix poetry.lock * fix poetry issues * add a param * add token calculation for Chinese and adjust context_window * update tokenization_qwen * update file_path * merge feature and update poetry.lock * exclude pytest since no vocab file in the test env * exclude qwen.tiktoken * delete assert --- .pre-commit-config.yaml | 2 + data/tokenization/qwen.tiktoken | 151643 +++++++++++++++ poetry.lock | 121 +- pyproject.toml | 1 + pyproject_gpu.toml | 1 + src/pai_rag/app/api/models.py | 1 + src/pai_rag/app/api/query.py | 2 + src/pai_rag/app/web/rag_client.py | 11 +- src/pai_rag/app/web/tabs/upload_tab.py | 22 +- src/pai_rag/app/web/view_model.py | 6 + src/pai_rag/config/settings.toml | 7 +- src/pai_rag/core/rag_application.py | 5 +- src/pai_rag/core/rag_service.py | 7 +- src/pai_rag/data/rag_dataloader.py | 39 +- src/pai_rag/data/rag_datapipeline.py | 22 +- .../integrations/llms/dashscope/base.py | 13 +- .../integrations/nodes/raptor_clusters.py | 186 + .../nodes/raptor_nodes_enhance.py | 194 + src/pai_rag/modules/__init__.py | 2 + src/pai_rag/modules/datareader/data_loader.py | 4 +- .../modules/evaluation/pai_evaluator.py | 25 +- src/pai_rag/modules/module_registry.py | 1 + .../modules/nodesenhance/nodes_enhancement.py | 24 + src/pai_rag/utils/constants.py | 2 + src/pai_rag/utils/prompt_template.py | 5 + src/pai_rag/utils/tokenization_qwen.py | 277 + tests/integrations/test_nodes_enhancement.py | 59 + 27 files changed, 152635 insertions(+), 47 deletions(-) create mode 100644 data/tokenization/qwen.tiktoken create mode 100644 src/pai_rag/integrations/nodes/raptor_clusters.py create mode 100644 src/pai_rag/integrations/nodes/raptor_nodes_enhance.py create mode 100644 src/pai_rag/modules/nodesenhance/nodes_enhancement.py create mode 100644 src/pai_rag/utils/tokenization_qwen.py create mode 100644 tests/integrations/test_nodes_enhancement.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 06c4f9df..65845fb0 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -85,6 +85,8 @@ repos: (\/.*?\.[\w:]+)/poetry.lock args: [ + "--exclude", + "./data/tokenization/qwen.tiktoken", "--ignore-words-list", "astroid,gallary,momento,narl,ot,rouge,nin,gere", ] diff --git a/data/tokenization/qwen.tiktoken b/data/tokenization/qwen.tiktoken new file mode 100644 index 00000000..9b9b0e04 --- /dev/null +++ b/data/tokenization/qwen.tiktoken @@ -0,0 +1,151643 @@ +IQ== 0 +Ig== 1 +Iw== 2 +JA== 3 +JQ== 4 +Jg== 5 +Jw== 6 +KA== 7 +KQ== 8 +Kg== 9 +Kw== 10 +LA== 11 +LQ== 12 +Lg== 13 +Lw== 14 +MA== 15 +MQ== 16 +Mg== 17 +Mw== 18 +NA== 19 +NQ== 20 +Ng== 21 +Nw== 22 +OA== 23 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99389 +5Z+f 99390 +5pep 99391 +55+l6YGT 99392 +6LSf 99393 +5Y2a 99394 +5be0 99395 +5Lqy 99396 +5bGe 99397 +5Lil 99398 +5LqJ 99399 +5a+f 99400 +6Lo= 99401 +57A= 99402 +5bu66K6+ 99403 +5Lqn5Lia 99404 +5ZCD 99405 +5a2p 99406 +5peF 99407 +5qC5 99408 +5p2Q 99409 +5LyX 99410 +6ZqP 99411 +5a6Y 99412 +5bqV 99413 +5b2p 99414 +5a+M 99415 +5rip 99416 +5Y2r 99417 +5Ymn 99418 +55uK 99419 +5oqX 99420 +6LSi 99421 +57qq 99422 +5oY= 99423 +55Sf5rS7 99424 +57qi 99425 +55Sf5Lqn 99426 +6L+c 99427 +6ZKx 99428 +5ZSu 99429 +576k 99430 +54+t 99431 +5qW8 99432 +6YeH 99433 +6Im6 99434 +5bGF 99435 +5YGH 99436 +6LCI 99437 +5pma 99438 +6aw= 99439 +6Iiq 99440 +5a6z 99441 +6Jc= 99442 +540= 99443 +5bU= 99444 +546L 99445 +5bq3 99446 +6I63 99447 +57ut 99448 +5Lqa 99449 +6aOf 99450 +5Y6L 99451 +5oub 99452 +6IyD 99453 +6K64 99454 +5Zu0 99455 +6b0= 99456 +6ZmN 99457 +57qz 99458 +5ZOq 99459 +5pWZ6IKy 99460 +5bey57uP 99461 +5b63 99462 +5p6X 99463 +5a6J5YWo 99464 +6b6Z 99465 +5aSn5a62 99466 +6Z2S 99467 +5bqc 99468 +5rKz 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+55OW 123762 +6ayY 123763 +6Lav 123764 +8Ky6kw== 123765 +572N 123766 +6byx 123767 +6bOg 123768 +6bOh 123769 +6bOj 123770 +54if 123771 +54ia 123772 +54GI 123773 +6Z+C 123774 +57O1 123775 +6Ji8 123776 +56S1 123777 +6bm0 123778 +6LqU 123779 +55qt 123780 +6b6i 123781 +6bOk 123782 +5Lq5 123783 +57Gl 123784 +6by3 123785 +8KuarQ== 123786 +546D 123787 +6Ya+ 123788 +6b2H 123789 +6Ke/ 123790 +6KC8 123791 +16c= 123792 +16Q= 123793 +15s= 123794 +15XXqg== 123795 +16E= 123796 +15nXnQ== 123797 +16Y= 123798 +15I= 123799 +15g= 123800 +15XXqA== 123801 +150= 123802 +15XXnA== 123803 +15Y= 123804 +4LmC 123805 +77o= 123806 +8J+N 123807 +8J+Q 123808 +15nXqA== 123809 +77s= 123810 +8J+R 123811 +8J2Q 123812 +8J+P 123813 +8J+U 123814 +8J+M 123815 +8J+O 123816 +8J+T 123817 +158= 123818 +8J2R 123819 +15XXkw== 123820 +76Y= 123821 +INeV 123822 +15XXkQ== 123823 +4Lit4LiH 123824 +8J2Y 123825 +15nXqg== 123826 +8J2V 123827 +4LiX4Li14LmI 123828 +2KfYpg== 123829 +8J+k 123830 +15XXnw== 123831 +2LHZig== 123832 +15nXnA== 123833 +4Lij4Liw 123834 +4Liy4Lii 123835 +768= 123836 +764= 123837 +4Liy4Lih 123838 +4oc= 123839 +8J+l 123840 +760= 123841 +8J2Z 123842 +15XXoA== 123843 +4b0= 123844 +INeb 123845 +8J+a 123846 +4po= 123847 +76c= 123848 +15HXqA== 123849 +15nXoA== 123850 +4bQ= 123851 +INeX 123852 +4bw= 123853 +8J2X 123854 +INei 123855 +15nXlA== 123856 +44Gj44Gf 123857 +44GT44Go 123858 +4bg= 123859 +2YrZhg== 123860 +44Gq44GE 123861 +2KfYuQ== 123862 +4Lio 123863 +4LmI4LiH 123864 +15nXkw== 123865 +157XqQ== 123866 +4Yg= 123867 +16DXmQ== 123868 +15nXkQ== 123869 +76U= 123870 +8J2T 123871 +INeZ 123872 +15o= 123873 +4Lix4LiH 123874 +4pM= 123875 +76Q= 123876 +INin2YTYow== 123877 +4Liy4LiB 123878 +4LmJ4LiZ 123879 +4LmA4Lij 123880 +15XXnQ== 123881 +4bk= 123882 +4Li2 123883 +15nXpw== 123884 +4LiL 123885 +4LiE4Lij 123886 +4LiY 123887 +4Lix4LiB 123888 +8J+V 123889 +2YjZhg== 123890 +4Lit4Lii 123891 +4oo= 123892 +8J2S 123893 +INin2YTYuQ== 123894 +4Liy4LiZ 123895 +15nXnw== 123896 +2YTZig== 123897 +15nXqQ== 123898 +4Lib4Lij4Liw 123899 +4LmA4Lib 123900 +INeg 123901 +15XXoQ== 123902 +4Lig 123903 +2YXZhg== 123904 +15XXog== 123905 +15XXng== 123906 +4ow= 123907 +8J+n 123908 +4LmH4LiZ 123909 +4LiN 123910 +444= 123911 +4bU= 123912 +INin2YTYsw== 123913 +15XXpw== 123914 +4Lir4Lil 123915 +8J+H 123916 +4o8= 123917 +8J+m 123918 +INeU154= 123919 +2YjYpw== 123920 +INeq 123921 +16jXkA== 123922 +4Lit4LiZ 123923 +4Lip 123924 +4LmI4Lin 123925 +15XXpg== 123926 +7Zc= 123927 +44Q= 123928 +76g= 123929 +77k= 123930 +4o4= 123931 +77I= 123932 +8J2a 123933 +8JA= 123934 +4LiE4Lin 123935 +4Lir4LiZ 123936 +INeo 123937 +2KjZig== 123938 +4Lij4LmM 123939 +2LHYpw== 123940 +2LTYsQ== 123941 +15XXlw== 123942 +15XXpA== 123943 +15XXqQ== 123944 +15XXkg== 123945 +7Z0= 123946 +4ps= 123947 +4LiV4Li0 123948 +4LmA4LiB 123949 +77M= 123950 +77E= 123951 +4LiU4LmJ 123952 +67k= 123953 +76w= 123954 +4b8= 123955 +8J+b 123956 +8J2W 123957 +4LmI4Liy4LiH 123958 +4Li54LmJ 123959 +INeU15A= 123960 +INin2YTYrQ== 123961 +16TXqA== 123962 +2YjZhQ== 123963 +4LmA4Lil 123964 +7ZY= 123965 +15nXog== 123966 +7Ig= 123967 +7ZM= 123968 +8J+F 123969 +4aA= 123970 +4LiE4Lin4Liy4Lih 123971 +4LiI4Liw 123972 +16DXlA== 123973 +INen 123974 +4Lif 123975 +4LmJ4LiH 123976 +4Lir4Lih 123977 +2KrZhQ== 123978 +15zXmQ== 123979 +2YrYrw== 123980 +4LmI4LiZ 123981 +15fXqA== 123982 +16nXqA== 123983 +4LmA4LiX 123984 +157XqA== 123985 +65Y= 123986 +2LnZhA== 123987 +157Xog== 123988 +4rI= 123989 +15zXlA== 123990 +INek 123991 +4Lit4LiB 123992 +2LPZhA== 123993 +15nXng== 123994 +2YLZig== 123995 +7Y4= 123996 +2KrYrQ== 123997 +15nXoQ== 123998 +15nXlw== 123999 +7Zs= 124000 +77A= 124001 +4r0= 124002 +4Yk= 124003 +4Yo= 124004 +4ag= 124005 +2YfYpw== 124006 +INec15Q= 124007 +15XXkA== 124008 +2YXYpw== 124009 +4LmJ4Lit4LiH 124010 +2LHYqA== 124011 +INin2YTYrA== 124012 +157Xkw== 124013 +2YXZhA== 124014 +2KrYsQ== 124015 +4LmA4LiU 124016 +16fXqA== 124017 +7YU= 124018 +7Lw= 124019 +6r8= 124020 +44g= 124021 +4ZA= 124022 +8J+X 124023 +6qY= 124024 +4Ys= 124025 +8J2U 124026 +4LmA4Lib4LmH4LiZ 124027 +4LmD4Lir 124028 +4Lih4Liy 124029 +4Lin4LmI4Liy 124030 +4Lih4Li1 124031 +4Li14LmJ 124032 +4LmE4Lih4LmI 124033 +2YbZig== 124034 +2KQ= 124035 +4Lij4Liy 124036 +15XXmQ== 124037 +44KI44GG 124038 +4Li04LiU 124039 +15nXpA== 124040 +15fXnA== 124041 +2YLYrw== 124042 +4LmA4Liq 124043 +15nXmA== 124044 +4LiB4Lil 124045 +16jXmw== 124046 +15XXmw== 124047 +15nXmw== 124048 +64g= 124049 +64M= 124050 +8J+W 124051 +4YU= 124052 +4rw= 124053 +44k= 124054 +4LmE4LiU4LmJ 124055 +16rXmQ== 124056 +15nXkA== 124057 +INin2YTYpQ== 124058 +4Lig4Liy 124059 +4Lij4Li0 124060 +2YLYqQ== 124061 +2K3Yrw== 124062 +6rs= 124063 +7LE= 124064 +16rXlw== 124065 +7Lo= 124066 +4os= 124067 +4YQ= 124068 +4b4= 124069 +4rU= 124070 +4r4= 124071 +INmI2KfZhA== 124072 +16DXlQ== 124073 +2YA= 124074 +2YrYpw== 124075 +4LiB4LmH 124076 +157XlA== 124077 +44GE44KL 124078 +2LnYrw== 124079 +INin2YTZhg== 124080 +INeU16k= 124081 +2KY= 124082 +4Lix4LmJ4LiH 124083 +4Lij4Lix4Lia 124084 +2YjZgg== 124085 +44Gn44GN 124086 +4LmA4Lie 124087 +15vXnA== 124088 +15jXqA== 124089 +4Lix4LiU 124090 +4Lit4Liy 124091 +7KI= 124092 +4Lit4Lia 124093 +4LiV4Lij 124094 +4LmA4LiK 124095 +7JQ= 124096 +44GX44G+ 124097 +64E= 124098 +65U= 124099 +8J+Z 124100 +4pI= 124101 +4bY= 124102 +4LmB4Lil 124103 +2YbYpw== 124104 +4LmD4Lir4LmJ 124105 +4LmE4Lib 124106 +16M= 124107 +4Lix4Lin 124108 +4Liy4LiH 124109 +15PXqA== 124110 +15HXnA== 124111 +16TXmQ== 124112 +INeT 124113 +INin2YTZgQ== 124114 +4LmA4LiC 124115 +16nXlA== 124116 +15DXqA== 124117 +66w= 124118 +44Gr44Gq 124119 +0YDQvg== 124120 +4Lin4Li0 124121 +2YXYsQ== 124122 +15DXqg== 124123 +2YPYsQ== 124124 +2LPYqA== 124125 +2YbYqg== 124126 +44GX44GE 124127 +2KfYrA== 124128 +4Lit4Lij4LmM 124129 +2YPZhA== 124130 +2LPZhQ== 124131 +4Liq4Li0 124132 +15nXpg== 124133 +650= 124134 +7Zw= 124135 +7Ik= 124136 +4YY= 124137 +2YfZhQ== 124138 +4LiZ4Li14LmJ 124139 +44GC44KL 124140 +44GE44Gm 124141 +2LPZig== 124142 +15zXkA== 124143 +2K/YsQ== 124144 +44Ga 124145 +2YjYrA== 124146 +INin2YTYrg== 124147 +2LXYsQ== 124148 +7Y8= 124149 +4LmJ4Liy4LiH 124150 +4Li44LiU 124151 +15XXmA== 124152 +15HXog== 124153 +7YY= 124154 +4LiK4Liy 124155 +4Lij4Lih 124156 +16nXng== 124157 +157XoQ== 124158 +6rQ= 124159 +7LQ= 124160 +65w= 124161 +7L8= 124162 +7Kk= 124163 +67s= 124164 +4qQ= 124165 +8J+G 124166 +4Yw= 124167 +4ZU= 124168 +2LDYpw== 124169 +4LiX4Liz 124170 +4LiV4LmI 124171 +INin2YTZgg== 124172 +2YTZgw== 124173 +4Li54LmI 124174 +4LiE4Li4 124175 +2YrZhQ== 124176 +16DXmded 124177 +4Li34LmI4Lit 124178 +2YjYuQ== 124179 +44KH 124180 +2KfZgg== 124181 +INeR16I= 124182 +4LmA4Lih 124183 +2KzZhQ== 124184 +4bur 124185 +44GT44Go44GM 124186 +2KjYrw== 124187 +15XXlA== 124188 +16nXnA== 124189 +2YfYsQ== 124190 +4LmA4LiZ 124191 +44G5 124192 +7Ys= 124193 +7Ls= 124194 +7L0= 124195 +660= 124196 +7Iw= 124197 +7YA= 124198 +64w= 124199 +67o= 124200 +44o= 124201 +4LmD4LiZ 124202 +INeS 124203 +4LmG 124204 +4LiI4Liy4LiB 124205 +4Lin4Lii 124206 +4LmD4LiK 124207 +4LiH4Liy4LiZ 124208 +INin2YTYtA== 124209 +2KfYrQ== 124210 +4LmJ4Liy4LiZ 124211 +4Li34LmI4Lit4LiH 124212 +15DXmQ== 124213 +2KjZhA== 124214 +44Go5oCd 124215 +16DXoQ== 124216 +44G+44Gb 124217 +2YPZhg== 124218 +16LXqA== 124219 +INin2YTYrw== 124220 +16nXqg== 124221 +7Z4= 124222 +2YXYsw== 124223 +2LXZhA== 124224 +15XXoNeU 124225 +2KfYsdip 124226 +2YTZhQ== 124227 +4Liq4Lih 124228 +2KPZhg== 124229 +16rXqA== 124230 +15DXng== 124231 +2LnYqA== 124232 +2K7Yqg== 124233 +44KD 124234 +7KE= 124235 +7KM= 124236 +0LjQstCw 124237 +4Liq4Lix 124238 +4Li24LiB 124239 +7Lg= 124240 +64Y= 124241 +0LDQu9GM0L0= 124242 +7LM= 124243 +7I0= 124244 +6rw= 124245 +6r0= 124246 +7I8= 124247 +44w= 124248 +448= 124249 +76k= 124250 +6qo= 124251 +4Y4= 124252 +INeW 124253 +4LiB4Lix4LiZ 124254 +15nXlQ== 124255 +4LiE4LiZ 124256 +16DXldeq 124257 +4Lic4Li54LmJ 124258 +4LmD4LiI 124259 +44GE44Gf 124260 +2YHYsQ== 124261 +15jXmQ== 124262 +16bXmQ== 124263 +44KC44Gu 124264 +INin2YTYtQ== 124265 +44G+44Gb44KT 124266 +2K/YqQ== 124267 +15HXmQ== 124268 +INin2YTYsQ== 124269 +INee15A= 124270 +4Liq4Liz 124271 +4LmA4Lir 124272 +2LnYsQ== 124273 +44Gq44GP 124274 +4LiB4Lij4Liw 124275 +15HXkw== 124276 +4LmA4LiI 124277 +15nXmg== 124278 +15fXmQ== 124279 +2YrYuQ== 124280 +16nXkQ== 124281 +2YbYqQ== 124282 +2YjYtg== 124283 +2YTZgQ== 124284 +2YDZgA== 124285 +16TXog== 124286 +7Yg= 124287 +157Xpw== 124288 +4LiQ 124289 +2K3YqQ== 124290 +2KfYtQ== 124291 +0YvQstCw 124292 +4LiE4Lih 124293 +4Lin4Lix 124294 +4Lib4Lil 124295 +7J8= 124296 +7Zo= 124297 +67Q= 124298 +65E= 124299 +64k= 124300 +64c= 124301 +7Kg= 124302 +67E= 124303 +644= 124304 +4qw= 124305 +4aU= 124306 +4Zc= 124307 +4Zs= 124308 +4Y0= 124309 +xak= 124310 +4LiU4Li1 124311 +w7Rp 124312 +INeh 124313 +15zXlQ== 124314 +4budaQ== 124315 +4LiE4Li44LiT 124316 +w6J5 124317 +4LiZ4Liy 124318 +15fXkw== 124319 +15PXmQ== 124320 +4Lir4Liy 124321 +2KzZhA== 124322 +4LmA4Lin 124323 +44KH44GG 124324 +2YXYqQ== 124325 +INin2YTZgw== 124326 +INeU16I= 124327 +2KzYsQ== 124328 +15bXqA== 124329 +2KfYtw== 124330 +15vXqg== 124331 +15XXoNeZ150= 124332 +2K3ZhQ== 124333 +6rY= 124334 +2LHZgw== 124335 +INec16I= 124336 +15XXlg== 124337 +4Liq4Lij 124338 +16bXnA== 124339 +2KI= 124340 +2KfYs9iq 124341 +4LmI4Lih 124342 +2K7YsQ== 124343 +16bXog== 124344 +15nXqNeV16o= 124345 +2KfYr9ip 124346 +2LTYp9ix 124347 +157Xlw== 124348 +7ZI= 124349 +4LmA4Lij4Li14Lii 124350 +15fXpw== 124351 +2KfYqw== 124352 +4Lij4LiH 124353 +4LmA4LiV 124354 +4LiI4Liz 124355 +4Lid 124356 +4LmI4Liy4Lii 124357 +4LiE4Lil 124358 +2YLZiA== 124359 +0LjRh9C10YHQug== 124360 +4LiT4LmM 124361 +4Lix4Lii 124362 +2YXYuQ== 124363 +66g= 124364 +678= 124365 +664= 124366 +77Q= 124367 +7KU= 124368 +7Ks= 124369 +67U= 124370 +4aE= 124371 +4o0= 124372 +8JM= 124373 +4rA= 124374 +4LiC4Lit4LiH 124375 +2Ys= 124376 +4LiB4Lix4Lia 124377 +44Gu44Gn 124378 +4LmJ4Lin 124379 +4Lit4Lii4LmI4Liy4LiH 124380 +44Gt 124381 +4buHdA== 124382 +4LiV4LmJ4Lit4LiH 124383 +157XmQ== 124384 +4LmB4Lia 124385 +15LXqA== 124386 +2YjZgQ== 124387 +2YLZhA== 124388 +4Lig4Liy4Lie 124389 +16jXmQ== 124390 +4Lil4Liy 124391 +2YrYsw== 124392 +INem 124393 +2YrZgQ== 124394 +INeY 124395 +4Lic4Lil 124396 +w6FuZw== 124397 +4Lij4Lin 124398 +INee16k= 124399 +15DXldeq 124400 +15bXlA== 124401 +4Li54LiB 124402 +4LiZ4Lix4LiB 124403 +2KfZhtmK 124404 +2K/Ypw== 124405 +44Gz 124406 +15vXnw== 124407 +44KJ44KM 124408 +44KM44Gw 124409 +16rXpw== 124410 +w7pj 124411 +2YjYsg== 124412 +15nXqNeU 124413 +IG5naA== 124414 +w6FuaA== 124415 +INeV15A= 124416 +4buF 124417 +4Liq4Li44LiU 124418 +642w 124419 +2KfYtg== 124420 +2KfZhNmK 124421 +2KjYp9ix 124422 +2LnZhQ== 124423 +4Lia4Liy 124424 +2KrYrA== 124425 +4Lie4Lij 124426 +15XXqNeU 124427 +4bqjbmc= 124428 +2K7ZhA== 124429 +4LiJ 124430 +4bqvYw== 124431 +16nXmded 124432 +7ZQ= 124433 +2YHYsw== 124434 +15nXkg== 124435 +0L/RgA== 124436 +INin2YTYqw== 124437 +2LPYtw== 124438 +4Lij4Li54LmJ 124439 +4Li14LmI4Lii 124440 +4Lit4LiU 124441 +44Gq44KK 124442 +15LXkw== 124443 +44GE44G+44GX44Gf 124444 +16HXpw== 124445 +2K7YtQ== 124446 +bGHFnw== 124447 +0LXQvdC90L4= 124448 +2KjYrQ== 124449 +4Liq4LiZ 124450 +4Liu 124451 +16jXkNep 124452 +2YXZiA== 124453 +2K/Zitiv 124454 +4Lip4Liy 124455 +15XXmg== 124456 +44On44Oz 124457 +4LiV4Li4 124458 +IOq1 124459 +INGB0LLQvg== 124460 +16bXkQ== 124461 +4Lit4Lih 124462 +4Lib4Lij 124463 +2KrYuQ== 124464 +15TXqg== 124465 +2KfZhdmE 124466 +157XoA== 124467 +57aa 124468 +4Lik 124469 +7Y0= 124470 +65g= 124471 +66Q= 124472 +7JE= 124473 +4rQ= 124474 +44s= 124475 +INio2KfZhA== 124476 +4buBdQ== 124477 +INin2YTZhA== 124478 +4LiV4Lix4Lin 124479 +2LDZhw== 124480 +4Li24LiH 124481 +4LmD4LiK4LmJ 124482 +4buTbmc= 124483 +4LiZ4Lix 124484 +4Lih4Liy4LiB 124485 +44Of 124486 +157XlQ== 124487 +4LiX4Lii 124488 +4buZaQ== 124489 +4bqx 124490 +4bqjbw== 124491 +4LmC4LiU 124492 +15DXnA== 124493 +4Liq4Liy4Lih 124494 +2YjYqA== 124495 +4LiX4Li4 124496 +4Lii4Lix4LiH 124497 +16LXqg== 124498 +15XXoNeV16o= 124499 +4LiC4Li2 124500 +4LiC4Li24LmJ4LiZ 124501 +4LiB4LmI 124502 +4bqr 124503 +4buRYw== 124504 +44GX44KH44GG 124505 +4buLY2g= 124506 +INeQ15XXqg== 124507 +INep15A= 124508 +15vXldec 124509 +4buZYw== 124510 +2LnYqQ== 124511 +4LiX4Li1 124512 +4LmA4Lit 124513 +2YPYqg== 124514 +44G7 124515 +4bq7 124516 +7JeF 124517 +4Lit4Lit4LiB 124518 +2KfZhtiq 124519 +4LmE4Lij 124520 +INeQ15fXqA== 124521 +2LfYsQ== 124522 +2YbYrw== 124523 +4Li34LmJ4Lit 124524 +2LfZhA== 124525 +15DXlA== 124526 +dXnDqm4= 124527 +7ZaJ 124528 +15HXlA== 124529 +4LiE4LmI 124530 +4LiK4LmI4Lin 124531 +44GC44KK44G+44GZ 124532 +2YrYqA== 124533 +16fXnA== 124534 +44OZ 124535 +xKk= 124536 +2LPYsQ== 124537 +4Liy4Lin 124538 +44Kx 124539 +4Lia4Lij4Li0 124540 +16jXkg== 124541 +4buDdQ== 124542 +2K3Yqg== 124543 +15XXnteZ 124544 +2KjZhg== 124545 +6rWQ 124546 +xJ91 124547 +44Gq44KT 124548 +15HXpw== 124549 +INek16g= 124550 +4bqvbg== 124551 +2K3ZhA== 124552 +15HXlw== 124553 +4bqldQ== 124554 +15HXldeT 124555 +44Ov 124556 +INec16c= 124557 +4Lix4LiN 124558 +4Lie4Li0 124559 +15fXlA== 124560 +15bXmw== 124561 +44O844Og 124562 +0YLQtdC70Yw= 124563 +157XmdeT 124564 +2YrYrg== 124565 +4bqz 124566 +2KrYtQ== 124567 +4LiY4Li0 124568 +6L68 124569 +7JM= 124570 +2YPYqQ== 124571 +2YLYqA== 124572 +4LiE4LmM 124573 +4LmJ4Liy4Lii 124574 +4LiT4Liw 124575 +4Liy4Liw 124576 +65I= 124577 +6r4= 124578 +67c= 124579 +7Ic= 124580 +6ro= 124581 +7IE= 124582 +64A= 124583 +7L4= 124584 +670= 124585 +65o= 124586 +7K0= 124587 +7I4= 124588 +4ZE= 124589 +65c= 124590 +6pI= 124591 +4KE= 124592 +4Kw= 124593 +8JCM 124594 +44c= 124595 +8J2E 124596 +INec15A= 124597 +44Go44GE44GG 124598 +IG5oaQ== 124599 +15nXldeq 124600 +INep15Q= 124601 +4LmB4Lil4LmJ4Lin 124602 +xrDhu5tj 124603 +4LiU4LmJ4Lin4Lii 124604 +4LiX4Liy4LiH 124605 +16DXqg== 124606 +16TXqg== 124607 +4LmB4LiV4LmI 124608 +xrBuZw== 124609 +4Lit4Lii4Li54LmI 124610 +4LmJ4Liz 124611 +INeQ15w= 124612 +2YPZhQ== 124613 +4bqlcA== 124614 +4Lil4LiH 124615 +44Gf44KB 124616 +15LXnA== 124617 +4Lir4Lij 124618 +INGA0LU= 124619 +4LmA4LiC4LmJ4Liy 124620 +2YLYsQ== 124621 +INeU16E= 124622 +2YjZig== 124623 +4Liq4Liy4Lih4Liy4Lij 124624 +4Liq4Liy4Lih4Liy4Lij4LiW 124625 +xINu 124626 +4Lit4Li1 124627 +16TXlQ== 124628 +15nXoNeV 124629 +4Lin4Lix4LiZ 124630 +4bq3Yw== 124631 +7ZWZ 124632 +157Xqg== 124633 +w6p1 124634 +4bq5 124635 +2YHZig== 124636 +157Xpg== 124637 +4LiE4Liy 124638 +44Gd44GG 124639 +44CF 124640 +2KfYsg== 124641 +2KfZhw== 124642 +16jXmded 124643 +4bqlbg== 124644 +4Lir4Liy4Lij 124645 +4bqhdA== 124646 +2YbZhw== 124647 +4LmA4LiE4Lij 124648 +2KzZhw== 124649 +15vXmQ== 124650 +4bqvdA== 124651 +4LiE4LmJ4Liy 124652 +2LHYqQ== 124653 +44OP 124654 +2YPZiNmG 124655 +4bupbmc= 124656 +IOyasA== 124657 +4Lii4LmM 124658 +4LmI4Lin4LiZ 124659 +4LiB4Liz 124660 +2KvYsQ== 124661 +0YHQuA== 124662 +INin2YTYtw== 124663 +INeU16Y= 124664 +INi3 124665 +INin2YTZiA== 124666 +6rmM 124667 +2K3Zig== 124668 +2KfYsdin2Ko= 124669 +4LmA4LiL 124670 +2KjYpw== 124671 +0LPRgA== 124672 +4Lij4Li1 124673 +4Li34Lit4LiZ 124674 +2LnYqg== 124675 +2YLYp9mE 124676 +2K/ZhQ== 124677 +2KE= 124678 +INee16c= 124679 +15PXmded 124680 +16LXnA== 124681 +44GS 124682 +64uY 124683 +16LXlA== 124684 +IOyWtA== 124685 +0YHRjA== 124686 +2YLYtw== 124687 +44Ob 124688 +6ICD44GI 124689 +4LmB4LiZ 124690 +2YjYp9iq 124691 +w6J1 124692 +IOyCrOue 124693 +4Lir4Lin 124694 +INin2YTYo9mF 124695 +INeU157XqQ== 124696 +2KjZiA== 124697 +4LiK4LiZ 124698 +44KT44Gn44GZ 124699 +4Lin4LiZ 124700 +4LiB4Lij4Lij4Lih 124701 +157XldeT 124702 +2YPYp9mG 124703 +15XXow== 124704 +0L7Qu9C+0LM= 124705 +2KrZhg== 124706 +4LiV4LmM 124707 +6rKD 124708 +16jXmA== 124709 +4burbmc= 124710 +15XXkdeU 124711 +2YXYrQ== 124712 +INCn 124713 +16TXkg== 124714 +4Liq4LiW 124715 +44GL44KK 124716 +xLFuxLF6 124717 +4LmA4Lii 124718 +44O844Oz 124719 +44GK44KK 124720 +16TXqQ== 124721 +4Li04LiV 124722 +2LfZhg== 124723 +15nXqteZ 124724 +15DXoA== 124725 +w6dlaw== 124726 +7Ko= 124727 +157XkQ== 124728 +4Lio4Liy 124729 +44K544K/ 124730 +4Lia4Li4 124731 +15PXkdeo 124732 +44GE44GP 124733 +4Liq4Liw 124734 +4LmA4Lir4Lil 124735 +4Li04LiH 124736 +4Lie4Lix4LiZ 124737 +44GE44Gf44Gg 124738 +44KC44KJ 124739 +4LmJ4Lih 124740 +44GT44Go44GM44Gn44GN 124741 +4Liy4Lij4LmM 124742 +4Li44LiH 124743 +7ZE= 124744 +7K8= 124745 +67w= 124746 +7YI= 124747 +7Lc= 124748 +6qE= 124749 +4Y8= 124750 +4ZI= 124751 +8J2c 124752 +4ak= 124753 +8J+E 124754 +8JCk 124755 +INep15w= 124756 +INee15Q= 124757 +4LmB4Lil4Liw 124758 +INeb15w= 124759 +4bq9 124760 +4buZbmc= 124761 +2LDZig== 124762 +0LvQtQ== 124763 +16U= 124764 +44Gq44Gp 124765 +INmI2KM= 124766 +4Lir4LiZ4LmJ4Liy 124767 +44G+44Gn 124768 +4LiV4LmI4Lit 124769 +4LiX4Lix4LmJ4LiH 124770 +44Gg44GR 124771 +4LmB4Lia4Lia 124772 +4LmA4Lij4Liy 124773 +16TXnA== 124774 +44Gf44GE 124775 +4LmA4Lil4Lii 124776 +44Gj44Gm44GE44KL 124777 +4bq/cA== 124778 +4Li24LmI4LiH 124779 +6rSA 124780 +6rOE 124781 +15vXlQ== 124782 +4LmA4Lij4Li34LmI4Lit4LiH 124783 +16fXmQ== 124784 +6rWt 124785 +16TXoQ== 124786 +2KrZig== 124787 +44OE 124788 +INeU15c= 124789 +0LPQuA== 124790 +16jXkNec 124791 +157XnA== 124792 +INij2Yo= 124793 +INi52YTZig== 124794 +44GL44Gj44Gf 124795 +16nXmQ== 124796 +0LTRgw== 124797 +157Xnw== 124798 +16DXmA== 124799 +16DXmdeq 124800 +bWnFnw== 124801 +15vXnQ== 124802 +INeR16g= 124803 +INec15E= 124804 +INCb 124805 +w6dl 124806 +15XXoNeZ 124807 +44KI44GG44Gr 124808 +16TXldeo 124809 +44ON 124810 +2YPZig== 124811 +15fXqg== 124812 +2YHZhA== 124813 +INeU16c= 124814 +INeU15E= 124815 +INee16E= 124816 +4LmI4Liy4LiZ 124817 +0L/QtdGA 124818 +4LmI4Liy4Lin 124819 +INeR15A= 124820 +INmI2Yc= 124821 +4LiZ4Liz 124822 +INeR16k= 124823 +16DXpw== 124824 +44Gp44GG 124825 +16nXldeq 124826 +15PXlA== 124827 +4LmA4Lia 124828 +2YbYsw== 124829 +IOyasOumrA== 124830 +4Liq4LmI4Lin4LiZ 124831 +4Lil4Lix4LiH 124832 +2KzYsg== 124833 +INeX15k= 124834 +2YPYq9ix 124835 +4Lil4Liw 124836 +2YfYrw== 124837 +INmI2Kg= 124838 +2KfZhNmF 124839 +4LmB4Lih 124840 +xqFp 124841 +INeR15c= 124842 +4buvYQ== 124843 +4LmA4LiX4Lio 124844 +4LiV4Lix4LmJ4LiH 124845 +0L7Qs9C00LA= 124846 +15zXpw== 124847 +2K/Yrw== 124848 +4Liq4Lij4LmJ4Liy4LiH 124849 +4LiK4Li1 124850 +2YHYtg== 124851 +4LmB4Lir 124852 +dXnhu4du 124853 +4Lij4Lix4LiB 124854 +4buHbQ== 124855 +4Liq4Liy 124856 +16TXpw== 124857 +4Li14Lii4LiH 124858 +4LiV4LmI4Liy4LiH 124859 +4LiE4Lij4Lix4LmJ4LiH 124860 +2K3Zgg== 124861 +4LmA4Lit4LiH 124862 +2KfYptmK 124863 +15jXog== 124864 +2KfZhNip 124865 +4Li04LmI4Lih 124866 +44K9 124867 +2K/ZiQ== 124868 +INeo15A= 124869 +44Gj44Go 124870 +44OD44OX 124871 +2YrYsdip 124872 +6rG0 124873 +157XkA== 124874 +15XXlQ== 124875 +2KjYuQ== 124876 +44Gy 124877 +4Lij4Liy4Lii 124878 +15PXnQ== 124879 +2KrZgQ== 124880 +4LiV4LiB 124881 +4bqhbmc= 124882 +44KS6KaL 124883 +4LiK4Lix 124884 +xrDhu58= 124885 +xrDhu59uZw== 124886 +2KzYqA== 124887 +15XXnteo 124888 +IOyCrOuejA== 124889 +w7NuZw== 124890 +4Lij4Lix 124891 +INeU15Y= 124892 +16jXpg== 124893 +INeX15M= 124894 +2LDZhNmD 124895 +15XXqNeZ 124896 +44Gh44KD 124897 +2YHYuQ== 124898 +INec16Y= 124899 +w6Fp 124900 +4LmH4Lia 124901 +44GO 124902 +4LiB4Li0 124903 +4bqhYw== 124904 +66mw 124905 +44Gq44KL 124906 +15XXnNed 124907 +4LmB4LiX 124908 +15XXpQ== 124909 +0LzQtdGC 124910 +w7zFnw== 124911 +0YDRjw== 124912 +4LiS 124913 +0YHRgtC+0Y8= 124914 +2LnZiNiv 124915 +2YXYp9ix 124916 +2LfYqQ== 124917 +4Lie4Li3 124918 +0LrRgA== 124919 +4LmB4LiB 124920 +4LmC4Lij4LiH 124921 +15HXmdeY 124922 +6rKg 124923 +15XXnNeU 124924 +2K3YsQ== 124925 +4Li34LmI4Lit4LiZ 124926 +15XXkdeo 124927 +15fXqQ== 124928 +44OV44Kh 124929 +157XmA== 124930 +w7p0 124931 +IGTDtm4= 124932 +4bqvbmc= 124933 +66CH 124934 +4bqzbmc= 124935 +4Lin4LiB 124936 +2LXYrw== 124937 +2K7Ytw== 124938 +4Lit4Lix 124939 +44KP44KM 124940 +2LPZhNin2YU= 124941 +4LmA4Lij4LmH 124942 +15nXqdeZ 124943 +2KzYp9mE 124944 +44GR44KL 124945 +4LiK4Liy4LiV4Li0 124946 +2YjYp9mC 124947 +4LmC4LiZ 124948 +44Gm44GX44G+ 124949 +2KfYudip 124950 +44Kt44Oj 124951 +4LiN4Liy 124952 +2YTYp9mC 124953 +4Li04LiB 124954 +INGB0L7Qsg== 124955 +0YDQsNC6 124956 +15nXoNeZ 124957 +w7zEnw== 124958 +w7zEn8O8 124959 +16fXkQ== 124960 +4LmI4Lit4LiH 124961 +IGdlcsOnZWs= 124962 +4LiX4Lix 124963 +0L7QstCw0L3QuNGP 124964 +157Xmw== 124965 +2LPYqQ== 124966 +15nXow== 124967 +bGXFnw== 124968 +2YXYpA== 124969 +IOydmA== 124970 +4LiQ4Liy4LiZ 124971 +INGB0L7QsQ== 124972 +IOq1rQ== 124973 +16LXpg== 124974 +0LfQsg== 124975 +4Liq4LiH 124976 +2LLZhA== 124977 +44GP44KM 124978 +0LjRgNGD 124979 +2KrYow== 124980 +0L/QvtC70L0= 124981 +7JiA 124982 +2YbYtA== 124983 +15vXkA== 124984 +2YXYtA== 124985 +4LiU4LmM 124986 +2YjZitmE 124987 +4LmB4LiC 124988 +44Gj44Gm44GX44G+ 124989 +0L3QvtGB0YI= 124990 +0LLQuw== 124991 +2YXZgg== 124992 +2LHYp9is 124993 +5aSJ 124994 +65s= 124995 +4rg= 124996 +7JA= 124997 +4Ls= 124998 +4Zo= 124999 +4rs= 125000 +6pk= 125001 +4qc= 125002 +8JI= 125003 +8J2H 125004 +INeQ16o= 125005 +INmE2YQ= 125006 +INij2YY= 125007 +INeV15Q= 125008 +44Gr44Gv 125009 +INeZ16k= 125010 +2KrZhw== 125011 +w61uaA== 125012 +2YrYp9iq 125013 +INeR154= 125014 +4LiZ4Lix4LmJ4LiZ 125015 +4LiZ4LmJ4Liz 125016 +w6Bv 125017 +4LiV4Liy4Lih 125018 +44Gu44Gv 125019 +ZMSxcg== 125020 +IG5naGk= 125021 +4bq3dA== 125022 +157Xmded 125023 +44Gm44GE44KL 125024 +INeR16o= 125025 +4Lir4Lij4Li34Lit 125026 +INiz2Yo= 125027 +44Gq44KJ 125028 +4LmC4LiU4Lii 125029 +xLF5b3I= 125030 +4Lit4Li14LiB 125031 +4buHbmg= 125032 +0YvQvA== 125033 +4LiX4Li44LiB 125034 +INec15c= 125035 +INeU16g= 125036 +INeU15k= 125037 +4Lie4Lij4Liw 125038 +4LmA4Lin4Lil4Liy 125039 +INi6 125040 +4bqrbg== 125041 +bcSxxZ8= 125042 +15vXlA== 125043 +4buRbg== 125044 +44Gn44GX44KH44GG 125045 +44Oi 125046 +4Lib4Li1 125047 +16HXmQ== 125048 +44GT44KN 125049 +INec16Q= 125050 +4Lij4LiW 125051 +6riI 125052 +4LiB4Lin4LmI4Liy 125053 +66y0 125054 +4buNbmc= 125055 +44KT44Gn 125056 +44KI44GG44Gq 125057 +4buTaQ== 125058 +44Ks 125059 +4Liq4LmI4LiH 125060 +15nXoNeU 125061 +4LiW4Li54LiB 125062 +4LiI4Lix4LiU 125063 +INeU15I= 125064 +44Oc 125065 +157Xldeq 125066 +2YjZgw== 125067 +64uo 125068 +INir 125069 +44Gu44GM 125070 +4LmA4Lir4LmH4LiZ 125071 +2LnYpw== 125072 +4LiZ4Li0 125073 +xZ4= 125074 +4Lit4Liw 125075 +44GI44KL 125076 +2KvZhA== 125077 +2K3Zhdiv 125078 +4LmA4LiB4Li04LiU 125079 +16TXqdeo 125080 +16TXlA== 125081 +4Lih4Li0 125082 +2KbZitiz 125083 +4LiX4Liz4LmD4Lir4LmJ 125084 +16LXkw== 125085 +7Iuk 125086 +4LiK4LmI4Lin4Lii 125087 +INin2YTZhdmG 125088 +2LLZig== 125089 +2LnZig== 125090 +INeb15A= 125091 +4bqhbmg= 125092 +4bu5 125093 +44KT44Gq 125094 +4Liq4Li5 125095 +16bXqA== 125096 +xrDhu5tuZw== 125097 +15XXldeU 125098 +4LmC4Lil 125099 +INin2YTZhw== 125100 +4Lin4Liy 125101 +4Lir4Lil4Liy4Lii 125102 +0YnQtQ== 125103 +4LiC4LmJ4Lit 125104 +4LmJ4Lit4Lii 125105 +2KjYtw== 125106 +0LrQsNGP 125107 +INii 125108 +INC40YE= 125109 +INin2YTYug== 125110 +4LiB4Liy 125111 +4LiZ4LmI4Liy 125112 +2YrZiA== 125113 +15HXldeo 125114 +4buFbg== 125115 +4Lin4LiH 125116 +15nXlg== 125117 +7LKt 125118 +0L3QuNC8 125119 +65+w 125120 +15LXldeo 125121 +2LXYrQ== 125122 +2YTZiA== 125123 +15fXldeq 125124 +4Liq4Li4 125125 +2LHZitmC 125126 +16HXmA== 125127 +INee16I= 125128 +44OG44Kj 125129 +4LiE4Li04LiU 125130 +44KN44GG 125131 +4LmE4Lil 125132 +4LiZ4LmM 125133 +4buPaQ== 125134 +0YHRgtGA0L4= 125135 +4Liq4LiU 125136 +4Liq4Liy4Lij 125137 +2YjZhNip 125138 +4bqnbQ== 125139 +4Lij4LmI4Lin 125140 +4Lij4LmI4Lin4Lih 125141 +4Lij4Li4 125142 +INin2YTYs9mK 125143 +7JiB 125144 +INee15E= 125145 +16TXmA== 125146 +4LiV4Li04LiU 125147 +15jXmded 125148 +IOustA== 125149 +2YLYr9mF 125150 +IGTDvMWf 125151 +2KfYptmE 125152 +0LzRiw== 125153 +2K3Ysw== 125154 +2YjYtQ== 125155 +15nXp9eU 125156 +44Gn44Gv44Gq44GE 125157 +4LmA4Lir4Lih 125158 +0L7RgNGC 125159 +7Ya1 125160 +44GQ 125161 +0LrRgNCw 125162 +4Li14Lii4Lin 125163 +2LnYp9ix 125164 +2KbYqQ== 125165 +7YOA 125166 +44Gr44Gq44KK 125167 +2KzYqQ== 125168 +2YjZgti5 125169 +0YzRjw== 125170 +15XXpteU 125171 +16nXnQ== 125172 +2KjZgg== 125173 +INeZ15Q= 125174 +2YrYtw== 125175 +xLFtxLF6 125176 +0LTQtdGA0LY= 125177 +15nXqdeo15DXnA== 125178 +2LrZitix 125179 +4Lij4Lit4LiH 125180 +4LmA4Lij4Li14Lii4LiZ 125181 +INeU15g= 125182 +4Lir4Lih4Liy4Lii 125183 +2YXZhw== 125184 +2KfZgdip 125185 +INC+0YDQsw== 125186 +2YjZiQ== 125187 +44Op44Kk 125188 +157XoNeU 125189 +IMSRbw== 125190 +INCz0L7RgA== 125191 +2KfZhdip 125192 +5qW9 125193 +2KvZitix 125194 +4LiB4Li04LiI 125195 +4buTbg== 125196 +2YbYqA== 125197 +0YDRg9C0 125198 +7JeI 125199 +INeX15HXqA== 125200 +0YDQsNC2 125201 +4bqhY2g= 125202 +2KrZiA== 125203 +4LmC4Lih 125204 +15HXmdeR 125205 +IO2GtQ== 125206 +YWNhxJ/EsQ== 125207 +2KzZhNiz 125208 +4LmA4Lib4Lil 125209 +4Lin4LiU 125210 +4Lit4Lil 125211 +44Gf44KK 125212 +4Lib4Lix4LiN 125213 +IOyVjA== 125214 +2LnYsdmB 125215 +4LmE4Lif 125216 +2KPYrg== 125217 +5aSa44GE 125218 +4LiU4Lix4LiH 125219 +2LTZgQ== 125220 +44Gj44Gm44GE44G+44GZ 125221 +15vXoNeh 125222 +0YbQtQ== 125223 +0LXRgdC/ 125224 +2YXYp9mF 125225 +4Lie4Li34LmJ4LiZ 125226 +0LjRh9C10YHQutC4 125227 +2K7Yrw== 125228 +2YPZiNmF 125229 +INeU16jXkNep 125230 +2KrYp9io 125231 +6aOf44G5 125232 +4Li34LiZ 125233 +0L7RgNC+ 125234 +IGLDtmw= 125235 +15XXl9eT 125236 +2K/Zitix 125237 +4bqvbQ== 125238 +2K/YuQ== 125239 +44GV44Gb 125240 +4LiY4Lij 125241 +4LiY4Lij4Lij4Lih 125242 +44GL44KC 125243 +5aSa44GP 125244 +csOk 125245 +2LPYuQ== 125246 +15nXnNeU 125247 +2LbYsQ== 125248 +INin2YTYtNix 125249 +15bXldeo 125250 +16LXkdeo 125251 +4bqhbQ== 125252 +0LDQu9GM0L3Qvg== 125253 +2LHZhg== 125254 +2KfZhdis 125255 +15vXmg== 125256 +ZMSxxJ8= 125257 +0LTQtdC9 125258 +2LbYpw== 125259 +2YTZitmF 125260 +IOq3uOufrA== 125261 +2KrZhdin2Lk= 125262 +2KfYsdmK2K4= 125263 +4LmC4LiV 125264 +INGB0YDQtdC0 125265 +INeg15XXoQ== 125266 +2YLYqNmE 125267 +0L7RgtC+0LI= 125268 +bGXFn3Rpcg== 125269 +INC80LXRgdGC 125270 +2LPZhNmF 125271 +INei16Y= 125272 +INin2YTYs9mE 125273 +0LXRgtGM 125274 +2KfYqNip 125275 +0L3QsNC6 125276 +4Liq4LiW4Liy4LiZ 125277 +INeR16A= 125278 +4Lia4Lix4LiZ 125279 +15vXoA== 125280 +IMO2xJ8= 125281 +44Go6KiA 125282 +dXnhur9u 125283 +ZGnEnw== 125284 +4bqtdQ== 125285 +0YDQsNGB 125286 +44K344On44Oz 125287 +bsSxeg== 125288 +15XXk9eU 125289 +2KrYsw== 125290 +2YXYp9mE 125291 +4LmA4Lir4LiV4Li4 125292 +4Lii4Lin 125293 +4Lie4Lix4LiB 125294 +44GE44Gq44GE 125295 +INC60LDRhw== 125296 +4Lil4LmM 125297 +16jXm9eq 125298 +xZ90dXI= 125299 +157Xldeh 125300 +44Gl 125301 +0LHQvtC7 125302 +2LnZhdin2YQ= 125303 +15XXqNeq 125304 +0YbQuNC+0L0= 125305 +4Lio4Li24LiB 125306 +4LiP 125307 +0YDQtdC9 125308 +2KfYs9mK 125309 +2KfYptix 125310 +4LmC4Lib4Lij 125311 +IHNlw6c= 125312 +2LrZig== 125313 +0Y3Rgg== 125314 +0LXQvdC9 125315 +44Gq44Gu 125316 +15nXqdeU 125317 +15nXpNeV16g= 125318 +44Gf44KB44Gr 125319 +2LLYqQ== 125320 +IMOnb2M= 125321 +44Kv44Oq 125322 +0YjQtdC9 125323 +44KP44GR 125324 +2LHZitiv 125325 +INGA0LDRgdGB 125326 +2YPYp9iq 125327 +4Liq4Lit4Lia 125328 +Y2XEn2k= 125329 +44K/44Kk 125330 +4Lia4Lij 125331 +INin2YTYqNix 125332 +16DXldei 125333 +csO8bg== 125334 +2LHYp9i2 125335 +4Lio4Liy4Liq 125336 +4LiV4Lij4LmM 125337 +44GN44Gf 125338 +15XXnNeT 125339 +0LXRgNC4 125340 +7ZeY 125341 +4bqvcA== 125342 +2KrYudmE 125343 +2YPYrw== 125344 +0LjRgtC10LvRjNC90L4= 125345 +2LfZgQ== 125346 +INCw0LLRgtC+0Lw= 125347 +INee16Y= 125348 +0YjQuNGF 125349 +2KfYqtmB 125350 +INGF0L7Rgg== 125351 +2Y7Ypw== 125352 +44GP44KL 125353 +15TXpA== 125354 +4LmC4LiX 125355 +4LmB4Lie 125356 +4LmI4Lit4Lii 125357 +INin2YTZhdi0 125358 +4LiB4Liy4Lij4LiT4LmM 125359 +0LDQvdC40Lc= 125360 +15TXnA== 125361 +2LjZhQ== 125362 +4Lii4Li4 125363 +bGnEnw== 125364 +4LmE4LiC 125365 +4LiW4Li34Lit 125366 +w7Z6 125367 +44GR44Gm 125368 +4LmA4Lic 125369 +4Li44Lih 125370 +44OX44Os 125371 +INeU15DXl9eo 125372 +2K7YqtmE2YE= 125373 +4LiO 125374 +2YTYp9it 125375 +IGTDvHplbg== 125376 +16bXlA== 125377 +2LPYp9ih 125378 +15XXqNea 125379 +15XXk9eZ 125380 +0YDQsNGE 125381 +xZ90xLFy 125382 +44Gr5YWl 125383 +44GI44Gw 125384 +2LXZiNmE 125385 +INCc0L7RgQ== 125386 +2KfZh9ix 125387 +44Gj44E= 125388 +INC70Y7QsQ== 125389 +15nXoteU 125390 +INeU157Xpw== 125391 +4Liq4Li04LiX 125392 +4Liq4Li04LiX4LiY4Li0 125393 +15nXoNed 125394 +2YTYp9mB 125395 +4Lie4Lix4LiZ4LiY 125396 +15XXkNeU 125397 +4Lih4Lix 125398 +4LiC4LiT4Liw 125399 +0LTQvtGA 125400 +44Go44Gq 125401 +4LiB4Lij4Liw4LiX 125402 +YWPEsQ== 125403 +15XXnNeV15I= 125404 +0YPRiA== 125405 +44Ol44O8 125406 +44Om 125407 +2YXYs9iq 125408 +IGHFnw== 125409 +16nXpw== 125410 +16TXqteX 125411 +4Liy4Lii4LiZ 125412 +7Yc= 125413 +66I= 125414 +77c= 125415 +7Yk= 125416 +7LU= 125417 +7Kw= 125418 +8J2b 125419 +7JI= 125420 +65k= 125421 +6qc= 125422 +4ZY= 125423 +4qg= 125424 +4rE= 125425 +4Zg= 125426 +8JY= 125427 +4KA= 125428 +4ZQ= 125429 +8JCt 125430 +4buvbmc= 125431 +xaluZw== 125432 +INeU16o= 125433 +INin2YTYpw== 125434 +INee16o= 125435 +4LiW4Li24LiH 125436 +w7Ju 125437 +4buLbmg= 125438 +0L3Ri9C8 125439 +IGPhuqM= 125440 +4LiU4Li5 125441 +IOC5geC4leC5iA== 125442 +INeR15Q= 125443 +w7Np 125444 +44Go44GX44Gm 125445 +w7puZw== 125446 +INiw 125447 +INeU16A= 125448 +INio2YY= 125449 +2YTYp9mE 125450 +4LmE4LiX4Lii 125451 +4buHcA== 125452 +dMSx 125453 +4Lih4Lix4LiZ 125454 +4bqxbmc= 125455 +4buRdA== 125456 +0LrQvtC8 125457 +4LiL4Li24LmI4LiH 125458 +4LiE4Lij4Lix4Lia 125459 +4Lia4LmJ4Liy4LiZ 125460 +INin2YTZig== 125461 +bMO8 125462 +2YjYsw== 125463 +44Gg44Gj44Gf 125464 +4LmA4LiH 125465 +IOqztQ== 125466 +0L3Rgw== 125467 +44KI44KK 125468 +0LzRgw== 125469 +4LmA4LiC4Liy 125470 +44KA 125471 +0L3QuNC1 125472 +44Gr44Gq44KL 125473 +4bqteQ== 125474 +INmI2Kc= 125475 +66Ck 125476 +16nXlQ== 125477 +w6Fw 125478 +15PXlQ== 125479 +44Gn44GX44Gf 125480 +2LnYtg== 125481 +0YHQutC+0Lk= 125482 +5oSf44GY 125483 +0Y7RgtGB0Y8= 125484 +INeZ15vXldec 125485 +44KT44Gg 125486 +0LLQuA== 125487 +4LmA4Lil4LmI4LiZ 125488 +7J2064uk 125489 +INmE2Yc= 125490 +4LiE4Li34Lit 125491 +2KrZgw== 125492 +2YXZg9mG 125493 +YcSfxLE= 125494 +16DXkw== 125495 +66+8 125496 +4LmE4Lin 125497 +4Liq4Liz4Lir 125498 +4Liq4Liz4Lir4Lij4Lix4Lia 125499 +0YHQu9C10LQ= 125500 +dMSxcg== 125501 +INmE2Yo= 125502 +INin2YTYudmF2YQ= 125503 +15HXldeq 125504 +15HXmded 125505 +4LiE4Liz 125506 +4LmA4LiE4Lij4Li34LmI4Lit4LiH 125507 +bMSxxJ/EsQ== 125508 +4Li34Lit4LiH 125509 +2KzYrw== 125510 +7Z6I 125511 +7Ius 125512 +16LXldeq 125513 +4Liq4Li04LiZ 125514 +0YfQuA== 125515 +2LHYtg== 125516 +4LmA4Lib4Li04LiU 125517 +4LiE4LmI4Liy 125518 +7ISg 125519 +2YjYsdip 125520 +16fXmA== 125521 +7Jyg 125522 +2LnZhdmE 125523 +15DXmded 125524 +15zXmded 125525 +4LmD4Lir4LiN 125526 +4LmD4Lir4LiN4LmI 125527 +4burYQ== 125528 +4buNaQ== 125529 +44G2 125530 +w61jaA== 125531 +44OH44Kj 125532 +15XXqNeZ150= 125533 +0YHQvg== 125534 +7JW9 125535 +0L7QstCw 125536 +0YfQsNGB0YI= 125537 +4LmA4LiI4LmJ4Liy 125538 +0L/RgNC+ 125539 +INee15c= 125540 +44OO 125541 +15XXmdeV16o= 125542 +INC00LU= 125543 +66eI 125544 +7KeB 125545 +15nXpNeU 125546 +INin2YTYudin2YTZhQ== 125547 +66W0 125548 +16jXkNeU 125549 +dXnhu4Nu 125550 +16LXmQ== 125551 +4Lih4Li34Lit 125552 +2KXZhg== 125553 +4Lij4Li5 125554 +INiy 125555 +15nXlded 125556 +4LiV4LmJ4LiZ 125557 +44Gm44GE44G+44GZ 125558 +2YXYp9mG 125559 +INCl 125560 +4Lib4Lij4Liw4LmA4LiX4Lio 125561 +4buz 125562 +15zXkQ== 125563 +4LmA4LiU4LmH 125564 +44Gf44Gh 125565 +4LiX4Li14Lih 125566 +4LiZ4Liw 125567 +7Jew 125568 +IOyggA== 125569 +2YTZhw== 125570 +4bufaQ== 125571 +INin2YTYsg== 125572 +2K/Yp9ix 125573 +44Kz44Oz 125574 +0LzQuNC9 125575 +4LmB4Lir4LmI4LiH 125576 +4LiU4Lix4Lia 125577 +15vXqA== 125578 +0LbQsA== 125579 +7ZaI 125580 +157Xlg== 125581 +4bujaQ== 125582 +4LiU4Liy 125583 +INi52KjYrw== 125584 +4LmB4Lij 125585 +15DXqteo 125586 +16LXoNeZ 125587 +4LmA4LiE 125588 +15XXpteo 125589 +7KeA66eM 125590 +2KfYptmF 125591 +2KPYsw== 125592 +dXnhu4Fu 125593 +INeQ16A= 125594 +15fXoNeV 125595 +15bXmQ== 125596 +4Lij4LmJ4Liy4LiZ 125597 +INCg0L7RgQ== 125598 +INCg0L7RgdGB 125599 +2LHYqNmK2Kk= 125600 +dMO8cg== 125601 +44KL44GT44Go 125602 +2LjYsQ== 125603 +0LHRiw== 125604 +4LiX4Li14LmI4Liq4Li44LiU 125605 +INem16g= 125606 +6Ieq5YiG 125607 +0LvQsNGB 125608 +INGP0LI= 125609 +INGP0LLQu9GP 125610 +4Lie4Lij4LmJ4Lit4Lih 125611 +4Lit4Liy4LiI 125612 +4Lia4Lij4Li04LiB4Liy4Lij 125613 +IMOnxLE= 125614 +642Y 125615 +INin2YTZhdiz2Ko= 125616 +2KrYtA== 125617 +16nXldeR 125618 +44K0 125619 +IHlhcMSxbA== 125620 +INin2YTYsA== 125621 +4Li44LmI4Lih 125622 +4LiW4LmJ4Liy 125623 +7ISk 125624 +7LCo 125625 +0LLQsNGA 125626 +4LmA4Lie4Li04LmI4Lih 125627 +xrDhu5tp 125628 +2YPYsw== 125629 +4Lit4Lii4Liy4LiB 125630 +44Gm44KC 125631 +INCz0L7QtA== 125632 +2YrYp9ix 125633 +4LiV4Lit4LiZ 125634 +INC40LPRgA== 125635 +4LmE4LiU4LmJ4Lij4Lix4Lia 125636 +INin2YTZhdix 125637 +2YLYqg== 125638 +IOuY 125639 +IOuYkA== 125640 +4bqpbg== 125641 +44GZ44KL44GT44Go 125642 +15LXnQ== 125643 +INeR15E= 125644 +2KrYrw== 125645 +2YjYp9ix 125646 +44Ku 125647 +0L/QvtC7 125648 +INC80L7Qsw== 125649 +2KrYsdmD 125650 +2YjYqw== 125651 +IMOnxLFr 125652 +2KfYqQ== 125653 +4LmA4LiU4Li14Lii4Lin 125654 +4Lih4Li14LiE4Lin4Liy4Lih 125655 +INee15I= 125656 +2LXZgQ== 125657 +INCi0LDQug== 125658 +INeb16o= 125659 +15nXk9eZ 125660 +0L7QstC+0YA= 125661 +4bqneQ== 125662 +4Liq4Li04LmI4LiH 125663 +2KjYqg== 125664 +w7xyw7w= 125665 +2YbYrA== 125666 +4Lir4Lil4Lix4LiB 125667 +15nXlNed 125668 +2YLYtQ== 125669 +0LfRiw== 125670 +15vXqteR 125671 +xrB1 125672 +bcSxeg== 125673 +IOyEuA== 125674 +0LvQvtCz 125675 +2YXZitmE 125676 +2YrYrA== 125677 +7ZKI 125678 +4Lie4Lia 125679 +4Lir4Lix4Lin 125680 +0LfQvdCw 125681 +16jXpw== 125682 +4LmC4Lij 125683 +INeR16E= 125684 +IEJhxZ9rYW4= 125685 +IOuUsA== 125686 +4Lit4Lix4LiZ 125687 +4Li14LmI4Lii4Lin 125688 +0L3QtdGB 125689 +4LmA4LiU4Li04LiZ 125690 +2YrYp9mG 125691 +15XXnNeZ 125692 +2KfYrtiq 125693 +16bXldeq 125694 +44GT44GT 125695 +INin2YTYp9mG 125696 +INC/0YDQvtGG 125697 +44G+44Gg 125698 +15vXoQ== 125699 +INin2YTYog== 125700 +2YrYsg== 125701 +INin2YTYr9mI2YQ= 125702 +IO2VmOuCmA== 125703 +2LbYuQ== 125704 +6ruY 125705 +xZt3aQ== 125706 +4Lii4Li0 125707 +44Gh44KD44KT 125708 +INmF2LQ= 125709 +4LiY4Li1 125710 +44Go44GN 125711 +16DXmdeV16o= 125712 +IOuv 125713 +IOuvuA== 125714 +IHPEsQ== 125715 +64uI6rmM 125716 +INC/0Ls= 125717 +2LrZhA== 125718 +4LmB4Lij4LiH 125719 +2KjZitix 125720 +44GC44KK44G+44Gb44KT 125721 +6re8 125722 +IHnDvHo= 125723 +IGRlxJ9lcg== 125724 +5aC05ZCI 125725 +4buh 125726 +0LzQsNGC 125727 +4Lij4Liy4LiK 125728 +2YjYsdmK 125729 +0LbQtdC9 125730 +44G+44KK 125731 +44Gu5Lit 125732 +15nXk9ei 125733 +4Lit4Li4 125734 +4Lia4Lit4Lil 125735 +4Lib4Lix4LiN4Lir4Liy 125736 +2LLZhQ== 125737 +xJ9h 125738 +4Lit4Li34LmI 125739 +4Lit4Li34LmI4LiZ 125740 +0L/Quw== 125741 +INC90LXQvtCx0YXQvtC00LjQvA== 125742 +15vXkQ== 125743 +4LmA4Lio 125744 +16fXqNeU 125745 +7LKY 125746 +66Co 125747 +157Xp9eV150= 125748 +asSFYw== 125749 +2YfZhA== 125750 +INei15HXldeT 125751 +4LmE4Lih4LmJ 125752 +4LiB4Lil4Lix4Lia 125753 +15XXm9ec 125754 +16fXkw== 125755 +2KfZhNmK2Kk= 125756 +2LHZhw== 125757 +44GR44KM44Gw 125758 +INmG2YHYsw== 125759 +44Ki44Or 125760 +7JeI64uk 125761 +16fXldeo 125762 +0L3QtdGA 125763 +2KjYp9io 125764 +44K2 125765 +2LPYqNio 125766 +2YTZitmE 125767 +2LXZhg== 125768 +2LXYr9ix 125769 +4bq/bQ== 125770 +4LiK4LmI4Lin4LiH 125771 +2K3Zhg== 125772 +INeR15I= 125773 +157Xldei 125774 +15zXlw== 125775 +5aSn44GN 125776 +2KrYqA== 125777 +0L3QtdGC 125778 +15nXkdeU 125779 +0LHQuw== 125780 +44OX44Oq 125781 +2KfYtdip 125782 +44Gk44GR 125783 +15nXnteV16k= 125784 +44GM44GC 125785 +64u0 125786 +44GL44KC44GX 125787 +44GL44KC44GX44KM 125788 +44Gh44KJ 125789 +15HXmA== 125790 +IGJhxJ8= 125791 +15nXl9eh 125792 +15HXldei 125793 +4Lil4Li1 125794 +16TXoteZ15w= 125795 +0LjQvNC4 125796 +Z8WC 125797 +INC40LzQtQ== 125798 +2K7Yr9in2YU= 125799 +15DXmdeo 125800 +IHlhcHQ= 125801 +44Go44GE 125802 +4LiH4LmI4Liy4Lii 125803 +15zXmdeV 125804 +2K3Yr9ir 125805 +2LHYp9mC 125806 +IMSQaQ== 125807 +2KfYr9ix 125808 +44GT44Go44KC 125809 +15HXmdeo 125810 +INCy0Lc= 125811 +2LbYp9mB 125812 +16rXldeb 125813 +0YDQvtC8 125814 +2LHYp9iq 125815 +4LmA4LiX4LmI4Liy 125816 +44GY44KD 125817 +44Gd44GT 125818 +2KfYrNiq2YXYp9i5 125819 +4LmJ4Lit4LiZ 125820 +2YLZhQ== 125821 +67O4 125822 +xJ4= 125823 +16nXmdeV 125824 +15HXoNeZ 125825 +7JyE7JuQ 125826 +4LmB4LiI 125827 +15fXldeo 125828 +2K/ZitmG2Kk= 125829 +2KrYtw== 125830 +4bqxbQ== 125831 +w7Jh 125832 +4Lii4Lit4LiU 125833 +IOuLuQ== 125834 +4Liq4Li44LiC 125835 +15PXqNea 125836 +2K/Zhg== 125837 +2LPZitmG 125838 +2YjZgtmB 125839 +0YbRiw== 125840 +0LPQvtGC0L7Qsg== 125841 +0LXQttC00YM= 125842 +4Lie4Lin4LiB 125843 +2KfZgtiq2LU= 125844 +2KfZgtiq2LXYp9iv 125845 +Y3rEmQ== 125846 +bmnEmQ== 125847 +0YDQtdCx 125848 +2K3ZiA== 125849 +4LiX4LmM 125850 +44KI44Gt 125851 +0LTQtg== 125852 +4LiB4Lil4LmI4Liy4Lin 125853 +2K/Zitir 125854 +44Kz44Of 125855 +2YLZiNmF 125856 +INiq2K0= 125857 +4LmA4LiV4Li0 125858 +2KfZgdi4 125859 +4LiI4Li4 125860 +2LHZitin2LY= 125861 +157Xqdea 125862 +4LmC4Lii 125863 +0LXRgNC1 125864 +44G/44Gf44GE 125865 +7J206528 125866 +INin2YTZhdmI 125867 +INGB0YLQvg== 125868 +4LmA4Lij4LmH4Lin 125869 +INC00LXRgg== 125870 +INGB0LTQtdC7 125871 +4LmA4LiK4Li34LmI4Lit 125872 +16TXoNeZ 125873 +2YjYttmI2Lk= 125874 +15HXoQ== 125875 +4LmB4LiU 125876 +w7Nj 125877 +4Lij4Li04Lih 125878 +0YDQsNC0 125879 +7Iig 125880 +44O844K6 125881 +44Gr44GK 125882 +0LjQvdC+ 125883 +16TXmdec 125884 +4LiK4Lix4LmI4LiZ 125885 +15fXk9ep 125886 +4LmA4LiZ4Li34LmI4Lit4LiH 125887 +16DXmdeh 125888 +2LrYsdio 125889 +44K444Oj 125890 +4Liq4Lix4LiH 125891 +4LmA4LiX4Li14LmI 125892 +4LmA4LiX4Li14LmI4Lii4Lin 125893 +65+8 125894 +4LmB4Lif 125895 +44O844K3 125896 +44O844K344On44Oz 125897 +INCy0L7Qt9C80L7Qtg== 125898 +2KzZhdmI2Lk= 125899 +15HXqNeZ150= 125900 +44OI44Op 125901 +INC60LDRh9C10YHRgtCy 125902 +2LfZig== 125903 +0YLRjw== 125904 +16bXldei 125905 +xJ/EsW7EsQ== 125906 +2LnZhNmJ 125907 +2KfYsA== 125908 +2YjYp9mC2Lk= 125909 +2YXZiNin 125910 +2KfYptmK2YQ= 125911 +0LrQvtC7 125912 +4buBbQ== 125913 +4Lic4Lil4Li04LiV 125914 +15nXoNeY16g= 125915 +2LPZgw== 125916 +16nXmdeo 125917 +4Lio4Li24LiB4Lip4Liy 125918 +4Lia4Lix 125919 +0YfQsNGB 125920 +15XXpNeU 125921 +15nXpNeV15w= 125922 +INin2YTYs9in2Kg= 125923 +2LHZitio 125924 +INin2YTYqNmK 125925 +44K544OG 125926 +0YfQtdC9 125927 +4LmB4Lic 125928 +INeg16k= 125929 +2LLZitiv 125930 +2K3Yp9iv 125931 +642U 125932 +2LHZiNi5 125933 +4LiX4Li44LiZ 125934 +4Liq4Lih4Liy 125935 +Y3plxYQ= 125936 +15nXk9eU 125937 +44Gn44GC 125938 +IMOnb2N1aw== 125939 +2K7YqA== 125940 +4Lia4Liy4Lii 125941 +4Lib4Lij4Liw4LiK4Liy 125942 +157Xqdec 125943 +44Gq44GL 125944 +4LiB4Liy4Lii 125945 +44OB44Oj 125946 +0LDRgNC4 125947 +INGH0LA= 125948 +4LiU4Liz 125949 +4LiX4Lix4LmI4Lin 125950 +0YPRhQ== 125951 +IMO2eg== 125952 +IOyiiw== 125953 +2KzYsdmK 125954 +2KfYptmC 125955 +4Lig4Lix4Lii 125956 +2LfYp9ix 125957 +2K/Yp9ix2Kk= 125958 +xKluaA== 125959 +2KvZhg== 125960 +emVsbGlr 125961 +2KfZhNiq 125962 +IGdlbGk= 125963 +44OV44Kp 125964 +0L7Qu9C+0LQ= 125965 +2LHYqNi5 125966 +16nXqtee16k= 125967 +4Lia4Lij4Lij 125968 +7Z2s 125969 +IMO8csO8bg== 125970 +IOq3uOughw== 125971 +4Lio4Liy4Liq4LiV4Lij4LmM 125972 +44Gc 125973 +15nXkdec 125974 +INC/0YDQtdC00YHRgtCw0LI= 125975 +2LPYt9mK2YY= 125976 +44KS5L2/ 125977 +INC/0L7QvNC+0Yk= 125978 +15XXp9eo 125979 +44Ov44O8 125980 +IHnDtm5ldA== 125981 +15nXp9eo 125982 +4LiC4Liy 125983 +0LXRgNC40LDQuw== 125984 +2K3ZgQ== 125985 +INeZ16Y= 125986 +4LiX4Li0 125987 +5aOy 125988 +4LiZ4Lit4LiB 125989 +15XXm9eo 125990 +7Zmc 125991 +4buneQ== 125992 +INin2YTZgtix 125993 +15nXkdeV16o= 125994 +xZtuaQ== 125995 +2YXYtNin2LE= 125996 +xrDhu6N0 125997 +INmE2K/Zig== 125998 +0YLQtdC7 125999 +INil2YTZig== 126000 +2LnZhNmI2YU= 126001 +7JWY 126002 +0LLQuNGC 126003 +4LiE4Liw 126004 +eXLEsQ== 126005 +44Go44Gj44Gm 126006 +4LmA4LiJ 126007 +4LiW4Liy4Lih 126008 +2YLYp9ix 126009 +2LnZhNin2YU= 126010 +4bq3bmc= 126011 +2YXZkg== 126012 +15nXnteq 126013 +2LPYqNip 126014 +44Kv44Op 126015 +15XXodej 126016 +INC/0YDQuNC9 126017 +44GE44KN 126018 +2LPYp9iz 126019 +2LnYqtio2LE= 126020 +4Lin4Li04LiX4Lii 126021 +4Lin4Li04LiX4Lii4Liy 126022 +2LPZg9ix 126023 +44K344On 126024 +44GB 126025 +4Lix4LiB4Lip 126026 +15HXldeU 126027 +4Lir4Lii 126028 +44G+44KM 126029 +INC+0YDQs9Cw0L3QuNC3 126030 +0LrQsNC30LDQuw== 126031 +INGB0LLRj9C3 126032 +dXnhur90 126033 +INC/0YDQvtC40Lc= 126034 +INen15g= 126035 +4LmB4LiB4LmJ 126036 +0L/Rg9GB 126037 +IOq3uOqygw== 126038 +64qQ 126039 +0LvQtdC60YE= 126040 +44O844OX 126041 +4LiV4Liz 126042 +16rXl9eZ15w= 126043 +4Lit4LiH4LiE4LmM 126044 +4bq1 126045 +16DXpg== 126046 +2KPYtA== 126047 +2LTZhw== 126048 +4Lii4Liw 126049 +4LiB4LiO 126050 +INin2YTYpdiz2YTYp9mF 126051 +0LXQtNGM 126052 +44Gy44Go 126053 +64+E66Gd 126054 +44Gp44Gu 126055 +0YPQsg== 126056 +0LXRh9C10L3QuNC1 126057 +INin2YTYqtis 126058 +44Gr6KGM 126059 +INC/0L7Qt9Cy 126060 +44KP44KK 126061 +2YTYp9ir 126062 +7ZWY7JiA 126063 +INC80LDRgA== 126064 +IGtvbnXFnw== 126065 +44Os44K5 126066 +44KS5oyB 126067 +INC+0YHQvdC+0LI= 126068 +15fXkQ== 126069 +2YjYrNmI2K8= 126070 +16TXldef 126071 +0LLQvtGA 126072 +INC90LjQug== 126073 +44GL44KL 126074 +xZ90xLFybWE= 126075 +15nXodeY 126076 +2KPZhA== 126077 +4Lir4LmM 126078 +0LjQvtC90LA= 126079 +0LvRjNC9 126080 +INCz0L7RgQ== 126081 +INCc0L7RgdC6 126082 +0YDQvtCx 126083 +15XXkNeZ 126084 +44GK44KK44G+44GZ 126085 +44Gj44Gx 126086 +0LrQuw== 126087 +4LiZ4LiU4LmM 126088 +2LHZitmB 126089 +2KfYs9io 126090 +INGA0LXRiA== 126091 +INC00L7Quw== 126092 +44G544GN 126093 +15nXkdeV16g= 126094 +0LzQtdGJ 126095 +INC90LDRiA== 126096 +4LmB4Lib4Lil 126097 +0YDQuNGC 126098 +0LrRg9GB 126099 +0LjRgNCw 126100 +0LDRgtGD0YA= 126101 +2YjYp9i12YQ= 126102 +4LmA4Lic4Lii 126103 +4Lit4Liz 126104 +4LmA4LiB4Li04LiZ 126105 +2LrZhQ== 126106 +44GZ44GO 126107 +bMSxa2w= 126108 +xYRzaw== 126109 +6rKs 126110 +15nXm9eU 126111 +15fXqdeR 126112 +2YjYsdmK2Kk= 126113 +INC00LXQudGB0YLQsg== 126114 +15fXnNeY 126115 +INec157Xog== 126116 +16bXnNeZ15c= 126117 +0LXRh9Cw 126118 +2YHYp9i5 126119 +15LXmdeT 126120 +4bqtbQ== 126121 +xJli 126122 +2LTYuQ== 126123 +44GP44KK 126124 +4Lie4Li4 126125 +0LXQtNC10YA= 126126 +4LiC4LiZ 126127 +4LiE4Liy4Lij 126128 +INCx0L7Qu9GM0Yg= 126129 +44GP44Gq44KK 126130 +4LiT4Liy 126131 +15PXldeS 126132 +INC80L0= 126133 +5LiK44GM 126134 +57aa44GN 126135 +4Lik4Lip 126136 +4LiG 126137 +2K7Zig== 126138 +4LmA4LiX4Lie 126139 +4Liq4Lix4Lih 126140 +4LmA4Liq4LiZ 126141 +4LmA4Liq4LiZ4Lit 126142 +44O0 126143 +INC40YHRgg== 126144 +2KjYp9i02LE= 126145 +INGD0YDQvtCy 126146 +157XldeW 126147 +YWLEsQ== 126148 +d2HFvA== 126149 +15XXpteQ15Q= 126150 +0YLQstC10YA= 126151 +4Lie4Lix4LiZ4LiY4LmM 126152 +16DXkteT 126153 +44KL44GT44Go44GM44Gn44GN 126154 +INGC0YDQtdCx 126155 +4LiB4Lij4Li44LiH 126156 +2K3Yqtin2Kw= 126157 +4LmA4LiE4Lil 126158 +44Y= 126159 +xJl0cg== 126160 +IHN6Y3plZw== 126161 +INeo16k= 126162 +4LiX4LiY 126163 +INC90LXQug== 126164 +INC90LXQutC+0YLQvtGA 126165 +0LLRiA== 126166 +0Kw= 126167 +4LmI4Lin4Lii 126168 +4Lil4Li4 126169 +0LHRgNGP 126170 +4Lir4Lih4Li54LmI 126171 +4LmB4LiV4LiB 126172 +16jXm9eZ150= 126173 +IO2WiQ== 126174 +w6Np 126175 +2YPYsdip 126176 +4q0= 126177 +7ZA= 126178 +440= 126179 +4YE= 126180 +4q4= 126181 +4qU= 126182 +7K4= 126183 +4L8= 126184 +4r8= 126185 +4YI= 126186 +4aQ= 126187 +4qA= 126188 +7Z8= 126189 +8JCN 126190 +8JCw 126191 +8J2G 126192 +8J+I 126193 +INei15w= 126194 +INi52YY= 126195 +INmF2Lk= 126196 +INeW15Q= 126197 +INmF2Kc= 126198 +IG3DoA== 126199 +IGThu6U= 126200 +4buHYw== 126201 +0LDRhQ== 126202 +c8Sx 126203 +7ZWY6rOg 126204 +INeV15E= 126205 +INCf0L4= 126206 +15XXqteo 126207 +INmE2YU= 126208 +INeV15w= 126209 +44GX44Gm44GE44KL 126210 +INee15k= 126211 +INio2YrZhg== 126212 +0LfQsA== 126213 +INmD2KfZhg== 126214 +INeU15nXlA== 126215 +64WE 126216 +15DXlQ== 126217 +0LTQuA== 126218 +INC/0LXRgNC1 126219 +ZMSx 126220 +INec16k= 126221 +INep154= 126222 +44GM44GC44KL 126223 +44GE44GE 126224 +0YDQtQ== 126225 +16fXlQ== 126226 +0LjQu9C4 126227 +0LzQtQ== 126228 +2YrYqg== 126229 +44Gn44GC44KL 126230 +INCy0L4= 126231 +4LmD4Lir4Lih 126232 +4LmD4Lir4Lih4LmI 126233 +INep15E= 126234 +IOC5guC4lOC4og== 126235 +2YrZhw== 126236 +44Gn44GZ44GM 126237 +44Go44Gv 126238 +16jXlQ== 126239 +IOC4i+C4tuC5iOC4hw== 126240 +44Gn44GN44KL 126241 +0LzQvg== 126242 +4LmA4Lie4Li34LmI4Lit 126243 +16bXlQ== 126244 +15jXlQ== 126245 +7JWI 126246 +IGjhu40= 126247 +4LmA4LiH4Li04LiZ 126248 +INin2YTYqA== 126249 +IOC4oeC4tQ== 126250 +66y8 126251 +0YHQtQ== 126252 +65Ok7J20 126253 +IOunkA== 126254 +IGzhu5s= 126255 +YcWC 126256 +15fXkdeo 126257 +IGThu7E= 126258 +2YrYqw== 126259 +IHRo4buL 126260 +4LiB4LmI4Lit4LiZ 126261 +INeR15vXnA== 126262 +44G4 126263 +44Go5oCd44GE44G+44GZ 126264 +4bqjbmg= 126265 +4Lii4Liy 126266 +2YHYpw== 126267 +4Liq4Li1 126268 +4LiV4Liy 126269 +67KV 126270 +44Oq44O8 126271 +4Lij4Liy4LiE4Liy 126272 +INeV15zXkA== 126273 +44Go44GT44KN 126274 +4LmA4Lil4Li34Lit 126275 +ZGnEn2k= 126276 +2YjYp9mG 126277 +INec15TXqg== 126278 +4Lij4Lin4Lih 126279 +16TXmded 126280 +4Lic4Lih 126281 +0LbQuA== 126282 +Y8Sx 126283 +0YDQvtC0 126284 +IGthcsWfxLE= 126285 +15LXlQ== 126286 +44Gr44Gk 126287 +44Gr44Gk44GE44Gm 126288 +csOg 126289 +15nXldeq16g= 126290 +IOyGjA== 126291 +16fXlA== 126292 +0YHRgtCy0L4= 126293 +44GR44Gp 126294 +Z8Op 126295 +4LiU4LmJ4Liy4LiZ 126296 +55qE44Gr 126297 +INmK2YXZg9mG 126298 +7IaN 126299 +2YrZgw== 126300 +4LmE4Lin4LmJ 126301 +0YHQutC40Lk= 126302 +w6xt 126303 +INec15DXl9eo 126304 +4Lit4Liy4Lir4Liy4Lij 126305 +IOC5gOC4ng== 126306 +4Lij4Liy4Liw 126307 +4Lil4Li54LiB 126308 +0YHRgtCw 126309 +IOycoA== 126310 +2YLZiNmE 126311 +0LHQvtGA 126312 +0YHQutC+0LPQvg== 126313 +4Lir4Lil4Lix4LiH 126314 +4LiC4LmI4Liy4Lin 126315 +4LmA4Lih4Li34Lit4LiH 126316 +6rCB 126317 +dMOg 126318 +2YrZitmG 126319 +2LnYsdi2 126320 +67Cp 126321 +IOuPmQ== 126322 +IOC5gOC4mw== 126323 +IOC5gOC4m+C5h+C4mQ== 126324 +w6dp 126325 +bGnEn2k= 126326 +7JeQ6rKM 126327 +44K/44O8 126328 +INec16o= 126329 +16TXldeq 126330 +4LiC4Lit 126331 +2LHYsw== 126332 +7KCQ 126333 +4Lic4LmI4Liy4LiZ 126334 +0YTQuA== 126335 +2KzZhg== 126336 +7KKF 126337 +INeU16Q= 126338 +IG5nbw== 126339 +4buLYQ== 126340 +IHThu5U= 126341 +IOq3uOumrA== 126342 +4LmA4Lih4Li34LmI4Lit 126343 +2LDZg9ix 126344 +7JaR 126345 +7Jet 126346 +15jXnA== 126347 +a8Sx 126348 +INi52YXZhA== 126349 +INi52YbYrw== 126350 +4LiL4Li34LmJ4Lit 126351 +IOqxsA== 126352 +0LLQtQ== 126353 +csO8 126354 +4LmA4Lit4Liy 126355 +4Liq4LmM 126356 +4LiI4LiZ 126357 +16HXqg== 126358 +IGdp4bqj 126359 +44KL44Go 126360 +4LiB4Liz4Lil4Lix4LiH 126361 +0L3QtdC5 126362 +4LiI4Lij4Li0 126363 +4LiI4Lij4Li04LiH 126364 +IOuN 126365 +IOuNlA== 126366 +4LiE4LmI4Liw 126367 +w6xu 126368 +IHPDvHJl 126369 +IHF1eQ== 126370 +4Lia4Liy4LiH 126371 +5Y+W44KK 126372 +16jXlw== 126373 +15HXqg== 126374 +44GM44GC44KK44G+44GZ 126375 +16jXqQ== 126376 +7JeQ64qU 126377 +INeQ16TXqdeo 126378 +YXnEsQ== 126379 +44GM44KJ 126380 +2K3YqA== 126381 +0LDQvdGB 126382 +2LPZiA== 126383 +INC/0YDQtQ== 126384 +2K/ZiA== 126385 +44Gr44KI 126386 +4LmA4LiB4Lih 126387 +4Liq4Li54LiH 126388 +bWFrdA== 126389 +bWFrdGFk 126390 +bWFrdGFkxLFy 126391 +IMO2bmVt 126392 +15nXnteZ150= 126393 +0LHQvg== 126394 +2YjZitip 126395 +4Lij4Li54Lib 126396 +4LmC4Lil4LiB 126397 +2YXZiti5 126398 +0YHRgtGD0L8= 126399 +4LmC4Lit 126400 +2K/ZitmG 126401 +7KSR 126402 +44GX44GP 126403 +4LmA4Liq4Li14Lii 126404 +0LLRiw== 126405 +2YXYqg== 126406 +7ZiE 126407 +44OQ44O8 126408 +2KfYtA== 126409 +16fXoQ== 126410 +IHThu6U= 126411 +4Lil4LiU 126412 +2YHYqQ== 126413 +7ZGc 126414 +2LHYrA== 126415 +a8WCYWQ= 126416 +IMWfZXk= 126417 +INij2YU= 126418 +IOC5gOC4oQ== 126419 +INio2YQ= 126420 +0YHQutCw0Y8= 126421 +44Go44Gu 126422 +IOyLpA== 126423 +4bqlbQ== 126424 +4Lir4LmJ4Lit4LiH 126425 +4LiK4Lih 126426 +ZMO8 126427 +IMOnZWs= 126428 +IOqzoA== 126429 +15LXkQ== 126430 +4LiK4Li14Lin4Li0 126431 +4LiK4Li14Lin4Li04LiV 126432 +2YHYttmE 126433 +4Liv 126434 +w6fEsQ== 126435 +INio2LQ= 126436 +INmH2YbYpw== 126437 +44GN44G+44GX44Gf 126438 +dMO8 126439 +IOyYgQ== 126440 +IFTDvHJr 126441 +0LrRgg== 126442 +16TXqNeh 126443 +44Go44GE44GG44GT44Go 126444 +7ZSE 126445 +4LmB4Lij4LiB 126446 +16jXldef 126447 +IGFyYXM= 126448 +157XpteQ 126449 +IHThu4k= 126450 +2LPYpw== 126451 +4Lie4Lit 126452 +INin2YTZhdit 126453 +44Ok 126454 +INin2YTYp9iz2Ko= 126455 +2YHZhg== 126456 +15nXnteU 126457 +2LHYqg== 126458 +44Go44KC 126459 +INC90LDRgQ== 126460 +0L/RgNC4 126461 +INeX15U= 126462 +0LjQu9Cw 126463 +2YrYtA== 126464 +IGfDtno= 126465 +INeR16DXmQ== 126466 +xLFtxLE= 126467 +INGC0LXRhQ== 126468 +IGjhu5k= 126469 +2LrYsQ== 126470 +0LrQvtC9 126471 +2KfYrdiq 126472 +IOC4ng== 126473 +4Lit4Lit4LiZ 126474 +4Lit4Lit4LiZ4LmE4Lil 126475 +4Lit4Lit4LiZ4LmE4Lil4LiZ4LmM 126476 +0YXQvg== 126477 +0Y/Qsg== 126478 +4LmB4Liq4LiU 126479 +4LmB4Liq4LiU4LiH 126480 +4LmA4Lie4Li14Lii4LiH 126481 +0YLQvtCy 126482 +2KfZig== 126483 +INeU15M= 126484 +INeV15s= 126485 +44KJ44GE 126486 +15XXpNef 126487 +IOu2iA== 126488 +4Lil4Lit4LiH 126489 +2LfYp9mE 126490 +INC90Lg= 126491 +INmF2LPYqg== 126492 +4bq/Yw== 126493 +INep15s= 126494 +IOuVjOusuA== 126495 +4Lin4Lix4LiZ4LiX4Li14LmI 126496 +15nXnNeT 126497 +2K3Ypw== 126498 +0LXRhg== 126499 +IGPhu6k= 126500 +15PXldeo 126501 +INmF2K0= 126502 +16jXm9eR 126503 +2KjZiti5 126504 +0L3QuNC4 126505 +INin2YTYo9mI2YQ= 126506 +4LiE4Lin4Lij 126507 +44Go5oCd44GG 126508 +INCh0L4= 126509 +2KfYptmK2Kk= 126510 +2LHYp9ih 126511 +0L7RgdC+0LE= 126512 +INio2KPZhg== 126513 +16LXldeT 126514 +INGC0LU= 126515 +44GT44GG 126516 +0YHRgtGA0LA= 126517 +0LDQudC9 126518 +IHPDtno= 126519 +2KrZhtin 126520 +4Lit4Li0 126521 +4bq3cA== 126522 +IOyVhOuLiA== 126523 +7ZWt 126524 +INeo15DXqQ== 126525 +IOC5hOC4lOC5iQ== 126526 +INeS15M= 126527 +INeh16TXqA== 126528 +0L7QsdGJ0LU= 126529 +INmI2KU= 126530 +YWRhxZ8= 126531 +44Gh44KH 126532 +16fXldec 126533 +0YDQtdC3 126534 +IGTDvMWfw7xu 126535 +INeR15DXng== 126536 +IOyWtOuW 126537 +16LXqNeR 126538 +0L3QtdC1 126539 +INGB0YLRgNCw0L0= 126540 +2LPYp9mG 126541 +eW7EsQ== 126542 +INin2YTYsdim2YrYsw== 126543 +44GX44Gq 126544 +INeg16o= 126545 +44Gr44Gq44Gj44Gf 126546 +Z8O8 126547 +5Y+X44GR 126548 +15zXqg== 126549 +7KCI 126550 +64qU642w 126551 +2K7Zitix 126552 +4LiV4LmJ4Lit4LiH4LiB4Liy4Lij 126553 +INmE2KPZhg== 126554 +IGNo4buL 126555 +2YjYqQ== 126556 +4LmD4Liq 126557 +67aA7YSw 126558 +7ZWY66m0 126559 +4buvdQ== 126560 +4LmA4Lir4Lih4Li34Lit4LiZ 126561 +0LHQtdGA 126562 +IOydtOyaqQ== 126563 +INGB0LXQsQ== 126564 +d2nEmWtz 126565 +INeg16I= 126566 +0YLRg9GA 126567 +IG5naMSp 126568 +16nXldeY 126569 +dGnEn2k= 126570 +IGRlxJ9p 126571 +15DXkQ== 126572 +INee154= 126573 +44OX44Ot 126574 +d2HFgg== 126575 +4LiI4Li24LiH 126576 +2K7Yr9mF 126577 +15DXnQ== 126578 +xLHFn8Sx 126579 +Y3rEhQ== 126580 +16jXkw== 126581 +INGA0YPQsQ== 126582 +2K7YsdmJ 126583 +44Gu5pa5 126584 +INC00LXQvdGM 126585 +15fXmded 126586 +0LXRgtC1 126587 +64Kc 126588 +15DXkg== 126589 +16LXldeo 126590 +67OE 126591 +5ZCM44GY 126592 +44Ky 126593 +16jXmg== 126594 +15XXqdeQ 126595 +7Jyh 126596 +2KfYrg== 126597 +16bXmdeU 126598 +4buxYQ== 126599 +44GI44Gm 126600 +16nXlNeV 126601 +0LDQvdGC 126602 +4Lil4Liy4LiU 126603 +0LjQvdCz 126604 +66Gg 126605 +2KfYudiv 126606 +2YjYs9i3 126607 +INCy0L7Qvw== 126608 +INCy0L7Qv9GA0L7RgQ== 126609 +2YXZitmG 126610 +4LiE4LiH 126611 +15nXqNeZ150= 126612 +Y8Ozdw== 126613 +6rKp 126614 +IOq3uOufsA== 126615 +IOynhA== 126616 +INep15zXlA== 126617 +4LmA4Lij4Li04LmI4Lih 126618 +4LiK4Lit4Lia 126619 +0LTQtdGC 126620 +0Y7RidC40YU= 126621 +4Lia4Lit4LiB 126622 +5oCd44GE 126623 +2LnZitiv 126624 +16HXng== 126625 +15LXmdei 126626 +16bXkw== 126627 +2KjYp9iq 126628 +IOuUsOudvA== 126629 +4LiI4Lix4LiH 126630 +44Gg44GR44Gn 126631 +16LXmdeo 126632 +INGH0LXQuw== 126633 +INGH0LXQu9C+0LI= 126634 +INGH0LXQu9C+0LLQtdC6 126635 +44OD44OB 126636 +4LmA4LiB4Li14LmI4Lii4Lin 126637 +4LiU4Li0 126638 +INek16I= 126639 +15nXnteZ 126640 +67CY 126641 +2K7Yp9ix 126642 +15HXmdeq 126643 +16LXmded 126644 +w7x5b3I= 126645 +44KB44Gm 126646 +0LrQu9Cw0LQ= 126647 +IOC4iOC4suC4gQ== 126648 +4LmA4LiE4Lii 126649 +4Liq4Lit4LiH 126650 +4LmB4LiE4LmI 126651 +4bqrdQ== 126652 +4Lir4LiZ4Lix4LiH 126653 +16nXnNeV150= 126654 +2KfZhtmK2Kk= 126655 +5Ye65Lya 126656 +5Ye65Lya44GE 126657 +4Lig4Liy4Lii 126658 +4Lia4Liy4LiX 126659 +4LiK4Liy4Lin 126660 +bXXFnw== 126661 +INec16fXkdec 126662 +44K344Oj 126663 +IMSwxZ8= 126664 +15LXk9eV15w= 126665 +2KzYudmE 126666 +67OA 126667 +4Lii4Li04LmI4LiH 126668 +4LiZ4Liy4Lii 126669 +4LiZ4Li14LmI 126670 +4Lin4Li04LiY4Li1 126671 +44KJ44Gq44GE 126672 +66CI 126673 +IOusuOygnA== 126674 +IOC4gQ== 126675 +4LiX4Liz4LiH4Liy4LiZ 126676 +4LmA4Lin4LmH4Lia 126677 +0YTQtQ== 126678 +5qW944GX 126679 +4Liq4Liz4LiE 126680 +4Liq4Liz4LiE4Lix4LiN 126681 +2LHZhQ== 126682 +44GV44KM44Gm 126683 +INC+0LHQu9Cw 126684 +16jXkNeZ 126685 +4Lir4Lih4LiU 126686 +2YbZitip 126687 +0LvQuNC9 126688 +IGXEnw== 126689 +aXRpbQ== 126690 +66C5 126691 +2LXYp9mE 126692 +xZts 126693 +4Lic4Li04LiU 126694 +44Oe44Oz 126695 +5YWl44KM 126696 +4LmA4LiV4Lit4Lij4LmM 126697 +2KfYsdmK 126698 +INCm 126699 +ZMO8cg== 126700 +4Liq4Lin4Lii 126701 +66a9 126702 +2LHZg9ip 126703 +IGjDow== 126704 +15nXqteU 126705 +4LiC4LiZ4Liy 126706 +4LiC4LiZ4Liy4LiU 126707 +4LiI4Liz4LiZ 126708 +4LiI4Liz4LiZ4Lin4LiZ 126709 +16nXlden 126710 +INC00L7QvA== 126711 +7LGF 126712 +44GL44GR 126713 +16TXldec 126714 +4LiK4Liy4Lii 126715 +0YHQvNC+0YLRgA== 126716 +0YHQu9GD0LY= 126717 +16nXkNec 126718 +0LrRgNGL0YI= 126719 +IOyemA== 126720 +6auY44GE 126721 +INGA0YPQug== 126722 +2YbYtQ== 126723 +0LTQsNCy 126724 +xrDhu6E= 126725 +xrDhu6FuZw== 126726 +2LHYp9mF 126727 +15nXoNeZ150= 126728 +44Op44O8 126729 +64Sk 126730 +INiq2Lk= 126731 +bGtl 126732 +5aW944GN 126733 +5oyB44Gh 126734 +IOunjg== 126735 +IHnDvGs= 126736 +INGB0L7RgdGC0LDQsg== 126737 +0LXQvdGC0YA= 126738 +cGXFgg== 126739 +4LmA4Lib4Lil4Li14LmI4Lii 126740 +4LmA4Lib4Lil4Li14LmI4Lii4LiZ 126741 +7Y+J 126742 +44KE44GZ 126743 +15fXlg== 126744 +15HXqNeU 126745 +66Oo 126746 +7JSA 126747 +2KjYrdir 126748 +4LmA4LiV4LmH 126749 +w7N3aQ== 126750 +2KjZhw== 126751 +44GN44G+44GZ 126752 +INei154= 126753 +15LXldec 126754 +0LXQt9C0 126755 +2YrZgdip 126756 +4Liq4LiZ4LmD4LiI 126757 +INeq15w= 126758 +0Y/RiQ== 126759 +INiz2YY= 126760 +INmI2KfYrdiv 126761 +INGB0Lw= 126762 +bGFkxLE= 126763 +xLFsZA== 126764 +15nXqNeq 126765 +4Li14Lii4LiZ 126766 +16rXl9eq 126767 +INC20LjQtw== 126768 +4Lie4Lix 126769 +4Lie4Lix4LiS 126770 +4Lie4Lix4LiS4LiZ4Liy 126771 +4LiK4Li0 126772 +2KfYrtmE 126773 +44Gj44Gm44GE44Gf 126774 +4Lij4Lix4LiQ 126775 +44KB44KL 126776 +4LmC4LiB 126777 +IFThu5U= 126778 +IGhha2s= 126779 +2LHZgQ== 126780 +7KCA 126781 +0YHQvtCx 126782 +44Gq44GR44KM44Gw 126783 +2YfZiA== 126784 +IOuylQ== 126785 +44KG 126786 +INin2YTYs9i52YjYrw== 126787 +INeQ16rXqA== 126788 +2KfYug== 126789 +INec15M= 126790 +4LmB4LiV 126791 +4LmB4LiV4LmI4LiH 126792 +7YyM 126793 +0YPQv9C40YLRjA== 126794 +4Lie4Li34LmJ4LiZ4LiX4Li14LmI 126795 +15HXqteZ 126796 +4LmH4LiB 126797 +xYJhdA== 126798 +IOqwnOyduA== 126799 +7KCV67O0 126800 +0YLQsNC7 126801 +IGfDvHZlbg== 126802 +IMSwbA== 126803 +IOqwgQ== 126804 +INio2Ko= 126805 +157Xldeg15Q= 126806 +INin2YTYrdmD2YjZhQ== 126807 +2YLYp9iq 126808 +4LmB4LiB4LmI 126809 +4Lir4Liy4LiB 126810 +0L3RjA== 126811 +4Lib4Lij4Lix4Lia 126812 +4Lih4Liy4LiT 126813 +INC90LXRgdC6 126814 +INi2 126815 +4Liq4Lih4Lix 126816 +4Liq4Lih4Lix4LiE4Lij 126817 +44GM44GC44KK 126818 +0LzQtdGB0YI= 126819 +INeQ16bXnA== 126820 +INC60L7QvNC/0LDQvdC4 126821 +16HXqA== 126822 +2YrZhdip 126823 +INGF0L7RgNC+ 126824 +INGF0L7RgNC+0Yg= 126825 +INeZ15XXkw== 126826 +w7xz 126827 +15LXmdep 126828 +4Lia4LiX 126829 +2KrZhti4 126830 +4Lin4Liy4LiH 126831 +4Lih4Lir4Liy 126832 +INeb15XXnA== 126833 +4LiC4LmJ4Liy4LiH 126834 +67Cc 126835 +0LPQvtC0 126836 +0LTQsNC9 126837 +44GL44KC44GX44KM44G+44Gb44KT 126838 +44GT44Gh44KJ 126839 +44OQ44Kk 126840 +ZWNlxJ9p 126841 +2K/Zitiv2Kk= 126842 +2YbZiQ== 126843 +IOuLpOydjA== 126844 +4Lin4Li1 126845 +2LrYpw== 126846 +0LvQuNC3 126847 +4LmA4LiU4Li0 126848 +4LmA4LiU4Li04Lih 126849 +INmK2LPYqg== 126850 +IHnEsWzEsQ== 126851 +a2/FhA== 126852 +44Gn44GX44KH44GG44GL 126853 +44GC44Gq 126854 +44GC44Gq44Gf 126855 +0YbQtdC9 126856 +INmI2LI= 126857 +15DXmdep 126858 +4LmI4Lit 126859 +2LHYrQ== 126860 +6rSR 126861 +0YDQsNGB0YI= 126862 +INeU15w= 126863 +44GX44Gm44KC 126864 +157XqNeb 126865 +157XqNeb15Y= 126866 +6YGV44GE 126867 +44Gf44GP 126868 +INGB0YPQtA== 126869 +0LLQtdGB0YLQuA== 126870 +IO2VhOyalA== 126871 +44OV44Kn 126872 +0YLQtdC70YzQvdC+ 126873 +4LmA4Lie4Li34LmI4Lit4LiZ 126874 +xYJ1xbw= 126875 +4LmA4LiU4Li04LiZ4LiX4Liy4LiH 126876 +16nXldeo 126877 +INee15M= 126878 +15XXotec 126879 +2YTYp9mF 126880 +4LmE4LiL 126881 +0LvQtdC5 126882 +0LrRg9GA 126883 +4bqi 126884 +4LiX4Liy4LiZ 126885 +7KeR 126886 +INCz0L7RgNC+0LQ= 126887 +16jXoQ== 126888 +15zXldeS 126889 +bWFzxLFuxLE= 126890 +INC70YPRhw== 126891 +4Lil4LmI4Liy 126892 +7Jq4 126893 +16nXmA== 126894 +INCY0L0= 126895 +7YKk 126896 +2YjZhNin 126897 +7JWg 126898 +INij2YrYttin 126899 +2YPYp9ix 126900 +INin2YTYqti5 126901 +4Liq4Li54LmI 126902 +44K8 126903 +15HXmdeQ 126904 +4Lii4LiB 126905 +INit2YI= 126906 +2LHYqNmK 126907 +44GY44KD44Gq44GE 126908 +4Lij4Lix4LiB4Lip4Liy 126909 +0YXQvtC00LjRgg== 126910 +4LiV4Lit4Lia 126911 +16DXmNeZ 126912 +INin2YTZhdis 126913 +2KrZhdi5 126914 +0L7QstCw0YLRjA== 126915 +2YTZitmG 126916 +15nXnteV16o= 126917 +IG3DuQ== 126918 +bsSZ 126919 +INiv2Yo= 126920 +15vXqdeZ15U= 126921 +IGhpw6c= 126922 +65GQ 126923 +2YjYp9ih 126924 +2YjYtw== 126925 +INin2YTYqNmE 126926 +4LmB4Lih4LmJ 126927 +16fXldeq 126928 +2YjYrNiv 126929 +5aeL44KB 126930 +2YrYptip 126931 +IOunpA== 126932 +2LXYqNit 126933 +16TXkA== 126934 +0LPQvtGA 126935 +16HXlA== 126936 +2KjZitmC 126937 +4Lii4Liy4LiB 126938 +INC90LDQtA== 126939 +2YrZkQ== 126940 +INio2Yg= 126941 +16HXldeo 126942 +2YXZg9in2YY= 126943 +16jXkQ== 126944 +15LXlg== 126945 +16bXqg== 126946 +YmlsaXQ= 126947 +0LvQsNCz 126948 +IE5nbw== 126949 +15DXldeo 126950 +4LiV4LiZ 126951 +7Yq5 126952 +4LiX4Li14LmI4LiU4Li1 126953 +4Lib4Lij4Liw4LiI4Liz 126954 +0L7QstCw0L3QuNC1 126955 +44GE44Gk 126956 +44OD44Kv44K5 126957 +5ZCI44KP 126958 +5ZCI44KP44Gb 126959 +15nXoNeV15k= 126960 +4bqheQ== 126961 +2KvZgg== 126962 +INC/0YDQvtCx 126963 +INC/0YDQvtCx0LvQtdC8 126964 +xZ9laA== 126965 +xZ9laGly 126966 +2LnYp9iv2Kk= 126967 +2KfZhtmI2YY= 126968 +4LiV4Lix4Lin4LmA4Lit4LiH 126969 +7LaV 126970 +xLFsYW4= 126971 +0LHQsNC9 126972 +44Oz44OJ 126973 +4LiI4Li1 126974 +INeU16nXoNeZ 126975 +0L/QvtGC 126976 +15XXnNeZ150= 126977 +4Lil4Lix4Lia 126978 +INGN0YLQuA== 126979 +15HXp9ep 126980 +67mE7Iqk 126981 +4Lit4Lii4LmI4Liy4LiH4LmE4Lij 126982 +15nXnNeZ 126983 +4LmD4LiK4LmI 126984 +INin2YTZg9mE 126985 +44Oa44O844K4 126986 +2LXYqQ== 126987 +0YLQuNGA 126988 +44KT44Gp 126989 +0LfRi9C6 126990 +d3nFvA== 126991 +2YfZig== 126992 +INmF2YTZig== 126993 +INCy0LjQtNC1 126994 +2LjYp9mF 126995 +2K/Yp9mI2YQ= 126996 +157XqteZ 126997 +IHPEsWs= 126998 +4LmA4LiV4Li04Lih 126999 +44Ki44Kk 127000 +0LrQsNGF 127001 +16bXmdec 127002 +4LmA4LiK4LmI4LiZ 127003 +0LzQsNCz 127004 +0LzQsNCz0LDQtw== 127005 +0LzQsNCz0LDQt9C40L0= 127006 +4Lib4Lix 127007 +4Lib4Lix4LiI 127008 +INep15nXqNeV16o= 127009 +4Li14Lii4Lih 127010 +44OW44Or 127011 +INiv2YjZhA== 127012 +16fXqNeZ150= 127013 +2YfZjw== 127014 +0L7QstC+ 127015 +IMO8cmV0 127016 +2K/ZiNmG 127017 +4LmB4LiZ4Lin 127018 +4LmA4LiZ4Li34LmJ4Lit 127019 +INGE0L7Rgg== 127020 +44OY 127021 +44Gk44GL 127022 +0Y/RgQ== 127023 +IO2VmOuCmOuLmA== 127024 +2KfYpti5 127025 +INC/0LvQsNGC 127026 +7JiI 127027 +IGRvc3TEmXA= 127028 +2YjYrNmH 127029 +INeU15fXmQ== 127030 +16DXmden 127031 +0LTQtdC5 127032 +7ZuE 127033 +xLF5 127034 +2KjYrdix 127035 +4LmA4Liq4Lij4Li04Lih 127036 +INec15I= 127037 +2LDZh9io 127038 +2KzZitmE 127039 +2LHZg9iy 127040 +IOuF 127041 +IOuFuA== 127042 +16TXmdec15U= 127043 +44G+44Ga 127044 +aXJpxZ8= 127045 +INmD2YrZgQ== 127046 +INeR16Y= 127047 +IOq1kA== 127048 +0YDQvtGB0YE= 127049 +INi02Yo= 127050 +IGnDp2Vy 127051 +15LXldeR15Q= 127052 +0LzQtdC90L3Qvg== 127053 +16LXkdeZ16g= 127054 +15XXnteU 127055 +44KJ44GX44GE 127056 +44G8 127057 +0YnQuNC9 127058 +6LK344GE 127059 +2KzZhdmI2LnYqQ== 127060 +IGTDtm5lbQ== 127061 +INeR15DXqA== 127062 +0LLQtdGB0YI= 127063 +15XXqNeV16o= 127064 +2LPZgQ== 127065 +4LmB4LiX4LiZ 127066 +INC00L7QutGD0LzQtdC90YI= 127067 +INin2Yo= 127068 +2KzYp9mG 127069 +16bXldei15k= 127070 +INC+0YHQvtCx 127071 +INin2YTZhdiz 127072 +0YDQsNCx 127073 +4Lig4Li5 127074 +4LiU4Liy4Lin 127075 +0LvQtdC60YI= 127076 +2LnZgg== 127077 +15XXk9eV16o= 127078 +IG9sdQ== 127079 +IG9sdcWfdHVy 127080 +44G+44G+ 127081 +0LXQtNC40L0= 127082 +4LmA4Lit4LiB 127083 +44K144Kk 127084 +64SI 127085 +2LfZhtmK 127086 +2LfZgtip 127087 +INCg0LDQtw== 127088 +2YTZkQ== 127089 +0YfQtdC8 127090 +INec15g= 127091 +4Liq4Lix4LmI4LiH 127092 +2LPYsdin2KbZitmE 127093 +INek16jXmNeZ 127094 +0LTQtdGB0Yw= 127095 +INeg15s= 127096 +2KfZhtio 127097 +2YrYp9ip 127098 +2YXYqNix 127099 +IGvEsQ== 127100 +4Lib4LiP 127101 +4Lib4LiP4Li0 127102 +4Lia4Lix4LiV4Li0 127103 +16DXqteZ 127104 +7Iah 127105 +2LHYp9io 127106 +4LmD4LiV 127107 +4LmD4LiV4LmJ 127108 +15nXoNeq 127109 +2YjZitix 127110 +INeU157XmQ== 127111 +0LXQudGH0LDRgQ== 127112 +16fXldeR 127113 +2K/Ysdin2LM= 127114 +INmF2YI= 127115 +2LHZitmG 127116 +2K7Yp9i1 127117 +44GK6YeR 127118 +INis2K/Ypw== 127119 +44GG44Gh 127120 +64W4 127121 +xLFyxLFt 127122 +5qeY 127123 +44Gr5a8= 127124 +44Gr5a++ 127125 +0YbQtdCy 127126 +IHZhcmQ= 127127 +INCQ0L0= 127128 +ZcSf 127129 +0YHRgtCy0LXQvdC90L4= 127130 +0Kg= 127131 +2LPYrw== 127132 +4LiB4Li4 127133 +4LmB4Lic4LiZ 127134 +4Lij4Li54LmJ4Liq 127135 +4Lij4Li54LmJ4Liq4Li24LiB 127136 +2KfYqtit2KfYrw== 127137 +0ZHRgg== 127138 +15fXlden 127139 +44GZ44GQ 127140 +2LfZhNin2YI= 127141 +INen15XXkw== 127142 +4LmD4LiK4LmJ4LiH 127143 +4LmD4LiK4LmJ4LiH4Liy4LiZ 127144 +44O844K/ 127145 +IHPDvHI= 127146 +0YDQvtC6 127147 +67OR 127148 +4Liq4Lih4Liy4LiK 127149 +4Liq4Lih4Liy4LiK4Li04LiB 127150 +44OV44Os 127151 +6L6844G/ 127152 +44K744Oz 127153 +IOqwgOyngA== 127154 +4Lic4LmJ4Liy 127155 +0Y3RgtC+0LzRgw== 127156 +0LjRgtC10Ls= 127157 +4Lig4Lix 127158 +4LiR 127159 +44OW44Op 127160 +15vXqteV15E= 127161 +16DXnQ== 127162 +0LXQvdC90YvQtQ== 127163 +16LXqNeb16o= 127164 +IOyC 127165 +IOyCtA== 127166 +4LiC4LmJ4Liy 127167 +16DXldeh 127168 +44Os44OT 127169 +0YDQtdGB 127170 +4LmA4Lil4LiC 127171 +2KvYp9mE 127172 +7JeG 127173 +INGH0LDRgdGC 127174 +4Liy4Lio 127175 +44Oq44Ki 127176 +dcOn 127177 +15nXm9eV16o= 127178 +4Lil4LmJ4Liy4LiZ 127179 +acOr 127180 +44K444Kn 127181 +4LiI4Lit 127182 +2YjYrdiv 127183 +15nXpteV15E= 127184 +INeR16nXnA== 127185 +0L7QutC+ 127186 +2LbYqQ== 127187 +2LDYsQ== 127188 +INGD0LQ= 127189 +xLBM 127190 +15XXpteZ150= 127191 +15bXntef 127192 +4Lib4LiB 127193 +7ZWZ6rWQ 127194 +2LPYp9mF 127195 +4LmE4LiU 127196 +4Lil4Liw4LmA4Lit 127197 +4Lil4Liw4LmA4Lit4Li14Lii 127198 +4Lil4Liw4LmA4Lit4Li14Lii4LiU 127199 +4bqjeQ== 127200 +0LDRhtC40L7QvQ== 127201 +44K544Kv 127202 +16TXldeh 127203 +4Lij4LmI4Liy4LiH 127204 +0LXQvdC90YvQuQ== 127205 +2LnZhg== 127206 +2LnZhNmG 127207 +2KfYptmB 127208 +ZMSZ 127209 +2KTZiNmE 127210 +15zXldeV 127211 +INeR16nXkQ== 127212 +5LuK5Zue 127213 +INin2YTYrNmG 127214 +2K/Yp9iv 127215 +d2HEhw== 127216 +44Oq44Oz 127217 +IOyekOyLoA== 127218 +2KfZhtmK2Kc= 127219 +44Oh44Oq 127220 +2YTZiNmG 127221 +4LiX4LmI4Lit4LiH 127222 +4LiX4LmI4Lit4LiH4LmA4LiX4Li14LmI4Lii4Lin 127223 +2KfZgdmK 127224 +INC70LjRiA== 127225 +2YXZitip 127226 +0L7RgtCy0LXRgg== 127227 +0YfQuNC9 127228 +w4o= 127229 +44Oh44Oz 127230 +5a6f 127231 +6Zqb44Gr 127232 +INGA0LDQuQ== 127233 +44Km44Oz 127234 +15nXqNeV16k= 127235 +15nXqNeV16nXnNeZ150= 127236 +4Lih4Liw 127237 +IGFyYQ== 127238 +0LrQsNC30LDRgtGM 127239 +4LiV4Lix4LiU 127240 +0YPRjtGC 127241 +IMO8c3Q= 127242 +15LXldeR 127243 +15LXldeR15XXqg== 127244 +bWFsxLE= 127245 +0LXQs9C+0LQ= 127246 +0LXQs9C+0LTQvdGP 127247 +2KfZgdmC 127248 +4LiK4LmI4Lit4LiH 127249 +IMO2emVsbGlr 127250 +15nXpteV16g= 127251 +IG1pxJlk 127252 +IGlsacWf 127253 +INC90LDRhdC+0LQ= 127254 +16LXlteo 127255 +15zXm9eq 127256 +2YbYqtin2Kw= 127257 +INGB0LXQvA== 127258 +4LiI4LmI4Liy4Lii 127259 +4LiV4Lij4Lin 127260 +4LiV4Lij4Lin4LiI 127261 +16TXqNeV 127262 +4LiC4Lix4Lia 127263 +44Ge 127264 +INC/0LvQvg== 127265 +0LrQvtC70Yw= 127266 +157XoteY 127267 +7ZWY7Iuc 127268 +asSFY2U= 127269 +2YbYp9mG 127270 +4Lil4Li14LiB 127271 +0L3Rg9GC 127272 +INC+0LHRgNCw0Lc= 127273 +2YPYqNix 127274 +INin2YTZiNi32YY= 127275 +44GV44Gb44Gm 127276 +2YLYp9ih 127277 +157Xk9eZ16A= 127278 +ecO8 127279 +16TXmdeq 127280 +16DXldef 127281 +2YXZhti4 127282 +4Lir4LiZ4Lix4LiB 127283 +7J6I 127284 +44Kr44O844OJ 127285 +2LnZhtmK 127286 +0L/QvtC0 127287 +2LbYp9ih 127288 +4LiZ4LiV4LmM 127289 +157Xqdek 127290 +4Lin4LmM 127291 +16jXlden 127292 +4Liq4Li34LmI4Lit 127293 +16TXp9eZ15M= 127294 +44Gq44KJ44Gq44GE 127295 +IOyXrOufrA== 127296 +2YTYrA== 127297 +0YnQuNGC 127298 +44OD44K3 127299 +2YTZitiz 127300 +INmE2YXYpw== 127301 +7KCR 127302 +15HXmdef 127303 +44OB44Kn 127304 +IGfDvMOn 127305 +IGNo4bup 127306 +15XXpteQ 127307 +16fXqNeR 127308 +4LmC4Lie 127309 +0L7Rh9C90L4= 127310 +16HXp9eZ 127311 +16nXnNed 127312 +2LXYsdmB 127313 +IEzDoA== 127314 +16LXmdeq 127315 +4bu3 127316 +4LmC4Lit4LiB 127317 +4LmC4Lit4LiB4Liy 127318 +4LmC4Lit4LiB4Liy4Liq 127319 +INeU15PXkdeo 127320 +4LiZ4Lix4LmI4LiZ 127321 +2LLYsQ== 127322 +0L3QsNC60L4= 127323 +7ZqN 127324 +44KC44Gh 127325 +44KC44Gh44KN 127326 +44KC44Gh44KN44KT 127327 +2KfZhdiq 127328 +2LnYr9in2K8= 127329 +0LjQvdGL 127330 +xYJ5dw== 127331 +4LiE4LiT4Liw 127332 +4LiX4Liw 127333 +a3TDtnI= 127334 +15nXl9eU 127335 +INC80LU= 127336 +INC80LXRgdGP 127337 +16DXlNeS 127338 +INGB0YPRidC10YHRgtCy 127339 +4LiZ4Lix4LiZ 127340 +0YTRhA== 127341 +0LXQutGC0LjQsg== 127342 +2LnZhNmI2YXYp9iq 127343 +0LHRg9C0 127344 +4LiZ4Lix4LiB4LiH4Liy4LiZ 127345 +4Lir4LiZ4LmJ4Liy4LiX4Li14LmI 127346 +2YLZitmC 127347 +44K344Oz 127348 +44Gr6Zai 127349 +15DXqNeS 127350 +INC/0YDQvtGC 127351 +INC/0YDQvtGC0LjQsg== 127352 +IOyeiOyWtA== 127353 +2YLZitmC2Kk= 127354 +7JeH 127355 +a8O8cg== 127356 +44Gr44Gq44KK44G+44GX44Gf 127357 +INC00LXRj9GC 127358 +INC00LXRj9GC0LXQu9GM 127359 +16TXldeo15g= 127360 +4Lif4LmJ4Liy 127361 +4LmA4Lig 127362 +INCw0LLRgtC+0LzQsNGC 127363 +15bXmden 127364 +IG9sZHVr 127365 +2LnYp9mF 127366 +INGC0L7RgA== 127367 +eXLEsWNh 127368 +w6rM 127369 +44Kt44Oz44Kw 127370 +44Gr44Go44Gj44Gm 127371 +4LmA4LiJ4Lie 127372 +4LmA4LiJ4Lie4Liy4Liw 127373 +44Gv44Ga 127374 +157XkNeZ 127375 +4Liq4Liw4LiU 127376 +4Liq4Liw4LiU4Lin4LiB 127377 +7Jy866mw 127378 +4LiB4Li1 127379 +4Lis 127380 +INei15XXqQ== 127381 +4Lig4Liy4Lip4Liy 127382 +4LiX4Lix4LiZ 127383 +YWNha3Q= 127384 +YWNha3TEsXI= 127385 +2KfYudiv2Kk= 127386 +INGD0YHQu9GD0LM= 127387 +16HXqNeY 127388 +15XXnteV16o= 127389 +15TXldeo 127390 +157XldeR 127391 +157XldeR158= 127392 +2LPZitin2LM= 127393 +2KfYqtmB2KfZgg== 127394 +15TXptec 127395 +2YXYpNiz 127396 +IHDDsw== 127397 +INC60L3QuA== 127398 +15nXm9eV15w= 127399 +4LmA4Lir4Lil4Li34Lit 127400 +15vXnNeb 127401 +16DXlg== 127402 +0YjQuNC1 127403 +csOocw== 127404 +INin2YTYrdmC 127405 +0LvRj9GA 127406 +4Lir4LiN 127407 +4Lir4LiN4Li04LiH 127408 +16jXkteZ16k= 127409 +4LmA4Liq4LmJ4LiZ 127410 +16nXkdeV158= 127411 +w7R0ZWw= 127412 +0LDQv9GA 127413 +0LDQv9GA0LjQvNC10YA= 127414 +2KfYqNmE 127415 +INGA0LDQt9Cy0LjRgg== 127416 +INC/0L7Qu9GM0Lc= 127417 +INCh0LXRgA== 127418 +15XXkdeZ 127419 +csOzxbw= 127420 +7Iut 127421 +44Kv44OI 127422 +44GX44KI44GG 127423 +4LiB4Lij4Lih 127424 +2K3Zg9mI2YU= 127425 +4LmC4Lia 127426 +4LiX4LmJ4Liy4Lii 127427 +IE3DoQ== 127428 +INGC0Ys= 127429 +4LiE4Lij4Lix4Lin 127430 +0YDRg9Cx 127431 +4bqhcA== 127432 +IG3Fgg== 127433 +IG3Fgm9k 127434 +IGfDtnLDvMWf 127435 +IGdlbGnFnw== 127436 +xrDGoWk= 127437 +157Xqden 127438 +2YDZgNmA2YA= 127439 +4Lij4Liy4Lin 127440 +44GX44Gj 127441 +44GX44Gj44GL44KK 127442 +INCa0L7QvQ== 127443 +IGvDqg== 127444 +4LmC4LiX4Lij 127445 +6JC944Gh 127446 +5Ye644Gm 127447 +4Lil4Lix4LiB4Lip 127448 +INeS15HXldeU 127449 +44OZ44Or 127450 +6rGw64KY 127451 +66eQ 127452 +15nXnNeT15nXnQ== 127453 +IOuEiA== 127454 +157XqNeZ 127455 +4Lij4Liq 127456 +44Ot44Oz 127457 +0LjQu9C+ 127458 +0L3QvtGB0YLRjNGO 127459 +15bXqNeX 127460 +0L/QvtC9 127461 +INeU16nXnA== 127462 +6rKg7Iq164uI64uk 127463 +IGtpxZ8= 127464 +INCa0Lg= 127465 +4Lin4Lij 127466 +2K/Yp9i5 127467 +xZ9pbQ== 127468 +2YbZkQ== 127469 +0LLQsNGC 127470 +2LHYp9mD 127471 +2KjYp9mE 127472 +0LjQtNC1 127473 +INeU157Xlw== 127474 +7Ja1 127475 +2KrZgdin2Lk= 127476 +2KPYqg== 127477 +64qY 127478 +16nXmdeq 127479 +2LPYqtmF2LE= 127480 +INGE0LDQug== 127481 +INin2YTYo9mF2LHZig== 127482 +656o 127483 +2KfYs9mF 127484 +IGHEnw== 127485 +IMOnZXY= 127486 +2YPZiNix 127487 +44GV44G+ 127488 +IMOnw7Z6 127489 +INix2LM= 127490 +xIVkYQ== 127491 +4Liq4LiZ4Li4 127492 +44GX44Gm44GP44KM 127493 +0L3Rjg== 127494 +bGXFn21l 127495 +44Kq44Oz 127496 +44Go44Gq44KK 127497 +YXZhxZ8= 127498 +15jXmdeR 127499 +2K3Ytg== 127500 +15XXpteQ15XXqg== 127501 +2YbZhdmI 127502 +xLF0 127503 +INGF0LA= 127504 +INGF0LDRgNCw0Lo= 127505 +INGF0LDRgNCw0LrRgtC10YA= 127506 +IGTFgg== 127507 +44OX44Op 127508 +4LiK4Li44Lih 127509 +4LmI4Lit4LiZ 127510 +15XXkdec 127511 +0YHQvtC7 127512 +15PXkg== 127513 +0LDRgNCw0YI= 127514 +bml2ZXJz 127515 +IGdlcsOnZWtsZcWfdGly 127516 +INin2YTZhNmK 127517 +4Lij4Liw4Lii4Liw 127518 +INmF2K7YqtmE2YE= 127519 +IGfDtm5kZXI= 127520 +2YHYp9ix 127521 +ZG/Enw== 127522 +ZG/En2Fu 127523 +2LXZhNin2K0= 127524 +IHlhecSxbg== 127525 +44OG44Oz 127526 +4Lij4Lin4LiI 127527 +15nXl9eZ15M= 127528 +w7xua8O8 127529 +0YbQuNCw0LvRjNC9 127530 +4Lia4Li5 127531 +4Lih4Li4 127532 +aMOk 127533 +2K7ZgQ== 127534 +5aKX 127535 +5aKX44GI 127536 +0LXRh9C90L4= 127537 +INin2YTYs9mG 127538 +4LiC4Liy4Lin 127539 +aW1kaQ== 127540 +0Ks= 127541 +4LiZ4Lit4LiB4LiI4Liy4LiB 127542 +4Lia4Liy4Lil 127543 +16rXqQ== 127544 +IGTDvHplbmxl 127545 +0LzRi9GB0Ls= 127546 +44GP44Gq 127547 +xbx1 127548 +IHdzcMOzxYI= 127549 +INC90LDQtw== 127550 +xLFuZGFraQ== 127551 +2KrYsdip 127552 +xZ9law== 127553 +IMO2ZA== 127554 +INmI2YM= 127555 +INC/0L7Qt9Cy0L7Qu9GP 127556 +INeq15XXmw== 127557 +2YXZhtiq2Kw= 127558 +66eJ 127559 +INin2YTYq9mE2KfYqw== 127560 +0LDRhtC40Y4= 127561 +2YjYsdmI 127562 +0YvQstCw0LXRgg== 127563 +2K7Ytdi1 127564 +INin2YTZgdmE 127565 +INin2YTZgdmE2LPYt9mK2YY= 127566 +2KXYrNix 127567 +2KXYrNix2KfYoQ== 127568 +2KfZhtiq2K4= 127569 +2KfZhtiq2K7Yp9io 127570 +2KfYsdmK2Kk= 127571 +15XW 127572 +2KLZhg== 127573 +157XoteV16o= 127574 +INC80LDQuw== 127575 +INeQ15c= 127576 +4LiX4LmJ4Lit4LiH 127577 +emXFmw== 127578 +IOunjOuTpA== 127579 +2LHZiti5 127580 +5LqL44KS 127581 +4Lia4Lij4Li04Lir4Liy4Lij 127582 +15zXnteZ15M= 127583 +INC80YPQtg== 127584 +2KrYsdmI 127585 +INio2KfZhNil 127586 +16TXmden 127587 +2LLZhdip 127588 +IMO2xJ9yZW5j 127589 +44O2 127590 +2KfZhdi52Kk= 127591 +16fXkdeV16Y= 127592 +157XoNeV16o= 127593 +2LHZitmF 127594 +INC+0LrQsNC3 127595 +44Gg44GR44Gp 127596 +IGjEsXo= 127597 +INep15DXqg== 127598 +44Ki44O8 127599 +IG1vxbxsaXdv 127600 +7IS8 127601 +2YjYp9io 127602 +0L7Qs9GA0LDRhA== 127603 +INi52KjYr9in2YQ= 127604 +44KS6KGM 127605 +2KjZitmE 127606 +IMSww6c= 127607 +4Lii4Liy4Lii 127608 +INGD0YfQsNGB0YI= 127609 +0YTQtdGB0YE= 127610 +0YTQtdGB0YHQuNC+0L3QsA== 127611 +4bqk 127612 +2YbZitmG 127613 +2LnYr9mE 127614 +4Liq4Lij4Lij 127615 +2K/ZitmE 127616 +15HXmden 127617 +Y3p5xYI= 127618 +0YDQvtC80LU= 127619 +INC80LXQtA== 127620 +7JmU 127621 +44Op44Kk44Oz 127622 +INGC0LXQvw== 127623 +0LXRgNGM 127624 +acSfaQ== 127625 +0LLQtdC70Lg= 127626 +0YDQuNGB0YI= 127627 +16HXldek 127628 +157XnNeX 127629 +INin2YTYpdmG 127630 +INec15TXqQ== 127631 +6LaK44GX 127632 +INGA0Ys= 127633 +15XXkNeo 127634 +2LHZh9in2Kg= 127635 +16TXldeQ15k= 127636 +INCz0L7RgdGD0LQ= 127637 +INCz0L7RgdGD0LTQsNGA 127638 +INCz0L7RgdGD0LTQsNGA0YHRgtCy 127639 +INin2YTYo9mF2YrYsQ== 127640 +2YXYrA== 127641 +4LmA4Lir4Lih4Liy4Liw 127642 +0YDQtdCy 127643 +4LiK4Li14Lie 127644 +44OV44OI 127645 +0LjRh9C90L4= 127646 +INin2YTZhdik 127647 +IGlodA== 127648 +7YWc 127649 +2K/ZhtmK 127650 +2LHYtQ== 127651 +0LvQsNGB0YI= 127652 +4LmA4Lir4Lil4LmI4Liy 127653 +xLFsxLFy 127654 +4Lij4LiT4LmM 127655 +157XqdeZ15o= 127656 +IGThu4s= 127657 +2LfZgdin2YQ= 127658 +15jXldef 127659 +INeR15nXoA== 127660 +44G+44Gj44Gf 127661 +0LvQvtC20LXQvdC40Y8= 127662 +2KrYrdix 127663 +2KjYp9it 127664 +4LmA4Liq4Li34LmJ4Lit 127665 +44GZ44GU 127666 +bHTDvHI= 127667 +4LiH4Liy4Lih 127668 +IHTDvA== 127669 +INC/0YDQuNC8 127670 +INC/0YDQuNC80LXQvQ== 127671 +IGhheWF0 127672 +64OQ 127673 +64uM 127674 +16DXmdeV 127675 +0LLQtdC00LXQvQ== 127676 +7IWo 127677 +4LiI4Lix4Lii 127678 +4LiB4LmI4Lit 127679 +INCy0L7QtA== 127680 +0L7RgdGC0L7Rjw== 127681 +0L3QsNGC 127682 +4LmB4Lir4Lil 127683 +2LPZhdmK 127684 +4LiU4Liz4LmA4LiZ 127685 +4LiU4Liz4LmA4LiZ4Li04LiZ 127686 +d8OzZA== 127687 +w7Z5bGU= 127688 +44OA44Kk 127689 +0YjQuNC5 127690 +0LzQtdGJ0LXQvQ== 127691 +44GX44G+44GG 127692 +44OJ44Op 127693 +2YjYttit 127694 +4Lit4LiZ4Li4 127695 +INin2YTYp9is2KrZhdin2Lk= 127696 +bGHFn21h 127697 +4LiE4Lit4LiZ 127698 +157XqNeZ150= 127699 +2YbYp9mF2Kw= 127700 +16nXqNeV16o= 127701 +2KfZhNij 127702 +IGtzacSFxbw= 127703 +INCw0L0= 127704 +0YDQsNC5 127705 +2KfZh9ix2Kk= 127706 +157Xk9eU 127707 +5LiA57c= 127708 +5LiA57eS 127709 +5LiA57eS44Gr 127710 +0YDQuNGC0L7RgA== 127711 +ZMSxa2w= 127712 +4LmB4LiW 127713 +4LmB4LiC4LmI4LiH 127714 +0LXQutGC0L7RgA== 127715 +157Xodei 127716 +0YDQsNC60YLQuA== 127717 +dcSfdQ== 127718 +15XXkdeq 127719 +4Liq4Li54LiV4Lij 127720 +IMOnYWzEscWfbQ== 127721 +IMOnYWzEscWfbWFsYXI= 127722 +INCw0L3QsA== 127723 +44Ob44O844Og 127724 +IGLDtmzDvG0= 127725 +INio2LU= 127726 +0L7Qu9C+0YE= 127727 +IOyViuuKlA== 127728 +4LmI4Liw 127729 +2YjYqtix 127730 +5LmX 127731 +2LPYqtiu2K/Yp9mF 127732 +16TXmdeZ16E= 127733 +16TXmdeZ16HXkQ== 127734 +16TXmdeZ16HXkdeV16c= 127735 +INC60YDQsNGB 127736 +0LvQuNC6 127737 +2LHZitit 127738 +157Xqdec15Q= 127739 +4LmA4Lii4Li14LmI4Lii 127740 +4LmA4Lii4Li14LmI4Lii4Lih 127741 +0LLQuNGB 127742 +0L7QvNC9 127743 +xJ91bg== 127744 +44Ot44O844Oz 127745 +2KPYqtmK 127746 +4LiV4Lij4Li1 127747 +55Sz44GX 127748 +2KrZhdix 127749 +7JeI7Iq164uI64uk 127750 +INmI2LrZitix 127751 +cmVkbmk= 127752 +INin2YTYtdmB 127753 +INC90LDRgdGC0L7Rjw== 127754 +INC90LDRgdGC0L7Rj9GJ 127755 +4LiV4Lij4Liy 127756 +INGD0YHQu9C+0LI= 127757 +INGD0YHQu9C+0LLQuNGP 127758 +0YbQtdC/ 127759 +15TXl9ec15g= 127760 +2LfZiti5 127761 +IEJha2Fu 127762 +INin2YTYsdmI 127763 +0LjQu9GM0L3Qvg== 127764 +INC80LXRgg== 127765 +4LiU4Lit4LiB 127766 +44GL44KJ44Gq44GE 127767 +INC/0L7RgdGC0L7Rjw== 127768 +INC/0L7RgdGC0L7Rj9C9 127769 +INGH0LDRgQ== 127770 +w7xj 127771 +d3LDsw== 127772 +0LHRg9GA 127773 +44OQ44OD44Kv 127774 +44Op44Oz44OJ 127775 +INC+0LPRgA== 127776 +4Liq4Lix4LiN 127777 +4Liq4Lix4LiN4LiN4Liy 127778 +4Lih4Lix4LmI4LiZ 127779 +4LiE4Lit4Lih 127780 +YWzEsWs= 127781 +INC90LXQtA== 127782 +w7xtw7x6 127783 +IMWbd2ll 127784 +w6lyaW8= 127785 +15nXkNeU 127786 +2K/Zhdin2Ko= 127787 +xLFybA== 127788 +INC+0YLQtw== 127789 +INC+0YLQt9GL0LI= 127790 +5LuY44GN 127791 +IGthxbxkZQ== 127792 +0LzQuNC90LjRgdGC 127793 +44Kw44Or 127794 +67CW 127795 +0LXQt9C9 127796 +2KfZhNmB 127797 +INep16fXnA== 127798 +2YXYtg== 127799 +44Od44O844OI 127800 +2YXZhtiq 127801 +2YLZitin2YU= 127802 +2LTZhg== 127803 +15nXqNeV16I= 127804 +44Kt44Oj44Oz 127805 +0LTQvtGA0L7Qsg== 127806 +157Xmdeq15k= 127807 +2YjZhNmI2Kw= 127808 +2YPYp9mB 127809 +INGA0LDQt9C70LjRhw== 127810 +0LjRgtC10YI= 127811 +0L3QvtC70L7Qsw== 127812 +4Lil4LiH4LiX4Li44LiZ 127813 +IHlha2xhxZ8= 127814 +44Os44Kk 127815 +6rKg64uk 127816 +5rGC44KB 127817 +2LHZiNmB 127818 +IO2K 127819 +IO2KuQ== 127820 +44Gj44GP44KK 127821 +4LiE4Lin4Liy4Lih4LiE4Li04LiU 127822 +15TXmdeh15g= 127823 +2KXZgg== 127824 +44Gm44GE 127825 +4LmC4LiK 127826 +IELDvHnDvGs= 127827 +INCk0LXQtNC10YA= 127828 +0YbQuNC9 127829 +0YDQvtCy0LA= 127830 +INin2YTYp9mC2KrYtdin2K8= 127831 +IGNow6E= 127832 +4LiY4Liy4LiZ 127833 +66Wg 127834 +4LmE4LiV 127835 +w61waW8= 127836 +2YvYpw== 127837 +INC+0LHRj9C3 127838 +2YfYrA== 127839 +IOykkeyalA== 127840 +44Gu44Gn44Gv44Gq44GE 127841 +2KjYp9ix2KfYqQ== 127842 +44Kk44Or 127843 +INC90L7RgNC8 127844 +4buJbmg= 127845 +bcO2 127846 +bcO2Z2xpY2g= 127847 +0YbQuNC/ 127848 +44Ki44Kv 127849 +15TXmQ== 127850 +0YbQuNCw0LvRjNC90L4= 127851 +IMWbd2k= 127852 +2KrZgg== 127853 +INGB0YLQvtC40Lw= 127854 +2KjZiti52Yo= 127855 +INec16nXng== 127856 +0LPQu9GP 127857 +0LPQu9GP0LQ= 127858 +44Gm44GP44KM 127859 +xJlkemk= 127860 +4LiC4Lix 127861 +4LiC4Lix4LmJ4LiZ 127862 +2LfZgg== 127863 +IOyXrQ== 127864 +44Gj44Gm44GX44G+44GG 127865 +IGRlxJ9lcmw= 127866 +IGRlxJ9lcmxlbmRpcg== 127867 +IMO8bGs= 127868 +INC80L3QvtCz 127869 +4LmL 127870 +67+Q 127871 +INCj0LrRgNCw 127872 +xJ9pbmk= 127873 +INCx0LXQt9C+0L8= 127874 +INCx0LXQt9C+0L/QsNGB 127875 +4Lit4Lit4LiB4LmB4Lia4Lia 127876 +2KfYuA== 127877 +2K3Yr9in2Ks= 127878 +0LvQtdGA 127879 +15nXpQ== 127880 +15nXoNeY16jXoNeY 127881 +bGFyxLFuxLF6 127882 +2K3Zitit 127883 +xbxlbGk= 127884 +4Lit4Lix4LiH 127885 +4Lit4Lix4LiH4LiB 127886 +4Lit4Lix4LiH4LiB4Lik4Lip 127887 +INC+0YLQu9C40Yc= 127888 +4Lix4Liq 127889 +656N 127890 +0L7QttC90L4= 127891 +44K544Od 127892 +INGF0L7Rhw== 127893 +INC60LDQvw== 127894 +0LXRh9C10L0= 127895 +2K3ZhNip 127896 +2YrYp9mH 127897 +0L3QsNC7 127898 +15XXpteo15nXnQ== 127899 +IGthbGQ= 127900 +5YON 127901 +INin2YTYtNiu2LU= 127902 +INC30L3QsA== 127903 +IHd6Z2w= 127904 +xbx5Y3o= 127905 +6rCd 127906 +4Lie4Lil4Lix4LiH 127907 +7YG8 127908 +IMO2bA== 127909 +IGLhu6U= 127910 +2LTZh9ix 127911 +INC30LDQvA== 127912 +INC00LXQsg== 127913 +15nXmNeq 127914 +2KrYudmE2YI= 127915 +2YjZhdip 127916 +44KS5L2c 127917 +44GN44Gm 127918 +7YOd 127919 +cmFzxLFuZGE= 127920 +44KS5o6i 127921 +INmF2KjYp9i02LE= 127922 +2LHYp9is2Lk= 127923 +INCy0L7Qt9C0 127924 +2YXYrdin 127925 +15XXqdeo 127926 +INC40YHRgtC+0YA= 127927 +4Lih4Lix4LiB 127928 +dMSxxJ8= 127929 +2KvYp9ix 127930 +2KrYsdmG2Ko= 127931 +4LmB4LiC4LmH 127932 +4LmB4LiC4LmH4LiH 127933 +0L/QvtGH 127934 +INeR15DXldeq 127935 +66+A 127936 +652864+E 127937 +4LiK4Lix4LiU 127938 +4Liq4LiV4LmM 127939 +44OL44OD44Kv 127940 +0LjQtNC10L3Rgg== 127941 +INCz0YDRg9C/0L8= 127942 +2KrYrg== 127943 +4bqg 127944 +4Lii4Li34LiZ 127945 +4Lii4Lix4LiZ 127946 +w7NyeQ== 127947 +VMOc 127948 +44GX44KD 127949 +INC/0YDQvtCy0LXQtA== 127950 +0LvRj9C10YI= 127951 +2YXYrg== 127952 +4Lii4Lit4Lih 127953 +15vXoNeh16o= 127954 +INin2YTZhdmG2Ko= 127955 +IG9sbWFk 127956 +16jXm9eW15k= 127957 +INCy0YHRgtGA 127958 +INC40YHRgdC70LXQtA== 127959 +0YLQstC10YDQtg== 127960 +2KjYr9mI 127961 +0LXRgNGC 127962 +77u3 127963 +sYU= 127964 +4Liq4Lix4Lih4Lie4Lix4LiZ4LiY4LmM 127965 +4Li04LmI4LiZ 127966 +16bXmdeR 127967 +d2nEmXQ= 127968 +IOywuA== 127969 +IHp3acSFeg== 127970 +2LPYqNmI2Lk= 127971 +44OD44Kw 127972 +4Lib4Lil4Lit4LiU 127973 +4Lib4Lil4Lit4LiU4Lig4Lix4Lii 127974 +44KC44KK 127975 +2YLYr9iz 127976 +IHNwcno= 127977 +IHNwcnplZGE= 127978 +IGlzdGVkaQ== 127979 +IGtodQ== 127980 +INC00LXQvQ== 127981 +IGtvxYQ= 127982 +INeR15fXmQ== 127983 +4LmA4LiX4LmJ4Liy 127984 +15XXodeZ16M= 127985 +44OL44Ol44O8 127986 +INC/0YDQtdC00L7RgdGC 127987 +INC/0YDQtdC00L7RgdGC0LDQsg== 127988 +4LmC4Lif 127989 +w6l2 127990 +INin2YTYtdit 127991 +2LXYrdin2Kg= 127992 +4LmA4LiI4LmH4Lia 127993 +0LLQu9C10Lo= 127994 +4Lin4Lix4LiV 127995 +4LiW4Li4 127996 +44GT44Go44GM44Gn44GN44G+44GZ 127997 +2YLZitmC2Yo= 127998 +15XXl9eo 127999 +0YvRiA== 128000 +INC+0YLQvdC+ 128001 +INC+0YLQvdC+0Yg= 128002 +0L7QsdC40LvRjA== 128003 +2YHYrQ== 128004 +xLFudA== 128005 +xLFudMSx 128006 +INec15HXkw== 128007 +7Y6Y7J207KeA 128008 +44OK44Or 128009 +INmF2LPYp9ih 128010 +15nXmNeR 128011 +0YzQtdGA 128012 +64S3 128013 +0YvRgtCw 128014 +INC+0YfQtdGA 128015 +4LiU4Li34LmI 128016 +4LiU4Li34LmI4Lih 128017 +IE5naA== 128018 +2KrYudio 128019 +2YTYp9mC2KfYqg== 128020 +15XXnNeV15LXmdeU 128021 +IOydtOqygw== 128022 +INeU15HXqA== 128023 +7Jy1 128024 +4LmA4LiE4Lil4Li34LmI4Lit4LiZ 128025 +2YfYqQ== 128026 +4LiI4Liz4LmA4Lib4LmH4LiZ 128027 +5aSJ44GI 128028 +d2nFm2NpZQ== 128029 +Y2hvZA== 128030 +Y2hvZHrEhQ== 128031 +0LLRgNC+ 128032 +157Xl9eZ16g= 128033 +IHnEsQ== 128034 +IHnEsWxs 128035 +7KGM 128036 +4LmE4Lir4Lin 128037 +44Gq44GP44Gq 128038 +INC30LDQstC40YE= 128039 +IOyYiOyImA== 128040 +2YHYsA== 128041 +4bunbmc= 128042 +4Lie4Li44LiX4LiY 128043 +0LfQvQ== 128044 +bGF5YW4= 128045 +44Kh 128046 +4LiB4LmH4LiV4Liy4Lih 128047 +IHNhxJ9sYW0= 128048 +4Lij4LiT 128049 +INGB0LjRgg== 128050 +INGB0LjRgtGD 128051 +INin2YTYqtmG 128052 +15TXlg== 128053 +INi32YjZitmE 128054 +dGHFgg== 128055 +IGfDtnJk 128056 +5aSJ44KP 128057 +64Ol 128058 +4LiE4LmI4Lit4Lii 128059 +15DXldeY 128060 +64WQ 128061 +44Op44Oz44K5 128062 +4Lin4Lix4LiS 128063 +4Lin4Lix4LiS4LiZ 128064 +IG9sdcWf 128065 +16TXoteV15w= 128066 +IHN6Y3plZ8OzxYI= 128067 +4LiE4Liy4Liq4Li0 128068 +4LiE4Liy4Liq4Li04LmC4LiZ 128069 +cG93aWVk 128070 +INGC0LXQsQ== 128071 +4Lir4LiZ4LmI4Lin4Lii 128072 +INC80LjQuw== 128073 +2K3Zgw== 128074 +4LiX4LiU 128075 +INC80LDRgtC10YDQuNCw0Ls= 128076 +xYJvdw== 128077 +4LmA4LiB4Li14Lii 128078 +INGB0L7QstC10YA= 128079 +44Kp 128080 +4Lib4Lij4Li0 128081 +INC40Y4= 128082 +0L3QsNGH0LXQvQ== 128083 +0YDQtdC90LQ= 128084 +bXXFn3R1cg== 128085 +INC/0YDQvtC00YPQug== 128086 +0LfQtA== 128087 +0Y/RgtC4 128088 +0Y/RgtC40Y8= 128089 +4LmA4Lih4Li14Lii 128090 +2LHYp9iq2YrYrA== 128091 +IGFtYWPEsQ== 128092 +16nXldec 128093 +16nXldec15c= 128094 +4Liq4Liw4Lit4Liy 128095 +4Liq4Liw4Lit4Liy4LiU 128096 +16TXktei 128097 +2LnYqNip 128098 +ZMSxbg== 128099 +7YWU 128100 +INee16nXl9en 128101 +IGZpeWF0 128102 +INC30LDRjw== 128103 +INC30LDRj9Cy 128104 +4LmC4Lir4Lil 128105 +4LmC4Lir4Lil4LiU 128106 +4LiB4Lij4Li44LiH4LmA4LiX4Lie 128107 +16bXmdeZ158= 128108 +7Jqx 128109 +2YXYqA== 128110 +2YXYqNin2K8= 128111 +bGFuZMSxcg== 128112 +INCy0LXRgdGM 128113 +IGjDvGs= 128114 +INCS0L7Qtw== 128115 +0YfQuNGC0YvQstCw 128116 +4Lin4Lil 128117 +15XXptei 128118 +4LiC4LiT4Liw4LiX4Li14LmI 128119 +IGHFn2HEn8Sx 128120 +15zXkNeV157XmQ== 128121 +dHJ6eW0= 128122 +w6TDn2ln 128123 +b3dvxZtjaQ== 128124 +44Gd44KC 128125 +IHJvendpxIV6 128126 +IGfFgsOzd24= 128127 +0LzQvtC90YI= 128128 +157Xldee 128129 +INGB0YLQsNC9 128130 +2YTYp9mC2Kk= 128131 +cHJvd2Fk 128132 +cHJvd2Fkemk= 128133 +INGB0L7RgdGC0L7Rjw== 128134 +15nXkNeV16o= 128135 +csSx 128136 +Z8Sx 128137 +44OR44OR 128138 +INC90LDQu9C40Yc= 128139 +15TXptei 128140 +INeg15Q= 128141 +4LiE4Lix4Lia 128142 +2LnYsdin2LY= 128143 +0LjQtg== 128144 +2YfYp9im2Yo= 128145 +44KJ44GP 128146 +0L7QttC10YI= 128147 +INC+0LHQvtGA 128148 +INC+0LHQvtGA0YPQtA== 128149 +2KPYs9mE 128150 +4LmH4LiU 128151 +0YDRg9GC 128152 +2K/ZitmF2YI= 128153 +2K/ZitmF2YLYsdin 128154 +IGplc3Rl 128155 +15XXldeZ16g= 128156 +15HXk9eZ16c= 128157 +0LTQtdGA0LbQuNCy0LA= 128158 +44GK44GP 128159 +ZXduxJl0cg== 128160 +ZXduxJl0cnpu 128161 +4Lie4Lik 128162 +INeQ15XXlA== 128163 +16rXl9eV16k= 128164 +IHpvYg== 128165 +0LTRg9C8 128166 +INGB0Ys= 128167 +2YrYsdin 128168 +IHdpxJlrcw== 128169 +4LmB4LiV4LiB4LiV4LmI4Liy4LiH 128170 +bGFyYXJhcw== 128171 +bGFyYXJhc8Sx 128172 +7ZiA 128173 +64m0 128174 +15XXktec 128175 +INC+0YLQvNC10YI= 128176 +INGA0LDQvQ== 128177 +2KrZg9mE 128178 +0LjRgtC10LvRjNC9 128179 +4Lib4Lij4Liw4Lin4Lix 128180 +4Lib4Lij4Liw4Lin4Lix4LiV4Li0 128181 +7J6W 128182 +0LzQvtC20L3Qvg== 128183 +cGllY3plxYQ= 128184 +cGllY3plxYRzdA== 128185 +66q7 128186 +7Iqo 128187 +157Xodee 128188 +4bum 128189 +4Lio4Li0 128190 +4Lio4Li04Lil 128191 +4Lio4Li04Lil4Lib 128192 +IMWadw== 128193 +44OD44K344On44Oz 128194 +dW5pdMOg 128195 +IG1pZXN6a2E= 128196 +IG1pZXN6a2HFhA== 128197 +cHJ6ZWQ= 128198 +cHJ6ZWRzaQ== 128199 +cHJ6ZWRzacSZYg== 128200 +cHJ6ZWRzacSZYmlvcg== 128201 +4Lib4Lij4Liw4Liq4Li04LiX4LiY4Li0 128202 +4Lib4Lij4Liw4Liq4Li04LiX4LiY4Li04Lig4Liy4Lie 128203 +4Lii4LmI 128204 +7JWZ 128205 +4Lij4Lin4LiU 128206 +4Lij4Lin4LiU4LmA4Lij4LmH4Lin 128207 +5b2T44Gf44KK 128208 +w6RsbGU= 128209 +0YPQtdGC0YHRjw== 128210 +w6Nu 128211 +66C1 128212 +dGjDqA== 128213 +44KS5Yip55So 128214 +7LWc 128215 +7ZOo 128216 +4LiX4Lix4Lia 128217 +4Liy4LiE4Lih 128218 +44GH 128219 +64KM 128220 +4LmA4Lib4Lil4LmI4Liy 128221 +4qY= 128222 +674= 128223 +6oA= 128224 +6oc= 128225 +4qE= 128226 +8J+f 128227 +45A= 128228 +4ro= 128229 +4a0= 128230 +4Zk= 128231 +4ZM= 128232 +4bI= 128233 +8JOP 128234 +4aw= 128235 +4q8= 128236 +5Kg= 128237 +6p0= 128238 +6qs= 128239 +8JE= 128240 +8JOD 128241 +8J2F 128242 +PHVuaw== 128243 +PHVuaz4= 128244 +PHM+ 128245 +PC9z 128246 +PC9zPg== 128247 +INi52YTZiQ== 128248 +IG3hu5l0 128249 +IHbhu5tp 128250 +IG5nxrDhu51p 128251 +INil2YTZiQ== 128252 +IG5o4buvbmc= 128253 +IHRo4buD 128254 +INeQ15U= 128255 +INei150= 128256 +2KfZiw== 128257 +IOC5geC4peC4sA== 128258 +INmE2Kc= 128259 +IG5oxrA= 128260 +INin2YTYqtmK 128261 +INeU15XXkA== 128262 +IMSR4bq/bg== 128263 +INij2Yg= 128264 +IHbhu4E= 128265 +IGzDoG0= 128266 +IHPhur0= 128267 +IGPFqW5n 128268 +IOG7nw== 128269 +IMSRw7M= 128270 +IG5oaeG7gXU= 128271 +IHThuqFp 128272 +IHRyw6pu 128273 +INeS150= 128274 +IG5ow6A= 128275 +INeb15k= 128276 +IHPhu7E= 128277 +IMSR4bqndQ== 128278 +IGLhu4s= 128279 +INmH2LDYpw== 128280 +IG5o4bqldA== 128281 +IHBo4bqjaQ== 128282 +IGhp4buHbg== 128283 +IGThu6VuZw== 128284 +IMSR4buZbmc= 128285 +INin2YTZhNmH 128286 +INiM 128287 +INmD2YQ= 128288 +IHZp4buHYw== 128289 +IG7Eg20= 128290 +IHRow6w= 128291 +IGjhu41j 128292 +INmI2Ko= 128293 +dMOp 128294 +INin2YY= 128295 +IHTDtGk= 128296 +INeQ16DXmQ== 128297 +INec15k= 128298 +INee15U= 128299 +IG5nw6B5 128300 +IG7GsOG7m2M= 128301 +INeU15nXkA== 128302 +INeQ15k= 128303 +IGjGoW4= 128304 +INmH2LDZhw== 128305 +INmI2Yo= 128306 +INin2YTYsNmK 128307 +INeV154= 128308 +IGdpw6E= 128309 +IG5ow6Ju 128310 +IGNow61uaA== 128311 +IG3DrG5o 128312 +INCd0LA= 128313 +IHRo4bq/ 128314 +INeZ15XXqteo 128315 +INeQ150= 128316 +IG7Dqm4= 128317 +IGjhu6M= 128318 +IGjhu6Nw 128319 +IGPDsm4= 128320 +INmH2Yg= 128321 +IGPGoQ== 128322 +IHLhuqV0 128323 +IFZp4buHdA== 128324 +INio2LnYrw== 128325 +INep15k= 128326 +IHRo4budaQ== 128327 +IGPDoWNo 128328 +IMSR4buTbmc= 128329 +INC90L4= 128330 +IHRyxrDhu51uZw== 128331 +2J8= 128332 +IMSR4buLbmg= 128333 +IMSRaeG7gXU= 128334 +15nXmded 128335 +IHRo4buxYw== 128336 +bsSxbg== 128337 +IGjDrG5o 128338 +IG7Ds2k= 128339 +IGPDuW5n 128340 +INeU15Q= 128341 +INil2YY= 128342 +INeQ15HXnA== 128343 +IG5oxrBuZw== 128344 +IGJp4bq/dA== 128345 +INC20LU= 128346 +IGNow7puZw== 128347 +IMSRYW5n 128348 +INiw2YTZgw== 128349 +IGzDqm4= 128350 +IGtow6FjaA== 128351 +IG7DoG8= 128352 +IHPhu60= 128353 +IGtow6Fj 128354 +IOuwjw== 128355 +IGzDvQ== 128356 +15nXmQ== 128357 +IMSRw6J5 128358 +INec154= 128359 +IGPhuqdu 128360 +IHRyw6xuaA== 128361 +IHBow6F0 128362 +44Gr44KC 128363 +0L/Qvg== 128364 +IG7Eg25n 128365 +IGLhu5k= 128366 +IHbhu6U= 128367 +IMSR4buZ 128368 +0YfQtQ== 128369 +IG5o4bqtbg== 128370 +IHRyxrDhu5tj 128371 +INei15M= 128372 +IGjDoG5o 128373 +INiu2YTYp9mE 128374 +IGzGsOG7o25n 128375 +IGPhuqVw 128376 +IHThu7E= 128377 +IHbDrA== 128378 +IHTGsA== 128379 +IGNo4bqldA== 128380 +INeb157XlQ== 128381 +IGfDrA== 128382 +INep16A= 128383 +IHThur8= 128384 +16rXlQ== 128385 +IG5naGnhu4dw 128386 +IG3hurd0 128387 +INmD2YXYpw== 128388 +INeR15nXnw== 128389 +INeo16c= 128390 +IHRo4bqleQ== 128391 +IG3DoXk= 128392 +INmB2Yk= 128393 +IGTDom4= 128394 +INeQ15fXkw== 128395 +IHTDom0= 128396 +INeb15o= 128397 +INec15U= 128398 +0LLQvg== 128399 +IHTDoWM= 128400 +IHRvw6Bu 128401 +INmI2YU= 128402 +IGvhur90 128403 +IOC4q+C4o+C4t+C4rQ== 128404 +INmI2KfZhNmF 128405 +IMSRaeG7g20= 128406 +INeW15U= 128407 +INeR15U= 128408 +15vXldeq 128409 +IGjhu5lp 128410 +IGLhurFuZw== 128411 +2KrZh9in 128412 +INeb15PXmQ== 128413 +INeU150= 128414 +IHh14bqldA== 128415 +INmC2K8= 128416 +IGLhuqNv 128417 +IHThu5F0 128418 +IHTDrG5o 128419 +INmH2Yo= 128420 +IMSR4buRaQ== 128421 +IHRoaeG6v3Q= 128422 +IGhp4buHdQ== 128423 +IHRp4bq/cA== 128424 +IHThuqFv 128425 +16rXlA== 128426 +IGNo4bun 128427 +b8WbxIc= 128428 +IGdpw7o= 128429 +IGdpw7pw 128430 +IMO9 128431 +IHF14bqj 128432 +IGxv4bqhaQ== 128433 +IGPDtA== 128434 +IMO0 128435 +IMO0bmc= 128436 +INeU15U= 128437 +INin2YTZitmI2YU= 128438 +IHTDrW5o 128439 +0LPQsA== 128440 +IHBow7JuZw== 128441 +IMSDbg== 128442 +INi52KfZhQ== 128443 +IHbhu4s= 128444 +bGFyxLFuxLE= 128445 +csOtYQ== 128446 +IHThu5tp 128447 +IMSRxrDhu51uZw== 128448 +IGdp4bubaQ== 128449 +IGLhuqNu 128450 +IGPhuqd1 128451 +IG5oacOqbg== 128452 +IGLhu4duaA== 128453 +IHRoxrDhu51uZw== 128454 +INeQ15nXnw== 128455 +IMSR4buB 128456 +IGjhu4c= 128457 +INeZ16nXqNeQ15w= 128458 +IHF1w6E= 128459 +INCX0LA= 128460 +44Gu44Gn44GZ44GM 128461 +INCf0YDQuA== 128462 +IHBo4bqnbg== 128463 +INmI2YTYpw== 128464 +IGzhu5tu 128465 +IHRy4buL 128466 +IGPhuqNt 128467 +INC80L4= 128468 +IGTDuW5n 128469 +INin2YTZiQ== 128470 +INi52YTZitmH 128471 +IOyeiOyKteuLiOuLpA== 128472 +2YrZgg== 128473 +INmC2KjZhA== 128474 +IGhv4bq3Yw== 128475 +INit2YrYqw== 128476 +IOC4l+C4teC5iA== 128477 +INi62YrYsQ== 128478 +IMSR4bqhaQ== 128479 +IHPhu5FuZw== 128480 +0L3Ri9C80Lg= 128481 +IHRo4bupYw== 128482 +INek15k= 128483 +IMSRaeG7h24= 128484 +44Gq44GL44Gj44Gf 128485 +IGdp4bqjaQ== 128486 +IHbhuqtu 128487 +INC40YU= 128488 +IMO2bmNl 128489 +IHbhuq15 128490 +IG114buRbg== 128491 +IOG6o25o 128492 +4LmD4LiZ4LiB4Liy4Lij 128493 +IFF14buRYw== 128494 +IGvhur8= 128495 +16DXkA== 128496 +INeh15k= 128497 +IHnDqnU= 128498 +44Gu44GL 128499 +IMSR4bq5 128500 +IMSR4bq5cA== 128501 +IGNo4bupYw== 128502 +IHnEsWw= 128503 +IFTDvHJraXll 128504 +ZMOp 128505 +INmC2KfZhA== 128506 +IGThu4tjaA== 128507 +IG9sZHXEn3U= 128508 +IGNo4buNbg== 128509 +INiq2YU= 128510 +4Lir4LiZ4Li24LmI4LiH 128511 +44GV44KM44Gf 128512 +IHBow6Fw 128513 +7JuU 128514 +IHRp4buBbg== 128515 +44GX44G+44GX44Gf 128516 +INep15zXkA== 128517 +2YTYqQ== 128518 +INec16TXoNeZ 128519 +INeR15nXqg== 128520 +IEjDoA== 128521 +INit2Ko= 128522 +INit2KrZiQ== 128523 +INei15XXkw== 128524 +IG7Dsw== 128525 +IHRow6FuZw== 128526 +4LmA4Lil4Li34Lit4LiB 128527 +16jXlA== 128528 +IHTEg25n 128529 +IGPDoWk= 128530 +IHRyaeG7g24= 128531 +INeQ15XXqteV 128532 +7KCB7J24 128533 +IEPDtG5n 128534 +INec15TXmdeV16o= 128535 +INCz0L7QtNCw 128536 +0LjRjg== 128537 +INio2LnYtg== 128538 +IOC4geC4suC4ow== 128539 +6Imv44GE 128540 +2YjYqg== 128541 +IGxpw6pu 128542 +INCd0L4= 128543 +INCd0LU= 128544 +55qE44Gq 128545 +INmF2Ko= 128546 +INGC0LDQutC20LU= 128547 +INC60L7RgtC+0YDRi9C1 128548 +INeZ15PXmQ== 128549 +IHRy4buNbmc= 128550 +44K144Kk44OI 128551 +7KCB7Jy866Gc 128552 +IHThuq1w 128553 +INep15zXmQ== 128554 +7ZWY6rKM 128555 +IHTDoGk= 128556 +INCv 128557 +IHLhu5Np 128558 +2KfZgw== 128559 +IHRoxrDGoW5n 128560 +INeU15bXlA== 128561 +INmI2YXZhg== 128562 +4LiX4Li14LmI4Lih4Li1 128563 +IGN14buZYw== 128564 +IGLDvHnDvGs= 128565 +44Go44GL 128566 +INeR15nXldeq16g= 128567 +IGzhuqdu 128568 +IGfDtnJl 128569 +IHRy4buf 128570 +INeY15XXkQ== 128571 +0YLRjNGB0Y8= 128572 +IHRo4buRbmc= 128573 +INeb16k= 128574 +IHRpw6p1 128575 +INee15DXldeT 128576 +2Js= 128577 +a8SF 128578 +IOC5g+C4mQ== 128579 +IHbhuqVu 128580 +INep15zXlQ== 128581 +IMSR4buBdQ== 128582 +2YHYqg== 128583 +IOqyg+ydtA== 128584 +IGjDs2E= 128585 +INin2YTYudin2YU= 128586 +INmK2YjZhQ== 128587 +0LrQvtC5 128588 +IGJp4buHdA== 128589 +0YHRgtC+ 128590 +INeU15nXlQ== 128591 +4LiX4Li14LmI4LiI4Liw 128592 +INeT15k= 128593 +INeQ15o= 128594 +IMOhbg== 128595 +2LXZiNix 128596 +IHRyw60= 128597 +INCf0YDQvg== 128598 +IGzhu7Fj 128599 +44GX44Gm44GE44G+44GZ 128600 +IGLDoGk= 128601 +INeW15DXqg== 128602 +IGLDoW8= 128603 +4Lia4LiZ 128604 +IOuMgO2VnA== 128605 +IHRp4bq/ 128606 +IHRp4bq/bmc= 128607 +IGLDqm4= 128608 +44GV44KM44KL 128609 +c2nDs24= 128610 +IHTDrG0= 128611 +16LXlQ== 128612 +bcOp 128613 +0L3QuNGP 128614 +44G744Gp 128615 +IOC5gOC4nuC4o+C4suC4sA== 128616 +2KjYqQ== 128617 +IOu2hA== 128618 +INeQ15Y= 128619 +4LiX4LmI4Liy4LiZ 128620 +16rXnQ== 128621 +IHRow6pt 128622 +IGhv4bqhdA== 128623 +ecSx 128624 +15bXlQ== 128625 +IGdp4bud 128626 +IGLDoW4= 128627 +4LiC4Liy4Lii 128628 +0YfQsA== 128629 +IOC5hg== 128630 +INin2YTZhdiq 128631 +INC+0YfQtdC90Yw= 128632 +IGLhuqV0 128633 +IHRy4bq7 128634 +0YLRgA== 128635 +INij2YbZhw== 128636 +INir2YU= 128637 +INeb157XlA== 128638 +IGtow7M= 128639 +IHLhurFuZw== 128640 +INmI2YHZig== 128641 +0L3QuNC5 128642 +IGhvw6Bu 128643 +dMOz 128644 +INeQ16nXqA== 128645 +IOyDneqwgQ== 128646 +0YHQsA== 128647 +INeb15HXqA== 128648 +INGN0YLQvtC8 128649 +bGFyxLFuxLFu 128650 +IGNoxrBh 128651 +0LfQuA== 128652 +IGThuqtu 128653 +INCa0LDQug== 128654 +2KzZiA== 128655 +INCx0YvQu9C+ 128656 +INmK2Ko= 128657 +bsSx 128658 +xYJhbQ== 128659 +INmI2YfZiA== 128660 +15HXlQ== 128661 +0L/QuA== 128662 +16jXqg== 128663 +IHF14buRYw== 128664 +0LbQtA== 128665 +IMSRxqFu 128666 +2YPYqtio 128667 +IG3huq90 128668 +4Lij4Liw4Lia 128669 +4Lij4Liw4Lia4Lia 128670 +INmD2KfZhtiq 128671 +IHRow6Ju 128672 +4Liq4Li04LiZ4LiE4LmJ4Liy 128673 +15LXmQ== 128674 +IHBoxrDGoW5n 128675 +4LmE4Lih4LmI4LmE4LiU4LmJ 128676 +IOyEsQ== 128677 +IEPDoWM= 128678 +INeU157XlQ== 128679 +INGC0LXQvA== 128680 +INeT15U= 128681 +4Lit4Liw4LmE4Lij 128682 +IHbEg24= 128683 +44Gq44Gu44Gn 128684 +IE7hu5lp 128685 +INei15U= 128686 +44KJ44KM44KL 128687 +IHPDoW5n 128688 +IGfDtnN0ZXI= 128689 +44GT44Go44KS 128690 +IHRhcmFmxLFuZGFu 128691 +INC80LA= 128692 +INC/0L7RgdC70LU= 128693 +INeg15nXqg== 128694 +INeg15nXqtef 128695 +INC70LXRgg== 128696 +INec16DXlQ== 128697 +0YHRgQ== 128698 +INeZ15U= 128699 +0L/QtQ== 128700 +INmI2YTZgw== 128701 +INmI2YTZg9mG 128702 +IG5nb8OgaQ== 128703 +IMSR4buLYQ== 128704 +cnrEhWQ= 128705 +ZHppYcWC 128706 +INmF2LE= 128707 +0LjRgtGM0YHRjw== 128708 +INeQ15fXqNeZ 128709 +INec15vXnA== 128710 +4LiC4LmJ4Lit4Lih 128711 +4LiC4LmJ4Lit4Lih4Li54Lil 128712 +INCx0L7Quw== 128713 +INCx0L7Qu9C10LU= 128714 +2KzZhdi5 128715 +0LvQtdGC 128716 +IGzhu4tjaA== 128717 +INmF2KvZhA== 128718 +IOq3uOumrOqzoA== 128719 +IHRo4bup 128720 +IGRlxJ9pbA== 128721 +2YjYrQ== 128722 +INep15zXmg== 128723 +INmF2K3Zhdiv 128724 +IG7hur91 128725 +IMSR4buVaQ== 128726 +IHbhu6th 128727 +IG3hu41p 128728 +INC+0L3QuA== 128729 +IGzDumM= 128730 +INmK2YPZiNmG 128731 +7KeI 128732 +INep15zXoNeV 128733 +INCU0L4= 128734 +INep16DXmQ== 128735 +4Lil4Li0 128736 +15DXpNep16g= 128737 +IHPhu6lj 128738 +6raM 128739 +IOG7qW5n 128740 +4LmE4Lih4LmI4Lih4Li1 128741 +2LfZhNio 128742 +INGH0LXQvA== 128743 +IGNodXnDqm4= 128744 +IHRow61jaA== 128745 +INeV15k= 128746 +7ZWp 128747 +INmF2LXYsQ== 128748 +0LTQvg== 128749 +IMSR4bqldA== 128750 +IGNo4bq/ 128751 +4LiK4Li34LmI4Lit 128752 +IOyLoA== 128753 +INil2LDYpw== 128754 +INix2KbZitiz 128755 +INep15nXqQ== 128756 +IGdp4bqjbQ== 128757 +0YHQutCw 128758 +bGFyxLFuZGE= 128759 +IHPhu58= 128760 +IHTDrWNo 128761 +INmE2YPZhg== 128762 +INio2YU= 128763 +16LXldeR 128764 +16LXldeR15M= 128765 +xYLEhWN6 128766 +bGFyxLFuYQ== 128767 +INep150= 128768 +INmE2Ko= 128769 +INep15TXldeQ 128770 +dMOzdw== 128771 +IOuLpOuluA== 128772 +INij2YPYq9ix 128773 +44Gu44Gn44GZ 128774 +15vXmded 128775 +IG9sZHXEn3VudQ== 128776 +44GL44Gq 128777 +44KC44GG 128778 +2YrYrQ== 128779 +IG5ow6xu 128780 +IG5naOG7hw== 128781 +44Gr44Gq44Gj44Gm 128782 +0L/QsA== 128783 +IHF1eeG6v3Q= 128784 +2YTZgg== 128785 +dMOh 128786 +IGx1w7Ru 128787 +IMSR4bq3Yw== 128788 +INeQ16g= 128789 +IHR14buVaQ== 128790 +c8Ojbw== 128791 +7Jm4 128792 +2LHYrw== 128793 +INio2YfYpw== 128794 +INeU15nXlded 128795 +15XXldeZ 128796 +44Gn44GZ44Gt 128797 +INGC0L7Qs9C+ 128798 +IHRo4bun 128799 +44GX44Gf44GE 128800 +2LHZgg== 128801 +IGLhuq90 128802 +0LPRgw== 128803 +IHThu60= 128804 +0YjQsA== 128805 +IOC4m+C4tQ== 128806 +INeU15DXnQ== 128807 +7Y+s 128808 +xbxh 128809 +INeQ16rXlA== 128810 +IG7hu5lp 128811 +IHBow60= 128812 +IMWfZWtpbGRl 128813 +IGzhu51p 128814 +ZMSxxJ/EsQ== 128815 +INeb15DXnw== 128816 +IHTDvG0= 128817 +IG3huqFuaA== 128818 +IE3hu7k= 128819 +44Gd44KT44Gq 128820 +IG5o4buP 128821 +44Gq44GM44KJ 128822 +IGLDrG5o 128823 +xLFw 128824 +4Lie4Liy 128825 +IMSRw6FuaA== 128826 +INmI2YQ= 128827 +16jXldeq 128828 +INeQ15nXmg== 128829 +IGNodXnhu4Nu 128830 +2YPYpw== 128831 +44KM44KL 128832 +4LmB4Lih4LmI 128833 +44KI44GP 128834 +INmI2YLYrw== 128835 +7ZaI64uk 128836 +IG7GoWk= 128837 +44Gr44KI44Gj44Gm 128838 +IHZp4bq/dA== 128839 +IOC5gOC4nuC4t+C5iOC4rQ== 128840 +65CY64qU 128841 +2KfYr9mK 128842 +INmB2KXZhg== 128843 +7Kad 128844 +IMSR4bq3dA== 128845 +IGjGsOG7m25n 128846 +IHjDow== 128847 +IMO2bmVtbGk= 128848 +44Gg44Go 128849 +IG3hurk= 128850 +INeR15k= 128851 +INeT15HXqA== 128852 +IHbhuq10 128853 +IMSR4bqhbw== 128854 +IGThu7FuZw== 128855 +INGC0L7QvA== 128856 +INmB2YrZh9in 128857 +INis2YXZiti5 128858 +IHRodeG6rXQ= 128859 +c3TEmXA= 128860 +IHRp4bq/dA== 128861 +2LTZig== 128862 +INC10YnQtQ== 128863 +44GZ44KL44Go 128864 +IG3DoHU= 128865 +INGN0YLQvtCz0L4= 128866 +IHbDtA== 128867 +INCt0YLQvg== 128868 +IHRo4bqtdA== 128869 +IG7hu69h 128870 +IGJp4bq/bg== 128871 +IG7hu68= 128872 +INec15vXnQ== 128873 +15nXmdef 128874 +INiz2Ko= 128875 +INCe0YI= 128876 +IHBo4bul 128877 +6rmM7KeA 128878 +INec15o= 128879 +IGvhu7M= 128880 +4LmD4LiE4Lij 128881 +IGfDonk= 128882 +INmE2YTZhQ== 128883 +IHThu6Vj 128884 +2KrZitmG 128885 +IHRy4buj 128886 +INec16TXmQ== 128887 +IGLhu5E= 128888 +INCa0LA= 128889 +IMSRw6xuaA== 128890 +b3fEhQ== 128891 +c8SxbmRh 128892 +IGtoaeG6v24= 128893 +c8Sxeg== 128894 +INC60L7Qs9C00LA= 128895 +16HXnA== 128896 +INCx0YvQuw== 128897 +4LiZ4LmJ4Lit4Lii 128898 +0L7QsdGA0LDQtw== 128899 +IOqyg+ydtOuLpA== 128900 +65Ok7J2A 128901 +44G444Gu 128902 +IOC5gOC4oeC4t+C5iOC4rQ== 128903 +IHBo4bulYw== 128904 +INeX15zXpw== 128905 +IGjhur90 128906 +IMSRYQ== 128907 +4LmA4LiU4LmH4LiB 128908 +7ZiV 128909 +bMOt 128910 +6riJ 128911 +INi52K/Yrw== 128912 +IMSR4buT 128913 +IGfhuqdu 128914 +INeZ15XXnQ== 128915 +IHPEqQ== 128916 +0YDRj9C0 128917 +IHF1eeG7gW4= 128918 +INeQ15zXkA== 128919 +2YfZhdin 128920 +16DXmdeU 128921 +15zXldeq 128922 +INeU16jXkdeU 128923 +IHRpw6pu 128924 +IGFsxLFu 128925 +IGThu4U= 128926 +5Lq644GM 128927 +0L3QvtGB 128928 +0LvRgdGP 128929 +IMSRxrBh 128930 +4Liq4Liy4Lin 128931 +0LjRgNC+0LLQsNC9 128932 +INee16HXpNeo 128933 +15LXnw== 128934 +IGtp4bq/bg== 128935 +INCo 128936 +cMOp 128937 +0LHRgw== 128938 +0L7QstC+0Lk= 128939 +0LHQsA== 128940 +INil2YTYpw== 128941 +15DXnNeZ 128942 +IHjDonk= 128943 +IGLhu59p 128944 +INep15U= 128945 +5Lq644Gu 128946 +16fXmded 128947 +4LmA4LiU4Li34Lit4LiZ 128948 +IGtow6E= 128949 +INeV15zXlA== 128950 +15PXldeq 128951 +INei15HXldeo 128952 +INio2LTZg9mE 128953 +INmH2YbYp9mD 128954 +0YLRgNCw 128955 +IO2VmOuKlA== 128956 +4Lij4Lit4Lia 128957 +b3dhxYI= 128958 +aMOp 128959 +IGRp4buFbg== 128960 +INeU15vXnA== 128961 +INij2LM= 128962 +IGNodXnhu4du 128963 +4Lij4Liw4LiU4Lix4Lia 128964 +IE5o4buvbmc= 128965 +INeQ15fXqg== 128966 +INit2YjZhA== 128967 +0LvQvtCy 128968 +16DXqA== 128969 +INeV16A= 128970 +IGNoxqFp 128971 +IGnDp2luZGU= 128972 +0YHRgtCy0YM= 128973 +IHBo4buR 128974 +INGB0YM= 128975 +56eB44Gv 128976 +IGNo4bupbmc= 128977 +IHbhu7Fj 128978 +4LmB4Lit 128979 +IGzhuq1w 128980 +IHThu6tuZw== 128981 +5bCR44GX 128982 +IE5ndXk= 128983 +IE5ndXnhu4Vu 128984 +INmB2YrZhw== 128985 +INCx0LA= 128986 +15nXmdeq 128987 +INec16LXqdeV16o= 128988 +INee15s= 128989 +IG5naGnhu4dt 128990 +INC80L3QvtCz0L4= 128991 +INC10LU= 128992 +65CY7Ja0 128993 +IGzhu6Np 128994 +INec15zXkA== 128995 +INeb158= 128996 +IGNow60= 128997 +44Gn44Gu 128998 +15fXlQ== 128999 +16nXlded 129000 +INee16g= 129001 +INCU0LvRjw== 129002 +xYE= 129003 +INeb15DXqdeo 129004 +IE3hu5l0 129005 +INmI2KfZhNiq 129006 +IOydtOufsA== 129007 +xZ9h 129008 +IGNoaeG6v24= 129009 +IGFyYXPEsW5kYQ== 129010 +INeR15DXqteo 129011 +44GV44KM44Gm44GE44KL 129012 +2LTZg9mE 129013 +IHTGsOG7o25n 129014 +INiq2Ko= 129015 +IEPDsw== 129016 +IGLhu48= 129017 +IHThu4luaA== 129018 +IGtow60= 129019 +INC/0YDQvtGB0YI= 129020 +INC/0YDQvtGB0YLQvg== 129021 +INmI2YLYp9mE 129022 +IGdpw6Fv 129023 +IE7hur91 129024 +15DXnteo 129025 +16LXoNeZ15nXnw== 129026 +7Y64 129027 +2YfYr9mB 129028 +IELhu5k= 129029 +IGLDoG4= 129030 +IG5ndXnDqm4= 129031 +IGfDvHplbA== 129032 +4Liq4Liy4Lii 129033 +7LKc 129034 +157Xldeo 129035 +IHBow6Ju 129036 +16HXpNen 129037 +16fXkdec 129038 +INin2YTZhdiq2K0= 129039 +INin2YTZhdiq2K3Yr9ip 129040 +2KfYptiv 129041 +INeQ157XqA== 129042 +IGtpxZ9p 129043 +7KSA 129044 +IHRydXnhu4Fu 129045 +INmE2YfYpw== 129046 +INCc0LA= 129047 +4Lia4Lij4Li04Lip 129048 +4Lia4Lij4Li04Lip4Lix 129049 +4Lia4Lij4Li04Lip4Lix4LiX 129050 +INep16DXmded 129051 +INC80LXQvdGP 129052 +xZ9l 129053 +IGRp4buHbg== 129054 +INeQ16DXl9eg15U= 129055 +a8O8 129056 +IGPhu5U= 129057 +IG3hu5dp 129058 +d8Ok 129059 +2YXZig== 129060 +IGhp4buDdQ== 129061 +64us 129062 +INeU15fXnA== 129063 +IHTDqm4= 129064 +IGtp4buHbg== 129065 +2YbZgtmE 129066 +IHbhu4c= 129067 +15PXqg== 129068 +INCg0L7RgdGB0LjQuA== 129069 +0LvRgw== 129070 +INin2YTYudix2KjZitip 129071 +INi32LHZitmC 129072 +INeU15HXmdeq 129073 +0YHQtdGA 129074 +INC80L3QtQ== 129075 +w6R1 129076 +IHRyaeG7h3U= 129077 +IMSR4bun 129078 +INeo15E= 129079 +2KrZh9mF 129080 +4LiL4Li1 129081 +IOyngOq4iA== 129082 +bGnFm215 129083 +2K/YudmF 129084 +44Gg44KN44GG 129085 +0YHQutC40LU= 129086 +IGjhu49p 129087 +INen15U= 129088 +0YDRg9GB 129089 +2YbYuNix 129090 +44Gu44KC 129091 +INeU15vXmQ== 129092 +IOybkA== 129093 +2YjZhw== 129094 +INmI2Y4= 129095 +IELhuqFu 129096 +0L/Qu9Cw0YI= 129097 +INee157XqQ== 129098 +0LvRjtCx 129099 +INC90YPQttC90L4= 129100 +IHRoxrA= 129101 +44G1 129102 +44GP44KJ44GE 129103 +2LHYtA== 129104 +16jXldeX 129105 +INmK2KrZhQ== 129106 +INem16jXmdea 129107 +IHBow6E= 129108 +4Lih4Lit4LiH 129109 +INeR15DXldek158= 129110 +IGPhuqNuaA== 129111 +IO2VnOuLpA== 129112 +INeU157Xqg== 129113 +4LiV4LmI4Liy4LiH4LmG 129114 +4Lih4Li14LiB4Liy4Lij 129115 +0YHQutC40YU= 129116 +INCS0YHQtQ== 129117 +INin2Yg= 129118 +2KzZig== 129119 +44GT44Go44Gv 129120 +IGTDoGk= 129121 +IGjhu5M= 129122 +6Ieq5YiG44Gu 129123 +4LmE4Lir4LiZ 129124 +65Ok7J2E 129125 +IFbEg24= 129126 +INC00LDQtg== 129127 +INC00LDQttC1 129128 +0YvQvNC4 129129 +0LvQsNGB0Yw= 129130 +2YrZiNmG 129131 +2YbZiA== 129132 +Y8Oz 129133 +44GX44Gm44GE44Gf 129134 +44Gg44GL44KJ 129135 +2LfYp9mE2Kg= 129136 +IGPhu61h 129137 +0L/RgNC+0YE= 129138 +44Gq44Gp44Gu 129139 +4Lij4Li44LmI4LiZ 129140 +IGNoaeG6v2M= 129141 +0LvRiw== 129142 +INGP0LLQu9GP0LXRgtGB0Y8= 129143 +IG7hu5Vp 129144 +44Gu44GK 129145 +INeQ16rXnQ== 129146 +IOuVjOusuOyXkA== 129147 +4LiB4Lil4Liy4LiH 129148 +IGJhxZ9rYQ== 129149 +7ISd 129150 +INGG0LXQuw== 129151 +2YHZgg== 129152 +44Gr44KI44KL 129153 +2YLYpw== 129154 +IMOnxLFrYXI= 129155 +IGPhu6l1 129156 +2LfYpw== 129157 +INep16o= 129158 +4LmC4LiE 129159 +INee15w= 129160 +INeU16TXqA== 129161 +INCz0LTQtQ== 129162 +INiu2Lc= 129163 +5YmN44Gr 129164 +Y2rEmQ== 129165 +INeX16nXldeR 129166 +16jXktei 129167 +IGtob+G6o25n 129168 +IMSR4budaQ== 129169 +INCg0LU= 129170 +INC+0L3QsA== 129171 +INeQ16DXlQ== 129172 +44Gu44Gr 129173 +INin2YTYsNmK2YY= 129174 +0LrRg9C/ 129175 +44K144O844M= 129176 +44K144O844OT 129177 +44K144O844OT44K5 129178 +0LLQsNC7 129179 +0LPQtQ== 129180 +IGdp4buvYQ== 129181 +IEtow7RuZw== 129182 +IOKXiw== 129183 +4LiB4Lil4Li44LmI4Lih 129184 +INmF2YbYsA== 129185 +4Lit4LmI4Liy4LiZ 129186 +INGB0L/QvtGB0L7QsQ== 129187 +IMSR4buZaQ== 129188 +IGRpxJ9lcg== 129189 +IOC4luC5ieC4sg== 129190 +2YXYq9mE 129191 +INeU15DXmQ== 129192 +INiv2YjZhg== 129193 +2YrYsdin2YY= 129194 +0YnQuA== 129195 +2KjZhtin2KE= 129196 +INii2K7YsQ== 129197 +2LjZh9ix 129198 +INeR15s= 129199 +INin2YTZhdi5 129200 +44OS 129201 +IHThuqV0 129202 +IG3hu6Vj 129203 +IGRvxJ9ydQ== 129204 +44Gf44KJ 129205 +INeh15U= 129206 +IHjDoWM= 129207 +4Lij4Lit 129208 +IGPEg24= 129209 +INC+0L3Quw== 129210 +INC+0L3Qu9Cw0LnQvQ== 129211 +IGvDvQ== 129212 +IGNow6Ju 129213 +IOC5hOC4oeC5iA== 129214 +2KfYrdip 129215 +csOhbg== 129216 +16DXmdeZ150= 129217 +INeR158= 129218 +INCW 129219 +4LiV4Lij4LiH 129220 +0LTRiw== 129221 +IHPhuq9j 129222 +2YTYqg== 129223 +44Ot44O8 129224 +INmE2YY= 129225 +INeo15U= 129226 +IGTGsOG7m2k= 129227 +4LmA4LiY 129228 +4LmA4LiY4Lit 129229 +ZcSfaQ== 129230 +INeV16k= 129231 +INmE2KM= 129232 +IGfhurdw 129233 +IGPhu5E= 129234 +44Go44Gm44KC 129235 +2LHZiNiz 129236 +INec15TXmQ== 129237 +IOuzuA== 129238 +5LiK44GS 129239 +IG3hu6lj 129240 +0YXQsA== 129241 +IOyerA== 129242 +4LiJ4Lix4LiZ 129243 +0YDRg9C2 129244 +IGHDp8Sxaw== 129245 +2YjYp9mE 129246 +INeW157Xnw== 129247 +5Lq644Gv 129248 +2LnZitmG 129249 +0Y/RhQ== 129250 +INeS15PXldec 129251 +16jXldeR 129252 +Z8Oz 129253 +65286rOg 129254 +IGFya2FkYcWf 129255 +2YbYtNix 129256 +INCz0L7QtNGD 129257 +INCx0L7Qu9GM0YjQtQ== 129258 +44Gh44KH44Gj44Go 129259 +IGPDonU= 129260 +IHPDoXQ= 129261 +7ZS8 129262 +IHRp4bq/bg== 129263 +7ZW07JW8 129264 +INmI2KPZhg== 129265 +4LiZ4Liy4LiZ 129266 +INeR15DXntem16I= 129267 +INeR15DXntem16LXldeq 129268 +INec16g= 129269 +IHF14bqjbg== 129270 +INmI2KfZhNij 129271 +INeQ15XXqteU 129272 +IOyWtOuWpA== 129273 +IOqyg+ydgA== 129274 +2K3Ys9mG 129275 +IG3huqV0 129276 +4LiE4Li54LmI 129277 +44Os44O8 129278 +INCU0LA= 129279 +IG9sbWFzxLE= 129280 +IHRodeG7mWM= 129281 +16DXlw== 129282 +7Yag 129283 +IHPDtnlsZQ== 129284 +44Gd44GG44Gn44GZ 129285 +INiq2YPZiNmG 129286 +0LvRg9GH 129287 +15zXmdea 129288 +INij2K3Yrw== 129289 +0LvQuNGB0Yw= 129290 +INCy0YHQtdCz0L4= 129291 +INeU16jXkQ== 129292 +IOuquw== 129293 +b8Sf 129294 +b8SfbHU= 129295 +IOyEoA== 129296 +INC60LDRgA== 129297 +4Lig4Liy4LiE 129298 +ZcWE 129299 +IOC4geC5hw== 129300 +IGF5bsSx 129301 +IGLDoA== 129302 +44Gq44KT44Gm 129303 +IOuqqOuToA== 129304 +2YLYsdin2LE= 129305 +44GX44Gq44GE 129306 +INCS0L4= 129307 +INmI2YfZig== 129308 +0L3QuNC60Lg= 129309 +44KM44Gf 129310 +IGNodeG6qW4= 129311 +16jXog== 129312 +2YHYsdmK2YI= 129313 +44KS5Y+X44GR 129314 +IMSRw7puZw== 129315 +0LHQtQ== 129316 +15vXldeX 129317 +0L/Rgw== 129318 +INeV15LXnQ== 129319 +157XoNeZ 129320 +7Zal 129321 +16bXmded 129322 +4LiL4Li0 129323 +2YfZhg== 129324 +0L3QtdC8 129325 +INeR15HXmdeq 129326 +2LHYuQ== 129327 +IOC4qg== 129328 +IMSQw6A= 129329 +7ZWY64uk 129330 +IOG6pXk= 129331 +15fXldeT 129332 +15fXldeT16k= 129333 +INGH0LXRgNC10Lc= 129334 +0YPQuw== 129335 +IELDrG5o 129336 +IOqyg+ydhA== 129337 +INeS16g= 129338 +5LuY44GR 129339 +15fXnNen 129340 +INiq2YTZgw== 129341 +4LmD4Liq4LmI 129342 +c3rEhQ== 129343 +2YLYp9mF 129344 +2K/ZiNix 129345 +INmB2YLYtw== 129346 +IGjhu691 129347 +INC80L7Qs9GD0YI= 129348 +IGfhu41p 129349 +INen16g= 129350 +4LiI4Liw4Lih4Li1 129351 +2KrZgtiv2YU= 129352 +INi52KjYsQ== 129353 +INec15TXnQ== 129354 +INGB0LDQvNC+ 129355 +16HXk9eo 129356 +IGPDoG5n 129357 +csOt 129358 +IOyepQ== 129359 +65Ok7J2Y 129360 +INmE2YM= 129361 +0L/QvtGA0YI= 129362 +IGto4bqj 129363 +INGB0LXQsdGP 129364 +16DXnw== 129365 +INiv2YjYsQ== 129366 +IG3hu58= 129367 +IGPDonk= 129368 +IGZhcms= 129369 +IGZhcmtsxLE= 129370 +0LDRjtGC 129371 +IHRy4buxYw== 129372 +d2nEmWtzeg== 129373 +IHRodeG7kWM= 129374 +INiq2K3Yqg== 129375 +2KrZhA== 129376 +0L7QstGL0LU= 129377 +64Kg 129378 +INCy0LDQvA== 129379 +2KjZhNi6 129380 +IOqwmeydgA== 129381 +7YyQ 129382 +2YTYqA== 129383 +IG5hc8SxbA== 129384 +INC+0LTQuNC9 129385 +0LzQsNC9 129386 +INi52YTZitmH2Kc= 129387 +0LHQuA== 129388 +INek16nXldeY 129389 +15HXqNeZ 129390 +INep16DXlA== 129391 +IOuPhA== 129392 +IMSQ4bqhaQ== 129393 +INeQ15XXqted 129394 +INin2YTYrdix 129395 +INCx0L4= 129396 +4LiI4Li44LiU 129397 +IHLDtQ== 129398 +IGRlxJ9pxZ8= 129399 +IOuLqA== 129400 +INGB0LvRg9GH0LA= 129401 +INGB0LvRg9GH0LDQtQ== 129402 +INeQ16DXqdeZ150= 129403 +15PXow== 129404 +16nXkdeq 129405 +INep15zXm9ed 129406 +IGNow7o= 129407 +bmlrw7N3 129408 +IHRhbsSx 129409 +IGPDoW8= 129410 +IMSRw6E= 129411 +INeQ15PXnQ== 129412 +IOqwlQ== 129413 +IG5oaeG7h20= 129414 +INec16E= 129415 +INeb16rXkQ== 129416 +INeU16HXpNeo 129417 +IMSRxINuZw== 129418 +IOuRkA== 129419 +4Lic4Li0 129420 +4Lic4Li04Lin 129421 +2KzYpw== 129422 +IOqwkA== 129423 +2LHYow== 129424 +2LPYqtiu2K/ZhQ== 129425 +44Gr44Gq44KK44G+44GZ 129426 +IHThu7c= 129427 +15jXldeo 129428 +0LPQvtCy0L7RgA== 129429 +INCy0L7RgQ== 129430 +INmF2YbZh9in 129431 +0LjRgNC+0LLQsNGC0Yw= 129432 +IMSR4bqneQ== 129433 +16DXkg== 129434 +INmF2Yg= 129435 +INmF2YjZgti5 129436 +16jXm9eZ 129437 +2KrZjw== 129438 +66qo 129439 +INeq15U= 129440 +2YrYp9mL 129441 +4LmD4LiU 129442 +44KK44G+44GZ 129443 +4Lit4Lii4Li54LmI4LmD4LiZ 129444 +INij2YjZhA== 129445 +INij2K7YsdmJ 129446 +IGPGsA== 129447 +2LXYp9ix 129448 +157Xl9ep15E= 129449 +0LHRgNCw 129450 +xYRza2k= 129451 +0LHRgA== 129452 +INmK2Y8= 129453 +4LiB4Li04LiZ 129454 +IGNo4buRbmc= 129455 +2YXZjw== 129456 +IOC4hOC4t+C4rQ== 129457 +INiq2YY= 129458 +dMOt 129459 +ecSH 129460 +IG3huqFuZw== 129461 +2YHZiA== 129462 +IGTDvG55YQ== 129463 +16fXqNeQ 129464 +INen15w= 129465 +INit2KfZhA== 129466 +Y8OtYQ== 129467 +IOC5gOC4o+C4sg== 129468 +INeo15XXpteU 129469 +IMOhcA== 129470 +67CV 129471 +2KfZgtip 129472 +0L3QuNGO 129473 +INeQ15zXlQ== 129474 +INee16HXlQ== 129475 +44Gn44Gv44Gq44GP 129476 +IHRy4bqj 129477 +INen16nXqA== 129478 +bWnFn3Rpcg== 129479 +IGzGsHU= 129480 +IGjhu5c= 129481 +INCx0YvQu9C4 129482 +IGzhuqV5 129483 +2LnZhNmF 129484 +IMO2emVs 129485 +5rCX44GM 129486 +INeT16jXmg== 129487 +2YXYrw== 129488 +c8SxbsSx 129489 +16DXldep15A= 129490 +csOzdw== 129491 +0YfQtdGA 129492 +6rWQ7Jyh 129493 +INCc0L4= 129494 +0LvQtdCz 129495 +IFbhu5tp 129496 +4Lin4Lix4LiZ4LiZ4Li14LmJ 129497 +0Y7RidC40LU= 129498 +44GK44GZ 129499 +44GK44GZ44GZ 129500 +44GK44GZ44GZ44KB 129501 +64+F 129502 +INeZ15TXmdeU 129503 +157XmNeo 129504 +0Y/QvNC4 129505 +IGzhu7Fh 129506 +IMSR4bqldQ== 129507 +4LmA4Liq4Li14Lii4LiH 129508 +IHTGsMahbmc= 129509 +65Ox 129510 +INGB0YLQsNGA 129511 +4LmD4Lia 129512 +4Lin4Lix4LiU 129513 +IMSwc3RhbmJ1bA== 129514 +IOC4iOC4sA== 129515 +4LiV4Lil4Liy4LiU 129516 +INio2Yo= 129517 +4LmB4LiZ4Liw 129518 +4LmB4LiZ4Liw4LiZ4Liz 129519 +2LPYp9i52K8= 129520 +INio2KM= 129521 +IGtp4buDbQ== 129522 +2K3Ys9io 129523 +4LiK4Lix4LmJ4LiZ 129524 +INeV16LXldeT 129525 +0L7QstGL0YU= 129526 +0L7RgdC90L7Qsg== 129527 +IHRyxrDhu59uZw== 129528 +16bXkdei 129529 +IMOtdA== 129530 +IGvhu7k= 129531 +Y3LDqQ== 129532 +0Y/QvA== 129533 +6rWw 129534 +44GM44Gq44GE 129535 +2YrZhNip 129536 +44OV44Kj 129537 +2LHZiQ== 129538 +INmK2KzYqA== 129539 +INeQ16M= 129540 +IGPhu7Fj 129541 +44KJ44KM44Gf 129542 +IOC4nOC4ueC5iQ== 129543 +IOC4rQ== 129544 +bGFyxLFtxLF6 129545 +IGthZMSxbg== 129546 +IOq3uOuemA== 129547 +IOq3uOuemOyEnA== 129548 +IOuYkOuKlA== 129549 +IMSR4bqj 129550 +IMSR4bqjbQ== 129551 +INeQ15XXnteo 129552 +IHnhur91 129553 +Y2nEhQ== 129554 +Y2nEhWc= 129555 +IHThu5E= 129556 +INep15DXoNeZ 129557 +IGR6aWHFgmE= 129558 +0YnQsA== 129559 +IMSRw6Bu 129560 +c8SxbmE= 129561 +44GT44KM44Gv 129562 +INeR15zXmQ== 129563 +INeR15nXqdeo15DXnA== 129564 +0LvQvtGB0Yw= 129565 +IGdp4buv 129566 +6rCQ 129567 +0YDQvtC9 129568 +2KrYrNin2LE= 129569 +0LPQu9Cw0LI= 129570 +0LLQuNC9 129571 +IGjhuqFu 129572 +IHlhcMSxbGFu 129573 +2KjYsw== 129574 +IOC4nuC4o+C5ieC4reC4oQ== 129575 +6rSA66as 129576 +bcSxxZ90xLFy 129577 +YsO8 129578 +csO8Y2s= 129579 +IEJhxZ9rYW7EsQ== 129580 +INmE2YrYsw== 129581 +IHPGoQ== 129582 +4LiI4Lix4LiH4Lir4Lin 129583 +4LiI4Lix4LiH4Lir4Lin4Lix4LiU 129584 +2K/Yp9ih 129585 +INeU15s= 129586 +dsOt 129587 +16nXkNeo 129588 +IGjGsOG7n25n 129589 +IGLDs25n 129590 +IENow61uaA== 129591 +xIVj 129592 +4LmA4LiB4Li14LmI4Lii4Lin4LiB4Lix4Lia 129593 +IHThu6k= 129594 +IHThu6lj 129595 +INGG0LLQtdGC 129596 +IHThu5Fp 129597 +IG5naMSpYQ== 129598 +2YTYp9i52Kg= 129599 +2K/ZhA== 129600 +INek16LXnQ== 129601 +aMO2cg== 129602 +4LiK4Li44LiU 129603 +4Lie4Li5 129604 +4Lie4Li54LiU 129605 +0L/QsNGB 129606 +IMWfdQ== 129607 +IHTGsOG7n25n 129608 +2K7Yp9ix2Kw= 129609 +IMOibQ== 129610 +INC40L3RgtC10YDQtdGB 129611 +0LXQvdC90YvRhQ== 129612 +15DXoNeZ 129613 +2KjYr9ij 129614 +652864qU 129615 +7Lm0 129616 +5pa544GM 129617 +0LvQuNCy 129618 +IOC4hOC4mQ== 129619 +16LXqNea 129620 +4LiC4Lit4LiH4LiE4Li44LiT 129621 +0L/QsNC0 129622 +IGPhuqFuaA== 129623 +IOuCqA== 129624 +IMSRw6J1 129625 +IGJp4buDdQ== 129626 +44KC44GC44KL 129627 +15zXkg== 129628 +IOC4quC4s+C4q+C4o+C4seC4mg== 129629 +IHh14buRbmc= 129630 +16HXlQ== 129631 +INiw2KfYqg== 129632 +INCc0LU= 129633 +2LnYp9mE2YU= 129634 +15DXoQ== 129635 +2KjZitip 129636 +2LTYpw== 129637 +0LjQtdC8 129638 +IE5nxrDhu51p 129639 +7ZiR 129640 +0YHQu9C+0LI= 129641 +INC/0LA= 129642 +IG3huqt1 129643 +INC/0YDQvtGG0LXRgdGB 129644 +IE5ow6A= 129645 +0L/RgNC+0LjQtw== 129646 +0L/RgNC+0LjQt9Cy0L7QtA== 129647 +4Lig4Liy4Lii4LmD4LiZ 129648 +IOC4muC4suC4lw== 129649 +157XoNeV 129650 +INC+0YDQs9Cw0L0= 129651 +16jXpteV 129652 +15XXnteZ150= 129653 +IHlhesSx 129654 +IGTDuQ== 129655 +44Os44Oz 129656 +2YjZhNmK 129657 +4Lii4Li5 129658 +IHRyw7I= 129659 +4LmA4Lie4Lil4LiH 129660 +INee15zXkA== 129661 +4LiV4Lil 129662 +4LiV4Lil4Lit4LiU 129663 +IMSR4bqhdA== 129664 +INeX15PXqQ== 129665 +cMOzxYI= 129666 +INee15PXmQ== 129667 +dWrEhWM= 129668 +157XoNeU15w= 129669 +INep15HXlQ== 129670 +INeU157Xqdek15g= 129671 +INeQ15zXlA== 129672 +INmI2LDZhNmD 129673 +4LmA4Lie4Lij4Liy4Liw 129674 +IMSRb8Ogbg== 129675 +IO2VqOq7mA== 129676 +IGThu6Vj 129677 +2LTYqg== 129678 +IHVsYQ== 129679 +IHVsYcWf 129680 +IHF1w70= 129681 +INeU15LXk9eV15w= 129682 +4LiV4Lix4LmJ4LiH4LmB4LiV4LmI 129683 +INep16g= 129684 +2LTZh9iv 129685 +16DXqdeZ150= 129686 +4Lie4Lil 129687 +2LHZiNin 129688 +44KM44Gm 129689 +INC90LjRhQ== 129690 +INC00LXQu9Cw 129691 +44Gn44GN44Gq44GE 129692 +xYJvxbw= 129693 +15DXl9eo 129694 +7L2U 129695 +44Ki44OD44OX 129696 +2K/Zgdi5 129697 +IHRp4buHbg== 129698 +IGto4buP 129699 +IGto4buPZQ== 129700 +INin2YTYudin2YXYqQ== 129701 +44Gr44GC44KL 129702 +IMSR4buZYw== 129703 +7KGx 129704 +IGPhu6U= 129705 +0LnRgtC1 129706 +INC30LDQutC+0L0= 129707 +INC/0YDQvtC10LrRgg== 129708 +7Ja4 129709 +2YTYrQ== 129710 +IMOnYWzEscWfbWE= 129711 +44KS44GZ44KL 129712 +0YXQuA== 129713 +2LnYp9iv 129714 +INeg157XpteQ 129715 +INeo15k= 129716 +4Lit4Lit4LiB4Lih4Liy 129717 +IFTDtGk= 129718 +IHRo4bqnbg== 129719 +INmK2Kc= 129720 +4Lil4Liy4Lii 129721 +INCw0LLRgtC+ 129722 +IHPEsXJh 129723 +INmD2KvZitix 129724 +2YXZitiy 129725 +INin2YTYudmE2YU= 129726 +5pa544Gv 129727 +15XXoteT 129728 +INC+0LHQu9Cw0YHRgtC4 129729 +15nXnNeZ150= 129730 +44GM5Ye6 129731 +4LiY4Li4 129732 +4LiY4Li44Lij 129733 +4LiY4Li44Lij4LiB4Li04LiI 129734 +2YLYqtmE 129735 +16jXkNeV 129736 +IG5ndQ== 129737 +IG5ndeG7k24= 129738 +IOC4oeC4sg== 129739 +INC/0LvQsNC9 129740 +dMOzcmlv 129741 +IGN14buRaQ== 129742 +0YHQutC+0Lw= 129743 +INin2YTZhdin2LY= 129744 +INin2YTZhdin2LbZig== 129745 +INeR16LXnA== 129746 +INeo15HXmded 129747 +IGx14bqtbg== 129748 +2YPZiA== 129749 +4LiX4Lix4LmJ4LiH4Lir4Lih4LiU 129750 +0LLQsNC9 129751 +IHRob+G6oWk= 129752 +4LmE4Lit 129753 +0LHQuNGA 129754 +INin2YTYtg== 129755 +2KrYpw== 129756 +INGA0L7QtA== 129757 +IFbDoA== 129758 +157Xmdef 129759 +INCx0YvQu9Cw 129760 +0LrQsNC80Lg= 129761 +INCU0LU= 129762 +dMSxaw== 129763 +16fXqNeZ 129764 +IGXEn2l0aW0= 129765 +INmD2KjZitix 129766 +2KjZgw== 129767 +INmE2Yg= 129768 +0LLQvtC5 129769 +IOOBk+OBrg== 129770 +INGC0YDRg9C0 129771 +bXnFm2w= 129772 +IHPGsA== 129773 +4Lie4Li14LmI 129774 +IOC5geC4peC5ieC4pw== 129775 +16LXpw== 129776 +INeX15HXqNeq 129777 +4Lij4Liw4Lir4Lin 129778 +4Lij4Liw4Lir4Lin4LmI4Liy4LiH 129779 +15nXmdeU 129780 +INin2YTZhtin2LM= 129781 +w7xuw7w= 129782 +INec157XlA== 129783 +IGNoxrDGoW5n 129784 +IEjhu5M= 129785 +2KfYsdiq 129786 +44KI44GG44Gn44GZ 129787 +bMOh 129788 +16fXmdeZ150= 129789 +5pys5b2T 129790 +5pys5b2T44Gr 129791 +44GT44KT44Gq 129792 +0YHQvtCy 129793 +INeV15c= 129794 +4LmA4LiB4LmH4Lia 129795 +INC60YLQvg== 129796 +4LmC4Lij4LiE 129797 +INi02LHZg9ip 129798 +2LnYstmK 129799 +2LnYstmK2LI= 129800 +2LfZhNmC 129801 +0L/Rg9GB0YI= 129802 +2YHYqtit 129803 +656A 129804 +IGjDo3k= 129805 +2LbZhQ== 129806 +66aw 129807 +5aC05ZCI44Gv 129808 +44Kq44O8 129809 +IGjhuq9u 129810 +INeQ15HXmdeR 129811 +INep15zXlNed 129812 +INeU15nXmdeq15Q= 129813 +INin2YTYr9mI2YTYqQ== 129814 +INin2YTZiNmC 129815 +INin2YTZiNmC2Ko= 129816 +44GC44G+44KK 129817 +IHRhxZ/EsQ== 129818 +xLBO 129819 +16LXoden 129820 +44Gm44GE44Gf 129821 +IHThu5VuZw== 129822 +INin2YTYpdmG2LM= 129823 +INin2YTYpdmG2LPYp9mG 129824 +0YDQtdGI 129825 +IGfDoWk= 129826 +INGG0LXQvQ== 129827 +INmB2YLYrw== 129828 +2YXYp9iq 129829 +44GV44KT44Gu 129830 +IHBow7k= 129831 +15jXlA== 129832 +INmI2KfZhNiq2Yo= 129833 +INio2YM= 129834 +7J2064KY 129835 +0LrRgQ== 129836 +2YXZitix 129837 +IHbDuW5n 129838 +INin2YTYtNi52Kg= 129839 +IE5oxrBuZw== 129840 +44OA44O8 129841 +INeX15nXmded 129842 +INi02K7YtQ== 129843 +16fXldeT 129844 +6rKA 129845 +16LXqQ== 129846 +16LXldec150= 129847 +16bXldeo 129848 +2LnZgtiv 129849 +IGnFn2xlbQ== 129850 +INeU15HXkA== 129851 +IGTGsOG7oW5n 129852 +4Lif4Lij4Li1 129853 +IHBow61h 129854 +44Gu5Lit44Gn 129855 +INC/0Lg= 129856 +IG5nw6BuaA== 129857 +0L3QuNC80LA= 129858 +INmH2YQ= 129859 +INeV15DXqg== 129860 +IMSRw6FuZw== 129861 +w6lxdWlwZQ== 129862 +INGN0YLQvtGC 129863 +IGfDtnJldg== 129864 +66ek 129865 +IHF1w6Ju 129866 +5byV44GN 129867 +5pmC44Gr 129868 +INio2YXYpw== 129869 +157Xmdeq 129870 +IMO8bGtl 129871 +INee16fXlded 129872 +15HXnw== 129873 +5rCX5oyB44Gh 129874 +IOunjuydgA== 129875 +IHnDvGtzZWs= 129876 +0YbQtdC90YLRgA== 129877 +INmF2KzZhNiz 129878 +56eB44Gu 129879 +2YLYr9ix 129880 +IOu2gOu2hA== 129881 +IOywqA== 129882 +2K7Ysdis 129883 +44GL44Gq44KK 129884 +67O064uk 129885 +INee15nXk9ei 129886 +cGXFgm5p 129887 +IHjhu60= 129888 +7JeQ7ISc64qU 129889 +INio2KfZhNmF 129890 +INmI2YXYpw== 129891 +INGN0YLQvtC5 129892 +2KjZitmG 129893 +bsO8 129894 +2K3Ysg== 129895 +2K3Ystio 129896 +INGA0LDQsdC+0YLQsA== 129897 +IE5o4bqtdA== 129898 +2YTYp9ih 129899 +IOuTpA== 129900 +IOuTpOyWtA== 129901 +44KE44GZ44GE 129902 +15fXlten 129903 +INeU15fXkdeo15Q= 129904 +0L/QuNGC 129905 +44GL44KJ44Gu 129906 +IOunkOyUgA== 129907 +INek15U= 129908 +2YTZjg== 129909 +4LmA4LiV4LmH4Lih 129910 +INCa0L4= 129911 +IG3Ds3dp 129912 +IHTDrW4= 129913 +16jXktep 129914 +16TXqNen 129915 +IHRy4bqhbmc= 129916 +INCe0L0= 129917 +15fXldel 129918 +INi52YbYr9mF2Kc= 129919 +INio2LE= 129920 +5L2/44GE 129921 +IHLhu5luZw== 129922 +64yA66Gc 129923 +7Yis 129924 +IGt0w7NyeWNo 129925 +0LLQuNC0 129926 +4Lil4Li54LiB4LiE4LmJ4Liy 129927 +IG1vZ8SF 129928 +INep15c= 129929 +15HXl9eo 129930 +44OW44Ot44Kw 129931 +IFRow6BuaA== 129932 +INeU16jXmQ== 129933 +INGB0YLQsNGC0Yw= 129934 +IEjhu5lp 129935 +4Lia4LmJ4Liy4LiH 129936 +54m544Gr 129937 +IMSQ4bupYw== 129938 +6ICF44Gu 129939 +16LXnteV15M= 129940 +15jXqNeU 129941 +0KU= 129942 +INmF2YXYpw== 129943 +IGXFnw== 129944 +INC90LXQvtCx0YXQvtC00LjQvNC+ 129945 +0L3QuNC60L7Qsg== 129946 +IMO8emVyaW5kZQ== 129947 +YcWCYQ== 129948 +IGNo4buLdQ== 129949 +INin2YTYr9mK2YY= 129950 +2KPYrtio2KfYsQ== 129951 +IMSRYXU= 129952 +44GM5aSa44GE 129953 +asSFY3ljaA== 129954 +2K/YrtmE 129955 +bGFyxLFuZA== 129956 +bGFyxLFuZGFu 129957 +IHPhurs= 129958 +4Lie4Li04LmA4Lio 129959 +4Lie4Li04LmA4Lio4Lip 129960 +16rXnw== 129961 +dMSxxJ/EsQ== 129962 +IGx14bqtdA== 129963 +IMWeZQ== 129964 +44Kr44O8 129965 +44Gu44GC44KL 129966 +INeU15DXqteo 129967 +INin2YTYotmG 129968 +xLFsZMSx 129969 +IMOhbw== 129970 +INC90LDRh9Cw0Ls= 129971 +IHZp4buHbg== 129972 +INeR16LXldec150= 129973 +0LfQvdCw0Yc= 129974 +15nXmNeU 129975 +0LrQsNC8 129976 +INCY0Lc= 129977 +4LmA4LiC4Li14Lii4LiZ 129978 +4LiZ4LmJ4Lit4LiH 129979 +0YLRgNC+ 129980 +4LmA4Lif 129981 +INC20LjQt9C90Lg= 129982 +IOC4quC5iOC4p+C4mQ== 129983 +IHbhuq1u 129984 +IOq0gOugqA== 129985 +IGzDonU= 129986 +16HXmNeo 129987 +16fXqQ== 129988 +2LPZitix 129989 +INeQ15XXqteZ 129990 +IG3DtGk= 129991 +2KfYptio 129992 +INC+0YHRgtCw 129993 +IG3Ds24= 129994 +INeR157Xp9eV150= 129995 +INiv2KfYrtmE 129996 +INeQ15XXqA== 129997 +INCy0LDRgQ== 129998 +2YPYtNmB 129999 +7Jio 130000 +4LiW4LmI4Liy4Lii 130001 +IGt1bGxhbsSxbA== 130002 +IHTDtA== 130003 +44Gr44KI44KK 130004 +IOuYkO2VnA== 130005 +INei15HXldeT15Q= 130006 +IHJpw6o= 130007 +IHJpw6puZw== 130008 +IHlha8Sxbg== 130009 +2LLYpw== 130010 +xbs= 130011 +15DXldeb15w= 130012 +2LTYp9ix2YM= 130013 +INCx0LXRgQ== 130014 +17Q= 130015 +INin2KjZhg== 130016 +IFThu5VuZw== 130017 +2YbYuA== 130018 +xZt3aWFk 130019 +44K144O8 130020 +4Lir4Liy4Lii 130021 +IEfDvG4= 130022 +IGhha2vEsW5kYQ== 130023 +4LmA4LiC4LmJ4Liy4Lih4Liy 130024 +2LLZhg== 130025 +INCg0L4= 130026 +IGJp4buDbg== 130027 +44Gp44GT 130028 +2YHYudmE 130029 +2LLYuQ== 130030 +16TXqNeY 130031 +INeU158= 130032 +2KPZh9mE 130033 +IHRo4bqldA== 130034 +2K3ZhdmE 130035 +0YfRgw== 130036 +IOyCrOyLpA== 130037 +7LC4 130038 +IOychO2VtA== 130039 +2YjYuA== 130040 +INCf0L7QtA== 130041 +IGtob+G6o24= 130042 +0YLQtdC9 130043 +INmB2KfZhA== 130044 +0YHQsNC0 130045 +4LiZ4Lit4LiZ 130046 +INin2YTYs9i52YjYr9mK2Kk= 130047 +ItiM 130048 +INin2YTZkg== 130049 +44KJ44Ga 130050 +IHRvw6Fu 130051 +IGNo4bqvYw== 130052 +15vXmdeo 130053 +bcOpZA== 130054 +bcOpZGlh 130055 +2LLZiA== 130056 +IHlhbsSx 130057 +16TXoNeZ150= 130058 +2K3YuA== 130059 +INCx0LXRgdC/ 130060 +INCx0LXRgdC/0LvQsNGC 130061 +INCx0LXRgdC/0LvQsNGC0L3Qvg== 130062 +INij2YXYp9mF 130063 +4Lit4Liy4Lii 130064 +4Lit4Liy4Lii4Li4 130065 +16jXqdeq 130066 +IGfhu5M= 130067 +IGfhu5Nt 130068 +IHXhu5FuZw== 130069 +2LXYqA== 130070 +a8Sxcg== 130071 +44OR44O8 130072 +INec15PXoteq 130073 +INC60YPQv9C40YLRjA== 130074 +15zXldeX 130075 +2YjYtti5 130076 +2YLZitmF 130077 +4Lib4Liy 130078 +0LbQuNCy 130079 +4LiU4Li04LiZ 130080 +15DXldek 130081 +4LmA4Lil4LmH4LiB 130082 +44OD44OJ 130083 +0LjRh9C10YHQutC40YU= 130084 +IENo4bun 130085 +0LrRgNCw0YE= 130086 +2YjYtdmE 130087 +cMWCYXQ= 130088 +0LzQvtGA 130089 +INeU15DXlQ== 130090 +4Lit4Li04LiZ 130091 +IO2VnOq1rQ== 130092 +0LPRgNC1 130093 +IOygnOqztQ== 130094 +7LC9 130095 +IOqwnOyduOygleuztA== 130096 +IG5naOG7iw== 130097 +4LiL4Liy 130098 +2K3Ys9in2Kg= 130099 +IGJ5xYJh 130100 +2YXZhNmD 130101 +0LjRh9C10YHQutC40LU= 130102 +IGLDoWM= 130103 +2LbYrQ== 130104 +6ri4 130105 +16nXntei 130106 +IOyWtOuWuw== 130107 +IOyWtOuWu+qyjA== 130108 +7JuM 130109 +2KfYqtmH 130110 +4LmC4Lij4LiH4LmB 130111 +4LmC4Lij4LiH4LmB4Lij4Lih 130112 +2K7Yr9mF2Kk= 130113 +INCg0LA= 130114 +15vXldec150= 130115 +157XqdeX16c= 130116 +INmI2YPYp9mG 130117 +16HXldej 130118 +INin2YTYrdmD2YjZhdip 130119 +INeR15g= 130120 +IHRy4bqtbg== 130121 +INeU16LXldec150= 130122 +IMOtY2g= 130123 +dMSF 130124 +16nXnteV 130125 +INeU16jXkNep15XXnw== 130126 +IO2VmOqzoA== 130127 +44GV44KJ 130128 +44GV44KJ44Gr 130129 +44Gr44GX44Gm 130130 +IOC4nOC4oQ== 130131 +44Gu44KI44GG44Gq 130132 +INmI2YLYqg== 130133 +44ON44OD44OI 130134 +2YTYudio 130135 +2YjYtA== 130136 +7Jis 130137 +IOC4q+C4suC4gQ== 130138 +IG1pYcWC 130139 +4LiX4Lit4LiH 130140 +0LjRgtCw 130141 +2KfYtdix 130142 +0LjQu9GB0Y8= 130143 +0LfQtQ== 130144 +4Lib4Lij4Liw4Lih4Liy4LiT 130145 +44Gd44KM44Gv 130146 +IGLEsXI= 130147 +IGLEsXJhaw== 130148 +2LXZhtin2Lk= 130149 +0K4= 130150 +2LTYudix 130151 +INeg15LXkw== 130152 +INio2LPYqNio 130153 +44Od44Kk 130154 +44Od44Kk44Oz44OI 130155 +INin2YTYrNmI 130156 +INC90LXRgdC60L7Qu9GM0LrQvg== 130157 +IGtp4bq/bQ== 130158 +2YHZjg== 130159 +INi22K8= 130160 +15HXmdeY15XXlw== 130161 +2KrYp9io2Lk= 130162 +2YbYsg== 130163 +IELhuqNu 130164 +IGHDp8Sxa2w= 130165 +IGHDp8Sxa2xhbWE= 130166 +IOC4hOC4uOC4kw== 130167 +4LiX4Liy 130168 +xYLDs3c= 130169 +2LfYqA== 130170 +2YbYrdmG 130171 +INee16fXldeo 130172 +IMSwcw== 130173 +INC00L7QvNCw 130174 +IOC4p+C4seC4mQ== 130175 +IGTDoG5o 130176 +0Y/QvQ== 130177 +0LzQuNGA 130178 +IG3DtA== 130179 +IHbDoG5n 130180 +2LXYp9io 130181 +c8SxbsSxbg== 130182 +4LiE4Li34LiZ 130183 +2K7YqNix 130184 +15bXm9eV 130185 +INee16nXlNeV 130186 +bcO8 130187 +INC60L7QvNC/0LDQvdC40Lg= 130188 +INeU16LXmdeo 130189 +INmD2Yg= 130190 +2YLZhNio 130191 +IGzhu5tw 130192 +0LjQutC4 130193 +16DXkQ== 130194 +4LmC4LiE4Lij 130195 +4LmC4LiE4Lij4LiH 130196 +4LmC4LiE4Lij4LiH4LiB4Liy4Lij 130197 +157Xldei15M= 130198 +0Y/RgtGB0Y8= 130199 +4Lir4Lil4Lix4LiH4LiI4Liy4LiB 130200 +0LXQvdC40Y4= 130201 +INep16I= 130202 +IGLGsOG7m2M= 130203 +44Oh44O844Or 130204 +44KE44KK 130205 +INeZ15XXk9ei 130206 +IOq0gO2VnA== 130207 +INin2YTYo9mF2LE= 130208 +IGLDtmxnZQ== 130209 +INGB0LLQvtC5 130210 +2YTYsw== 130211 +INee15nXldeX15M= 130212 +IOuCtOyaqQ== 130213 +INij2KzZhA== 130214 +IMSQw7RuZw== 130215 +INee16DXqg== 130216 +IOyLnOqwhA== 130217 +2YPZjg== 130218 +44Go44GE44GG44Gu44Gv 130219 +IG5hbGXFvHk= 130220 +2KrZhti42YrZhQ== 130221 +INGB0L7Qt9C00LA= 130222 +IHBow6k= 130223 +IHBow6lw 130224 +44Gn44GN44G+44GZ 130225 +INi52YTZhQ== 130226 +5aSn44GN44Gq 130227 +44Ky44O844Og 130228 +7YWM 130229 +INeb15XXnNec 130230 +INC40L3RgtC10YDQvdC10YI= 130231 +IFThu6s= 130232 +44Go44Gq44KL 130233 +2LLYp9mE 130234 +IGt0w7NyeW0= 130235 +IG5ow6k= 130236 +7Iic 130237 +0L3QtdCy 130238 +0LTQtdGA 130239 +44Ki44OX44Oq 130240 +aeG7h3U= 130241 +15HXmdec 130242 +INiq2LM= 130243 +IMSQw6J5 130244 +INin2YTYrtin2LXYqQ== 130245 +IOC5gOC4ig== 130246 +IOC5gOC4iuC5iOC4mQ== 130247 +2LXYp9iv 130248 +IGThuqFuZw== 130249 +2LPYudix 130250 +INep15nXnteV16k= 130251 +15LXmded 130252 +44GM44GC44Gj44Gf 130253 +0L/RgNC+0LI= 130254 +0L/RgNC+0LLQvtC0 130255 +INeQ15nXoNeV 130256 +INec16jXkA== 130257 +INec16jXkNeV16o= 130258 +INij2YHYttmE 130259 +INit2YQ= 130260 +INij2KjZiA== 130261 +6rCV 130262 +IOynkQ== 130263 +44Gu44KI44GG44Gr 130264 +INek16DXmQ== 130265 +16HXmded 130266 +INmI2YfYsNin 130267 +IGthw6c= 130268 +IMOpw6lu 130269 +IOqxtA== 130270 +67CU 130271 +0YPQtw== 130272 +4LiC4Lit4LiH4LmA4Lij4Liy 130273 +acWC 130274 +INCc0Ys= 130275 +IGNo4bq/dA== 130276 +INin2YTYq9in2YbZig== 130277 +15DXpw== 130278 +INeV16LXnA== 130279 +INin2YTYt9io 130280 +15HXmNeX 130281 +INis2K/Zitiv2Kk= 130282 +INi52K/ZhQ== 130283 +2LnYsg== 130284 +4Liq4Li04LmI4LiH4LiX4Li14LmI 130285 +44GZ44KM44Gw 130286 +IMSRw7Q= 130287 +7KOg 130288 +2K/Zgg== 130289 +0L3QvtC80YM= 130290 +IGvhu4M= 130291 +44Ki44Oz 130292 +5aSa44GP44Gu 130293 +4Lib4Lij4Liw4LiB 130294 +4Lib4Lij4Liw4LiB4Lit4Lia 130295 +16TXoteZ15zXldeq 130296 +INGB0YLQvtC7 130297 +bWF5xLE= 130298 +44Gk44GE 130299 +IHnEsWzEsW5kYQ== 130300 +IOC4iOC4tuC4hw== 130301 +a2/FhGN6 130302 +IFRow7RuZw== 130303 +INCw0LrRgtC40LI= 130304 +0L3RgdGC 130305 +0L3RgdGC0YDRgw== 130306 +IMOWeg== 130307 +INeq157XmdeT 130308 +INmD2YbYqg== 130309 +0YHQuNGB0YLQtdC8 130310 +cHLDqXM= 130311 +cHLDqXNlbnQ= 130312 +IG7Dog== 130313 +IG7Dom5n 130314 +Z8WCb3M= 130315 +INmI2LLZitix 130316 +2K3YtdmE 130317 +INC40LzQtdC10YI= 130318 +2K3YsdmD2Kk= 130319 +4Lie4LmI4Lit 130320 +44KS44GK 130321 +INin2LPYqtiu2K/Yp9mF 130322 +15DXmdeo15XXog== 130323 +5LuW44Gu 130324 +INep15TXnQ== 130325 +44GX44Gf44KJ 130326 +16nXnteZ 130327 +0YHQu9Cw 130328 +bcSx 130329 +IGJhesSx 130330 +IO2VmOyngOunjA== 130331 +15PXnA== 130332 +IHlhcHTEscSfxLE= 130333 +44OK44O8 130334 +15zXmdec15Q= 130335 +44Go44GE44Gj44Gf 130336 +w6RuZGln 130337 +IMWfYQ== 130338 +INmB2YrZhdin 130339 +0LjRgtC10LvRjw== 130340 +157Xldep 130341 +4LiC4Lit4Lia 130342 +bMO8aw== 130343 +IGjhu5Np 130344 +IOuqhQ== 130345 +INin2YTZg9ir2YrYsQ== 130346 +16bXkA== 130347 +IGhhesSxcg== 130348 +2LfYsdmB 130349 +2KfZitin 130350 +IMSRw7Rp 130351 +0LXQvdC0 130352 +2YTYug== 130353 +15fXlteV16g= 130354 +INCy0YHQtdCz 130355 +INCy0YHQtdCz0LTQsA== 130356 +65CY6rOg 130357 +15PXldeT 130358 +0LDQvdCw 130359 +2K/ZiNmE2Kk= 130360 +IGhv4bqhY2g= 130361 +2LnZhNin 130362 +2LnZhNin2Kw= 130363 +INeV16LXkw== 130364 +15TXnQ== 130365 +0LrQuNC5 130366 +2YTZkA== 130367 +INei15zXmdeV 130368 +0Y7RidC40Lk= 130369 +IG5n4bun 130370 +2LXZhti5 130371 +INin2YTYudix2KfZgg== 130372 +4LiV4LmI4Lit4LmE4Lib 130373 +44Gf44GP44GV44KT 130374 +IHBo4bqhbQ== 130375 +2YTYp9mG 130376 +2KfYqtmH2Kc= 130377 +IGLDtnlsZQ== 130378 +2KrZhtmB2Yo= 130379 +2KrZhtmB2YrYsA== 130380 +INep15TXmdeQ 130381 +0YHRgw== 130382 +4Lii4Liy4Lin 130383 +INep15XXoNeZ150= 130384 +INee15XXnA== 130385 +INGB0LjQuw== 130386 +INeQ15fXqNeZ150= 130387 +IHBo4bun 130388 +2YLYt9i5 130389 +IFRo4bun 130390 +4Lib4Lij4Liw4LmA4LiX4Lio4LmE4LiX4Lii 130391 +2YbZgg== 130392 +IMSRb+G6oW4= 130393 +INio2KU= 130394 +0L/RgNC10LTQtdC7 130395 +15XXqteV 130396 +IHlhcsSx 130397 +0L/RgNC1 130398 +IGN6xJnFm2Np 130399 +2K3Zg9mF 130400 +15XXoNeZ16o= 130401 +16TXotec 130402 +44KS44GX44Gm 130403 +IGt0w7Nyenk= 130404 +15zXnQ== 130405 +IMSQaeG7gXU= 130406 +INC60L7RgtC+0YDQsNGP 130407 +IOydtOyDgQ== 130408 +44GC44Gj44Gf 130409 +INee15PXldeR16g= 130410 +16TXldei15w= 130411 +ZMSxbQ== 130412 +6YCa44KK 130413 +INCx0YPQtNGD0YI= 130414 +4LmA4Lin4LmH4Lia4LmE4LiL 130415 +4LmA4Lin4LmH4Lia4LmE4LiL4LiV4LmM 130416 +2KfYrtix 130417 +15fXmdec 130418 +INeZ15w= 130419 +INeZ15zXk9eZ150= 130420 +15fXmdek 130421 +15fXmdek15XXqQ== 130422 +IGTDsm5n 130423 +INep15bXlA== 130424 +0YzQtQ== 130425 +44GC44Go 130426 +7J6Q6rCA 130427 +15DXkw== 130428 +IMO8eg== 130429 +IMO8emVyZQ== 130430 +2LjZhA== 130431 +INeQ15XXnNeZ 130432 +INeR15nXlded 130433 +2YTYp9iq 130434 +IG3Dqg== 130435 +7Lmo 130436 +2KrYrdiv 130437 +2KrYrdiv2Ks= 130438 +INiu2KfYtdip 130439 +INio2LHZhg== 130440 +INio2LHZhtin2YXYrA== 130441 +IEjDoG4= 130442 +15fXoQ== 130443 +INmI2YTZhQ== 130444 +16LXnQ== 130445 +IG3EsQ== 130446 +4Lif4Lix4LiH 130447 +16nXoteU 130448 +2YjZgdmC 130449 +16HXkdeZ16g= 130450 +0LDQu9GM0L3Ri9C5 130451 +15fXqdeV15E= 130452 +IG7DoG5n 130453 +67O8 130454 +INC60L7RgtC+0YDRi9GF 130455 +INeX15XXpw== 130456 +dMO2cg== 130457 +INC70YPRh9GI0LU= 130458 +44OR44Oz 130459 +4Lil4LmI4Liy4Liq4Li44LiU 130460 +INis2K/Zitiv 130461 +2YrYr9ip 130462 +4LiX4Lij4LiH 130463 +44KI44KK44KC 130464 +2YTZhA== 130465 +44KC44Gj44Go 130466 +16nXmNeX 130467 +INeV15DXmQ== 130468 +IGdp4buRbmc= 130469 +2KXYttin2YE= 130470 +16fXqg== 130471 +66ed 130472 +IHpvc3RhxYI= 130473 +0YDQvtC3 130474 +15nXpNeZ150= 130475 +INeb15zXnA== 130476 +16rXldeb158= 130477 +ZMSxxJ/EsW7EsQ== 130478 +2YLYs9mF 130479 +INGB0YfQuNGC 130480 +INGB0YfQuNGC0LA= 130481 +15jXldeq 130482 +IMawdQ== 130483 +INii2YQ= 130484 +INC80L7QvA== 130485 +INC80L7QvNC10L3Rgg== 130486 +INin2YTYqti52YTZitmF 130487 +16LXnNeV16o= 130488 +IGNo4buvYQ== 130489 +IHnDtm4= 130490 +IHRyw6A= 130491 +INit2YrZhg== 130492 +4LiL4Lix 130493 +IEPDoQ== 130494 +16LXlg== 130495 +INin2YTYo9mF2YY= 130496 +Y8Ot 130497 +IHbhu5Fu 130498 +IOC4meC4suC4og== 130499 +0L7QsdGA0LA= 130500 +16fXkA== 130501 +IHRoaeG6v3U= 130502 +44Oe44O8 130503 +4Liq4Lin4LiZ 130504 +IGfhu60= 130505 +IGfhu61p 130506 +IOq5 130507 +IOq5gA== 130508 +IHRoaeG7h24= 130509 +2YLYuQ== 130510 +d8SZ 130511 +INC90LDQvA== 130512 +0YLQvtC7 130513 +IHPDom4= 130514 +16HXldeS 130515 +IGdlw6dpcg== 130516 +0YLQvtC9 130517 +0LXQstCw 130518 +INmI2LbYuQ== 130519 +INi52LTYsQ== 130520 +0YHQu9C+ 130521 +4LiI4Lix4Lia 130522 +44K344O8 130523 +44KC44GC44KK44G+44GZ 130524 +IHbhurs= 130525 +IMSQ4buD 130526 +2LHZgdi5 130527 +INin2YTYo9mI2YTZiQ== 130528 +0YLQsNGA 130529 +44Gq44GP44Gm 130530 +2YXZjg== 130531 +cXXDrQ== 130532 +16LXoNeZ15nXoA== 130533 +0LPQtdC9 130534 +IGjDtG0= 130535 +4LiI4Liy 130536 +IG5o4bub 130537 +INin2YTYudix2KjZig== 130538 +15DXnw== 130539 +IGzhu5k= 130540 +IGplxZtsaQ== 130541 +4LmA4LiX4LmI4Liy4LiZ4Lix4LmJ4LiZ 130542 +INij2YbZh9in 130543 +IHR1eQ== 130544 +IHR1eeG7h3Q= 130545 +INiq2LU= 130546 +INiq2LXZhtmK 130547 +INiq2LXZhtmK2YE= 130548 +IOq3uOufrOuCmA== 130549 +0L7RhtC10L0= 130550 +4LiB4Li04LiI4LiB4Lij4Lij4Lih 130551 +44KE44Gj44Gm 130552 +IGto4buPaQ== 130553 +IGzhu4c= 130554 +INin2YTZhdis2KrZhdi5 130555 +4Lit4Liy4LiI4LiI4Liw 130556 +4LiI4Liw4LmA4Lib4LmH4LiZ 130557 +0L7QstGL0Lk= 130558 +16jXnQ== 130559 +4Lij4LmJ4Lit4LiZ 130560 +16nXntep 130561 +5Lq644Gr 130562 +IMO8emVyaW5l 130563 +16TXqNeZ 130564 +ZHXEn3U= 130565 +0YfQuNC6 130566 +IG3DuWE= 130567 +INee16rXldea 130568 +IGPhuq1w 130569 +INiq2KfYsdmK2K4= 130570 +15HXnNeq15k= 130571 +IOyigA== 130572 +2YTYuQ== 130573 +2KjYp9mG 130574 +IGNow7p0 130575 +INeU15bXntef 130576 +bsOpZQ== 130577 +IExpw6pu 130578 +INmE2YTYow== 130579 +2K3Yr9mI2K8= 130580 +INei15vXqdeZ15U= 130581 +0LLQvtC3 130582 +IHlhcHTEsQ== 130583 +INC+0LHQvg== 130584 +4LmD4Lir4LmJ4LiB4Lix4Lia 130585 +INeR15TXnQ== 130586 +44GP44Gm 130587 +2LHYo9iz 130588 +INGB0YDQtdC00YHRgtCy 130589 +IELDoGk= 130590 +44GT44Go44Gr 130591 +IOyCrO2ajA== 130592 +IOuqqOuRkA== 130593 +15HXkA== 130594 +IHRy4bqvbmc= 130595 +INin2YTYqNmE2K8= 130596 +IEhvw6BuZw== 130597 +0LvQuNCx0L4= 130598 +INC00YDRg9Cz0LjRhQ== 130599 +xLBS 130600 +0YPQvNCw 130601 +IEplxZtsaQ== 130602 +44KC44GX 130603 +IHbDsm5n 130604 +INeQ16rXqNeZ150= 130605 +IMSR4buNYw== 130606 +INCy0L7Rgg== 130607 +44Gg44GM 130608 +67Cw 130609 +4LiU4Li54LmB4Lil 130610 +INee15vXnA== 130611 +7JeQ64+E 130612 +0LPQsNC3 130613 +INeg15XXodek15nXnQ== 130614 +44GT44Go44Gn 130615 +INiq2Yg= 130616 +44Gn44GC44KK 130617 +4LiZ4Lix4LmI4LiH 130618 +INC80L7QttC10YLQtQ== 130619 +c3rEmQ== 130620 +44Gu44Gg 130621 +INmF2YbZhw== 130622 +IGLhu5U= 130623 +IGLDvHQ= 130624 +IGLDvHTDvG4= 130625 +67O06rOg 130626 +IGNo4buTbmc= 130627 +4LmB4LiI4LmJ4LiH 130628 +IFbDrA== 130629 +INit2LE= 130630 +IGdp4bqjbg== 130631 +INmF2K/ZitmG2Kk= 130632 +2KrYt9io2YrZgg== 130633 +4LiI4Li0 130634 +5pel44Gu 130635 +0LHQuNC7 130636 +4LiB4Lit4LiH 130637 +6rOz 130638 +INij2YXYpw== 130639 +7IaQ 130640 +IHRyw6Fp 130641 +INCy0YHQtdC8 130642 +INiz2YbYqQ== 130643 +INGB0LDQudGC 130644 +INCz0L7RgtC+0LI= 130645 +0L/Riw== 130646 +IOuQoA== 130647 +INin2YTYrti3 130648 +INin2YTYsdim2YrYs9mK2Kk= 130649 +IO2VqeuLiOuLpA== 130650 +IOyVhOuLiOudvA== 130651 +IOydtOughw== 130652 +IOydtOugh+qyjA== 130653 +KdiM 130654 +aMOkbHQ= 130655 +INij2YXYsQ== 130656 +INi52YXYsQ== 130657 +4LiB4LmH4LiI4Liw 130658 +IOC4l+C4s+C5g+C4q+C5iQ== 130659 +IGPDom4= 130660 +INeR15w= 130661 +INeR15zXkdeT 130662 +16TXoden 130663 +INmK2YLZiNmE 130664 +0L3Rg9GC0Yw= 130665 +4LmB4LiE 130666 +INen16bXqg== 130667 +IG7hurFt 130668 +IGjDsmE= 130669 +YmlsaXTDoA== 130670 +IOyXhuuLpA== 130671 +INeb16TXmQ== 130672 +0YDQvtC2 130673 +0LvQsNCz0LA= 130674 +INeU16nXmQ== 130675 +IE5nb8OgaQ== 130676 +INmI2Kw= 130677 +INmI2KzZiNiv 130678 +IOychO2VnA== 130679 +IHVzxYJ1Zw== 130680 +IHR14bqnbg== 130681 +ZMW6 130682 +157Xldef 130683 +INin2YTYudiv2YrYrw== 130684 +IGNo4bqzbmc= 130685 +4Liq4Li44LiC4Lig4Liy4Lie 130686 +INeR15PXqNea 130687 +INGB0LXQsdC1 130688 +IOyeiOydhA== 130689 +INin2YTYrdin2YQ= 130690 +IGTDoQ== 130691 +IGPGsOG7nWk= 130692 +IG5naGnDqm4= 130693 +aWXFhA== 130694 +IETGsMahbmc= 130695 +77yF 130696 +2LTYrw== 130697 +44GE44Gk44KC 130698 +INCy0YvQsdC+0YA= 130699 +IGPhu5luZw== 130700 +16nXmdeg15XXmQ== 130701 +IGNo4bqheQ== 130702 +INeR16LXnNeZ 130703 +2KfYrtio2KfYsQ== 130704 +7ZWY66mw 130705 +xbzEhQ== 130706 +2KzYp9iy 130707 +INeg16jXkNeU 130708 +4Lio4Li5 130709 +4Lio4Li54LiZ 130710 +4Lio4Li54LiZ4Lii4LmM 130711 +15LXog== 130712 +INei15PXmQ== 130713 +INei15PXmdeZ158= 130714 +2KjYsdin 130715 +0YbQuNC5 130716 +IMSQ4buTbmc= 130717 +2YLYp9mG2YjZhg== 130718 +IMSR4bupbmc= 130719 +44GX44Gf44KK 130720 +INeX15nXmQ== 130721 +IOuQnA== 130722 +IOuQnOuLpA== 130723 +INC80LXQttC00YM= 130724 +4Lie4Lin4LiB4LmA4LiC4Liy 130725 +IELhuq9j 130726 +4Lil4Liz 130727 +67Cx 130728 +IO2ZlQ== 130729 +4Lih4Liy4LiB4Lih 130730 +4Lih4Liy4LiB4Lih4Liy4Lii 130731 +0LHQsNC90Lo= 130732 +4Lit4Liy4LiB4Liy4Lij 130733 +IGjDoA== 130734 +INec16A= 130735 +4Lit4Lit 130736 +IOuwlOuhnA== 130737 +0LvQvtC8 130738 +bcOhdGljYQ== 130739 +INit2K8= 130740 +2KfYqNiq 130741 +4LiX4Li14LmI4LiZ4Li14LmI 130742 +IGNvxZs= 130743 +2YHZitiv2Yo= 130744 +2YHZitiv2YrZiA== 130745 +INC80LXRgdGC0L4= 130746 +IHBow7p0 130747 +4Lih4Liy4LiB4LiB4Lin4LmI4Liy 130748 +15DXpA== 130749 +2KjZkA== 130750 +IFBow7o= 130751 +7LGE 130752 +INmI2LPZhNmF 130753 +4LiI4Li14LiZ 130754 +0L/QvtGC0YDQtdCx 130755 +INeX15PXqdeV16o= 130756 +2LTZiA== 130757 +INei16bXnteV 130758 +INi52YXZhNmK2Kk= 130759 +4LiE4Li44LiT4Lig4Liy4Lie 130760 +44G+44GZ44GM 130761 +2K/YudmI 130762 +2LfYsdmC 130763 +4LmE4Lih4LmI4LiV4LmJ4Lit4LiH 130764 +67KU 130765 +7Iq5 130766 +IGvDrWNo 130767 +IOyXhuuKlA== 130768 +INGC0LDQvA== 130769 +INmG2K3ZiA== 130770 +INin2YTZgtin2YbZiNmG 130771 +15fXlded 130772 +IGvEsXo= 130773 +INeT15nXnw== 130774 +INCy0YDQtdC80LXQvdC4 130775 +44Gj44Gf44KK 130776 +INi02YfYsQ== 130777 +IOyEnOu5hOyKpA== 130778 +16LXqdeU 130779 +IGdpw6Fj 130780 +INin2YTYs9mE2KfZhQ== 130781 +INeQ16k= 130782 +INC/0L7Qu9GD0YfQsA== 130783 +4LiI4Lix4LiU4LiB4Liy4Lij 130784 +0LrQvtGA 130785 +INeU15jXldeR 130786 +4Lij4Liy4Lii4LiB4Liy4Lij 130787 +7KO87J2Y 130788 +4LmB4LiV4LmI4Lil4Liw 130789 +IOq3uOufsOuNsA== 130790 +4LiX4Li14LmI4LmA4Lib4LmH4LiZ 130791 +INeq15XXmg== 130792 +2KjZitin2YY= 130793 +0Jk= 130794 +b8WbY2nEhQ== 130795 +0YLQvtC6 130796 +IMOU 130797 +IMOUbmc= 130798 +4LmE4Lih4LmI4LmD4LiK4LmI 130799 +44G/44Gm 130800 +0J/Qvg== 130801 +INCn0YLQvg== 130802 +7Zmp 130803 +15jXkdei 130804 +0LzQtdGC0YA= 130805 +INeR157XlA== 130806 +INeR157XlNec 130807 +INeR157XlNec15o= 130808 +0YfRjA== 130809 +16fXqdeU 130810 +0LfQvdCw0Lo= 130811 +0LfQvdCw0LrQvtC8 130812 +dWrEmQ== 130813 +15nXpteo 130814 +INin2YTZhdmE2YM= 130815 +xLF5bGE= 130816 +15DXnteq 130817 +4Lib4Li04LiU 130818 +15DXl9eT 130819 +2LHYp9iv 130820 +IG3huq10 130821 +64uk64qU 130822 +IGzhuqFuaA== 130823 +16nXnNeV16k= 130824 +2K3Yr9mK2Ks= 130825 +2KrYsg== 130826 +5bm044Gu 130827 +INC60LLQsNGA 130828 +INC60LLQsNGA0YLQuNGA 130829 +5L2c44KK 130830 +2LHZiNio 130831 +0L7QstCw0L0= 130832 +INCi0LU= 130833 +4LiI4Liz4LiB 130834 +4LiI4Liz4LiB4Lix4LiU 130835 +2KjYp9i3 130836 +15LXqg== 130837 +INC80LDRiA== 130838 +INC80LDRiNC40L0= 130839 +15nXpteU 130840 +44G744Go 130841 +44G744Go44KT44Gp 130842 +w61kbw== 130843 +INGP0LfRi9C6 130844 +4Lia4Li04LiZ 130845 +4Liq4LiW4Liy4LiZ4LiX4Li14LmI 130846 +IOyXtA== 130847 +44Km44Kn 130848 +IGPDoA== 130849 +0L/QsNC9 130850 +5Y+j44Kz44Of 130851 +INix2K8= 130852 +2KfZgtiq 130853 +INmD2Kg= 130854 +INmD2KjZitix2Kk= 130855 +0YHRgtCw0Ls= 130856 +16nXnteX 130857 +cG9zaWNpw7Nu 130858 +INmF2YTZitmI2YY= 130859 +IOydtOyVvA== 130860 +IOydtOyVvOq4sA== 130861 +IGjDunQ= 130862 +IMWbd2lhdA== 130863 +IOuwqeuylQ== 130864 +INGB0LLQtdGC 130865 +INCy0LjQtNC10L4= 130866 +INin2YTZhti42KfZhQ== 130867 +IHRy4budaQ== 130868 +IOuMgO2VtOyEnA== 130869 +16jXnteq 130870 +2KrYr9in2YjZhA== 130871 +15XXqNeT 130872 +16rXng== 130873 +16rXnteV16DXldeq 130874 +INee158= 130875 +INC00LLQsA== 130876 +INeU16fXlQ== 130877 +5pel44Gr 130878 +INeU15LXmdei 130879 +4LmA4Lie4Li04LmI4Lih4LmA4LiV4Li04Lih 130880 +2YXYp9ix2LM= 130881 +IOqyg+yeheuLiOuLpA== 130882 +44Gq44GE44Go 130883 +IG5oaeG7h3Q= 130884 +65Cp64uI64uk 130885 +INeR16DXldep15A= 130886 +IOqwgOyepQ== 130887 +IHbhu6M= 130888 +IMSRw7NuZw== 130889 +16bXmdec15XXnQ== 130890 +6rSA6rOE 130891 +0LLQsNGP 130892 +15DXmdeW 130893 +15DXmdeW15Q= 130894 +INmG2LjYp9mF 130895 +2YXYrdin2YHYuA== 130896 +IHThuqNp 130897 +6riw64+E 130898 +4Lib4Lix4LiI4LiI4Li4 130899 +4Lib4Lix4LiI4LiI4Li44Lia4Lix4LiZ 130900 +15vXk9eV16g= 130901 +IOyVhOydtA== 130902 +15vXoNeZ16E= 130903 +4LmA4LiV4Lij 130904 +4LmA4LiV4Lij4Li14Lii4Lih 130905 +IG5nb+G6oWk= 130906 +INiv2YjZhNin2LE= 130907 +IHLhurs= 130908 +IGtoxINu 130909 +2LnYr9iv 130910 +2LTYudio 130911 +Y3p5xIc= 130912 +INin2YTZg9ix 130913 +INGH0LXQu9C+0LLQtdC60LA= 130914 +INmI2KXZhg== 130915 +15DXmA== 130916 +IHRoxqE= 130917 +INin2YTYsdmK2KfYtg== 130918 +0L7Qv9GA0LXQtNC10Ls= 130919 +0L7Qv9GA0LXQtNC10LvQtdC9 130920 +15TXntep15o= 130921 +INCd0L7QstC+ 130922 +0LfRi9Cy0LA= 130923 +INin2YTYr9mI2YTZig== 130924 +IMSRw6Fw 130925 +INC60YDQtdC0 130926 +INC60YDQtdC00LjRgg== 130927 +0L7QstC+0LPQvg== 130928 +IG3DtG4= 130929 +4Lib4Lij4Liw4LmC4Lii 130930 +4Lib4Lij4Liw4LmC4Lii4LiK4LiZ 130931 +4Lib4Lij4Liw4LmC4Lii4LiK4LiZ4LmM 130932 +0YHRgtC1 130933 +IFRo4buL 130934 +2K/Zitip 130935 +157XpteV 130936 +2YHYp9iq 130937 +16fXk9ed 130938 +7J2065286rOg 130939 +2YjYrg== 130940 +INeX15Y= 130941 +INGE0L7RgtC+ 130942 +15zXmdeq 130943 +2KrZjg== 130944 +2YjYqNix 130945 +0LnRgtC4 130946 +IMO2xJ9yZW4= 130947 +INeU15bXlQ== 130948 +IHbhu41uZw== 130949 +2YLZiNip 130950 +IFTDonk= 130951 +INCd0Lg= 130952 +INep15XXkQ== 130953 +44Go6KiA44KP44KM 130954 +44Gp44KT44Gq 130955 +15fXpteZ 130956 +772c 130957 +INeV15TXldeQ 130958 +5LiA44Gk 130959 +INGB0YLQvtC40YI= 130960 +bmnEhQ== 130961 +15jXqNeZ 130962 +INC00LXRgtC10Lk= 130963 +0L3Rj9GC0Yw= 130964 +INGB0LTQtdC70LDRgtGM 130965 +IOunjuydtA== 130966 +5L2V44GL 130967 +44Gb44KL 130968 +4LmE4Lir4Lih 130969 +4LiV4Li04LiU4LiV4LmI4Lit 130970 +INeR16rXlw== 130971 +INeR16rXl9eV150= 130972 +7JmE 130973 +7KeA64qU 130974 +0YHRgtCw0YI= 130975 +0Y/RgdC9 130976 +w7xi 130977 +IHRo4bqj 130978 +INeR15DXnteq 130979 +IHR1eeG6v24= 130980 +15PXmdeo15Q= 130981 +INeQ15nXqdeZ 130982 +15bXm9eo 130983 +44Gw44GL44KK 130984 +IHjDqXQ= 130985 +15vXmdeV 130986 +15vXmdeV15XXnw== 130987 +ZGnEn2luaQ== 130988 +INin2YTZhdmI2LbZiNi5 130989 +IGjhuq11 130990 +4LiI4Liy4LiB4LiB4Liy4Lij 130991 +15HXodeZ16E= 130992 +INee15LXmdei 130993 +15HXmdei 130994 +INmI2KzZhw== 130995 +4LmB4LiU4LiH 130996 +4LiZ4Liy4LiH 130997 +IMWeYQ== 130998 +7KG0 130999 +66GA 131000 +4LiV4Liw 131001 +INeU15fXmdeZ150= 131002 +2YHZitiv 131003 +44Gn44GZ44GL44KJ 131004 +6rec 131005 +xbpuaQ== 131006 +INC70Y7QtNC10Lk= 131007 +IHnDvHpkZQ== 131008 +xLF5b3J1bQ== 131009 +INin2YTYqNit2LE= 131010 +ZcOxbw== 131011 +0L/QsNGA 131012 +2YrZgtip 131013 +0L7QsdGA 131014 +16jXldea 131015 +2KrZiNmC2Lk= 131016 +INin2YTYtNmK2K4= 131017 +5Yid44KB44Gm 131018 +INGC0LXQu9C10YQ= 131019 +INGC0LXQu9C10YTQvtC9 131020 +IHRow7Rp 131021 +INeZ15vXldec15nXnQ== 131022 +IMWfaXJr 131023 +IMWfaXJrZXQ= 131024 +IOyasOumrOqwgA== 131025 +IMSRw7RuZw== 131026 +INeq15XXk9eU 131027 +0YHQvNC+0YLRgNC10YLRjA== 131028 +INmE2YfZhQ== 131029 +INec15s= 131030 +IE7Dsw== 131031 +INit2KfZhNip 131032 +44GE44GR 131033 +16fXqNeV 131034 +YXrEsQ== 131035 +44Kz44O8 131036 +INmE2YTYqg== 131037 +c8SxbsSxeg== 131038 +IEjhuqNp 131039 +6riw7Iig 131040 +4Lii4Lix4LiH4LmE4Lih4LmI 131041 +64uk6rOg 131042 +16TXlw== 131043 +INec15LXkdeZ 131044 +INi52YbZhw== 131045 +INC60LDQtw== 131046 +INC60LDQt9C40L3Qvg== 131047 +2KjZiNix 131048 +0YTQtdGA 131049 +IOqwmeydtA== 131050 +2KrYs9is2YrZhA== 131051 +INin2YTZhdix2YPYsg== 131052 +IFRow6Fp 131053 +0LTQsNGC0Yw= 131054 +157XmdeZ15w= 131055 +IHBheWxhxZ8= 131056 +44Gk44Gu 131057 +4LmA4Lij4Li34Lit 131058 +bsOnYQ== 131059 +16DXldeX 131060 +INeQ16TXmdec15U= 131061 +44Go6ICD44GI 131062 +44Go44GX44Gm44Gv 131063 +4LmA4LiI4Lit 131064 +157XpA== 131065 +IGdpcmnFnw== 131066 +0LvQuNGC 131067 +0YLQtdC70Y8= 131068 +0ZHQvQ== 131069 +5rCX44Gr 131070 +IGfDsw== 131071 +IGfDs3A= 131072 +5YiH44KK 131073 +INeU15fXk9ep 131074 +0LbQsNC7 131075 +INeT16LXqg== 131076 +6YGV44GG 131077 +4LmA4LiC4LmJ4Liy4LmE4Lib 131078 +INeh16jXmA== 131079 +ZcOxYQ== 131080 +5paw44GX44GE 131081 +2LHZjg== 131082 +INCQ0YA= 131083 +IHBo4bqjbg== 131084 +4LiI4Liw4LmE4LiU4LmJ 131085 +INeR16bXldeo15Q= 131086 +2LTYp9mH 131087 +2LTYp9mH2K8= 131088 +2YjYsdiv 131089 +4LmA4LiZ4Li34LmI4Lit4LiH4LiI4Liy4LiB 131090 +0LjQu9C40YHRjA== 131091 +4LmB4Lil4Liw4LiB4Liy4Lij 131092 +INeU15bXmw== 131093 +INeU15bXm9eV15nXldeq 131094 +ZWnDnw== 131095 +44Oo 131096 +7IOI 131097 +IMOHYQ== 131098 +xq8= 131099 +16nXkg== 131100 +2YrZhtip 131101 +4Lij4LmJ4Lit4LiH 131102 +44K144Oz 131103 +0YDQvtGB0YHQuNC5 131104 +0YDQvtGB0YHQuNC50YHQug== 131105 +YcSfYQ== 131106 +INC90LDRh9C40L3QsA== 131107 +INi12YTZiQ== 131108 +4LiX4Li44LiB4LiE4LiZ 131109 +7ZqM7IKs 131110 +INC70LjRhg== 131111 +2LTZitix 131112 +INi02YrYoQ== 131113 +2YrZhtin 131114 +INek15fXldeq 131115 +IGnDp2VyaXM= 131116 +IGnDp2VyaXNpbmRl 131117 +INij2K3Zhdiv 131118 +IMW8ZWJ5 131119 +7LSd 131120 +INC/0L7QutCw0Lc= 131121 +INC40LzQtdC90L3Qvg== 131122 +4Lir4LiZ4Lix4LiH4Liq 131123 +4Lir4LiZ4Lix4LiH4Liq4Li34Lit 131124 +INGC0YDQtQ== 131125 +4Liq4Lix4LiH4LiE4Lih 131126 +2KXZkA== 131127 +44GM5b+F6KaB 131128 +2YrZkdip 131129 +16TXpg== 131130 +7Yuw 131131 +INmF2KzYp9mE 131132 +16DXpNep 131133 +0LrQsNC9 131134 +15fXldek 131135 +15fXldek16k= 131136 +7LKY65+8 131137 +0L7QstCw0Y8= 131138 +0LfQvtCy 131139 +IGjhuqE= 131140 +IGR6acSZa2k= 131141 +15nXqNeV 131142 +INec157Xpg== 131143 +INec157XpteV15A= 131144 +15nXk9eV 131145 +IHPhu6M= 131146 +INec15TXkteZ16I= 131147 +16fXkdei 131148 +IGNoaeG7gXU= 131149 +44Oe44Kk 131150 +IGTDoG5n 131151 +4LmB4Lif4LiZ 131152 +IMO8eWU= 131153 +15nXoNeS 131154 +4LmA4Lij4Li14Lii4LiB 131155 +56eB44GM 131156 +dGjDqQ== 131157 +INGE0LjQu9GM 131158 +INGE0LjQu9GM0Lw= 131159 +IE5nw6B5 131160 +INC20LXQvQ== 131161 +INC20LXQvdGJ0LjQvQ== 131162 +2KzZitiv 131163 +bsOn 131164 +4Lib4Lij4Liy 131165 +15nXnteV 131166 +IG7hu4Fu 131167 +15DXldec150= 131168 +INCy0L7Qt9C80L7QttC90L7RgdGC0Yw= 131169 +IOuLpOyLnA== 131170 +6KaL44Gf 131171 +4LiW4LiZ 131172 +4LiW4LiZ4LiZ 131173 +bcSxesSx 131174 +INmF2KzZhdmI2LnYqQ== 131175 +Y2rEhQ== 131176 +INCg0KQ= 131177 +4LiB4Liz4Lir4LiZ 131178 +4LiB4Liz4Lir4LiZ4LiU 131179 +IOyXrOq4sA== 131180 +bGFuZMSx 131181 +0L3QuNGG 131182 +0YHRgtCy0LU= 131183 +INeT15HXqNeZ150= 131184 +IHNrxYJhZA== 131185 +44KK44G+44GX44Gf 131186 +INC+0YLQutGA0YvRgg== 131187 +0L3Rj9GC 131188 +INGB0LLQvtC10Lk= 131189 +4LiI4Li04LiV 131190 +INC60LDRh9C10YHRgtCy0LU= 131191 +IGV0dGnEn2k= 131192 +7IKs7ZWt 131193 +INin2YTZitmF2YY= 131194 +0LjRh9C10YHQutC40Lk= 131195 +67iM 131196 +INeR15DXqNel 131197 +INin2LPZhQ== 131198 +INC40LfQstC10YHRgg== 131199 +csOjbw== 131200 +IGF0dGl2aXTDoA== 131201 +4LmA4Lib4LmH4LiZ4LiB4Liy4Lij 131202 +INin2YTYr9mD2Ko= 131203 +INin2YTYr9mD2KrZiNix 131204 +INmI2KfYrdiv2Kk= 131205 +INGB0YfQtdGC 131206 +INC/0YDQuNGH 131207 +INC/0YDQuNGH0LjQvQ== 131208 +INmI2LLYp9ix2Kk= 131209 +IGh1eeG7h24= 131210 +INmD2KrYp9io 131211 +4LmB4LiZ4LmI4LiZ 131212 +4LmB4LiZ4LmI4LiZ4Lit4LiZ 131213 +IGfDvG7DvA== 131214 +0LPRgNGD0Lc= 131215 +INin2YTYrtin2LU= 131216 +IGfDtnLDvGw= 131217 +15zXnteT 131218 +IOygleuPhA== 131219 +15XXkdeZ15w= 131220 +INee16fXpteV16LXmQ== 131221 +INC+0YHQvtCx0LXQvdC90L4= 131222 +4Lib4Lij4Liw4LiB4Liy 131223 +4Lib4Lij4Liw4LiB4Liy4Lio 131224 +YWNhxJ/EsW7EsQ== 131225 +67aB 131226 +4Lig4Li54Lih4Li0 131227 +INGN0LvQtdC60YI= 131228 +INGN0LvQtdC60YLRgNC+ 131229 +INen16nXlA== 131230 +2LPZhNi3 131231 +4LiK4LiZ4Liw 131232 +16LXmdec 131233 +INCn0LU= 131234 +4LmB4LiZ4LmI 131235 +bMSxxJ8= 131236 +bMSxxJ/EsW4= 131237 +INee16LXqNeb16o= 131238 +5aW944GN44Gq 131239 +4Lih4Liy4LiB4LiC4Li24LmJ4LiZ 131240 +157XoteR16g= 131241 +INin2YTZhdi62LHYqA== 131242 +INC/0LXRgNC4 131243 +INC/0LXRgNC40L7QtA== 131244 +IG5o4bqhYw== 131245 +2KfZiNmK 131246 +INmI2LnZhNmJ 131247 +2KPYrtiw 131248 +IEPDtA== 131249 +16rXqNeR15XXqg== 131250 +15LXlA== 131251 +IGt0w7NyZWo= 131252 +15DXmdeq 131253 +15HXldeQ 131254 +0LTQtdC70Yw= 131255 +4Lij4Li14Lin4Li0 131256 +4Lij4Li14Lin4Li04Lin 131257 +0LbRgw== 131258 +INeR15fXlQ== 131259 +0LXRiNGM 131260 +INij2YTZgQ== 131261 +INin2YTZiNi32YbZig== 131262 +INin2YTZhdmG2LfZgtip 131263 +bsSFxIc= 131264 +IHRoacOqbg== 131265 +0LjRh9C10YHQutC+0Lk= 131266 +INin2YTZhdmE 131267 +INi52YU= 131268 +16HXpNeo 131269 +IG5ow7Nt 131270 +2YjYtdmB 131271 +IENow7puZw== 131272 +INix2YLZhQ== 131273 +44G+44GX44Gf44GM 131274 +YWxpdMOp 131275 +4Lil4Lih 131276 +IOuCtOqwgA== 131277 +15zXp9eV15c= 131278 +IFPGoW4= 131279 +cG9zacOnw6Nv 131280 +bWnEmQ== 131281 +IHRyw6FuaA== 131282 +IMSQ4buZ 131283 +15vXlw== 131284 +44GC44Gj44Gm 131285 +4Lit4Lii4LmI4Liy 131286 +INee15fXmdeo 131287 +INeU15nXqteU 131288 +4Lib4LmI4Liy 131289 +4Lit4Li34LmI4LiZ4LmG 131290 +2LTZgg== 131291 +16DXodeZ 131292 +66a8 131293 +44Gm44GX44G+44GG 131294 +INee16bXkQ== 131295 +44Gr5Ye6 131296 +2YXZiNin2LfZhg== 131297 +4Lii4Lix4LiH4Lih4Li1 131298 +0LDQu9GM0L3Ri9C1 131299 +c2FuxLF6 131300 +2KXYs9ix2KfYptmK2YQ= 131301 +IHbDoGk= 131302 +7KSE 131303 +44Go5oCd44Gj44Gm 131304 +15nXldeg15k= 131305 +55Sf44GN 131306 +IHPDonU= 131307 +0YfQuNGB0YI= 131308 +IGzhu4U= 131309 +IEdpw6E= 131310 +4Lit4Li44Lib 131311 +4Lit4Li44Lib4LiB4Lij 131312 +4Lit4Li44Lib4LiB4Lij4LiT4LmM 131313 +IG5o4bq5 131314 +csO2 131315 +16HXmNeZ 131316 +44GV44KT44GM 131317 +IGThuqd1 131318 +2LnZjg== 131319 +2KrYsdin 131320 +15LXk9ec 131321 +IHTDqWNuaWNh 131322 +15vXoNeZ150= 131323 +16rXp9ep 131324 +16rXp9ep15XXqNeq 131325 +INC90LXQs9C+ 131326 +w6l0YWl0 131327 +IG3hu4Ft 131328 +0YHQtdGC 131329 +IG5o4bqtdA== 131330 +INee16LXnA== 131331 +INeU16LXkdeV15M= 131332 +INeU16LXkdeV15PXlA== 131333 +INeS15nXnA== 131334 +44Gv44Gq44GE 131335 +2KfYptit 131336 +INC30LTQtdGB0Yw= 131337 +15DXmdeg15jXqA== 131338 +2YXZkA== 131339 +INeZ15fXkw== 131340 +2LHYp9mB 131341 +7LKY66as 131342 +15PXoteV16o= 131343 +7Lmc 131344 +INCi0L4= 131345 +IFRo4bq/ 131346 +7Lap 131347 +INeg15vXldef 131348 +2LnZiti0 131349 +0L3QuNC3 131350 +INis2KfZhtio 131351 +157Xp9em15XXog== 131352 +4LmC4LiL 131353 +0YHRg9GC 131354 +7Ja07JqU 131355 +44KS6KaL44Gm 131356 +2KfYsdiv 131357 +IGHDp8SxbA== 131358 +INin2YTYrdmK2KfYqQ== 131359 +4LiB4LmH4LmE4LiU4LmJ 131360 +44Gd44KM44KS 131361 +2LnYttmI 131362 +INCz0YDQsNC2 131363 +INCz0YDQsNC20LTQsNC9 131364 +4LiI4Liw4LiV4LmJ4Lit4LiH 131365 +IOydtOufrA== 131366 +IOydtOufrO2VnA== 131367 +IHRyw6FjaA== 131368 +2YbZjg== 131369 +IGvEsXNh 131370 +w5Q= 131371 +0YjQutCw 131372 +44Gu5Lq6 131373 +INCf0L7RgQ== 131374 +INCf0L7RgdC70LU= 131375 +0YPQu9GM 131376 +2YjYp9is2Yc= 131377 +2YLYsdio 131378 +4Lib4LiP4Li04Lia4Lix4LiV4Li0 131379 +6rCZ 131380 +INee16A= 131381 +INGB0LLQvtC4 131382 +2KjYsdin2YXYrA== 131383 +INix2Yg= 131384 +0L/RgNC+0LQ= 131385 +0L/RgNC+0LTQsNC2 131386 +IGJ5xYJ5 131387 +4Lin4Lix4Lii 131388 +IGfDtnLDvG4= 131389 +IMOI 131390 +0Y7RidC40Lw= 131391 +INGC0LDQutC+0Lk= 131392 +2YHZiNix 131393 +INmB2LnZhA== 131394 +INCx0LXQuw== 131395 +65Cg 131396 +ZXLDrWE= 131397 +INGB0LLQvtGO 131398 +IGzDow== 131399 +IGzDo25o 131400 +4LmA4Lie4Li34LmI4Lit4LmD4Lir4LmJ 131401 +2YLZhg== 131402 +2KrYt9mI2YrYsQ== 131403 +IHNhecSx 131404 +INGB0LXQudGH0LDRgQ== 131405 +INeQ15fXqNeq 131406 +16fXldek15Q= 131407 +16fXldeo16E= 131408 +INiz2YU= 131409 +INeY15nXpNeV15w= 131410 +7J20652864qU 131411 +2K/Ysdin2LPYqQ== 131412 +6LW344GT 131413 +15fXmdeg 131414 +15fXmdeg15XXmg== 131415 +15PXpw== 131416 +IOunng== 131417 +INC60L7QvNCw0L3QtA== 131418 +INCR0L4= 131419 +INC40LPRgNGL 131420 +4Lia4Li1 131421 +INij2Y4= 131422 +0LLQtdC9 131423 +INin2YTYrNiv2YrYrw== 131424 +INmE2KU= 131425 +INeV15DXoNeZ 131426 +INeU16HXmQ== 131427 +0LjRh9C10YHQutC+0LPQvg== 131428 +2LHZiNit 131429 +4LiB4Liy4Lij4Lio4Li24LiB4Lip4Liy 131430 +IFRyxrDhu51uZw== 131431 +0LjQs9GA0LA= 131432 +xLFsbWFzxLE= 131433 +INC80LDRgdGB 131434 +44Go44GN44Gr 131435 +4LiX4Li14LmI4Lic4LmI4Liy4LiZ 131436 +4LiX4Li14LmI4Lic4LmI4Liy4LiZ4Lih4Liy 131437 +INin2YTYs9in2KjZgg== 131438 +INee16LXmA== 131439 +0LLQsNGC0Yw= 131440 +bcO8xZ8= 131441 +INec15vXmg== 131442 +IHThu4tjaA== 131443 +2YHZh9mF 131444 +2KrYr9ix2YrYqA== 131445 +2LTZgw== 131446 +INeR157XmQ== 131447 +INeR157XmdeV15fXkw== 131448 +2YLYt9in2Lk= 131449 +44Gq44GX 131450 +15XXpteZ15A= 131451 +INmI2LPZig== 131452 +0LfRgw== 131453 +IHlhdA== 131454 +IHlhdMSxcsSxbQ== 131455 +66eO 131456 +IHRo4bqvbmc= 131457 +44GK5a6i 131458 +44GK5a6i5qeY 131459 +IFRoacOqbg== 131460 +44Gr5a++44GX44Gm 131461 +0YDQuNGB 131462 +2YbYqtin2KY= 131463 +2YbYqtin2KbYrA== 131464 +INee16nXqA== 131465 +INee16nXqNeT 131466 +INiq2LnYp9mE 131467 +INiq2LnYp9mE2Yk= 131468 +16nXoNeZ 131469 +2YfYp9mF 131470 +15DXoNep15nXnQ== 131471 +IMW8eWNpYQ== 131472 +INGA0YPQsdC70LXQuQ== 131473 +2YrYtg== 131474 +IGthdMSxbA== 131475 +INmF2YjYttmI2Lk= 131476 +IHZhcmTEsXI= 131477 +INmF2YbYt9mC2Kk= 131478 +IFRy4bqnbg== 131479 +INCy0LXRgQ== 131480 +w7xw 131481 +2YXZiNmG 131482 +0YjQu9C4 131483 +IG7Ds25n 131484 +2K7ZhNmB 131485 +INCh0YLQsA== 131486 +INC00L7RgA== 131487 +INC00L7RgNC+0LM= 131488 +IHfFgmHFm25pZQ== 131489 +ZcSfaW4= 131490 +IGhp4buDbQ== 131491 +INCh0LDQvA== 131492 +6ruY7ISc 131493 +INGE0LA= 131494 +44G744GG 131495 +44G744GG44GM 131496 +15XXpNeZ16I= 131497 +6rCI 131498 +2K/ZiNmE 131499 +IHRodcOq 131500 +IGNo4buX 131501 +IOuLueyLoA== 131502 +44GR44KM 131503 +44GR44KM44Gp 131504 +67O07Zi4 131505 +44GV44KM44Gm44GE44G+44GZ 131506 +INC90LDQtNC+ 131507 +IOyCrOuejOuTpA== 131508 +4LmA4LiC4LiV 131509 +4Liq4Lih4Lix4Lii 131510 +esWC 131511 +2KrZiNix 131512 +INep16rXmQ== 131513 +dsOq 131514 +INeR16rXldea 131515 +4LiK4Lix4Lii 131516 +44GE44Gj44Gf 131517 +7J2R 131518 +IHThuqc= 131519 +IHThuqduZw== 131520 +16nXm9eo 131521 +IOq4gA== 131522 +INeU16nXoNeU 131523 +INin2YbZhw== 131524 +56uL44Gh 131525 +csOpcw== 131526 +ZsO8aHJlbg== 131527 +2LHYrdmF 131528 +6re5 131529 +IOKAqw== 131530 +IHN14bqldA== 131531 +4Lif4Li0 131532 +2YrZh9in 131533 +INin2YTYp9iq2K3Yp9iv 131534 +IHR1eeG7g24= 131535 +44G+44KL 131536 +IG3huqFp 131537 +IG5nw6Ju 131538 +44Kw44Op 131539 +5qyy44GX44GE 131540 +2LPYp9ix 131541 +44KC44Gu44Gn44GZ 131542 +0LrQuNC1 131543 +IHNlw6dpbQ== 131544 +5YWl44KK 131545 +44Gq44Gp44KS 131546 +0YLRgNC4 131547 +INGB0L/QtdGG 131548 +INij2K8= 131549 +INC+0LTQvdC+ 131550 +0YjQtdC7 131551 +44OH44O844K/ 131552 +44K344K544OG 131553 +44K344K544OG44Og 131554 +6KGM44GN 131555 +44Go5oCd44Gj44Gf 131556 +4LmA4LiB4Li04LiU4LiC4Li24LmJ4LiZ 131557 +INGC0L7Qtg== 131558 +INGC0L7QttC1 131559 +IHPhuqFjaA== 131560 +INGB0YDQvtC6 131561 +INC60LvQuNC10L3Rgg== 131562 +INmF2LTYsdmI2Lk= 131563 +IGFsdMSxbmRh 131564 +IOy3qA== 131565 +5Lit44Gu 131566 +44GV44Gb44KL 131567 +44GZ44G5 131568 +44GZ44G544Gm 131569 +6rCc67Cc 131570 +IMSRw6pt 131571 +44Gq44GE44Gu44Gn 131572 +7LKg 131573 +16LXkdeT 131574 +IGThuqV1 131575 +4LiE4LiZ4LiX4Li14LmI 131576 +IEPDoWNo 131577 +2KrYudmE2YrZhQ== 131578 +IGjhuqFp 131579 +44K744OV44Os 131580 +INmG2YHYs9mH 131581 +IO2Gte2VtA== 131582 +0YjQu9C+ 131583 +INC90LDQv9GA0LDQsg== 131584 +INC90LDQv9GA0LDQstC70LXQvQ== 131585 +0YDRg9GH 131586 +7ZSM 131587 +INeR16jXmdeQ 131588 +44Gu44G/ 131589 +44Gr44GK44GE44Gm 131590 +15HXoNen 131591 +44Ko44Oz 131592 +2KvZhNin2Ks= 131593 +IG3hu7k= 131594 +INGB0LDQudGC0LU= 131595 +INC10LzRgw== 131596 +2KrYutmK 131597 +2KrYutmK2YrYsQ== 131598 +2K7YtdmI2LU= 131599 +0YLQtdC70Lg= 131600 +INeV15zXm9ef 131601 +16TXoted 131602 +INC/0L7RjdGC0L7QvNGD 131603 +2LHYp9mG 131604 +0LjRgtC10LvQtdC5 131605 +0L/QuNGB0LDQvQ== 131606 +16LXpQ== 131607 +IOyCrOyXhQ== 131608 +2YXYsg== 131609 +2KzZhdmK2Lk= 131610 +66m07ISc 131611 +4Lic4Lil4Li04LiV4Lig4Lix 131612 +4Lic4Lil4Li04LiV4Lig4Lix4LiT 131613 +4Lic4Lil4Li04LiV4Lig4Lix4LiT4LiR 131614 +4Lic4Lil4Li04LiV4Lig4Lix4LiT4LiR4LmM 131615 +INC/0YDQuNC80LXRgA== 131616 +44Kt44O8 131617 +bMOi 131618 +IGNoxINt 131619 +55uu44Gu 131620 +44GE44GL 131621 +44Go6KiA44GG 131622 +15bXldeS 131623 +INeR15PXmQ== 131624 +INeR15PXmdeV16c= 131625 +44GK5bqX 131626 +4LiV4Lit4LiZ4LiZ4Li14LmJ 131627 +IHBo4buRaQ== 131628 +0L/Rgg== 131629 +4Liq4LiZ4Liy4Lih 131630 +2LfZiA== 131631 +2LXYp9it 131632 +2LXYp9it2Kg= 131633 +IETDvA== 131634 +IETDvG55YQ== 131635 +INC/0L7QutCw 131636 +0L/QsNC7 131637 +IMSR4bqjbw== 131638 +INin2YTZgdmI2LE= 131639 +INin2YTZgdmI2LHZg9iz 131640 +IG3DoXU= 131641 +0LrRgNC10L8= 131642 +INin2YTYs9in2LnYqQ== 131643 +INCz0L7RgNC+0LTQsA== 131644 +2YHYtdmE 131645 +0LDQudGC0LU= 131646 +INC00L7Qsw== 131647 +INC00L7Qs9C+0LLQvtGA 131648 +INil2LA= 131649 +INeR15vXnNec 131650 +2YrYqtmH 131651 +15LXkdeo 131652 +IGJpcsOn 131653 +IGJpcsOnb2s= 131654 +66y47ZmU 131655 +44Gd44GG44Gq 131656 +2LHYp9it 131657 +INmF2LHYqQ== 131658 +INC00LXQvdGM0LPQuA== 131659 +ZsOk 131660 +4LiC4LmJ4Liy4Lin 131661 +INGB0L7QstGA0LXQvA== 131662 +INGB0L7QstGA0LXQvNC10L3QvQ== 131663 +15zXl9el 131664 +6Imv44GP 131665 +INmB2KM= 131666 +INeV15bXlA== 131667 +INC30LDQvdC4 131668 +INC30LDQvdC40LzQsA== 131669 +IOqwgOyngOqzoA== 131670 +IGjGoWk= 131671 +44Gq44Gu44GL 131672 +44OG44Os44OT 131673 +INeo15HXldeq 131674 +4LiV4Li1 131675 +INeR16nXoNeq 131676 +IFThuqFp 131677 +IHRodeG6rW4= 131678 +0YHQtdC7 131679 +0ZHQvA== 131680 +ZHppxIc= 131681 +INGB0LrQsA== 131682 +INGB0LrQsNGH 131683 +INGB0LrQsNGH0LDRgtGM 131684 +15XXnteV 131685 +0LPQu9Cw 131686 +INC80LjQvdGD0YI= 131687 +5Ye644GZ 131688 +INeX15nXmdeR 131689 +INeq15LXldeR15Q= 131690 +4Lij4Li54Lib4LmB4Lia4Lia 131691 +0L3QuNGG0LA= 131692 +IMSwbg== 131693 +INij2Lk= 131694 +INi22YXZhg== 131695 +2YXYq9in2YQ= 131696 +IHlhxZ9hbg== 131697 +IOyXsOq1rA== 131698 +IEzDqg== 131699 +16nXnNeX 131700 +44GP44Gq44KL 131701 +7JeG7J20 131702 +INGC0YDQuA== 131703 +INGH0LDRgdGC0L4= 131704 +INC+0LHRgNCw0YI= 131705 +0L/Qu9C+ 131706 +2K/Yrg== 131707 +2K/YrtmI2YQ= 131708 +2LPZhw== 131709 +4Lit4Liy4LiB 131710 +4Lit4Liy4LiB4Liy4Lio 131711 +INeb15bXlA== 131712 +INeU16LXoden 131713 +INin2YTYo9mG 131714 +5bm044Gr 131715 +16LXqdeV 131716 +INep16LXldeq 131717 +IG3DoG4= 131718 +15DXqNeZ 131719 +c8SxeWxh 131720 +2YHYsdmC 131721 +0L3QuNGF 131722 +INiq2LPYqg== 131723 +6KaL44Gm 131724 +2K3Yp9mI2YQ= 131725 +15DXmdeb15XXqg== 131726 +IGJhxZ9sYWTEsQ== 131727 +c3TEhQ== 131728 +c3TEhXBp 131729 +4LiX4Li14LmI4LmA4Lij4Liy 131730 +2YLYsdix 131731 +2KzYp9io 131732 +INeR16jXldeo 131733 +4LmA4LiC4LmJ4Liy4LmD4LiI 131734 +157Xl9en16g= 131735 +YWzEsW0= 131736 +INeh15nXpNeV16g= 131737 +44Gn44GC44KM44Gw 131738 +INep157Xldeo15XXqg== 131739 +INeV157XlA== 131740 +44GT44Gd 131741 +aWTDqWU= 131742 +5LiL44GV44GE 131743 +2KrZhtin2YjZhA== 131744 +IOC4peC5ieC4suC4mQ== 131745 +IOyasOumrOuKlA== 131746 +2KfZhtin 131747 +0YHRgtC+0Lk= 131748 +0LHQvtGC 131749 +IHlhxZ9hbQ== 131750 +a8O2eQ== 131751 +2KXZhA== 131752 +0YDRi9Cy 131753 +6riw7JeF 131754 +INeU157Xkw== 131755 +INeU157Xk9eZ16DXlA== 131756 +2K/YqA== 131757 +16LXmdeg15k= 131758 +157XqteX 131759 +INek16jXmQ== 131760 +44OL44O8 131761 +2KfZhdmK 131762 +IG5o4bqxbQ== 131763 +44KM44Gq44GE 131764 +2KrYudix2YE= 131765 +IOuniOydjA== 131766 +7JOw 131767 +IGjhuqVw 131768 +16jXkteZ15w= 131769 +2KjZjg== 131770 +IHLEg25n 131771 +Z2zEhWQ= 131772 +INGB0LjRgdGC0LXQvNGL 131773 +IGtow7Nh 131774 +44Gn44GZ44KI44Gt 131775 +5aSn44GN44GP 131776 +6riw66W8 131777 +IGvDqW8= 131778 +2YjYoQ== 131779 +2KzYp9mF 131780 +2KzYp9mF2Lk= 131781 +INei15nXpteV15E= 131782 +dMOpcmk= 131783 +INeq16k= 131784 +INeQ15HXmQ== 131785 +IENoxrDGoW5n 131786 +4Lia4Lij4Li04LmA4Lin 131787 +4Lia4Lij4Li04LmA4Lin4LiT 131788 +44Gk44GP 131789 +INeX15XXnA== 131790 +16LXqteZ15M= 131791 +16nXmdee15Q= 131792 +64Ko 131793 +INep15DXmdef 131794 +INmI2KfZhNil 131795 +0YTQsA== 131796 +IGtow6Ft 131797 +INeY15XXkdeU 131798 +INCy0YvRgQ== 131799 +INCy0YvRgdC+0LrQvg== 131800 +INin2YTYrdiv2YrYqw== 131801 +5Lq644KC 131802 +ZMO8xJ/DvA== 131803 +15nXl9eV15M= 131804 +2KrYudmE2Yo= 131805 +2KrYudmE2YrZgg== 131806 +bMO2 131807 +2KrYrdiv2YrYrw== 131808 +0L3QtdCz0L4= 131809 +INGD0LTQvtCx 131810 +INec157XmQ== 131811 +INeo15XXpteZ150= 131812 +INis2KfYoQ== 131813 +INeR15bXntef 131814 +4Lib4LiB4LiV4Li0 131815 +6auY44GP 131816 +4Lib4Lil4Liy 131817 +IGFydMSxaw== 131818 +IGJ1Z8O8bg== 131819 +16fXoNeZ 131820 +IGtob8Oh 131821 +INmF2LHZg9iy 131822 +IOyekOq4sA== 131823 +2K/Ysdis2Kk= 131824 +157Xqdeo15M= 131825 +IGdp4bqleQ== 131826 +IGNow7NuZw== 131827 +16fXpA== 131828 +2YrYqNip 131829 +IGN6xJlzdG8= 131830 +0LLQsNC70Lg= 131831 +2YPYqA== 131832 +7J+B 131833 +4Liq4Lia4Liy4Lii 131834 +4Lib4Lij4Liw4LiK4Liy4LiK4LiZ 131835 +15LXldej 131836 +65+J 131837 +44Gu44GT44Go 131838 +4Lil4Lit 131839 +IG5naOG7iQ== 131840 +5a2Q44Gp 131841 +5a2Q44Gp44KC 131842 +4LmE4LiU4LmJ4Lit4Lii 131843 +4LmE4LiU4LmJ4Lit4Lii4LmI4Liy4LiH 131844 +15PXog== 131845 +INin2YTYqtmJ 131846 +INGB0L7QstC10YI= 131847 +IHF1YWxpdMOg 131848 +5Ye644GX 131849 +INGA0YPQutC+0LI= 131850 +INGA0YPQutC+0LLQvtC0 131851 +4Lij4Liy4Lii4Lil4Liw4LmA4Lit4Li14Lii4LiU 131852 +44Gq44GL44Gq44GL 131853 +6riw6rSA 131854 +INeX15XXqQ== 131855 +INeX15XXqdeR 131856 +0LvQvtGC 131857 +4LiZ4Liw4LiE4Lij4Lix4Lia 131858 +16fXkdeV16bXlA== 131859 +IHRow6Fp 131860 +INep15HXlA== 131861 +INGI0LrQvtC7 131862 +INmE2YPZhA== 131863 +4LmD4LiZ4LiK4LmI4Lin4LiH 131864 +INmF2YPYp9mG 131865 +65WM 131866 +IGPhuqNp 131867 +IENow60= 131868 +0YPRh9Cw 131869 +7J21 131870 +IHjhuqN5 131871 +4LiK4LiZ4Li04LiU 131872 +IGPhuq11 131873 +0LrRgNC+0LI= 131874 +c3PDqQ== 131875 +INmG2YjYuQ== 131876 +INCi0LA= 131877 +2K7Zhdiz 131878 +16TXldeh15g= 131879 +IG3huq9j 131880 +IMSRZW0= 131881 +4LiB4Liy4Lij4LmD4LiK4LmJ 131882 +16jXldeh 131883 +INCb0LU= 131884 +IHRo4but 131885 +4Lij4LmI4Liy4LiH4LiB4Liy4Lii 131886 +w7x6w7w= 131887 +5pel5pys44Gu 131888 +6rO87KCV 131889 +16nXmdeQ 131890 +IOyeiOqzoA== 131891 +15HXldec 131892 +7JWF 131893 +INmI2KfZhNin 131894 +INCb0Lg= 131895 +INCy0YHRkQ== 131896 +IHXFvHl0a293 131897 +15fXldec 131898 +2LHZgdi2 131899 +IHNvbnXDpw== 131900 +44GE44G+44Gb44KT 131901 +7IKs7JeF 131902 +64iE 131903 +0YLQtdC6 131904 +IHVkemlhxYI= 131905 +0LvQtdC3 131906 +INeU15nXmdeq15k= 131907 +44KJ44KM44Gm 131908 +2YXYs9ik2YjZhA== 131909 +2LHYp9ix 131910 +0YLQsNC9 131911 +IMSRw6Bv 131912 +INeo15XXkQ== 131913 +INeR16nXkdeZ15w= 131914 +5LuK5Zue44Gv 131915 +44K444Ol 131916 +INei15HXqA== 131917 +44Gb44Gm 131918 +0L/QvtC70Yw= 131919 +YWtsxLE= 131920 +IGvDrW5o 131921 +2K/Yqg== 131922 +0LvQvtC20LXQvdC40LU= 131923 +INin2YTZhdi1 131924 +INin2YTZhdi12LHZig== 131925 +4LiI4Lij4Li04LiH4LmG 131926 +INin2YTYtNix2YPYqQ== 131927 +IMSR4buP 131928 +44Ob44OG 131929 +44Ob44OG44Or 131930 +0Y3QutC+0L0= 131931 +0Y3QutC+0L3QvtC8 131932 +INmI2LnZhg== 131933 +INeq16A= 131934 +INeq16DXkNeZ 131935 +INin2YTYr9mI2YTZitip 131936 +IOyngOyXrQ== 131937 +44Gn44GZ44GL 131938 +INCy0LDRgNC4 131939 +INCy0LDRgNC40LDQvdGC 131940 +INin2YTYudix2Kg= 131941 +0LXQu9Cw 131942 +IHTGsOG7m25n 131943 +c2vEhQ== 131944 +IG3hurdj 131945 +4Liq4Lix4LiB 131946 +44OT44O8 131947 +INeR15LXnA== 131948 +INeR15LXnNec 131949 +44OV44Kh44Oz 131950 +15HXmdem 131951 +15HXmdem15XXog== 131952 +0LvQuNGB0YI= 131953 +4Lif4Li4 131954 +4Lif4Li44LiV 131955 +4Lif4Li44LiV4Lia4Lit4Lil 131956 +4Lid4LmI4Liy4Lii 131957 +7J6Q7J2Y 131958 +INiz2YjZgQ== 131959 +INep15TXqg== 131960 +IOqxuA== 131961 +16LXkdeV15M= 131962 +44GZ44KL44GT44Go44GM 131963 +INGH0LDRgdGC0Yw= 131964 +44Ki44Oh44Oq 131965 +44Ki44Oh44Oq44Kr 131966 +IHRha8SxbQ== 131967 +IHPhu5s= 131968 +IHPhu5tt 131969 +16nXqNeU 131970 +6KiA44GG 131971 +0LvQsNC9 131972 +7Luk 131973 +15vXoNeU 131974 +2YjZgdmK 131975 +7ZeI 131976 +bHXEn3U= 131977 +IOuMgO2VtA== 131978 +INec15HXmdeq 131979 +INeU16jXkNep15XXoNeU 131980 +2LXZhQ== 131981 +IHPDtnlsZWQ= 131982 +IHPDtnlsZWRp 131983 +4Lib4Liy4LiB 131984 +IGFyZMSxbmRhbg== 131985 +44GI44Gf 131986 +4LiX4Lix4LmI4Lin4LmE4Lib 131987 +INeg15XXodej 131988 +0LHQvtC70Yw= 131989 +44KT44Gn44GZ44GR44Gp 131990 +INC70LjRiNGM 131991 +INeR15DXmQ== 131992 +INCx0YvRgdGC0YDQvg== 131993 +4Liq4Lix4LiZ 131994 +INeR16TXoNeZ 131995 +0LvQtdGH 131996 +INin2YTYrtio2LE= 131997 +IHPDs2M= 131998 +IHRow7o= 131999 +INC/0Y/Rgg== 132000 +44GK6aGY 132001 +44GK6aGY44GE 132002 +0YLQuNC9 132003 +44Gr44Gk44GE44Gm44Gv 132004 +16TXnw== 132005 +INC00LLRg9GF 132006 +4LiN4Li14LmI 132007 +4LiN4Li14LmI4Lib 132008 +4LiN4Li14LmI4Lib4Li4 132009 +4LiN4Li14LmI4Lib4Li44LmI4LiZ 132010 +0L7Qv9C10YA= 132011 +INin2YTYqNi02LE= 132012 +INin2YTZhdin2YQ= 132013 +xLF5b3J1eg== 132014 +2KrYrdmF2YrZhA== 132015 +4LiB4Liw 132016 +6ZaT44Gr 132017 +15fXldep 132018 +IE5ndXnDqm4= 132019 +44GE44Gm44GE44KL 132020 +0LTRg9GI 132021 +16nXpNei 132022 +0YjRgw== 132023 +5a6f6Zqb44Gr 132024 +INGA0LDQudC+0L0= 132025 +IENo4buJ 132026 +2YbYtdix 132027 +IOyatA== 132028 +IOyatOyYgQ== 132029 +INeU15PXmdef 132030 +2K3Yr9iv 132031 +2LHYsg== 132032 +INin2YTYr9mF 132033 +IFBow6Fw 132034 +0YLRgdGP 132035 +6KaL44GI 132036 +IHRp4buDdQ== 132037 +IHPhu61h 132038 +0LDRjtGC0YHRjw== 132039 +IELDoQ== 132040 +INeV15vXnA== 132041 +0JY= 132042 +0YjQuNC8 132043 +7J2064qU 132044 +0LvQtdCy 132045 +ZMSxaw== 132046 +IHByw6lzZW50ZQ== 132047 +IGFyYcOn 132048 +2LXYr9mC 132049 +INC/0L7QvNC+0LM= 132050 +INin2YTYtNix2YI= 132051 +INmI2KfZhNiw2Yo= 132052 +2LHZitin 132053 +15HXoNeV16o= 132054 +IG5n4buTaQ== 132055 +16jXldek 132056 +16jXldek15A= 132057 +IHRo4bqlcA== 132058 +44KE44Gv 132059 +44KE44Gv44KK 132060 +INin2YTYrNiv2YrYr9ip 132061 +6Z2e5bi444Gr 132062 +2YrZhNmK 132063 +7Kq9 132064 +2KrYudin2YXZhA== 132065 +44Gg44Go5oCd44GE44G+44GZ 132066 +2YXZhQ== 132067 +0LjRgtC10LvQuA== 132068 +44K144Kk44K6 132069 +2KfYr9in2Ko= 132070 +INin2YTZhdin2YTZitip 132071 +2YPYp9iq2Kg= 132072 +0LrQu9C4 132073 +0LLQtdGA0YU= 132074 +0L3QuNGH 132075 +INec16LXkdeV15M= 132076 +15zXmdeU 132077 +2K3Zjg== 132078 +44Kk44OZ 132079 +44Kk44OZ44Oz44OI 132080 +INeq15LXldeR15XXqg== 132081 +0YTQvtC9 132082 +INC00YDRg9Cz0LjQtQ== 132083 +15DXlteV16g= 132084 +IHBlcsOy 132085 +7JWe 132086 +5YCf44KK 132087 +16jXpteZ 132088 +15DXlg== 132089 +0LDQu9GM0L3Ri9GF 132090 +IOqyg+ycvOuhnA== 132091 +INC/0YDQsNCy0L4= 132092 +INin2YTYo9ix2LY= 132093 +4LmA4LiX4LiE 132094 +4LmA4LiX4LiE4LmC4LiZ 132095 +4LmA4LiX4LiE4LmC4LiZ4LmC4Lil 132096 +4LmA4LiX4LiE4LmC4LiZ4LmC4Lil4Lii 132097 +4LmA4LiX4LiE4LmC4LiZ4LmC4Lil4Lii4Li1 132098 +16bXqNeZ 132099 +INCa0YM= 132100 +xLFsbWE= 132101 +5rG644KB 132102 +2KfZiA== 132103 +INeT16fXldeq 132104 +4LiE4Lij4Li5 132105 +INmF2LPYqtmI2Yk= 132106 +4Lib4LmJ4Lit4LiH 132107 +4Lib4LmJ4Lit4LiH4LiB4Lix4LiZ 132108 +15PXldee15Q= 132109 +INGB0LXQs9C+0LTQvdGP 132110 +2LPZiNmC 132111 +16jXl9eV15E= 132112 +INil2K/Yp9ix2Kk= 132113 +0YXQvtC2 132114 +6YGO44GO 132115 +4LiE4Lit 132116 +0L3Rg9C7 132117 +15XXm9eU 132118 +2YjYp9mB2YI= 132119 +15vXnNec 132120 +INeU15PXlQ== 132121 +IGzEqW5o 132122 +IGto4bqjbw== 132123 +15DXntem16I= 132124 +66i4 132125 +INeb15nXpg== 132126 +INeb15nXpteT 132127 +INC00L7Qu9C20L3Riw== 132128 +4Lir4Lin4Lix4LiH 132129 +44OH44K2 132130 +44OH44K244Kk44Oz 132131 +IG5n4bud 132132 +5Lit44Gr 132133 +4LiB4Lil4Lix4Lia4Lih4Liy 132134 +2KzZhdin2YQ= 132135 +4LiU4Lix4LiH4LiB4Lil4LmI4Liy4Lin 132136 +2LPZg9mG 132137 +2LPZhg== 132138 +IMO2emVsbGlrbGU= 132139 +0LfQtdGA 132140 +cnrEmQ== 132141 +157Xldeo15Q= 132142 +IGzhuqE= 132143 +157Xmdeg15k= 132144 +16jXmdeq 132145 +44Gd44KM44GM 132146 +44GL44KM 132147 +INmK2YXZg9mG2YM= 132148 +w7ZmZmVudGxpY2g= 132149 +0LPQsNC9 132150 +INin2YTYrdmE 132151 +IG1pxJlkenk= 132152 +INGH0LDRgdGC0Lg= 132153 +dWrEhWN5 132154 +IGJhxJ9sxLE= 132155 +IGlsacWfa2k= 132156 +2YHYp9ih 132157 +44Oq44Oz44Kw 132158 +IGjDo25n 132159 +INC60L7QvdGC0YA= 132160 +INC60L7QvdGC0YDQvtC7 132161 +0LrQvtC/ 132162 +16nXmdei 132163 +16nXmdei15XXqA== 132164 +INCS0LDRiA== 132165 +INeU16rXpw== 132166 +2YXZhti5 132167 +IHBvbMOtdGljbw== 132168 +INCz0L7Qu9C+0LI= 132169 +INil2Yo= 132170 +2KXZhtiq2KfYrA== 132171 +4Lia4Li0 132172 +INCz0L7QstC+0YA= 132173 +INCz0L7QstC+0YDQuNGC 132174 +IHBo4buV 132175 +INGB0LXQvNGM 132176 +44Gv44GC44KK44G+44Gb44KT 132177 +INmI2KfYs9iq 132178 +157Xqdek15g= 132179 +0LfQtdC8 132180 +157Xk9eR16g= 132181 +IO2BsA== 132182 +IOydtOuyiA== 132183 +6rCA64qU 132184 +IOyngOybkA== 132185 +IGNhxYJ5 132186 +IGdlbGnFn3Rpcg== 132187 +0YHQutC+0LU= 132188 +cG9zw6k= 132189 +IGtow7Q= 132190 +4LiV4Li04LiU4LiV4Liy4Lih 132191 +bWlzc8Ojbw== 132192 +INec157XqA== 132193 +INec157XqNeV16o= 132194 +IGLDsw== 132195 +4LiV4Lij4Lin4LiI4Liq4Lit4Lia 132196 +IG5naOG7gQ== 132197 +INCx0LjQtw== 132198 +INCx0LjQt9C90LXRgQ== 132199 +0YHRgtC10YA= 132200 +2YjZjg== 132201 +5qW944GX44E= 132202 +5qW944GX44G/ 132203 +44GT44KM44GL44KJ 132204 +d2nEhXphbg== 132205 +4Liq4Lit4LiZ 132206 +2YXZiNix 132207 +16DXk9ec 132208 +INeU15DXk9ed 132209 +INC80L7Qu9C+0LQ= 132210 +2K3Zhdin 132211 +2K3Zhdin2YrYqQ== 132212 +0YHRgtGA0LDQvQ== 132213 +IGJ14buVaQ== 132214 +16rXmdeZ150= 132215 +YWJpbGVjZcSfaQ== 132216 +TMSw 132217 +4LmA4Lii4Lit4Liw 132218 +4LiI4Lij 132219 +2LPZg9in2YY= 132220 +4LiZ4Lix4LiU 132221 +IG3huqV5 132222 +INCR0LA= 132223 +c8WCYXc= 132224 +INmB2YTYpw== 132225 +INC60L7RgtC+0YDQvtC5 132226 +INC/0LvQvtGJ 132227 +INC/0LvQvtGJ0LDQtA== 132228 +44KC44GC44KK 132229 +c3pjesSZ 132230 +15nXpNeV 132231 +16nXnteq 132232 +b3dhxYJh 132233 +IG7DtG5n 132234 +16bXkdeQ 132235 +IOyeiOyXiA== 132236 +44G+44Go 132237 +44G+44Go44KB 132238 +2YLZiNin2Ko= 132239 +44G/44KT44Gq 132240 +INeb157XoteY 132241 +IHjDumM= 132242 +77yG 132243 +csSZ 132244 +csSZY3o= 132245 +15PXnteZ 132246 +IHThuq1u 132247 +4LiU4Lin4LiH 132248 +6rK97KCc 132249 +0L/Rg9GC 132250 +2KPYsdio2Lk= 132251 +INee16nXqtee16k= 132252 +44K/44Kk44OX 132253 +IOygnOqwgA== 132254 +INec15vXnw== 132255 +INC+0LHRgNCw0LfQvtC8 132256 +2YrZg9in 132257 +d8WC 132258 +d8WCYXNu 132259 +INin2YTZiNi32YbZitip 132260 +2KjZitio 132261 +157XnNeZ 132262 +0LrRgNCw0YI= 132263 +6riw7JeQ 132264 +2YLYp9iv 132265 +INmE2K/ZiQ== 132266 +4LiE4Lin4Liy4Lih4Lij4Li54LmJ 132267 +157Xk9eZ16DXmdeV16o= 132268 +6rKo 132269 +IO2YhOyerA== 132270 +16nXqteZ 132271 +0LzQvtC7 132272 +IG3DoWk= 132273 +4Lie4Li04Lih 132274 +4Lie4Li04Lih4Lie 132275 +4Lie4Li04Lih4Lie4LmM 132276 +4Lir4Lil4Lin4LiH 132277 +IHh1ecOqbg== 132278 +15fXodeo 132279 +2LHZiNmG 132280 +44Gd44GG44GE44GG 132281 +44Gd44KM44Ge 132282 +44Gd44KM44Ge44KM 132283 +INeb16nXlA== 132284 +0J/RgNCw0LI= 132285 +157Xkdem16I= 132286 +2LnYsdio 132287 +IGLDvHnDvA== 132288 +16TXmdeq15XXlw== 132289 +4LiI4Lia 132290 +INij2YPYqNix 132291 +16nXqNeq 132292 +157Xm9ep15nXqA== 132293 +INmI2YXYuQ== 132294 +44Gu44Gf44KB44Gr 132295 +4LiZ4Lix4Lia 132296 +7LCw 132297 +44Oq44OV44Kp 132298 +44Oq44OV44Kp44O844Og 132299 +IGPGsOG7nW5n 132300 +IOyggO2drA== 132301 +2YXZhti42YXYqQ== 132302 +IGhpw6diaXI= 132303 +44Gn44Gv44GC44KK44G+44Gb44KT 132304 +4Lij4Lit4Lii 132305 +65Cc64uk 132306 +44GZ44GQ44Gr 132307 +0LrQu9Cw 132308 +IMO8csO8bmxlcg== 132309 +IGtp4buDdQ== 132310 +IOuCmOuKlA== 132311 +0YLQutC4 132312 +0YHQuNC8 132313 +IGNo4buJbmg= 132314 +44KC44Gq44GE 132315 +4Lio4Lij4Li1 132316 +5pu/44GI 132317 +dGHFnw== 132318 +INio2YPZhA== 132319 +INeV15nXqQ== 132320 +dmlzw6Nv 132321 +5Lyd 132322 +5Lyd44GI 132323 +2YTYrw== 132324 +15zXmdee 132325 +15zXmdee15XXkw== 132326 +dMOzcmlh 132327 +2K/ZkQ== 132328 +2KfZhdix 132329 +IOq3uOugh+qyjA== 132330 +IG1hdGVyaWHFgg== 132331 +4LiX4Lij4Liy 132332 +4LiX4Lij4Liy4Lia 132333 +44Gu5pa544GM 132334 +44Gm44GN44Gf 132335 +2LbYug== 132336 +2LbYuti3 132337 +INmK2LnZhtmK 132338 +0LXQu9C+ 132339 +15DXlNeR15Q= 132340 +16LXng== 132341 +xZ/EsWs= 132342 +7J6Q64qU 132343 +44K/44Oz 132344 +IGLhuq10 132345 +157Xqdek15fXlA== 132346 +0LrRgNC4 132347 +0LHQu9C4 132348 +4Liq4Lix4LiV 132349 +4Liq4Lix4LiV4Lin4LmM 132350 +INiz2YbZiNin2Ko= 132351 +IFBoxrDGoW5n 132352 +44Gm44GX44G+44Gj44Gf 132353 +44Gq44Gc 132354 +INeR15DXlQ== 132355 +IGPDoW4= 132356 +2LPYrNmE 132357 +IGzhur0= 132358 +44Kx44O844K5 132359 +INen15nXkdec 132360 +4Lia4LiX4LiE4Lin4Liy4Lih 132361 +INeV15vXnw== 132362 +INC/0YDQtdC00YHRgtCw0LLQu9C10L0= 132363 +IG7hu5Fp 132364 +IGNvbWVudMOhcmlv 132365 +0LXQvdC40LXQvA== 132366 +IHThu48= 132367 +bMOg 132368 +INep15TXmdeU 132369 +0YHQu9Cw0LI= 132370 +INin2YTZiNmE2Kc= 132371 +INin2YTZiNmE2KfZitin2Ko= 132372 +2YTYrNmG2Kk= 132373 +16fXldeo15A= 132374 +0LHRi9GC 132375 +IOym 132376 +IOymiQ== 132377 +44Gn44GZ44GX 132378 +4Lir4Lij4Li34Lit4LmE4Lih4LmI 132379 +0LfQsNGJ0LjRgg== 132380 +2YHZhNiz2LfZitmG 132381 +IG1p4buFbg== 132382 +4LmA4Lii4LmH4LiZ 132383 +IMOnYWzEscWfYW4= 132384 +15nXkteU 132385 +IEXEnw== 132386 +IEXEn2l0aW0= 132387 +44OD44K344Ol 132388 +INC+0L/Riw== 132389 +INC+0L/Ri9GC 132390 +2LHYug== 132391 +2LHYutio 132392 +INGB0LLQvtC40YU= 132393 +4Lib4Lij4Liw4LiV 132394 +4Lib4Lij4Liw4LiV4Li5 132395 +INee15DXkw== 132396 +15vXldeg15nXnQ== 132397 +4LiZ4Li1 132398 +INCy0YvRhdC+0LQ= 132399 +44Gu5Lit44Gr 132400 +16TXnNeQ 132401 +INmI2YTZitiz 132402 +16TXldeo16E= 132403 +16TXldeo16HXnQ== 132404 +2YXYs9mE2YU= 132405 +IG5nw7Rp 132406 +15PXnteV16o= 132407 +44KS5L2/44Gj44Gm 132408 +INC/0L7QvNC+0YnRjNGO 132409 +2KPYs9ix 132410 +0LHQu9C+0Lo= 132411 +2YLZhw== 132412 +44GX44G+44GE 132413 +44Go44GX44Gf 132414 +INC/0LXRgQ== 132415 +44OJ44Or 132416 +15fXnQ== 132417 +44GX44Gq44GM44KJ 132418 +INCf0YDQtdC0 132419 +44OB44Kn44OD44Kv 132420 +5by344GE 132421 +16nXmdeo15XXqg== 132422 +0LTQsNC10YI= 132423 +15nXkdeV 132424 +IGdlbsOn 132425 +0LjQu9Cw0YE= 132426 +0LjQu9Cw0YHRjA== 132427 +INio2YTYrw== 132428 +5oKq 132429 +5oKq44GE 132430 +INee16nXqg== 132431 +5qeY44CF 132432 +5qeY44CF44Gq 132433 +4LiY4Lij4Lij4Lih4LiK4Liy4LiV4Li0 132434 +INmD2KfZhdmE 132435 +INin2YTYs9mF 132436 +15HXmNeZ15c= 132437 +Y8Oh 132438 +Z8OqbmNpYQ== 132439 +44K544K/44O8 132440 +4LiX4Liz4LiB4Liy4Lij 132441 +15nXnNeq 132442 +INeZ15XXpteQ 132443 +d8Ozag== 132444 +4Lia4Li44LiE 132445 +4Lia4Li44LiE4LiE4Lil 132446 +2LnYqtmF 132447 +2LnYqtmF2K8= 132448 +44Gd44KM44Gr 132449 +INin2YTYqtin2LHZitiu 132450 +2YLYsdin2KE= 132451 +IHnDtm5ldGlt 132452 +16fXqdeo 132453 +INGB0L/QvtGA0YI= 132454 +INeo15DXqdeV158= 132455 +IHNlw7FhbA== 132456 +IGNo4bqvbg== 132457 +54Sh44GE 132458 +INC00L7RgdGC0LDRgg== 132459 +INC00L7RgdGC0LDRgtC+0YfQvdC+ 132460 +IMOhZ3Vh 132461 +4LiB4Lij4LiT 132462 +4LiB4Lij4LiT4Li1 132463 +INee16nXlQ== 132464 +IHRy4bqjaQ== 132465 +67KM 132466 +dWrEhWN5Y2g= 132467 +2YHYsdiv 132468 +4LmD4LiB4Lil 132469 +4LmD4LiB4Lil4LmJ 132470 +44KL44Gu44Gv 132471 +16jXldeV15c= 132472 +2YbZgw== 132473 +INin2YTZhtmC 132474 +44Gu44Gn44GX44KH44GG 132475 +44Gu44Gn44GX44KH44GG44GL 132476 +2YXYudix2YE= 132477 +2YXYudix2YHYqQ== 132478 +0YPRidC1 132479 +INeR16LXmden16g= 132480 +2KrYtdmE 132481 +INeU15DXqA== 132482 +INeU15DXqNel 132483 +IMWeaQ== 132484 +4LiC4Liy4LiU 132485 +7Z6Y 132486 +44Gq44KT44Go 132487 +IOyCrOuekQ== 132488 +bMO8xJ/DvA== 132489 +2KjYp9ih 132490 +INin2YTYotiu2LE= 132491 +IGZhbcOtbGlh 132492 +IFRow6FuZw== 132493 +0YnQtdC90LjRjw== 132494 +44Kv44Ot 132495 +IFRo4bup 132496 +5pu444GN 132497 +0LXQvdC90L7QuQ== 132498 +7J6h 132499 +0LHQu9Cw0LM= 132500 +0LHQu9Cw0LPQvg== 132501 +0L/QvtCy 132502 +4LmB4Lin 132503 +4LiH4LiE4LmM 132504 +4Lit4Lix4LiZ4LiU4Lix4Lia 132505 +44GC44GS 132506 +4Lij4LmJ4Liy4Lii 132507 +w7xuw7xu 132508 +INeZ15vXldec15Q= 132509 +0LfQvtC9 132510 +INCc0Lg= 132511 +0LzQsNGC0LXRgNC40LDQuw== 132512 +IOuztOuptA== 132513 +2K3Zgdi4 132514 +w6rMgQ== 132515 +44Gr44GZ44KL 132516 +INeq15A= 132517 +INeU16HXlQ== 132518 +INGB0YLQvtGA 132519 +INGB0YLQvtGA0L7QvQ== 132520 +44OI44OD44OX 132521 +xYJvxZvEhw== 132522 +64W8 132523 +65Od 132524 +INmI2KfZhNi5 132525 +7LaU 132526 +INeZ16bXkA== 132527 +INGA0LDQt9C00LXQuw== 132528 +0LDQu9GM0L3QsNGP 132529 +15DXoNep15k= 132530 +c3BvxYI= 132531 +c3BvxYJlYw== 132532 +c3BvxYJlY3pu 132533 +2KXYudmE 132534 +2KXYudmE2KfZhg== 132535 +2YLZiNmJ 132536 +7ZWY66m07ISc 132537 +2KrYt9mI2LE= 132538 +IHNpw6p1 132539 +4bubdA== 132540 +0LTQstC4 132541 +0LTQstC40LY= 132542 +IHF14bqnbg== 132543 +a8SxbA== 132544 +INC/0YDQuNC30L3QsA== 132545 +IEjDow== 132546 +IEjDo3k= 132547 +INio2KfZhNiq 132548 +bWFuxLFu 132549 +44Kr44Or 132550 +IGvhu7c= 132551 +16fXnNeZ 132552 +65CY7KeA 132553 +2KrYudmE2YU= 132554 +7Iuc7ISk 132555 +7Iu2 132556 +7Zi8 132557 +2YPZitmB 132558 +5aOy44KK 132559 +4Lin4Li04LiK4Liy 132560 +0LHQsNC7 132561 +INij2K0= 132562 +INC00L7Qu9C20LXQvQ== 132563 +4Lij4Liy4LiH 132564 +4Lij4Liy4LiH4Lin4Lix 132565 +4Lij4Liy4LiH4Lin4Lix4Lil 132566 +2YXYp9ih 132567 +2KzYp9ix 132568 +xZo= 132569 +INee15DXlg== 132570 +16jXnteU 132571 +44GL44KC44GX44KM44Gq44GE 132572 +w6l0dWRl 132573 +Y3rEhWM= 132574 +IGfDs3I= 132575 +16DXodeU 132576 +2YXZitiv 132577 +INCf0LXRgNC1 132578 +2KPYrtix 132579 +44Gd44Gu5b6M 132580 +4LmA4LiU4Li14Lii4Lin4LiB4Lix4LiZ 132581 +157XkteV 132582 +157XkteV15XXnw== 132583 +0LTQvtCy 132584 +bWFzxLFuYQ== 132585 +16LXoNeU 132586 +44Kx44OD44OI 132587 +16HXog== 132588 +16HXoteZ16M= 132589 +IFTGsA== 132590 +IHTDs2M= 132591 +7Zmc64+Z 132592 +INCe0LQ= 132593 +INCe0LTQvdCw0LrQvg== 132594 +IGRvbGF5xLE= 132595 +2KTZg9iv 132596 +6rOE7ZqN 132597 +15zXqA== 132598 +0LLQtdGH 132599 +IGto4bufaQ== 132600 +IHRo4buneQ== 132601 +15PXnw== 132602 +4Lij4LiB 132603 +4Lia4Lix4LiV4Lij 132604 +4LmA4LiB4LmI4Liy 132605 +INin2YTYq9in2YQ= 132606 +INin2YTYq9in2YTYqw== 132607 +IHBvZHLDoQ== 132608 +16LXqNeZ 132609 +2YbYrNin2K0= 132610 +IGto4bqvYw== 132611 +7Lih 132612 +xLBN 132613 +44K744OD44OI 132614 +xbxlbmlh 132615 +INec15fXkdeo 132616 +ZXLDoA== 132617 +7LSI 132618 +IGvDvMOn 132619 +IGvDvMOnw7xr 132620 +2KfYqtmH2YU= 132621 +4LiL4LmM 132622 +2YXYtNin2LHZg9ip 132623 +INin2YTYqNi3 132624 +IGTDonk= 132625 +0LXQvdC90YvQvA== 132626 +4LiX4Li14LmI4LmE4Lih4LmI 132627 +2YLZjg== 132628 +IHbGsOG7o3Q= 132629 +IHRyw6w= 132630 +IHdwxYJ5dw== 132631 +QcWe 132632 +0LfQvg== 132633 +INin2YTYs9mK2K8= 132634 +4LiX4Liw4LmA4Lil 132635 +INGB0L7QtNC10YDQttCw 132636 +2LnYt9mK 132637 +INin2YTYudmG 132638 +6ICF44GM 132639 +4LmA4Lir4LiZ 132640 +4LmA4Lir4LiZ4Li34Lit 132641 +IGLDrQ== 132642 +IMO8emVyaW5kZW4= 132643 +IFbFqQ== 132644 +IG51w7Rp 132645 +2YbZhQ== 132646 +0LDQu9GM0L3QvtCz0L4= 132647 +16LXmdef 132648 +2K3Yttix 132649 +INC+0YLQtNC10Ls= 132650 +66qH 132651 +7JWh 132652 +INmE2K/ZitmH 132653 +7Jmc 132654 +IHNla3TDtnI= 132655 +INCy0L7Qt9C80L7QttC90L4= 132656 +INCU0LY= 132657 +IGjDtA== 132658 +5LqL44GM 132659 +0LjRgNC+0LLQsNC90LjQtQ== 132660 +0LDQu9GM0L3QvtC5 132661 +IOuvuOq1rQ== 132662 +2LHYrdmE 132663 +INGN0LrRgQ== 132664 +0L/RgNCw0LLQu9GP 132665 +IG5o4bud 132666 +IMSR4bqp 132667 +IMSR4bqpeQ== 132668 +2YHZg9ix 132669 +INmI2KPYttin2YE= 132670 +44OQ44K5 132671 +16rXldeb16DXmdeq 132672 +0YLQtdC70LXQuQ== 132673 +INil2YTZitmH 132674 +44Go6KiA44Gj44Gm 132675 +INC00LLQtQ== 132676 +IGNo4bqlcA== 132677 +IEzDtg== 132678 +4LiE4Lil4Li0 132679 +4LiE4Lil4Li04Lib 132680 +INiz2YjYsQ== 132681 +INiz2YjYsdmK2Kc= 132682 +157Xl9eV 132683 +c3TDpA== 132684 +0LTQvtCx 132685 +IG5p4buHbQ== 132686 +44Gu5aSn 132687 +16TXqNeV15nXpw== 132688 +16TXqNeV15nXp9eY 132689 +IENow6J1 132690 +INee15TXnQ== 132691 +0YHQutC40Lw= 132692 +INC/0L7Qu9GD0YfQuNGC0Yw= 132693 +2YrZiNmF 132694 +2KvZiNix 132695 +16TXldec15nXmA== 132696 +16TXldec15nXmNeZ 132697 +INC80LXRgdGP0YY= 132698 +5YWo44Gm 132699 +INin2YTZhdis2YTYsw== 132700 +INin2YTYqtin2YTZig== 132701 +INeX16g= 132702 +5ZCR44GR 132703 +15vXnteU 132704 +0LHQtdC0 132705 +2KPYudi2 132706 +2KPYudi22KfYoQ== 132707 +2YjZhNiv 132708 +4Lin4LmI4Liy4LiI4Liw 132709 +IGLDoW5o 132710 +4LiZ4Li04Lii 132711 +4LiZ4Li04Lii4Lih 132712 +4Lib4Lij4Liw4LiB4Lix4LiZ 132713 +0YHRgtCw0LLQuNGC0Yw= 132714 +4Lie4LiZ4Lix4LiZ 132715 +INGN0YTRhA== 132716 +INGN0YTRhNC10LrRgtC40LI= 132717 +INCw0LLRgtC+0YA= 132718 +IMSQxINuZw== 132719 +IHRoxrDhu59uZw== 132720 +44KS5oSf44GY 132721 +4LiB4Lix4Lia4LiB4Liy4Lij 132722 +5b6M44Gr 132723 +IHlhxJ8= 132724 +2LPYqtin2YY= 132725 +IGxp4buBbg== 132726 +44GE44G+ 132727 +acOqdQ== 132728 +4LmC4LiU4LiZ 132729 +INmE2LDZhNmD 132730 +4LmC4Lij4LiH4LmA4Lij4Li14Lii4LiZ 132731 +16bXmdeS 132732 +INin2YTZhdi52YTZiNmF2KfYqg== 132733 +56eB44Gf44Gh 132734 +4LiX4Li14LmI4LiE4Li44LiT 132735 +44Gr44Gq44Gj44Gm44GE44KL 132736 +157Xk9eZ16DXlA== 132737 +16HXm9ed 132738 +INCy0L3QtQ== 132739 +4Lie4LiZ4Lix4LiB4LiH4Liy4LiZ 132740 +0YDQtdC5 132741 +4LmA4LiI4LmJ4Liy4Lir4LiZ4LmJ4Liy4LiX4Li14LmI 132742 +IEhp4buHbg== 132743 +IG3DqWRpY28= 132744 +INiq2K3ZgtmK2YI= 132745 +0YzRgtC1 132746 +bWnFn3Rp 132747 +2YLZitin2K/YqQ== 132748 +44KP44GL44KK 132749 +4Lih4Liy4LiI4Liy4LiB 132750 +64WA 132751 +44Gr6Zai44GZ44KL 132752 +15DXqNeS15XXnw== 132753 +bcOodHJl 132754 +INei16bXnteZ 132755 +IENow7ph 132756 +4Lij4Li54LmJ4LiI 132757 +4Lij4Li54LmJ4LiI4Lix4LiB 132758 +7KOE 132759 +64u1 132760 +4LmB4LiX4LmJ 132761 +IGdlw6dlbg== 132762 +IGxhbsOnYQ== 132763 +INin2YTYqNit2Ks= 132764 +15PXnteV 132765 +44Gv44GY 132766 +44Gv44GY44KB 132767 +IGTDtm7DvMWf 132768 +6L+R44GP 132769 +4LmA4Liq4Lih 132770 +4LmA4Liq4Lih4Lit 132771 +6529 132772 +IMO8w6c= 132773 +4bue 132774 +0YjQsNGP 132775 +4LiX4Lij 132776 +2K3ZgtmK2YLYqQ== 132777 +4LiC4Lit4LiH4LiB4Liy4Lij 132778 +IOustOyXhw== 132779 +INeU15vXqA== 132780 +INin2YTYtdmK2YY= 132781 +INC70Y7QtNC4 132782 +4LiV4Liy4Lii 132783 +2KjZiNmE 132784 +IHZpw6pt 132785 +IHRoaeG7h3U= 132786 +4LiB4LiU 132787 +INec15PXkdeo 132788 +16TXoNeU 132789 +15DXqNeR16I= 132790 +2LPZiQ== 132791 +INin2YTYs9mK2KfYsw== 132792 +INin2YTYs9mK2KfYs9mK2Kk= 132793 +eWTEsQ== 132794 +2YjYrdiv2Kk= 132795 +INC00LXRj9GC0LXQu9GM0L3QvtGB0YLQuA== 132796 +INeV15TXng== 132797 +0L/QtdGH 132798 +0L/QtdGH0LDRgg== 132799 +0LjRgNC+0LLQsNC90LjRjw== 132800 +INGB0L7Qsw== 132801 +INGB0L7Qs9C70LDRgQ== 132802 +INeb15M= 132803 +INeb15PXkNeZ 132804 +INC40YHQv9C+0LvRjNC30L7QstCw0YLRjA== 132805 +16HXpNeV16jXmA== 132806 +IGlsw6dl 132807 +ZXhww6lyaWVuY2U= 132808 +IFRo4budaQ== 132809 +xLBL 132810 +4LmE4Lif4Lif4LmJ4Liy 132811 +65Ok7JeQ6rKM 132812 +4Lib4Lij4Liw4LmA4Lig 132813 +4Lib4Lij4Liw4LmA4Lig4LiX 132814 +IG3DvG1r 132815 +IG3DvG1rw7xu 132816 +INeQ15XXqteg15U= 132817 +7ISx7J2E 132818 +IOydtOycoA== 132819 +2LLZitin2LHYqQ== 132820 +IG9sZHVrw6dh 132821 +csOzYg== 132822 +INij2YbYpw== 132823 +INeU15HXmQ== 132824 +0YHQtdC9 132825 +16LXmden16g= 132826 +15nXk9eV16I= 132827 +ZHrEhQ== 132828 +2YXYudmE2YjZhdin2Ko= 132829 +2LTYp9io 132830 +IHBhcsOnYQ== 132831 +4LiZ4Liw4LiE4Liw 132832 +2KjYp9iz 132833 +INGC0L7RgNCz 132834 +INGC0L7RgNCz0L7Qsg== 132835 +INeX15PXqA== 132836 +15vXqNeY 132837 +15vXqNeY15nXoQ== 132838 +IEF5csSxY2E= 132839 +w6rMow== 132840 +7Jyo 132841 +INGC0LDQutC40LU= 132842 +INee16bXldeZ 132843 +44Op44Oz44Kt44Oz44Kw 132844 +16nXmdeV15XXpw== 132845 +5YmN44Gu 132846 +IELhuqNv 132847 +0YnRgw== 132848 +5pep44GP 132849 +IFBow7JuZw== 132850 +4Lie4Lij4Liw4Lij4Liy4LiK 132851 +16TXl9eV16o= 132852 +INCz0Ls= 132853 +INCz0LvQsNC3 132854 +4LiX4LmI4Liy 132855 +IGThuqF5 132856 +0YDQvtGB0YI= 132857 +4LmC4LiU4Lii4LmA4LiJ4Lie4Liy4Liw 132858 +IHF14bqtbg== 132859 +INeX15HXqNeV16o= 132860 +bcOqbWU= 132861 +bcSxxZ90xLE= 132862 +INin2YTYqtiv2KfZiNmE 132863 +IG7huqFu 132864 +INeU15PXmQ== 132865 +INin2YTYt9ix2YrZgg== 132866 +15LXldeq 132867 +INeU15PXqNea 132868 +dWrEhWNl 132869 +IGNo4buv 132870 +44KC44Gu44Gu 132871 +67Cb 132872 +44GV44KT44Gv 132873 +IHlhcmTEsW0= 132874 +INin2YTYudmF 132875 +IOynhO2WiQ== 132876 +INeZ15c= 132877 +INeZ15fXodeZ 132878 +INin2YTZhdiv2YrZhtip 132879 +IGPDug== 132880 +4LiB4Li14Lis 132881 +4LiB4Li14Lis4Liy 132882 +IG5pw6pu 132883 +bWlzacOzbg== 132884 +16DXmdeh15k= 132885 +16DXmdeh15nXldef 132886 +INCy0L7Qt9GA0LDRgdGC 132887 +INei15XXqdeU 132888 +INmF2K/Zitix 132889 +0Y/RgdGM 132890 +2K3YrNmF 132891 +7ZmY6rK9 132892 +INin2YTYo9iu2LHZiQ== 132893 +dcOfZXI= 132894 +INin2YTYudin2YTZhdmK2Kk= 132895 +IE5n4buNYw== 132896 +6rWQ7ZqM 132897 +5LiK44Gn 132898 +15nXlNeV15M= 132899 +15nXlNeV15PXmded 132900 +2YXYs9in2LnYr9ip 132901 +INC20LjQt9C90Yw= 132902 +INC/0L7RgtC+0LzRgw== 132903 +INin2YTZhdmF2YQ= 132904 +INin2YTZhdmF2YTZg9ip 132905 +IEfDtnI= 132906 +2LHZkA== 132907 +157Xp9eV157Xldeq 132908 +5Ye65p2l44KL 132909 +0YTRgg== 132910 +IOydtOygnA== 132911 +INGA0LXQvA== 132912 +INGA0LXQvNC+0L3Rgg== 132913 +16rXldea 132914 +5pmC44Gv 132915 +44KJ44KM44Gq44GE 132916 +YWx0xLE= 132917 +5a6244Gu 132918 +INin2YTYpdi52YTYp9mF 132919 +66as64qU 132920 +44GL44KJ44Gv 132921 +IEjhuqE= 132922 +44GC44Gu 132923 +15PXmdeV158= 132924 +2LHZitiz 132925 +IHNvY2lldMOg 132926 +INin2YTZg9io2YrYsQ== 132927 +INeR157XoQ== 132928 +INeR157XodeS16g= 132929 +INeR157XodeS16jXqg== 132930 +IOyeiOycvOupsA== 132931 +IG7hurduZw== 132932 +2YfZiQ== 132933 +IELDoA== 132934 +157XqNeV 132935 +IGrEmQ== 132936 +IGrEmXp5 132937 +IGrEmXp5aw== 132938 +INeb157XldeR158= 132939 +16LXnNeU 132940 +4LiX4Li14LmI4LmE4LiU4LmJ 132941 +44G+44GX44KH44GG 132942 +157Xodek16g= 132943 +0KLQng== 132944 +2LPZitin2LPYqQ== 132945 +INC60LDQttC00YvQuQ== 132946 +67Kg 132947 +dMSxbQ== 132948 +eeG7h24= 132949 +4Lij4Li14LmI 132950 +INC00LXRgtGB0Lo= 132951 +4Lin4Li04LiY4Li14LiB4Liy4Lij 132952 +bcOzd2k= 132953 +15jXoted 132954 +15TXptec15fXlA== 132955 +2LbZitmB 132956 +INGF0L7RgtGP 132957 +44KT44Gn44GE44KL 132958 +4LiE4Liy4LiU 132959 +4LiE4Lij4Lia 132960 +INC60YPRgNGB 132961 +IGJhxZ9hcsSx 132962 +15HXqNeV 132963 +2YrYudip 132964 +INCd0YM= 132965 +4LiE4Lin4Liy4Lih4LmA4Lib4LmH4LiZ 132966 +INec157Xqdec 132967 +IOyii+ydgA== 132968 +2YXYpNiz2LM= 132969 +2YXYpNiz2LPYp9iq 132970 +IHByw6ljaXM= 132971 +IHRo4bqjbw== 132972 +4LiB4LmH4LiE4Li34Lit 132973 +INep15vXnA== 132974 +ZsO8aHJ1bmc= 132975 +44GE44Gn 132976 +4LmB4Lil4Liw4Lih4Li1 132977 +4LiB4LmH4Lih4Li1 132978 +INep16k= 132979 +0LzQtdC7 132980 +INC60L3QuNCz 132981 +INio2KfZhNmG 132982 +INio2KfZhNmG2LPYqNip 132983 +IGFsZMSx 132984 +0YLQsNC5 132985 +INeX15PXqdeZ150= 132986 +5a6f44Gv 132987 +2LnZiNin 132988 +IOydmOuvuA== 132989 +0LjQt9C8 132990 +0YDQsNCx0L7RgtCw0YLRjA== 132991 +2YHYtQ== 132992 +INeR16DXldeh16M= 132993 +44Go44GX44Gm44KC 132994 +4LmA4Lib4LmH4LiZ4LiX4Li14LmI 132995 +INGB0LvQtdC00YPQtdGC 132996 +6ICD44GI44Gm 132997 +INeb15nXlded 132998 +0YHRgtGL 132999 +15vXnNeb15zXmQ== 133000 +5rWB44KM 133001 +44KS44Gk44GR 133002 +0YfQsNGC 133003 +15nXm9eV158= 133004 +15nXqNeZ 133005 +bGFyxLF5bGE= 133006 +44Kk44Oh 133007 +44Kk44Oh44O844K4 133008 +16DXlten 133009 +IGNpw7I= 133010 +IHPEsW4= 133011 +IHPEsW7EsXI= 133012 +4LiZ4LiE4Lij 133013 +0LrQsNGC 133014 +IGzhu5dp 133015 +656M 133016 +2KrZgdin2LU= 133017 +2KrZgdin2LXZitmE 133018 +64aT 133019 +INmF2LY= 133020 +aWxtacWf 133021 +2KjYp9ix2YM= 133022 +0J3QmA== 133023 +IHRo4bqpbQ== 133024 +INeQ15XXqtea 133025 +INC/0YDQuNC90LjQvA== 133026 +INC/0YDQuNC90LjQvNCw 133027 +IHnDtm50 133028 +IHnDtm50ZW0= 133029 +INee16fXkdec 133030 +IGt0w7NyZWdv 133031 +6reA 133032 +2LTYsdmB 133033 +2K/Yp9mF 133034 +44GE44KN44GE44KN 133035 +IEFsw6lt 133036 +IGfDtnLDvA== 133037 +IGfDtnLDvG50 133038 +IGfDtnLDvG50w7w= 133039 +2K/Ysw== 133040 +0YjQutC4 133041 +0LPRgNCw0LQ= 133042 +IGzhuqFj 133043 +IHPhu69h 133044 +44KJ44KM44G+44GZ 133045 +b8OgaQ== 133046 +0YnQtdC9 133047 +44GL44Gq44GE 133048 +INC/0L7Qvw== 133049 +INC/0L7Qv9GD 133050 +INC/0L7Qv9GD0LvRj9GA 133051 +INin2YTZhdmI2YLYuQ== 133052 +csOkZw== 133053 +77yh 133054 +7ZWE 133055 +44KS6KaL44KL 133056 +2KfZhdin 133057 +INin2YTYrdix2Kg= 133058 +INCf0LA= 133059 +INec15DXqteo 133060 +IHThu5Fj 133061 +15HXnNeU 133062 +2LHYptmK2LM= 133063 +0LLRgw== 133064 +2YrYr9mK 133065 +0LrQsNC30LDQvQ== 133066 +INeX16nXkdeV158= 133067 +aMO0dGVs 133068 +16LXldeg15Q= 133069 +2KjZhtmK 133070 +157Xldec 133071 +INC00L3Rjw== 133072 +6Zuj44GX44GE 133073 +0LLQtdC00LXQvdC40Y8= 133074 +INeV157Xqg== 133075 +0L3QsNC/0YDQuNC80LXRgA== 133076 +2YLYp9io2YQ= 133077 +IHLDqXN1bHRhdA== 133078 +INGA0LDQt9Cy0LjRgtC40Y8= 133079 +2LHZkQ== 133080 +7KCE66y4 133081 +INin2YTZhdiy2YrYrw== 133082 +IOychO2VtOyEnA== 133083 +64aN 133084 +7ZmV 133085 +IFRoaeG6v3Q= 133086 +7Yyo 133087 +bWFsxLFkxLFy 133088 +IGN6xYI= 133089 +IGN6xYJvd2ll 133090 +IGN6xYJvd2llaw== 133091 +INmE2KjZhg== 133092 +INmE2KjZhtin2YY= 133093 +w7xzw7w= 133094 +44Gq44KT44Gg 133095 +IMW8eWNpZQ== 133096 +INGF0L7RgNC+0YjQvg== 133097 +5pa544Gr 133098 +64uk66m0 133099 +0LjRh9C10YHQutCw0Y8= 133100 +16LXqNeZ15s= 133101 +16LXqNeZ15vXqg== 133102 +44G+44Gb44KT44Gn44GX44Gf 133103 +INGB0L7QsdC+0Lk= 133104 +IGfhu5c= 133105 +INC00LXQu9Cw0YLRjA== 133106 +ZGHEhw== 133107 +0LDRgNCw 133108 +csOzxbxuaQ== 133109 +4LmA4Lil4Li14LmJ 133110 +4LmA4Lil4Li14LmJ4Lii 133111 +4LmA4Lil4Li14LmJ4Lii4LiH 133112 +4Lid4Liy4LiB 133113 +INiq2YI= 133114 +INiq2YLYr9mK 133115 +INiq2YLYr9mK2YU= 133116 +4Lir4LiZ4Li44LmI4Lih 133117 +IG3DvGNhZGU= 133118 +IG3DvGNhZGVsZQ== 133119 +7KeA66W8 133120 +44Kk44K5 133121 +INij2LPYp9iz 133122 +asSFY2Vnbw== 133123 +IMWfZWg= 133124 +0L3RgtC10YA= 133125 +0YbQuNGO 133126 +77u7 133127 +0Y7RidC10LPQvg== 133128 +4LmC4Lib4Lij4LmB 133129 +4LmC4Lib4Lij4LmB4LiB4Lij4Lih 133130 +IG1pZcSH 133131 +2K3Zg9mI2YXYqQ== 133132 +44Gn44GX44Gf44GM 133133 +15nXodeU 133134 +44KC44Gu44KS 133135 +INee15DXqg== 133136 +4Liq4Li44LiU4LiX4LmJ4Liy4Lii 133137 +IGPFqQ== 133138 +2YbYs9io 133139 +INC/0YDQvtGH 133140 +INC00L3QtdC5 133141 +INGN0YLQuNGF 133142 +15zXnteq 133143 +0L3Rj9GP 133144 +0Y3Qug== 133145 +IOyngOuCnA== 133146 +4Lih4Lir4Liy4Lin4Li04LiX4Lii4Liy 133147 +4Lih4Lir4Liy4Lin4Li04LiX4Lii4Liy4Lil 133148 +4Lih4Lir4Liy4Lin4Li04LiX4Lii4Liy4Lil4Lix4Lii 133149 +ZMOjbw== 133150 +IE3DoXk= 133151 +IOq1reqwgA== 133152 +4Lia4Li44Lij4Li1 133153 +15LXmdec 133154 +INGC0YvRgdGP 133155 +INGC0YvRgdGP0Yc= 133156 +2YHZgw== 133157 +INCY0YE= 133158 +6KGM44KP44KM 133159 +16TXqNeT 133160 +44Gk44GN 133161 +4LiE4Lij4Lit4Lia 133162 +4LiE4Lij4Lit4Lia4LiE4Lij4Lix4Lin 133163 +4LiC4Li24LmJ4LiZ4Lih4Liy 133164 +5LuK5pel44Gv 133165 +IOyCrOuejOydtA== 133166 +16LXptee15Q= 133167 +0L/QvtGA 133168 +IEvhu7M= 133169 +IMahbg== 133170 +IHRoxINt 133171 +2YHYp9mC 133172 +44Ga44Gr 133173 +INec16fXqA== 133174 +INec16fXqNeV15A= 133175 +2KfZgdmK2Kk= 133176 +2YXZjtin 133177 +0LPQsNGA 133178 +2LXZhNin 133179 +2LXZhNin2Kk= 133180 +INee15bXlA== 133181 +bMSxxJ/EsW7EsQ== 133182 +INeQ15nXoNeU 133183 +0LrRgNC+ 133184 +IG5nxrDGoWk= 133185 +INCy0L3QuNC8 133186 +INCy0L3QuNC80LDQvdC40LU= 133187 +asSFY3k= 133188 +2YDZgNmA2YDZgA== 133189 +0YHRhdC+0LQ= 133190 +44Gq44KT44GL 133191 +157Xmdec 133192 +INeU15DXlw== 133193 +44KP44Gq44GE 133194 +2LnYs9mD2LE= 133195 +IOyEuOqzhA== 133196 +INGH0LXQs9C+ 133197 +INGB0YDQtdC00YHRgtCy0LA= 133198 +INCg0LDRgQ== 133199 +44Gq44GB 133200 +2YbZgdiz 133201 +16jXmdeV158= 133202 +0YHRg9C0 133203 +IOyduOqwhA== 133204 +INin2YTZhdmC2KjZhA== 133205 +2YbYudmF 133206 +2KrZiNmB2LE= 133207 +16nXkdei 133208 +xLFsbQ== 133209 +xLFsbcSxxZ8= 133210 +INec16rXqg== 133211 +2KrYtdmB 133212 +15TXpNeV15o= 133213 +4LmD4LiZ4Lib4Li1 133214 +7J206rOg 133215 +2YHZiNiy 133216 +4Lic4Lil4LiH4Liy4LiZ 133217 +IEdpw6Fv 133218 +4Lia4Lit4LiB4Lin4LmI4Liy 133219 +IGTEscWf 133220 +IGTEscWfxLFuZGE= 133221 +7KO9 133222 +IGR6aWXFhA== 133223 +0LrRhtC40Lg= 133224 +0LjRhtC1 133225 +44Gu5LiA 133226 +2LnYtA== 133227 +0L/RgNC10YHRgQ== 133228 +4Lir4LiZ4LmI4Lit4Lii 133229 +4Lil4Lix4LiB4Lip4LiT4Liw 133230 +IHBvc3NpYmlsaXTDoA== 133231 +4LmE4LiU4LmJ4Lij4Lix4Lia4LiB4Liy4Lij 133232 +4Lir4Lii4Li44LiU 133233 +IHBoacOqbg== 133234 +55Sf44G+44KM 133235 +2LfZiNmE 133236 +0YTQuNC9 133237 +ZsO8cg== 133238 +2K3Zitin2Kk= 133239 +7ZaI7Iq164uI64uk 133240 +15vXoNeV16o= 133241 +4Lib4Lij4Liw4Liq 133242 +4Lib4Lij4Liw4Liq4Lia 133243 +4Lib4Lij4Liw4Liq4Lia4LiB4Liy4Lij4LiT4LmM 133244 +65CY7JeI 133245 +IGthxbxkeQ== 133246 +IGx1eeG7h24= 133247 +INC+0YDQs9Cw0L3QuNC30LDRhtC40Lg= 133248 +5bCR44Gq44GP 133249 +0YHRgtGA0L7QtdC9 133250 +IHTDqWNuaWNv 133251 +16fXlNec 133252 +INeV15DXlw== 133253 +INi52YTZitmD 133254 +0YnQtdC90LjQtQ== 133255 +INeU15nXnNeT15nXnQ== 133256 +2YjYs9in2KbZhA== 133257 +INeV15TXqg== 133258 +2KrZhdmK2LI= 133259 +INGB0LrQsNC30LDQuw== 133260 +INC/0L7Qu9C4 133261 +INeU157XoQ== 133262 +2YTZkdmO 133263 +2YXYpNiz2LPYqQ== 133264 +INee15nXkw== 133265 +44Gj44Gh 133266 +IOuEiOustA== 133267 +4Lie4Li1 133268 +IHThurduZw== 133269 +IHThuqVu 133270 +16jXqded 133271 +IG3DqWRpY2E= 133272 +INei15XXng== 133273 +INei15XXnteT 133274 +0YTQvtGA 133275 +2YXYsdip 133276 +IHZhdGFuZGE= 133277 +IHZhdGFuZGHFnw== 133278 +INC00LXQu9C+ 133279 +4LiZ4Lih 133280 +44Go5ZCM44GY 133281 +2YHZiQ== 133282 +0YHQvtGA 133283 +INeU16HXqNeY 133284 +IMOpcG9jYQ== 133285 +7KCV7LGF 133286 +INGB0LLRj9C30LDQvQ== 133287 +2LbYsdio 133288 +INmE2YbYpw== 133289 +IHXFvHl3YQ== 133290 +INin2YTYrNmK2LQ= 133291 +0Y7RgA== 133292 +15HXodeV16M= 133293 +INC80YM= 133294 +INC80YPQt9GL0Lo= 133295 +YmlsaXTDqQ== 133296 +IG1hw6c= 133297 +2LPZjg== 133298 +2KrZhNmD 133299 +44Gs 133300 +2YrZhNin 133301 +0YjQu9Cw 133302 +2YDZgNmA 133303 +INC+0LTQvdC+0Lk= 133304 +0LfQstCw0L0= 133305 +INGB0YDQsNC3 133306 +INGB0YDQsNC30YM= 133307 +2YbYuNmF 133308 +2LHYp9mH 133309 +INmE2YfYsNin 133310 +15vXldeo 133311 +INeU16nXkdeV16I= 133312 +INeU16nXqg== 133313 +IFF14bqjbmc= 133314 +44Or44O8 133315 +44GI44Gq44GE 133316 +15jXkA== 133317 +IG1p4buBbg== 133318 +IFBo4bqtdA== 133319 +INin2YTYs9mI2YI= 133320 +xII= 133321 +INin2YTYrNmF2Lk= 133322 +INin2YTYrNmF2LnYqQ== 133323 +0Y7RidC10Lk= 133324 +YcWCZW0= 133325 +2LnYqtmC2K8= 133326 +2KPZhNmF 133327 +0YHQutC1 133328 +IOydtO2VtA== 133329 +2YbYs9iu 133330 +6KiA44GE 133331 +0LTQvtCx0LDQsg== 133332 +2LPYqNmC 133333 +16LXldeo16g= 133334 +0YLQuNC/ 133335 +44Gd44GT44Gn 133336 +dmlzacOzbg== 133337 +2LnZiNiv2Kk= 133338 +66i5 133339 +157Xlteo15c= 133340 +INil2K0= 133341 +INec15HXmdef 133342 +INec16bXkNeq 133343 +IHlhcmTEsQ== 133344 +IHlhcmTEsW1j 133345 +IHlhcmTEsW1jxLE= 133346 +xLBa 133347 +16fXpNeU 133348 +dHLDqQ== 133349 +bGnEn2luaQ== 133350 +0LrQu9GO0YfQsA== 133351 +IMO8cmV0aW0= 133352 +IGF5csSx 133353 +IGtpxZ9pbGVy 133354 +4LiE4LmJ4LiZ 133355 +4LiE4LmJ4LiZ4Lir4Liy 133356 +IFPhu7E= 133357 +INeb16E= 133358 +INeb16HXow== 133359 +INGC0LDQutC40YU= 133360 +IFh1w6Ju 133361 +INC70LXQsw== 133362 +INC70LXQs9C60L4= 133363 +2KvZgtin2YHYqQ== 133364 +0J3Qng== 133365 +44K544K/44OD 133366 +44K544K/44OD44OV 133367 +5ZCI44GE 133368 +INeU16nXmdee15XXqQ== 133369 +bWFuxLF6 133370 +INCS0LDRgQ== 133371 +Z8O8bg== 133372 +7JyE7JuQ7ZqM 133373 +IHdzcMOzbG4= 133374 +INGB0LLQvtC1 133375 +7YOB 133376 +4LmA4LiZ4Li14Lii 133377 +2YjYqNip 133378 +0LLRj9C3 133379 +xLFkxLFy 133380 +65CY7JeI64uk 133381 +IGRlxJ9pxZ90aXI= 133382 +44KL44GT44Go44GM 133383 +INeX15PXqdeU 133384 +44KJ44KM44Gm44GE44KL 133385 +15fXmdeZ15E= 133386 +INCa0LDRgA== 133387 +16DXmdeq15XXlw== 133388 +INen15jXnw== 133389 +16jXlg== 133390 +2YjYug== 133391 +6Kqt44G/ 133392 +INiq2YLZiNmF 133393 +INmD2KfZhA== 133394 +4Lid4Li24LiB 133395 +IOuwnOyDnQ== 133396 +b2zDs2dpY28= 133397 +2LHYp9i5 133398 +4LmB4LiB4LmJ4LmE4LiC 133399 +INGA0LDQsdC+0YLRgw== 133400 +2YbZkdmO 133401 +4Lit4Lii4Li54LmI4LiX4Li14LmI 133402 +INin2YTYq9in2YbZitip 133403 +IE5ow6Ju 133404 +0YXQstCw0YI= 133405 +w7ZuZQ== 133406 +INi52K/YqQ== 133407 +4LmB4Liq4LiH 133408 +0YLQvtC/ 133409 +0L/Rg9GB0LrQsA== 133410 +2LTYsdin2KE= 133411 +INCa0L7QvA== 133412 +INek16LXldec15Q= 133413 +7IKs7J20 133414 +7IKs7J207Yq4 133415 +6KGM44Gj44Gm 133416 +INeU15TXqg== 133417 +INGB0YLQvtGA0L4= 133418 +INGB0YLQvtGA0L7QvdGL 133419 +2K/Ysdiz 133420 +4LiL4Li5 133421 +4LiV4LmI4Liz 133422 +INij2KjZig== 133423 +0L/QvtC00L7QsQ== 133424 +44Gr44Gm 133425 +2KfYsdiq2YHYp9i5 133426 +INmF2KQ= 133427 +0LjQutC+0LI= 133428 +Z2Vmw7xocnQ= 133429 +4Lih4Li34Lit4LiW4Li34Lit 133430 +INmE2YLYrw== 133431 +INij2YbZkQ== 133432 +2LPZiti32LE= 133433 +44G+44Ga44Gv 133434 +16HXkw== 133435 +0YHQutC+0LvRjNC60L4= 133436 +44G/44Gf44GE44Gq 133437 +15PXqNeS 133438 +16LXmdeT 133439 +4LmD4Lir4LmJ4Lia4Lij4Li04LiB4Liy4Lij 133440 +INCU0Lg= 133441 +15HXoteZ15XXqg== 133442 +INeU15fXlQ== 133443 +0L/QuNGB0Yw= 133444 +INin2YTYrtmE 133445 +0LHQsNCy 133446 +IMSwbGs= 133447 +INin2YTYrtmF 133448 +INin2YTYrtmF2YrYsw== 133449 +INmK2YLZiNmF 133450 +5pmC44Gu 133451 +IHPFgm93 133452 +INij2YfZhQ== 133453 +2K7ZhNmC 133454 +INij2LXYqNit 133455 +IGNo4bupYQ== 133456 +IHRow6Fj 133457 +2YHYp9mE 133458 +IGNo4bud 133459 +INin2YTYrtin2LE= 133460 +INin2YTYrtin2LHYrA== 133461 +INin2YTYrtin2LHYrNmK2Kk= 133462 +2LfYp9im2LE= 133463 +IHTDoA== 133464 +IHTDoHU= 133465 +4LiB4Lil4LmJ4Lit4LiH 133466 +INin2YTZhdix2KM= 133467 +INin2YTZhdix2KPYqQ== 133468 +5YWo44GP 133469 +IMOWbg== 133470 +55qE44Gr44Gv 133471 +IHBpw6hjZQ== 133472 +15LXmdeR 133473 +INin2YTZiNin2YLYuQ== 133474 +5LuK44Gu 133475 +INin2YTZhdmC 133476 +Y3puxIU= 133477 +2YHYudin2YQ= 133478 +0LXQvdC90L7Qs9C+ 133479 +INGE0LDQutGC 133480 +7Iug7LKt 133481 +INCe0L3QuA== 133482 +INin2YTYqNmE2KfYrw== 133483 +0L7QstC40Yc= 133484 +64+M 133485 +0YTRg9C90LrRhtC4 133486 +IOyWtOuKkA== 133487 +44OV44Kp44O8 133488 +ZMOt 133489 +0LjQu9C+0YHRjA== 133490 +2YXZiQ== 133491 +INin2YTYo9mF2LHZitmD 133492 +INin2YTYo9mF2LHZitmD2YrYqQ== 133493 +15jXmdek15XXnA== 133494 +7ZSE66Gc6re4 133495 +7ZSE66Gc6re4656o 133496 +INep15XXoNeV16o= 133497 +2LTZhdmE 133498 +INC/0LDRgNCw 133499 +INeU15fXlden 133500 +2YjYstin2LHYqQ== 133501 +44Go44GZ44KL 133502 +IHF14bqjbmc= 133503 +IGHEn8Sxcg== 133504 +INin2YTZhNis 133505 +INin2YTZhNis2YbYqQ== 133506 +6ri0 133507 +IFTDom4= 133508 +2KzZhdmE 133509 +0LTQvtC7 133510 +4LmB4Lie4LiX4Lii 133511 +4LmB4Lie4LiX4Lii4LmM 133512 +INeo15DXqdeZ 133513 +0YnQtdC5 133514 +IMOnZXZyZQ== 133515 +INC60L7QvNC/0LvQtdC60YE= 133516 +INeR157Xqdea 133517 +IGFsdMSxbg== 133518 +INij2LnZhdin2YQ= 133519 +INGB0LLQvtC10LPQvg== 133520 +44KI44GE 133521 +15fXnNeZ15g= 133522 +157XoNei 133523 +INeo15HXlA== 133524 +INij2YrYttin2Ys= 133525 +15bXnA== 133526 +INin2YTYs9mK2KfYs9mK 133527 +5oCd44GG 133528 +16fXqNen 133529 +16fXqNen16I= 133530 +INin2YTZgdix2YrZgg== 133531 +0LHQuNGC 133532 +16fXoNeU 133533 +INil2YbZhw== 133534 +INCS0LDQvA== 133535 +0KDQng== 133536 +44OI44Oq 133537 +5b+F6KaB44Gq 133538 +IGNow6J1 133539 +57aa44GR 133540 +IMOnw7Z6w7xt 133541 +Z8WCb3c= 133542 +2LnZgtmE 133543 +5aOy44KL 133544 +aeG6v3Q= 133545 +4LiK4Li04LmJ4LiZ 133546 +INit2YLZiNmC 133547 +2LfZhNi5 133548 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133733 +15DXldeU 133734 +15DXldeU15E= 133735 +0LjRhtGL 133736 +INeU16jXm9eR 133737 +656R 133738 +INeq16I= 133739 +INeU15nXqQ== 133740 +INeU15nXqdeo15A= 133741 +INeU15nXqdeo15DXnNeZ 133742 +2KPZhdmG 133743 +0Y7RidCw0Y8= 133744 +c2vDs3I= 133745 +TEVSxLA= 133746 +INeU15DXl9eo15XXnw== 133747 +16LXoNen 133748 +INmI2YPZhA== 133749 +44GT44GT44Gn 133750 +IHF1w6Fu 133751 +bGnEn2lu 133752 +4LiB4LiO4Lir4Lih4Liy4Lii 133753 +2LfZhQ== 133754 +2KPYrNmH 133755 +2KPYrNmH2LLYqQ== 133756 +IEVyZG/En2Fu 133757 +44Gn44GK 133758 +INCy0YDQsA== 133759 +INCy0YDQsNGH 133760 +IFBow7M= 133761 +4LiK4Lix4LmI4Lin 133762 +4LiK4Lix4LmI4Lin4LmC4Lih 133763 +4LiK4Lix4LmI4Lin4LmC4Lih4LiH 133764 +IHBow7pj 133765 +15nXpNeV16o= 133766 +16LXmdeV158= 133767 +IGR1xbxv 133768 +44OB44O844Og 133769 +INmK2Y4= 133770 +INC30LDQtNCw0Yc= 133771 +INeS15HXldeU15Q= 133772 +INeb15vXnA== 133773 +0LvQvtC20LXQvQ== 133774 +w6l0YXQ= 133775 +IG5nxINu 133776 +6LW344GN 133777 +IFRp4bq/bg== 133778 +2LXYudio 133779 +IGV4cGVyacOqbmNpYQ== 133780 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134007 +2LnYtQ== 134008 +INC90LjRhw== 134009 +INC90LjRh9C10LPQvg== 134010 +INC/0YDQuNC10Lw= 134011 +16fXldee 134012 +IOyImOuPhA== 134013 +IOyhtA== 134014 +IOyhtOyerA== 134015 +INij2KvZhg== 134016 +INij2KvZhtin2KE= 134017 +INmI2KfZhNit 134018 +44GM44Gn44GN44KL 134019 +INeq15Q= 134020 +INeq15TXmdeU 134021 +16jXnw== 134022 +INGB0LLRj9C30Lg= 134023 +15LXqdeq 134024 +0YHQv9C10LrRgg== 134025 +16HXkdeZ15E= 134026 +16HXkdeZ15HXlA== 134027 +IO2VhOyalO2VnA== 134028 +2KrYrti12LU= 134029 +INC20LjQsg== 134030 +INC20LjQstC+0YI= 134031 +IE1hecSxcw== 134032 +2KrYudin 134033 +2KrYudin2YjZhg== 134034 +INi52YbZh9in 134035 +w7N3a2k= 134036 +INin2YTZgdmE2LPYt9mK2YbZig== 134037 +44Gg44GR44Gn44Gq44GP 134038 +7J247KeA 134039 +INin2YTYs9mI2K8= 134040 +INin2YTYs9mI2K/Yp9mG 134041 +2KXYrNix2KfYodin2Ko= 134042 +IGvDtnTDvA== 134043 +INeZ16rXqA== 134044 +15LXmdep15Q= 134045 +INem15XXqNea 134046 +4Lij4LiW4Lii 134047 +4Lij4LiW4Lii4LiZ4LiV4LmM 134048 +0YXQvtGC 134049 +0KDQkA== 134050 +2YjYt9mG 134051 +IHNhecSxc8Sx 134052 +16HXl9eo 134053 +2YXZiNmE 134054 +44KS5oyB44Gj44Gm 134055 +2LnYp9mG 134056 +IHThu5lp 134057 +INCy0YvRiNC1 134058 +IHThuqdt 134059 +44OI44Os 134060 +15nXpteV 134061 +4Lih4Li44Lih 134062 +2LPZiNiv 134063 +7KCE7J6Q 134064 +44K144Ot44Oz 134065 +7IKw7JeF 134066 +INC+0YHQvdC+0LLQsNC9 134067 +2K7Zgdi2 134068 +16jXpteU 134069 +2KjZiti2 134070 +15XWuQ== 134071 +16HXmdeZ16I= 134072 +INep15DXmQ== 134073 +INin2YTZgtix2KLZhg== 134074 +INCi0LDQutC20LU= 134075 +157Xqdee16LXldeq 134076 +2LPZh9mE 134077 +INeU16DXlA== 134078 +44KS44GX44Gm44GE44KL 134079 +15nXmdeh 134080 +15TXldeQ 134081 +IELDrQ== 134082 +INC80LDQu9C+ 134083 +IOuUsOudvOyEnA== 134084 +INeo15fXkQ== 134085 +44GM6auY44GE 134086 +2YjYp9iz 134087 +7IK8 134088 +16DXog== 134089 +44Gj44Gh44KD 134090 +IFTDvG0= 134091 +4Lit4Li14LiB4LiU4LmJ4Lin4Lii 134092 +44GX44Gm44GP44Gg44GV44GE 134093 +2YbYtNin2Lc= 134094 +44OX44Op44Oz 134095 +0LDQu9C40YHRjA== 134096 +15PXnNeq 134097 +IHdjemXFmw== 134098 +IHdjemXFm25pZWo= 134099 +INGN0YLQuNC8 134100 +IHRo4buLdA== 134101 +4Lia4Lix4LiN 134102 +4Lia4Lix4LiN4LiK4Li1 134103 +44Ga44Gj44Go 134104 +0YDQuNC9 134105 +IHN3b2rEhQ== 134106 +7ZWY64qU642w 134107 +IOunjOuTpOyWtA== 134108 +2KrYtNmD 134109 +2KrYtNmD2YrZhA== 134110 +2KfYptmH 134111 +INec16TXl9eV16o= 134112 +44OL44Ol 134113 +44OL44Ol44O844K5 134114 +15vXkNef 134115 +44Gn44GN44Gf 134116 +0LfQstC+0L0= 134117 +IHN0YcWC 134118 +15fXkdeo16rXmQ== 134119 +INij2LnZhNmG 134120 +4LmB4Lia4Lia4LiZ4Li14LmJ 134121 +2KjYr9ih 134122 +44KB44Gf 134123 +INee16nXntei15XXqg== 134124 +INee16nXntei15XXqteZ 134125 +w7Zyw7w= 134126 +IGjhuqFuaA== 134127 +esOkaGw= 134128 +IEzDvQ== 134129 +INeR15TXqg== 134130 +INeR15TXqteQ150= 134131 +0LHQsNGA 134132 +7KaI 134133 +5LuK5Zue44Gu 134134 +IHnDvA== 134135 +IHnDvGtz 134136 +IHnDvGtzZWw= 134137 +44K944O8 134138 +44GC44KM 134139 +16rXnNee15nXkw== 134140 +44Gk44Gq 134141 +15HXoNeZ150= 134142 +IHjhur9w 134143 +INC80YPQttGH0LjQvQ== 134144 +INin2YTZg9iq2KfYqA== 134145 +15vXnteV16o= 134146 +IMOnZQ== 134147 +IMOnZcWf 134148 +IMOnZcWfaXQ= 134149 +IMOnZcWfaXRsaQ== 134150 +15PXmdeo15XXqg== 134151 +4Lia4Li44LiN 134152 +INin2YTYpdmE2YM= 134153 +INin2YTYpdmE2YPYqtix2Yg= 134154 +INin2YTYpdmE2YPYqtix2YjZhtmK 134155 +INio2KfZhNil2LY= 134156 +INio2KfZhNil2LbYp9mB2Kk= 134157 +IHnDtm5lbA== 134158 +IHnDtm5lbGlr 134159 +bXlzxYI= 134160 +4LiU4LmJ4Lin4Lii4LiB4Liy4Lij 134161 +4LiB4Liy4Lij4LiX4Liz 134162 +0L7QstGL0Lw= 134163 +2KPYstmF2Kk= 134164 +5o6i44GX 134165 +7Zqo 134166 +INeV15DXnQ== 134167 +IG5naGnDqm0= 134168 +0YjQuNC9 134169 +0LrQsNC7 134170 +IGNyaWFuw6dhcw== 134171 +6Ieq5YiG44Gn 134172 +INC90LDQuQ== 134173 +INC90LDQudGC0Lg= 134174 +IFPhu5E= 134175 +IMO2xJ9yZW5jaWxlcg== 134176 +44O25pyI 134177 +0YHQsNC9 134178 +IErDoQ== 134179 +IGtvbnXFn21h 134180 +2LTYsdi3 134181 +64iI 134182 +YXJyacOocmU= 134183 +2LbYsdmI2LHYqQ== 134184 +44OU44Oz 134185 +16LXqdeo 134186 +0LDRgNGM 134187 +2KzZhdin2Lk= 134188 +IGTDqWNv 134189 +INeZ15TXldeT15k= 134190 +4Lie4Lil4Liy4LiU 134191 +INmK2YPZhg== 134192 +INis2KfZhdi52Kk= 134193 +2LfYqNmC 134194 +IGJvxZ8= 134195 +15XXldeQ 134196 +157Xk9ei 134197 +16fXkdeV16bXqg== 134198 +16TXmdeo 134199 +asSFY3lt 134200 +2YXYtNin 134201 +2YXYtNin2YPZhA== 134202 +16bXpNeV158= 134203 +2KXYs9iq 134204 +157Xm9eo 134205 +2LPZhdi5 134206 +INC60LDQutC+0Lk= 134207 +0YLQstC+0YA= 134208 +2K3YrA== 134209 +2YHYsdi2 134210 +0L/RgNCw0LLQu9C10L0= 134211 +INC90LjQutCw0Lo= 134212 +IG1p4buH 134213 +IG1p4buHbmc= 134214 +w7zDnw== 134215 +0LjRgNC+0LLQsNC7 134216 +15zXnteV16o= 134217 +5qyh44Gu 134218 +2YTYtw== 134219 +4LiV4Lix4LiZ 134220 +15TXqteX15nXnA== 134221 +IGZvdG/Enw== 134222 +IGZvdG/En3JhZg== 134223 +2LfYsdit 134224 +4Lit4Lit4LiB4LmE4Lib 134225 +IHnDqm4= 134226 +INC/0L7Qug== 134227 +INC/0L7QutGD0L8= 134228 +INC/0L7QutGD0L/QsA== 134229 +0YbRgw== 134230 +INC60L7QvNC/0YzRjg== 134231 +INC60L7QvNC/0YzRjtGC0LXRgA== 134232 +INin2YTZg9ix2YrZhQ== 134233 +2KrYtdmF 134234 +2KrYtdmF2YrZhQ== 134235 +INC+0LrQsNC30LA= 134236 +IHphcsOzd24= 134237 +IHphcsOzd25v 134238 +64yA7Lac 134239 +44K744Oz44K/44O8 134240 +IGpha2/Fm2Np 134241 +5oKp 134242 +5oKp44G/ 134243 +2KPZhtmI 134244 +2KPZhtmI2KfYuQ== 134245 +67mg 134246 +IOygleunkA== 134247 +IGvhurs= 134248 +INGB0LDQudGC0LA= 134249 +INeU16LXqNeR 134250 +2YfYsg== 134251 +cHJlc2nDs24= 134252 +INGB0YLQtdC9 134253 +44Gj44Gm44KL 134254 +IGjEsXpsxLE= 134255 +0JrQkA== 134256 +157Xqdek15fXqg== 134257 +INmG2YfYpw== 134258 +INmG2YfYp9mK2Kk= 134259 +44G+44GE 134260 +0L7RhdGA0LDQvQ== 134261 +4Lij4LmJ4Lit4Lii 134262 +4Lil4Li24LiB 134263 +INmI2KjYp9mE 134264 +44KC44Gu44GM 134265 +16jXm9eZ15E= 134266 +44Kk44Ok 134267 +2LPYpA== 134268 +2LPYpNin2YQ= 134269 +INmE2KPZhtmH 134270 +IGtvbnXFn3R1 134271 +0JrRg9C/0LjRgtGM 134272 +INep15DXqteU 134273 +INmI2KfZhNiz 134274 +IG1vxbxsaXdvxZtjaQ== 134275 +IHByw7Ni 134276 +65Sw 134277 +44Gp44KM 134278 +INCc0LjQvQ== 134279 +INC+0YDQs9Cw0L3QuNC30Lw= 134280 +44Gr5a++44GZ44KL 134281 +IFByw6k= 134282 +IHByaXbDqQ== 134283 +Y2jDqA== 134284 +44GE44Gf44Gg44GN 134285 +4Liq4LiZ4Li44LiB 134286 +YWrEhWNl 134287 +IER6aQ== 134288 +IER6acSZa2k= 134289 +xYJhdHc= 134290 +csOkbg== 134291 +csOkbms= 134292 +5p2l44Gf 134293 +INeU15nXlNeV15PXmQ== 134294 +44Ks44O8 134295 +INGA0LDQtA== 134296 +INGA0LDQtNC4 134297 +0LrRgtC40LI= 134298 +2KPZh9iv 134299 +2KPZh9iv2KfZgQ== 134300 +16nXkNeZ16g= 134301 +44Gm44GE44Gq44GE 134302 +IGZyw7xo 134303 +INC+0LrQvtC7 134304 +INC+0LrQvtC70L4= 134305 +IHJlZ2nDo28= 134306 +INGH0LjRgdC70LU= 134307 +IHBvbmlldw== 134308 +IHBvbmlld2HFvA== 134309 +7IS87YSw 134310 +IGLhuqd1 134311 +IOq3 134312 +IOq3nA== 134313 +IOq3nOyglQ== 134314 +IEjDsmE= 134315 +INGC0L7Rgg== 134316 +44KC5aSa44GE 134317 +INin2YTYpdiz2YTYp9mF2YrYqQ== 134318 +44GL44GE 134319 +0Y3QvQ== 134320 +INGD0LrQsNC30LDQvQ== 134321 +INGC0LDQutC+0LU= 134322 +77yz 134323 +64yA7ZWZ 134324 +IGdlbmnFnw== 134325 +INin2YTYrtmK 134326 +INin2YTYrtmK2KfYsdin2Ko= 134327 +44KS6KGM44GG 134328 +16nXnteU 134329 +IEzDoG0= 134330 +2YjZhtmK 134331 +INeQ15zXmdeV 134332 +xJg= 134333 +4LmE4Lih4LmI4Liq4Liy4Lih4Liy4Lij4LiW 134334 +5Lq644Go 134335 +2KjYsdiy 134336 +15nXodeV15M= 134337 +15LXnNeZ 134338 +INmK2YbYpw== 134339 +INmK2YbYp9mK2LE= 134340 +INC60LDRgNGC0LjQvQ== 134341 +IHTDtG4= 134342 +4LmA4LiB4Lij 134343 +4LiE4LiU4Li1 134344 +INec15DXldeo15o= 134345 +44KC44KJ44GG 134346 +44GL44GL44KL 134347 +0LDQvdC40Lg= 134348 +IGFyYcWfdMSxcm1h 134349 +2YTYp9it2Lg= 134350 +44GE44KE 134351 +IFTDoGk= 134352 +IOC4meC4reC4geC4iOC4suC4gQ== 134353 +IOC4meC4reC4geC4iOC4suC4geC4meC4teC5iQ== 134354 +IMSQ4bqjbmc= 134355 +44Gj44Gm44GN44Gf 134356 +IOC4i+C4tuC5iOC4h+C5gOC4m+C5h+C4mQ== 134357 +IHThuqM= 134358 +IG1vxbxsaXdvxZvEhw== 134359 +IFPhuqNu 134360 +IMSwa2k= 134361 +IGPhuq90 134362 +2LPYo9mE 134363 +IGJha8SxbQ== 134364 +2LTYqA== 134365 +4LiV4Li14LmJ 134366 +4Lie4Lii4Liy4Lii 134367 +4Lie4Lii4Liy4Lii4Liy4Lih 134368 +4Liq4Lix4Lib 134369 +4Liq4Lix4Lib4LiU4Liy 134370 +4Liq4Lix4Lib4LiU4Liy4Lir4LmM 134371 +67CA 134372 +0LXRgNGL 134373 +IGPDoW5o 134374 +IHRodeG6vw== 134375 +2KrYqNi5 134376 +44Gr5YWl44KM 134377 +0Y7RgdGM 134378 +7ZqM7J2Y 134379 +57Ch5Y0= 134380 +57Ch5Y2Y 134381 +57Ch5Y2Y44Gr 134382 +IHRyw7pj 134383 +INin2YTZg9mI2Yo= 134384 +INin2YTZg9mI2YrYqg== 134385 +44KP44GR44Gn44GZ 134386 +INGB0LLQvtCx 134387 +INGB0LLQvtCx0L7QtA== 134388 +INGD0YfQsNGB0YLQvdC40Lo= 134389 +4Liq4Li04LmJ4LiZ 134390 +INC/0YDQvtGE0LXRgdGB0LjQvtC90LA= 134391 +INC/0YDQvtGE0LXRgdGB0LjQvtC90LDQu9GM0L0= 134392 +0YHQv9C+0YA= 134393 +15fXldeR15Q= 134394 +2YXYudmG2Yk= 134395 +INin2YTZgdiq2LHYqQ== 134396 +4Liq4Li54LiH4Liq4Li44LiU 134397 +44KP44Ga 134398 +IMSRw6g= 134399 +IMSRw6hu 134400 +5q+U44G5 134401 +4Liy4LiY4Li0 134402 +IG1vxbxlbXk= 134403 +4LmB4LiL 134404 +4LiI4Liw4LmE4Lih4LmI 134405 +IHPhuq9w 134406 +0JrQng== 134407 +IHByw6FjdGljYQ== 134408 +2YjZg9in2YTYqQ== 134409 +6L6844KT44Gn 134410 +b2zDs2dpY2E= 134411 +INC10Yk= 134412 +INC10YnRkQ== 134413 +2KrYudiv2YrZhA== 134414 +INij2YPYrw== 134415 +INem16jXmdeb 134416 +INem16jXmdeb15nXnQ== 134417 +2KvZhQ== 134418 +INC60YDRgw== 134419 +INC60YDRg9C/ 134420 +15HXmden15XXqNeq 134421 +IOyhsOq4iA== 134422 +44Go44GN44Gv 134423 +IGLhuqFj 134424 +INGA0LDRgdC/0L7Quw== 134425 +INGA0LDRgdC/0L7Qu9C+0LY= 134426 +INGA0LDRgdC/0L7Qu9C+0LbQtdC9 134427 +2LLZitmG 134428 +INCa0YDQvtC80LU= 134429 +INin2YTZhti42LE= 134430 +15TXldeT 134431 +INin2YTYs9io2Ko= 134432 +44Go5oCd44GE 134433 +IHBhxYRzdA== 134434 +IHBhxYRzdHc= 134435 +INmE2YrYs9iq 134436 +INCx0YPQtNGD 134437 +4LiX4Lix4LiZ4LiX4Li1 134438 +4Lij4Liy4Lih 134439 +2K3YtdmI2YQ= 134440 +44GX44Gm44GP44KM44KL 134441 +INin2YTYpdiz2LHYp9im2YrZhA== 134442 +INin2YTYpdiz2LHYp9im2YrZhNmK 134443 +44GT44KM44G+44Gn 134444 +7IKs66W8 134445 +IHPDvHLDvA== 134446 +4LmA4Lin4Lit4Lij4LmM 134447 +4LmA4LiL4Lit4Lij4LmM 134448 +IHV0aWxpc8Op 134449 +INGB0LjRgdGC0LXQvNCw 134450 +IGR3w7M= 134451 +IGR3w7NjaA== 134452 +IHByw7Nwcmlv 134453 +IOuTseydhA== 134454 +YXJyw6p0 134455 +INCn0LA= 134456 +15DXnteg15XXqg== 134457 +2LnYp9ix2LY= 134458 +4LmA4LiB4Lih4Liq4LmM 134459 +INec15TXkdeZ158= 134460 +INec15HXlw== 134461 +INec15HXl9eV16g= 134462 +4Liq4Liy4LiC4Liy 134463 +INCc0L7RgdC60LLQtQ== 134464 +2KjYudiv 134465 +INin2YTZgtix2KfYsQ== 134466 +IMSQ4buLYQ== 134467 +INeX15I= 134468 +2YHYqtix 134469 +2YjZhtip 134470 +INeU15bXkNeq 134471 +5biC44Gu 134472 +44G744GX44GE 134473 +INeR16LXmdeo 134474 +INGC0LXQv9C10YDRjA== 134475 +7Iq164uI6rmM 134476 +4LmE4Lih4LmI4Lin 134477 +4LmE4Lih4LmI4Lin4LmI4Liy 134478 +4LmE4Lih4LmI4Lin4LmI4Liy4LiI4Liw 134479 +157XkNeU 134480 +5oOF5aCx 134481 +5oOF5aCx44KS 134482 +2LrZhg== 134483 +INC/0L7Rjw== 134484 +INC/0L7Rj9Cy0Lg= 134485 +6YGO44GU 134486 +2KrYtNi6 134487 +2KrYtNi62YrZhA== 134488 +0LLQtdC7 134489 +INeX154= 134490 +44Go44Gq44KK44G+44GZ 134491 +IHJhxJ8= 134492 +IHJhxJ9tZW4= 134493 +44GL44Gp44GG 134494 +44GL44Gp44GG44GL 134495 +0LXQvdC60L4= 134496 +7KeA6rOg 134497 +INeQ15zXmdeU 134498 +INij2YQ= 134499 +4LiI4Liz4Lir4LiZ 134500 +4LiI4Liz4Lir4LiZ4LmI4Liy4Lii 134501 +bsSxesSx 134502 +INec16fXl9eq 134503 +2KPZh9mF 134504 +2KPZh9mF2YrYqQ== 134505 +2KrYutmK2LE= 134506 +16nXl9eo 134507 +16HXldek16g= 134508 +15PXmdeo 134509 +6Imv44GL44Gj44Gf 134510 +157XnNeX157XlA== 134511 +0YHRgtCy0LjQtQ== 134512 +0YLRgNCw0YI= 134513 +INin2YTYo9iu 134514 +INin2YTYo9iu2YrYsdip 134515 +INin2YTYrdi12YjZhA== 134516 +IGNyw6lkaXRv 134517 +16bXmdei 134518 +44Os44OZ44Or 134519 +2KjYsdmK 134520 +65CQ 134521 +44Gg44Gj44Gm 134522 +IHJlYWx0w6A= 134523 +2LPZgdix 134524 +15XXoNeV 134525 +15LXldeT 134526 +15LXldeT15w= 134527 +4Liu4Liy 134528 +44GX44Gm44GK44KK44G+44GZ 134529 +IGfDoA== 134530 +INec15HXptei 134531 +5byV6LaK44GX 134532 +INee15nXnNeZ 134533 +INee15nXnNeZ15XXnw== 134534 +2YXYr9ix 134535 +2YXYr9ix2LPYqQ== 134536 +16TXldeY 134537 +4LiZ4LmJ4Liz4Lih4Lix4LiZ 134538 +64Gd 134539 +2LnZg9iz 134540 +INmC2LY= 134541 +INGA0YvQsQ== 134542 +2K7Yt9i3 134543 +157Xldeh15M= 134544 +INeb15zXnNeZ 134545 +INC60L7RgtC+0YDQvtC1 134546 +16bXmdeV158= 134547 +INC80LXRgdGC0LA= 134548 +44GL44Gk 134549 +0LPRgNGD0L/Qvw== 134550 +15zXmdec 134551 +16rXldeQ16g= 134552 +67O17KeA 134553 +4LmB4Lic4LmI4LiZ 134554 +INeR16LXqg== 134555 +5pmC6ZaT44KS 134556 +77yj 134557 +44Go44GE44GG44GT44Go44Gn 134558 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+2LPYudmK2K8= 134605 +4Lit4Liy4LiK4Li14Lie 134606 +INiz2YjYp9ih 134607 +44K944OV44OI 134608 +INC70LjRh9C90L4= 134609 +INCa0L7RgA== 134610 +2KfZh9iq2YU= 134611 +2KfZh9iq2YXYp9mF 134612 +4Lit4LiU4Li1 134613 +4Lit4LiU4Li14LiV 134614 +44GQ44KJ44GE 134615 +IGlodGl5YQ== 134616 +IGlodGl5YcOn 134617 +44G+44Gn44Gu 134618 +7Iuc7Iqk 134619 +7Iuc7Iqk7YWc 134620 +0YDRg9GI 134621 +44KE44Gj44Gx 134622 +44KE44Gj44Gx44KK 134623 +0LrQtdGA 134624 +IMW8eQ== 134625 +IMW8eXc= 134626 +0LrQu9C+0L0= 134627 +IGzGsOG7o3Q= 134628 +w74= 134629 +0LTQsNGH0Lg= 134630 +dMO8cms= 134631 +2LrZiA== 134632 +INC40LPRgNC+0Lo= 134633 +IHBow6o= 134634 +INep16LXnA== 134635 +INin2YTZhdiv2YbZig== 134636 +IOyXrOufrOu2hA== 134637 +16LXqNeZ150= 134638 +0YXQvtC00Y/Rgg== 134639 +IHjhu6k= 134640 +0JfQsA== 134641 +INmB2LHYtQ== 134642 +4LiI4Liw4LiX4Liz4LmD4Lir4LmJ 134643 +7YG0 134644 +16LXkdeV16g= 134645 +4LmA4Lir4Lil4LmI4Liy4LiZ4Li14LmJ 134646 +6ICD44GI44KL 134647 +0YDQtdGB0YI= 134648 +0L3QvdGL0Lk= 134649 +IGPhuqdt 134650 +2K/Yp9iu2YQ= 134651 +INmF2YTZitin2LE= 134652 +INCQ0Ls= 134653 +INCy0YDQtdC80LXQvQ== 134654 +4LiK4LmI4Lin4Lii4LmD4Lir4LmJ 134655 +16jXmdeV16o= 134656 +65Ov 134657 +6aOy44G/ 134658 +16DXnA== 134659 +16nXqtej 134660 +INin2YTYs9i52YjYr9mK 134661 +dcOf 134662 +7J24642w 134663 +IOydvOuwmA== 134664 +xYLEmQ== 134665 +IG3hu5Fp 134666 +157Xmdeg 134667 +INin2YTYo9i32YHYp9mE 134668 +IMOnxLFrYW4= 134669 +w6ljb2xl 134670 +16fXmdep 134671 +16fXmdep15XXqA== 134672 +INC+0YHRg9GJ0LXRgdGC0LI= 134673 +INC+0YHRg9GJ0LXRgdGC0LLQu9GP 134674 +15HXkNeo 134675 +4LmE4Lib4LiU4LmJ4Lin4Lii 134676 +INei15XXnNeU 134677 +4LiB4LmH4LmE4Lih4LmI 134678 +44Oi44OH 134679 +44Oi44OH44Or 134680 +2KrYrdmI2YQ= 134681 +INC+0LTQvdC+0LPQvg== 134682 +16rXl9eZ15zXqg== 134683 +INiq2K4= 134684 +IGNoY2lh 134685 +IGNoY2lhxYI= 134686 +44OQ44Oz 134687 +6ICF44Gv 134688 +INmF2K3ZhA== 134689 +0YHQu9C+0LY= 134690 +0YHQu9C+0LbQvQ== 134691 +IHTEmQ== 134692 +IMOnxLFrdA== 134693 +IMOnxLFrdMSx 134694 +IEPGoQ== 134695 +4LmE4LiU4LmJ4LmA4Lil4Lii 134696 +xLFya2Vu 134697 +4LmA4LiC4LmJ4Liy4Liq4Li54LmI 134698 +2YXYrdmD 134699 +2YXYrdmD2YXYqQ== 134700 +4LiE4Li44LmJ4Lih 134701 +4LiZ4LmI4Liy4LiI4Liw 134702 +0LvRjtC0 134703 +0LTQtdGB0Y8= 134704 +0LTQtdGB0Y/Rgg== 134705 +INC70Y7QsdC+0Lk= 134706 +2KrYrdix2YrYsQ== 134707 +16bXoteT 134708 +INC10ZE= 134709 +INin2YTYrdmD2YU= 134710 +INi12KjYp9it 134711 +4LmA4Lia4Lit4Lij4LmM 134712 +IHLDs8W8bnljaA== 134713 +0LPQuNCx 134714 +INGB0L7Rgg== 134715 +INGB0L7RgtGA0YPQtA== 134716 +INGB0L7RgtGA0YPQtNC90LjQug== 134717 +INC+0LHRitC10Lw= 134718 +16TXmNeo 134719 +44GZ44GU44GP 134720 +44Gr6Zai44GX44Gm 134721 +0LLQvtC7 134722 +2KvZhdin2YY= 134723 +IGThuqdu 134724 +5oqc 134725 +5oqc44GR 134726 +INei16k= 134727 +INei16nXldeZ 134728 +16HXldef 134729 +44Gq44Gu44Gn44GZ 134730 +44Gv44Gp44GG 134731 +157Xoteo15E= 134732 +77yw 134733 +2YXYtdix 134734 +2YXZhtin2LPYqA== 134735 +2YXZhtin2LPYqNip 134736 +5LiK44Gu 134737 +15DXmdep15XXqA== 134738 +IOyEpOy5mA== 134739 +157Xk9eZ16DXldeq 134740 +157XqNeq 134741 +44KL44Gu44GM 134742 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134839 +44Gn44GZ44KI 134840 +INCy0L7QtNC+ 134841 +INmK2YjYrNiv 134842 +0YHQvtGB0YLQvtGP 134843 +0J7QoQ== 134844 +IMSQw7M= 134845 +15fXpNep 134846 +INem15nXkdeV16g= 134847 +INin2YTZgti3 134848 +INin2YTZgti32KfYuQ== 134849 +INC40LzQtdGO0YI= 134850 +IHBo4bqtbg== 134851 +15vXodek15k= 134852 +0L/QvtC70L3QuNGC0LXQu9GM 134853 +6ZmQ44KK 134854 +INGB0YDQsNCy 134855 +INGB0YDQsNCy0L0= 134856 +2YXYp9mE2YM= 134857 +15PXqNeV150= 134858 +55qG44GV44KT 134859 +2K3ZgtmC 134860 +4LmB4Lir4Lil4LmI4LiH 134861 +INin2YTYsdiz2YXZig== 134862 +0L7Rh9C60Lg= 134863 +15jXkdeX 134864 +IGNhbmzEsQ== 134865 +INec15w= 134866 +INec15zXnteV15M= 134867 +157XkdeV 134868 +16rXmw== 134869 +16rXm9eg15nXqg== 134870 +INin2YTZhdi02KfYsQ== 134871 +INin2YTZhdi02KfYsdmD2Kk= 134872 +xLDFng== 134873 +INiz2YrYp9iz2Yo= 134874 +0LLQvtC70Yw= 134875 +INGB0L/RgNCw0LI= 134876 +5p2l44Gm 134877 +16TXldeo15XXnQ== 134878 +4Liq4Liz4LmA4Lij4LmH 134879 +4Liq4Liz4LmA4Lij4LmH4LiI 134880 +IMWfw7Z5bGU= 134881 +IHpvc3RhxYJh 134882 +IEjDvA== 134883 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134930 +INGD0YfQtdGC 134931 +w6LMgQ== 134932 +INio2YTYpw== 134933 +INin2YTYp9is2KrZhdin2LnZig== 134934 +16TXqNeh150= 134935 +44OV44Op 134936 +INCa0L7Qs9C00LA= 134937 +bWllxZtjaQ== 134938 +INio2YrZhtmF2Kc= 134939 +INee15DXnteo15nXnQ== 134940 +INeR15DXlteV16g= 134941 +15XXqdeZ150= 134942 +INGB0LTQtdC70LA= 134943 +ZW50csOpZQ== 134944 +4LmA4LiE4LmJ4Liy 134945 +0YPQs9C7 134946 +INin2YTZgdmG2Yo= 134947 +INCS0L7Rgg== 134948 +4LiX4Li14LmI4Lih4Liy 134949 +15XXpteS 134950 +2YLYr9ix2Kk= 134951 +IOuqqQ== 134952 +IOuqqeyggQ== 134953 +7Y+J6rCA 134954 +INin2YTYo9ix2KjYuQ== 134955 +INin2YTYo9ix2KjYudin2KE= 134956 +16TXodeZ16c= 134957 +INGP0LLQu9GP0Y7RgtGB0Y8= 134958 +2KjZiNmG 134959 +7LC+ 134960 +157Xoteo15s= 134961 +157Xoteo15vXldeq 134962 +44K344Kn 134963 +INio2KfZhNij 134964 +7ZaI642Y 134965 +INin2YTYqNix2YbYp9mF2Kw= 134966 +INin2YTYo9it2K8= 134967 +IG3FqQ== 134968 +IG3FqWk= 134969 +0L/QsNGC 134970 +2KjYqw== 134971 +INGG0LXQvdGL 134972 +INeR16rXnA== 134973 +6KiA44KP44KM 134974 +INin2YTZhdis2KfZhA== 134975 +IOyEuOyDgQ== 134976 +INeS15XXpA== 134977 +INC90LDRiNC10Lk= 134978 +INC60L7QvNC/0LDQvdC40Y8= 134979 +0LHQuNC9 134980 +w7Zsw7w= 134981 +15nXmdeY 134982 +INee16HXpNeZ16c= 134983 +4Lii4Lix4LiH4LiE4LiH 134984 +INCn0Lg= 134985 +INCw0L3RgtC4 134986 +INGB0YDQtdC00Lg= 134987 +4Liq4LmI4Lin4LiZ4LmD4Lir4LiN4LmI 134988 +0L7Rh9C60LA= 134989 +7Yq567OE 134990 +4Lin4LmI4Liy4LiH 134991 +0LPQvtGA0L7QtA== 134992 +2KjYp9mD 134993 +4LmA4Liq4Li14LmI4Lii 134994 +4LmA4Liq4Li14LmI4Lii4LiH 134995 +44KC44KJ44GE 134996 +16fXlded 134997 +44Gb44Ga 134998 +INin2YTZgtin2YfYsdip 134999 +INeR15vXmg== 135000 +2YXYtNin2LHZiti5 135001 +2KjYp9it2Ks= 135002 +INC/0L7Rhw== 135003 +INC/0L7Rh9GC0Lg= 135004 +INGE0L7RgNC80LA= 135005 +U8Sw 135006 +INee16bXmdei 135007 +4Lil4Li3 135008 +4Lil4Li34Lih 135009 +INGC0LXRgA== 135010 +INGC0LXRgNGA0LjRgtC+0YA= 135011 +INGC0LXRgNGA0LjRgtC+0YDQuNC4 135012 +INCy0LzQtdGB0YI= 135013 +INCy0LzQtdGB0YLQtQ== 135014 +ZMSxa2xhcsSx 135015 +b3DDqXJhdGlvbg== 135016 +4LmC4Lir 135017 +2LXYr9mK 135018 +2LXYr9mK2YI= 135019 +7ZaJ7KCV 135020 +2KrYrNin 135021 +2KrYrNin2YjYsg== 135022 +IHN1w6c= 135023 +IGFydHk= 135024 +IGFydHlrdQ== 135025 +IGFydHlrdcWC 135026 +44K344On44OD44OX 135027 +16nXpA== 135028 +16nXpNeZ16I= 135029 +INeU16nXmdeo15XXqg== 135030 +4LmB4LiW4Lih 135031 +67iU 135032 +IHVrxYJhZA== 135033 +INeV15vXmQ== 135034 +4Lir4Lil4Liy4LiB 135035 +4Lir4Lil4Liy4LiB4Lir4Lil4Liy4Lii 135036 +5pa544KC 135037 +IHBvZHLDs8W8 135038 +IEXEn2Vy 135039 +INC60L7QvNC90LDRgg== 135040 +INGB0LDQvNGL0YU= 135041 +INCy0LrRg9GB 135042 +0LHQtdC2 135043 +INeR16fXlQ== 135044 +5o6b44GR 135045 +44G/44KL44Go 135046 +IGlsacWfa2lu 135047 +INmK2LnZhdmE 135048 +INC/0L7QtNCw0YA= 135049 +IHlhesSxbMSx 135050 +44KS5b6X 135051 +IHd5c3TEmXA= 135052 +4LiX4Li14LmI4LmD4LiK4LmJ 135053 +2K3Yp9iv2Ks= 135054 +2YjZitiv 135055 +0LrRg9C70YzRgg== 135056 +0LrRg9C70YzRgtGD0YA= 135057 +4LiB4Liy4Lij4LmB4LiC4LmI4LiH 135058 +4LiB4Liy4Lij4LmB4LiC4LmI4LiH4LiC 135059 +4LiB4Liy4Lij4LmB4LiC4LmI4LiH4LiC4Lix4LiZ 135060 +2YXZiNi4 135061 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135241 +INC40LPRgNCw0YLRjA== 135242 +IOq3uOufrOuptA== 135243 +44OV44Or 135244 +4Lil4LmI4Liw 135245 +IHRlbmRyw6E= 135246 +IGLDoHk= 135247 +4LmA4Lib4LmH4LiZ4Lic4Li54LmJ 135248 +IG9rbw== 135249 +IG9rb8WCbw== 135250 +d8WCYQ== 135251 +d8WCYcWbY2k= 135252 +d8WCYcWbY2l3 135253 +5oCd44KP 135254 +IFlhxZ8= 135255 +IELhu4duaA== 135256 +7Y+t 135257 +2KjZitiv 135258 +16fXqNef 135259 +4LmA4Lio4Lij 135260 +4LmA4Lio4Lij4Lip 135261 +4LmA4Lio4Lij4Lip4LiQ 135262 +4LmA4Lio4Lij4Lip4LiQ4LiB4Li04LiI 135263 +INin2YTYo9mI2LHZiA== 135264 +INin2YTYo9mI2LHZiNio2Yo= 135265 +ZmzDpGNoZQ== 135266 +5LmX44KK 135267 +IGLhu4Fu 135268 +2YfYqA== 135269 +5pyA44KC 135270 +IHNhw6c= 135271 +4Lit4Liz4LmA4Lig 135272 +4Lit4Liz4LmA4Lig4Lit 135273 +INij2Kw= 135274 +INin2YTYr9in2K7ZhA== 135275 +INin2YTYr9in2K7ZhNmK2Kk= 135276 +15jXldeR 135277 +44KC44Gq44GP 135278 +INC70LjRhtCw 135279 +4LmB4Lil4LmJ4Lin4LiB4LmH 135280 +15bXm9eZ16g= 135281 +IHF1w6A= 135282 +INmD2LDZhNmD 135283 +2LXYrdmB 135284 +IMOCdQ== 135285 +2YjYqNin 135286 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135462 +2KzZhdmH2YjYsdmK2Kk= 135463 +4LiJ4Lia 135464 +4LiJ4Lia4Lix4Lia 135465 +IEPDsm4= 135466 +4Lic4Liq4Lih 135467 +44Gq44Gp44GM 135468 +15DXlNeR 135469 +INC00LXQudGB0YLQstC40Y8= 135470 +ecSxeg== 135471 +4LmE4Lih4LmI4LmA4LiE4Lii 135472 +2KzZiNiy 135473 +15TXl9ec15jXlA== 135474 +ZsOkbGx0 135475 +44OT44K4 135476 +44OT44K444ON 135477 +44OT44K444ON44K5 135478 +INeQ15nXoNed 135479 +INC90LDRhdC+0LTQuNGC0YHRjw== 135480 +IGR6acWb 135481 +2LPYqti32YrYuQ== 135482 +15zXmdef 135483 +2K7ZhNin2YE= 135484 +2YfZkA== 135485 +IGF0csOhcw== 135486 +7ZiB 135487 +44KS44GU 135488 +INeU157Xldem16g= 135489 +IEJha2FubMSxxJ/EsQ== 135490 +0Y7RidC10LU= 135491 +2YXZhtin2Lc= 135492 +2YXZhtin2LfZgg== 135493 +2YHYrw== 135494 +4LiZ4Liz4LmE4Lib 135495 +INCy0LDQtg== 135496 +INCy0LDQttC90L4= 135497 +IG3huqFjaA== 135498 +15vXoNeV 135499 +2KjYudir 135500 +bGFubWFzxLE= 135501 +IGF5cg== 135502 +IGF5csSxbA== 135503 +7IKs7ZqM 135504 +ZMOtYQ== 135505 +cMWCeXc= 135506 +2KfZhdmK2Kk= 135507 +7Zic 135508 +15DXoNeS15w= 135509 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135599 +INec15DXldeo 135600 +IMSQaeG7h24= 135601 +2LTYpA== 135602 +2LTYpNmI2YY= 135603 +INee15fXpNep 135604 +INC/0L7RgdGC0L7Rj9C90L3Qvg== 135605 +157Xmdeo 135606 +7IWU 135607 +0J7RgQ== 135608 +0J7RgdC90L7Qsg== 135609 +15bXmdeq 135610 +IEjDoQ== 135611 +INGH0LDRgdC+0LI= 135612 +15DXldec15k= 135613 +IG3DoXQ= 135614 +2K7YsdmI 135615 +2K7YsdmI2Kw= 135616 +2YLYttin 135617 +2YLYttin2YrYpw== 135618 +4LmA4Lib4Lit4Lij4LmM 135619 +INmK2YjZhA== 135620 +INmK2YjZhNmK2Yg= 135621 +4LmC4LiX4Lip 135622 +16DXpNec 135623 +16rXldep 135624 +16rXldep15HXmQ== 135625 +IHbDoXJpb3M= 135626 +157XqNeQ15Q= 135627 +65287J20 135628 +2YbYug== 135629 +15HXptei 135630 +0LPQvtC9 135631 +IMSQxrDhu6Nj 135632 +2LnZjw== 135633 +0L/Rg9GB0Lo= 135634 +INmI2KfZhNmB 135635 +w7xjw7w= 135636 +15nXp9eZ150= 135637 +INiz2KjZitmE 135638 +15zXkdef 135639 +INin2YTZgtix2YY= 135640 +16HXldeq 135641 +IFF14bqtbg== 135642 +44GT44KM44GM 135643 +44OW44Op44Oz44OJ 135644 +15LXnteo 135645 +IHdhcnRvxZtjaQ== 135646 +INmI2KjZitmG 135647 +IGThuqE= 135648 +0JDQsg== 135649 +0JDQstGC0L4= 135650 +IG9sYWNha3TEsXI= 135651 +4LiZ4LiX4LmM 135652 +2YXYt9in2LE= 135653 +INei16fXkQ== 135654 +INeq16Q= 135655 +44GX44Gm44GE44Gm 135656 +16bXnteX 135657 +4LiI4Lit4LiH 135658 +IMO2ZGU= 135659 +7I2o 135660 +2YbYp9iz 135661 +6Kq/44G5 135662 +INC+0LPRgNC+0LzQvQ== 135663 +67O07ZeY 135664 +15jXpw== 135665 +15jXp9eh15g= 135666 +IGJhxZ92 135667 +IGJhxZ92dXJ1 135668 +IHBvbXlz 135669 +IHBvbXlzxYI= 135670 +44Gr5LmX 135671 +INep15vXnw== 135672 +INin2YTZhdiz2KTZiNmE 135673 +INC30LDQvQ== 135674 +INC30LDQvdGP0YI= 135675 +IGTGsMahbmc= 135676 +44OX44Os44Kk 135677 +4Lil4Lia 135678 +0YLQuNC60LA= 135679 +IEFyYWzEsWs= 135680 +INC90LXQtNC+ 135681 +IG3hu5k= 135682 +IG9yYW4= 135683 +IG9yYW7EsQ== 135684 +IGt0w7Ny 135685 +IGt0w7NyxIU= 135686 +INeU15DXl9eo15XXoNeV16o= 135687 +2KfYptmG 135688 +xYRz 135689 +xYRza2E= 135690 +5Zu944Gu 135691 +157XmNeZ 135692 +INCy0L7Qv9GA0L7RgdGL 135693 +4Lit4LiH4LiE4LmM4LiB4Lij 135694 +157Xldem15A= 135695 +IHDDs8W6 135696 +IHDDs8W6bmllag== 135697 +16nXnteQ15w= 135698 +IGthcHM= 135699 +IGthcHNhbQ== 135700 +IGthcHNhbcSxbmRh 135701 +IG3DoXF1aW5h 135702 +IMWbd2llY2ll 135703 +IGhvw6BuZw== 135704 +IMO2emfDvA== 135705 +15LXldeo150= 135706 +44GC44Gf44KK 135707 +4LiV4Lix4LiU4Liq4Li04LiZ 135708 +4LiV4Lix4LiU4Liq4Li04LiZ4LmD4LiI 135709 +0LHRgNC4 135710 +44Gr44Gq44KL44Go 135711 +2KrZg9mI2YY= 135712 +INeV15TXmdeQ 135713 +IGNoaeG6v3U= 135714 +0YHRgtCw0L3QsNCy 135715 +0YHRgtCw0L3QsNCy0LvQuA== 135716 +0YHRgtCw0L3QsNCy0LvQuNCy0LA= 135717 +157XldeS 135718 +Y2l0w6k= 135719 +IEvDtnJwZXI= 135720 +INep15LXnQ== 135721 +2LnYuA== 135722 +2LnYuNmK2YU= 135723 +INeU15DXmdep15k= 135724 +IG1hdGnDqHJl 135725 +INmB2YjZgg== 135726 +IGt0bw== 135727 +IGt0b8Wb 135728 +4LiZ4LmC4Lii 135729 +4LiZ4LmC4Lii4Lia4Liy4Lii 135730 +5b6F44Gh 135731 +4LmA4Lih4LiZ 135732 +4LmA4Lih4LiZ4Li5 135733 +QcOHw4NP 135734 +IHTDuQ== 135735 +IHTDuXk= 135736 +44OI44Oz 135737 +INC+0YLQutCw0Lc= 135738 +INee15XXpteo 135739 +w7xsw7w= 135740 +44GV44KT44Gr 135741 +INeX15XXkQ== 135742 +16fXqNeZ15DXlA== 135743 +INin2YTYrtiv2YXYp9iq 135744 +INmE2YXYr9ip 135745 +2LHYpA== 135746 +2LHYpNmK2Kk= 135747 +44KS6KaL44Gk44GR 135748 +4Lif4Liy 135749 +IHLDqXVzc2k= 135750 +4LiZ4Lix4LiB4LmA4Lij4Li14Lii4LiZ 135751 +INGH0LjRgdC7 135752 +4LiB4Liy4Lij4LmA4Lil4LmI4LiZ 135753 +IGhhesSxcmw= 135754 +IGhhesSxcmxhbg== 135755 +INC/0LXRgNCy0YvQuQ== 135756 +0LvQuNC8 135757 +INC+0YLQt9GL0LLRiw== 135758 +IHd5asSF 135759 +IHd5asSFdGs= 135760 +INij2YLZhA== 135761 +16HXmg== 135762 +IOqysOyglQ== 135763 +INec157Xotep15Q= 135764 +IGzhuq9w 135765 +4LmB4Lia4Lij 135766 +4LmB4Lia4Lij4LiZ4LiU4LmM 135767 +4Lin4LmI4Liy4LmA4Lib4LmH4LiZ 135768 +INio2K/Ypw== 135769 +INio2K/Yp9mK2Kk= 135770 +44Go44GE44GG44Gu44GM 135771 +0LjRh9C10YHQutC40Lw= 135772 +4LiB4Liy4Lij4Lie4Lix4LiS4LiZ4Liy 135773 +IGLDoG8= 135774 +IG1pYcWCYQ== 135775 +eXdhxIc= 135776 +IE3DpHJ6 135777 +INmG2LPYqNip 135778 +IMOpY29ub21pcXVl 135779 +15bXng== 135780 +15bXnteg15nXnQ== 135781 +5q2i44KB 135782 +IHThu6c= 135783 +7ZWY7Iug 135784 +IGthxbxkZWdv 135785 +c3RyYcOfZQ== 135786 +4LiK4Li14LmJ 135787 +4LmA4Lia4Liy 135788 +0YDQtdGB0YPRgNGB 135789 +0LXQstC+0Lk= 135790 +2LTYqNin2Kg= 135791 +4LiV4LmI4Liy4LiH4Lib4Lij4Liw4LmA4LiX4Lio 135792 +INeQ15nXqQ== 135793 +INeQ15nXqdeZ16o= 135794 +15nXldek 135795 +15nXldek15k= 135796 +IOyalOq1rA== 135797 +7KGw7IKs 135798 +44Gj44Gf44KJ 135799 +15zXmden 135800 +0LzQuNC90LjRgdGC0YA= 135801 +44KC44Gu44Gv 135802 +IGzGsMahbmc= 135803 +INC90LDQuA== 135804 +INC90LDQuNCx0L7Quw== 135805 +INC90LDQuNCx0L7Qu9C10LU= 135806 +7Y6Y 135807 +4LmB4Lie4LmJ 135808 +44Kt44Ol 135809 +INC60L7RgtC+0YDRi9C8 135810 +4LmB4LiX4LiH 135811 +4LmB4LiX4LiH4Lia4Lit4Lil 135812 +INeg15nXlA== 135813 +INeg15nXlNeV15w= 135814 +4oKq 135815 +IEdp4bqjaQ== 135816 +INC40YHQv9C+0LvRjNC30L7QstCw 135817 +66Cl7J2E 135818 +44GX44GL44KC 135819 +4LiB4LmH4LiV4LmJ4Lit4LiH 135820 +INGA0LXQsQ== 135821 +INGA0LXQsdC10L0= 135822 +INGA0LXQsdC10L3QutCw 135823 +2KrZiNin2LXZhA== 135824 +44Kw44Or44O844OX 135825 +44KE44KJ 135826 +4LmA4Lib4Li04LiU4LiV4Lix4Lin 135827 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136006 +2K3YrNix 136007 +IMSR4buV 136008 +IOydmO2VtA== 136009 +4Lia4LmI4Lit4Lii 136010 +INeU15nXnNeT 136011 +44Go44Gq44Gj44Gf 136012 +INeX15XXldeq 136013 +INep15nXqNeV16rXmQ== 136014 +xIVjeQ== 136015 +2LPYsdmK 136016 +S8Sw 136017 +16TXoNeV 136018 +0YHRgtGA0YPQutGC0YPRgA== 136019 +0YLRgNGD0LQ= 136020 +INeU16fXqA== 136021 +INeU16fXqNeV15E= 136022 +IHRo4bqtbQ== 136023 +6IGe44GN 136024 +2YLZiNmK 136025 +0LrQu9GO0YfQtdC9 136026 +0YLQtdGF 136027 +0YLQtdGF0L3QvtC70L7Qsw== 136028 +6KGM44Gj44Gf 136029 +INeV15DXmdef 136030 +IMWfZWtsaW4= 136031 +IMWfZWtsaW5kZQ== 136032 +csO0 136033 +0YDQvtCz 136034 +INC90L7QstGL0LU= 136035 +INeh15HXmdeR 136036 +IHRlY25vbG9nw61h 136037 +16HXmw== 136038 +16HXm9eV150= 136039 +IMWedWI= 136040 +IMWedWJhdA== 136041 +INeU157XnNeQ 136042 +IHd5cG9z 136043 +IHd5cG9zYcW8 136044 +44Gv5L2V 136045 +44Ks44Oz 136046 +6rCW 136047 +INC60LDQutC40LU= 136048 +IMOnb2N1a2xhcg== 136049 +INec16bXkw== 136050 +IGthecSxdA== 136051 +INC80LXRgdGC0LU= 136052 +2YXYr9mK2YbYqQ== 136053 +INeb15I= 136054 +INeb15LXldef 136055 +44GX44Gm44KL 136056 +INmF2KfZitmI 136057 +44Gj44Gm44GX44G+44Gj44Gf 136058 +INC/0YDQvtCz0YDQsNC80LzRiw== 136059 +4LmB4Lil4LiZ4LiU4LmM 136060 +44Ov44Kk 136061 +16LXqNeV16U= 136062 +0YHQuNC0 136063 +IELDtnlsZQ== 136064 +IOyymOydjA== 136065 +INeq16TXp9eZ15M= 136066 +IFRyw6pu 136067 +7YOI 136068 +INCg0L7RgdGB0LjQuQ== 136069 +INCg0L7RgdGB0LjQudGB0LrQvtC5 136070 +IHPDoG4= 136071 +IHLDqGdsZQ== 136072 +IHlha2xhxZ/EsWs= 136073 +4LmA4Lil4Li04LiB 136074 +INiv2KfYptmF 136075 +INeV15I= 136076 +2KfYqNix 136077 +IGLDqA== 136078 +INin2YTZgtiv2YU= 136079 +INGA0LXRiNC10L3QuNGP 136080 +aGnDqm4= 136081 +0YLQuNC6 136082 +xIQ= 136083 +4Lia4Lij4Lij4Lii4Liy4LiB 136084 +4Lia4Lij4Lij4Lii4Liy4LiB4Liy4Lio 136085 +16jXpteV158= 136086 +5YuV44GN 136087 +IEfDpHN0ZQ== 136088 +IOq4sOuzuA== 136089 +INmK2LnYsdmB 136090 +IFPhu60= 136091 +Z8WCxJli 136092 +4LmA4Lit4Liq 136093 +15DXnteZ158= 136094 +INC/0YPQvdC6 136095 +INC/0YPQvdC60YI= 136096 +INeZ15XXk9ei15nXnQ== 136097 +44Kr44Op44O8 136098 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+IG7Dug== 136191 +IG7Dumk= 136192 +4Lii4Liy4LiH 136193 +INin2YTYrNmG2LM= 136194 +IMO8c3TDvG4= 136195 +65y7 136196 +44K744Or 136197 +44Gm44GE44GN44G+44GZ 136198 +INeX15XXlg== 136199 +INeX15XXlteo 136200 +INCT0LvQsNCy 136201 +4LmC4LiK4LiE 136202 +7Y+Q 136203 +2YbYqti42LE= 136204 +INeS15HXmQ== 136205 +2LnZgtio 136206 +aW50w6ly 136207 +aW50w6lyw6p0 136208 +157XpNeS 136209 +157XpNeS16k= 136210 +IHRow7k= 136211 +2KfZgdiq 136212 +INee16nXpA== 136213 +INee16nXpNeY15k= 136214 +INmF2YjYp9mC2Lk= 136215 +6Kaa 136216 +6Kaa44GI 136217 +15PXmdef 136218 +4LmA4Lij4Li34LmI4Lit4LiH4Lij4Liy4Lin 136219 +44G+44GC 136220 +IGdo4bq/ 136221 +0LjRgNGD0Y7Rgg== 136222 +4LiB4Lin 136223 +4LiB4Lin4LmJ4Liy4LiH 136224 +INC/0L7QstC10YA= 136225 +INC/0L7QstC10YDRhQ== 136226 +INC/0L7QstC10YDRhdC90L7RgdGC 136227 +16DXk9eo 136228 +INC60L7QvdGG0LU= 136229 +INC00L7Qu9C20L3QsA== 136230 +INeZ16nXmdeo 136231 +YWNhxJ/EsXo= 136232 +7JeU 136233 +IG7DrXZlbA== 136234 +IMO2cg== 136235 +IMO2cm5law== 136236 +2YPZgQ== 136237 +INCk0LXQtNC10YDQsNGG0LjQuA== 136238 +IOq1rOyEsQ== 136239 +4Lir4Lix4Lin4LmD4LiI 136240 +IFbhuq15 136241 +0LzQtdC0 136242 +0LzQtdC00Lg= 136243 +0LzQtdC00LjRhtC40L0= 136244 +0LzQtdC00LjRhtC40L3RgdC6 136245 +2KfYstmK 136246 +15LXkdeV15w= 136247 +0YTRgA== 136248 +IHp1c8OkdHpsaWNo 136249 +4LiB4LiB 136250 +INin2YTYp9mC2KrYtdin2K/Zitip 136251 +IGjDqA== 136252 +bHXEn3Vu 136253 +2KzZjg== 136254 +4LmE4Lif4Lil4LmM 136255 +xJBU 136256 +44Gd44Gu5LuW 136257 +4LiX4Li04LmJ4LiH 136258 +INin2YTYo9mI 136259 +2LHYs9mF 136260 +5rCX44Gl 136261 +7J2066mw 136262 +0YzQtdCy 136263 +2LXYtw== 136264 +INin2YTYp9iz2KrYqw== 136265 +INin2YTYp9iz2KrYq9mF2KfYsQ== 136266 +4Lit4Liy4LiE4Liy4Lij 136267 +INGC0L7Rh9C90L4= 136268 +IFbDom4= 136269 +4Lit4Lij 136270 +4Lit4Lij4LmI4Lit4Lii 136271 +INin2YTYs9mG2Kk= 136272 +IGPGsOG7m2k= 136273 +15nXlNef 136274 +7Y28 136275 +6Kmx44GX 136276 +4peL 136277 +IOyViuydgA== 136278 +44Oh44O844I= 136279 +44Oh44O844Kr 136280 +44Oh44O844Kr44O8 136281 +INGC0LXQv9C70L4= 136282 +5b2844KJ 136283 +IMSweg== 136284 +IMSwem1pcg== 136285 +7ZmN 136286 +IHLGsOG7ow== 136287 +IHLGsOG7o3U= 136288 +5oCd44GE5Ye6 136289 +IFBo4bqhbQ== 136290 +IGNow6F1 136291 +16bXmdeV16o= 136292 +IOydvOuzuA== 136293 +7IKs64qU 136294 +INGB0L7Qt9C00LDQvQ== 136295 +IGFyYWPEsQ== 136296 +INei16g= 136297 +INei16jXmdeb15Q= 136298 +IO2VmOuCmOuLmOydmA== 136299 +ZHppxYI= 136300 +4Lib4Lij4Liw4LiY4Liy4LiZ 136301 +IHNlcsOtYQ== 136302 +IOyeiOuPhOuhnQ== 136303 +2K/Ysdis 136304 +7ZWc64uk64qU 136305 +4Lit4Liy4LiX 136306 +4Lit4Liy4LiX4Li04LiV 136307 +4Lit4Liy4LiX4Li04LiV4Lii4LmM 136308 +0YLQtdC70YzQvdGL0Lk= 136309 +INiu2K/Zhdin2Ko= 136310 +157XoNeY 136311 +IGzGsOG7o2M= 136312 +IFPDoGk= 136313 +INmI2KfYtg== 136314 +INmI2KfYttit 136315 +2LrYp9iy 136316 +IGRvxJ9hbA== 136317 +INeR16nXnQ== 136318 +INC00LvQuNC9 136319 +INil2LfYp9ix 136320 +INeR16HXpNeo 136321 +44KS5LiO 136322 +44KS5LiO44GI 136323 +IOuyleuloA== 136324 +INGD0LLQtdC70Lg= 136325 +INGD0LLQtdC70LjRh9C4 136326 +4Liq4LmE4LiV 136327 +4Liq4LmE4LiV4Lil4LmM 136328 +4LmE4LiB4Lil 136329 +15HXl9ef 136330 +IOydtO2bhA== 136331 +IG11bmlj 136332 +IG11bmljw61waW8= 136333 +2KrZhdir2YQ= 136334 +IMSRw6Fv 136335 +SMO0dGVs 136336 +IGzhu61h 136337 +IMSR4bqzbmc= 136338 +0YfQutC4 136339 +2LTYsdmI 136340 +2LTYsdmI2Lc= 136341 +IOydtOulvA== 136342 +2YrZi9in 136343 +157XnNea 136344 +157XlNeZ16jXldeq 136345 +INC+0LHRj9C30LDRgtC10LvRjA== 136346 +INC+0LHRj9C30LDRgtC10LvRjNC90L4= 136347 +w6luZXJnaWU= 136348 +IG11ZGFuw6dh 136349 +IG3hu6U= 136350 +IG3hu6Vu 136351 +IG7Cug== 136352 +INin2YTYqti52Kc= 136353 +INin2YTYqti52KfZiNmG 136354 +INin2YTYp9is2KrZhdin2LnZitip 136355 +INC/0LvQsNGB0YI= 136356 +IOuTseydmA== 136357 +44OQ44Kk44Kv 136358 +2YfYrNmI2YU= 136359 +IFNhw7pkZQ== 136360 +IOykkeyalO2VnA== 136361 +INeU16bXmdeR15XXqA== 136362 +16rXp9ef 136363 +INin2YTYudin2YTZhdmK 136364 +INCx0L7Qu9GM0YjQvtC5 136365 +INmD2YTZhQ== 136366 +INmD2YTZhdip 136367 +44Gu44Gn44Gv44Gq44GE44Gn44GX44KH44GG44GL 136368 +INmF2KjYp9ix2KfYqQ== 136369 +INep15DXoA== 136370 +INep15DXoNeX16DXlQ== 136371 +44K544K/44Kk44Or 136372 +IFNhxJ8= 136373 +IFNhxJ9sxLFr 136374 +IGjGsA== 136375 +16DXl9eU 136376 +INeR16fXqNeR 136377 +2LfYudmF 136378 +4Lir4Li04LiZ 136379 +4LiX4Li44LiB4Lin4Lix4LiZ 136380 +4LiE4Lij4Lix4LmJ4LiH4LiX4Li14LmI 136381 +IGzDoG5o 136382 +IGRvbm7DqQ== 136383 +44Gb44GE 136384 +2KzYstmK2LHYqQ== 136385 +0LTQvtGA0L7Qtg== 136386 +7Lyc 136387 +2KrZhti42YrZgQ== 136388 +44OB44On 136389 +IGFsZMSxxJ/EsQ== 136390 +2KzYp9is 136391 +INGC0L7QvNGD 136392 +4Lib4Li0 136393 +INeR16jXqdeq 136394 +44GP44Gq44KK44G+44GZ 136395 +INC/0YDQuNC90YbQuNC/ 136396 +INeX15zXlQ== 136397 +64+8 136398 +15XXktep 136399 +2LPYsw== 136400 +4Lib4Li5 136401 +IGjhuqd1 136402 +5oSf44GY44KL 136403 +77y0 136404 +2K/ZiNin 136405 +INGB0LzQvtCz 136406 +c2NyacOnw6Nv 136407 +IHRo4bqtbg== 136408 +INeo15XXkNeU 136409 +0L7QsdGA0LDQttC10L0= 136410 +INin2YTYqtis2KfYsdmK2Kk= 136411 +2LfYqNmK2Lk= 136412 +asSFY8SF 136413 +7ZaJ7JyE 136414 +INC90L7QstGL0Lk= 136415 +INee15fXk9ep 136416 +5oyv44KK 136417 +Z3XDqQ== 136418 +INeQ15nXqNeV16I= 136419 +INeQ15nXqNeV16LXmded 136420 +INin2YTYsNmH2Kg= 136421 +15PXkA== 136422 +2KrYp9mG 136423 +44Gg44GX 136424 +4Lit4Lix4LiV4Lij4Liy 136425 +4LmC4LiI 136426 +2KjZhNin2K8= 136427 +15TXmdeZ16DXlQ== 136428 +INGB0L/QtQ== 136429 +INGB0L/QtdGG0LjQsNC70YzQvdC+ 136430 +IMWbd2lhdGE= 136431 +44KT44Gn44GZ44KI 136432 +2LTYsdmD2Kk= 136433 +IHDFgnl0 136434 +IHNpdHXDqQ== 136435 +INeb15DXnNeU 136436 +16HXkdeo 136437 +IGthxbxk 136438 +IGthxbxkeW0= 136439 +44KS5oyB44Gk 136440 +15zXlNec 136441 +15zXlNec158= 136442 +IHfFgmFz 136443 +IHfFgmFzbmU= 136444 +IHNhxJ9sYW4= 136445 +157Xotec15Q= 136446 +INin2YTYp9mI2YQ= 136447 +7JeQ7ISc64+E 136448 +15DXmdeo15XXpNeU 136449 +2KrZgtmG2YrYqQ== 136450 +2YXYp9im 136451 +2YXYp9im2Kk= 136452 +IGNvbXBhw7HDrWE= 136453 +IHPDvHJlaw== 136454 +IHPDvHJla2xp 136455 +INC40YHQutGD0YE= 136456 +INC40YHQutGD0YHRgdGC0LI= 136457 +IELDvHJnZXI= 136458 +16rXl9eo 136459 +16rXl9eo15XXqg== 136460 +4Lie4Lij4LmJ4Lit4Lih4LiB4Lix4Lia 136461 +2LTZhQ== 136462 +4LiW4Li34Lit4Lin4LmI4Liy 136463 +6L6844KA 136464 +5LyR44G/ 136465 +INin2YTYo9io 136466 +INGB0YLQvtC40LzQvtGB0YLRjA== 136467 +INC/0YDQsNCy0LA= 136468 +bWF5xLFu 136469 +4Lir4Lin4Lii 136470 +INin2YTYt9io2YrYudmK 136471 +4LiX4Li14LmI4Lie4Lix4LiB 136472 +IEVzdMOh 136473 +0YvQstCw0Y7Rgg== 136474 +2KjYs9mK 136475 +2KjYs9mK2Lc= 136476 +INeR16LXkdeo 136477 +5Y+v6IO944Gn44GZ 136478 +INeT15XXnA== 136479 +INeT15XXnNeo 136480 +2YfZjtin 136481 +0LLQvtGA0L7Rgg== 136482 +44Gm44GE44G+44GX44Gf 136483 +4LmC4LiX4Lij4Lio 136484 +4LmC4LiX4Lij4Lio4Lix 136485 +4LmC4LiX4Lij4Lio4Lix4Lie 136486 +4LmC4LiX4Lij4Lio4Lix4Lie4LiX4LmM 136487 +INen16A= 136488 +INin2YTYq9mG 136489 +INin2YTYq9mG2KfYptmK2Kk= 136490 +IGNvw7t0 136491 +4LiV4Li04LiU4LiV4Lix4LmJ4LiH 136492 +IMO2cmc= 136493 +IMO2cmfDvHQ= 136494 +INin2YTYrtmE2Yo= 136495 +INin2YTYrtmE2YrYrA== 136496 +IGLhu41u 136497 +15XXnNeV15LXmQ== 136498 +656c 136499 +INCR0L7Qu9GM 136500 +INCR0L7Qu9GM0Yg= 136501 +15LXkdeo15nXnQ== 136502 +2YLZitiv 136503 +15HXmdeY15XXmQ== 136504 +5omT44Gh 136505 +IG9sbXXFnw== 136506 +ZsOkaA== 136507 +ZsOkaGln 136508 +4Lil4Liy4LiZ 136509 +INmC2LfYsQ== 136510 +16nXpNeU 136511 +6Kqt44KT44Gn 136512 +4LiC4Lin4Liy 136513 +IGNoaeG6v20= 136514 +44Kk44Oz44K/ 136515 +44Kk44Oz44K/44O844M= 136516 +44Kk44Oz44K/44O844ON 136517 +44Kk44Oz44K/44O844ON44OD44OI 136518 +INec16nXnteV16g= 136519 +INiq2LHZgw== 136520 +INiq2LHZg9mK2Kc= 136521 +16jXldeY 136522 +44Go5oCd44GE44G+44GX44Gf 136523 +INin2YTYqtmC 136524 +IGTGsA== 136525 +44Gm44GP44KM44KL 136526 +44GX44Gf44GT44Go 136527 +IHLDs8W8bmU= 136528 +INin2YTYt9mB2YQ= 136529 +IFBvc3TDqQ== 136530 +INee16nXlded 136531 +0Y3RgA== 136532 +INGA0LDQsdC+0YLQsNC10YI= 136533 +44K344Oq 136534 +44K344Oq44O844K6 136535 +INeR15TXl9ec15g= 136536 +16fXlNeZ15zXlA== 136537 +44Kr44Oh 136538 +44Kr44Oh44Op 136539 +77yv 136540 +IOyCrOydtA== 136541 +IGvDrA== 136542 +IHRoxrDhu5tj 136543 +2LbYqNi3 136544 +2YLYqNmI2YQ= 136545 +5Yil44Gu 136546 +IHBhcnRpY3VsacOocmU= 136547 +INGB0LLQvtC10Lw= 136548 +INei16HXpw== 136549 +INei16HXp9eZ150= 136550 +15HXl9eZ16jXldeq 136551 +15HXmdeg15U= 136552 +4LiL4Lit 136553 +INei15XXkdeo 136554 +44Gg44Gj44Gf44Gu44Gn 136555 +xLFsZMSxxJ/EsQ== 136556 +2YXYr9in2LE= 136557 +2YXYr9in2LHYsw== 136558 +7KO87Iuc 136559 +4Lit4Liy4Lio 136560 +4Lit4Liy4Lio4Lix4Lii 136561 +IHThuqVt 136562 +4Lie4Li04LiI 136563 +4Lie4Li04LiI4Liy4Lij 136564 +4Lie4Li04LiI4Liy4Lij4LiT4Liy 136565 +0YLQtdC70YzQvdGL0LU= 136566 +0YHQutGD0Y4= 136567 +0JzQmA== 136568 +4LmA4LiB4Liy 136569 +4LmA4LiB4Liy4Lir4Lil 136570 +4LmA4LiB4Liy4Lir4Lil4Li1 136571 +15PXlw== 136572 +4LmA4LiK4Li04LiH 136573 +INiv2YLZitmC2Kk= 136574 +7ZWZ7IOd 136575 +INep15DXnNeU 136576 +IGNvbnRyw7RsZQ== 136577 +IHNpdHVhw6fDo28= 136578 +4LiC4Lit4LiH4Lic4Li54LmJ 136579 +2YbYt9mC 136580 +6rO87ZWZ 136581 +4Lir4Lil4Liy4Lii4LiE4LiZ 136582 +IG7huq9uZw== 136583 +2YLZjw== 136584 +7KGw6rG0 136585 +0ZU= 136586 +44OD44Go 136587 +157Xmdec15Q= 136588 +R3LDvG4= 136589 +15nXmdei 136590 +15nXmdei15XXpQ== 136591 +157XoNeb 136592 +662Q 136593 +157Xotee15M= 136594 +4Liq4Liz4LiZ4Lix4LiB 136595 +2KzYr9iv 136596 +4LiE4Lix4LiU 136597 +INeU157Xqdek 136598 +INeU157Xqdek15fXlA== 136599 +157Xqden15w= 136600 +2YTZjw== 136601 +IHR5dHU= 136602 +IHR5dHXFgg== 136603 +0YjQtdC5 136604 +IOydvOu2gA== 136605 +0YjQtdC90LjQtQ== 136606 +IHBow7NuZw== 136607 +IOyXreyCrA== 136608 +44Kr44Oz 136609 +IHTDumk= 136610 +INmG2YjZgQ== 136611 +INmG2YjZgdmF2KjYsQ== 136612 +Z3LDvG4= 136613 +INin2YTYtNmF2KfZhA== 136614 +xZt3aWFkYw== 136615 +xZt3aWFkY3plbmll 136616 +16LXqNeU 136617 +INei15XXkQ== 136618 +INei15XXkdeT15nXnQ== 136619 +15PXldeS157XkA== 136620 +5LuK44Gv 136621 +IHbDo28= 136622 +INCi0LXQvA== 136623 +0YHQuNC70Yw= 136624 +IGNo4buj 136625 +2YXYsdin 136626 +2YXYsdin2YLYqA== 136627 +4LmE4Lih4LmI4Lij4Li54LmJ 136628 +INix2KfYpti5 136629 +15DXoNeX16DXlQ== 136630 +4Liq4LmI4LiH4LmA4Liq4Lij4Li04Lih 136631 +16bXlw== 136632 +IOyeiOyWtOyEnA== 136633 +IGt1cnVsdQ== 136634 +IGt1cnVsdcWf 136635 +IMOWemVsbGlr 136636 +IMOWemVsbGlrbGU= 136637 +INeq15nXpw== 136638 +IGdow6k= 136639 +IHNwcnrEmQ== 136640 +IHNwcnrEmXQ= 136641 +16LXqNeV16o= 136642 +2LHYp9it2Kk= 136643 +44Gj44GN 136644 +44Gj44GN44KK 136645 +IOyVhOuemA== 136646 +c3RpdHVpw6fDo28= 136647 +INC00L7Qu9C20L3Qvg== 136648 +15TXqNep 136649 +15TXqNep157XlA== 136650 +15TXnNea 136651 +44Gh44Gq 136652 +44Gh44Gq44G/ 136653 +44Gh44Gq44G/44Gr 136654 +16TXl9eT 136655 +INin2YTYrNmF2YrYuQ== 136656 +15HXotec15k= 136657 +IHRyw7luZw== 136658 +INek16rXlw== 136659 +157XnNeX157Xqg== 136660 +44OG44O844M= 136661 +44OG44O844Oe 136662 +2YXYqtin2Kg= 136663 +2YXYqtin2KjYudip 136664 +IOuqqOyKtQ== 136665 +2YrYtQ== 136666 +5ZCI44GG 136667 +IFlhcA== 136668 +IFlhcMSx 136669 +INGB0LrQsNC30LDRgtGM 136670 +66qw 136671 +4LiX4Li14LmI4Liq4Liz4LiE4Lix4LiN 136672 +IOyXhuyKteuLiOuLpA== 136673 +IG5o4bqvYw== 136674 +IMO8bGtlbGVy 136675 +INC80L3QvtCz0LjQtQ== 136676 +7ZWY7IWo 136677 +4Lih4Liy4LiB4LiX4Li14LmI4Liq4Li44LiU 136678 +4LiB4LmJ4Liy 136679 +4LiB4LmJ4Liy4Lin 136680 +IMSweWk= 136681 +0LvQtdC2 136682 +0LvQtdC20LA= 136683 +44K444On 136684 +4LiX4Lix4Lie 136685 +2KfZiNix 136686 +INeX15HXqNeZ 136687 +INec16nXnQ== 136688 +7LKr 136689 +IFThu60= 136690 +157Xldeg15k= 136691 +2YLZiNiv 136692 +4LiB4Lij4Liw4LmA4Lib 136693 +4LiB4Lij4Liw4LmA4Lib4LmL 136694 +4LiB4Lij4Liw4LmA4Lib4LmL4Liy 136695 +INC/0YDQvtCx0LvQtdC80Ys= 136696 +IGHDp8Sxcw== 136697 +IGHDp8Sxc8SxbmRhbg== 136698 +INeU157Xmw== 136699 +INmF2LnYuNmF 136700 +2YLZitin2LM= 136701 +INC/0YDQvtC00L7Qu9C2 136702 +INC/0YDQvtC00L7Qu9C20LA= 136703 +IHZlcmRpxJ9p 136704 +INC/0YDQtdC00LzQtdGC 136705 +44GE44G+44GZ44GM 136706 +IOuUsOuluA== 136707 +INin2YTZgtmK2KfZhQ== 136708 +INil2YTZitmH2Kc= 136709 +0KLQkA== 136710 +0L/QvtC3 136711 +44K344Ol 136712 +5LiK44GM44KK 136713 +4LmA4LiU4Li04Lih4Lie4Lix4LiZ 136714 +4LiB4Li44Lil 136715 +2K3YsdmK2Kk= 136716 +16fXkdeV16bXldeq 136717 +66+/ 136718 +INin2YTZhdmG2Kc= 136719 +INin2YTZhdmG2KfYt9mC 136720 +INCy0YvQv9C+0Ls= 136721 +INCy0YvQv9C+0LvQvdGP 136722 +44OL44Ki 136723 +IOqysOq1rQ== 136724 +15fXldee 136725 +15fXldee16jXmded 136726 +INCj0LrRgNCw0LjQvdGL 136727 +4Lir4Lit4Lih 136728 +16jXmdeh 136729 +INGF0L7RgtC10Ls= 136730 +INC+0LHRgNCw0LfQvtCy0LDQvdC40Y8= 136731 +IGto4bqzbmc= 136732 +IG3GsGE= 136733 +IGfDtnJtZQ== 136734 +IGfDvMOnbMO8 136735 +2LPYudmJ 136736 +4Lih4Lix4LmI4LiZ4LmD4LiI 136737 +7ZWY6rKg7Iq164uI64uk 136738 +INC/0L7Qu9GD 136739 +IGbDvG5m 136740 +44Go5oCd44Gj44Gm44GE44G+44GZ 136741 +IOq3uOqyg+ydgA== 136742 +IGTDvMWfw7xuY2U= 136743 +7J6g 136744 +IEjGsOG7m25n 136745 +IFRp4buDdQ== 136746 +IMOnaWZ0 136747 +44GR44Gw 136748 +4LiI4LiZ4LiW4Li24LiH 136749 +4LiX4Liz4LmE4LiU4LmJ 136750 +IOyekOyytA== 136751 +IGTDtQ== 136752 +IGTDtWk= 136753 +4LiI4Lix4LiZ 136754 +4LiI4Lix4LiZ4LiX 136755 +4LiI4Lix4LiZ4LiX4Lij4LmM 136756 +ZWNlxJ9pbmk= 136757 +16DXldei16g= 136758 +2LrYp9ix 136759 +INin2YTYo9mF2LHZitmD2Yo= 136760 +2K/Yp9i52LQ= 136761 +INCx0LXQt9C+0L/QsNGB0L3QvtGB0YLQuA== 136762 +INCx0Y4= 136763 +INCx0Y7QtNC2 136764 +INCx0Y7QtNC20LXRgg== 136765 +44OK44Kk 136766 +4Lie4Lia4Lin4LmI4Liy 136767 +ZGHEnw== 136768 +15DXldek158= 136769 +7ZeM 136770 +44OA44Kk44Ko 136771 +44OA44Kk44Ko44OD44OI 136772 +IOuMgO2GtQ== 136773 +IOuMgO2GteuguQ== 136774 +RMSw 136775 +2KPYrdiv2KfYqw== 136776 +IEHEnw== 136777 +IEHEn3VzdA== 136778 +IEHEn3VzdG9z 136779 +2K3ZhNmI2YQ= 136780 +IHfFmw== 136781 +IHfFm3LDs2Q= 136782 +INGB0L7QvtGC0LLQtdGC 136783 +INGB0L7QvtGC0LLQtdGC0YHRgtCy 136784 +INGB0L7QvtGC0LLQtdGC0YHRgtCy0LjQuA== 136785 +IEx14bqtdA== 136786 +INeb15zXpNeZ 136787 +INCy0LXRiQ== 136788 +INCy0LXRidC10YHRgtCy 136789 +16fXmdel 136790 +INio2YfYsNin 136791 +2LnYp9i0 136792 +4LmA4Lib4LmH4LiZ4LmA4Lij4Li34LmI4Lit4LiH 136793 +0KLQlQ== 136794 +INeR15DXmdeg15jXqNeg15g= 136795 +2LPYudiv 136796 +INeU15jXmdek15XXnA== 136797 +16TXmdeh 136798 +4LiH4LmI4Liy4Lii4LmG 136799 +IEdlcsOkdA== 136800 +15zXmdeT15Q= 136801 +INGA0LjRgdC6 136802 +15zXp9eX 136803 +0L3QvdCw0Y8= 136804 +16jXmdeT 136805 +0L/RgNCw0LrRgtC4 136806 +0L/RgNCw0LrRgtC40Lo= 136807 +4LiC4Lix4LmJ4LiZ4LiV4Lit4LiZ 136808 +4LiZ4LmI4Liy4Lij4Lix4LiB 136809 +bGFyxLFuxLF6xLE= 136810 +4Lit4LiZ4Li44LiN4Liy 136811 +4Lit4LiZ4Li44LiN4Liy4LiV 136812 +IHpkasSZY2lh 136813 +IGLDonk= 136814 +0YHRgA== 136815 +0YHRgNC+0Yc= 136816 +44OL44Oz44Kw 136817 +IMO2bmVy 136818 +IMO2bmVyaQ== 136819 +INC90L7QstGL0YU= 136820 +2K/YudmI2Kk= 136821 +IGfhuq9u 136822 +INin2YTZhNio2YY= 136823 +INin2YTZhNio2YbYp9mG2Yo= 136824 +44OG44Kj44O8 136825 +INi12K3Zitit 136826 +0LXQvNGL0YU= 136827 +55ay44KM 136828 +INC/0YDQvtC40YE= 136829 +INC/0YDQvtC40YHRhdC+0LTQuNGC 136830 +4Liq4LiV4Li0 136831 +IFThur90 136832 +INeU15zXnNeV 136833 +4LmA4Lij4Li34LmI4Lit4LiH4LiZ4Li14LmJ 136834 +157Xkdeg15Q= 136835 +IGNvbnRlw7pkbw== 136836 +INin2K7Yqg== 136837 +INin2K7YqtmK2KfYsQ== 136838 +2YXYs9mE 136839 +2YXYs9mE2LPZhA== 136840 +64+I 136841 +INec15nXkw== 136842 +4Lie4Li04LiY4Li1 136843 +INGB0L7QstGB 136844 +INGB0L7QstGB0LXQvA== 136845 +44GM44GC44KK44G+44GX44Gf 136846 +IHPDs25n 136847 +2KXYtdmE2KfYrQ== 136848 +66eB 136849 +2YHZitix 136850 +IEplxbxlbGk= 136851 +7KCc64+E 136852 +ZMWCdWc= 136853 +7IOB7J2E 136854 +IGPhuq1u 136855 +IGjhu41w 136856 +2KPYs9iq 136857 +2KPYs9iq2KfYsA== 136858 +INee15nXqdeU 136859 +INee15nXqdeU15U= 136860 +IGTDoHk= 136861 +IGNow6BuZw== 136862 +44Gh44KD44KT44Go 136863 +IMSRw6Ft 136864 +IHN3w7Nq 136865 +IHBvZGVyw6E= 136866 +INC+0YLQu9C40YfQsA== 136867 +IHDDqXJpb2Rl 136868 +w7xuZGln 136869 +15jXotef 136870 +0YHRgtGA0L7QuNGC0LXQu9GM 136871 +16jXqteZ 136872 +INeZ15TXmdeV 136873 +15zXoQ== 136874 +INin2YTZhdmG2LLZhA== 136875 +4LiZ4Li04LmJ4Lin 136876 +0LjRhNC40LrQsA== 136877 +0LjRhNC40LrQsNGG0Lg= 136878 +8J+YiQ== 136879 +IGFkxLFuYQ== 136880 +44CC44CC44CC 136881 +15DXmdef 136882 +16HXmdeo 136883 +INmK2LnYrw== 136884 +562U44GI 136885 +2KfZhNis2LI= 136886 +2KfZhNis2LLYp9im2LE= 136887 +0LXQvdGM0Lo= 136888 +4Lij4Lir 136889 +4Lij4Lir4Lix4Liq 136890 +IFTDvHJrw6dl 136891 +6r64 136892 +INeZ15XXm9ec 136893 +INep15XXoNeU 136894 +INeR157XpteR 136895 +INC00LXQudGB0YLQstC40YLQtdC70YzQvdC+ 136896 +INio2KPZhtmH 136897 +157Xp9eT 136898 +INeU16nXpw== 136899 +2K7Zitin2LHYp9iq 136900 +IGbEsQ== 136901 +IGbEsXJz 136902 +IGbEsXJzYXQ= 136903 +65GY 136904 +IOyEnOyauA== 136905 +INeU15LXldej 136906 +2LHYudin 136907 +2LHYudin2YrYqQ== 136908 +IEvhur90 136909 +0LrRgdC4 136910 +INGD0YHQu9GD0LPQuA== 136911 +0L3QvtGB0YLQtdC5 136912 +7Jq064+Z 136913 +INC+0LHRitGP 136914 +INC+0LHRitGP0LLQuw== 136915 +0L3QtdC2 136916 +15TXpNea 136917 +INeR16LXmdeg15k= 136918 +64aS 136919 +INC/0YDQvtGG0LXQtA== 136920 +INC/0YDQvtGG0LXQtNGD0YA= 136921 +IGlodGl5 136922 +IGlodGl5YWPEsQ== 136923 +IOuwlOuejQ== 136924 +IOuwlOuejeuLiOuLpA== 136925 +4LiB4Lil4Lix4Lin 136926 +INGB0LvQvtC20L3Qvg== 136927 +16fXmdeZ157Xqg== 136928 +IMSQw6xuaA== 136929 +INmF2YTZgQ== 136930 +IOC5guC4lOC4ouC4oeC4tQ== 136931 +IGthdGvEsQ== 136932 +2KrYrdmI2YrZhA== 136933 +4LmE4Lie 136934 +IEjhu40= 136935 +w7Fl 136936 +INC00L7RhdC+0LQ= 136937 +IHRob+G6o2k= 136938 +7ZWY7Jes7JW8 136939 +44K544Od44O844M= 136940 +44K544Od44O844OE 136941 +IEfDsm4= 136942 +IGvDqA== 136943 +IGvDqG0= 136944 +6YCy44KB 136945 +44K544O844M= 136946 +44K544O844OR 136947 +44K544O844OR44O8 136948 +IGdpw6B1 136949 +INil2LnYp9iv2Kk= 136950 +INec15XXpw== 136951 +INec15XXp9eX 136952 +INGF0L7Rh9C10YI= 136953 +15jXnNeV15U= 136954 +15jXnNeV15XXmdeW 136955 +15jXnNeV15XXmdeW15nXlA== 136956 +IHRodXnhur90 136957 +44Gd44KM44Gn 136958 +IHZhcmTEsQ== 136959 +4LmE4Lij4LmJ 136960 +2LnYqNiv 136961 +IFJlcMO6YmxpY2E= 136962 +44O844K/44O8 136963 +INee15DXldeq 136964 +4LmE4Lib4LmB4Lil4LmJ4Lin 136965 +IHlhcMSxbGFjYWs= 136966 +44K544K/44O844OI 136967 +44G744G8 136968 +IGtvxZ8= 136969 +INC80LDRgtC10YDQuA== 136970 +IHNpw6hjbGU= 136971 +INin2YTZhdiu2KrZhNmB 136972 +INin2YTZhdiu2KrZhNmB2Kk= 136973 +INec16fXqNeQ 136974 +INec16fXqNeQ16o= 136975 +INeU16TXldei15w= 136976 +IHTDsmE= 136977 +IHLGoWk= 136978 +5ZGo44KK 136979 +4Lid4LiZ 136980 +asWbxIc= 136981 +IOyViuydhA== 136982 +2KfZhtiq2YLYp9mE 136983 +65ag 136984 +0LjQstCw0LXRgg== 136985 +44OI44Or 136986 +INin2YTZgdmE2LPYt9mK2YbZitip 136987 +4LiB4Lil4LmI4Liy4Lin4Lin4LmI4Liy 136988 +2KfZg9iq 136989 +IMOWbA== 136990 +INGA0LXRiNC4 136991 +INGA0LXRiNC40Ls= 136992 +INeg15XXodek15XXqg== 136993 +IOygley5mA== 136994 +0LLQu9C10YfQtdC9 136995 +2YXYsdit2YTYqQ== 136996 +IGNvbWXDp2E= 136997 +IHnEsWs= 136998 +7IK0 136999 +4LiY4LiZ4Liy 137000 +4LiY4LiZ4Liy4LiE4Liy4Lij 137001 +4Lit4LiZ4Liy 137002 +4Lit4LiZ4Liy4LiE 137003 +4Lit4LiZ4Liy4LiE4LiV 137004 +IHBlcXVlw7Fh 137005 +5LuV5LqL44KS 137006 +INio2LDZhNmD 137007 +INC90L7QstC+0LPQvg== 137008 +44GX44Gm44GE44Gq44GE 137009 +INin2YTZhdmK2KfZhw== 137010 +4LiB4LmH4LmA4Lib4LmH4LiZ 137011 +INC20YPRgA== 137012 +INC20YPRgNC90LDQuw== 137013 +0LLQtdGB 137014 +2K7Yqtin2LE= 137015 +IOunpOyasA== 137016 +IE3Dow== 137017 +INCw0LLRgtC+0LzQsNGC0Ys= 137018 +2LbYudmB 137019 +INin2YTZgdmD2LE= 137020 +44Gn44GZ44Gu44Gn 137021 +44Oh44Oz44OQ44O8 137022 +INC60YDRg9Cz 137023 +INin2YTYs9mE2LfYqQ== 137024 +4LiE4Lij4Lix4LmJ4LiH4LmB4Lij4LiB 137025 +4LiB4Lij4Liw4LiX4Lij4Lin 137026 +4LiB4Lij4Liw4LiX4Lij4Lin4LiH 137027 +0YbQvtCy 137028 +6ZW344GE 137029 +5aSn44GN44GE 137030 +IGdlw6dtacWf 137031 +7ISx7J20 137032 +INem16jXmdeb15Q= 137033 +INC80L7RiQ== 137034 +INC80L7RidC9 137035 +INen15nXqQ== 137036 +INen15nXqdeV16jXmded 137037 +IE5hc8SxbA== 137038 +0LPRgNCw0L0= 137039 +INee15XXpteo15nXnQ== 137040 +INee16HXldeS 137041 +IHnDvHI= 137042 +IHnDvHLDvHQ= 137043 +INec15fXpteV 137044 +15XWvA== 137045 +IOyeiOyXiOuLpA== 137046 +IHRlcsO2cg== 137047 +IFRoxrDGoW5n 137048 +INmI2YrZhQ== 137049 +INmI2YrZhdmD2YY= 137050 +2KzZiNmG 137051 +INmI2LrZitix2YfYpw== 137052 +157XpNeV 137053 +15LXldeo157Xmded 137054 +15vXkdeZ16k= 137055 +INin2YTZhNi6 137056 +INin2YTZhNi62Kk= 137057 +2LTYsdmD 137058 +INin2YTYsdin2Kg= 137059 +INin2YTYsdin2KjYuQ== 137060 +INC/0YDQtdC6 137061 +INC/0YDQtdC60YDQsNGB 137062 +INC/0YDQtdC60YDQsNGB0L0= 137063 +IGVuZXJnw61h 137064 +16fXk9ee15k= 137065 +44GP44Gq44Gj44Gf 137066 +IMSR4bup 137067 +IMSR4bupYQ== 137068 +U2Vydmk= 137069 +U2VydmnDp28= 137070 +IGthbGTEsXI= 137071 +5YON44GN 137072 +INC+0LTQtdC2 137073 +INC+0LTQtdC20LQ= 137074 +66y87J2E 137075 +44Gd44GG44Gn 137076 +44GM44GC44KM44Gw 137077 +7JmV 137078 +16bXk9en 137079 +IGFydMSxcg== 137080 +IGlsZXRp 137081 +IGlsZXRpxZ9pbQ== 137082 +44KI44GG44Gn 137083 +44OI44O8 137084 +44Ki44OL 137085 +44Ki44OL44Oh 137086 +15jXmdeZ15w= 137087 +44OV44Oq44O8 137088 +44Od44Oz 137089 +0J/RgNC+ 137090 +INi52KfZhNmK2Kk= 137091 +IMO2xJ9yZXQ= 137092 +IMO2xJ9yZXRtZW4= 137093 +INC60LDRh9C10YHRgtCy0LA= 137094 +INeU15jXkdei 137095 +INC30L3QsNGO 137096 +44Gm44GP44KL 137097 +IG3hu6tuZw== 137098 +2YXZiNiq 137099 +16nXldee16g= 137100 +15fXnNeR 137101 +IHd6Z2zEmQ== 137102 +IHd6Z2zEmWR1 137103 +67KI7Ke4 137104 +IHThu5M= 137105 +IHThu5Nu 137106 +44Ov44O844Kv 137107 +IHBvxbx5Y3o= 137108 +IHBvxbx5Y3pr 137109 +15nXldem16jXmded 137110 +2YPYsdmF 137111 +INCz0LDRgA== 137112 +INCz0LDRgNCw0L0= 137113 +INCz0LDRgNCw0L3RgtC4 137114 +4Lil4LmJ4Liy4LiH 137115 +IOyYge2ZlA== 137116 +15jXmdeh 137117 +IHRo4bq7 137118 +IOyeiOuLpOqzoA== 137119 +2KfZhNiq2LI= 137120 +2KfZhNiq2LLYp9mF 137121 +INC90LDRiNC4 137122 +aXPDqWU= 137123 +44GT44KM44KS 137124 +IG3hur0= 137125 +2LbZhA== 137126 +2KjZiNiq 137127 +INeb15vXlA== 137128 +aOG7nw== 137129 +INin2YTYs9mI2LHZitip 137130 +INec16LXldee 137131 +INec16LXldee16o= 137132 +IGJhxZ9hcg== 137133 +IGJhxZ9hcsSxbMSx 137134 +0LXRgdGC0Yw= 137135 +4LiE4Lij4Li1 137136 +4LiE4Lij4Li14Lih 137137 +IOyghOyytA== 137138 +INiz2YrZg9mI2YY= 137139 +INee15PXldei 137140 +IOuVjOusuOydtOuLpA== 137141 +IGPhu6luZw== 137142 +Z2Vyw6R0 137143 +INC80LjRgA== 137144 +INC80LjRgNC1 137145 +INmD2YrZgdmK2Kk= 137146 +INek16jXmNeZ150= 137147 +IGdvxZtjaQ== 137148 +0LjRgtC10YHRjA== 137149 +0YPRiNC60Lg= 137150 +2KTZhdmG 137151 +INeQ15vXnw== 137152 +INin2YTYsdis2YQ= 137153 +IGzhu41j 137154 +4LmA4Lij4Li14Lii4LiB4Lin4LmI4Liy 137155 +44GT44Gu44KI44GG44Gq 137156 +66eM7YG8 137157 +INC/0LXRhw== 137158 +2YjZhNin2Ko= 137159 +IMOceWU= 137160 +bGnEn2luZGU= 137161 +4LiE4Liw4LmB4LiZ 137162 +4LiE4Liw4LmB4LiZ4LiZ 137163 +44KL44GT44Go44Gv 137164 +4Lin4Li04LmA4LiE4Lij 137165 +4Lin4Li04LmA4LiE4Lij4Liy4Liw 137166 +4Lin4Li04LmA4LiE4Lij4Liy4Liw4Lir4LmM 137167 +INCy0L7Qt9C80L7QttC90L7RgdGC0Lg= 137168 +INin2YTZhtiz2KfYoQ== 137169 +44OJ44Op44Oe 137170 +IGfDvGM= 137171 +IGfDvGPDvA== 137172 +IHTGsOG7nW5n 137173 +IGFjb21wYcOxYQ== 137174 +44Kk44Op 137175 +16fXpteR 137176 +IFnDtg== 137177 +IFnDtm5ldA== 137178 +IFnDtm5ldGlt 137179 +4Liq4Lix4Lih4Lic 137180 +4Liq4Lix4Lih4Lic4Lix4Liq 137181 +4LiZ4Liy4Lih 137182 +IMSR4bujaQ== 137183 +4LmB4Lir4LmI4LiH4LiK4Liy4LiV4Li0 137184 +44Gd44KM44Gn44KC 137185 +w6R0aWc= 137186 +16rXlded 137187 +IGJhxZ9sYXQ= 137188 +INCy0YHQtdC5 137189 +16rXmden 137190 +16rXmden15XXnw== 137191 +IE5nw7Q= 137192 +IEdlc2Now6Q= 137193 +IEdlc2Now6RmdHM= 137194 +2KPZhQ== 137195 +2KPZhdix2KfYtg== 137196 +4LmA4LiX4LiE4LiZ 137197 +4LmA4LiX4LiE4LiZ4Li0 137198 +4LmA4LiX4LiE4LiZ4Li04LiE 137199 +INC80LXQvdGM 137200 +INC80LXQvdGM0YjQtQ== 137201 +IMO2bMOn 137202 +IMO2bMOnw7w= 137203 +INmK2KzYudmE 137204 +IMSR4buh 137205 +16nXmdec 137206 +16nXmdec15XXkQ== 137207 +IEdyw7bDn2U= 137208 +INmH2KfYqtmB 137209 +4Lij4LmJ4Liy4LiZ4Lit4Liy4Lir4Liy4Lij 137210 +15TXnNeZ15s= 137211 +15TXnNeZ15vXmQ== 137212 +0LjRgNGD0Y7RiQ== 137213 +6Iul44GE 137214 +IMOWemVs 137215 +44GE44Gf44KJ 137216 +4LiE4Liz4LiW4Liy4Lih 137217 +IHpvc3RhxYJ5 137218 +INeU16HXmdek15XXqA== 137219 +15TXldec 137220 +15TXldec15o= 137221 +4LmA4LiK4LmI4LiZ4LiB4Lix4LiZ 137222 +4LmC4LiG 137223 +4LmC4LiG4Lip 137224 +4LmC4LiG4Lip4LiT4Liy 137225 +15DXqNem15XXqg== 137226 +15LXqNek15k= 137227 +IGFvw7t0 137228 +INmK2LHZitiv 137229 +2KrZiNis 137230 +2KrZiNis2YrZhw== 137231 +INGN0YLQsNC/ 137232 +44K544K/44Oz 137233 +IGtyw7M= 137234 +IGtyw7N0aw== 137235 +44KS5L2/44GG 137236 +7Leo 137237 +6Zai44KP 137238 +4LiU4LmJ4Lin4Lii4LiE4Lin4Liy4Lih 137239 +4LiZ4Liz4LmA4Liq4LiZ4Lit 137240 +IGF5csSxY2E= 137241 +4LiI4LmJ4Liy4LiH 137242 +INGE0L7RgtC+0LPRgNCw0YQ= 137243 +INCy0LXRhw== 137244 +INCy0LXRh9C10YA= 137245 +5Ye644GX44Gf 137246 +INCl0L4= 137247 +INee16jXkteZ16k= 137248 +4LmD4Lir4LmJ4LmA4Lib4LmH4LiZ 137249 +44KS55uu 137250 +44KS55uu5oyH 137251 +15zXnteZ150= 137252 +bsSFxYI= 137253 +INGB0YLQsNC90LQ= 137254 +INGB0YLQsNC90LTQsNGA0YI= 137255 +IFPDvGQ= 137256 +IFTDom0= 137257 +2KfYrtiq2KjYp9ix 137258 +4LmA4LiB4Lit4Lij4LmM 137259 +2YXYs9ix2K0= 137260 +IGJp4buHbg== 137261 +2KjZjw== 137262 +INi12KfZhA== 137263 +INi12KfZhNit 137264 +IFBo4bul 137265 +7Zy0 137266 +44Os44OT44Ol44O8 137267 +IGLhu6VuZw== 137268 +IHLDqWdpbWU= 137269 +INij2LTZh9ix 137270 +INGA0LDQsdC+0YLQvdC40Lo= 137271 +4Lid4Lix4LiZ 137272 +2KfYudiq2YU= 137273 +2KfYudiq2YXYp9iv 137274 +INC30LDQvNC10YI= 137275 +44G+44Gj44Gm 137276 +IGNo4bq3dA== 137277 +5p2l44KL 137278 +INin2YTZgtmI2KfYqg== 137279 +44Gr5YWl44Gj44Gm 137280 +2KrYrdin2YTZgQ== 137281 +2YXYstmK2K8= 137282 +INmK2LXZhA== 137283 +7Je8 137284 +4LmA4LiK4LmH 137285 +4LmA4LiK4LmH4LiE 137286 +IGvhu4s= 137287 +IGvhu4tw 137288 +IOyVhOyngQ== 137289 +15DXoNeS 137290 +INC+0LHQu9Cw0YHRgtGM 137291 +IHBvbW9jxIU= 137292 +INeV16nXnA== 137293 +65Og7KeA 137294 +IEdpw6Ft 137295 +IFN0w7xjaw== 137296 +IGNow6F5 137297 +IOuCmOyYpA== 137298 +16nXmdeY16o= 137299 +157Xk9eo 137300 +157Xk9eo15nXmg== 137301 +IHPDvHJlw6c= 137302 +0LrQstCw 137303 +15HXnNeZ150= 137304 +15TXqteZ 137305 +15TXqteZ15nXl9eh 137306 +2YLYqNin2YQ= 137307 +INeh15XXkg== 137308 +INeh15XXkteZ 137309 +0YHRgtC+0LvRjA== 137310 +5L2V44KC 137311 +15bXm9eV16g= 137312 +6LK344GG 137313 +5a6J44GP 137314 +4LiE4Lij4Lix4LmJ4LiH4LiZ4Li14LmJ 137315 +a8O2cA== 137316 +INGB0LXRgNCy0LjRgQ== 137317 +0L7Rh9C90YvRhQ== 137318 +6rGw656Y 137319 +2KrYo9mD 137320 +2KrYo9mD2YrYrw== 137321 +15PXnNen 137322 +INC/0L7Rh9C10Lw= 137323 +INC/0L7Rh9C10LzRgw== 137324 +0L/QuNGB0LDRgtGM 137325 +15HXqdeo 137326 +IEjDoG5n 137327 +IFTDrG0= 137328 +IHRy4bur 137329 +44K744OD44Kv44K5 137330 +15XXoNeS 137331 +bcSxemRh 137332 +0L/RgdC4 137333 +IOyeiOq4sA== 137334 +IHLDunQ= 137335 +2LLYp9mG 137336 +2KrZhtmI2Lk= 137337 +2YXZgtin 137338 +2YXZgtin2YjZhdip 137339 +INec16bXldeo15o= 137340 +INeR15nXqNeV16nXnNeZ150= 137341 +44O044Kj 137342 +ZWJpbGU= 137343 +ZWJpbGVjZcSfaQ== 137344 +44Om44O844I= 137345 +44Om44O844K2 137346 +44Om44O844K244O8 137347 +44KS5L2c44KL 137348 +0YHQvNC10YA= 137349 +0YHQvNC10YDRgg== 137350 +IOyngQ== 137351 +IOyngeygkQ== 137352 +INCf0LDRgA== 137353 +2K3Yp9i2 137354 +2K3Yp9i22LE= 137355 +2YXZg9in2YE= 137356 +2YXZg9in2YHYrdip 137357 +4Lil4Li04LiZ 137358 +44Gm44GN44Gm 137359 +0YDQvtGB0Ls= 137360 +IMSwxZ90ZQ== 137361 +2YLYtdmK2LE= 137362 +INeR15LXmdec 137363 +INee16rXkNeZ150= 137364 +INeU15fXkw== 137365 +INeU15fXk9ep15Q= 137366 +16jXldei 137367 +IHByb2R1a3TDs3c= 137368 +INmF2LXYr9ix 137369 +0L3QtdGG 137370 +INin2YTYudmF2YTYp9iq 137371 +IMOnxLFrbWE= 137372 +INiv2KjZig== 137373 +16fXmdef 137374 +16rXkNeo 137375 +16rXkNeo15nXmg== 137376 +16DXmdeZ15M= 137377 +2LXYsdin2Lk= 137378 +bMOodmU= 137379 +16bXmdeo 137380 +4LiU4Lix4LiZ 137381 +4LmD4Lir4LmJ4LmE4LiU4LmJ 137382 +44K/44Kk44Og 137383 +IGdp4bqjbmc= 137384 +0KHQnw== 137385 +INin2YTZhdit2YQ= 137386 +INin2YTZhdit2YTZitip 137387 +IFThuqV0 137388 +15zXldeY 137389 +aOG7lQ== 137390 +IGFtw6lyaWM= 137391 +IGFtw6lyaWNhaW4= 137392 +INeR16nXnNeR 137393 +INec15DXldee15k= 137394 +IHBlw6dh 137395 +INGA0LDQt9C90YvRhQ== 137396 +44GE44KL44Go 137397 +44OH44Oz 137398 +16HXp9eo 137399 +INeU157Xl9eZ16g= 137400 +44Go44GE44GG44KC44Gu 137401 +2LHYqtio2Lc= 137402 +INC40YHRgtC+0Yc= 137403 +INC40YHRgtC+0YfQvdC40Lo= 137404 +4Liq4Lih4Lix4LiE4Lij4Liq4Lih4Liy4LiK4Li04LiB 137405 +IOC4l+C4seC5ieC4hw== 137406 +IOC4l+C4seC5ieC4h+C4meC4teC5iQ== 137407 +IFThuq1w 137408 +44Gj44Gm44GE44GG 137409 +INin2YTZiNi12YjZhA== 137410 +IGTDqWNhZGE= 137411 +INC+0YTQvtGA0Lw= 137412 +INC+0YTQvtGA0LzQu9C10L0= 137413 +4Liq4Liz4Lir4Lij4Lix4Lia4LiB4Liy4Lij 137414 +IG9nw7Nsbg== 137415 +44GG44Gh44Gr 137416 +IHbDoXJpYXM= 137417 +44GZ44GO44KL 137418 +2YjZh9in 137419 +4LmC4Lib4Lij4LiU 137420 +INCg0L7RgdGB0LjRjw== 137421 +5Lq644CF 137422 +44GX44Gm44GN44Gf 137423 +IHPEsXJhc8SxbmRh 137424 +IG5nw7Ru 137425 +2LPZhtip 137426 +2KrZhdiq2Lk= 137427 +157Xm9eR15k= 137428 +IG5o4bqlbg== 137429 +16LXnteZ15M= 137430 +4buo 137431 +0LbQuNGC0Yw= 137432 +44KJ44Gb 137433 +Z3LDoWY= 137434 +Z3LDoWZpY2E= 137435 +INmC2YjZhA== 137436 +INmC2YjZhNmH 137437 +64uo7LK0 137438 +4Lir4LmJ4Liy 137439 +4Lir4LmJ4Liy4Lih 137440 +5L2/44Gj44Gm 137441 +16rXmdeR 137442 +16rXmdeR16o= 137443 +aeG7g3U= 137444 +4LmB4LiK4Lih 137445 +4LmB4LiK4Lih4Lib 137446 +4LmB4LiK4Lih4Lib4LmM 137447 +4bqs 137448 +IOuCmOudvA== 137449 +INmF2KjYp9i02LHYqQ== 137450 +IHRyxINt 137451 +2LPZg9mI 137452 +INin2YTYsNmJ 137453 +IGJpw6c= 137454 +IGJpw6dpbQ== 137455 +2KrYsdin2KzYuQ== 137456 +INC+0LHQtdGB0L8= 137457 +INC+0LHQtdGB0L/QtdGH 137458 +INC+0LHQtdGB0L/QtdGH0LjQstCw 137459 +INCy0L7Qt9C00YPRhQ== 137460 +0YvQstCw0YLRjA== 137461 +2YTYrdmC 137462 +IE3DvGTDvA== 137463 +IE3DvGTDvHJs 137464 +IE3DvGTDvHJsw7zEn8O8 137465 +IHlhcHTEsXI= 137466 +INek16jXoQ== 137467 +INek16jXodeV150= 137468 +2LfZiNix 137469 +0YHRgtCy0L7QstCw0YLRjA== 137470 +7J6l7J2E 137471 +4LiX4Li14LmI4LiU4Li14LiX4Li14LmI4Liq4Li44LiU 137472 +4Lit4Lix4Lil 137473 +0YDRjg== 137474 +2YXYs9iq2YLYqNmE 137475 +0YHQu9GD0Yg= 137476 +0YHQu9GD0YjQsA== 137477 +6KqN44KB 137478 +INec15nXng== 137479 +INec15nXnteV15PXmQ== 137480 +16rXqdeV15E= 137481 +16rXqdeV15HXldeq 137482 +IGdlcsOnZWtsZcWfdGlyaWw= 137483 +INin2YTYp9iq2YHYp9mC 137484 +INGD0YDQvtCy0L3QtQ== 137485 +INGC0YDQsNCy 137486 +INeU157Xldef 137487 +2K3Zgdin2Lg= 137488 +INmF2ZA= 137489 +INmF2ZDZhg== 137490 +INmF2ZDZhtmS 137491 +IGRlbcOhcw== 137492 +157XldeW15nXp9eU 137493 +16nXmdeX15Q= 137494 +IGLDug== 137495 +0LDQu9GM0L3Ri9C8 137496 +44KP44Gf 137497 +44KP44Gf44GX 137498 +INin2YTZhdmI2KfYrw== 137499 +16rXm9eg 137500 +16rXm9eg15XXnw== 137501 +44Ot44OD44Kv 137502 +aGnhur91 137503 +INGD0LzQtQ== 137504 +2YXYrdin2YjZhNip 137505 +15DXldep16g= 137506 +INC60L7QvdC60YPRgA== 137507 +INC60L7QvdC60YPRgNGB 137508 +INee15HXlw== 137509 +INee15HXl9eZ16DXqg== 137510 +IGFubGFt 137511 +IGFubGFtxLE= 137512 +IGxp4buHdA== 137513 +INCy0YXQvtC0 137514 +IEjDrG5o 137515 +INmG2Yo= 137516 +INmG2YrZiNiy 137517 +44K444Oj44O8 137518 +15HXmdel 137519 +0YLQtdC70YzQvdGL0YU= 137520 +4LiX4Li44LiB4Lit4Lii4LmI4Liy4LiH 137521 +IGtpxZ9pbmlu 137522 +2KPZg9ir2LE= 137523 +INC40YHRgtC+0YDQuNC4 137524 +IOuzgO2ZlA== 137525 +16TXnNeh15g= 137526 +16TXnNeh15jXmdeg15k= 137527 +INGB0LXRgg== 137528 +INGB0LXRgtC4 137529 +ZMSxxJ/EsW3EsXo= 137530 +7ZWY64+E66Gd 137531 +15TXqA== 137532 +15TXqNeR15Q= 137533 +44GZ44KL44GT44Go44Gv 137534 +IHBoaeG6v3U= 137535 +2KrYrdiz2YrZhg== 137536 +IMWbcm9k 137537 +IMWbcm9kb3c= 137538 +IMWbcm9kb3dpc2s= 137539 +INGA0LDRgdGF0L7QtA== 137540 +2KjYsdmK2K8= 137541 +INix2Yo= 137542 +INix2YrYp9mE 137543 +INeV15vXmg== 137544 +7KeA7JqU 137545 +15vXnteV 137546 +INei15zXmdeU150= 137547 +ZsOtY2lv 137548 +IGthcmFyxLE= 137549 +dMSxxJ/EsW7EsQ== 137550 +INCh0L7Qsg== 137551 +INCh0L7QstC10YI= 137552 +44GK6YeR44KS 137553 +0LzQtdC20LTRgw== 137554 +0LzQtdC20LTRg9C90LA= 137555 +0LzQtdC20LTRg9C90LDRgNC+0LQ= 137556 +0LzQtdC20LTRg9C90LDRgNC+0LTQvQ== 137557 +IG3hu51p 137558 +INin2YTYpdmK2LE= 137559 +INin2YTYpdmK2LHYp9mG2Yo= 137560 +INin2YTYsdmI2LPZig== 137561 +2LXZhtiv 137562 +2LXZhtiv2YjZgg== 137563 +INin2YTYpdmG2KrYsdmG2Ko= 137564 +IHThuq9t 137565 +INGC0LDQutC+0LPQvg== 137566 +INeR15zXldeS 137567 +IMO8Y3JldHM= 137568 +IMO8Y3JldHNpeg== 137569 +15fXlteZ16g= 137570 +7Ja07JW8 137571 +IFBo4bqnbg== 137572 +77yc 137573 +INeY15HXog== 137574 +INeY15HXoteZ 137575 +15DXnteQ 137576 +2KfZgtmE 137577 +IGNvbmRpw6fDtWVz 137578 +2YLYp9iq2YQ= 137579 +INGA0LXQt9GD0LvRjNGC0LDRgtC1 137580 +INGB0LLQvtC40LzQuA== 137581 +16bXkdeZ16I= 137582 +Z8Opbmk= 137583 +IHplcw== 137584 +IHplc3Bv 137585 +IHplc3BvxYI= 137586 +0YjQuNCy 137587 +INek16jXmNeZ15XXqg== 137588 +2YXYs9iq2LTZgQ== 137589 +2YXYs9iq2LTZgdmJ 137590 +2LTYsdi5 137591 +IGtvxZtjaQ== 137592 +INeU15DXmdeg15jXqNeg15g= 137593 +INCn0LXRgA== 137594 +0L/QvtGH0YI= 137595 +IGFjdGl2aXTDqXM= 137596 +55+l44Gj44Gm 137597 +INeR15bXlA== 137598 +IHnDvHpkZW4= 137599 +44Gq44KK44G+44Gb44KT 137600 +IO2YuQ== 137601 +IO2YueydgA== 137602 +INee16nXoNeU 137603 +INCS0LXRgA== 137604 +INeR15DXldeq15U= 137605 +6Z2i55m9 137606 +6Z2i55m944GE 137607 +2LTYsdit 137608 +Z3LDvG5kZQ== 137609 +2YHYtA== 137610 +2YHYtNmE 137611 +IHPDqWpvdXI= 137612 +67SQ 137613 +IHLDtGxl 137614 +2LTYudin2LE= 137615 +0LXQvNGL0LU= 137616 +INin2YTYrNiz2YU= 137617 +0LDQu9GM0L3QvtC1 137618 +IOyDge2DnA== 137619 +77yk 137620 +66+A66Gc 137621 +INmG2YLYtw== 137622 +INmG2YLYt9ip 137623 +44Gd44GG44Gg 137624 +44GZ44KL44Gu44GM 137625 +4Lir4Li5 137626 +IG5o4buL 137627 +IGVjb27Ds21pY2E= 137628 +16HXmNeV15M= 137629 +16HXmNeV15PXoNeY 137630 +4Lih4Li14LmC4Lit4LiB4Liy4Liq 137631 +IGdlc3TDo28= 137632 +4Lij4Li54LmJ4Lin4LmI4Liy 137633 +IGxv4bqhdA== 137634 +INin2YTZhdmP 137635 +INin2YTYrdmF2YQ= 137636 +INin2YTYudmF2YTZitip 137637 +IOqyg+uPhA== 137638 +INCc0L7RgdC60LLQsA== 137639 +16fXmNeV16g= 137640 +INC/0L7QtNGA0L7QsQ== 137641 +INC/0L7QtNGA0L7QsdC9 137642 +IGzGsG5n 137643 +2KrZgdiz 137644 +2KrZgdiz2YrYsQ== 137645 +INin2YTYqNi5 137646 +INin2YTYqNi52LY= 137647 +2KbYqg== 137648 +0JXQnQ== 137649 +7Jew6rWs 137650 +4LmD4Lir4LmJ4LiE4Li44LiT 137651 +44GC44KK44G+44GX44Gf 137652 +IGJpcmth 137653 +IGJpcmthw6c= 137654 +IMSwc2w= 137655 +IMSwc2xhbQ== 137656 +55eb44G/ 137657 +IGjhuqNv 137658 +INC80LDRjw== 137659 +IGnFn8OnaQ== 137660 +16nX 137661 +16nXgQ== 137662 +4LiB4Liy4Lij4LmA4Lih4Li34Lit4LiH 137663 +15XXlNeo 137664 +IGNow7M= 137665 +64aA 137666 +IHlhbmzEsQ== 137667 +IHlhbmzEscWf 137668 +5bm444Gb 137669 +15DXqNeS15XXoNeZ 137670 +4Lit4Liy4LiI4Liy4Lij 137671 +4Lit4Liy4LiI4Liy4Lij4Lii4LmM 137672 +INC40L3RhNC+0YDQvNCw0YbQuNGO 137673 +0JPQng== 137674 +16DXl9ep 137675 +IOyVjOyVhA== 137676 +INGF0LDRgNCw0LrRgtC10YDQuNGB0YI= 137677 +INGF0LDRgNCw0LrRgtC10YDQuNGB0YLQuNC6 137678 +4LiE4Li44LiT4Liq4Liy4Lih4Liy4Lij4LiW 137679 +6KaL44GI44KL 137680 +4LiK4Lix4LiU4LmA4LiI 137681 +4LiK4Lix4LiU4LmA4LiI4LiZ 137682 +IGR6aWHFgmFs 137683 +IGR6aWHFgmFsbm/Fm2Np 137684 +4LmC4Lie4Liq4LiV4LmM 137685 +INCa0L7Quw== 137686 +INmB2YfZig== 137687 +INee16TXoNeZ 137688 +INeU16fXqdeo 137689 +2YXYsdmD 137690 +2YXYsdmD2LI= 137691 +IGhvw6E= 137692 +INCw0L/Qvw== 137693 +INCw0L/Qv9Cw0YDQsNGC 137694 +IHBhbWk= 137695 +IHBhbWnEmQ== 137696 +IHBhbWnEmXRh 137697 +IMOnw7xua8O8 137698 +15PXldef 137699 +44Gv44GT44Gh44KJ 137700 +IE3DoA== 137701 +INmK2YLYr9mF 137702 +INC/0YDQtdC3 137703 +INC/0YDQtdC30LjQtNC10L3Rgg== 137704 +4Lit4Li44LiV 137705 +4Lit4Li44LiV4Liq4Liy 137706 +4Lit4Li44LiV4Liq4Liy4Lir 137707 +4Lit4Li44LiV4Liq4Liy4Lir4LiB4Lij4Lij4Lih 137708 +7KeA7JuQ 137709 +INeQ16TXqdeo15XXqg== 137710 +c2Now7x0 137711 +c2Now7x0eg== 137712 +IFRpw6pu 137713 +IHNhecSxbMSx 137714 +INCz0YDRg9C/0L/Riw== 137715 +0L7Rh9C90YvQuQ== 137716 +INec16LXnteV15M= 137717 +IHdyemXFmw== 137718 +IHdyemXFm25pYQ== 137719 +IMSQ4bqndQ== 137720 +4LmA4LiC4LmJ4Liy4Lij4LmI4Lin4Lih 137721 +bsSxemRh 137722 +2K7Ziti1 137723 +IGfDvG5j 137724 +IGfDvG5jZWw= 137725 +INmE2YfYsNmH 137726 +INmK2LnYqtio2LE= 137727 +bMOpZ2k= 137728 +44KP44GL44KL 137729 +IHLhu6tuZw== 137730 +2LjZhw== 137731 +2LjZh9mI2LE= 137732 +INee15HXmdef 137733 +IOq4sO2DgA== 137734 +5YiH44KM 137735 +bGFubcSxxZ8= 137736 +4LiX4Li14LmI4Lih4Li14LiE4Lin4Liy4Lih 137737 +IGjhu4E= 137738 +2KrZiNis2Yc= 137739 +INin2YTYpdiv2KfYsdip 137740 +IMO6dGls 137741 +16HXpNeV 137742 +4LiE4Lin4Liy4Lih4Lij4Lix4LiB 137743 +4LmC4Liu 137744 +INC/0L7Qu9C40YI= 137745 +INC/0L7Qu9C40YLQuNC6 137746 +IHNhdMSxbg== 137747 +IMWeaW1kaQ== 137748 +157Xldeo15nXnQ== 137749 +7JWY64uk 137750 +15fXldeV 137751 +15fXldeV15nXlA== 137752 +4LiE4Lit4Lih4Lie4Li0 137753 +4LiE4Lit4Lih4Lie4Li04Lin 137754 +4LiE4Lit4Lih4Lie4Li04Lin4LmA4LiV4Lit4Lij4LmM 137755 +INin2LDYpw== 137756 +2KrYrtin2LA= 137757 +44Ko44Or 137758 +IHBvc3NpYmlsaXTDqQ== 137759 +4Lii4Li34LiZ4Lii4Lix4LiZ 137760 +IMO8bml2ZXJz 137761 +IMO8bml2ZXJzaXRl 137762 +INin2YTYr9mI2LHZig== 137763 +IOyViuuKlOuLpA== 137764 +IOyEnOuhnA== 137765 +2K3Yp9mE 137766 +IOuo 137767 +IOuovA== 137768 +IOuovOyggA== 137769 +4LiX4Li14LmI4LiW4Li54LiB 137770 +7Kec 137771 +IHNrw7NyeQ== 137772 +0LvRjNGG 137773 +4LmD4LiK4LmJ4LmA4Lin4Lil4Liy 137774 +15HXp9ep16o= 137775 +INiw2Yg= 137776 +5pel44CF 137777 +INC60L7RgtC+0YDRg9GO 137778 +INGD0YDQvtCy0LXQvdGM 137779 +6rmo 137780 +4LmE4LiX 137781 +44K144OX44Oq 137782 +44K444On44Oz 137783 +44GZ44G544GN 137784 +IEfDs3I= 137785 +44OI44Kk 137786 +44OI44Kk44Os 137787 +IHlhxZ9hbWE= 137788 +IGThu4tw 137789 +IGLhu69h 137790 +4LiL4Li4 137791 +IMO2bMO8bQ== 137792 +44Gj44Gm44GP44KL 137793 +4LiB4Liy4Lij4LiE4LmJ4Liy 137794 +16nXoteo 137795 +INGC0LjQv9Cw 137796 +INCz0LXRgA== 137797 +INCz0LXRgNC+ 137798 +16jXp9ei 137799 +IHV3YcW8 137800 +IHV3YcW8YQ== 137801 +16nXntef 137802 +IGhhc3RhbMSxaw== 137803 +44KP44KM44KL 137804 +YmHFn8Sx 137805 +0YfRgtC+ 137806 +INeR157XqNeb15Y= 137807 +IOyasOumrOydmA== 137808 +INmD2KfZhtmI2Kc= 137809 +INij2KjYsQ== 137810 +INij2KjYsdmK2YQ= 137811 +7Li1 137812 +4LmE4LiC4LmI 137813 +INmI2YTZiA== 137814 +4LiX4Lix4Lin 137815 +4LiX4Lix4Lin4Lij4LmM 137816 +INmI2KPZg9iv 137817 +4LiK4Lin4LiZ 137818 +15zXlden 137819 +5o2o 137820 +5o2o44Gm 137821 +IMSww6dpbg== 137822 +cMOpcmk= 137823 +IHlhbA== 137824 +IHlhbG7EsXo= 137825 +0YzRj9C9 137826 +IGfhuq9uZw== 137827 +4LiB4LmH4Lii4Lix4LiH 137828 +INCj0LrRgNCw0LjQvQ== 137829 +INGB0LDQvNC4 137830 +INC/0YDQvtCy0LXQtNC10L0= 137831 +4LiV4LiB4LmB4LiV4LmI4LiH 137832 +IFF1w6Ju 137833 +w6lwYXJhdGlvbg== 137834 +IGJhxZ/EsW5kYQ== 137835 +IHpuYWxl 137836 +IHpuYWxlxbo= 137837 +IHpuYWxlxbrEhw== 137838 +44Kx44O8 137839 +44OO44O8 137840 +4LiW4Li54LiB4LiV4LmJ4Lit4LiH 137841 +66q4 137842 +IOuPjA== 137843 +IOuPjOyVhA== 137844 +IFNjaMO8bGVy 137845 +INC/0L7QtNCz0L7RgtC+0LI= 137846 +INC/0L7QtNCz0L7RgtC+0LLQug== 137847 +2LnYsdmI 137848 +2LnYsdmI2LY= 137849 +bGHFn3TEsXI= 137850 +INGB0L7RgdGC0LDQstC70Y/QtdGC 137851 +INC/0YDQvtC40LfQstC+0LQ= 137852 +INC/0YDQvtC40LfQstC+0LTRgdGC0LLQsA== 137853 +INC+0YHQvdC+0LLQtQ== 137854 +INi02YXYp9mE 137855 +4LiB4Lij4Li1 137856 +IGfDtnLDvMWfbWU= 137857 +0L7Rh9C10Lo= 137858 +INeX15HXqNeZ150= 137859 +2YXYrtin2Lc= 137860 +2YXYrtin2LfYsQ== 137861 +77yt 137862 +16jXpNeQ 137863 +IE3hurk= 137864 +4Lii4Lit4Lih4Lij4Lix4Lia 137865 +IHbhur90 137866 +2K7YsA== 137867 +INin2YTYqti3 137868 +INin2YTYqti32KjZitmC 137869 +4LiZ4Li24LiB 137870 +INeU15vXoNeh16o= 137871 +INC+0LPRgNCw0L3QuA== 137872 +INC+0LPRgNCw0L3QuNGH0LXQvQ== 137873 +IMOHYWzEscWf 137874 +INin2YTZhdmG2KrYr9mJ 137875 +4LiI4Liz4LiZ4Lin4LiZ4Lih4Liy4LiB 137876 +INGC0L7RgNGA 137877 +INGC0L7RgNGA0LXQvdGC 137878 +IOyCtOyVhA== 137879 +4Lie4Lil4Lix4LiH4LiH4Liy4LiZ 137880 +4LiK4Lix4LiZ 137881 +INCQ0L3QtNGA 137882 +IHLDqWFsaXPDqQ== 137883 +157XqdeQ 137884 +4LmB4LiK 137885 +4LmB4LiK4Lij4LmM 137886 +INCx0L7Qsw== 137887 +4Lih4Liy4LmB4Lil4LmJ4Lin 137888 +INin2YTZhtin2LE= 137889 +IG9sbWFkxLHEn8Sx 137890 +15PXoteU 137891 +INGD0LLQtdGA 137892 +INGD0LLQtdGA0LXQvQ== 137893 +44KL44KC44Gu 137894 +2KPYrw== 137895 +2KPYr9mI2KfYqg== 137896 +INeU15bXldeS 137897 +2KXYudmE2KfZhQ== 137898 +aOG7jw== 137899 +IE7DpGhl 137900 +INGC0LXRgdGC 137901 +INee15XXm9eo 137902 +IOusuOygnOqwgA== 137903 +16rXldem15DXlA== 137904 +bcOz 137905 +bcOzdmVs 137906 +INin2YTYqtis2KfYsdip 137907 +INC80L3QvtCz0LjRhQ== 137908 +0L7QsdGJ0LA= 137909 +INei16HXp9eZ 137910 +IEVkdWNhw6fDo28= 137911 +16fXqdeZ150= 137912 +w6l0YWJs 137913 +w6l0YWJsaXNzZW1lbnQ= 137914 +INC00LXQu9C1 137915 +0LjRgNGD0LXRgtGB0Y8= 137916 +2KLYq9in2LE= 137917 +INeU157XqNeb15bXmQ== 137918 +44OQ44Or 137919 +INCy0YHRgtGA0LXRhw== 137920 +44GS44KL 137921 +IGNpxIU= 137922 +IGNpxIVndQ== 137923 +2YrYs9iq 137924 +4Lig4Liy4Lin 137925 +4Lig4Liy4Lin4Liw 137926 +2KPZhdix 137927 +INC+0LbQuA== 137928 +INC+0LbQuNC00LA= 137929 +IOG7p3k= 137930 +44Oe44Or 137931 +2LHYp9iz 137932 +0L7Rh9C90L7QuQ== 137933 +16rXkteV15HXldeq 137934 +2KrYudix2YrZgQ== 137935 +INGB0L7RhtC40LDQu9GM0L3Qvg== 137936 +44KS6ZaL 137937 +INC40YHRgdC70LXQtNC+0LLQsA== 137938 +IGTDug== 137939 +IGTDunZpZGE= 137940 +IHNrxYI= 137941 +IHNrxYJhZGE= 137942 +IGjDpHVmaWc= 137943 +INCy0YvQsdGA 137944 +INCy0YvQsdGA0LDRgtGM 137945 +44Gu44Gn44Gv44Gq44GE44GL 137946 +INGB0LjQu9GM0L3Qvg== 137947 +0YLQstC10YDQttC00LXQvQ== 137948 +16jXpA== 137949 +16jXpNeV15DXlA== 137950 +5oCd44GE44G+44GZ 137951 +2K3Ysdi1 137952 +16nXldeq16M= 137953 +2YXYs9is2K8= 137954 +4LmC4LiK4Lin4LmM 137955 +0LXQvNGB0Y8= 137956 +0LLRiNC40LU= 137957 +INC80Ls= 137958 +INC80LvQvQ== 137959 +INec15TXkdeZ15A= 137960 +INmK2KrYudmE2YI= 137961 +4LiV4Li54LmJ 137962 +INC/0YDQsNC3 137963 +INC/0YDQsNC30LQ= 137964 +INC/0YDQsNC30LTQvdC40Lo= 137965 +INC90LXQvA== 137966 +INC90LXQvNC90L7Qs9C+ 137967 +IHPDoG5n 137968 +2KrZhtiz2Yo= 137969 +2KrZhtiz2YrZgg== 137970 +IHThu50= 137971 +INC80LXQtNC4 137972 +44Gr5og= 137973 +44Gr5oi7 137974 +4LiE4Lin4LmJ4Liy 137975 +44GL44GR44KL 137976 +15HXnNeV16o= 137977 +INGN0LrRgdC/ 137978 +INGN0LrRgdC/0LXRgNGC 137979 +INC00LXQstGD0Yg= 137980 +INC00LXQstGD0YjQug== 137981 +INit2LU= 137982 +2YbYtNij 137983 +44GM44GC44KL44Gu44Gn 137984 +INiq2LHYp9mF 137985 +INiq2LHYp9mF2Kg= 137986 +2KPYs9mI2KfZgg== 137987 +INec16TXoNeV16o= 137988 +INin77u3 137989 +44Gr44GP 137990 +44Gr44GP44GE 137991 +INij2LnZhNmJ 137992 +INec15TXntep15nXmg== 137993 +csOkdQ== 137994 +16nXnteZ150= 137995 +5YiG44GR 137996 +44GZ44Gn 137997 +44GZ44Gn44Gr 137998 +15TXnNeb15Q= 137999 +15fXnNeZ16M= 138000 +IOyxhQ== 138001 +IOyxheyehA== 138002 +4LmA4LiI4Lij4Li0 138003 +4LmA4LiI4Lij4Li04LiN 138004 +6YGK44Gz 138005 +2KzYs9iv 138006 +4Liq4Liy4LiY 138007 +4Liq4Liy4LiY4Liy4Lij 138008 +4Liq4Liy4LiY4Liy4Lij4LiT 138009 +IGJhc8Sxbg== 138010 +0YDQsNCz 138011 +0LPQsNC0 138012 +IGhvxZ8= 138013 +7ZW1 138014 +15HXl9eZ16jXlA== 138015 +157Xodea 138016 +IOygnO2SiA== 138017 +2KrZhdmI2YrZhA== 138018 +IEzGsHU= 138019 +66Gc67aA7YSw 138020 +INC/0L7QsQ== 138021 +INC/0L7QsdC10LQ= 138022 +2YXZhtiw 138023 +5bi444Gr 138024 +2YLYsw== 138025 +INin2YTZhdi12K/YsQ== 138026 +INmI2KfZhNin2LPYqg== 138027 +IGto4bqvcA== 138028 +INin2YTYrNin2YbYqA== 138029 +IG5ndXnhu4du 138030 +6ZaT6YGV44GE 138031 +INGB0YLRgNCw 138032 +INGB0YLRgNCw0YU= 138033 +INGB0YLRgNCw0YXQvtCy 138034 +4Lij4Li14Lia 138035 +IHjGsMahbmc= 138036 +IOywvg== 138037 +IOywvuyVhA== 138038 +IG5n4bqhaQ== 138039 +0LPQsNC7 138040 +4LiL4Li14LmI 138041 +INeR16TXmdeZ16HXkdeV16c= 138042 +0KbQtdC90YLRgA== 138043 +IGF2YWxpYcOnw6Nv 138044 +IGVjb27Ds21pY28= 138045 +15bXnw== 138046 +INCc0LDQug== 138047 +IGludGVyw6lz 138048 +4LiB4Lil4Li04LmI4LiZ 138049 +0YHRgtGM0Y4= 138050 +IMSRxrDGoW5n 138051 +5by344GP 138052 +IEtow6FjaA== 138053 +4LmA4LiZ4Li34LmJ4Lit4Lir4Liy 138054 +IFlhesSx 138055 +6LK344Gj44Gm 138056 +0KDQlQ== 138057 +4LmA4Lie4Li04LmI4Lih4LiC4Li24LmJ4LiZ 138058 +4Liq4Lih4Lia4Li5 138059 +4Liq4Lih4Lia4Li54Lij4LiT4LmM 138060 +INC80LjRgNC+0LI= 138061 +15LXoNeZ150= 138062 +IMSR4bupYw== 138063 +4Lit4Liy4Lij4LmM 138064 +2LXYp9i1 138065 +44GK44KI 138066 +44GK44KI44Gz 138067 +w6rMiQ== 138068 +INin2YTZhdik2KrZhdix 138069 +INin2YTZhdix2K3ZhNip 138070 +4Liq4Lit4Lia4LiW4Liy4Lih 138071 +IOC4iOC4suC4geC4meC4seC5ieC4mQ== 138072 +INiq2LnYrw== 138073 +44Gd44Gu44Gf44KB 138074 +IGtow6FuZw== 138075 +4LiZ4Li04LiU 138076 +44OK44Oz 138077 +64Sk7JqU 138078 +INin2YTYp9it2Ko= 138079 +INin2YTYp9it2KrZhNin2YQ= 138080 +7JqV 138081 +INC80L7QtNC10LvQuA== 138082 +INC/0YDQvtGG0LXQvdGC 138083 +4Lie4Lin4LiB4LmA4Lij4Liy 138084 +INeU16bXkw== 138085 +INeU16bXk9eT15nXnQ== 138086 +c3TDpG5kZQ== 138087 +16DXkteo 138088 +IGRvdHlj 138089 +IGRvdHljesSF 138090 +IGRvdHljesSFY2U= 138091 +IMWbd2nEmXQ= 138092 +157XqNeU 138093 +44GZ44GU44GE 138094 +44OH44Kj44Oz44Kw 138095 +4LiB4Liy4Lij4Liq4Lij4LmJ4Liy4LiH 138096 +64Ks 138097 +IOywuOyXrA== 138098 +0YHRhQ== 138099 +0YHRhdC10Lw= 138100 +2YXZiNiz 138101 +IG7huqV1 138102 +INec157Xotec15Q= 138103 +4LmA4Lib4LmJ4Liy 138104 +4LmA4Lib4LmJ4Liy4Lir4Lih4Liy4Lii 138105 +IG3DuWk= 138106 +2KfYptiy 138107 +7ZuI 138108 +15fXkdeV16jXlA== 138109 +4Lic4Li54LmJ4LmD4LiK4LmJ 138110 +IHBhxbo= 138111 +IHBhxbpkemk= 138112 +IHBhxbpkemllcm4= 138113 +IHBhxbpkemllcm5pa2E= 138114 +4Lil4LiH4LmE4Lib 138115 +2YLYp9i5 138116 +IGNo4bqtbQ== 138117 +IMO2emVsbGlrbGVyaQ== 138118 +IMSQbw== 138119 +IMSQb8Ogbg== 138120 +0LbQtdC90LjQtQ== 138121 +IGjhurM= 138122 +IGjhurNu 138123 +IGHFn2s= 138124 +772N 138125 +44OR44K5 138126 +15TXldeo15DXldeq 138127 +IMW7 138128 +IMW7eQ== 138129 +157Xltec 138130 +INGD0LrRgNCw 138131 +INGD0LrRgNCw0LjQvQ== 138132 +4LmA4LiK4Li0 138133 +4LmA4LiK4Li04LiN 138134 +0KDQmA== 138135 +IHp3acSFemt1 138136 +15TXl9ec15jXqg== 138137 +44KT44Gn44GZ44KI44Gt 138138 +44Gm44GK44KK 138139 +0LvQvtC20LjRgtGM 138140 +157Xldeg15nXnQ== 138141 +4Liu4Li0 138142 +7LCs 138143 +INin2YTZhdi02KrYsdmD 138144 +IGTDvMWfw7xr 138145 +0LDQs9C10L3Rgg== 138146 +INin2YTYo9iz2KjZiNi5 138147 +INmC2LHZitio 138148 +0LjQvdC0 138149 +0LjQvdC00LjQsg== 138150 +0LjQvdC00LjQstC40LQ= 138151 +0LjQvdC00LjQstC40LTRgw== 138152 +0LjQvdC00LjQstC40LTRg9Cw0LvRjNC9 138153 +ZsO2cmRlcg== 138154 +IHNlw6dlbg== 138155 +IHNlw6dlbmVr 138156 +IMOpdGFudA== 138157 +INC70Y7QsdC40Lw= 138158 +0LrQsNC30YvQstCw0LXRgg== 138159 +4Lin4Li04LiZ 138160 +INeU15HXkNeZ150= 138161 +INC00L7Qsg== 138162 +INC00L7QstC+0LvRjA== 138163 +INC00L7QstC+0LvRjNC90L4= 138164 +16LXk9eZ16M= 138165 +IG9rcmU= 138166 +IG9rcmXFmw== 138167 +IG9rcmXFm2xvbg== 138168 +INiq2LHZitiv 138169 +4LmA4Lih4Li34LmI4Lit4Lin4Lix4LiZ4LiX4Li14LmI 138170 +44KI44GL44Gj44Gf 138171 +Q3VtaA== 138172 +Q3VtaHVy 138173 +Q3VtaHVyYmE= 138174 +Q3VtaHVyYmHFnw== 138175 +Q3VtaHVyYmHFn2thbg== 138176 +Q3VtaHVyYmHFn2thbsSx 138177 +IG7hu6M= 138178 +4Lic4Li54LmJ4LmA4Lil4LmI4LiZ 138179 +IGNvbXBsw6h0ZQ== 138180 +4LmA4Lie4Lio 138181 +2K/ZkA== 138182 +IGTDvHo= 138183 +IGTDvHpleQ== 138184 +44Gn44GC44KL44GT44Go 138185 +ZXh0w6lyaWV1cg== 138186 +17M= 138187 +IGluZm9ybWHDp8Ojbw== 138188 +44Kv44Oq44OL44OD44Kv 138189 +IFB1Ymxp 138190 +IFB1Ymxpw6k= 138191 +16jXldeT 138192 +4LiE4Lin4Liy4Lih4Lib4Lil4Lit4LiU4Lig4Lix4Lii 138193 +INij2YrYtg== 138194 +INij2YrYttmL2Kc= 138195 +2KrYs9io2Kg= 138196 +44Gk44KC44KK 138197 +0LjQt9C80LA= 138198 +4LiC4Li24LmJ4LiZ4LmE4Lib 138199 +2YPZkA== 138200 +2YTZiNmF 138201 +INep16bXqA== 138202 +INep16bXqNeZ15o= 138203 +44Gv44KC44Gh44KN44KT 138204 +INC60LDQvQ== 138205 +INC60LDQvdCw0Ls= 138206 +44Gr44Gq44Gj44Gm44GE44G+44GZ 138207 +INin2YTYo9mD2KvYsQ== 138208 +2KrYp9it 138209 +2YbYqtmH 138210 +2YbYqtmH2KfYoQ== 138211 +2KfZiNmK2Kk= 138212 +IEJ1Z8O8bg== 138213 +0L3RgdC60L7Qs9C+ 138214 +4LiU4LmI4Lin4LiZ 138215 +w6l2b2x1dGlvbg== 138216 +44Gj44Gm44GE44G+44GX44Gf 138217 +44KF 138218 +IFbGsMahbmc= 138219 +4Lig4Liy4Lie4Lii 138220 +4Lig4Liy4Lie4Lii4LiZ 138221 +4Lig4Liy4Lie4Lii4LiZ4LiV4Lij4LmM 138222 +INeU16bXnNeZ15c= 138223 +INin2YTYpdiz2YTYp9mF2Yo= 138224 +2YTZitio 138225 +IGVkacOnw6Nv 138226 +0YHRgtGA0LXQuw== 138227 +IGtow7pj 138228 +2YbZhdmI2LA= 138229 +2YbZhdmI2LDYrA== 138230 +15zXpteU 138231 +0YHRgtCw0LLQuNC7 138232 +4LiW4Liy 138233 +4Liq4Lij4LmJ4Liy4LiH4LiE4Lin4Liy4Lih 138234 +44GE44Gj44Gx 138235 +44GE44Gj44Gx44GE 138236 +0YHRgtCw0LLQu9C10L0= 138237 +INin2YTZgtiv2LM= 138238 +IG5nxrDhu6Nj 138239 +2KjYrg== 138240 +4Liq4Lir4Lij 138241 +4Liq4Lir4Lij4Lix 138242 +4Liq4Lir4Lij4Lix4LiQ 138243 +INij2Lo= 138244 +INij2LrYs9i3 138245 +INij2LrYs9i32LM= 138246 +44GG44G+ 138247 +44GG44G+44GP 138248 +IOq1reygnA== 138249 +2K3Yttin2LE= 138250 +IGThu6tuZw== 138251 +5oq844GX 138252 +2KrZiNin 138253 +2KrZiNin2KzYrw== 138254 +16nXnteX15Q= 138255 +44GP44KT 138256 +INeR16LXpg== 138257 +INeR16LXpted 138258 +157XoNeZ15XXqg== 138259 +15XXmdeT 138260 +15XXmdeT15DXlQ== 138261 +4LiK4Li04LiH 138262 +IHByYWPEmQ== 138263 +INC30LDRgg== 138264 +INC30LDRgtC10Lw= 138265 +IOyekOycoA== 138266 +IOykgA== 138267 +IOykgOu5hA== 138268 +IGLhuq0= 138269 +IGLhuq1j 138270 +INeU157XpteR 138271 +INmC2YrZhdip 138272 +4LmA4Lit4LmA4LiK 138273 +4LmA4Lit4LmA4LiK4Li14Lii 138274 +IHBlcmNow6g= 138275 +INin2YTYudiz2YPYsQ== 138276 +INin2YTYudiz2YPYsdmK2Kk= 138277 +2KzZitio 138278 +6561 138279 +2YXZh9ix 138280 +2YXZh9ix2KzYp9mG 138281 +2YXYsdin2YM= 138282 +2YXYsdin2YPYsg== 138283 +INC+0LTQvdCw0LrQvg== 138284 +4LiU4Li14LmG 138285 +INem16TXlQ== 138286 +IGt1bGxhbsSxbGFu 138287 +INC60LjQvdC+ 138288 +44OG44Kj44Oz44Kw 138289 +IEdp4bubaQ== 138290 +2KrZiNiy 138291 +2KrZiNiy2YrYuQ== 138292 +4Lii4Li04LiZ 138293 +4Lii4Li04LiZ4LiU4Li1 138294 +IGPFk3Vy 138295 +IGnFn2FyZXQ= 138296 +INeR16LXlteo 138297 +INeR16LXlteo16o= 138298 +INC/0LDRhtC4 138299 +INC/0LDRhtC40LXQvdGC 138300 +44G/44Gf44GE44Gn44GZ 138301 +0LLQtdC3 138302 +0LvQuNC90LA= 138303 +0L7QtNC1 138304 +INeQ15XXqtef 138305 +ZMSxxJ/EsW7EsXo= 138306 +INCQ0LI= 138307 +INCQ0LLRgtC+0YA= 138308 +77yu 138309 +IEPhuqdu 138310 +INin2YTYp9iu 138311 +INin2YTYp9iu2KjYp9ix 138312 +IOqxsOydmA== 138313 +IGF0ZW7Dp8Ojbw== 138314 +IGdlbGRpxJ9p 138315 +44Kq44K5 138316 +44Kq44K544K5 138317 +44Kq44K544K544Oh 138318 +0LXQstGL0LU= 138319 +0LrRgNGL0Ls= 138320 +4LmA4LiK4Li14Lii4LiH 138321 +4LmA4LiK4Li14Lii4LiH4LmD4Lir4Lih4LmI 138322 +IG1hcsOnbw== 138323 +INin2YTZhdin2K/YqQ== 138324 +INCz0L7Quw== 138325 +IHNwcnplZGHFvHk= 138326 +IO2VtOqysA== 138327 +INCV0LPQvg== 138328 +6rmA 138329 +INec16fXkdec16o= 138330 +INin2YTZgdmG2KfZhg== 138331 +IGNvbXVuaWNhY2nDs24= 138332 +4LmA4Liq4LmJ4LiZ4LiX4Liy4LiH 138333 +7Zi5 138334 +4LiK4Liz 138335 +4LiK4Liz4Lij4Liw 138336 +INeb15DXng== 138337 +INeb15DXnteV16g= 138338 +4LiK4LmI4Liy4LiH 138339 +2LLZh9ix 138340 +IGtsaWVudMOzdw== 138341 +0LjQstCw0Y7Rgg== 138342 +0LDQvdCz 138343 +16DXmg== 138344 +IGfhu41u 138345 +w5xS 138346 +7JiB7IOB 138347 +INi62LLYqQ== 138348 +7J2M7J2E 138349 +IGJlenBv 138350 +IGJlenBvxZs= 138351 +IGJlenBvxZtyZWRuaQ== 138352 +INin2YTZhdmI2Kc= 138353 +INin2YTZhdmI2KfYt9mG 138354 +INin2YTZhdmI2KfYt9mG2YrZhg== 138355 +44KM44G+44GZ 138356 +INC80LDRgtGH 138357 +15DXldef 138358 +INix2LPZhdmK 138359 +INGN0LrQvtC9 138360 +INGN0LrQvtC90L7QvA== 138361 +INGN0LrQvtC90L7QvNC40YfQtdGB0Lo= 138362 +44Oc44O8 138363 +INC00LjRgA== 138364 +INC00LjRgNC10LrRgtC+0YA= 138365 +INGB0LrQvtGA0L4= 138366 +4Lia4Liz 138367 +4Lia4Liz4Lij 138368 +4Lia4Liz4Lij4Li44LiH 138369 +INGE0YPRgg== 138370 +INGE0YPRgtCx0L7Quw== 138371 +INeQ15nXnA== 138372 +IOykkeq1rQ== 138373 +7Jyk 138374 +ZcSfZQ== 138375 +4LmE4LiB4LmI 138376 +dHJhw64= 138377 +dHJhw65u 138378 +INGC0YDRg9Cx 138379 +4LmA4Lia4Li3 138380 +4LmA4Lia4Li34LmJ4Lit4LiH 138381 +4LmB4Lih4LiZ 138382 +INiq2K3Yr9mK2Ks= 138383 +INeb16LXqg== 138384 +2K3Yp9iz2Kg= 138385 +bMSxxJ9h 138386 +16fXmdeZ157Xmded 138387 +0L7RgdGC0YzRjg== 138388 +4Lid4Lix 138389 +4Lid4Lix4LmI4LiH 138390 +2LTYutmE 138391 +7Ju5 138392 +INC60LDQttC00L7Qs9C+ 138393 +IGLDtmzDvG3DvA== 138394 +4Lir4LiZ4Li1 138395 +IGlzdGVkacSfaQ== 138396 +IHRyxrBuZw== 138397 +44OM 138398 +4Liu4Lit 138399 +2KPZhti0 138400 +2KPZhti02LfYqQ== 138401 +INin2YTZhdiz2Yo= 138402 +INin2YTZhdiz2YrYrQ== 138403 +4Lil4Lix4LiB4Lip4LiT4LmM 138404 +IG7hu61h 138405 +4LiX4Li14LmI4LiV4LmJ4Lit4LiH4LiB4Liy4Lij 138406 +0YjQtdC6 138407 +0LvRkQ== 138408 +INep15nXlA== 138409 +INep15nXlNeZ15Q= 138410 +IGtodcO0bg== 138411 +INGC0YDQtdCx0L7QstCw0L3QuNGP 138412 +INec16LXlteV16g= 138413 +INin2YTYudmF2LE= 138414 +4Lij4Liy4LiE4Liy4LiW4Li54LiB 138415 +2YfZj9mF2ZI= 138416 +w7xzdA== 138417 +w7xzdMO8 138418 +INC00LXQvdC10LM= 138419 +IG7huqE= 138420 +4LiC4LiZ4Lih 138421 +INCx0LvQsNCz 138422 +INCx0LvQsNCz0L7QtA== 138423 +INCx0LvQsNCz0L7QtNCw0YA= 138424 +INCx0LvQsNCz0L7QtNCw0YDRjw== 138425 +2KXYs9mE2KfZhQ== 138426 +4LiZ4Li04Lin 138427 +55+l44KJ44Gq44GE 138428 +2KvZgtip 138429 +INCz0L7Qu9C+0YE= 138430 +15DXldeo15c= 138431 +IHRy4bupbmc= 138432 +INC+0LTQvdC+0Lw= 138433 +IGtvxYRjdQ== 138434 +INeV16jXpw== 138435 +V2nEmQ== 138436 +V2nEmWNlag== 138437 +INeQ15nXm9eV16o= 138438 +INeQ15nXm9eV16rXmQ== 138439 +0YHQvtGB 138440 +IGplxbxlbGk= 138441 +5Lul5LiL44Gu 138442 +5bCP44GV 138443 +5bCP44GV44Gq 138444 +0L7Qu9C+0LPQuNC4 138445 +INC+0LHRgdC70YPQtg== 138446 +INC+0LHRgdC70YPQttC40LLQsA== 138447 +2YPYqtin2KjYqQ== 138448 +IOq0gOyLrA== 138449 +16LXqdeZ16g= 138450 +IGFyYXPEsW5kYWtp 138451 +INGA0LDQudC+0L3QsA== 138452 +2YjYp9is2Kg= 138453 +INeR15fXmdeZ 138454 +7ZW07KO8 138455 +IGfDs2M= 138456 +0LDQudC7 138457 +IFTDrG5o 138458 +5pqu44KJ 138459 +5pqu44KJ44GX 138460 +5pmC44Gr44Gv 138461 +INCz0L7RgNC+0LTQtQ== 138462 +INeb15DXmdec 138463 +INeb15DXmdec15U= 138464 +IEPhu5luZw== 138465 +44Gp44GG44GX44Gm44KC 138466 +15fXldej 138467 +2KrYrdix2YM= 138468 +INGB0LvQvtCy0LDQvA== 138469 +4LiI4Liw4LiK4LmI4Lin4Lii 138470 +INin2YTZhdiz2KrZgtio2YQ= 138471 +2YLYtg== 138472 +2YLYttmK 138473 +15HXodeV16Q= 138474 +15HXodeV16TXlQ== 138475 +acSZxIc= 138476 +IFnEsWw= 138477 +2LTZitiu 138478 +4LiE4Li44LiT4LiI4Liw 138479 +16nXnteV16o= 138480 +INiq2LnYsdi2 138481 +IGFuw6FsaXNl 138482 +INGB0L7QsdC40YDQsA== 138483 +4LmA4Lie4LiK 138484 +4LmA4Lie4LiK4Lij 138485 +INCy0LXQu9C4 138486 +INCy0LXQu9C40Lo= 138487 +4Liq4Lix4LmJ4LiZ 138488 +IHBvcHVsYcOnw6Nv 138489 +4Lij4LmI4Lin4Lih4LiB4Lix4LiZ 138490 +15fXng== 138491 +15fXnteZ16nXmQ== 138492 +16HXmdeh 138493 +5YaF44Gn 138494 +IHNvYsSF 138495 +IFlheQ== 138496 +IFlhecSxbg== 138497 +44Oh44OL44Ol44O8 138498 +INC/0YDQtdC00L7RgdGC0LDQstC70Y8= 138499 +44Gg44Go5oCd44GG 138500 +IOqzoOqwnQ== 138501 +INC+0LTQvdC40Lw= 138502 +4LmD4LiZ4LmA4Lij4Li34LmI4Lit4LiH 138503 +IHPhu5U= 138504 +INCX0LTQtdGB0Yw= 138505 +INC40LfQvNC10L3QtdC90LjRjw== 138506 +IOydvOydhA== 138507 +44Gq44Gu44Gg 138508 +0LrQu9Cw0LTRi9Cy0LA= 138509 +0YDQvNCw 138510 +INeV15HXm9ec 138511 +2KrYo9mF2YrZhg== 138512 +INC/0YDQuNGP0YI= 138513 +INC/0YDQuNGP0YLQvQ== 138514 +2YXZhdin2LE= 138515 +2YXZhdin2LHYs9ip 138516 +44Go44Gq44Gj44Gm 138517 +INis2YXZitmE 138518 +IOyniA== 138519 +IOyniOusuA== 138520 +IHF1ZXN0w6Nv 138521 +acOp 138522 +acOpbmRv 138523 +4Lir4LmJ4Lit4LiH4Lie4Lix4LiB 138524 +44OR44O844OI 138525 +0YLQstC10YDQttC00LA= 138526 +0L3RgdC60L7QuQ== 138527 +0LfQsNC7 138528 +4Lih4Li44LmI4LiH 138529 +4buK 138530 +INeU15DXl9eo15XXoNeU 138531 +IFRoxrA= 138532 +7KO866+8 138533 +INin2YTYudio 138534 +w6l2w6lu 138535 +w6l2w6luZW1lbnQ= 138536 +2YLZiNin2LnYrw== 138537 +2K/Zjw== 138538 +IOyViuyKteuLiOuLpA== 138539 +IOuztOq4sA== 138540 +IHlhcMSxbG1hc8Sx 138541 +4LmA4Lij4Liy4LiB 138542 +4LmA4Lij4Liy4LiB4LmH 138543 +2K3YsNix 138544 +2YLYtdix 138545 +44Gm44GX44G+44GE44G+44GX44Gf 138546 +IOC5gOC4m+C5h+C4meC4leC5ieC4mQ== 138547 +44Go44Gr 138548 +44Go44Gr44GL 138549 +44Go44Gr44GL44GP 138550 +0L3RhtC1 138551 +0LfQstGD0Lo= 138552 +44GX44KI44GG44Go 138553 +INin2YTYtdit2YrYqQ== 138554 +INep15TXmdeV 138555 +IERpxJ9lcg== 138556 +2YLZhNmC 138557 +44K444Oj44Oz 138558 +IHLhu51p 138559 +INC70LXRhw== 138560 +INC70LXRh9C10L3QuNGP 138561 +2KrYqNin2K8= 138562 +2KrYqNin2K/ZhA== 138563 +16bXpNeU 138564 +4LiE4Lin4Liy4Lih4LmA4Lir4LmH4LiZ 138565 +INi02Kg= 138566 +INi02KjZg9ip 138567 +16jXmden 138568 +2YXYudiv 138569 +2YXYudiv2KfYqg== 138570 +ZMSxxJ/EsW5kYQ== 138571 +INeR16nXoNeZ150= 138572 +INeU15nXqdeo15DXnA== 138573 +INeU15nXqdeo15DXnNeZ16o= 138574 +IHPEsW5hdg== 138575 +16DXpteZ15I= 138576 +4Lin4Lix4LiV4LiW4Li4 138577 +INin2YTYqNix2YTZhQ== 138578 +INin2YTYqNix2YTZhdin2YY= 138579 +dGl2aXTDoA== 138580 +44KT44Gg44KN44GG 138581 +16fXmdeZ154= 138582 +2YTZitmD 138583 +IMSRw7I= 138584 +IMSRw7Jp 138585 +INCY0L3RgtC10YA= 138586 +INCY0L3RgtC10YDQvdC10YI= 138587 +44Gr44Go44Gj44Gm44Gv 138588 +44Gj44GT 138589 +16fXldeh 138590 +2LPYqtit2YI= 138591 +5pWZ44GI44Gm 138592 +44OA44Oh 138593 +INmF2YbYstmE 138594 +4LmA4LiL4LmH4LiZ 138595 +5L2/44GI44KL 138596 +6KaL56mN 138597 +6KaL56mN44KC44KK 138598 +2KPZgQ== 138599 +2KPZgdmD2KfYsQ== 138600 +INC40LPRgNC+0LI= 138601 +INC40LPRgNC+0LLRi9C1 138602 +IG3EmcW8 138603 +IG3EmcW8Y3p5 138604 +IG3EmcW8Y3p5em4= 138605 +INin2YTYrdmC2YrZgtmK 138606 +2LnYqNix 138607 +15vXldec16DXlQ== 138608 +7Z2l 138609 +157XkNeV15fXqA== 138610 +2K7Yqti1 138611 +44Oe44Oe 138612 +INeQ15fXldeW 138613 +7YyA 138614 +IHLhu5Fp 138615 +INCy0YLQvtGA 138616 +INCy0YLQvtGA0L7QuQ== 138617 +IGzhuqtu 138618 +0L/RgNC+0Lw= 138619 +0L/RgNC+0LzRi9GI 138620 +0L/RgNC+0LzRi9GI0LvQtdC9 138621 +0L/RgNC+0LzRi9GI0LvQtdC90L0= 138622 +INC+0YLQvdC+0YjQtdC90LjRjw== 138623 +IHPhu6k= 138624 +INC80L7QsdC40LvRjA== 138625 +INC80L7QsdC40LvRjNC9 138626 +INGN0YLQvtC80YM= 138627 +IHThuqFw 138628 +IOyCrOqxtA== 138629 +IOyVjOugpA== 138630 +2YPZjw== 138631 +2YPZj9mF2ZI= 138632 +INen15XXqNeU 138633 +INGE0LjRgA== 138634 +INGE0LjRgNC8 138635 +IHPEsWvEsW50xLE= 138636 +16DXmw== 138637 +16DXm9eV158= 138638 +2YjZhNmI2KzZig== 138639 +2K3Yp9mG 138640 +IGxv4bqhbg== 138641 +INeQ15zXow== 138642 +IG3huq9u 138643 +YWJow6RuZw== 138644 +YWJow6RuZ2ln 138645 +INGD0YDQvtCy0L3Rjw== 138646 +INec15HXk9eV16c= 138647 +2YrZhdmG 138648 +bGF5xLFu 138649 +IGjhuqNp 138650 +INC30LDQstC+0LQ= 138651 +IOyVhOyjvA== 138652 +4Liq4LiW4Liy 138653 +4Liq4LiW4Liy4Lia4Lix4LiZ 138654 +IGfDvHZlbmxpaw== 138655 +4LmA4LiU4LmI4LiZ 138656 +15HXk9en 138657 +IOuI 138658 +IOuIhA== 138659 +IOuIhOq1rA== 138660 +6YeN6KaB44Gq 138661 +4Lij4Lit4LiH4Lij4Lix4Lia 138662 +c2NobGll 138663 +c2NobGllw59lbg== 138664 +IOyWvA== 138665 +IOyWvOuniA== 138666 +IOyWvOuniOuCmA== 138667 +0YLQuNC60Lg= 138668 +7ZWc64uk6rOg 138669 +44Gg44Gj44Gf44KJ 138670 +INeU15nXmNeR 138671 +44Gq44GR44KM44Gw44Gq44KJ44Gq44GE 138672 +w6LM 138673 +w6LMow== 138674 +IHBo4bqhdA== 138675 +YWvEscWf 138676 +44Gm44GX44G+44GE44G+44GZ 138677 +4LmA4LiL4LmH 138678 +INCh0LXQs9C+0LTQvdGP 138679 +IGluc2FubGFyxLFu 138680 +IGTDqXZlbG9wcGU= 138681 +16rXpNeo 138682 +16rXpNeo15nXmA== 138683 +2KfZhtiq2LTYp9ix 138684 +6rCR 138685 +RnJhbsOnb2lz 138686 +2KPZhNi5 138687 +2KPZhNi52KfYqA== 138688 +44KS6LaF 138689 +44KS6LaF44GI 138690 +IOqwmeyKteuLiOuLpA== 138691 +44Kz44Os 138692 +INC80LXRgdGP0YbQtdCy 138693 +7YyF 138694 +INin2YTYrNin2YXYudip 138695 +7J247YSw 138696 +7J247YSw64S3 138697 +15PXqNeV16k= 138698 +INmI2KPYtNin2LE= 138699 +INC/0YDQsNCy0LjQu9Cw 138700 +44Gd44GT44Gr 138701 +15fXnteT 138702 +4LmA4Lir4LiV4Li44LiB4Liy4Lij4LiT4LmM 138703 +IOqyve2XmA== 138704 +44G244KK 138705 +15zXqQ== 138706 +15zXqdeV158= 138707 +4LmA4LiW 138708 +IERvxJ91 138709 +INC40YHQv9C+0LvRjNC30L7QstCw0L3QuNC1 138710 +IMOnb2N1xJ91 138711 +0LzQsNCz0LDQt9C40L3QtQ== 138712 +IMSRaeG7g24= 138713 +IGFzbMSx 138714 +IGFzbMSxbmRh 138715 +IGRvZW7Dp2E= 138716 +INiz2KfYuQ== 138717 +INiz2KfYudin2Ko= 138718 +INC40YHQv9C+0LvRjNC30L7QstCw0L3QuNGP 138719 +16jXldem15nXnQ== 138720 +INC30L3QsNGH0LjRgg== 138721 +INGA0LDQvA== 138722 +INGA0LDQvNC60LDRhQ== 138723 +6rGw66as 138724 +INC/0YvRgtCw 138725 +44OB44Oz 138726 +INC/0L7RgdC6 138727 +INC/0L7RgdC60L7Qu9GM 138728 +INC/0L7RgdC60L7Qu9GM0LrRgw== 138729 +2KXYqNix 138730 +2KXYqNix2KfZhw== 138731 +2KXYqNix2KfZh9mK2YU= 138732 +INGC0YDQtdGF 138733 +IEdlbsOn 138734 +2LPZiNmB 138735 +IHZlw61jdWxv 138736 +IE5nw6Ju 138737 +INC+0YfQtdGA0LXQtNGM 138738 +4LiE4Lij4Li24LmI4LiH 138739 +15DXkdeZ 138740 +4LiV4LmJ4Lih 138741 +44KS6KGM44GE 138742 +INin2YTYs9in2KjZgtip 138743 +0L3QsNGG0Lg= 138744 +0L3QsNGG0LjQvtC90LA= 138745 +0L3QsNGG0LjQvtC90LDQu9GM0L0= 138746 +IGdlc3Rpw7Nu 138747 +2KrZgtiv 138748 +INin2YTYqNmK2KfZhg== 138749 +INin2YTYqNmK2KfZhtin2Ko= 138750 +INin2YTYp9mG2KrYrtin2Kg= 138751 +INin2YTYp9mG2KrYrtin2KjYp9iq 138752 +4LmA4LiK4LmI4Liy 138753 +15PXkNeS 138754 +INec15LXnteo15k= 138755 +INiq2K3Yqtin2Kw= 138756 +IHRow7Ru 138757 +4LiV4LmJ4Lit4LiZ 138758 +4LiV4LmJ4Lit4LiZ4Lij4Lix4Lia 138759 +5aWz44Gu 138760 +5aWz44Gu5a2Q 138761 +IHRo4buf 138762 +2LfYrdmG 138763 +4Liy4Lij4LmM4LiU 138764 +16rXnteZ15M= 138765 +INGB0LDQvNGL0Lw= 138766 +IOyLnO2WiQ== 138767 +2KXYtdiv 138768 +2KXYtdiv2KfYsQ== 138769 +IE5naOG7hw== 138770 +7JWV 138771 +2LPYpg== 138772 +2LPYptmE 138773 +4Lit4Liy4Lij 138774 +4Lit4Liy4Lij4Lih 138775 +4Lit4Liy4Lij4Lih4LiT4LmM 138776 +4LmB4Liu 138777 +16DXmNec 138778 +IOyii+yVhA== 138779 +15XXnNec 138780 +INeR15vXqteR 138781 +44Kr44Op 138782 +16bXoteZ16jXmded 138783 +2KrYudio2YrYsQ== 138784 +INee16fXqNeU 138785 +INGE0LDQutGC0L7RgA== 138786 +INiq2YXYp9mF 138787 +INiq2YXYp9mF2Kc= 138788 +642V 138789 +IHbGsOG7nQ== 138790 +IHbGsOG7nW4= 138791 +IGTEscWfxLE= 138792 +44GE44Gh 138793 +INec16fXoNeV16o= 138794 +INin2YTYudmE2KfZgtin2Ko= 138795 +0L/Rg9Cx 138796 +0L/Rg9Cx0LvQuA== 138797 +2KXZitmF 138798 +2KXZitmF2KfZhg== 138799 +4Lit4Liz4LiZ4Liy 138800 +4Lit4Liz4LiZ4Liy4LiI 138801 +5ZCr44G+44KM 138802 +44KL44Gf44KB44Gr 138803 +16HXkg== 138804 +16HXkteg15XXnw== 138805 +2KrYrdiv2Yo= 138806 +IGF1cHLDqHM= 138807 +INin2YTYrNmH2Kc= 138808 +INin2YTYrNmH2KfYsg== 138809 +INee16rXl9eq 138810 +0LXQvdC90YPRjg== 138811 +INC30LjQvA== 138812 +4LiB4Liy4LmB4Lif 138813 +INeR16rXldeo 138814 +IG5naMOo 138815 +IG5naMOobw== 138816 +INCb0Y4= 138817 +INCb0Y7QsQ== 138818 +16rXp9em15nXkQ== 138819 +157Xotep15Q= 138820 +INin2YTYqNmK2Ko= 138821 +16bXmdek 138822 +INC+0LHRj9C30LDQvQ== 138823 +IE3hu5dp 138824 +INCi0YPRgA== 138825 +INmI2KjYp9mE2Ko= 138826 +INmI2KjYp9mE2KrYp9mE2Yo= 138827 +IGTDqWNpc2lvbg== 138828 +INio2K8= 138829 +INio2K/Yo9iq 138830 +IGPhu6Vj 138831 +IGJhc2s= 138832 +IGJhc2vEsQ== 138833 +IGhhdMSxcmw= 138834 +IGhhdMSxcmxh 138835 +5bCP44GV44GE 138836 +IGdlcsOnZWt0ZW4= 138837 +4Lic4Lix4LiB 138838 +5Y+v6IO944Gq 138839 +157XkNeh 138840 +IGNyw610aWNh 138841 +IOydmOybkA== 138842 +2LnZgtmI2K8= 138843 +15jXm9eg 138844 +15jXm9eg15XXnNeV15LXmdeU 138845 +6KiA44GI44Gw 138846 +INmC2YbYpw== 138847 +INmC2YbYp9ip 138848 +IOydtOqyg+ydgA== 138849 +2KrYtdix 138850 +4Lif4Lix4LiZ 138851 +INGA0LXRhtC10L8= 138852 +INGA0LXRhtC10L/Rgg== 138853 +INio2YbZgdiz 138854 +0YDQvtGI 138855 +INC80LDRgNGC0LA= 138856 +IHNvbnJhcw== 138857 +IHNvbnJhc8Sx 138858 +15XXkdep 138859 +44Oq44K544Kv 138860 +IEZyYW7Dp2Fpcw== 138861 +4bua 138862 +6rCU 138863 +INeU15HXqNeZ16o= 138864 +16TXmdem 138865 +16TXmdem15XXmQ== 138866 +INmE2YXYp9iw2Kc= 138867 +INCa0LjQtdCy 138868 +INGB0LzRi9GB0Ls= 138869 +6riI7Jy1 138870 +44K344Oj44Or 138871 +44Op44Kk44OI 138872 +7JuD 138873 +157Xl9eo 138874 +44aN 138875 +IGt1bGxhbsSxbQ== 138876 +INeQ16bXnNeg15U= 138877 +IHTDoG4= 138878 +44OP44O8 138879 +44Go44Go44KC 138880 +44Go44Go44KC44Gr 138881 +0YDQtdCz 138882 +0YDQtdCz0Lg= 138883 +0YDQtdCz0LjQvtC9 138884 +44Gq44GP44Gq44KL 138885 +IGNo4bqjeQ== 138886 +INis2YfYqQ== 138887 +xYRza2llag== 138888 +4Lit4Li14LmA4Lih 138889 +4Lit4Li14LmA4Lih4Lil 138890 +44GN44Gj44Go 138891 +IOyYiOyCsA== 138892 +IGtpdGFixLE= 138893 +IGVkdWNhw6fDo28= 138894 +IGJ1bHXFnw== 138895 +0L7Qu9C+0LPQuNGP 138896 +INC60L7QvdC60YA= 138897 +INC60L7QvdC60YDQtdGC 138898 +15LXmdeo 138899 +INC/0YDQtdC00LvQsNCz 138900 +INC/0YDQtdC00LvQsNCz0LDQtdGC 138901 +IFnDqm4= 138902 +IO2VnOuyiA== 138903 +INee16jXm9eW15k= 138904 +4LmA4Lib4Li04LiU4LmA4Lic4Lii 138905 +0YLQstC10YDQtA== 138906 +IEjhu4c= 138907 +INCT0YA= 138908 +4Lid4LmJ4Liy 138909 +15TXqden 138910 +15TXqden16LXlA== 138911 +INC90LDRg9C6 138912 +7KCQ7J2E 138913 +INC90LXQu9GM 138914 +INC90LXQu9GM0Lc= 138915 +INC90LXQu9GM0LfRjw== 138916 +0LPQuNC9 138917 +IELDtmw= 138918 +IELDtmxnZQ== 138919 +INCy0LvQsA== 138920 +INCy0LvQsNGB0YLQuA== 138921 +4LmA4LiZ4LmH 138922 +4LmA4LiZ4LmH4LiV 138923 +6rOo 138924 +IMO2bGQ= 138925 +IMO2bGTDvHI= 138926 +15vXoNei 138927 +INin2YTZh9mK2KbYqQ== 138928 +2KrYp9ix2YrYrg== 138929 +INCR0YA= 138930 +INGB0LzQvtC2 138931 +INGB0LzQvtC20LXRgtC1 138932 +IEzDumM= 138933 +4LmE4Lib4LiW4Li24LiH 138934 +IEJha2FuxLE= 138935 +IGVya2zDpHJ0 138936 +INCQ0L3QsA== 138937 +IHNjw6huZQ== 138938 +5ZWP44GE 138939 +5ZWP44GE5ZCI44KP44Gb 138940 +2YXZh9mG2K8= 138941 +2YXZh9mG2K/Ysw== 138942 +INC90LDQt9Cy0LDQvdC40LU= 138943 +0LjQstCw0L3QuNGP 138944 +44KS5aSJ44GI 138945 +5LuY44GN5ZCI 138946 +44OR44K9 138947 +44OR44K944Kz44Oz 138948 +5piO44KJ 138949 +5piO44KJ44GL 138950 +4LmA4Lit4LiB4Liq4Liy4Lij 138951 +4LmA4LiB4Li04LiZ4LmE4Lib 138952 +0LvQtdC/ 138953 +44GX44Gf44KC44Gu 138954 +IEPDom0= 138955 +IEPDom1hcmE= 138956 +16fXldec16DXldei 138957 +INeR15LXmdef 138958 +IG9jenk= 138959 +IG9jenl3acWbY2ll 138960 +YXR0aXZpdMOg 138961 +44OT44Ol44O8 138962 +IGVkdWNhY2nDs24= 138963 +xLBZRQ== 138964 +6rmM7JqU 138965 +44Ko44Oq44Ki 138966 +0L3QtdGB0YLQuA== 138967 +IG3Ds2c= 138968 +IG3Ds2fFgg== 138969 +INen15jXoNeZ150= 138970 +IFByw6Q= 138971 +INec16LXkdeV16g= 138972 +2KjZhtmJ 138973 +0LfQvtC7 138974 +0LfQvtC70L7Rgg== 138975 +IHduxJl0cg== 138976 +IHduxJl0cno= 138977 +IGNvbnN0cnXDp8Ojbw== 138978 +4Lij4Lix4Lia4Lij4Lit4LiH 138979 +2LPYrNmG 138980 +INen15XXoA== 138981 +16HXmdek15XXqA== 138982 +INmF2K/ZiQ== 138983 +2LHYttmJ 138984 +0L/Qu9Cw0LI= 138985 +77yl 138986 +IGlsYQ== 138987 +IGlsYcOn 138988 +44KL44G544GN 138989 +INmF2YjZgtmB 138990 +4LiB4Lij4Li4 138991 +4LiB4Lij4Li44LiT4Liy 138992 +Y2hvZHrEhWM= 138993 +INGC0YvRgQ== 138994 +0JXQstGA0L4= 138995 +INmK2K3Yr9ir 138996 +44Oh44Kk44Oz 138997 +INin2YTYtdit2Yo= 138998 +INCU0LDQvQ== 138999 +2K/Yudin2KE= 139000 +44K044O844Or 139001 +16nXoNeq15k= 139002 +16nXoNeq15nXmded 139003 +4LiU4LmJ4Lin4Lii4LiB4Lix4LiZ 139004 +IG9sYWNhxJ/EsQ== 139005 +INeR157Xl9eZ16g= 139006 +15TXpw== 139007 +15TXp9ee16o= 139008 +44Oi44OO 139009 +IMOnYWzEscWfdMSx 139010 +IGrDs3ZlbmVz 139011 +44GE44GP44KJ 139012 +INmF2LnYr9mE 139013 +IEPFqW5n 139014 +IFNlZ8O6bg== 139015 +IGTDtm5lbWRl 139016 +INec15nXk9eZ 139017 +44GN44Gh 139018 +44GN44Gh44KT 139019 +44GN44Gh44KT44Go 139020 +2YHYsdmG2LM= 139021 +2YHYsdmG2LPYpw== 139022 +5ZCR44GN 139023 +IGNhbXBhw7Fh 139024 +INGB0LDQvNC+0YHRgtC+0Y8= 139025 +INGB0LDQvNC+0YHRgtC+0Y/RgtC10LvRjNC90L4= 139026 +4buA 139027 +2YLZiNin 139028 +2LPZhNin2K0= 139029 +4LiB4Lij4Liw4LmB 139030 +4LiB4Lij4Liw4LmB4Liq 139031 +INC/0L7Qu9GM0LfRgw== 139032 +bnF1 139033 +bnF1w6p0ZQ== 139034 +4Lij4LmI4Lin4Lih4LiB4Lix4Lia 139035 +64qQ64OQ 139036 +4LiX4Li14Lih4LiK4Liy4LiV4Li0 139037 +IHnEsWxsxLFr 139038 +7Iqs 139039 +INij2LXYrdin2Kg= 139040 +aWxsw6k= 139041 +IGTDs2xh 139042 +IGTDs2xhcmVz 139043 +INC60L7Qtg== 139044 +INC60L7QttC4 139045 +4Lil4LmJ4Lit 139046 +4LmA4Lij4Li14Lii4Lia4Lij 139047 +4LmA4Lij4Li14Lii4Lia4Lij4LmJ4Lit4Lii 139048 +4LmA4Lie4Li0 139049 +4LmA4Lie4Li04LmI4LiH 139050 +0YDQuNGC0L7RgNC4 139051 +IO2RnA== 139052 +IO2RnO2YhA== 139053 +INC/0LXRgNC10LI= 139054 +INC/0LXRgNC10LLQvtC0 139055 +16TXkteZ16LXlA== 139056 +IGRlxJ9lcmxlbmRpcm1l 139057 +2YHYp9im 139058 +INCy0YvQs9C+0LQ= 139059 +xLFuxLF6xLE= 139060 +15XXm9eZ15c= 139061 +INC00L7RgdGC0LjQsw== 139062 +IG5nw6Bu 139063 +5oCd44Gj44Gf 139064 +INCV0YHRgtGM 139065 +INin2YTYsdi62YU= 139066 +IHp3acSFemFuZQ== 139067 +2LHYqNi3 139068 +4LiZ4Li24LiH 139069 +INec15fXlden 139070 +IHN6Y3plZ8OzbG4= 139071 +IHN6Y3plZ8OzbG5pZQ== 139072 +INio2KfYs9iq2K7Yr9in2YU= 139073 +IGbDrXNpY28= 139074 +16LXoQ== 139075 +16LXodeV16c= 139076 +2LPZhNmI2YM= 139077 +INin2K3Yrw== 139078 +0YfRkdGC 139079 +15bXm9eU 139080 +IGzhu4duaA== 139081 +INmI2K3Yqg== 139082 +INmI2K3YqtmJ 139083 +4LiE4Lin4Liy4Lih4Liq4Liy4Lih4Liy4Lij4LiW 139084 +4Lit4Lii4Li54LmI4LmB4Lil4LmJ4Lin 139085 +4LiB4Liy4Lij4LmA4LiU4Li04LiZ4LiX4Liy4LiH 139086 +2KrYrtiw 139087 +16bXmdeV15M= 139088 +INin2YTYo9iz 139089 +INin2YTYo9iz2YfZhQ== 139090 +IHThu4c= 139091 +44Gj44Gm44GE44Gm 139092 +4Liq4Lij4Li4 139093 +4Liq4Lij4Li44Lib 139094 +INC60L7QvNGE 139095 +INC60L7QvNGE0L7RgNGC 139096 +7Jik64qU 139097 +INGA0LDQt9Cy 139098 +INGA0LDQt9Cy0LjQstCw 139099 +0LvQsNC90LQ= 139100 +aMOkbmdl 139101 +INio2YbYs9io2Kk= 139102 +4LmA4LiC4Li14Lii4Lin 139103 +16LXpted 139104 +INec15zXm9eq 139105 +0YHQvtGG0LjQsNC70YzQvQ== 139106 +IOuLpOydjOqzvA== 139107 +INeo16nXldee 139108 +157XqNeX15E= 139109 +2LPZgti3 139110 +IGFsYW7EsQ== 139111 +IMSR4buH 139112 +6aOf44G544KL 139113 +4LiU4Li24LiH 139114 +IGdlZ2Vuw7xiZXI= 139115 +INio2YfYsNmH 139116 +4LiW4Li34Lit4LmA4Lib4LmH4LiZ 139117 +65WF 139118 +4LiE4LiZ4LmE4LiX4Lii 139119 +44Ki44Km 139120 +44Ki44Km44OI 139121 +4Lio4Lix4LiB 139122 +4Lio4Lix4LiB4LiU4Li0 139123 +4Lio4Lix4LiB4LiU4Li04LmM 139124 +2YLZiNin2YY= 139125 +2YLZiNin2YbZitmG 139126 +IGjhu5lw 139127 +44Gq44GP44Gq44Gj44Gm 139128 +INeQ157XoA== 139129 +INeQ157XoNed 139130 +4LmA4LiV4Li34Lit4LiZ 139131 +INC30LDQstC40YHQuNC8 139132 +INC30LDQstC40YHQuNC80L7RgdGC0Lg= 139133 +16rXmdeQ 139134 +16rXmdeQ15XXqA== 139135 +5aeL44KB44Gf 139136 +IG5n4buN 139137 +IG5n4buNdA== 139138 +7ZKN 139139 +6rO87J6l 139140 +IGLhuqFp 139141 +44Gn44GN44Gm 139142 +IGNvbWXDp2Fy 139143 +4Lib4Lij4Liy4LiB 139144 +4Lib4Lij4Liy4LiB4LiP 139145 +INCz0L7QtNGL 139146 +0LzQtdGB 139147 +INin2YTZhdiz2KrZiNmJ 139148 +INGB0LDQvNGL0LU= 139149 +0LvQu9C10YA= 139150 +44Gj44Gm44GX44G+44GE44G+44GZ 139151 +44Go44Gu44GT44Go 139152 +YmnDsw== 139153 +4LiB4Lil4LmI4Lit4LiH 139154 +INin2YTYstmI2Kw= 139155 +44Gr6KGM44Gj44Gf 139156 +4LiE4LmI4Lit4LiZ 139157 +4LiE4LmI4Lit4LiZ4LiC4LmJ4Liy4LiH 139158 +IGJhxJ9s 139159 +IGJhxJ9sYW50 139160 +IGJhxJ9sYW50xLE= 139161 +56K644GL 139162 +56K644GL44Gr 139163 +44Oc44O844Or 139164 +57WC44KP44KK 139165 +16nXnteo 139166 +4LiX4Li14LmI4Liq4Liy4Lih4Liy4Lij4LiW 139167 +2YTYstmF 139168 +0LTQsNC10YLRgdGP 139169 +4Lij4Lix4Lia4Lib4Lij4Liw 139170 +4Lij4Lix4Lia4Lib4Lij4Liw4LiX4Liy4LiZ 139171 +5aSJ44KP44KK 139172 +77yi 139173 +IOyYiOyImOuLmA== 139174 +44KI44GG44Go 139175 +4Lih4Lix4LiB4LiI4Liw 139176 +IEjGsMahbmc= 139177 +2YbZgdiw 139178 +157Xk9eT 139179 +IOyduOyglQ== 139180 +0YXQvtC00LjRgtGM 139181 +INC30LDQstC40YHQuNGC 139182 +15XXk9eZ16I= 139183 +44GT44Go44GM44GC44KK44G+44GZ 139184 +2LnYsdin2YI= 139185 +2LPYt9it 139186 +4LiB4Liz4LmE4Lij 139187 +65Ok64+E 139188 +15nXpteZ16jXlA== 139189 +44GG44GT44Go 139190 +2YTYp9it2YI= 139191 +44GE44KM44Gw 139192 +INC40YHQv9C+0LvRjNC30YPRjtGC 139193 +IELhu59p 139194 +INep16fXnNeZ150= 139195 +0YbQuNC60Ls= 139196 +0JDQng== 139197 +INeR16nXoNeU 139198 +2YbYtNi3 139199 +INep15nXoNeV15k= 139200 +INep15nXoNeV15nXmded 139201 +IHBvYmxhY2nDs24= 139202 +IEjGsG5n 139203 +4Lij4Liw4Lin 139204 +4Lij4Liw4Lin4Lix4LiH 139205 +2LHZitin2LbYqQ== 139206 +2LHYtdiv 139207 +2KrZgtmE2Yo= 139208 +2KrZgtmE2YrYrw== 139209 +IMO8bGtlbQ== 139210 +IMO8bGtlbWl6 139211 +4LiK4Liw 139212 +44Kv44Oq44O844Og 139213 +6IGe44GE44Gf 139214 +IHdhxbw= 139215 +IHdhxbxuZQ== 139216 +6rGw65Og 139217 +6rGw65Og7JqU 139218 +157XkNeR16c= 139219 +15fXk9ep15XXqg== 139220 +IFdyb2M= 139221 +IFdyb2PFgmF3 139222 +IEvDvGx0w7xy 139223 +c2lzdA== 139224 +c2lzdMOqbmNpYQ== 139225 +16LXlteo15Q= 139226 +IGfGsMahbmc= 139227 +4Lij4LmJ4Liy4LiZ4LiE4LmJ4Liy 139228 +INmI2KPZiNi22K0= 139229 +w6FuZG9zZQ== 139230 +44K344O844Oz 139231 +15DXoNeo15I= 139232 +15DXoNeo15LXmdeU 139233 +44Gq44GE44Gn44GZ 139234 +IGto4bunbmc= 139235 +IOusuOyEnA== 139236 +INeR15PXkdeo 139237 +15PXmdeV 139238 +15PXmdeV15XXlw== 139239 +IHLDqWds 139240 +2YXZiNin2K8= 139241 +0L7QsdC+0YA= 139242 +0L7QsdC+0YDQvtGC 139243 +INeU15HXnA== 139244 +INeU15HXnNeV15I= 139245 +2K3Yp9mF 139246 +INin2YTYudin2LU= 139247 +INin2YTYudin2LXZhdip 139248 +0L/QtdGA0LDRgtC+0YA= 139249 +2KrYrtmE 139250 +2KrYrtmE2LU= 139251 +44Gf44Gg44GX 139252 +2KrYs9mF 139253 +4LmC4Lij4LiH4Lie 139254 +4LmC4Lij4LiH4Lie4Lii4Liy 139255 +4LmC4Lij4LiH4Lie4Lii4Liy4Lia4Liy4Lil 139256 +IFnDvGs= 139257 +IFnDvGtzZWs= 139258 +INep16DXmdeq 139259 +INep16DXmdeq158= 139260 +bGnEn2U= 139261 +INek16o= 139262 +INek16rXldeX 139263 +IGJlxJ8= 139264 +IGJlxJ9lbg== 139265 +INee15XXqA== 139266 +INee15XXqNeb15E= 139267 +INix2LPYp9mE2Kk= 139268 +7Ya17Iug 139269 +IGF2YWxpYQ== 139270 +IGF2YWxpYcOnw7Vlcw== 139271 +IG1hbmg= 139272 +IG1hbmjDow== 139273 +IOyVng== 139274 +IOyVnuycvOuhnA== 139275 +2YLYqtix 139276 +2YLYqtix2K0= 139277 +4LmA4LiB4Li34Lit 139278 +4LmA4LiB4Li34Lit4Lia 139279 +IHByb3Bvc8Op 139280 +2KPZhdin 139281 +2KPZhdin2YPZhg== 139282 +INCe0J4= 139283 +INCe0J7Qng== 139284 +2YXZgtin2LE= 139285 +2YXZgtin2LHZhtip 139286 +64SQ 139287 +44GE44Gf44Gg44GP 139288 +2YLZitmE 139289 +INC90LDRiNC40YU= 139290 +44Kr44OD44OX 139291 +15fXnNeq 139292 +IOuLpOunjA== 139293 +4LiX4Lix4LmI4Lin4LmC4Lil4LiB 139294 +44ON44K/ 139295 +2K3Ys9in2LM= 139296 +44Gr44Gq44KM 139297 +2KzYp9im 139298 +2KzYp9im2LLYqQ== 139299 +w6ljaGFuZ2U= 139300 +w6ljb25vbQ== 139301 +w6ljb25vbWll 139302 +0KLQmA== 139303 +16HXqteb15w= 139304 +4LiX4Lix4LmJ4LiH4Liq4Lit4LiH 139305 +INin2YTYrtin2YU= 139306 +INin2YTYrtin2YXYsw== 139307 +16fXmNei 139308 +YXV3YcW8 139309 +4Lic4Li54LmJ4LiK4Liy4Lii 139310 +4LmB4Lib4Lil4LiB 139311 +5ZCM5pmC44Gr 139312 +0LfQvdCw0L3QuNGP 139313 +44GE44Gf44Gg44GN44G+44GX44Gf 139314 +INee15HXnNeZ 139315 +4LiC4Lit4LmD4Lir4LmJ 139316 +INin2YTYqtix2KjZitip 139317 +IGTDqWNvdXZlcnQ= 139318 +IMW8eWNpdQ== 139319 +YXByw6hz 139320 +IHlhYg== 139321 +IHlhYmFuYw== 139322 +IHlhYmFuY8Sx 139323 +IGJhxZ9sYXlhbg== 139324 +7JeI642Y 139325 +IGhlc2FixLE= 139326 +IOunjOyVvQ== 139327 +66eI64uk 139328 +IFRow6FuaA== 139329 +44O044Kh 139330 +4Lib4Lij4Lix4Lia4Lib4Lij 139331 +4Lib4Lij4Lix4Lia4Lib4Lij4Li44LiH 139332 +IE3hurdj 139333 +4LmA4Lir4LiV4Li44Lic4Lil 139334 +INCR0LXQtw== 139335 +IGNhcGFjaXTDoA== 139336 +xYJlxZs= 139337 +INC/0YDQtdC40Lw= 139338 +INC/0YDQtdC40LzRg9GJ0LXRgdGC0LI= 139339 +IMWad2nEmXQ= 139340 +IHB1Ymxpw6k= 139341 +157Xotem15E= 139342 +2YXYtNin2LHZg9in2Ko= 139343 +4Lig4Liy4Lip 139344 +4Lig4Liy4Lip4Li1 139345 +IGRldXhpw6htZQ== 139346 +INmF2K3Yp9mB2Lg= 139347 +INmF2K3Yp9mB2LjYqQ== 139348 +IFNjaMO2bg== 139349 +772k 139350 +INeU15HXog== 139351 +INeU15HXoteZ15Q= 139352 +INmI2KfZhNmE2Yc= 139353 +6KiA44Gj44Gf 139354 +4LiV4LmJ4Liy4LiZ 139355 +4Lin4Lij4Lij4LiT 139356 +4LiX4Li04Lio 139357 +IGJhxZ/EsW5h 139358 +IG1vZ8SZ 139359 +16nXmdek15XXqA== 139360 +INmI2LnYrw== 139361 +INmI2LnYr9mF 139362 +IGhpc3TDs3JpY28= 139363 +IGvEsXPEsQ== 139364 +IOydtOqyjA== 139365 +IFBvbMOtdGljYQ== 139366 +INGB0LjRgtGD0LDRhtC40Lg= 139367 +IGtvxYRjYQ== 139368 +15HXk9eZ16fXlA== 139369 +INin2YTYs9mK2KfYsdin2Ko= 139370 +44Gq44KJ44Gw 139371 +44K144Op 139372 +44KL44GT44Go44GM44Gn44GN44KL 139373 +IGRlY2lzw6Nv 139374 +15XXldeT 139375 +bMOkc3M= 139376 +bMOkc3NpZw== 139377 +INec15nXqdeo15DXnA== 139378 +INmK2KPYqtmK 139379 +16jXldeW 139380 +w7bEnw== 139381 +w7bEn3JldA== 139382 +w7bEn3JldGlt 139383 +INC00LXQug== 139384 +INC00LXQutCw0LE= 139385 +INC00LXQutCw0LHRgNGP 139386 +INep15fXldeo 139387 +44Gm44GP44KM44Gf 139388 +2LnYqNin2LHYqQ== 139389 +IMOpbGVjdHJpcXVl 139390 +INin2YTYqtmG2YXZitip 139391 +2KzYsdmJ 139392 +IOyImO2WiQ== 139393 +4LiX4Li5 139394 +INGA0LXQsNC70YzQvdC+ 139395 +0YHQv9C+0YHQvtCx 139396 +4LiE4Lil4LmJ4Liy4Lii 139397 +INiz2LnZiNiv 139398 +w7Zuw7w= 139399 +INmB2YXZhg== 139400 +2KrZg9mI 139401 +2KrZg9mI2YrZhg== 139402 +INC60LDRh9C10YHRgtCy0L4= 139403 +INC60L7QvdGC0LDQug== 139404 +INC60L7QvdGC0LDQutGC 139405 +IHPDtnpsZcWfbWU= 139406 +4Lit4LmJ4Liy4LiH 139407 +INiq2YjZgQ== 139408 +INiq2YjZgdmK2LE= 139409 +15TXlteT 139410 +15TXlteT157XoNeV16o= 139411 +INi32YjZitmE2Kk= 139412 +IHTDqXJtaW5v 139413 +INeQ15nXpNeU 139414 +44OT44Or 139415 +4Liq4LmC4Lih 139416 +4Liq4LmC4Lih4Liq4Lij 139417 +INin2YTYp9ir 139418 +INin2YTYp9ir2YbZitmG 139419 +0LXQstC40Yc= 139420 +IG9waW5pw7Nu 139421 +4Lib4Lin4LiU 139422 +5Y+k44GE 139423 +4Lij4LmI4Liy 139424 +IEJpYcWC 139425 +INGB0YLQsNC7 139426 +INGB0YLQsNC70L4= 139427 +w7Nsb2dv 139428 +IOyVhOuLiOuLpA== 139429 +INeQ15nXqg== 139430 +INeQ15nXqteV 139431 +4LmA4Lir4LmH4LiZ4Lin4LmI4Liy 139432 +4Lia4Liy4Lij4LmM 139433 +54S8 139434 +54S844GN 139435 +IOydtOyaqeyekA== 139436 +INC90LXQutC+0YLQvtGA0YvQtQ== 139437 +a3N6 139438 +a3N6dGHFgg== 139439 +a3N6dGHFgmM= 139440 +44Kt44Oj44OD44K3 139441 +44Kt44Oj44OD44K344Oz44Kw 139442 +IHJvxZs= 139443 +IHJvxZtsaW4= 139444 +0YDQsNC20LA= 139445 +15HXoNeZ15nXlA== 139446 +4Lib4Lij4Liq4Li0 139447 +4Lib4Lij4Liq4Li04LiV 139448 +IGfDtnJkw7w= 139449 +157XoNeU15nXkg== 139450 +5aSJ44KP44Gj44Gm 139451 +INeQ15Q= 139452 +INeQ15TXkdeq15k= 139453 +4LmA4Lij4LmI4LiH 139454 +IMO2bsO8bmRl 139455 +IOq3uOuDpQ== 139456 +0L/QvtC70LjRgg== 139457 +0L/QvtC70LjRgtC40YfQtdGB0Lo= 139458 +44Oh44OH44Kj 139459 +44Oh44OH44Kj44Ki 139460 +IERldGF5 139461 +IERldGF5bMSx 139462 +INin2YTYtdmB2K3YqQ== 139463 +4LiB4Liy4Lij4LmA4LiH4Li04LiZ 139464 +IOy1nOq3vA== 139465 +15vXqdec 139466 +77yp 139467 +0LLRiNC10LPQvg== 139468 +7ZWY7Iuk 139469 +INCt0YI= 139470 +INCt0YLQvtGC 139471 +4Liq4Li3 139472 +4Liq4Li34Lia 139473 +IG5n4burbmc= 139474 +INC00L7QutGD0LzQtdC90YLQvtCy 139475 +0LTQsNCy0LDRgtGM 139476 +INin2YTYtNiu2LXZitip 139477 +INem16LXmdeo 139478 +2K/YsdmD 139479 +2LPYrdio 139480 +4LmE4Lih4LmI4LiE4LmI4Lit4Lii 139481 +INeU157Xp9eV157XmQ== 139482 +4Liq4Lix4LmI4LiH4LiL4Li34LmJ4Lit 139483 +IOq3uOqyg+ydhA== 139484 +44GC44KL44GE 139485 +44GC44KL44GE44Gv 139486 +15DXldeY15XXkQ== 139487 +15DXldeY15XXkdeV16E= 139488 +0LrRhtC40L7QvQ== 139489 +INCc0L7QttC90L4= 139490 +44GP44Gg 139491 +44GP44Gg44GV 139492 +INC40L3RhNC+0YDQvNCw0YbQuNGP 139493 +77uf 139494 +IOyekeyXhQ== 139495 +INeZ15XXodej 139496 +2KXYr9in2LHYqQ== 139497 +INin2YTYrdin2Kw= 139498 +16DXodeZ16LXlA== 139499 +0LjQt9Cw0YbQuNGP 139500 +15DXnNeR 139501 +15DXnNeR15XXnQ== 139502 +0L/QtdC0 139503 +INen15jXoNeU 139504 +INmG2YHYs9mH2Kc= 139505 +IE1pbmlzdMOpcmlv 139506 +INC/0LXQvQ== 139507 +INC/0LXQvdGB0Lg= 139508 +44OQ44Op44Oz44K5 139509 +INeU16rXldeo15Q= 139510 +IHThuqFt 139511 +IOyXreyLnA== 139512 +772h 139513 +IHRo4bux 139514 +IMSxc8Sx 139515 +7Luo 139516 +44GX44Gj44GL44KK44Go 139517 +IHjGsGE= 139518 +IGPhurdw 139519 +15fXmdeR15XXqA== 139520 +4Lin4Lix4LiS4LiZ4LiY4Lij4Lij4Lih 139521 +c3TDpHI= 139522 +c3TDpHJrZQ== 139523 +INGB0LDQvNGL0Lk= 139524 +cGlzYQ== 139525 +cGlzYcSH 139526 +IG9sdcWfYW4= 139527 +INin2YTYpdmF2KfZhQ== 139528 +IGPEg25n 139529 +IGfDvG5s 139530 +IGfDvG5sw7xr 139531 +INeg16nXkNeo 139532 +IGtoaeG7g24= 139533 +57aa44GR44KL 139534 +c3RpdHVjacOzbg== 139535 +IGNhcGFjaXTDqQ== 139536 +IGpha2k= 139537 +IGpha2nFmw== 139538 +0LLRiNC40YE= 139539 +0LLRiNC40YHRjA== 139540 +16TXoteV15zXldeq 139541 +INit2YrYp9iq 139542 +INit2YrYp9iq2Yc= 139543 +INC90LjQutC+0LPQtNCw 139544 +0JvQrA== 139545 +INeU16LXldeR 139546 +INeU16LXldeR15PXlA== 139547 +IGNow6Bv 139548 +4Lir4Lil4Liy4Lii4LmG 139549 +INGP0L0= 139550 +INGP0L3QstCw0YA= 139551 +INGP0L3QstCw0YDRjw== 139552 +4LiI4Liz4LmA4Lib4LmH4LiZ4LiV4LmJ4Lit4LiH 139553 +IGjDtmhlcg== 139554 +44GV44KM44Gm44GE44Gf 139555 +4Liq4LiH4Liq4Lix 139556 +4Liq4LiH4Liq4Lix4Lii 139557 +INin2YTYp9iz 139558 +INin2YTYp9iz2YTYp9mF 139559 +INin2YTYtNmF2LM= 139560 +4Liq4LiW4Liy4LiZ4Li1 139561 +44Kv44Op44K5 139562 +4Lie4Lij4Lij 139563 +4Lie4Lij4Lij4LiE 139564 +cMO1 139565 +cMO1ZQ== 139566 +IHBvcsOpbQ== 139567 +4Lib4Lij4Liw4Liq4LiH 139568 +4Lib4Lij4Liw4Liq4LiH4LiE4LmM 139569 +cG93aWVkemll 139570 +cG93aWVkemllxIc= 139571 +INC80L7Qs9GD 139572 +INC20LXQuw== 139573 +INC20LXQu9C10Lc= 139574 +INin2YTYq9mC 139575 +INin2YTYq9mC2KfZgdmK 139576 +INC/0YDQsNCy0LjQu9C+ 139577 +IGdkecW8 139578 +16TXqdeV15g= 139579 +0YDQsNCx0L7RgtC60LA= 139580 +INmD2LHYqQ== 139581 +2LTYr9iv 139582 +2YXYp9ix2YM= 139583 +2YXZg9ip 139584 +INC/0L7QtNC/0LjRgQ== 139585 +15jXldeV15c= 139586 +IMWbYw== 139587 +IMWbY2lhbg== 139588 +INix2KzYp9mE 139589 +INeq15zXldeZ 139590 +0LjRiA== 139591 +0LjRiNGM 139592 +IG3DqWRlYw== 139593 +IG3DqWRlY2lu 139594 +642U652864+E 139595 +INGC0LXQsdGP 139596 +INec15TXldeh15nXow== 139597 +44GK6Kmx 139598 +IOC5geC4leC5iOC4geC5hw== 139599 +2K/Yp9mB 139600 +2K/Yp9mB2Lk= 139601 +IEPDuW5n 139602 +44O744O744O744O7 139603 +6raB 139604 +IGRlYmVyw61h 139605 +4Lir4LiZ4LmI4Lin4Lii4LiH4Liy4LiZ 139606 +IHZhzIA= 139607 +INei16bXng== 139608 +INei16bXnted 139609 +4LmA4LiK4Li34LmI4Lit4Lin4LmI4Liy 139610 +16nXp9ei 139611 +INeU15vXldec 139612 +INeU15vXldec15w= 139613 +0L3QuNCx0YPQtA== 139614 +0L3QuNCx0YPQtNGM 139615 +IOuEiO2drA== 139616 +INC+0LHRgNCw0Yk= 139617 +INC+0LHRgNCw0YnQsA== 139618 +INei15HXldeT16o= 139619 +INin2YTZhdmG2KrYrtio 139620 +xLF5b3Jk 139621 +xLF5b3JkdQ== 139622 +2YjYsA== 139623 +15fXqdeZ15HXldeq 139624 +INeU16LXmden 139625 +INeU16LXmden16jXmQ== 139626 +7KKM 139627 +4Lii4Li44LmC4Lij 139628 +4Lii4Li44LmC4Lij4Lib 139629 +INCw0L/RgA== 139630 +INCw0L/RgNC10LvRjw== 139631 +c3plZA== 139632 +c3plZMWC 139633 +0LTQvtC9 139634 +4LmA4LiV4Li04Lia 139635 +4LmA4LiV4Li04Lia4LmC4LiV 139636 +0LrQvtC70L4= 139637 +IGthxbxkZWo= 139638 +5biw 139639 +5biw44KK 139640 +INC80LjQu9C70Lg= 139641 +INC80LjQu9C70LjQvtC9 139642 +576O5ZGz44GX44GE 139643 +2KrZgtin2LE= 139644 +2KrZgtin2LHZitix 139645 +IOydtOujqA== 139646 +IOydtOujqOyWtA== 139647 +IHNwcnplZGHFvA== 139648 +15TXldem15DXldeq 139649 +44Ki44Kv44K7 139650 +44Ki44Kv44K744K5 139651 +16jXldel 139652 +INCz0L7RgdGD0LTQsNGA0YHRgtCy0LXQvdC9 139653 +2KPYrdmD 139654 +2KPYrdmD2KfZhQ== 139655 +IG9sdcWfdQ== 139656 +IEHDpw== 139657 +IEHDp8Sxaw== 139658 +44K444O8 139659 +57Sg5pm0 139660 +57Sg5pm044KJ44GX44GE 139661 +INeR16nXkdeV16I= 139662 +2KjYsA== 139663 +2KjYsNmE 139664 +4Liq4Liy4LmA4Lir4LiV4Li4 139665 +IHBvem9zdGE= 139666 +IHBvem9zdGHFgg== 139667 +2K3YsdmF 139668 +IGltcG9ydMOibmNpYQ== 139669 +bGXFn3Rpcm1l 139670 +INC00YDQtdCy 139671 +IG3Ds3ZpbA== 139672 +IEF5bsSx 139673 +INC90LDQu9C+0LM= 139674 +INC90LDQu9C+0LPQvtCy 139675 +INeX15nXpNeU 139676 +INGE0L7RgNC80YM= 139677 +4LiX4LiU4Liq4Lit4Lia 139678 +IGtzacSFxbxraQ== 139679 +IG1hxYJl 139680 +2YXYs9ij2YQ= 139681 +2YXYs9ij2YTYqQ== 139682 +77y+77y+ 139683 +w6fDo2VzdGU= 139684 +w6l2aXRlcg== 139685 +INC60L7QvdGB0YLRgNGD0Lo= 139686 +INC60L7QvdGB0YLRgNGD0LrRhtC4 139687 +776e 139688 +INeq15XXm9eg 139689 +44K544OI44Os44K5 139690 +INin2YTYp9mC2KrYtdin2K/Zig== 139691 +157Xk9eZ 139692 +IHfFgmFk 139693 +IHfFgmFkeg== 139694 +2K7ZiNmB 139695 +INC80LDRgtC10YDQuNCw0LvQvtCy 139696 +44Go44Gj44Gm44KC 139697 +IHpuYWpkdQ== 139698 +IHpuYWpkdWrEhQ== 139699 +2YHYptip 139700 +44Gp44Gu44KI44GG44Gq 139701 +5oqR44GI 139702 +16DXl9ec 139703 +IGTDvG55 139704 +IGTDvG55YW4= 139705 +IGTDvG55YW7EsW4= 139706 +0LPRgNCw0L3QuA== 139707 +0LPRgNCw0L3QuNGH 139708 +INeU16nXnNeZ16nXmQ== 139709 +INeU15DXqQ== 139710 +5Y+K44Gz 139711 +7Iut7Iuc 139712 +7Iut7Iuc7Jik 139713 +INC00L7Qu9C7 139714 +INC00L7Qu9C70LDRgA== 139715 +INC/0L7QstGC0L7RgA== 139716 +INeX15nXoNed 139717 +16rXpNeq15c= 139718 +0YPQstC10LvQuA== 139719 +0YPQstC10LvQuNGH0LXQvQ== 139720 +44Kr44Oq 139721 +cmF3aWQ= 139722 +cmF3aWTFgm93 139723 +15XXldec 139724 +44Of44Ol 139725 +7L2Y 139726 +IEJ5xYI= 139727 +0JzQkA== 139728 +2LnZkA== 139729 +INGB0L7QstC10YDRiA== 139730 +INGB0L7QstC10YDRiNC10L3QvdC+ 139731 +INC80L7QuQ== 139732 +INeV15zXkNeX16g= 139733 +5oWj 139734 +5oWj44KM 139735 +2K3Yp9mB2Lg= 139736 +IOustOujjA== 139737 +4LiE4LiT4Liw4LiB4Lij4Lij4Lih 139738 +4LiE4LiT4Liw4LiB4Lij4Lij4Lih4LiB4Liy4Lij 139739 +IOyWtOuUlA== 139740 +IGRpZmVyZW4= 139741 +IGRpZmVyZW7Dp2E= 139742 +INin2YTYo9iz2KfYsw== 139743 +INin2YTYo9iz2KfYs9mK2Kk= 139744 +INec15DXl9eo15XXoNeU 139745 +6reg 139746 +INeU16nXoNeZ15nXlA== 139747 +7JyE7JuQ7J6l 139748 +4Lil4Li44LiB 139749 +w6dpbGVy 139750 +INeU15DXnNeV 139751 +6IGe44GP 139752 +INeV15DXpNeZ15zXlQ== 139753 +INGA0LXQsNC70LjQtw== 139754 +INGA0LXQsNC70LjQt9Cw0YbQuA== 139755 +4Lij4Liw4Lii4Liw4LmA4Lin4Lil4Liy 139756 +INis2K/Yp9mL 139757 +2KrYqNin2Lk= 139758 +IHZlaMOtY3Vsbw== 139759 +INC00L7Qu9Cz 139760 +4Lib4Lij4Li04Lih4Liy4LiT 139761 +7KaQ 139762 +INec157Xp9eV150= 139763 +IOyCrOynhA== 139764 +4LiK4LmJ4Liy 139765 +INee16LXldec15Q= 139766 +IGfDtnJt 139767 +IGfDtnJtZWs= 139768 +INmI2YfYsNmH 139769 +0L/QtdGA0LI= 139770 +0L/QtdGA0LLRi9GF 139771 +6re4656Y 139772 +INin2YTYqNix2YrYtw== 139773 +INin2YTYqNix2YrYt9in2YbZig== 139774 +INC40Y7QvdGP 139775 +INCT0L7RgA== 139776 +INec16nXnNed 139777 +0JDQnQ== 139778 +INC90LDQt9C90LDRh9C10L0= 139779 +0L7QvtGA 139780 +0L7QvtGA0YPQtg== 139781 +IMO2emVsbGk= 139782 +IMO2emVsbGnEn2k= 139783 +INC90LjQttC1 139784 +57aa44GR44Gm 139785 +INCw0YDQtdC90LQ= 139786 +IGthdMSxbMSx 139787 +IGthdMSxbMSxbQ== 139788 +INil2LfZhNin2YI= 139789 +INmI2KXYsNin 139790 +INC+0LrRgtGP 139791 +INC+0LrRgtGP0LHRgNGP 139792 +4LmC4LiV4Lk= 139793 +4LmC4LiV4LmK 139794 +4LmC4LiV4LmK4Liw 139795 +IG9sZHVrbGFyxLE= 139796 +2YXZiNmC2Lk= 139797 +64Kp 139798 +44Go5oCd44Gj44Gm44GE44KL 139799 +INep15nXm9eV15w= 139800 +4Lin4Liy4LiU 139801 +2LPZitmE 139802 +4LiC4Lin4Lix 139803 +4LiC4Lin4Lix4LiN 139804 +2KrYrdmD2YU= 139805 +7IKt 139806 +IGNvbm5hw650 139807 +16DXpNeq15c= 139808 +IGNo4bq3 139809 +IGNo4bq3bg== 139810 +INmF2K3ZhQ== 139811 +INmF2K3ZhdmI2K8= 139812 +44G0 139813 +INC/0YDQvtC00YPQutGG0LjQuA== 139814 +0LfQtNGA0LDQsg== 139815 +44GU6KY= 139816 +44GU6Kan 139817 +15DXkdeQ 139818 +IHbDqXJpdGFibGU= 139819 +INi32YHZhA== 139820 +44OI44Op44OW44Or 139821 +6rOh 139822 +INeq157Xldeg15Q= 139823 +IGtpw6pu 139824 +INmC2KfYr9ix 139825 +2KXZgtmE2YrZhQ== 139826 +INC/0YDQtdC00L/RgNC4 139827 +INC/0YDQtdC00L/RgNC40Y/RgtC40Y8= 139828 +IGLEg25n 139829 +IGF5xLFuZGE= 139830 +IGfhuqVw 139831 +0LXRhdCw0Ls= 139832 +IGdpw6BuaA== 139833 +INC00LDQsg== 139834 +INC00LDQstC90L4= 139835 +7JiA64uk 139836 +4LiZ4Lix4LiB4LmA4LiV 139837 +4LiZ4Lix4LiB4LmA4LiV4Liw 139838 +2YXYs9iq2LTYp9ix 139839 +2LPYqtix2KfYqtmK2Kw= 139840 +2LPYqtix2KfYqtmK2KzZig== 139841 +2LHZhdiy 139842 +IHTEqW5o 139843 +66Gt 139844 +INGH0LXRgg== 139845 +INGH0LXRgtGL 139846 +INGH0LXRgtGL0YDQtQ== 139847 +IEVudMOjbw== 139848 +INi12Lo= 139849 +INi12LrZitix2Kk= 139850 +15HXmdeY15XXnA== 139851 +2K7Yt9mI2Lc= 139852 +INGA0LDQt9Cy0LjRgtC40LU= 139853 +IGFtYWPEsXlsYQ== 139854 +4LiX4Li14Lin4Li1 139855 +INC+0YHRgg== 139856 +INC+0YHRgtCw0LvRjNC9 139857 +16nXldec15fXnw== 139858 +INeb16DXmdeh 139859 +INeb16DXmdeh15Q= 139860 +IGThuq15 139861 +IHlhxZ9heWFu 139862 +INee15TXldeV15Q= 139863 +INGD0YHQuA== 139864 +INGD0YHQuNC70Lg= 139865 +157XpNeZ 139866 +INC/0YDQvtCy0LXQtNC10L3QuNGP 139867 +INix2Kg= 139868 +INix2KjZhdin 139869 +INin2YTYo9mI2LPYtw== 139870 +IOycoOyngA== 139871 +IHByYWNvd25paw== 139872 +IHByYWNvd25pa8Ozdw== 139873 +157XodeV16jXqg== 139874 +2YLYp9ix2Kg= 139875 +4LiE4Lin4Liy4Lih4Lij4Li54LmJ4Liq4Li24LiB 139876 +4LmB4Lir4Lil4Liw 139877 +INin2YTZhtmC2K8= 139878 +INeQ15zXpNeZ 139879 +2YXYs9im 139880 +2YXYs9im2YjZhA== 139881 +0LXQstGL0YU= 139882 +0LrQu9GO0YfQtdC90LjRjw== 139883 +15HXmdeg 139884 +15HXmdeg15nXlNed 139885 +16nXldeQ15Q= 139886 +IMWfYXJr 139887 +IMWfYXJrxLE= 139888 +IHPDvHJlYw== 139889 +IHPDvHJlY2lu 139890 +4LmA4LiE4Lij4LiU 139891 +4LmA4LiE4Lij4LiU4Li04LiV 139892 +44OQ44Os 139893 +INi02KPZhg== 139894 +4LmA4Lit4Liy4LmE4Lin4LmJ 139895 +bmnEmWNpZQ== 139896 +16jXpteX 139897 +IGHFn2FtYQ== 139898 +16DXpNeS16I= 139899 +IHRo4bud 139900 +IGtodeG6qW4= 139901 +ZGnEn2luZGU= 139902 +0Y/RidC40YU= 139903 +44OY44Or 139904 +IMO8YmVyaA== 139905 +IMO8YmVyaGF1cHQ= 139906 +INGC0YDQtdCx0L7QstCw 139907 +IGTFgnVnaQ== 139908 +15jXmdef 139909 +4LiC4LiZ4Liy4LiU4LmD4Lir4LiN4LmI 139910 +INin2YTYo9mH 139911 +INin2YTYo9mH2YTZig== 139912 +IE3DvGQ= 139913 +IE3DvGTDvHLDvA== 139914 +INeZ15TXldeT15Q= 139915 +0YvQstCw0LXRgtGB0Y8= 139916 +2LPYp9i3 139917 +15TXqteg15TXkg== 139918 +15TXqteg15TXkteV16o= 139919 +4LiB4Liy4Lij4Lic4Lil4Li04LiV 139920 +7ZKA 139921 +4Liq4LiW4Liy4LiZ4LiB4Liy4Lij4LiT4LmM 139922 +INC+0YQ= 139923 +INC+0YTQuNGB 139924 +INmE2LnYqNip 139925 +IHN0cm9uxJk= 139926 +INeo15DXldeZ 139927 +15fXkdec 139928 +INGA0YvQvQ== 139929 +INGA0YvQvdC60LU= 139930 +INec157Xotef 139931 +2KfYs9mE 139932 +4Lir4Lix4LiZ 139933 +INeQ15fXmQ== 139934 +INC/0YDQvtC00L7Quw== 139935 +6rCA7J6F 139936 +INeR16jXlw== 139937 +INeR16jXl9eR15k= 139938 +0LTQttC10YA= 139939 +INec15fXnA== 139940 +INec15fXnNeV15g= 139941 +INec15fXnNeV15jXmdef 139942 +4Lio4Liy4Liq4LiZ4Liy 139943 +44Ki44Kk44OG 139944 +44Ki44Kk44OG44Og 139945 +INek16jXldek 139946 +2KzYstin2KE= 139947 +4Lil4Lit4Lii 139948 +IGNpYcWCYQ== 139949 +IGdp4bq/dA== 139950 +INC30L3QsNGH0LjRgtC10LvRjNC90L4= 139951 +IG9sbWFkxLHEnw== 139952 +IG9sbWFkxLHEn8SxbsSx 139953 +0L3QtA== 139954 +0L3QtNC10LrRgQ== 139955 +2KrYo9mD2K8= 139956 +IOyWuA== 139957 +IOyWuOygnA== 139958 +YXlkxLFu 139959 +44OJ44Os44K5 139960 +IHPhuq90 139961 +IO2YuO2FlA== 139962 +IOu2gQ== 139963 +IOu2ge2VnA== 139964 +44OR44Kk 139965 +INee16nXl9en15k= 139966 +4LiE4LiZ4Lit4Li34LmI4LiZ 139967 +INC40LfQs9C+0YLQvtCy 139968 +INC40LfQs9C+0YLQvtCy0LvQtdC9 139969 +4LmA4LiB4Li14Lii4Lij 139970 +4LmA4LiB4Li14Lii4Lij4LiV4Li0 139971 +16rXp9ep16g= 139972 +INGA0LDRgdGH0LXRgg== 139973 +4Liq4LmA4LiV 139974 +IGzDpG5nZXI= 139975 +IGnFn2xldA== 139976 +IGnFn2xldG1l 139977 +INi52YTZitmG 139978 +INi52YTZitmG2Kc= 139979 +w6lsZWN0aW9u 139980 +INin2YTYutix2KjZitip 139981 +7YuA 139982 +44KC44KJ44GI 139983 +INC60L3QuNCz0Lg= 139984 +2KPYs9mF 139985 +2KPYs9mF2KfYoQ== 139986 +IHRo4buP 139987 +IHRo4buPYQ== 139988 +4Lir4LiZ4Li5 139989 +INeg16LXqdeU 139990 +4Lig4Liy4Lii4LmD4LiV4LmJ 139991 +4Lie4Li34LiK 139992 +2LHZiti3 139993 +2YHZiNi2 139994 +44GC44KK44GM44Go44GG44GU44GW44GE44G+44GX44Gf 139995 +16nXk9eU 139996 +IG5n4buxYw== 139997 +INGB0LXRgNGM 139998 +INGB0LXRgNGM0LXQt9C9 139999 +VMO0aQ== 140000 +IGZpeWF0bGFyxLE= 140001 +INCy0YHRjg== 140002 +IEPDs2RpZ28= 140003 +INeU16nXkA== 140004 +INeU16nXkNec15Q= 140005 +IFDDumJsaWNh 140006 +2KXYrg== 140007 +2KXYrtmI2KfZhg== 140008 +INC30LDRj9Cy0LjQuw== 140009 +44Om44O8 140010 +16jXkNeZ16o= 140011 +dm9sdWNpw7Nu 140012 +IHN6a28= 140013 +IHN6a2/Fgnk= 140014 +2KzYsdmK2K/YqQ== 140015 +IHBlbnPDqQ== 140016 +7Ims 140017 +IELDvHnDvGvFn2VoaXI= 140018 +INij2YXYsdmK 140019 +INij2YXYsdmK2YPZig== 140020 +4LiZ4Lix4LiB4Lio4Li24LiB4Lip4Liy 140021 +IHRvZGF2 140022 +IHRvZGF2w61h 140023 +INCh0LDQvQ== 140024 +INCh0LDQvdC60YI= 140025 +7ZWY7J6Q 140026 +2K3ZiNin2YQ= 140027 +15vXldep16g= 140028 +4LmA4Lil4Lii4LiE4Lij4Lix4Lia 140029 +IGFsZ3U= 140030 +IGFsZ3XDqW0= 140031 +2YHYsg== 140032 +IMOnZWtpbA== 140033 +INeT16jXm9eZ150= 140034 +44OQ44Op 140035 +4LiB4LmH4Liq4Liy4Lih4Liy4Lij4LiW 140036 +4Liq4LmI4Lin4LiZ4Lil4LiU 140037 +7Y+w 140038 +IFDDumI= 140039 +IFDDumJsaWNv 140040 +4LmB4LiZ4Lin4LiX4Liy4LiH 140041 +15DXqteS16g= 140042 +2LTYp9i0 140043 +2LTYp9i02Kk= 140044 +Y2nFm25p 140045 +IMOccsO8bg== 140046 +2YTZiNit 140047 +INin2YTYqNmG 140048 +INin2YTYqNmG2YM= 140049 +7KGw7LmY 140050 +IG9yZ2FuaXphY2nDs24= 140051 +44GC44KK44GM44Go44GG44GU44GW44GE44G+44GZ 140052 +c8OkdHpl 140053 +INGB0LXQvNC10Lk= 140054 +2YLYtdiv 140055 +0YHRgtCy0LXQvdC90YvQtQ== 140056 +IHByw6ljw6lk 140057 +IHByw6ljw6lkZW50 140058 +4LiB4Lij4Li44LiH4LmA4LiX4Lie4Liv 140059 +44Go6KiA44GE 140060 +15HXoNeZ15nXnw== 140061 +INit2Yg= 140062 +INit2YjYp9mE2Yo= 140063 +16HXp9eh 140064 +IHNhxJ9sYW1haw== 140065 +INec16bXmdeZ158= 140066 +16fXk9ep 140067 +INeU157Xoteo15vXqg== 140068 +INec15TXoteR15nXqA== 140069 +IGfDvG5k 140070 +IGfDvG5kZW0= 140071 +INC90LDRiNC10LPQvg== 140072 +4LmD4LiZ4Lie4Li34LmJ4LiZ4LiX4Li14LmI 140073 +4LmA4LiE4Lij4Li34Lit 140074 +4LmA4LiE4Lij4Li34Lit4LiC 140075 +4LmA4LiE4Lij4Li34Lit4LiC4LmI4Liy4Lii 140076 +2LjYp9mH2LHYqQ== 140077 +2YXZhti42YU= 140078 +2YXZhti42YXYp9iq 140079 +2YXYqtin2LI= 140080 +6L+944GE 140081 +ZMSxa3Q= 140082 +ZMSxa3Rhbg== 140083 +IOuNlOyasQ== 140084 +INCd0LDQv9GA0LjQvNC10YA= 140085 +dHfDs3I= 140086 +157Xldei16bXlA== 140087 +2YPZiNmD 140088 +0Kk= 140089 +157XmNek15w= 140090 +w7NsaWNh 140091 +6Kiq44KM 140092 +IOuMgOu2gA== 140093 +IOuMgOu2gOu2hA== 140094 +44Kv44Oq44OD44Kv 140095 +44KS6YG4 140096 +44KS6YG444G2 140097 +IHBvd3N0YQ== 140098 +IHBvd3N0YcWC 140099 +IHJhesOzbg== 140100 +15HXldeX16g= 140101 +INGB0L7QvtCx0YnQuNC7 140102 +INen15HXldei 140103 +csOqdA== 140104 +4LiU4Li14LiC4Li24LmJ4LiZ 140105 +157Xodei15M= 140106 +157Xodei15PXldeq 140107 +IMOWc3RlcnJlaWNo 140108 +INeg15fXqdeR 140109 +2YXYqNin2K/Ysdip 140110 +7LSJ 140111 +15LXoNeY15k= 140112 +5L+h44GY 140113 +ZHXEnw== 140114 +ZHXEn3VudQ== 140115 +IHBow7o= 140116 +INin2YTYo9iu2YrYsQ== 140117 +INiq2LnYqtio2LE= 140118 +bGFuZMSxcsSxbA== 140119 +44Go44Gv44GE 140120 +44Go44Gv44GE44GI 140121 +INin2YTYt9mE 140122 +INin2YTYt9mE2KfYqA== 140123 +IE7Cug== 140124 +6YG/44GR 140125 +2KfZhNmF2Lk= 140126 +2KfZhNmF2LnYsdmI2YE= 140127 +4Liq4Lig4Liy 140128 +6Zui44KM 140129 +INC/0L7QvNC+0YnRjA== 140130 +INC30L3QsNC10YI= 140131 +44OX44Os44K8 140132 +44OX44Os44K844Oz44OI 140133 +IHN1cMOpcmlldXI= 140134 +INep15zXmdep15k= 140135 +INin2YTZhtmI2Lk= 140136 +44KT44Gn44GZ44Gt 140137 +4Lit4Lia4Lij4Lih 140138 +IGdp4buNbmc= 140139 +IHd6Z2zEmWQ= 140140 +INin2YTZgdmC2LE= 140141 +w6hyZW50 140142 +INee15DXlw== 140143 +INee15DXl9eV16jXmQ== 140144 +15LXkg== 140145 +15nXmdeR 140146 +2YXZhNin2Kg= 140147 +2YXZhNin2KjYsw== 140148 +IGjDvGvDvA== 140149 +IGjDvGvDvG1ldA== 140150 +INee15LXmdeR 140151 +INCe0Yc= 140152 +INCe0YfQtdC90Yw= 140153 +5pep44GE 140154 +IGNvbnN0cnVjY2nDs24= 140155 +IHRoxrDhu6NuZw== 140156 +77yL 140157 +IGNvcmHDp8Ojbw== 140158 +4LmA4Lir4Lil4LmH4LiB 140159 +IEJhxZ9i 140160 +IEJhxZ9iYWthbg== 140161 +6YCj44KM 140162 +44GZ44KL44GT44Go44GM44Gn44GN44G+44GZ 140163 +INmC2KfZhdiq 140164 +INin2YPYq9ix 140165 +2YHYp9i52YQ= 140166 +INGE0L7RgA== 140167 +INGE0L7RgNGD0Lw= 140168 +2LrYsNmK 140169 +IGnFn2xl 140170 +IGnFn2xlbWw= 140171 +IGnFn2xlbWxlcmk= 140172 +IOyCrOuejOydgA== 140173 +IOyekeyEsQ== 140174 +IOuniOugqA== 140175 +2YXYrNmE2LM= 140176 +4Lir4Lih4Li5 140177 +0LTQsg== 140178 +0LTQstC40LM= 140179 +0LTQstC40LPQsA== 140180 +4LmA4Liq4Li14Lii4LiK4Li14Lin4Li04LiV 140181 +15TXqtek16rXlw== 140182 +15TXqtek16rXl9eV16o= 140183 +INC80LXRgtGA0L4= 140184 +INGB0LXQvdGC 140185 +INGB0LXQvdGC0Y8= 140186 +INGB0LXQvdGC0Y/QsdGA0Y8= 140187 +6rOn 140188 +INec16TXog== 140189 +INec16TXotee15nXnQ== 140190 +4LmA4Lia4Li14Lii 140191 +6Kmz44GX44GP 140192 +55Ww44Gq44KL 140193 +IMSwbMOnZQ== 140194 +IEF0YXQ= 140195 +IEF0YXTDvHI= 140196 +IEF0YXTDvHJr 140197 +4Lij4Li44LmI4LiH 140198 +IGthbGTEsQ== 140199 +IOyjvOyepQ== 140200 +IHByw6lzZW5jZQ== 140201 +INC90LDQsQ== 140202 +INC90LDQsdC70Y4= 140203 +INC90LDQsdC70Y7QtNCw 140204 +INGB0LDQvNC+0LPQvg== 140205 +15LXldep 140206 +157XmNeV16Q= 140207 +157XmNeV16TXnA== 140208 +INCy0YvQsdC40YDQsA== 140209 +IOyekOumrA== 140210 +5YiG44GL44KJ44Gq44GE 140211 +INC30YPQsQ== 140212 +INep15vXkdeo 140213 +INiv2KfYpg== 140214 +INiv2KfYptmF2Kc= 140215 +INC/0LDRgNGC0Lg= 140216 +77yy 140217 +INin2YrYttin 140218 +INGF0L7Qtw== 140219 +INGF0L7Qt9GP 140220 +INGF0L7Qt9GP0Lk= 140221 +INGF0L7Qt9GP0LnRgdGC0LI= 140222 +INin2YTYo9is 140223 +INin2YTYo9is2YbYqA== 140224 +INin2YTYo9is2YbYqNmK2Kk= 140225 +INCX0L3QsA== 140226 +IEFww7Nz 140227 +INGN0L3QtdGA 140228 +INGN0L3QtdGA0LPQuA== 140229 +IHlhbnM= 140230 +IHlhbnPEsQ== 140231 +IEp1c3Rp 140232 +IEp1c3Rpw6dh 140233 +IHByw6l2dQ== 140234 +4Lih4Lin4Lil 140235 +7J6l64uY 140236 +4LiB4Lij4Liw4Lia 140237 +4LiB4Lij4Liw4Lia4Lin4LiZ 140238 +4LiB4Lij4Liw4Lia4Lin4LiZ4LiB4Liy4Lij 140239 +157Xng== 140240 +157XnteV16bXog== 140241 +IGjhurk= 140242 +IGjhurlu 140243 +0LfQtNCw0L3QuNC1 140244 +IGFrxZ8= 140245 +IGFrxZ9hbQ== 140246 +15jXldek 140247 +IGdlcmVrdA== 140248 +IGdlcmVrdGk= 140249 +IGdlcmVrdGnEn2luaQ== 140250 +IG5hcno= 140251 +IG5hcnrEmWR6aQ== 140252 +w6lwbw== 140253 +w6lwb3F1ZQ== 140254 +IFRo4bqnbg== 140255 +IHd5c29rbw== 140256 +IHd5c29rb8WbY2k= 140257 +4Lic4Li54LmJ4Lib 140258 +4Lic4Li54LmJ4Lib4LmI4Lin4Lii 140259 +INmK2KjYr9mI 140260 +0YLQtdC70YzQvdC+0LPQvg== 140261 +INCy0LfQs9C70Y/QtA== 140262 +IGplZG7EhQ== 140263 +IOydmOqyrA== 140264 +IOC4guC4k+C4sOC4l+C4teC5iA== 140265 +16TXmdeT 140266 +7IOB64u0 140267 +IG3hu6E= 140268 +15TXntec 140269 +15TXntec16bXldeq 140270 +INGB0L7RgdGC0L4= 140271 +INGB0L7RgdGC0L7QuNGC 140272 +INCw0LLQuA== 140273 +INCw0LLQuNCw 140274 +IEzDpG5kZXI= 140275 +2KrYtdmI2YrYsQ== 140276 +157Xk9eZ15Q= 140277 +7KCI7LCo 140278 +44Go44KK 140279 +44Go44KK44GC 140280 +44Go44KK44GC44GI 140281 +44Go44KK44GC44GI44Ga 140282 +INGA0Y/QtA== 140283 +INGA0Y/QtNC+0Lw= 140284 +IE5o4bqldA== 140285 +INin2YTZg9in2YXZhA== 140286 +15fXnNec 140287 +IEdp4bqleQ== 140288 +16bXmNeo 140289 +16bXmNeo16M= 140290 +INec15HXmNec 140291 +INC40LzQtdGC0Yw= 140292 +16HXnteV15o= 140293 +IHBhcnRpY2lwYcOnw6Nv 140294 +7ZWc64uk66m0 140295 +2YXZhtiq2K/Zig== 140296 +2YXZhtiq2K/Zitin2Ko= 140297 +IGXEn2xlbg== 140298 +Z8Okbmdl 140299 +2LHYqNit 140300 +44Ku44Oj 140301 +INin2YTYsdmC2YU= 140302 +4LiL4LmJ4Liz 140303 +IEjDs2E= 140304 +157XqNeX16c= 140305 +2K3Zhdin2YU= 140306 +2KjZiNmD 140307 +IEFydMOtY3Vsbw== 140308 +44OE44Ki44O8 140309 +15TXpNeb15Q= 140310 +15fXnNeV158= 140311 +INC/0LXRgNC10YXQvtC0 140312 +bGVubWnFnw== 140313 +2LLYsdin2LnYqQ== 140314 +IHNlw7Fvcg== 140315 +44Gj44Gm44GN44Gm 140316 +2KXYtA== 140317 +2KXYtNin2LHYqQ== 140318 +IHBvZMOtYQ== 140319 +IMOcbGtl 140320 +0L3RgdC60LDRjw== 140321 +IGFkYXB0w6k= 140322 +IGTDvHplbmxlbg== 140323 +IGTDvHplbmxlbmVu 140324 +INGB0YLQsNC70LA= 140325 +INmK2K3Yqtin2Kw= 140326 +IG5pZXI= 140327 +IG5pZXJ1Y2g= 140328 +IG5pZXJ1Y2hvbW8= 140329 +IG5pZXJ1Y2hvbW/Fm2Np 140330 +44GT44Go44GM44GC44KL 140331 +4Lii4Lit4LiU4LmA4Lii4Li14LmI4Lii4Lih 140332 +INmF2Kw= 140333 +INmF2KzYp9mG2Yo= 140334 +INC30LDQsQ== 140335 +INC30LDQsdC+0Ls= 140336 +INC30LDQsdC+0LvQtdCy 140337 +INC30LDQsdC+0LvQtdCy0LDQvdC40Y8= 140338 +IMWbcm8= 140339 +IMWbcm9kaw== 140340 +IMWbcm9ka8Ozdw== 140341 +INeU15zXkNeV157XmQ== 140342 +IGRva8WCYWQ= 140343 +IGRva8WCYWRuaWU= 140344 +44Gf44GP44Gq44GE 140345 +44Gv44Ga44Gn44GZ 140346 +44Go5oCd44Gj44Gm44GE44Gf 140347 +w6ljcmFu 140348 +7JeF7LK0 140349 +dHJ6eW1hxYI= 140350 +0YHRgtCy0LXQvdC90YvQuQ== 140351 +IE5vdMOtYw== 140352 +IE5vdMOtY2lhcw== 140353 +2YXYsdmK 140354 +2YXYsdmK2LY= 140355 +5rCX6Ls= 140356 +5rCX6Lu9 140357 +5rCX6Lu944Gr 140358 +65Oj 140359 +INeT15XXkNeo 140360 +INec157XoA== 140361 +INec157XoNeV16I= 140362 +IMOnYWzEscWfxLF5b3I= 140363 +IMWfaWRk 140364 +IMWfaWRkZXQ= 140365 +IE3hurd0 140366 +IGF0ZcWf 140367 +INC/0L7Qu9GD0YfQtdC90LjRjw== 140368 +4LmA4LiE4Lij4Li34LmI4Lit4LiH4Lih4Li34Lit 140369 +IGdyw7bDn2Vy 140370 +2K/Yp9im 140371 +2K/Yp9im2LHYqQ== 140372 +IGJ1bHVu 140373 +IGJ1bHVubWFrdGFkxLFy 140374 +4LmA4Lir4Lij 140375 +4LmA4Lir4Lij4Li14Lii 140376 +4LmA4Lir4Lij4Li14Lii4LiN 140377 +4LiZ4Lix4LiB4LiX4LmI4Lit4LiH4LmA4LiX4Li14LmI4Lii4Lin 140378 +IGFsYW7EsW5kYQ== 140379 +INGD0LfQvdCw 140380 +INC70LXRh9C10L3QuNC1 140381 +5aOy44KM 140382 +IMOnZXZpcg== 140383 +IGRlc3RlxJ9p 140384 +IGhlacOfdA== 140385 +4pay 140386 +2K3Ytw== 140387 +4LiE4Liz4LiV4Lit4Lia 140388 +44Kq44Oz44Op44Kk44Oz 140389 +INeR15fXmdeZ150= 140390 +44Om44OL 140391 +IGTDvHplbmxlbWU= 140392 +IG1vZGFsaXTDoA== 140393 +2LPYsdi3 140394 +2LPYsdi32KfZhg== 140395 +157Xm9eV158= 140396 +INC00LDQvdC90YvQuQ== 140397 +2KrYsdiq 140398 +2KrYsdiq2YrYqA== 140399 +4Lia4Liy4LiH4LiE4LiZ 140400 +IMSQ4buLbmg= 140401 +4Lih4Li54Lil 140402 +4Lih4Li54Lil4LiE4LmI4Liy 140403 +2YbZgti1 140404 +4LiB4Liy4Lij4Lij4Lix4LiB4Lip4Liy 140405 +INGE0L7QvQ== 140406 +INGE0L7QvdC0 140407 +44KI44GG44Gr44Gq44Gj44Gf 140408 +2YXYudin2YQ= 140409 +2YXYudin2YTYrNip 140410 +IE9zbWFu 140411 +IE9zbWFubMSx 140412 +0LjRh9C10YHQutC+0Lw= 140413 +4Lit4Lii4Liy4LiB4LiI4Liw 140414 +44GV44G+44GW 140415 +44GV44G+44GW44G+ 140416 +44GV44G+44GW44G+44Gq 140417 +INeq15XXm9ec 140418 +16LXpteR 140419 +INin2YTYudiz2YM= 140420 +INin2YTYudiz2YPYsdmK 140421 +IHbDqWhpYw== 140422 +IHbDqWhpY3VsZQ== 140423 +INeZ16bXl9en 140424 +INin2YTZiNit 140425 +INin2YTZiNit2YrYrw== 140426 +INin2YTYudiv2Yg= 140427 +IFF14bqjbg== 140428 +IOqzteuPmQ== 140429 +2KjYr9mE 140430 +IMSR4bqjbmc= 140431 +IG3hu4duaA== 140432 +IG5pZXpi 140433 +IG5pZXpixJk= 140434 +IG5pZXpixJlkbg== 140435 +IHlhecSxbmxhbg== 140436 +0L7QsdGJ0Lg= 140437 +IGfDtnTDvHI= 140438 +16bXpA== 140439 +16bXpNeV15k= 140440 +INmE2YrYqNmK 140441 +INmE2YrYqNmK2Kc= 140442 +2K3ZiNin 140443 +INC00L7QsQ== 140444 +INC00L7QsdGA0L4= 140445 +0LjRgNGD0LXQvA== 140446 +INin2YTYrdmD2YjZhdmK2Kk= 140447 +bcOkw59pZw== 140448 +IGVkaWNpw7Nu 140449 +0LLQu9C10LrQsNGC0LXQu9GM 140450 +0LLQu9C10LrQsNGC0LXQu9GM0L0= 140451 +INeq16nXnNeV150= 140452 +INeU16nXldeg15nXnQ== 140453 +4Lih4Li04LiW4Li4 140454 +4Lih4Li04LiW4Li44LiZ 140455 +4Lih4Li04LiW4Li44LiZ4Liy4Lii4LiZ 140456 +6aOf44G544Gm 140457 +IOyImOynkQ== 140458 +16HXkdeZ 140459 +INC40Y7Qu9GP 140460 +IOC5hOC4lOC5ieC5geC4geC5iA== 140461 +15zXl9ed 140462 +dHLDpA== 140463 +dHLDpGd0 140464 +44Gd44KC44Gd44KC 140465 +0J3QlQ== 140466 +INCy0L3Rg9GC 140467 +INCy0L3Rg9GC0YDQuA== 140468 +44Go5LiA57eS44Gr 140469 +44Kr44OV44Kn 140470 +INeR15fXk9eo 140471 +15fXntep 140472 +44Ko44ON 140473 +44Ko44ON44Or 140474 +44Ko44ON44Or44Ku 140475 +44Ko44ON44Or44Ku44O8 140476 +4LiC4Lit4LiH4LiV4Lix4Lin4LmA4Lit4LiH 140477 +2KjZgtin2KE= 140478 +16TXodeZ15s= 140479 +16TXodeZ15vXldec15XXkg== 140480 +44Oh44OD 140481 +44Oh44OD44K7 140482 +44Oh44OD44K744O844K4 140483 +2YTZgtio 140484 +QcSe 140485 +16nXp9eZ16I= 140486 +2YLYs9in2YU= 140487 +15PXldeS157XlA== 140488 +5rex44GE 140489 +7ZaI64qU642w 140490 +IHJvendpxIV6YW5pZQ== 140491 +4LiZ4Lix4LmI4LiZ4LmA4Lit4LiH 140492 +15nXpteR 140493 +IHRyw7RuZw== 140494 +4LmD4LiK4LmJ4Lia4Lij4Li04LiB4Liy4Lij 140495 +INin2YTZhdmI2LPZhQ== 140496 +INC00LXRgtC4 140497 +44GX44GL44Gq44GE 140498 +16HXmdef 140499 +IHLDqWbDqXJlbmNl 140500 +4LmB4Lir4LmJ4LiH 140501 +44KC44KJ44Gj44Gf 140502 +INec16jXmw== 140503 +INec16jXm9eV16k= 140504 +2LTYudmI2LE= 140505 +INCR0L7Qsw== 140506 +IGxhesSxbQ== 140507 +INeZ16nXoNed 140508 +INC/0LDRgNGC 140509 +INC/0LDRgNGC0L3QtdGA 140510 +INGD0L3QuNC60LA= 140511 +INGD0L3QuNC60LDQu9GM0L0= 140512 +IG1hdMOpcmllbA== 140513 +157XqNen 140514 +IHBoxrDhu51uZw== 140515 +INC30LDQuQ== 140516 +INC30LDQudC8 140517 +2YHZgtiv 140518 +VW5pdmVyc2l0w6A= 140519 +16LXqNeb15nXnQ== 140520 +IGJhw7Fv 140521 +INC90L7Rjw== 140522 +INC90L7Rj9Cx0YDRjw== 140523 +4Lib4LmJ4Liy4Lii 140524 +IHRhdHM= 140525 +IHRhdHPDpGNo 140526 +IHRhdHPDpGNobGljaA== 140527 +INGC0YDQtdGC0Yw= 140528 +0Y3QvA== 140529 +44OZ44O844K5 140530 +IG5o4buxYQ== 140531 +7Iqk7YGs 140532 +INi52KjYr9in2YTZhNmH 140533 +INeq15XXqNeU 140534 +2KPYtNmK 140535 +2KPYtNmK2KfYoQ== 140536 +INmE2YTYutin 140537 +INmE2YTYutin2YrYqQ== 140538 +2YXZiNin2YI= 140539 +2YXZiNin2YLZgQ== 140540 +IGfFgsOzd25h 140541 +IGFydMSxxZ8= 140542 +INee16fXldee15k= 140543 +44Kv44Op44OW 140544 +INiz2YjZiQ== 140545 +IOyXrOyEsQ== 140546 +2KfYs9ix 140547 +2KfYs9ix2KfYptmK2YQ= 140548 +INeg15vXqteR 140549 +4Lii4LmJ4Lit4LiZ 140550 +IGRlYmVyw6E= 140551 +IHBo4bqrdQ== 140552 +0Y7RidC10Lw= 140553 +INmE2K/ZitmG2Kc= 140554 +157XmNeU 140555 +INeg15XXnNeT 140556 +INCy0YHRgtGA0LXRh9Cw 140557 +44KJ44KM44Gm44GE44G+44GZ 140558 +IGNhxYJlag== 140559 +4Lii4Li2 140560 +4Lii4Li24LiU 140561 +0L/QvtGC0LXQvQ== 140562 +0L/QvtGC0LXQvdGG0Lg= 140563 +INC70LjRgg== 140564 +INC70LjRgtC10YA= 140565 +INC70LjRgtC10YDQsNGC0YPRgA== 140566 +INC60LDQttC00L7QvA== 140567 +IO2MkA== 140568 +IO2MkOuLqA== 140569 +4LiI4Li5 140570 +IHByZXNlbsOnYQ== 140571 +44Gq44KT44Gn 140572 +2YXZitin2Yc= 140573 +0LjQvdGE0L7RgNC8 140574 +0LjQvdGE0L7RgNC80LDRhtC40L7QvQ== 140575 +0LjQvdGE0L7RgNC80LDRhtC40L7QvdC9 140576 +IOyekOyXsA== 140577 +16jXm9ep 140578 +IMO2ZMO8bA== 140579 +57aa44GP 140580 +INC/0YE= 140581 +INC/0YHQuNGF 140582 +INC/0YHQuNGF0L7Qu9C+0LM= 140583 +2KrYsNmD2LE= 140584 +IOyeheyepQ== 140585 +4Lil4LiU4LmM 140586 +7ISg6rGw 140587 +44Gj44Gm44GK44KK44G+44GZ 140588 +INeZ16I= 140589 +INeZ16LXp9eR 140590 +INin2YTYt9i52KfZhQ== 140591 +44OG44K544OI 140592 +IFR14bqlbg== 140593 +IHBhcnRpY2lwYWNpw7Nu 140594 +157Xldee15fXlA== 140595 +15LXqNeh15Q= 140596 +INin2YTYqtmG2YHZig== 140597 +INin2YTYqtmG2YHZitiw2Yo= 140598 +INCx0LXQt9C+0L/QsNGB0L0= 140599 +Z2Vm 140600 +Z2Vmw6Rocg== 140601 +2LTZiNix 140602 +IG15xZtsaQ== 140603 +2YjYp9i02YY= 140604 +2YjYp9i02YbYt9mG 140605 +16DXldeh16I= 140606 +2YPZhw== 140607 +2YPZh9ix2Kg= 140608 +2YPZh9ix2KjYp9ih 140609 +IG11c2lhxYI= 140610 +7Iu4 140611 +44OW44Op44OD44Kv 140612 +IGNyw6nDqQ== 140613 +2YbZh9in2LE= 140614 +b3dvxZvEhw== 140615 +2YXYrdin2YPZhQ== 140616 +IHfFgmHFmw== 140617 +IHfFgmHFm2M= 140618 +IHfFgmHFm2NpY2llbA== 140619 +INmK2KQ= 140620 +INmK2KTYr9mK 140621 +157XoteV16A= 140622 +15DXkdec 140623 +2K7Yt9ij 140624 +INGF0L7Qu9C+0LQ= 140625 +15bXldec 140626 +44GT44KM44KJ 140627 +44GT44KM44KJ44Gu 140628 +IGLDoXNpY2E= 140629 +4Lik4LiU 140630 +4Lik4LiU4Li54LiB 140631 +4Lik4LiU4Li54LiB4Liy 140632 +4Lik4LiU4Li54LiB4Liy4Lil 140633 +6JC944Gh552A 140634 +44Gq44GE44GT44Go 140635 +2LXZiNmF 140636 +2YbYrNit 140637 +16DXp9eV15M= 140638 +16DXp9eV15PXqg== 140639 +0LrQu9Cw0YHRgQ== 140640 +7ZWY7Iuc64qU 140641 +64SY 140642 +INep15DXmdeg15U= 140643 +INCh0LXQudGH0LDRgQ== 140644 +bWF5YWNhxJ/EsQ== 140645 +IHlhcMSxbMSxcg== 140646 +IGNhdGVnb3LDrWE= 140647 +2LnYqNin2K8= 140648 +INCi0LXQvw== 140649 +INCi0LXQv9C10YDRjA== 140650 +15TXmdeh15jXldeo15k= 140651 +aOG6vw== 140652 +44Kz44O844OJ 140653 +IGNhYmXDp2E= 140654 +2KzZhdin 140655 +2KzZhdin2Yc= 140656 +2KzZhdin2YfZitix 140657 +5L2O44GE 140658 +INGC0L7QstCw0YDQvtCy 140659 +4LiK4Liy4Lin4Lia4LmJ4Liy4LiZ 140660 +INGB0YLQsNC90L7Qsg== 140661 +INGB0YLQsNC90L7QstC40YLRgdGP 140662 +INCw0LLRgtC+0LzQvtCx0LjQu9GM 140663 +INGB0LvRg9GH0LDQuQ== 140664 +4Lit4Lix4Lie 140665 +IEdpcmnFnw== 140666 +IOydvOuLqA== 140667 +INC/0YDQvtGB 140668 +INC/0YDQvtGB0LzQvtGC0YA= 140669 +44Gq44GP44Gq44Gj44Gf 140670 +4Lih4Li14Lib4Lix4LiN4Lir4Liy 140671 +77qO 140672 +w6ljb3V0ZQ== 140673 +INmF2YjYrNmI2K8= 140674 +INiz2LHZiti5 140675 +INmI2YfZhtin 140676 +INmI2YfZhtin2YM= 140677 +4LiE4Li44LiT4Liq4Lih 140678 +4LiE4Li44LiT4Liq4Lih4Lia4Lix4LiV4Li0 140679 +IOyasOyEoA== 140680 +4Lie4Lij4Liw4Lie4Li44LiX4LiY 140681 +5aW944G/ 140682 +2LjZhNmF 140683 +INC80LDQutGB 140684 +INC80LDQutGB0LjQvNCw0LvRjA== 140685 +INC80LDQutGB0LjQvNCw0LvRjNC90L4= 140686 +44Oq44Ki44Or 140687 +4LmB4Lih4LmJ4Lin4LmI4Liy 140688 +INin2YTYrdmI2KfYsQ== 140689 +44OX44Op44K5 140690 +INi52YTYp9mC2Kk= 140691 +IO2WieuPmQ== 140692 +IGfDtm5kZXJpbA== 140693 +IGzDo2k= 140694 +IHNhxJ9sxLFrbA== 140695 +IHNhxJ9sxLFrbMSx 140696 +INGI0LDQsw== 140697 +INeR15DXqNeU 140698 +cHJvd2FkemnEhw== 140699 +44GE44GP44Gk44GL 140700 +INio2KrYp9ix2YrYrg== 140701 +INeR15DXldeq15Q= 140702 +IG3Ds2M= 140703 +INCc0L3QtQ== 140704 +44OX44Os44O8 140705 +15DXlteo15c= 140706 +5aC05ZCI44Gr44Gv 140707 +5L2/44GI 140708 +4LmA4Lij4Li34Lit4LiZ 140709 +INCf0LXRgg== 140710 +INCf0LXRgtGA 140711 +44Gr5YWl44KL 140712 +2YXYp9iv2Kk= 140713 +4LmA4LiH4Li34LmI4Lit4LiZ 140714 +4LmA4LiH4Li34LmI4Lit4LiZ4LmE4LiC 140715 +INGB0L7RgdGC0L7Rj9C90LjQtQ== 140716 +w7RuaWNh 140717 +INGE0LXQsg== 140718 +INGE0LXQstGA0LA= 140719 +INGE0LXQstGA0LDQu9GP 140720 +INeV15Y= 140721 +INeV15bXkNeq 140722 +4LiE4Lij4Li0 140723 +4LiE4Lij4Li04Liq 140724 +INCV0YnQtQ== 140725 +44Gj44Gm44GX44G+44GE44G+44GX44Gf 140726 +INC/0YDQsNCy0LjRgtC10LvRjA== 140727 +INC/0YDQsNCy0LjRgtC10LvRjNGB0YLQsg== 140728 +IHTDpGdsaWNo 140729 +IOuLueyLnA== 140730 +157Xldei157Xkw== 140731 +INC00LLQvtGA 140732 +5omV 140733 +5omV44GE 140734 +INGB0YLQsNC90LXRgg== 140735 +INCy0L7Qt9C00LXQudGB0YLQsg== 140736 +INCy0L7Qt9C00LXQudGB0YLQstC4 140737 +IGbDqnRl 140738 +4LmA4Liq4Liy 140739 +16rXp9eV15XXlA== 140740 +IHV5YXI= 140741 +IHV5YXLEsQ== 140742 +4LiB4Lil4Lix4Lia4LmE4Lib 140743 +IGdpxrDhu51uZw== 140744 +INCy0LA= 140745 +INCy0LDRiNC4 140746 +IMSR4bqtdQ== 140747 +IFNwYcOf 140748 +IOyVhOuniA== 140749 +4LmE4LiU4LmJ4LiH4LmI4Liy4Lii 140750 +INeU157Xkden16k= 140751 +5paw44Gf 140752 +5paw44Gf44Gq 140753 +xLFsxLF5b3I= 140754 +0L/Qu9Cw0L0= 140755 +INeU15HXqNeZ15DXldeq 140756 +IGHEn3LEsQ== 140757 +IHNheWfEsQ== 140758 +5bu644Gm 140759 +IG5hand5xbw= 140760 +IG5hand5xbxzeg== 140761 +2LPZitin2LPYp9iq 140762 +44GK5b6X 140763 +INin2YTYudmE2Yo= 140764 +INin2YTYudmE2YrYpw== 140765 +IGNvcmF6w7Nu 140766 +7LmY66OM 140767 +4Lir4Lix4Lin4LiC4LmJ4Lit 140768 +INio2K3Zig== 140769 +INio2K3Zitir 140770 +0LfQstC10LfQtA== 140771 +2KjZiNin2KjYqQ== 140772 +0JvQmA== 140773 +2YTYp9iy2YU= 140774 +IHJvenA= 140775 +IHJvenBvYw== 140776 +IHJvenBvY3rEmQ== 140777 +6Kem44KM 140778 +INin2YTYrNmF2Yc= 140779 +INin2YTYrNmF2YfZiNix 140780 +IHNwxJlk 140781 +IHNwxJlkeg== 140782 +4Lin4Li04LiX4Lii4Liy4Lio4Liy4Liq4LiV4Lij4LmM 140783 +0LjQstCw0LXRgtGB0Y8= 140784 +INC00LDQvdC90L7QuQ== 140785 +IHJlcHLDqXNlbnRl 140786 +IMSR4buLY2g= 140787 +INei157Xlden 140788 +4Lit4Lix4LiZ4LiV4Lij 140789 +4Lit4Lix4LiZ4LiV4Lij4Liy4Lii 140790 +IGVzdHJhdMOpZw== 140791 +IGVzdHJhdMOpZ2lh 140792 +cGFkxYI= 140793 +INCy0L/QvtC70L0= 140794 +INCy0L/QvtC70L3QtQ== 140795 +INC/0YDQtdC00L7RgdGC0LDQstC70LXQvQ== 140796 +15fXnNeV16c= 140797 +15fXnNeV16fXqg== 140798 +44Ki44OK 140799 +INin2YTYutiw 140800 +INin2YTYutiw2KfYptmK 140801 +INGD0LfQvQ== 140802 +INGD0LfQvdCw0YLRjA== 140803 +4LiL4LmJ4Liy4Lii 140804 +5b2T44Gm 140805 +2K3Zitin2KE= 140806 +IGLDoXNpY28= 140807 +16fXldeR16I= 140808 +INin2YTZhdio2KfYsdin2Kk= 140809 +INin2YTZh9in2KrZgQ== 140810 +INeb16DXkteT 140811 +4Lib4Lij4Liw4Lir4Lii 140812 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140854 +INC00LXRj9GC0LXQu9GM0L3QvtGB0YLRjA== 140855 +INC00LDQvdC90YvQvA== 140856 +INei15XXqA== 140857 +INei15XXqNeb15k= 140858 +15XXk9ei16o= 140859 +IGhheWF0xLFuxLE= 140860 +IGLEhWQ= 140861 +IGLEhWTFug== 140862 +b2JzxYJ1Zw== 140863 +4LmA4Lie4Li14Lii4LiH4LmB4LiE4LmI 140864 +4LiL4LmI4Liy 140865 +6LKg44GR 140866 +INGB0YLRgNC10Lw= 140867 +IMSR4buJbmg= 140868 +INCg0YPRgQ== 140869 +IE7hu68= 140870 +INec15TXqdeZ15I= 140871 +IGplZG5vYw== 140872 +IGplZG5vY3pl 140873 +IGplZG5vY3plxZtuaWU= 140874 +INeU15LXkdeV15Q= 140875 +2KPYrtmE2KfZgg== 140876 +INC90LDRgdC10Ls= 140877 +INC90LDRgdC10LvQtdC90LjRjw== 140878 +INmK2YbYqA== 140879 +INmK2YbYqNi62Yo= 140880 +44GM44GL 140881 +44GM44GL44GL 140882 +15LXoteq 140883 +0J7QoA== 140884 +INC90LDQu9C40YfQuNC4 140885 +IOuniOyngA== 140886 +IOuniOyngOuniQ== 140887 +IO2WieyCrA== 140888 +IHRyZcWbY2k= 140889 +IOqwgOy5mA== 140890 +7KaY 140891 +INCw0L3QsNC70L7Qsw== 140892 +15TXptei16o= 140893 +0LLQu9Cw0LQ= 140894 +0LLQu9Cw0LTQtQ== 140895 +INGB0LTQtdC70LDQuw== 140896 +INeg15LXmdep 140897 +INeg15LXmdep15XXqg== 140898 +0L/QvtC70L3QtdC90LjQtQ== 140899 +4LiG4LmI4Liy 140900 +IETDtm4= 140901 +15vXnNeb15zXlA== 140902 +157XlteS 140903 +2YXZgQ== 140904 +2YXZgdmH 140905 +2YXZgdmH2YjZhQ== 140906 +15TXkw== 140907 +15TXk9ek16E= 140908 +15TXk9ek16HXlA== 140909 +44GZ44GO44Gm 140910 +INCz0YA= 140911 +INCz0YDQvQ== 140912 +157XmNeV16E= 140913 +IOq4sOyWtQ== 140914 +776f 140915 +IHDFgnlu 140916 +IEdyw7xuZGU= 140917 +IELDvGNoZXI= 140918 +IHdlZMWCdWc= 140919 +44G+44Gg44G+44Gg 140920 +INeg15TXk9eo 140921 +INmK2LPYqti32YrYuQ== 140922 +IEhp4buHcA== 140923 +44Kt44Oj44Oz44Oa 140924 +44Kt44Oj44Oz44Oa44O844Oz 140925 +IHRo4buV 140926 +IGV1cm9ww6llbm5l 140927 +4Lia4Lix4LiH 140928 +4Lia4Lix4LiH4LiE4Lix4Lia 140929 +IHN6Y3plZ8OzxYJvd28= 140930 +16DXqden 140931 +44OV44Op44Oz44K5 140932 +157Xldee15fXmQ== 140933 +IGNvbcO6bg== 140934 +IMOnYXJw 140935 +2K3YqtmK2Kc= 140936 +2K3YqtmK2KfYrA== 140937 +2K3YqtmK2KfYrNin2Ko= 140938 +64u064u5 140939 +5L2V5bqm 140940 +5L2V5bqm44KC 140941 +15PXkden 140942 +44GN44KM 140943 +44GN44KM44GE 140944 +INC60LDQvA== 140945 +INC60LDQvNC10YA= 140946 +IGVzcGVjw61maWNv 140947 +IHRlbMOpZm9ubw== 140948 +4LiV4Lix4LmJ4LiH4Lit4Lii4Li54LmI 140949 +ScWe 140950 +44Gp44KT44Gp 140951 +44Gp44KT44Gp44KT 140952 +16LXptee15DXmQ== 140953 +4LiU4Lix4LiH4LiZ4Li14LmJ 140954 +INGE0L7RgNC80LjRgNC+0LI= 140955 +INGE0L7RgNC80LjRgNC+0LLQsA== 140956 +15XXnteR 140957 +IGt1bGxhbsSxbcSx 140958 +0JzQng== 140959 +16LXqdeZ 140960 +16LXqdeZ15nXlA== 140961 +IMO2bmxlbQ== 140962 +4LmA4Lit4LmH 140963 +4LmA4Lit4LmH4Lih 140964 +157Xqden15nXog== 140965 +16jXmdeX 140966 +4LiC4Lix4LiU 140967 +IO2ZnA== 140968 +IO2ZnOyaqQ== 140969 +4LiL4Liw 140970 +44KI44GG44Gr44Gq44KK44G+44GX44Gf 140971 +INGA0LDRgdC/0YA= 140972 +INGA0LDRgdC/0YDQvtGB0YI= 140973 +INGA0LDRgdC/0YDQvtGB0YLRgNCw0L0= 140974 +INGA0LDRgdC/0YDQvtGB0YLRgNCw0L3QtdC9 140975 +15vXmdeV158= 140976 +2YLYqNi2 140977 +2KrYtdix2YrYrQ== 140978 +2KrYtdix2YrYrdin2Ko= 140979 +INC+0YDQuA== 140980 +INC+0YDQuNCz 140981 +INC+0YDQuNCz0LjQvdCw 140982 +INC+0YDQuNCz0LjQvdCw0Ls= 140983 +INin2YTYudin2YTZig== 140984 +4LmB4Lir4LmI4LiH4LiZ4Li14LmJ 140985 +44OV44Kh44O8 140986 +44Gm44GE44GN 140987 +44Gm44GE44GN44Gf44GE 140988 +16TXqteo 140989 +16TXqteo15XXoNeV16o= 140990 +INeR15nXlw== 140991 +INeR15nXl9eT 140992 +IG9kYnk= 140993 +IG9kYnnFgg== 140994 +INC+0YfQtdGA0LXQtA== 140995 +IHRyxrDGoW5n 140996 +44Kt44Oz 140997 +157Xldek 140998 +157Xldek16I= 140999 +65Oc66a9 141000 +65Oc66a964uI64uk 141001 +4Lie4Li34LmJ4LiZ4LiQ4Liy4LiZ 141002 +7J6Q6rKp 141003 +IFZp4buHbg== 141004 +IERlc3B1w6lz 141005 +INeQ15zXmdeg15U= 141006 +IGR1csOpZQ== 141007 +7Ye0 141008 +IG3DvHppaw== 141009 +aeG6v3U= 141010 +INGA0LDQt9C80LXRidC10L0= 141011 +INC60YPQtA== 141012 +INC60YPQtNCw 141013 +2LrYtg== 141014 +2LrYttio 141015 +IFRhbWLDqW0= 141016 +4LiI4Lix4LiU4Liq4LmI4LiH 141017 +4LiB4Liy4Lij4LmB4Liq4LiU4LiH 141018 +b25vbcOtYQ== 141019 +INCw0L3Qsw== 141020 +INCw0L3Qs9C70Lg= 141021 +INCw0L3Qs9C70LjQuQ== 141022 +INCw0L3Qs9C70LjQudGB0Lo= 141023 +IHpuYWw= 141024 +IHpuYWxheg== 141025 +IHpuYWxhesWC 141026 +16rXqNeS 141027 +16rXqNeS15XXnQ== 141028 +INGB0L3QvtCy 141029 +INGB0L3QvtCy0LA= 141030 +INGH0LDRgdCw 141031 +IGNvbW11bmF1dMOp 141032 +IGVzcGVjw61maWNh 141033 +IEzhu4tjaA== 141034 +IGxpw6k= 141035 +2YHYrNix 141036 +4LmA4LiB4LmI4LiH 141037 +2LnYp9mE 141038 +2LnYp9mE2Kw= 141039 +2KPZhti4 141040 +2KPZhti42YXYqQ== 141041 +RVPEsA== 141042 +INin2YTYrdiv2YrYrw== 141043 +4Lie4Lij4Liw4Lit4LiH4LiE4LmM 141044 +INek16jXqdeq 141045 +INC00LLQuNC2 141046 +INC00LLQuNC20LXQvdC40Y8= 141047 +INin2YTYrNin2LHZig== 141048 +4LiY4Liy4LiZ4Li1 141049 +0L3QtdGB0LXQvQ== 141050 +INin2YTZhtmH2KfYptmK 141051 +INCx0LXRgA== 141052 +INCx0LXRgNC10Lw= 141053 +INCx0LXRgNC10LzQtdC90L0= 141054 +IGTDqXBhcnRlbWVudA== 141055 +4LmA4LiX4Li14Lii 141056 +4LmA4LiX4Li14Lii4Lia 141057 +INCc0LDRgNC4 141058 +INC90LXQutC+0YLQvtGA0YvRhQ== 141059 +0L7QsdC10YHQvw== 141060 +0L7QsdC10YHQv9C10YfQtdC9 141061 +15fXldeW 141062 +15fXldeW15Q= 141063 +2YbYqtis 141064 +4LiI4Liw4LmE4LiU4LmJ4Lij4Lix4Lia 141065 +4buw 141066 +IMOpbMOpbWVudHM= 141067 +2LnYtw== 141068 +2LnYt9in2KE= 141069 +IHThuq90 141070 +aeG7h20= 141071 +0Y7RidC40YXRgdGP 141072 +44GX44Gw 141073 +44GX44Gw44KJ44GP 141074 +INC/0L7QvNC+0LbQtdGC 141075 +4LiC4LiT4Liw4LiZ4Li14LmJ 141076 +INei16nXqNeV16o= 141077 +6YGV44Gj44Gm 141078 +INC/0YDQvtCz 141079 +INC/0YDQvtCz0L0= 141080 +INC/0YDQvtCz0L3QvtC3 141081 +IHTFgg== 141082 +IHTFgnVt 141083 +IHTFgnVtYWN6 141084 +VMO8cg== 141085 +VMO8cmtpeWU= 141086 +44GN44Gj 141087 +44GN44Gj44GL44GR 141088 +INeU16DXldeb 141089 +INeU16DXldeb15fXmQ== 141090 +IOyDneyCsA== 141091 +INGE0L7RgNC80Ys= 141092 +576O44GX44GE 141093 +4Lib4Lij4Li24LiB 141094 +4Lib4Lij4Li24LiB4Lip4Liy 141095 +IGx1bWnDqHJl 141096 +44Kq44O844OX 141097 +44Kq44O844OX44Oz 141098 +4Lib4Li34LiZ 141099 +4Lin4Lix4Liq4LiU 141100 +4Lin4Lix4Liq4LiU4Li4 141101 +0LXRgNGC0LI= 141102 +2YPZhNmB 141103 +772j 141104 +4LiY4Lij4Lij4Lih4LiU4Liy 141105 +16DXmNeo 141106 +INC/0YDQtdC00YHRgtCw0LLQu9GP0LXRgg== 141107 +IGFuw6FsaXNpcw== 141108 +IGLDo2k= 141109 +2KjYp9mC2Yo= 141110 +4Lib4Lij4Liw4LmA4LiU 141111 +4Lib4Lij4Liw4LmA4LiU4LmH4LiZ 141112 +INGB0LvRg9GH0LDRjw== 141113 +INGB0LvRg9GH0LDRj9GF 141114 +0JvQkA== 141115 +4Liq4Lix4LiH4LmA4LiB 141116 +4Liq4Lix4LiH4LmA4LiB4LiV 141117 +IHByemVj 141118 +IHByemVjaWXFvA== 141119 +2YXYtdmE 141120 +2YXYtdmE2K3YqQ== 141121 +16nXlden15XXnNeT 141122 +INC+0LHQvtGA0YPQtNC+0LLQsNC90LjRjw== 141123 +IHRyd2HFgg== 141124 +2LHZiNmF 141125 +7JWI64K0 141126 +IE5naOG7iw== 141127 +2K7YtA== 141128 +4Lia4Liy4LiE4Liy4Lij 141129 +4Lia4Liy4LiE4Liy4Lij4LmI4Liy 141130 +INC+0L/RhtC40L7QvQ== 141131 +INGB0L7Qt9C00LDQvdC40Y8= 141132 +44Kz44K544OI 141133 +INeU16LXnNeZ 141134 +INeU16LXnNeZ15XXnw== 141135 +bMOkdWZ0 141136 +44OZ44K544OI 141137 +IHLDqg== 141138 +IHLDqnZl 141139 +15DXkdeZ15E= 141140 +15nXmdea 141141 +67aZ 141142 +44Kk44Oz44OJ 141143 +xYJvxbx5 141144 +xYJvxbx5xIc= 141145 +2LnYp9im2YQ= 141146 +2LnYp9im2YTYqQ== 141147 +2KPZiNix 141148 +2KPZiNix2KfZgg== 141149 +4LiX4LmJ4Lit4LiH4LiW 141150 +4LiX4LmJ4Lit4LiH4LiW4Li04LmI4LiZ 141151 +IMOkaG4= 141152 +IMOkaG5saWNo 141153 +44Of44OL 141154 +4Lic4Li5 141155 +4Lic4Li54LmJ4LiZ 141156 +4Lic4Li54LmJ4LiZ4Liz 141157 +INC80LDRgtC10YDQuNCw0LvRiw== 141158 +INC60LDQv9C40YI= 141159 +INC60LDQv9C40YLQsNC7 141160 +77ym 141161 +IHNlw6dpbA== 141162 +IGjhu6luZw== 141163 +IGludMOpcmVzc2FudA== 141164 +44Gj44Gm44GE44GP 141165 +IGXEn2Vy 141166 +65CY7JeI7Iq164uI64uk 141167 +IGFubGHFn21h 141168 +44GU5Yip55So 141169 +INeR15bXmw== 141170 +INeR15bXm9eV16o= 141171 +652866m0 141172 +INmK2YjYsw== 141173 +INmK2YjYs9mB 141174 +2KPYs9mE2K3YqQ== 141175 +IEdlZsO8aGw= 141176 +INC90L7RgNC80LDQu9GM0L0= 141177 +44OZ44Oz 141178 +44GV44KM44KL44GT44Go 141179 +INCR0LXRgQ== 141180 +44Go44GE44GI44Gw 141181 +INmF2YfZhQ== 141182 +INmF2YfZhdip 141183 +44Gn44GX44KH44GG44Gt 141184 +IOq1reuCtA== 141185 +4LmA4Lih4LmH4LiU 141186 +157Xkden16g= 141187 +INin2YTYr9mG2Yo= 141188 +INin2YTYr9mG2YrYpw== 141189 +4LiK4Li5 141190 +0LrRgNGD0YI= 141191 +IHRob8Ohbmc= 141192 +INeg15PXqA== 141193 +INeg15PXqNep 141194 +INGA0LDRgdGB0LrQsNC30LDQuw== 141195 +IEF1w59lcmRlbQ== 141196 +16TXkNeo 141197 +16TXkNeo16c= 141198 +INee16nXl9en15nXnQ== 141199 +16bXqNeb15nXnQ== 141200 +157Xk9eV 141201 +157Xk9eV15nXpw== 141202 +6Ium44GX 141203 +INGB0LjQsw== 141204 +INGB0LjQs9C90LDQuw== 141205 +IE3hu41p 141206 +IHRy4buv 141207 +IG5hc3TEmXA= 141208 +IG5hc3TEmXBuaWU= 141209 +IOy2lOynhA== 141210 +INin2YTZgdmG2K8= 141211 +INin2YTZgdmG2K/Zgg== 141212 +a2/FhGN6ecWC 141213 +4Liq4Li14LmI 141214 +16fXmdeR 141215 +16fXmdeR15XXpQ== 141216 +INC90YPQttC90Ys= 141217 +5aSn5YiH 141218 +5aSn5YiH44Gq 141219 +5o+b44GI 141220 +16rXldeh 141221 +16rXldeh16TXqg== 141222 +44Gj44Gm44GE44Gq44GE 141223 +INC80Y8= 141224 +INC80Y/Qsw== 141225 +INC80Y/Qs9C6 141226 +IGpha2ll 141227 +IGpha2llxZs= 141228 +4LiV4Liz4Lia 141229 +4LiV4Liz4Lia4Lil 141230 +IOyeiOyngA== 141231 +15HXmNeQ 141232 +INC+0YLQu9C40YfQvdC+ 141233 +2YLZkA== 141234 +INCw0LLRgtC+0LzQvtCx 141235 +INCw0LLRgtC+0LzQvtCx0Lg= 141236 +INCw0LLRgtC+0LzQvtCx0LjQu9GP 141237 +2K/ZitmF2YLYsdin2LfZig== 141238 +INin2YTZiNin 141239 +INin2YTZiNin2K3Yrw== 141240 +INiz2YjYsdmK2Kk= 141241 +2KPYutmE 141242 +2KPYutmE2Kg= 141243 +INGN0LrRgNCw0L0= 141244 +44OX44Op44Kk 141245 +IGplc3RlxZs= 141246 +44OQ44Oq 141247 +INeU15DXldeV15nXqA== 141248 +2KfYptmD 141249 +4Lit4Lii4LmI4Liy4LiH4Lii4Li04LmI4LiH 141250 +0YDQtdC60YI= 141251 +IHVtbw== 141252 +IHVtb8W8 141253 +IHVtb8W8bGk= 141254 +IHVtb8W8bGl3 141255 +IHVtb8W8bGl3aWE= 141256 +IG7DpGNoc3Rl 141257 +IOyeiOyngOunjA== 141258 +INC/0YDQtdC00L0= 141259 +INC/0YDQtdC00L3QsNC3 141260 +INC/0YDQtdC00L3QsNC30L3QsNGH0LXQvQ== 141261 +IG1hw6fEsQ== 141262 +IHBvbWk= 141263 +IHBvbWnEmWQ= 141264 +IHBvbWnEmWR6eQ== 141265 +INin2YTZhNmC2KfYoQ== 141266 +4LmA4LiU4Lit4Liw 141267 +INC90L7QstC+0YHRgtC4 141268 +157Xl9ec15Q= 141269 +2LHZitin2LbZig== 141270 +4LiU4LiZ 141271 +4LiU4LiZ4LiV4Lij4Li1 141272 +2KjYtdix 141273 +7Iqk7YOA 141274 +c2NyaXBjacOzbg== 141275 +IG5hcGlzYQ== 141276 +IG5hcGlzYcWC 141277 +INeg16nXntei 141278 +INin2YTZhdit2YTZig== 141279 +IGhp4buDbg== 141280 +15DXlw== 141281 +15DXl9eo15DXmQ== 141282 +INCz0YDQsNC90LjRhg== 141283 +5omL57aa44GN 141284 +2YPYs9io 141285 +IOC5geC4leC5iOC4luC5ieC4sg== 141286 +4LiU4Liy4Lin4LiZ4LmM 141287 +4LiU4Liy4Lin4LiZ4LmM4LmC4Lir4Lil4LiU 141288 +44KL44GT44Go44GM44Gn44GN44G+44GZ 141289 +5Z+65pys55qE44Gr 141290 +2YjZhNin2K8= 141291 +csOkdW1l 141292 +2K/Zgdin2Lk= 141293 +15nXptei 141294 +IE9jenk= 141295 +IE9jenl3acWbY2ll 141296 +IMWB 141297 +IMWBYQ== 141298 +2KfZhNmK2KfYqA== 141299 +2KfZhNmK2KfYqNin2YY= 141300 +4bqgSQ== 141301 +IEJpcmxpxJ9p 141302 +15TXldem 141303 +15TXldem15DXqg== 141304 +IMSRdWE= 141305 +IOq3uOufrOuLiOq5jA== 141306 +IHLDqWFsaXTDqQ== 141307 +2LnZhNin2YLYp9iq 141308 +SmVzdGU= 141309 +SmVzdGXFmw== 141310 +INC80L3QvtC2 141311 +INC80L3QvtC20LXRgdGC0LLQvg== 141312 +77yr 141313 +44OX44Ot44K444Kn 141314 +44OX44Ot44K444Kn44Kv44OI 141315 +INGE0Ls= 141316 +2LjZhg== 141317 +15LXnNeS15w= 141318 +IG3Fgm9kemll 141319 +IG3Fgm9kemllxbw= 141320 +4LiZ4LmJ4Liz4LiV4Liy 141321 +4LiZ4LmJ4Liz4LiV4Liy4Lil 141322 +0JvQlQ== 141323 +15HXldeY 141324 +INec15TXkteZ15M= 141325 +44GT44Go44KC44GC44KL 141326 +2LLYp9iv 141327 +157XmdeT16I= 141328 +IGfFgsOzd25pZQ== 141329 +44OP44Km 141330 +44OP44Km44K5 141331 +0LHQtdC7 141332 +IMOpdGFwZQ== 141333 +8J+YgA== 141334 +INC80L7QtNC10LvRjA== 141335 +YcSfxLFuxLE= 141336 +16nXl9en 141337 +16nXl9en158= 141338 +IG5pw7Fv 141339 +4LiK4LmJ4Liy4LiH 141340 +4LmA4Lil4Li14Lii 141341 +INGE0L7RgNC80LU= 141342 +INin2YTYtNix2YrZgQ== 141343 +INGD0LTQsNGA 141344 +YXJyaXY= 141345 +YXJyaXbDqWU= 141346 +IG1pZXNpxJk= 141347 +IG1pZXNpxJljeQ== 141348 +2K3YsdmD 141349 +2K3YsdmD2KfYqg== 141350 +IERp4buFbg== 141351 +0J3Qqw== 141352 +44G+44Gj44Gf44GP 141353 +INeZ16jXlden 141354 +0LXRgdGC0LXRgdGC0LI= 141355 +0LXRgdGC0LXRgdGC0LLQtdC90L0= 141356 +IOq3uOufvA== 141357 +INin2YTZhdiq2Yg= 141358 +INin2YTZhdiq2YjYs9i3 141359 +IGLDqW7DqWZpYw== 141360 +IGLDqW7DqWZpY2ll 141361 +IHd5YnJh 141362 +IHd5YnJhxIc= 141363 +INin2YTYstmF2YY= 141364 +INC/0YDQuNC90Y8= 141365 +INC/0YDQuNC90Y/Quw== 141366 +2YHYsdit 141367 +IGtzeg== 141368 +IGtzenRhxYI= 141369 +IGtzenRhxYJ0 141370 +16fXnNeY 141371 +15HXk9eZ16fXqg== 141372 +IGdp4bql 141373 +IGdp4bqlYw== 141374 +IHByb3ByaWV0w6A= 141375 +0LTQtdGA0LbQsNC9 141376 +IEvDtmxu 141377 +IEfDvHplbA== 141378 +15nXpNeV15k= 141379 +IEN14buZYw== 141380 +0Y3RgtCw0LY= 141381 +2KrYsdmD2Yo= 141382 +2KrYsdmD2YrYsg== 141383 +0LvQvtC20LXQvdC40Lk= 141384 +INC/0YM= 141385 +INC/0YPRgtC4 141386 +2KfYrtiq2YTYp9mB 141387 +5Ye644Gm44GP44KL 141388 +4Lia4Li44LiB 141389 +4p2k 141390 +0YTQsNC9 141391 +16TXqdeY 141392 +4Lia4Lix4LiZ4LmA4LiX 141393 +4Lia4Lix4LiZ4LmA4LiX4Li04LiH 141394 +INin2YTYs9in2K8= 141395 +INin2YTYs9in2K/Ysw== 141396 +INin2YTZgtmI2YU= 141397 +INin2YTZgtmI2YXZig== 141398 +IHnDtm5ldGljaQ== 141399 +2YfZiNin2Ko= 141400 +2YfZiNin2KrZgQ== 141401 +IHJlc3BvbnPDoXZlbA== 141402 +INC/0L7QtNC00LXRgNC20LjQstCw 141403 +INin2YTYs9mE2Lc= 141404 +INin2YTYs9mE2LfYp9iq 141405 +44GX44Gm44GK44GP 141406 +44Oa44OD44OI 141407 +4Lib4Li44LmI4Lih 141408 +IG9nbMSFZGE= 141409 +2YbYp9mC 141410 +2YbYp9mC2LQ= 141411 +4LiE4Lit4LiZ4LmC4LiU 141412 +IE3DvHNs 141413 +IE3DvHNsw7w= 141414 +IE3DvHNsw7xtYW4= 141415 +IE1vxbw= 141416 +IE1vxbxuYQ== 141417 +IG51bcOpcmlxdWU= 141418 +IHbhu48= 141419 +INiz2YrYqtmF 141420 +IHllcmxlxZ8= 141421 +0LzQvtC90YLQsNC2 141422 +IGdvw7t0 141423 +44Gm44GK44KK44G+44GZ 141424 +IEtow6FuaA== 141425 +INC10LTQuNC9 141426 +INC10LTQuNC90YHRgtCy 141427 +2KfZhtiu2YE= 141428 +2KfZhtiu2YHYp9i2 141429 +7Iuc7ZeY 141430 +IGzhurduZw== 141431 +INGA0L7Qu9GM 141432 +4LiV4Lix4Lin4LmB4LiX4LiZ 141433 +4LiE4LmI4Liy4LmD4LiK4LmJ 141434 +4LiE4LmI4Liy4LmD4LiK4LmJ4LiI4LmI4Liy4Lii 141435 +IHZlcmbDvGc= 141436 +IHZlcmbDvGdiYXI= 141437 +7JmU64uk 141438 +44GE44Ga 141439 +44GE44Ga44KM 141440 +INC40YHRgdC70LXQtNC+0LLQsNC90LjRjw== 141441 +0LzQtdGJ0LA= 141442 +15TXlw== 141443 +15TXl9eW16g= 141444 +4LmB4Lif4LiK4Lix4LmI4LiZ 141445 +2KrYtdix2YE= 141446 +2KXYsdmH2KfYqA== 141447 +IGV4ZXJjw61jaW8= 141448 +IMOpbGV2 141449 +IMOpbGV2w6k= 141450 +4Liq4Lix4LiN4LiN4Liy4LiT 141451 +w5Za 141452 +44OX44Ot44Kw 141453 +44OX44Ot44Kw44Op 141454 +44OX44Ot44Kw44Op44Og 141455 +IHdld27EmXRyem4= 141456 +IGhlbsO8eg== 141457 +6aOb44Gz 141458 +4LmA4LiU4Lit4Lij4LmM 141459 +0YHRg9C2 141460 +0YHRg9C20LTQtdC9 141461 +2LTYudmI2Kg= 141462 +44Gy44Go44KK 141463 +IHd5xYLEhQ== 141464 +IHd5xYLEhWN6bmll 141465 +INC/0LvQvtGF0L4= 141466 +0JTQlQ== 141467 +4bqm 141468 +2YHYudin2YTZig== 141469 +2YHYudin2YTZitin2Ko= 141470 +INin2YTYudi02LE= 141471 +0YHRgtGD0L/QuNC7 141472 +IHlhcmc= 141473 +IHlhcmfEsQ== 141474 +0L3RjtGO 141475 +15XXkNeR 141476 +IHXDpw== 141477 +IHXDp2Fr 141478 +67K9 141479 +2KrZiNmC2Yo= 141480 +2KrZiNmC2YrYuQ== 141481 +IOykkeyLrA== 141482 +16DXmdeV15XXmA== 141483 +2KPZg9mE 141484 +572u44GE44Gm 141485 +6aCC44GN 141486 +INeU16rXkQ== 141487 +INeU16rXkdeZ16LXlA== 141488 +IGTDvHJmZW4= 141489 +2YXZgtin2YQ= 141490 +2YXZgtin2YTYp9iq 141491 +INiy2YXZhg== 141492 +4Lie4Lik4Lio 141493 +4Lie4Lik4Lio4LiI 141494 +4Lie4Lik4Lio4LiI4Li04LiB 141495 +4Lie4Lik4Lio4LiI4Li04LiB4Liy4Lii4LiZ 141496 +INC90LXRgdC60L7Qu9GM 141497 +INC90LXRgdC60L7Qu9GM0LrQuA== 141498 +INC90LXRgdC60L7Qu9GM0LrQuNGF 141499 +IGNyaWFuw6dh 141500 +4Lih4Li04LiV4Lij 141501 +157Xm9eZ16jXldeq 141502 +4LiB4Liy4Lij4Lia4Lij4Li04Lir4Liy4Lij 141503 +IHTDqWzDqWNoYXJn 141504 +INeQ15XXlNeR16o= 141505 +IELDvHJv 141506 +5L2c44Gj44Gf 141507 +IEtpxZ9p 141508 +576O5ZGz44GX 141509 +4LmA4Lil4Lii4LiE4LmI4Liw 141510 +4Lie4Lia4LiB4Lix4Lia 141511 +4LiI4LmJ4Liy 141512 +IMOnZXI= 141513 +IMOnZXLDpw== 141514 +IMOnZXLDp2V2ZQ== 141515 +44KS5L2c44Gj44Gm 141516 +INC/0LXRgNCy0YPRjg== 141517 +157Xpteo15nXnQ== 141518 +15DXnNeV15Q= 141519 +15DXnNeV15TXmded 141520 +IGFncsOp 141521 +IGFncsOpYWJsZQ== 141522 +IGF5xLFy 141523 +xLBMxLA= 141524 +44Kl 141525 +IO2YhA== 141526 +IO2YhOyLpA== 141527 +2KvYp9mE2Ks= 141528 +16rXlg== 141529 +16rXlteV16DXlA== 141530 +44Go44GE44Gj44Gm 141531 +44Go44GE44Gj44Gm44KC 141532 +INin2KjZiA== 141533 +INGB0L7QsdCw0Lo= 141534 +6aOf44G544Gf 141535 +INC00LDQvdC90L7QvA== 141536 +4LmA4Lil4Li0 141537 +4LmA4Lil4Li04Lio 141538 +IO2a 141539 +IO2aqA== 141540 +IO2aqOqzvA== 141541 +44KC44KJ44GI44KL 141542 +16DXptec 141543 +0YTQuNC6 141544 +0YTQuNC60YE= 141545 +IGplc3RlxZtteQ== 141546 +16rXl9eV16nXlA== 141547 +4LmE4Lih4LmI4LiE4Lin4Lij 141548 +INit2LPZitmG 141549 +4LiB4Liy4Lij4Lil4LiH4LiX4Li44LiZ 141550 +67Sk 141551 +INCY0LzQtdC90L3Qvg== 141552 +4Lia4Lit4Lij4LmM 141553 +4Lia4Lit4Lij4LmM4LiU 141554 +IEPhuqNuaA== 141555 +7ISc67mE7Iqk 141556 +INC/0L7Qu9C+0LI= 141557 +INC/0L7Qu9C+0LLQuNC9 141558 +INC30LDQvNC10YfQsA== 141559 +44GE44KN44KT44Gq 141560 +INeR15nXpw== 141561 +INeR15nXp9ep 141562 +0LvRg9GI 141563 +44KS6L+O 141564 +44KS6L+O44GI 141565 +2KzYsdmK2YXYqQ== 141566 +IHTDonk= 141567 +INin2YTZhtmI 141568 +INin2YTZhtmI2YjZig== 141569 +w4JO 141570 +7L+g 141571 +4Lir4LiZ4Liy4Lin 141572 +INeR15fXqdeR15XXnw== 141573 +2LLYp9ix 141574 +4LiU4Liy4Lij 141575 +4LiU4Liy4Lij4Liy 141576 +IMWbbA== 141577 +IMWbbHVi 141578 +4Lih4Li14LiE4Lin4Liy4Lih4Liq4Li44LiC 141579 +IG5odQ== 141580 +IG5odeG6rW4= 141581 +2YXYrdi32Kk= 141582 +4LmA4Liq4Li34LmJ4Lit4Lic4LmJ4Liy 141583 +INCi0L7Qu9GM0LrQvg== 141584 +INmD2LM= 141585 +INmD2LPYp9ix2Kk= 141586 +2YXYtNix2YjYuQ== 141587 +bmnEmWNpYQ== 141588 +16LXm9ep15nXlQ== 141589 +2KrZhNmB 141590 +2KrZhNmB2LLZig== 141591 +2KrZhNmB2LLZitmI2YY= 141592 +IGzGsOG7m2k= 141593 +INCc0L7RgdC60LLRiw== 141594 +IHLDqXNlcnZl 141595 +IGFubGHFnw== 141596 +IGFubGHFn8SxbA== 141597 +IGVkZWNlxJ9p 141598 +4Lij4Lit4LiH4LmA4LiX4LmJ4Liy 141599 +INio2Lc= 141600 +INio2LfYsdmK 141601 +INio2LfYsdmK2YLYqQ== 141602 +44Gm44GX44G+44Gj44Gm 141603 +44KC44KJ44Gj44Gm 141604 +2KjYsdis 141605 +5rGa 141606 +5rGa44KM 141607 +IGNob2M= 141608 +IGNob2NpYQ== 141609 +IGNob2NpYcW8 141610 +IHpvYmFj 141611 +IHpvYmFjennEhw== 141612 +0L/RgNGP 141613 +0L/RgNGP0LbQtdC9 141614 +INGG0LjRhA== 141615 +INGG0LjRhNGA 141616 +INC80LDQvA== 141617 +INCy0LfRj9GC0Yw= 141618 +IGNo4bqhbQ== 141619 +2KzYs9mF 141620 +2K3Zhdin2LM= 141621 +4LmA4Lil4LmI4Lih 141622 +4Lie4Li04Lip 141623 +15TXpNeb15U= 141624 +4LiK4LmI4Lit4LiH4LiX4Liy4LiH 141625 +INCy0LXQug== 141626 +INCy0LXQutCw 141627 +xqHMgQ== 141628 +xqHMgWk= 141629 +IFRp4buBbg== 141630 +IHRy4bqnbQ== 141631 +0LzRi9GI 141632 +0LzRi9GI0Ls= 141633 +INGC0YM= 141634 +INGC0YPRgNC40YHRgg== 141635 +IGNoYw== 141636 +IGNoY8SF 141637 +INCw0LLQsw== 141638 +INCw0LLQs9GD0YHRgg== 141639 +INCw0LLQs9GD0YHRgtCw 141640 +16HXkNeV16o= 141641 +INeo15LXnA== 141642 +4Lic4Lil4LiB4Lij4Liw4LiX 141643 +4Lic4Lil4LiB4Lij4Liw4LiX4Lia 141644 +5aSJ44KP44KL 141645 +INeU15DXl9eo15XXoNeZ150= 141646 +2LPZgdmK2LE= 141647 +INGH0LDRidC1 141648 +44GE44KJ 141649 +44GE44KJ44Gj 141650 +44GE44KJ44Gj44GX44KD 141651 +15XXnteg15nXnQ== 141652 +IGFydHTEsXI= 141653 +IENo4buL 141654 +IOyhsOyngQ== 141655 +INGD0YHQv9C10YU= 141656 +INei15XXoQ== 141657 +INei15XXoden 141658 +IOyDneuqhQ== 141659 +0YbQuNGC 141660 +IHJlZ2nDs24= 141661 +0J7QnQ== 141662 +IGRvxJ91bQ== 141663 +IHlhxZ9hZA== 141664 +IHlhxZ9hZMSxxJ/EsQ== 141665 +4LiX4LiU4Lil4Lit4LiH 141666 +IGfDtnrDvA== 141667 +16nXmdeo15Q= 141668 +0LTRg9C80LDQuw== 141669 +IGRhxJ/EsQ== 141670 +IGRhxJ/EsXQ= 141671 +4LiX4Li14Lih4LiH4Liy4LiZ 141672 +IHRp4buBbQ== 141673 +INin2YTZg9io2LE= 141674 +INin2YTZg9io2LHZiQ== 141675 +7Lmt 141676 +IEfDvG5j 141677 +IEfDvG5jZWxsZQ== 141678 +IEfDvG5jZWxsZW1l 141679 +6rmK 141680 +INC+0LHQvtGA0YPQtNC+0LLQsNC90LjQtQ== 141681 +INGA0LXRiNCw 141682 +4buk 141683 +INC/0LjRgg== 141684 +INC/0LjRgtCw0L3QuNGP 141685 +4LmA4Lij4Li14Lii4Lia 141686 +15vXqteZ15HXlA== 141687 +INC/0L7QvQ== 141688 +INC/0L7QvdGA0LDQsg== 141689 +INC/0L7QvdGA0LDQstC4 141690 +INeU15XXnNeT 141691 +INeU15XXnNeT16o= 141692 +IOqygQ== 141693 +IOqygeuLiOuLpA== 141694 +INC/0LXRgNCy0L7QuQ== 141695 +44Op44Kk44OV 141696 +IMWfaWly 141697 +a3LEmQ== 141698 +a3LEmWM= 141699 +IHRoaeG7g3U= 141700 +4LmA4Lil4Lii4LiX4Li1 141701 +4LmA4Lil4Lii4LiX4Li14LmA4LiU4Li14Lii4Lin 141702 +15jXoteg15XXqg== 141703 +2KfYptmH2YU= 141704 +INeQ16HXldeo 141705 +INC/0LvQsNGC0LXQtg== 141706 +2KrYsdiv2K8= 141707 +IG1vxbxsaXdl 141708 +IGto4bub 141709 +IGto4bubcA== 141710 +2KrZgdin2LnZhA== 141711 +INGI0LrQvtC70Yw= 141712 +INGI0LrQvtC70YzQvQ== 141713 +INmC2LXYqQ== 141714 +IG3DqXRpZXI= 141715 +bsSZxYJh 141716 +4Lir4Lil4LmI4Lit 141717 +IOG7p25n 141718 +IHByemVnbA== 141719 +IHByemVnbMSFZA== 141720 +INin2YTZhdiq2LnZhA== 141721 +INin2YTZhdiq2LnZhNmC2Kk= 141722 +INGB0YvQvQ== 141723 +INCy0L7Qu9C9 141724 +44OH44O844OI 141725 +INCt0YLQuA== 141726 +INC60YDQvtC80LU= 141727 +4LiE4Liy4Lij4LmM 141728 +16DXp9eV15PXlA== 141729 +INec16nXnteV16I= 141730 +INeW15XXm9eo 141731 +77yn 141732 +2YrZjtin 141733 +IGdp4buPaQ== 141734 +5YON44GP 141735 +INGB0L3QuA== 141736 +INGB0L3QuNC20LXQvQ== 141737 +4LmB4LiU4LiU 141738 +4Lij4Li44LiZ 141739 +4Lij4Li44LiZ4LmB4Lij4LiH 141740 +IGhp4buHcA== 141741 +b2dyYWbDrWE= 141742 +4LmA4LiI4Lit4Lij4LmM 141743 +INC00LLQuNCz 141744 +INC00LLQuNCz0LDRgg== 141745 +INC00LLQuNCz0LDRgtC10Ls= 141746 +IMO8eQ== 141747 +IMO8eWVsZXI= 141748 +IMO8eWVsZXJp 141749 +INCx0YPQug== 141750 +INCx0YPQutCy 141751 +44KC5aSa44GP 141752 +IHRoaeG7h3Q= 141753 +IFBhw61z 141754 +INi32KjZiti52Yo= 141755 +4LmB4LiI4LiB 141756 +INin2YTYtdit2YrYrQ== 141757 +IGFwcHLDqQ== 141758 +IGFwcHLDqWNp 141759 +IGRlY2lzacOzbg== 141760 +IOuwmOuTnA== 141761 +IOuwmOuTnOyLnA== 141762 +INGC0LXQsdC1 141763 +44K344O844K6 141764 +44K344O844K644Oz 141765 +INC00LDQu9GM0L0= 141766 +IOyKpA== 141767 +IOyKpOyKpA== 141768 +IOyKpOyKpOuhnA== 141769 +IFRo4buD 141770 +IGthcsWf 141771 +IGthcsWfxLFz 141772 +IGthcsWfxLFzxLFuZGE= 141773 +IEvDtm4= 141774 +IEvDtm5pZw== 141775 +0LjQstCw0L3QuNC1 141776 +15HXldem16I= 141777 +0LPQu9Cw0YE= 141778 +IHR3w7M= 141779 +IHR3w7NyYw== 141780 +4Lib4LiB4LiE4Lij 141781 +4Lib4LiB4LiE4Lij4Lit4LiH 141782 +IEfFgg== 141783 +IEfFgsOzd24= 141784 +IFVudGVyc3TDvHQ= 141785 +IFVudGVyc3TDvHR6dW5n 141786 +INC00YPRhQ== 141787 +INC00YPRhdC+0LI= 141788 +2KPZhdin2YY= 141789 +15fXqdep 141790 +2KrYuA== 141791 +2KrYuNin2YfYsQ== 141792 +INC70Y7QsdC+0Lw= 141793 +4LiV4Liy4Lij 141794 +4LiV4Liy4Lij4Liy4LiH 141795 +IGtyw7Ns 141796 +2KPYrdiv2Ks= 141797 +7KGM64uk 141798 +0JrRg9GA0YE= 141799 +44OD44OE 141800 +157Xp9eV15HXnA== 141801 +INGB0LjQvNCy0L7Quw== 141802 +IGTDqXNvcm0= 141803 +IGTDqXNvcm1haXM= 141804 +d8O8bnM= 141805 +d8O8bnNjaGU= 141806 +0YPQvdC4 141807 +0YPQvdC40YbQuNC/ 141808 +0YPQvdC40YbQuNC/0LDQu9GM0L0= 141809 +4Lir4Lil4Lix4LiB4Liq4Li54LiV4Lij 141810 +2YbYqti02LE= 141811 +INCw0Ls= 141812 +INCw0LvQug== 141813 +INCw0LvQutC+0LM= 141814 +INCw0LvQutC+0LPQvtC7 141815 +INGD0YfQuNGC0YvQstCw 141816 +4LiB4Liz4LiB4Lix4Lia 141817 +INec16TXoteV15w= 141818 +IOyXsOqysA== 141819 +c8SFZA== 141820 +INin2YTYo9mK 141821 +INin2YTYo9mK2KfZhQ== 141822 +2LrZitin2Kg= 141823 +INC90LDRgA== 141824 +INC90LDRgNC60L4= 141825 +157XldeT16I= 141826 +INGB0LXRgNC40Lg= 141827 +0L/QuNGB0YvQstCw 141828 +4Liq4Li04Lin 141829 +57aa44GE44Gm 141830 +55Sz44GX6L6844G/ 141831 +INec15LXqA== 141832 +INec15LXqNeV150= 141833 +INC00LXQvA== 141834 +INC00LXQvNC+ 141835 +IOuztOuCtA== 141836 +2KrZh9iv2YrYrw== 141837 +INmF2LTZitix2Kc= 141838 +IGR1eQ== 141839 +IGR1eeG7h3Q= 141840 +IHdpxJlrc3pl 141841 +2YXYudin2Yo= 141842 +2YXYudin2YrZitix 141843 +IEdkYQ== 141844 +IEdkYcWEc2s= 141845 +IHJhaA== 141846 +IHJhaGF0cw== 141847 +IHJhaGF0c8Sxeg== 141848 +16jXldem15Q= 141849 +bMO2cw== 141850 +bMO2c3VuZw== 141851 +INCi0LDQutC40Lw= 141852 +0YjQtdC0 141853 +0YjQtdC00Yg= 141854 +2LnYstmE 141855 +INeo16nXmdee16o= 141856 +INec15TXmdeb 141857 +INec15TXmdeb16DXoQ== 141858 +INC/0YPRgg== 141859 +INC/0YPRgtC10Yg= 141860 +INC/0YPRgtC10YjQtdGB0YLQsg== 141861 +IG5vdMOtY2lh 141862 +IGFsxLHFnw== 141863 +IGFsxLHFn3Zlcg== 141864 +IGFsxLHFn3ZlcmnFnw== 141865 +IHfFgm9z 141866 +IHfFgm9zw7N3 141867 +INio2Lo= 141868 +INio2LrYr9in2K8= 141869 +IHZlcsO2ZmZlbnQ= 141870 +IHZlcsO2ZmZlbnRsaWNodA== 141871 +IEtow6E= 141872 +IHTDoW4= 141873 +65CY6riw 141874 +IOuwqeusuA== 141875 +2YHZitmE 141876 +4LmA4LiB4Li04LiU4LiI4Liy4LiB 141877 +5Y+v5oSb 141878 +5Y+v5oSb44GE 141879 +4LiW4Li44LiH 141880 +IHpld27EmXRyem4= 141881 +4Lig4Liy4Lip4Liy4Lit4Lix4LiH4LiB4Lik4Lip 141882 +IG3DoXhpbWE= 141883 +IHVsdXM= 141884 +IHVsdXNsYXJhcmFzxLE= 141885 +INeg15TXoA== 141886 +4LiC4LmI4Liy4Lin4Liq4Liy4Lij 141887 +IOydmOyCrA== 141888 +4LmA4Lir4Lil4Li34Lit4LiH 141889 +INiv2YI= 141890 +INiv2YLYp9im2YI= 141891 +4Liq4Li34LmI4Lit4Liq4Liy4Lij 141892 +66i8 141893 +INGB0L7RgdGC0L7Rj9C90LjQuA== 141894 +4Liq4Lih4Liy4LiE4Lih 141895 +4buC 141896 +INCc0L7RgdC60L7Qsg== 141897 +INCc0L7RgdC60L7QstGB0Lo= 141898 +157XodeV15LXnA== 141899 +44GL44GL44KK 141900 +IFRydXnhu4Fu 141901 +4LmB4LiC4LmH4LiH4LmB4Lij4LiH 141902 +157Xl9eW15nXpw== 141903 +4LmC4LiB4LmJ 141904 +2YrYs9ix 141905 +7JSp 141906 +15DXlden 141907 +15DXlden15g= 141908 +15DXlden15jXldeR16g= 141909 +IHByb3hpbWl0w6k= 141910 +2YXZhtmH2Kw= 141911 +INin2YTYrNiy 141912 +INin2YTYrNiy2KfYpg== 141913 +INin2YTYrNiy2KfYptix2Yo= 141914 +IMSQaeG7g20= 141915 +INC00LXQvdC10LY= 141916 +INC00LXQvdC10LbQvQ== 141917 +2YHYrdi1 141918 +2YHYpg== 141919 +INCR0YPQtA== 141920 +15LXmdeT15XXnA== 141921 +INCS0LXQtNGM 141922 +2LnZhNin2YXYqQ== 141923 +INeQ15fXqNeV16DXldeq 141924 +44GE44Gf44Gg44GE44Gm 141925 +2LPZhNit 141926 +2K3ZhNmF 141927 +2LLZiNin2LE= 141928 +2YPYs9ix 141929 +15jXp9eh 141930 +INCx0LDQvQ== 141931 +INCx0LDQvdC60L7Qsg== 141932 +INC/0YDQvtC2 141933 +INC/0YDQvtC20LjQstCw 141934 +bGl3bw== 141935 +bGl3b8WbY2k= 141936 +IFRp4bq/cA== 141937 +INin2YTZhdmG2KfYs9io 141938 +INin2YTYrtmK2KfYsQ== 141939 +44GK44GL 141940 +44GK44GL44GS 141941 +4LiU4Lit4LiB4LmE4Lih4LmJ 141942 +w6RtcA== 141943 +w6RtcGZl 141944 +4LiV4Lix4LmJ4LiH4LmD4LiI 141945 +INC30LDRidC40YI= 141946 +INC30LDRidC40YLRiw== 141947 +IFRoxrDhu51uZw== 141948 +INi12YE= 141949 +INi12YHYrdip 141950 +15fXldeo16M= 141951 +44OQ44OD44Kw 141952 +INeT15nXkg== 141953 +INeT15nXkteZ15g= 141954 +INeT15nXkteZ15jXnNeZ 141955 +INeU15fXldec15nXnQ== 141956 +0LLQtdGJ 141957 +0LLQtdGJ0LA= 141958 +INC60YPQu9GM0YI= 141959 +INC60YPQu9GM0YLRgw== 141960 +INC60YPQu9GM0YLRg9GA0Ys= 141961 +INin2YTYp9mG2KrYsdmG2Ko= 141962 +IGjDtmNo 141963 +IGjDtmNoc3Q= 141964 +IO2YlQ== 141965 +IO2Yle2DnA== 141966 +INCy0L7QuQ== 141967 +INCy0L7QudC90Ys= 141968 +0JvQng== 141969 +7Iug7Jqp 141970 +INee15HXldeh 141971 +INee15HXldeh16E= 141972 +157XoNeZ16I= 141973 +IGZpeWF0xLE= 141974 +INGB0LvRg9C2 141975 +INGB0LvRg9C20LHRiw== 141976 +4LiX4Lix4Lio 141977 +4LiX4Lix4Lio4LiZ 141978 +44GT44Go44GM5aSa44GE 141979 +INeU157Xqdeq 141980 +INeU157Xqdeq157XqQ== 141981 +5a+E44Gb 141982 +157Xqdec15XXlw== 141983 +5pmC54K5 141984 +5pmC54K544Gn 141985 +4Lie4Lij4Li1 141986 +4Lie4Lij4Li14LmA4Lih4Li14Lii 141987 +4Lie4Lij4Li14LmA4Lih4Li14Lii4Lij4LmM 141988 +4Lie4Lij4Li14LmA4Lih4Li14Lii4Lij4LmM4Lil4Li14LiB 141989 +IGRpZmZpY29sdA== 141990 +IGRpZmZpY29sdMOg 141991 +44Os44K544OI 141992 +44Os44K544OI44Op44Oz 141993 +4Liq4Lih4LmA4LiU4LmH 141994 +4Liq4Lih4LmA4LiU4LmH4LiI 141995 +INC20LjQtA== 141996 +INC20LjQtNC6 141997 +IHp1cGXFgg== 141998 +IHp1cGXFgm5pZQ== 141999 +INmF2KzYsQ== 142000 +INmF2KzYsdiv 142001 +44GM5aeL 142002 +44GM5aeL44G+ 142003 +44Kt44Oj44Op 142004 +INeQ15XXldeZ16g= 142005 +44GK5LqS 142006 +44GK5LqS44GE 142007 +IHBvdHLDoA== 142008 +IFBhxYRzdA== 142009 +IFBhxYRzdHdv 142010 +INio2YrYp9mG 142011 +INio2YrYp9mG2KfYqg== 142012 +INC40L3QvtCz0LTQsA== 142013 +INGA0LA= 142014 +INGA0LDRgdGC0LI= 142015 +INGA0LDRgdGC0LLQvtGA 142016 +INeW157XoA== 142017 +4Lii4Li04LmJ4Lih 142018 +xIY= 142019 +44G+44GV 142020 +44G+44GV44Gr 142021 +44OV44Kh44Kk44Or 142022 +IGfDtnJkw7zEn8O8 142023 +4Liq4LiH4LiE4Lij 142024 +4Liq4LiH4LiE4Lij4Liy4Lih 142025 +IEFya2FkYcWf 142026 +IHJvendpxIV6YW5pYQ== 142027 +157XldeY 142028 +cGnEmQ== 142029 +cGnEmXQ= 142030 +2LXYutix 142031 +4Liq4Lii 142032 +4Liq4Lii4Liy4Lih 142033 +44KG44Gj44GP44KK 142034 +IHRy4bqnbg== 142035 +IGVjb25vbcOtYQ== 142036 +IGdlaMO2cmVu 142037 +44K344On44O8 142038 +IHPFgnVjaGE= 142039 +4Lie4Lit4LmD4LiI 142040 +INC+0YLQvNC10YLQuNC7 142041 +2YbYqtmC2YQ= 142042 +IHByb3DDs3NpdG8= 142043 +INCy0LDRiNC10LPQvg== 142044 +IG5o4bqvbg== 142045 +4LmB4LiW4Lin 142046 +INC60L7QvNC40YE= 142047 +INC60L7QvNC40YHRgdC4 142048 +d2HFvG5pZQ== 142049 +IHlhdmHFnw== 142050 +157Xmden 142051 +157Xmden15XXnQ== 142052 +16nXkNec16o= 142053 +IHnEsWxsYXJkYQ== 142054 +INCu 142055 +INCu0YA= 142056 +16DXodeZ15HXldeq 142057 +16rXpg== 142058 +16rXpteV15I= 142059 +INC+0LTQvdGD 142060 +IOC4reC4ouC5iOC4suC4h+C5hOC4ow== 142061 +IOC4reC4ouC5iOC4suC4h+C5hOC4o+C4geC5h+C4leC4suC4oQ== 142062 +64G8 142063 +4LmE4Lil4LmI 142064 +2KrYs9mE2YrZhQ== 142065 +2KjZhNin2Lo= 142066 +IOyJ 142067 +IOyJvQ== 142068 +IOyJveqyjA== 142069 +44Oa44Oz 142070 +0LfQstGD0Yc= 142071 +IFfDpGg= 142072 +IFfDpGhyZW5k 142073 +INeZ15nXqg== 142074 +INeZ15nXqteb158= 142075 +IGtodXnDqm4= 142076 +IHbhur0= 142077 +INCw0LzQtdGA 142078 +INCw0LzQtdGA0LjQug== 142079 +INCw0LzQtdGA0LjQutCw0L0= 142080 +INCw0LzQtdGA0LjQutCw0L3RgdC6 142081 +2LnYrNio 142082 +44Ob44O844Og44Oa44O844K4 142083 +INC90LjQutGC0L4= 142084 +INmC2Y4= 142085 +INmC2Y7Yp9mE 142086 +INmC2Y7Yp9mE2Y4= 142087 +0JDQlw== 142088 +2YXYrNmF2YjYuQ== 142089 +2YXYrNmF2YjYudin2Ko= 142090 +IG5lY2Vzc2l0w6A= 142091 +IHBvYmxp 142092 +IHBvYmxpxbx1 142093 +IHBo4bqlbg== 142094 +INCh0L7QvtCx0Yk= 142095 +2YXZgtin2Lc= 142096 +2YXZgtin2LfYuQ== 142097 +INeU16bXldeo15o= 142098 +bGHFn3TEsXJtYQ== 142099 +4Lin4Li04LiU 142100 +4Lin4Li04LiU4Li1 142101 +4Lin4Li04LiU4Li14LmC4Lit 142102 +IOq3uOumrOyKpA== 142103 +IOq3uOumrOyKpOuPhA== 142104 +44K/44Kk44Of 142105 +44K/44Kk44Of44Oz44Kw 142106 +16fXmNeS15XXqA== 142107 +16fXmNeS15XXqNeZ15Q= 142108 +INeX15XXpA== 142109 +INeX15XXpNep15k= 142110 +2KPYrNix 142111 +INC40LzQtdC90Lg= 142112 +INGA0LDQvdC10LU= 142113 +4LmA4Lie4Li34LmI4Lit4LiZ4LmG 142114 +IEplc8O6cw== 142115 +0YHQvtC10LTQuNC9 142116 +0YHQvtC10LTQuNC90LXQvQ== 142117 +INeo15fXlden 142118 +4LmC4Lia4Lij4Liy 142119 +4LmC4Lia4Lij4Liy4LiT 142120 +IEjGoW4= 142121 +IHRo4bqtcA== 142122 +2KrYudmK2YrZhg== 142123 +IHRhcnTEscWf 142124 +IHRhcnTEscWfbWE= 142125 +IEdlc3By 142126 +IEdlc3Byw6RjaA== 142127 +16rXqNeV16Q= 142128 +16rXqNeV16TXldeq 142129 +IGNhdMOpZ29yaWU= 142130 +INC+0LrQsNC30YvQstCw 142131 +INC90LDQu9C40YfQuNC1 142132 +IHByw6lzZW50w6k= 142133 +IGt1bGw= 142134 +IGt1bGxhbmQ= 142135 +IGt1bGxhbmTEsQ== 142136 +IMO8bmw= 142137 +IMO8bmzDvA== 142138 +INmB2YPYsdip 142139 +0LjQt9Cw0YLQvtGA 142140 +15DXldeg 142141 +15DXldeg15nXkQ== 142142 +15DXldeg15nXkdeo16E= 142143 +15DXldeg15nXkdeo16HXmdeY16o= 142144 +INGA0LDRgdGB0LzQsNGC 142145 +INGA0LDRgdGB0LzQsNGC0YA= 142146 +INGA0LDRgdGB0LzQsNGC0YDQuNCy0LA= 142147 +2KrZg9mE2YU= 142148 +2YPYqtix2Yg= 142149 +2YPYqtix2YjZhtmK 142150 +INGB0L7Rh9C10YI= 142151 +INGB0L7Rh9C10YLQsA== 142152 +44KS6KaL44Gb 142153 +IG5n4burYQ== 142154 +INCg0LXRgdC/ 142155 +INCg0LXRgdC/0YPQsQ== 142156 +INCg0LXRgdC/0YPQsdC70LjQug== 142157 +44Km44Kp 142158 +44Km44Kp44O8 142159 +INCc0LXQttC00YM= 142160 +IOyeiOqyjA== 142161 +IG3Dog== 142162 +IOyalOyyrQ== 142163 +2LbYp9ix 142164 +4Lil4Li44LmJ4LiZ 142165 +64yA7ZWZ6rWQ 142166 +15bXmdeb 142167 +15bXmdeb16jXldef 142168 +44K544Oa 142169 +44K544Oa44O844K5 142170 +INC60YDQsNGB0L7Rgg== 142171 +77yo 142172 +6ryt 142173 +44KS6ZuG 142174 +44KS6ZuG44KB 142175 +67Cd 142176 +INeU16DXkA== 142177 +INeU16DXkNep150= 142178 +IOqwgOyatA== 142179 +IOqwgOyatOuNsA== 142180 +2KrZg9mE2YHYqQ== 142181 +INit2YLZitmC2Yo= 142182 +IGhhbGs= 142183 +IGhhbGvEsW4= 142184 +0Y7RidGD0Y4= 142185 +INGB0L/QuNC9 142186 +16HXqNeY158= 142187 +INC/0LXRgNCy0L7Qs9C+ 142188 +INC/0L7Qu9C+0LY= 142189 +INC/0L7Qu9C+0LbQuNGC0LXQu9GM0L0= 142190 +INC00Ls= 142191 +INC00LvQuNGC0LXQu9GM0L0= 142192 +IFbEqW5o 142193 +6rS0 142194 +INGB0YvRgA== 142195 +IO2Gte2VmOyXrA== 142196 +67OR7JuQ 142197 +4LmC4Lij4LiH4LiH4Liy4LiZ 142198 +4Lij4Lix4Lia4Lic4Li04LiU 142199 +4Lij4Lix4Lia4Lic4Li04LiU4LiK4Lit4Lia 142200 +2KrYrNmG2Kg= 142201 +c8WC 142202 +c8WCdWNo 142203 +44Ki44Or44OQ 142204 +44Ki44Or44OQ44Og 142205 +64m07Iqk 142206 +IHBhdGnDqw== 142207 +IHBhdGnDq250 142208 +IOyYpO0= 142209 +IOyYpO2e 142210 +IOyYpO2eiA== 142211 +IOyYpO2eiOugpA== 142212 +IERlcm5l 142213 +IERlcm5lxJ9p 142214 +d3LDs2Np 142215 +d3LDs2NpxIc= 142216 +INC+0LHRiQ== 142217 +INC+0LHRidC10YHRgtCy 142218 +INC+0LHRidC10YHRgtCy0LXQvdC90L4= 142219 +IOq1kOyImA== 142220 +dMSxxJ/EsW3EsXo= 142221 +INeU157XqdeZ15E= 142222 +a8O2cnBlcg== 142223 +INC/0L7Qt9Cy0L7Quw== 142224 +INC/0L7Qt9Cy0L7Qu9C40YI= 142225 +IENoaeG6v24= 142226 +2KPYrtmI 142227 +IEF5ZMSxbg== 142228 +4LiU4LmJ4Liy4LiZ4Lil 142229 +4LiU4LmJ4Liy4LiZ4Lil4LmI4Liy4LiH 142230 +IGRydQ== 142231 +IGRydcW8 142232 +IGRydcW8eW4= 142233 +IOuwnO2RnA== 142234 +IFRo4bqjbw== 142235 +2KzZh9in2K8= 142236 +4LiB4Lij4Liw4LiX4Li54LmJ 142237 +INC60YDQvtCy 142238 +INC60YDQvtCy0Lg= 142239 +IGnDp2VyaWs= 142240 +IG5hZHppZQ== 142241 +IG5hZHppZWrEmQ== 142242 +INCh0LzQvtGC0YA= 142243 +IHBo4bupYw== 142244 +2KzYqtmF2KfYuQ== 142245 +2KzYqtmF2KfYudmK2Kk= 142246 +0LrQvtC80L/QvtC9 142247 +0LrQvtC80L/QvtC90LXQvdGC 142248 +INCx0LjQuw== 142249 +INCx0LjQu9C10YI= 142250 +44OQ44Oz44OJ 142251 +IFBvbMOtY2lh 142252 +2KfZhNiq2Yc= 142253 +2KfZhNiq2YfYp9io 142254 +2K3YsdmB 142255 +2KrYrti3 142256 +2KrYrti32YrYtw== 142257 +44Kz44O844M= 142258 +44Kz44O844OS 142259 +44Kz44O844OS44O8 142260 +772l772l772l 142261 +4LiL4Lit4Lii 142262 +IGNyw6lkaXQ= 142263 +6LK344Gj44Gf 142264 +INC/0L7RgNGP0LQ= 142265 +INC/0L7RgNGP0LTQutC1 142266 +IHBow7M= 142267 +IHdpZGE= 142268 +IHdpZGHEhw== 142269 +2KzYsdin2KbZhQ== 142270 +4Lic4Li1 142271 +IGLEmWTEmQ== 142272 +INee16TXqteX 142273 +44OR44O844M= 142274 +44OR44O844OG 142275 +44OR44O844OG44Kj 142276 +44OR44O844OG44Kj44O8 142277 +IEthxbw= 142278 +IEthxbxkeQ== 142279 +INC90LXQvtCx0YXQvtC00LjQvNC+0YHRgtC4 142280 +4Lif4Lit4Lij4LmM 142281 +4Lif4Lit4Lij4LmM4Lih 142282 +INC80LDQu9GL0Yg= 142283 +INC/0LvQvtGC 142284 +INGD0YHRgtGA0L7QuQ== 142285 +INGD0YHRgtGA0L7QudGB0YLQstCw 142286 +4LiW4Lit4LiZ 142287 +IG9sdcWfdHVydWw= 142288 +IMWbd2lhZA== 142289 +IMWbd2lhZG9t 142290 +2YXYudmH2K8= 142291 +INC/0YDQvtC40LfQstC10LTQtdC9 142292 +xqA= 142293 +16jXmdep 142294 +2YXYs9iq2Ks= 142295 +2YXYs9iq2KvZhdix 142296 +16DXmdeZ16g= 142297 +cGHDsQ== 142298 +IDstKQ== 142299 +IOuwnOqyrA== 142300 +IGfDtnLDvHlvcg== 142301 +2YXYpNmE2YE= 142302 +IMSQ4buB 142303 +INin2YTZhtmI2KfYqA== 142304 +15fXp9eZ16jXlA== 142305 +IG3hu49p 142306 +6L+w44G5 142307 +0J3QuNC6 142308 +7J6W7JWE 142309 +7J6W7JWE7JqU 142310 +cHJvd2FkemnFgg== 142311 +bMOzZw== 142312 +bMOzZ2ljYQ== 142313 +16TXodeY 142314 +16TXodeY15nXkdec 142315 +INee15PXlA== 142316 +INee15PXlNeZ150= 142317 +44GT44GT44G+44Gn 142318 +15TXqteX 142319 +15TXqteX15zXlA== 142320 +INek15XXoQ== 142321 +INek15XXodeY15nXnQ== 142322 +INC90LXQsg== 142323 +INC90LXQstC+0Lc= 142324 +INC90LXQstC+0LfQvNC+0LbQvdC+ 142325 +IGRvc3TEmXBueQ== 142326 +INi62KfZhA== 142327 +INi62KfZhNio 142328 +IGJlenBpZWN6ZcWEc3Q= 142329 +IGJlenBpZWN6ZcWEc3R3YQ== 142330 +5YiG44GL44KL 142331 +IEbDvGhydW5n 142332 +4LiB4Li14LmJ 142333 +Z2Vtw6TDnw== 142334 +4LiK4LmI4Lin4LiH4LmA4Lin4Lil4Liy 142335 +IOyasOumrOuCmA== 142336 +IOyasOumrOuCmOudvA== 142337 +44Gl44GP44KK 142338 +INin2YTZhdiz2YQ= 142339 +INin2YTZhdiz2YTYrdip 142340 +IGxpYmVydMOp 142341 +0LrQu9GO0YfQtdC90LjQtQ== 142342 +IHphbcOzdw== 142343 +IHphbcOzd2llbmlh 142344 +4Lij4LiW4LmE4Lif 142345 +2KPZgdmE 142346 +2KPZgdmE2KfZhQ== 142347 +2YXYsdin2Kw= 142348 +2YXYsdin2KzYudip 142349 +IOu5hOq1kA== 142350 +INin2YTYqtin2Kg= 142351 +INin2YTYqtin2KjYudip 142352 +IOunjOuCmA== 142353 +INCx0YPQvA== 142354 +INCx0YPQvNCw0LM= 142355 +IGfDqW5lcm8= 142356 +IOyemOuquw== 142357 +157XpNeV16jXmA== 142358 +6LK344GE54mp 142359 +INmE2K/ZitmD 142360 +INec16LXmdeq 142361 +INec16LXmdeq15nXnQ== 142362 +IHPFgmFi 142363 +INC/0YDQtdC00YHRgtCw0LLQu9GP 142364 +44K/44Kk44OI 142365 +44K/44Kk44OI44Or 142366 +2YXYtQ== 142367 +2YXYtdi32YE= 142368 +2YXYtdi32YHZiQ== 142369 +IGRpZmZpY3VsdMOp 142370 +44OG44Kj44OW 142371 +IHBld25vxZtjaQ== 142372 +IHBld25vxZtjacSF 142373 +IOustOyKqA== 142374 +2KXYsdiz 142375 +2KXYsdiz2KfZhA== 142376 +INC00LDQu9GM 142377 +INC00LDQu9GM0YjQtQ== 142378 +INec16DXoQ== 142379 +INec16DXodeV16o= 142380 +4Lir4Lih4Li54LmI4Lia4LmJ4Liy4LiZ 142381 +157Xodee15vXmQ== 142382 +2KPYs9mE2YjYqA== 142383 +IHp3xYI= 142384 +IHp3xYJhcw== 142385 +IHp3xYJhc3pj 142386 +IHp3xYJhc3pjemE= 142387 +INC/0YDQtdC2 142388 +INC/0YDQtdC20LTQtQ== 142389 +INC+0YDQs9Cw0L3QuNC30LDRhtC40Y8= 142390 +IGTDtm5lbWlu 142391 +IGTDtm5lbWluZGU= 142392 +IOG7pg== 142393 +IOG7pnk= 142394 +5LiL44GS 142395 +INC/0L7RgdC70LXQtNC90LjQtQ== 142396 +IGfDvG5l 142397 +IGfDvG5lxZ8= 142398 +INeQ15bXqA== 142399 +INeQ15bXqNeX15k= 142400 +44Gn44GC44KN44GG 142401 +INmG2YI= 142402 +INmG2YLYp9i3 142403 +5q2j44GX44GE 142404 +INGA0LXQsw== 142405 +INGA0LXQs9C40L7QvdCw 142406 +IEbDtnJkZXI= 142407 +6rK97JiB 142408 +ZMSxa2xhcg== 142409 +ZMSxa2xhcsSxbsSx 142410 +dHJ6eW1hxIc= 142411 +2KPYtNmD 142412 +2KPYtNmD2KfZhA== 142413 +15TXqteQ 142414 +15TXqteQ157XlA== 142415 +4LiX4Liz4LmD4Lir4LmJ4LmA4LiB4Li04LiU 142416 +IEdlYsOk 142417 +IEdlYsOkdWRl 142418 +INCh0LXRgNCz 142419 +INCh0LXRgNCz0LXQuQ== 142420 +INC30LTQvtGA0L7Qsg== 142421 +INC30LTQvtGA0L7QstGM0Y8= 142422 +IHLDo2k= 142423 +INC/0YDQtdC00YPRgQ== 142424 +INC/0YDQtdC00YPRgdC80L7RgtGA 142425 +INC/0YDQtdC00YPRgdC80L7RgtGA0LXQvQ== 142426 +INeU16bXmdeR 142427 +INeU16bXmdeR15XXqNeZ 142428 +IGTDqXNpcg== 142429 +INC90L7Rhw== 142430 +INC90L7Rh9GM 142431 +bcO2Z2xpY2hrZWl0ZW4= 142432 +INeQ15fXqNeV16DXmded 142433 +IHNvaXLDqWU= 142434 +IE5o4bqtbg== 142435 +2ao= 142436 +4Lib4Lij4Liw4Lin4Lix4LiV4Li04Lio4Liy4Liq4LiV4Lij4LmM 142437 +6rWQ7Ya1 142438 +INij2K7Zig== 142439 +IGTDqWNpZA== 142440 +IGTDqWNpZMOp 142441 +IHd5amE= 142442 +IHd5amHFm25p 142443 +IOC4quC4tA== 142444 +IOC4quC4tOC4hw== 142445 +IOC4quC4tOC4h+C4q+C4sg== 142446 +IOC4quC4tOC4h+C4q+C4suC4hOC4oQ== 142447 +4LmB4Lit4Lij4LmM 142448 +4Lir4LiZ4LmJ4Liy4LiI4Lit 142449 +16HXqteo 142450 +IOq2 142451 +IOq2jA== 142452 +IOq2jOumrA== 142453 +cGzDpHR6ZQ== 142454 +2KjYt9mE 142455 +6rG07ISk 142456 +INeQ15nXnteZ 142457 +INeQ15nXnteZ15nXnA== 142458 +44G9 142459 +2KrYsdin2Ks= 142460 +15DXnNeZ157Xldeq 142461 +IGRpc3BvbsOtdmVpcw== 142462 +IHphbGU= 142463 +IHphbGXFvHk= 142464 +4Lib4Lij4Liw4LiK4Liy4Liq4Lix4Lih4Lie4Lix4LiZ4LiY4LmM 142465 +IMWad2lhdA== 142466 +IHBvcsOzd24= 142467 +IHBvcsOzd25h 142468 +INec15jXldeR16o= 142469 +15TXltee16DXlA== 142470 +INeb16rXldem15DXlA== 142471 +INeR16fXnA== 142472 +INeR16fXnNeV16o= 142473 +INC+0YLQutGA 142474 +INC+0YLQutGA0YvQstCw 142475 +44OR44Ov44O8 142476 +67+Q66eM 142477 +INCy0YHRjw== 142478 +INCy0YHRj9C6 142479 +44Go44Gq44Gj44Gm44GE44KL 142480 +IGdp4bqtbg== 142481 +INC+0LrRgNGD 142482 +INC+0LrRgNGD0LbQsA== 142483 +INC+0LrRgNGD0LbQsNGO0Yk= 142484 +IFVuaXZlcnNpdMOkdA== 142485 +INGA0L7Qtg== 142486 +INGA0L7QttC0 142487 +INGA0L7QttC00LXQvdC40Y8= 142488 +2K7ZitmE 142489 +INC60L7QvNC/0LDQvdC40Lk= 142490 +INGA0LDQt9C70LjRh9C90YvQtQ== 142491 +INCm0LXQvdCw 142492 +16DXmdeV15Y= 142493 +16DXmdeV15bXnA== 142494 +16DXmdeV15bXnNeY16g= 142495 +IOqzteqwhA== 142496 +IOqwnOuFkA== 142497 +bGFuZMSxcm1h 142498 +INGD0LTQsNC70LXQvQ== 142499 +4Lie4Lix4LiB4Lic 142500 +4Lie4Lix4LiB4Lic4LmI4Lit4LiZ 142501 +IHByb3RlY2Npw7Nu 142502 +IGLFgg== 142503 +IGLFgsSZZA== 142504 +w4g= 142505 +IO2WieuztQ== 142506 +IMWfw7w= 142507 +IMWfw7xwaGU= 142508 +IO2U 142509 +IO2UvA== 142510 +IO2UvO2VtA== 142511 +IOuLpOultA== 142512 +4LmE4Lih4LmI4LmA4LiB4Li04LiZ 142513 +44G/44Gq 142514 +44G/44Gq44GV44KT 142515 +INC/0L7RgtGA0LXQsQ== 142516 +INC/0L7RgtGA0LXQsdC40YLQtdC7 142517 +INin2YTZg9mE2KfZhQ== 142518 +7JWE67KE 142519 +7JWE67KE7KeA 142520 +44KS5L2/44Gj44Gf 142521 +IGLhu6Vp 142522 +INC/0L7RgtC10YA= 142523 +INC/0L7RgtC10YDRjw== 142524 +INii2YTYp9mB 142525 +INC90LDRgdGC0L7Rj9GJ0LXQtQ== 142526 +44GP44Gq44KK44G+44GX44Gf 142527 +Y2x1c8Ojbw== 142528 +44Kz44OU44O8 142529 +16bXpNeZ 142530 +16bXpNeZ15nXlA== 142531 +2K7ZhNin 142532 +2K7ZhNin2LU= 142533 +4Lil4LmJ4Liz 142534 +44Ov44Kk44Oz 142535 +IOC4oeC4teC4meC4sg== 142536 +IOC4oeC4teC4meC4suC4hOC4oQ== 142537 +2LTYrti1 142538 +2LTYrti12YrYp9iq 142539 +INeW16c= 142540 +INeW16fXlden 142541 +15nXmdem 142542 +15nXmdem15I= 142543 +6ICD44GI5pa5 142544 +IMO8csO8bsO8 142545 +INC40YHQv9C+0Ls= 142546 +INC40YHQv9C+0LvQvdC4 142547 +IGNvbXBhw7Flcm8= 142548 +16fXpteU 142549 +157Xoteg15nXpw== 142550 +2YXYrdmF2K8= 142551 +IGPDoW1hcmE= 142552 +INC/0LXQtA== 142553 +INC/0LXQtNCw0LM= 142554 +INC/0LXQtNCw0LPQvtCz 142555 +0LzQsNGA 142556 +0LzQsNGA0Lo= 142557 +15TXqteg15LXkw== 142558 +IOyGjOqwnA== 142559 +IGNvbXVuaXTDoA== 142560 +6rOk 142561 +IE5nw6Bp 142562 +4Liq4LiH4Lia 142563 +IG1pZXN6a2HFhGPDs3c= 142564 +INmG2YfYp9im2Yo= 142565 +aXZpdMOp 142566 +INC40LTQtQ== 142567 +INC40LTQtdCw0LvRjNC9 142568 +INij2LPYqNmI2Lk= 142569 +INeZ16LXnA== 142570 +INec16jXkNep 142571 +INec16jXkNep15XXoNeU 142572 +INC30LDQv9C40YHQuA== 142573 +INC60L7RgNC/0YPRgQ== 142574 +4Lin4LiH4Lio 142575 +4Lin4LiH4Lio4LmM 142576 +INCU0Lw= 142577 +INCU0LzQuNGC 142578 +INCU0LzQuNGC0YA= 142579 +IGvDtm5udA== 142580 +IGLDtmxnZXM= 142581 +IGLDtmxnZXNpbmRl 142582 +15vXmdeb 142583 +15vXmdeb16g= 142584 +INin2YTYpdir2YY= 142585 +INin2YTYpdir2YbZitmG 142586 +IG5n4buZ 142587 +7Lmg 142588 +2K/Ysdin2Kw= 142589 +IHVkYQ== 142590 +IHVkYcWCbw== 142591 +7LqQ 142592 +2KjYsdmG2KfZhdis 142593 +INGB0YPQtNC10LE= 142594 +INGB0YPQtNC10LHQvQ== 142595 +IHp1bsOkY2hzdA== 142596 +IEVkdWNhY2nDs24= 142597 +44Go44Gq44Gj44Gm44GE44G+44GZ 142598 +INeU15DXnteZ16rXmQ== 142599 +IMSwbnQ= 142600 +IMSwbnRlcm5ldA== 142601 +IGNhxYJlZ28= 142602 +44OX44Oq44Oz 142603 +2KXYqNiv 142604 +2KXYqNiv2KfYuQ== 142605 +INC/0L7RgNGC0LDQuw== 142606 +4LmC4LiV4LmJ 142607 +INeU16fXqdeV16g= 142608 +0L/Qu9C+0LQ= 142609 +INmF2K8= 142610 +INmF2K/YsdmK2K8= 142611 +157Xodei15PXlA== 142612 +INi02YrYpg== 142613 +INi02YrYptin 142614 +4LiB4LmI4Lit4Liq4Lij4LmJ4Liy4LiH 142615 +IOywuOqzoA== 142616 +4LmA4LiX4Lij 142617 +4LmA4LiX4Lij4LiU 142618 +INeR157Xp9eo15nXnQ== 142619 +IGLDonQ= 142620 +IGLDonRpbWVudA== 142621 +5ZG844Gz 142622 +57Sg5pW1 142623 +57Sg5pW144Gq 142624 +cHJ6ZWRzacSZYmlvcnN0 142625 +cHJ6ZWRzacSZYmlvcnN0dw== 142626 +INeg16rXldeg15nXnQ== 142627 +15fXnNeV150= 142628 +4Lij4Lin4Lii 142629 +2YXZiNi22YjYuQ== 142630 +INGB0L7QsdGA0LDQvQ== 142631 +0LLQtdC00YPRiQ== 142632 +INGC0LXQsNGC 142633 +INGC0LXQsNGC0YA= 142634 +bWV5ZQ== 142635 +bWV5ZWNlxJ9p 142636 +IHBpZW5pxIU= 142637 +IHBpZW5pxIVk 142638 +IHBpZW5pxIVkemU= 142639 +0YDQtdC30LjQtNC10L3Rgg== 142640 +2K3Ytdix 142641 +7Jil 142642 +4LmA4Lii4Li34Lit4LiZ 142643 +INGD0L3QuA== 142644 +INGD0L3QuNCy0LXRgA== 142645 +INGD0L3QuNCy0LXRgNGB 142646 +INGD0L3QuNCy0LXRgNGB0LjRgtC10YI= 142647 +INin2YTYsdit 142648 +INin2YTYsdit2YXZhg== 142649 +INGC0LXRhdC90L7Qu9C+0LM= 142650 +INGC0LXRhdC90L7Qu9C+0LPQuNC4 142651 +7JeQ64SI 142652 +7JeQ64SI7KeA 142653 +IO2VrQ== 142654 +IO2VreyDgQ== 142655 +4LiY4Liy 142656 +4LiY4Liy4LiV4Li4 142657 +IEVzcGHDsW9s 142658 +15PXktep 142659 +IOq1iQ== 142660 +IOq1ieyepQ== 142661 +IOq1ieyepe2eiA== 142662 +IMWCYXQ= 142663 +IMWCYXR3bw== 142664 +IGvhu4tjaA== 142665 +2KXYsg== 142666 +2KXYstin2YTYqQ== 142667 +INC00LXQudGB0YLQstC40LU= 142668 +IHNhxJ9sYXlhbg== 142669 +4Liq4Li44LiU4Lii4Lit4LiU 142670 +IHpvc3RhxIc= 142671 +IGRpc3BvbsOtdmVs 142672 +77qN 142673 +dmVyc3TDpG5k 142674 +dmVyc3TDpG5kbGljaA== 142675 +dHdvcg== 142676 +dHdvcnp5xIc= 142677 +2LnYrNiy 142678 +4LmA4LiC4LmJ4Lih 142679 +4Lii4LmI4Lit4Lih 142680 +IHN0cmF0w6ln 142681 +IHN0cmF0w6lnaWU= 142682 +4Lic4Lil4LmE4Lih4LmJ 142683 +IOqwgeyihQ== 142684 +INmF2YjYpw== 142685 +INmF2YjYp9i2 142686 +INmF2YjYp9i22YrYuQ== 142687 +2KfYrdiq2Kw= 142688 +2KfYrdiq2KzYp9is 142689 +IOG6pA== 142690 +IOG6pG4= 142691 +157Xntep15zXlA== 142692 +IMWfZWtpbA== 142693 +157Xl9ec 142694 +157Xl9ec15XXqg== 142695 +IOC4mA== 142696 +IOC4mOC4seC4mQ== 142697 +IOC4mOC4seC4meC4p+C4sg== 142698 +IOC4mOC4seC4meC4p+C4suC4hOC4oQ== 142699 +IOyLpOygnA== 142700 +IOyLpOygnOuhnA== 142701 +7KSR7JWZ 142702 +642U6528 142703 +INGI0LjRgA== 142704 +INGI0LjRgNC+0LrQvg== 142705 +IHNvbHVjacOzbg== 142706 +4Lin4Liy4LiH4LmB4Lic4LiZ 142707 +15DXldeY15XXng== 142708 +15DXldeY15XXnteY15k= 142709 +INGA0LXRgdGC 142710 +INGA0LXRgdGC0L7RgA== 142711 +INGA0LXRgdGC0L7RgNCw0L0= 142712 +6424 142713 +0YLRgNCw0LQ= 142714 +0YLRgNCw0LTQuA== 142715 +0YLRgNCw0LTQuNGG0LjQvtC9 142716 +0YLRgNCw0LTQuNGG0LjQvtC90L0= 142717 +4Lih4Liw4LmA4Lij4LmH 142718 +4Lih4Liw4LmA4Lij4LmH4LiH 142719 +4LmC4Liq 142720 +IG9sbWFzxLFuxLE= 142721 +157Xldeh16g= 142722 +INC+0YLQvdC+0YjQtdC90LjQuA== 142723 +IOqwgOuKpeyEsQ== 142724 +IHl1aw== 142725 +IHl1a2FyxLE= 142726 +7IaU 142727 +INGB0YQ= 142728 +INGB0YTQtdGA0LU= 142729 +INen15XXpA== 142730 +44Kx44O844I= 142731 +44Kx44O844Kt 142732 +4oCV4oCV 142733 +INin2YTYo9mE2YU= 142734 +INin2YTYo9mE2YXYp9mG2Yo= 142735 +4bqiTg== 142736 +16rXldeb16DXmdeV16o= 142737 +INGB0YPRidC10YHRgtCy0YPQtdGC 142738 +5oiR44CF 142739 +INin2YTYtdin2K/YsQ== 142740 +IFRy4buNbmc= 142741 +INCw0LQ= 142742 +INCw0LTQvNC40L3QuNGB0YI= 142743 +INCw0LTQvNC40L3QuNGB0YLRgNCw 142744 +INCw0LTQvNC40L3QuNGB0YLRgNCw0YbQuA== 142745 +INC00YDRg9Cz0LjQvNC4 142746 +0YHQv9C10Yg= 142747 +2LnZhNin2YXYp9iq 142748 +INCw0LE= 142749 +INCw0LHRgdC+0Ls= 142750 +INCw0LHRgdC+0LvRjtGC 142751 +INCw0LHRgdC+0LvRjtGC0L3Qvg== 142752 +4Lik4LiU4Li5 142753 +w6l0cg== 142754 +w6l0cmFuZ2Vy 142755 +0L3Rj9GC0Lg= 142756 +0L3Rj9GC0LjQtQ== 142757 +16LXldeg 142758 +16LXldeg16k= 142759 +INmC2KfYpg== 142760 +INmC2KfYptmE2Kc= 142761 +INC80LDRgQ== 142762 +INC80LDRgdC70L4= 142763 +44OJ44Kk 142764 +44OJ44Kk44OE 142765 +5b+F6KaB44GM44GC44KK44G+44GZ 142766 +157XldeW15nXkA== 142767 +157XldeW15nXkNeV158= 142768 +IE5nb+G6oWk= 142769 +IGvDqm5o 142770 +4LiB4Liy4Lij4Lit4Lit4LiB4LmB4Lia4Lia 142771 +157XpNen 142772 +157XpNen15M= 142773 +2YXZhtin2LI= 142774 +2YXZhtin2LLZhA== 142775 +67ew 142776 +7Zek 142777 +2YXZh9in2LHYp9iq 142778 +IHByb3ByacOpdMOp 142779 +16TXkteZ16nXlA== 142780 +0YfRgA== 142781 +0YfRgNC10LY= 142782 +0YfRgNC10LbQtNC10L0= 142783 +15TXldem15DXlA== 142784 +2K3Zg9mK2YU= 142785 +IO2ZiA== 142786 +IO2ZiO2OmOydtOyngA== 142787 +5Y6z 142788 +5Y6z44GX44GE 142789 +16LXnteT15Q= 142790 +IEF1w59lbg== 142791 +2LPZiNih 142792 +67mI 142793 +INmI2K4= 142794 +INmI2K7Yp9i12Kk= 142795 +0LjQvdGC0LXRgA== 142796 +0LjQvdGC0LXRgNC10YE= 142797 +6Ie044GX44G+44GZ 142798 +IGjDvGvDvG0= 142799 +4LmE4LiC4Lih4Lix4LiZ 142800 +IGRhdnJhbg== 142801 +IGRhdnJhbsSxxZ8= 142802 +4LmA4LiV4Li14Lii4LiH 142803 +0LLRgNC10Lw= 142804 +0LLRgNC10LzQtdC90L3Qvg== 142805 +4LmA4LiX4Lio4LiB4Liy 142806 +4LmA4LiX4Lio4LiB4Liy4Lil 142807 +5byV44Gj 142808 +5byV44Gj6LaK44GX 142809 +15DXqNeV15c= 142810 +15DXqNeV15fXqg== 142811 +4LmA4Lin4Li0 142812 +4LmA4Lin4Li04Lij4LmM 142813 +4Lit4Lii4LmI4Liy4LiH4Lij4Lin4LiU4LmA4Lij4LmH4Lin 142814 +IOyXrO2WiQ== 142815 +INGA0LDQvdGM 142816 +INGA0LDQvdGM0YjQtQ== 142817 +IHpvYm93 142818 +IHpvYm93acSF 142819 +IHpvYm93acSFeg== 142820 +INeV15vXnteV15HXnw== 142821 +INin2YTZhdmH 142822 +INin2YTZhdmH2YbZig== 142823 +44Ki44K4 142824 +44Ki44K444Ki 142825 +67Cp7Iah 142826 +4Lit4Lit4LiB4LiB4Liz4Lil4Lix4LiH 142827 +4Lit4Lit4LiB4LiB4Liz4Lil4Lix4LiH4LiB4Liy4Lii 142828 +YW3DqWxp 142829 +YW3DqWxpb3Jlcg== 142830 +5b2T44Gf44KK5YmN 142831 +IHJlZ2VsbQ== 142832 +IHJlZ2VsbcOkw59pZw== 142833 +44GK5Ys= 142834 +44GK5Yun 142835 +44GK5Yun44KB 142836 +IG3GsOG7nWk= 142837 +2KjYsdmF2Kw= 142838 +IE5hdMO8cmxpY2g= 142839 +IETFqW5n 142840 +INin2YTYsdis2KfZhA== 142841 +IHRow6lw 142842 +IG9sbXXFn3R1cg== 142843 +157Xldeh15nXp9eU 142844 +ZsOkbGxl 142845 +7KO87YOd 142846 +INin2YTZgdix2LU= 142847 +IG5handpxJlrcw== 142848 +IG5handpxJlrc3p5 142849 +IMOnYcSf 142850 +IMOnYcSfcsSx 142851 +7Lig 142852 +IHbDrWN0 142853 +IHbDrWN0aW1h 142854 +INGB0L7QstC10YDRiNC10L0= 142855 +15TXmdeZ16rXmQ== 142856 +4LmA4LiU4Li1 142857 +4LmA4LiU4Li14LmL 142858 +4LmA4LiU4Li14LmL4Lii4Lin 142859 +w7x5w7w= 142860 +INC00L7Qvw== 142861 +INC00L7Qv9C+0LvQvQ== 142862 +INC00L7Qv9C+0LvQvdC40YLQtdC70YzQvdC+ 142863 +4LmB4LiV4LiB4LiV4LmI4Liy4LiH4LiB4Lix4LiZ 142864 +IMOhbA== 142865 +IMOhbGJ1bQ== 142866 +4Lib4Lij4Liw4LiI4Liz4Lib4Li1 142867 +INGE0LXQtNC10YA= 142868 +INGE0LXQtNC10YDQsNC70YzQvQ== 142869 +IG9ic8WC 142870 +IG9ic8WCdWdp 142871 +4LmA4Lij4Li34LmI 142872 +4LmA4Lij4Li34LmI4Lit4Lii 142873 +4LmA4Lij4Li34LmI4Lit4Lii4LmG 142874 +64GM 142875 +IG5naMOsbg== 142876 +IEJhxZ9rYW5sxLHEn8Sx 142877 +2KrYo9iz2Yo= 142878 +2KrYo9iz2YrYsw== 142879 +INeR15HXlden16g= 142880 +INei15HXldeT15XXqg== 142881 +INio2LXZiNix2Kk= 142882 +44KP44GR44Gn44Gv44Gq44GE 142883 +ZsO8aHJlcg== 142884 +44K544Kt 142885 +44K544Kt44Or 142886 +INin2YTZgti2 142887 +INin2YTZgti22YrYqQ== 142888 +INC00L7Qu9C20L3QvtGB0YI= 142889 +2YHYp9ix2YI= 142890 +IGNvbWXDp291 142891 +IG9yZ2FuaXPDqQ== 142892 +IHh1w6Ju 142893 +INGB0L7QvtCx0YnQsNC10YI= 142894 +INC/0YDQuNC0 142895 +INC/0YDQuNC00LXRgtGB0Y8= 142896 +VMOcUks= 142897 +44Os44O844K344On44Oz 142898 +S2jDtG5n 142899 +2KfYs9iq2YE= 142900 +2KfYs9iq2YHYp9iv2Kk= 142901 +5LiK44GM44Gj44Gm 142902 +IHVtaWU= 142903 +IHVtaWVqxJk= 142904 +IHVtaWVqxJl0bg== 142905 +IHVtaWVqxJl0bm/Fm2Np 142906 +64K4 142907 +4LmA4LiZ4Lit4Lij4LmM 142908 +15PXldeV15c= 142909 +w61zaW1v 142910 +ScOK 142911 +ScOKTg== 142912 +IGFsY2Fuw6c= 142913 +IOC4leC4uA== 142914 +IOC4leC4uOC4peC4sg== 142915 +IOC4leC4uOC4peC4suC4hOC4oQ== 142916 +16nXnNeY15XXnw== 142917 +IMOpbMOo 142918 +IMOpbMOodmVz 142919 +IMSRdQ== 142920 +IMSRdeG7lWk= 142921 +INij2YE= 142922 +INij2YHYsdmK 142923 +INij2YHYsdmK2YLZig== 142924 +INij2YHYsdmK2YLZitin 142925 +44KS5o6i44GZ 142926 +INC/0YDQtdC00LvQvtC20LXQvdC40Y8= 142927 +2KzYp9iv 142928 +INGF0L7RgtGM 142929 +0YHQsNC7 142930 +0YHQsNC70L7QvQ== 142931 +4Lib4Lij4Liw4LmA4Lih 142932 +4Lib4Lij4Liw4LmA4Lih4Li04LiZ 142933 +44Kt44OD44OB 142934 +44Kt44OD44OB44Oz 142935 +15HXk9eZ16fXldeq 142936 +IGNow7k= 142937 +IGNow7lh 142938 +0JLQuNC00LU= 142939 +0JLQuNC00LXQvg== 142940 +0LjRgNC+0LLQutCw 142941 +INGF0L7RgtC40YLQtQ== 142942 +IHNww6ljaWZpcXVl 142943 +4Lij4Liq4LiK4Liy4LiV4Li0 142944 +6L6844KT44Gg 142945 +5Ly444Gz 142946 +15TXptec15fXqg== 142947 +44Gp44Gu44KI44GG44Gr 142948 +2LPYudin2K/YqQ== 142949 +INC70LjQtA== 142950 +INC70LjQtNC10YA= 142951 +4Lih4LiH 142952 +4Lih4LiH4LiE4Lil 142953 +2K3Yp9mF2YQ= 142954 +4Lir4Lil4Li44LiU 142955 +4Lit4Lii4LmI4Liy4LiH4LiV4LmI4Lit 142956 +4Lit4Lii4LmI4Liy4LiH4LiV4LmI4Lit4LmA4LiZ4Li34LmI4Lit4LiH 142957 +44GV44Gb44Gm6aCC 142958 +2KrYs9mI2Yo= 142959 +2KrYs9mI2YrZgg== 142960 +IGHFn2HEn8SxZA== 142961 +IGHFn2HEn8SxZGFraQ== 142962 +INGG0LXQu9GM 142963 +INGG0LXQu9GM0Y4= 142964 +IEFyYcWfdMSxcm1h 142965 +4LiC4Lix4Lia4Lij4LiW 142966 +2YfYsNmH 142967 +4Lil4LiH4LiX4Liw 142968 +4Lil4LiH4LiX4Liw4LmA4Lia 142969 +4Lil4LiH4LiX4Liw4LmA4Lia4Li14Lii4LiZ 142970 +2KrZg9in2YXZhA== 142971 +IGNpbw== 142972 +IGNpb8Oo 142973 +44Gm44GK44GP 142974 +INin2YTYtdit2YHZig== 142975 +IO2KueyglQ== 142976 +0L/QvtC70L3QuNGC0Yw= 142977 +44KT44GY44KD44Gq44GE 142978 +44KT44GY44KD44Gq44GE44GL 142979 +INin2YTYrNmH 142980 +INin2YTYrNmH2KfYqg== 142981 +INGD0YHQv9C10YjQvdC+ 142982 +INCy0L7Qug== 142983 +INCy0L7QutGA0YPQsw== 142984 +INGB0LjRgtGD0LDRhtC40Y8= 142985 +INeU15DXnteo 142986 +INeU15DXnteo15nXpw== 142987 +INeU15DXnteo15nXp9eQ15k= 142988 +157XkteW 142989 +157XkteW15nXnw== 142990 +INCw0LrRgtGD 142991 +INCw0LrRgtGD0LDQu9GM0L0= 142992 +w6l0YQ== 142993 +w6l0YWlz 142994 +IG1vZ8WCYQ== 142995 +INGC0L7Rh9C60Lg= 142996 +INee15TXntei 142997 +INee15TXntei16jXm9eq 142998 +4Lih4Li14Lib4Lij4Liw4Liq4Li04LiX4LiY4Li04Lig4Liy4Lie 142999 +15nXqNeZ15PXlA== 143000 +15LXqNee16A= 143001 +15LXqNee16DXmdeU 143002 +INCz0LvQsNCy 143003 +INCz0LvQsNCy0L3QvtC1 143004 +IOuvuOuemA== 143005 +INeg15vXldeg15Q= 143006 +INmI2LfZhtmK 143007 +b3Bwb3J0 143008 +b3Bwb3J0dW5pdMOg 143009 +IGjhu6d5 143010 +INmE2KrYrQ== 143011 +INmE2KrYrdmC2YrZgg== 143012 +IMOzcmc= 143013 +IMOzcmfDo28= 143014 +44K544OU 143015 +44K544OU44O844OJ 143016 +IMO2bsO8 143017 +IMO2bsO8bmU= 143018 +2YXYudin2YXZhA== 143019 +16nXnteZ16jXlA== 143020 +INCy0LXRgdGM0LzQsA== 143021 +IHdpxJlrc3pv 143022 +IHdpxJlrc3pvxZvEhw== 143023 +INin2LPYqtix2KfYqtmK2Kw= 143024 +INin2LPYqtix2KfYqtmK2KzZitip 143025 +INmB2KU= 143026 +INmB2KXYsNin 143027 +4LmA4LiK4Li34LmI4Lit4Lih 143028 +4LmA4LiK4Li34LmI4Lit4Lih4LiV4LmI4Lit 143029 +INec16TXqA== 143030 +INec16TXqNeY15nXnQ== 143031 +2YXYttmK 143032 +IEdlcsOnZWs= 143033 +IMOnb2N1a2xhcsSxbg== 143034 +2YjYq9in2KbZgg== 143035 +INmF2LPYp9ih2Ys= 143036 +IHVudGVyc3TDvHR6dA== 143037 +IHByw6lzdA== 143038 +IHByw6lzdGFtbw== 143039 +INCg0LDQt9C80LXRgA== 143040 +IMWfZWtlcg== 143041 +IHPDqWN1bG8= 143042 +15HXlNeZ16g= 143043 +2LTZh9mI2LE= 143044 +IOC4reC4teC4gQ== 143045 +IOC4reC4teC4geC4l+C4seC5ieC4hw== 143046 +IGxsZWfDsw== 143047 +4Lio4Li04Lil4Lib4Liw 143048 +5oiR44GM 143049 +5oiR44GM5a62 143050 +2LnZgtmI 143051 +2LnZgtmI2KjYp9iq 143052 +IEbDpGxsZQ== 143053 +IHPFgnXFvA== 143054 +IHPFgnXFvGI= 143055 +INin2YTYrdmC2YjZgg== 143056 +INC/0LvQuNGC 143057 +INC40L3QvtGB0YI= 143058 +INC40L3QvtGB0YLRgNCw0L0= 143059 +INC40L3QvtGB0YLRgNCw0L3QvQ== 143060 +4LmD4LiZ4LiC4LiT4Liw4LiX4Li14LmI 143061 +44Kr44OG 143062 +44Kr44OG44K0 143063 +44Kr44OG44K044Oq 143064 +4Lit4Li04Liq 143065 +4Lit4Li04Liq4Lij4Liw 143066 +4LmA4Lic4Lii4LmB 143067 +4LmA4Lic4Lii4LmB4Lie4Lij 143068 +4LmA4Lic4Lii4LmB4Lie4Lij4LmI 143069 +44GK44GE 143070 +44GK44GE44GX44GE 143071 +2KfYs9iq2YLZhA== 143072 +2KfYs9iq2YLZhNin2YQ= 143073 +2KrYrdi2 143074 +2KrYrdi22YrYsQ== 143075 +5Yqp44GR 143076 +2YXYsdin2YHZgg== 143077 +INeT15XXqA== 143078 +INeT15XXqNep 143079 +157XqteZ15nXl9eh 143080 +16HXmdeb 143081 +16HXmdeb15XXnQ== 143082 +7YyM7Yq4 143083 +IHd5xZs= 143084 +IHd5xZt3 143085 +IHd5xZt3aWV0 143086 +IHd5xZt3aWV0bA== 143087 +INin2YTYp9mG2LPYp9mG 143088 +IFN0cmHDn2Vu 143089 +77ys 143090 +44Gr5Z+6 143091 +44Gr5Z+644Gl 143092 +IGNhcMOtdHVsbw== 143093 +4Lil4Li44Lii 143094 +INeU157Xp9em15XXoteZ 143095 +44GC44KL56iL5bqm 143096 +4bui 143097 +INin2YTZhNin 143098 +INin2YTZhNin2LLZhdip 143099 +5pWZ44GI 143100 +INeo16nXkNeZ 143101 +0LfQsNCy 143102 +0LfQsNCy0LjRgQ== 143103 +0LfQsNCy0LjRgdC40Lw= 143104 +4Lib4Lix4LiI4LiI4Lix4Lii 143105 +4LmA4LiL4Lil 143106 +4LmA4LiL4Lil4Lil4LmM 143107 +IGRpZmbDqXJlbmNl 143108 +IEFsdMSxbg== 143109 +INC60YDQsNC5 143110 +INC60YDQsNC50L3QtQ== 143111 +INC30LvQvg== 143112 +IGfDvG7DvG3DvHo= 143113 +INC90LDRgtGD0YA= 143114 +INC90LDRgtGD0YDQsNC70YzQvQ== 143115 +15LXldec16nXmded 143116 +INC60LDRgtC10LPQvtGA 143117 +INC60LDRgtC10LPQvtGA0LjQuA== 143118 +INC30L3QsNC6 143119 +4LiB4LmI4Lit4LiZ4Lir4LiZ4LmJ4Liy 143120 +4LiB4LmI4Lit4LiZ4Lir4LiZ4LmJ4Liy4LiZ4Li14LmJ 143121 +INmF2YbYqg== 143122 +INmF2YbYqtiu2Kg= 143123 +44Ob44O844Or 143124 +INC10LLRgNC+ 143125 +4Liq4Lin 143126 +4Liq4Lin4Lih 143127 +IOychOybkA== 143128 +IOychOybkOuLmA== 143129 +INin2YTYrdmI2Ks= 143130 +INin2YTYrdmI2KvZig== 143131 +INGB0L7QtNC10YDQttC40YI= 143132 +44OV44Kh44OD44K344On44Oz 143133 +IOC4geC4seC4mQ== 143134 +IOC4geC4seC4meC4og== 143135 +IOC4geC4seC4meC4ouC4suC4ouC4mQ== 143136 +44Kq44Oq 143137 +44Kq44Oq44K4 143138 +44Kq44Oq44K444OK44Or 143139 +INCx0YDQtdC90LQ= 143140 +44KS5oyB44Gj44Gm44GE44KL 143141 +IGludmVyc2nDs24= 143142 +IOqwlg== 143143 +IOqwluqzoA== 143144 +IG5vdml0w6A= 143145 +6rSA6rSR 143146 +IOC4nuC4pOC4qQ== 143147 +IOC4nuC4pOC4qeC4oOC4sg== 143148 +IOC4nuC4pOC4qeC4oOC4suC4hOC4oQ== 143149 +15XXqNeX15nXnQ== 143150 +15vXnNeV15w= 143151 +IG5n4bqhYw== 143152 +15nXmdep 143153 +15nXmdep15XXkQ== 143154 +ZsOkbGw= 143155 +ZsOkbGxpZw== 143156 +INGC0YDQtdCx0YPQtdGC0YHRjw== 143157 +IGNhcsOh 143158 +IGNhcsOhY3Rlcg== 143159 +IHByaW5jw61waW8= 143160 +IMWCYXo= 143161 +IMWCYXppZW4= 143162 +IMWCYXppZW5r 143163 +IGdpw6Nu 143164 +0YHRgtGA0LDQuNCy0LA= 143165 +2YXYs9in2Kg= 143166 +2YXYs9in2KjZgtip 143167 +4LmA4LiE4Lij4Li34LmI4Lit4LiH4LiU4Li34LmI4Lih 143168 +2KrYsdmD2YrYqA== 143169 +dm9sdcOnw6Nv 143170 +INCf0L7Rhw== 143171 +INCf0L7Rh9C10Lw= 143172 +INCf0L7Rh9C10LzRgw== 143173 +0LrQsNC30LDQu9C+0YHRjA== 143174 +INC/0YDQuNC80LXQvdC10L3QuNGP 143175 +4LmA4LiX4Li14Lii4Lih 143176 +7YyU 143177 +4LiC4LmJ4Lit4LmA4Liq4LiZ4Lit 143178 +4Lib4Lix4LiN4LiN4Liy 143179 +INC+0LHRg9GH 143180 +INC+0LHRg9GH0LXQvdC40Y8= 143181 +INGB0LXRgNC4 143182 +INGB0LXRgNC40LDQuw== 143183 +IGluZ2zDqXM= 143184 +INmE2YPYsdip 143185 +INeY15w= 143186 +INeY15zXpNeV158= 143187 +IOygkQ== 143188 +IOygkeq3vA== 143189 +15DXldeS 143190 +15DXldeS15XXoQ== 143191 +15DXldeS15XXodeY 143192 +INCx0L7Qu9GM0YjQvtC1 143193 +INCa0L7QvdC10YfQvdC+ 143194 +16LXmdeq15XXoA== 143195 +16LXmdeq15XXoNeQ15k= 143196 +INC60L3QvtC/0Lo= 143197 +INC30L0= 143198 +INC30L3QsNGC0Yw= 143199 +IMSR4bux 143200 +IMSR4buxbmc= 143201 +0LLQu9Cw0LY= 143202 +0LLQu9Cw0LbQvQ== 143203 +157XmdeY15E= 143204 +44Ks44Kk 143205 +44Ks44Kk44OJ 143206 +Li4uLi4uLi4uLg== 143207 +IOC4geC4uOC4oQ== 143208 +IOC4geC4uOC4oeC4oOC4suC4ng== 143209 +IOC4geC4uOC4oeC4oOC4suC4nuC4seC4mQ== 143210 +IOC4geC4uOC4oeC4oOC4suC4nuC4seC4meC4mA== 143211 +IOC4geC4uOC4oeC4oOC4suC4nuC4seC4meC4mOC5jA== 143212 +YmV6 143213 +YmV6cGllY3plxYRzdA== 143214 +YmV6cGllY3plxYRzdHc= 143215 +44OR44OR5rS7 143216 +2LnYp9i3 143217 +2LnYp9i32YE= 143218 +IMSR4bqtbQ== 143219 +INC30YA= 143220 +INC30YDQtdC90LjRjw== 143221 +IGJvcsOn 143222 +INC90LXQtNC10Ls= 143223 +INC90LXQtNC10LvRjg== 143224 +IGjhu48= 143225 +IGjhu49uZw== 143226 +7J6l7JWg 143227 +7J6l7JWg7J24 143228 +INin2YTYudmE2KfZgtip 143229 +IO2BrA== 143230 +IO2BrOqyjA== 143231 +4LmE4Lij4LmI 143232 +4Lia4Liy4LiU 143233 +4Lia4Liy4LiU4LmA4LiI4LmH4Lia 143234 +4Lid4Lij4Lix 143235 +4Lid4Lij4Lix4LmI4LiH 143236 +4Lid4Lij4Lix4LmI4LiH4LmA4Lio 143237 +4Lid4Lij4Lix4LmI4LiH4LmA4Lio4Liq 143238 +16jXoteZ 143239 +16jXoteZ15XXoNeV16o= 143240 +IOuM 143241 +IOuMkw== 143242 +IOuMk+q4gA== 143243 +IG5hamI= 143244 +IG5hamJsaQ== 143245 +IG5hamJsacW8 143246 +IG5hamJsacW8c3o= 143247 +INC40YHQv9C+0LvRjNC30YPQtdGC0YHRjw== 143248 +IGNpZW50w61m 143249 +IGNpZW50w61maWNv 143250 +16LXnten 143251 +IGfhu6Np 143252 +2LTYrdmG 143253 +IMWbbQ== 143254 +IMWbbWllcg== 143255 +IMWbbWllcmNp 143256 +4LiE4Liy4Liq4Li04LmC4LiZ4Lit4Lit4LiZ4LmE4Lil4LiZ4LmM 143257 +15fXqdeR16rXmQ== 143258 +IG5pbmd1 143259 +IG5pbmd1w6lt 143260 +6L6844KB 143261 +44G3 143262 +INGD0LM= 143263 +INGD0LPQvtC7 143264 +772w 143265 +16TXqteZ15c= 143266 +16TXqteZ15fXqg== 143267 +INeU16jXkNep15XXoNeZ150= 143268 +cMOzc2l0bw== 143269 +44Kt44Os44Kk 143270 +44Gp44GT44KN 143271 +4LmA4LiX4LmI4Liy4LmE 143272 +4LmA4LiX4LmI4Liy4LmE4Lir4Lij 143273 +4LmA4LiX4LmI4Liy4LmE4Lir4Lij4LmI 143274 +INC40L3RgtC10YDRjNC10YA= 143275 +INit2KfYrA== 143276 +INit2KfYrNip 143277 +4Liq4Li14LiC4Liy4Lin 143278 +7Ja8 143279 +IG7hu5k= 143280 +IG7hu5lw 143281 +IMOtbmQ= 143282 +IMOtbmRpY2U= 143283 +4Liq4Liz4Lij4Lin4LiI 143284 +INC60LDQttC00L7QuQ== 143285 +IGhvdMOpaXM= 143286 +IG5hc3TEmQ== 143287 +IG5hc3TEmXBu 143288 +INeU16fXldeT 143289 +INeU16fXldeT150= 143290 +16TXldek 143291 +16TXldek15XXnA== 143292 +16TXldek15XXnNeo15k= 143293 +0LLRiNC10Lk= 143294 +44K344Oz44OX 143295 +44K344Oz44OX44Or 143296 +IHpkasSZxIc= 143297 +INCz0YDRg9C/0L/QsA== 143298 +INC/0L7QvNC10Yk= 143299 +INC/0L7QvNC10YnQtdC90LjRjw== 143300 +44Gp44GG44GE44GG 143301 +INC40YHQv9GL0YLQsA== 143302 +IG9nxYI= 143303 +IG9nxYJvcw== 143304 +IG9nxYJvc3plbg== 143305 +IG9nxYJvc3plbmk= 143306 +4Liq4Lij4LmJ4Liy4LiH4Liq4Lij4Lij 143307 +4Liq4Lij4LmJ4Liy4LiH4Liq4Lij4Lij4LiE4LmM 143308 +4Lie4Lij4Lij4LiT 143309 +IMOnxLFrxLHFnw== 143310 +INGH0LDRgdGC0L3QvtGB0YLQuA== 143311 +INeV15nXldeq16g= 143312 +57aa44GN44KS 143313 +57aa44GN44KS6Kqt 143314 +57aa44GN44KS6Kqt44KA 143315 +4LiB4Lij4Lix 143316 +4LiB4Lij4Lix4Lih 143317 +0LPRgNCw0YQ= 143318 +INCy0LvQsNC0 143319 +INCy0LvQsNC00LXQu9GM 143320 +INCy0LvQsNC00LXQu9GM0YY= 143321 +IGlzdGVkacSf 143322 +IGlzdGVkacSfaW5peg== 143323 +15HXnNei 143324 +15HXnNei15PXmQ== 143325 +2YXZiNin2YE= 143326 +2YXZiNin2YHZgtip 143327 +INeZ15XXqA== 143328 +INeZ15XXqNen 143329 +44Kr44O844OJ44Ot44O844Oz 143330 +INin2YTZhdi02YPZhA== 143331 +INin2YTZhdi02YPZhNip 143332 +IOq1re2ajA== 143333 +16HXpNeY 143334 +16HXpNeY154= 143335 +16HXpNeY157Xkdeo 143336 +IOyWtOugtQ== 143337 +2YPYp9mF 143338 +2YPYp9mF2YrYsdin 143339 +c2NobMO8 143340 +c2NobMO8c3Nl 143341 +INir2YY= 143342 +INir2YbYp9im2Yo= 143343 +7Im9 143344 +INCe0YHQvtCx 143345 +INCe0YHQvtCx0LXQvdC90L4= 143346 +INC40L3QstC10YHRgtC4 143347 +INC40L3QstC10YHRgtC40YbQuA== 143348 +2KfYrdiq2YU= 143349 +2KfYrdiq2YXYp9mE 143350 +RcSe 143351 +RcSexLA= 143352 +7ZWY6rKg64uk 143353 +INeQ15HXqNeU 143354 +INeQ15HXqNeU150= 143355 +INeR15fXmdeg150= 143356 +2KPZiNi2 143357 +2KPZiNi22KfYuQ== 143358 +IGTDqWw= 143359 +IGTDqWxhaQ== 143360 +INeQ15XXlNeR15nXnQ== 143361 +INGB0L7RhQ== 143362 +INGB0L7RhdGA 143363 +INGB0L7RhdGA0LDQvdC4 143364 +INC00L7RgdGC0LjQtg== 143365 +INC00L7RgdGC0LjQttC10L3QuA== 143366 +4Liq4Li04LmI4LiH4LmB 143367 +4Liq4Li04LmI4LiH4LmB4Lin4LiU 143368 +4Liq4Li04LmI4LiH4LmB4Lin4LiU4Lil 143369 +4Liq4Li04LmI4LiH4LmB4Lin4LiU4Lil4LmJ4Lit4Lih 143370 +INin2YTZhdio2KfYtNix 143371 +INGE0LjQsw== 143372 +INGE0LjQs9GD0YA= 143373 +0LzQvtC20LXQvA== 143374 +15zXnteZ15PXlA== 143375 +IGNpbsOp 143376 +IGNpbsOpbWE= 143377 +IGJhZGE= 143378 +IGJhZGHFhA== 143379 +2KzYqNmH2Kk= 143380 +INC00LXQvw== 143381 +INC00LXQv9GD0YI= 143382 +INC00LXQv9GD0YLQsNGC 143383 +IGRpc3TDom5jaWE= 143384 +INin2YTZhdi52KfYsQ== 143385 +INin2YTZhdi52KfYsdi22Kk= 143386 +dGjDqHNl 143387 +w7xuYw== 143388 +w7xuY8O8 143389 +INC00LDQvdC90L7Qs9C+ 143390 +IEJlbGdp 143391 +IEJlbGdpw6s= 143392 +INeR15HXpw== 143393 +INeR15HXp9ep15Q= 143394 +4Lii4LmI4Liy4LiZ 143395 +IHNvbHXDp8Ojbw== 143396 +INeU16bXmNeo 143397 +INeU16bXmNeo16TXlQ== 143398 +INij2YbYrQ== 143399 +INij2YbYrdin2KE= 143400 +INiv2YXYtA== 143401 +INiv2YXYtNmC 143402 +4Lih4Lix4LmJ 143403 +4Lih4Lix4LmJ4Lii 143404 +2YXYutix2Kg= 143405 +2KfYs9iq2LnZhdin2YQ= 143406 +IFPFgm93 143407 +IOuPmeyLnA== 143408 +IOuPmeyLnOyXkA== 143409 +INGB0L7RgQ== 143410 +INGB0L7RgdC10LQ= 143411 +7LKt7IaM 143412 +7LKt7IaM64WE 143413 +INCz0YDQsNGE 143414 +INCz0YDQsNGE0LjQug== 143415 +IOyekeydgA== 143416 +IHlldGk= 143417 +IHlldGnFn3Rpcg== 143418 +IOydtOqyg+ydtA== 143419 +4Lir4LmI4Liy4LiH 143420 +2KXZhdmD2KfZhg== 143421 +2KXZhdmD2KfZhtmK2Kk= 143422 +2KfYs9iq2LnYsdin2LY= 143423 +2YXYrtiv2LE= 143424 +INGH0YPRgtGM 143425 +2YXYr9mK2LE= 143426 +2YXYr9mK2LHZitip 143427 +IOC5gOC4oeC4qQ== 143428 +IOC5gOC4oeC4qeC4suC4ouC4mQ== 143429 +INC80LXRhQ== 143430 +INC80LXRhdCw0L3QuNC3 143431 +INC80LXRhdCw0L3QuNC30Lw= 143432 +INGB0YPQvA== 143433 +INGB0YPQvNC80YM= 143434 +IHbDtg== 143435 +IHbDtmxs 143436 +IHbDtmxsaWc= 143437 +INC00YDRg9C3 143438 +INC00YDRg9C30YzRjw== 143439 +44KS5Yip55So44GX44Gm 143440 +4Lia4Lij4Lij4LiI4Li4 143441 +cG/FvHljeg== 143442 +157Xqdeb 143443 +157Xqdeb16DXqg== 143444 +157Xqdeb16DXqteQ 143445 +IGV1cm9ww6llbg== 143446 +IHByb3ByacOp 143447 +IHByb3ByacOpdGFpcmU= 143448 +IGto4bqldQ== 143449 +44GE44Gf44Gg44GR44KL 143450 +IHRlY3LDvA== 143451 +IHRlY3LDvGJl 143452 +15TXkQ== 143453 +15TXkdeg15Q= 143454 +IGN1zA== 143455 +IGN1zIk= 143456 +IGN1zIlh 143457 +15DXldeV 143458 +15DXldeV15nXqNeU 143459 +INeb15XXnNeV 143460 +VWx1cw== 143461 +VWx1c2xhcmFyYXPEsQ== 143462 +INeg15XXqg== 143463 +INeg15XXqtef 143464 +44Gr5ZCR 143465 +44Gr5ZCR44GR44Gm 143466 +67mb 143467 +4LiX4Lix4LiB4Lip 143468 +4LiX4Lix4LiB4Lip4Liw 143469 +2LPZgtmI 143470 +2LPZgtmI2Lc= 143471 +INCy0L0= 143472 +INCy0L3QtdGI 143473 +INCy0L3QtdGI0L3QtQ== 143474 +IHVyeg== 143475 +IHVyesSZZA== 143476 +IMOhbWI= 143477 +IMOhbWJpdG8= 143478 +4Lit4LiY4Li0 143479 +4Lit4LiY4Li04Lia4Liy4Lii 143480 +IMWCYWQ= 143481 +IMWCYWRu 143482 +6rG07LaV 143483 +d8OzZHp0 143484 +d8OzZHp0dw== 143485 +IHF1ZXN0w7Vlcw== 143486 +INep16c= 143487 +INep16fXmdeR15w= 143488 +IG1pZWpzY293b8WbY2k= 143489 +INCy0LDQuw== 143490 +INCy0LDQu9GO0YI= 143491 +aMOkdXNlcg== 143492 +4Lir4LiZ4Lit4LiH 143493 +44Go5YWx 143494 +44Go5YWx44Gr 143495 +44OP44O844OJ 143496 +IOqwnOy1nA== 143497 +INC+0YHQvdC+0LLQvdC+0Lw= 143498 +INC80Y/RgQ== 143499 +2KfYudiq 143500 +2KfYudiq2YLYp9mE 143501 +4Liq4LiW4Li0 143502 +4Liq4LiW4Li04LiV4Li0 143503 +Tmd1 143504 +Tmd14buTbg== 143505 +INmF2KzZhA== 143506 +INmF2KzZhNip 143507 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+INGA0LDRgdGB0LrQsNC30YvQstCw 143632 +2KPZhNmI 143633 +2KPZhNmI2KfZhg== 143634 +5oyB44Gj44Gm 143635 +5oyB44Gj44Gm44GE 143636 +2YXYqNin2K/Ypg== 143637 +15TXoteR16g= 143638 +15TXoteR16jXqg== 143639 +IHlhecSx 143640 +IHlhecSxbWw= 143641 +IHlhecSxbWxh 143642 +bcOhdA== 143643 +bcOhdGljb3M= 143644 +4LiB4Lix4LiH 143645 +4LiB4Lix4LiH4Lin4Lil 143646 +INec16TXqg== 143647 +INec16TXqteV15c= 143648 +4Lie4Lik4LiV4Li0 143649 +4Lie4Lik4LiV4Li04LiB4Lij4Lij4Lih 143650 +7YKs 143651 +INC+0LrRgNGD0LM= 143652 +INee16bXldeV15Q= 143653 +0JvQtdC90Lg= 143654 +0JvQtdC90LjQvQ== 143655 +IFRyaeG7gXU= 143656 +44Kz44Of44Ol 143657 +44Kz44Of44Ol44OL 143658 +44Kz44Of44Ol44OL44Kx 143659 +44Kz44Of44Ol44OL44Kx44O844K344On44Oz 143660 +2YPZhtmK 143661 +2YPZhtmK2LPYqQ== 143662 +44KS5Lit5b+D 143663 +44KS5Lit5b+D44Gr 143664 +IG1pxJlkeg== 143665 +IG1pxJlkenlu 143666 +IG1pxJlkenluYXI= 143667 +IG1pxJlkenluYXJvZA== 143668 +IG1pxJlkenluYXJvZG93 143669 +2YTZhg== 143670 +2YTZhtiv2Kc= 143671 +2KjYsdi0 143672 +2KjYsdi02YTZiNmG 143673 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+4Liq4Lil4LmH 143716 +4Liq4Lil4LmH4Lit 143717 +4Liq4Lil4LmH4Lit4LiV 143718 +66Gv 143719 +IHRow7Np 143720 +Z3LDtsOfZQ== 143721 +IGtzacSZ 143722 +IGtzacSZZw== 143723 +INGA0L7QvA== 143724 +INGA0L7QvNCw0L0= 143725 +2YLYp9iz2YU= 143726 +157XkdeV15I= 143727 +157XkdeV15LXqNeZ150= 143728 +YmVzY2g= 143729 +YmVzY2jDpGZ0 143730 +YmVzY2jDpGZ0aWc= 143731 +15TXptei15Q= 143732 +IMOBcmVh 143733 +INC30LDRj9Cy0Lo= 143734 +xLk= 143735 +INC70Y7QsdC+0LPQvg== 143736 +IOC4oQ== 143737 +IOC4oeC4geC4ow== 143738 +IOC4oeC4geC4o+C4suC4hOC4oQ== 143739 +0YTQuNC3 143740 +0YTQuNC30LjRh9C10YHQug== 143741 +0LjQvdGE 143742 +0LjQvdGE0LXQug== 143743 +0LjQvdGE0LXQutGG0Lg= 143744 +2KfZhNi3 143745 +2KfZhNi32KfYptmB 143746 +INC60L7Qu9C7 143747 +INC60L7Qu9C70LXQutGC0LjQsg== 143748 +0LXQt9C20LA= 143749 +INiz2KjYrQ== 143750 +INiz2KjYrdin2YY= 143751 +INiz2KjYrdin2YbZhw== 143752 +c2NobMOk 143753 +c2NobMOkZ2U= 143754 +INC00Lg= 143755 +INC00LjQsNCz 143756 +INC00LjQsNCz0L3QvtGB0YI= 143757 +INC+0YLQvNC10YLQuNGC0Yw= 143758 +0KLQrA== 143759 +INin2YTYr9ix 143760 +INin2YTYr9ix2KfYs9mK 143761 +16LXptee 143762 +16LXptee15DXldeq 143763 +IGTDqW1hcmNo 143764 +IGTDqW1hcmNoZQ== 143765 +INeY15XXog== 143766 +INeY15XXotef 143767 +IGZ1bmNpb27DoXJpb3M= 143768 +4bu1 143769 +15zXm9eQ 143770 +15zXm9eQ15XXqNeU 143771 +4LiL4LmI 143772 +4LiL4LmI4Lit4Lih 143773 +INGH0YPQsg== 143774 +INGH0YPQstGB0YLQstC+ 143775 +4pa8 143776 +0L/Rg9GJ 143777 +0L/Rg9GJ0LXQvQ== 143778 +INC80LXRgA== 143779 +INC80LXRgNC+0L8= 143780 +INC80LXRgNC+0L/RgNC4 143781 +INC80LXRgNC+0L/RgNC40Y/RgtC40Y8= 143782 +IHXDp3U= 143783 +IHXDp3XFnw== 143784 +44KS5Yip55So44GZ44KL 143785 +YcSf 143786 +YcSfbMSx 143787 +7JiI7Iig 143788 +4LmB4Lii4LmI 143789 +INin2YTZg9mF 143790 +INin2YTZg9mF2KjZig== 143791 +INin2YTZg9mF2KjZitmI2KrYsQ== 143792 +2KrZiNmK 143793 +2KrZiNmK2KrYsQ== 143794 +4LmA4LiK4Li14LmI4Lii4Lin 143795 +4LmA4LiK4Li14LmI4Lii4Lin4LiK4Liy 143796 +4LmA4LiK4Li14LmI4Lii4Lin4LiK4Liy4LiN 143797 +4buU 143798 +IGhp4bq/bQ== 143799 +2LDYp9mD2LHYqQ== 143800 +INeU157XmdeV15fXkw== 143801 +IOyInA== 143802 +IOyInOqwhA== 143803 +IEvEsQ== 143804 +IEvEsXNh 143805 +IGdlbGVjZcSfaQ== 143806 +0L/RgNC+0YTQtdGB0YHQuNC+0L3QsA== 143807 +0L/RgNC+0YTQtdGB0YHQuNC+0L3QsNC7 143808 +IG9nw7M= 143809 +IG9nw7NsZQ== 143810 +IGfFgsOzdw== 143811 +IGfFgsOzd25l 143812 +INGB0YLQuNC70Yw= 143813 +15DXpNec 143814 +15DXpNec15nXpw== 143815 +15DXpNec15nXp9em15nXlA== 143816 +4Liq4Lih4Liy4Lij4LmM 143817 +4Liq4Lih4Liy4Lij4LmM4LiX 143818 +4Liq4Lih4Liy4Lij4LmM4LiX4LmC4Lif 143819 +4Liq4Lih4Liy4Lij4LmM4LiX4LmC4Lif4LiZ 143820 +IHRow6FuaA== 143821 +0J/QvtC0 143822 +0J/QvtC00YDQvtCx 143823 +0J/QvtC00YDQvtCx0L3QtdC1 143824 +INin2YTYqtmI2YY= 143825 +INin2YTYqtmI2YbYs9mK 143826 +IGJhaMOnZQ== 143827 +4LmB4LiB4LmJ4Lib4Lix4LiN4Lir4Liy 143828 +w6lkdWNhdGlvbg== 143829 +ZXVyb3A= 143830 +ZXVyb3DDpA== 143831 +ZXVyb3DDpGlzY2hl 143832 +IEtzaQ== 143833 +IEtzacSZ 143834 +IOuEmA== 143835 +IOuEmOyWtA== 143836 +IHbDvGM= 143837 +IHbDvGN1ZA== 143838 +IHlheWc= 143839 +IHlheWfEsW4= 143840 +IG5pZWt0 143841 +IG5pZWt0w7NyeQ== 143842 +IG5pZWt0w7NyeWNo 143843 +44Gt44GH 143844 +INC60LDQtg== 143845 +INC60LDQttC10YLRgdGP 143846 +0LrQsNC2 143847 +0LrQsNC20LXRgg== 143848 +INin2YTYr9mK2YXZgtix2Kc= 143849 +INin2YTYr9mK2YXZgtix2KfYtw== 143850 +INin2YTYr9mK2YXZgtix2KfYt9mK2Kk= 143851 +5q2p 143852 +5q2p44GE44Gm 143853 +IHZheg== 143854 +IHZhemdl 143855 +IHZhemdlw6c= 143856 +INC80LjQvdC40LzQsNC70Yw= 143857 +INC80LjQvdC40LzQsNC70YzQvQ== 143858 +44OR44K/ 143859 +44OR44K/44O844Oz 143860 +IOuK 143861 +IOuKkA== 143862 +IOuKkOuCjA== 143863 +44Gh44KH44GG 143864 +44Gh44KH44GG44Gp 143865 +IOC4geC4ow== 143866 +IOC4geC4o+C4geC4jg== 143867 +IOC4geC4o+C4geC4juC4suC4hOC4oQ== 143868 +2KrYrNiv2YrYrw== 143869 +INi02KfZhdmE 143870 +4Lir4Lil4Lix4LiB4LiQ4Liy4LiZ 143871 +INC80LDRgNGI 143872 +INC80LDRgNGI0YDRg9GC 143873 +IHbDrXQ= 143874 +IHbDrXRpbWE= 143875 +IHF1aXrDoQ== 143876 +YXlnxLE= 143877 +15PXkdeo15nXlQ== 143878 +INC40LfQtA== 143879 +INC40LfQtNC10LvQuA== 143880 +INC40LfQtNC10LvQuNGP 143881 +0L/Qu9Cw 143882 +0L/Qu9Cw0Yc= 143883 +0L/Qu9Cw0YfQuNCy0LA= 143884 +5Lu744Gb 143885 +IMOpcXVpcMOp 143886 +5LmF44GX44E= 143887 +5LmF44GX44G2 143888 +5LmF44GX44G244KK 143889 +INC60LDRgg== 143890 +INC60LDRgtCw0Ls= 143891 +INC60LDRgtCw0LvQvtCz 143892 +4Liq4LmJ4Lih 143893 +INGA0LXQuQ== 143894 +INGA0LXQudGC 143895 +INGA0LXQudGC0LjQvdCz 143896 +IHRodXnhu4Fu 143897 +INin2YTZhdmC2K/Ysw== 143898 +ZXNww6hyZQ== 143899 +44Gr5YWl44Gj44Gf 143900 +4Lir4Lih4Liy4Lii4LmA4Lil4LiC 143901 +16rXl9eV16nXqg== 143902 +4LiZ4LmI4Liw 143903 +IHBlxYI= 143904 +IHBlxYJuZQ== 143905 +IHDDqXJk 143906 +IHDDqXJkaWRh 143907 +4Lir4Lih4Lin4LiU 143908 +4Lir4Lih4Lin4LiU4Lir4Lih4Li54LmI 143909 +0LjRh9C10YHQutGD0Y4= 143910 +57WC44KP 143911 +57WC44KP44Gj44Gf 143912 +INeS15XXktec 143913 +4LiX4Liz4LiE4Lin4Liy4Lih 143914 +4LiX4Liz4LiE4Lin4Liy4Lih4Liq4Liw4Lit4Liy4LiU 143915 +SG90w6lpcw== 143916 +INC30LDRgA== 143917 +INC30LDRgNC10LPQuNGB0YI= 143918 +INC30LDRgNC10LPQuNGB0YLRgNC4 143919 +INC30LDRgNC10LPQuNGB0YLRgNC40YDQvtCy0LA= 143920 +INGB0L7QsdGL0YLQuA== 143921 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+INC90LDQs9GA0YPQt9C6 143962 +INeR15nXoNec15DXldee15k= 143963 +IOqwgOuKpe2VnA== 143964 +IEjhu691 143965 +4Lit4Li44LiU 143966 +4Lit4Li44LiU4Lih 143967 +16rXldek 143968 +16rXldek16LXlA== 143969 +IG1pxYJv 143970 +IG1pxYJvxZtjaQ== 143971 +a3NpxIXFvA== 143972 +a3NpxIXFvGth 143973 +INin2YTZhNi52KjYqQ== 143974 +4LiJ4Liy4LiB 143975 +4Liq4Liw4Liq4Lih 143976 +157Xqteo 143977 +157Xqteo15fXqQ== 143978 +IGzDqWfDqHJl 143979 +INec16bXpA== 143980 +INec16bXpNeZ15Q= 143981 +INC40YHRgtC+0YDQuNGP 143982 +IOODiOODqQ== 143983 +IOODiOODqeODg+OCrw== 143984 +IOODiOODqeODg+OCr+ODkOODg+OCrw== 143985 +INC60LA= 143986 +INC60LDRhNC1 143987 +157Xodee15o= 143988 +IGPDvG0= 143989 +IGPDvG1sZQ== 143990 +4LmA4LiE4Lil4Li34LmI4Lit4LiZ4LmE4Lir4Lin 143991 +44GK44Gd 143992 +44GK44Gd44KJ44GP 143993 +7J6Q64+Z 143994 +7J6Q64+Z7LCo 143995 +4Lit4Lix4LiV 143996 +4Lit4Lix4LiV4LmC4LiZ 143997 +4Lit4Lix4LiV4LmC4LiZ4Lih4Lix 143998 +4Lit4Lix4LiV4LmC4LiZ4Lih4Lix4LiV4Li0 143999 +IMWfaWs= 144000 +IMWfaWtheQ== 144001 +IMWfaWtheWV0 144002 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144078 +7LaY 144079 +67KX 144080 +66m4 144081 +77y7 144082 +77y9 144083 +77y3 144084 +7LCM 144085 +w5I= 144086 +7Y+0 144087 +7JO4 144088 +7LSM 144089 +64GU 144090 +65Sp 144091 +64eM 144092 +66mA 144093 +67Ko 144094 +77y1 144095 +66eh 144096 +64ur 144097 +4Li/ 144098 +44Gx 144099 +7Ie8 144100 +7Lqg 144101 +666k 144102 +6rGx 144103 +7Lus 144104 +4oSD 144105 +65Sx 144106 +64OI 144107 +7Iux 144108 +7ZmI 144109 +656Q 144110 +7IWA 144111 +7KCg 144112 +0IY= 144113 +66CJ 144114 +772F 144115 +772P 144116 +7ZmA 144117 +65uw 144118 +4buu 144119 +7YK5 144120 +6r2D 144121 +77uk 144122 +77qU 144123 +6rq8 144124 +7JWJ 144125 +4pmm 144126 +772B 144127 +7JO0 144128 +44CJ 144129 +7LCu 144130 +7KSY 144131 +4buq 144132 +64GE 144133 +65Co 144134 +7JWM 144135 +7Z2Y 144136 +7YWQ 144137 +44CI 144138 +6rKq 144139 +64ul 144140 +6rK8 144141 +4buM 144142 +66eo 144143 +64GK 144144 +67Kk 144145 +65GU 144146 +7Z2h 144147 +4bus 144148 +66yY 144149 +44GJ 144150 +656r 144151 +7ZSI 144152 +7YWN 144153 +7J6D 144154 +772J 144155 +7IGc 144156 +4pa9 144157 +66y7 144158 +4paz 144159 +77y4 144160 +7IGY 144161 +7Law 144162 +7Iq0 144163 +7JWx 144164 +7IeE 144165 +4bqu 144166 +77S/ 144167 +77S+ 144168 +4oK9 144169 +64ST 144170 +66Op 144171 +7LOk 144172 +6rSc 144173 +w5k= 144174 +4buc 144175 +77+j 144176 +65Ot 144177 +66mY 144178 +6ru0 144179 +66C0 144180 +0IM= 144181 +66y1 144182 +7Ked 144183 +44G6 144184 +8J+Ygg== 144185 +656s 144186 +7KCK 144187 +6rSE 144188 +7J6K 144189 +7Z6M 144190 +7ISv 144191 +4oiA 144192 +4pah 144193 +64CM 144194 +656Z 144195 +772D 144196 +4bq2 144197 +776E 144198 +77qY 144199 +67m8 144200 +w4w= 144201 +4pa3 144202 +6riN 144203 +66mL 144204 +44GD 144205 +7JiG 144206 +7Jiu 144207 +66qs 144208 +66Gk 144209 +66Cs 144210 +64qm 144211 +4paq 144212 +7LyT 144213 +7JyI 144214 +7Ken 144215 +7729 144216 +64OJ 144217 +776M 144218 +65iQ 144219 +77yD 144220 +4buE 144221 +7LSs 144222 +7Lak 144223 +77y5 144224 +77ut 144225 +4oKr 144226 +772H 144227 +7Ji3 144228 +65ao 144229 +4omr 144230 +66a/ 144231 +4pyo 144232 +2bE= 144233 +7K+k 144234 +6rmU 144235 +8J+Yig== 144236 +7Iir 144237 +6rOx 144238 +6rWz 144239 +772L 144240 +4LiM 144241 +xKA= 144242 +65S4 144243 +67CR 144244 +7IWL 144245 +7Y60 144246 +4pyF 144247 +7YOR 144248 +64iH 144249 +7Y+8 144250 +8J+YjQ== 144251 +7Jib 144252 +77uj 144253 +0Zg= 144254 +7KmM 144255 +66aF 144256 +7J2N 144257 +7724 144258 +642c 144259 +44GF 144260 +7Y68 144261 +64ud 144262 +67+M 144263 +7Lyw 144264 +7Iur 144265 +67Cl 144266 +7ZuM 144267 +7KiM 144268 +67mZ 144269 +772O 144270 +67SE 144271 +7IS5 144272 +772y 144273 +7IyT 144274 +0pE= 144275 +67CN 144276 +66CA 144277 +7Yak 144278 +772v 144279 +66SE 144280 +6r2k 144281 +772S 144282 +7JWo 144283 +7728 144284 +6rmQ 144285 +7YGQ 144286 +4oSW 144287 +66e6 144288 +77qu 144289 +64WB 144290 +6rK4 144291 +77ug 144292 +7Yqc 144293 +xbk= 144294 +66Wt 144295 +64iJ 144296 +772U 144297 +7Yys 144298 +7J6H 144299 +76yB 144300 +77uo 144301 +65Gl 144302 +656E 144303 +2aw= 144304 +7Yu0 144305 +7J6J 144306 +2r4= 144307 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144612 +772s 144613 +77ul 144614 +7Yy9 144615 +4oCS 144616 +7IyA 144617 +7K2J 144618 +65qx 144619 +44Ke 144620 +7YuI 144621 +44KQ 144622 +64mY 144623 +zqM= 144624 +6rOw 144625 +67mX 144626 +776O 144627 +8J+YrQ== 144628 +7Z2g 144629 +7Je/ 144630 +6rCa 144631 +7KSM 144632 +66e1 144633 +772z 144634 +44Gi 144635 +77uX 144636 +4omm 144637 +2qQ= 144638 +66CB 144639 +6ry9 144640 +77ur 144641 +4omn 144642 +7LSb 144643 +7KCd 144644 +4bqw 144645 +4pmj 144646 +7LqY 144647 +4oiH 144648 +6rKJ 144649 +67Cf 144650 +77uU 144651 +7ZaH 144652 +4paS 144653 +8J+Rjw== 144654 +w54= 144655 +8J+Yhg== 144656 +77q8 144657 +4p2X 144658 +7LqU 144659 +7Lmp 144660 +65ak 144661 +64OF 144662 +4pSc 144663 +7727 144664 +zpQ= 144665 +4YOm 144666 +7J6O 144667 +4piA 144668 +4oi8 144669 +8J+UpQ== 144670 +67CM 144671 +7KCW 144672 +7Zeb 144673 +zpU= 144674 +77qD 144675 +67aJ 144676 +4oie 144677 +7YOt 144678 +w4s= 144679 +4oGE 144680 +44WH 144681 +64Sl 144682 +64uu 144683 +66C3 144684 +7Yyd 144685 +7Lqh 144686 +67eU 144687 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144838 +w4Y= 144839 +7ZeQ 144840 +8J+OiQ== 144841 +zpE= 144842 +772t 144843 +8J+SmQ== 144844 +7Jus 144845 +7YCY 144846 +77ui 144847 +8J+Yjg== 144848 +7ZG8 144849 +7Z2p 144850 +77uE 144851 +7YWA 144852 +66CQ 144853 +7KWs 144854 +0Is= 144855 +7IO3 144856 +65ys 144857 +8J+Ygw== 144858 +64Ss 144859 +66Wo 144860 +7JuN 144861 +772G 144862 +7720 144863 +44OF 144864 +w48= 144865 +77uq 144866 +4pmg 144867 +64qs 144868 +67GA 144869 +67CL 144870 +7IOA 144871 +772+ 144872 +64Kx 144873 +7Lu4 144874 +8J+Slg== 144875 +8J+RjA== 144876 +0Z4= 144877 +7Kex 144878 +y4Y= 144879 +8J+Tmg== 144880 +4q2V 144881 +76yC 144882 +77uh 144883 +65Gs 144884 +7Yi8 144885 +4pa4 144886 +6rCv 144887 +6rmF 144888 +772u 144889 +65il 144890 +xKE= 144891 +7Yyf 144892 +0Iw= 144893 +7Iaf 144894 +77qT 144895 +77u8 144896 +w5s= 144897 +44O+ 144898 +64yT 144899 +7ZKL 144900 +7JWT 144901 +7725 144902 +64Kh 144903 +8J+Rhw== 144904 +4bq8 144905 +44Cf 144906 +8J+Mnw== 144907 +7YOg 144908 +44CG 144909 +4oCf 144910 +67iQ 144911 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144986 +642f 144987 +4LmF 144988 +6rW2 144989 +2as= 144990 +7JSB 144991 +4pyq 144992 +776I 144993 +8J+ZjA== 144994 +4pqh 144995 +zpo= 144996 +7LyI 144997 +776U 144998 +776C 144999 +6rWJ 145000 +77q7 145001 +8J+Siw== 145002 +4bmj 145003 +05k= 145004 +7Iac 145005 +7Jej 145006 +4pyp 145007 +7JyZ 145008 +77qw 145009 +4bqy 145010 +7J6j 145011 +4p2M 145012 +4piB 145013 +7JWO 145014 +xL0= 145015 +24E= 145016 +44Sx 145017 +65+/ 145018 +7Yy4 145019 +6r2J 145020 +7I+g 145021 +8J+NgA== 145022 +4oaU 145023 +662h 145024 +77uB 145025 +77yE 145026 +8J+SpQ== 145027 +4pib 145028 +7Ze3 145029 +65Gh 145030 +zqA= 145031 +zqQ= 145032 +4oST 145033 +77q3 145034 +zpk= 145035 +64+U 145036 +7Kek 145037 +4pSD 145038 +44S3 145039 +x5I= 145040 +8J+lsA== 145041 +65SV 145042 +7Jql 145043 +7LiE 145044 +7ZuU 145045 +77qH 145046 +77qs 145047 +8J+Yog== 145048 +67mh 145049 +7JS5 145050 +xbM= 145051 +y50= 145052 +7Y6R 145053 +776T 145054 +8J+Smg== 145055 +64qR 145056 +6rq+ 145057 +7Yaw 145058 +w78= 145059 +0IQ= 145060 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145134 +7YCA 145135 +6r6A 145136 +7Zed 145137 +4pSj 145138 +446c 145139 +65Sb 145140 +65y4 145141 +77qr 145142 +6r+w 145143 +8J+HuQ== 145144 +x5A= 145145 +25I= 145146 +66O7 145147 +77qW 145148 +0Zo= 145149 +64qg 145150 +25U= 145151 +6rmh 145152 +67+c 145153 +7LK8 145154 +76iR 145155 +66W1 145156 +7I24 145157 +7YWF 145158 +7ZG5 145159 +1oA= 145160 +77OM 145161 +44Wj 145162 +7JGk 145163 +7L2V 145164 +65Wg 145165 +8J+Mvw== 145166 +7YOU 145167 +7JuB 145168 +zrY= 145169 +4p6c 145170 +7IqY 145171 +7ZuX 145172 +66mn 145173 +7ImY 145174 +1bY= 145175 +4bmH 145176 +8J+OgQ== 145177 +772/ 145178 +77yC 145179 +4byQ 145180 +4pyV 145181 +4p6i 145182 +64So 145183 +7Lur 145184 +7K+U 145185 +7LCc 145186 +8J+SsA== 145187 +7YWd 145188 +446P 145189 +67O2 145190 +0pM= 145191 +4oaz 145192 +7IO0 145193 +7YGY 145194 +4paA 145195 +67KZ 145196 +4LiD 145197 +4b22 145198 +xJU= 145199 +4qyH 145200 +66SY 145201 +8J+OtQ== 145202 +4pya 145203 +77qP 145204 +zqE= 145205 +4peJ 145206 +8J+Sqw== 145207 +0Ig= 145208 +7JaE 145209 +7KeZ 145210 +77uD 145211 +8J2Rkg== 145212 +662E 145213 +4p2l 145214 +4p2W 145215 +4pid 145216 +yrk= 145217 +4bil 145218 +4oC/ 145219 +44WF 145220 +6riB 145221 +65Wh 145222 +642l 145223 +4oip 145224 +6ruE 145225 +666M 145226 +0rE= 145227 +4oiX 145228 +66CZ 145229 +77qM 145230 +y5A= 145231 +8J+Ysw== 145232 +8J+RqQ== 145233 +8J+Otg== 145234 +7L+1 145235 +8J+kqQ== 145236 +6rek 145237 +64yU 145238 +77qQ 145239 +z44= 145240 +7Lal 145241 +772K 145242 +4bmt 145243 +66S8 145244 +4par 145245 +7Keg 145246 +4byA 145247 +6ruR 145248 +64yB 145249 +7YC4 145250 +4pmb 145251 +8J+Sng== 145252 +4paw 145253 +8J2Rlg== 145254 +652k 145255 +4KSm 145256 +7LSY 145257 +8J+Yhw== 145258 +65Sk 145259 +zpc= 145260 +8J+Zhw== 145261 +y5s= 145262 +7Kmh 145263 +4oin 145264 +1aU= 145265 +0Zk= 145266 +65Cs 145267 +65aE 145268 +8J+Mtw== 145269 +7JeM 145270 +8J+YpQ== 145271 +64i0 145272 +77ua 145273 +yZs= 145274 +77qE 145275 +77uP 145276 +xYw= 145277 +67Ka 145278 +7Iuj 145279 +77qA 145280 +zpM= 145281 +8J+YjA== 145282 +y5k= 145283 +656P 145284 +8J+UuA== 145285 +8J+Ttw== 145286 +64G9 145287 +7YG9 145288 +8J+SoQ== 145289 +8J+MsQ== 145290 +67qP 145291 +7IGg 145292 +7IOQ 145293 +64+X 145294 +7Liw 145295 +64iV 145296 +zp0= 145297 +4oGJ 145298 +8J+MvA== 145299 +7Yyg 145300 +4ouv 145301 +4YOY 145302 +4pyk 145303 +6rGU 145304 +7YyO 145305 +8J+Srw== 145306 +7I+Z 145307 +7ZeJ 145308 +2a0= 145309 +7L2w 145310 +77q/ 145311 +77ux 145312 +7LGM 145313 +4piV 145314 +8J+OgA== 145315 +xJ0= 145316 +67Cn 145317 +7IK/ 145318 +4ZGV 145319 +8J+Ngw== 145320 +4oeo 145321 +zps= 145322 +66e0 145323 +67OV 145324 +4ZGQ 145325 +4paT 145326 +8J2RnA== 145327 +4pm7 145328 +7YKl 145329 +1bg= 145330 +44ix 145331 +67qA 145332 +7LK4 145333 +77qb 145334 +8J+Phg== 145335 +8J+Hqg== 145336 +4p2T 145337 +xIA= 145338 +7L2l 145339 +8J+Hpw== 145340 +4b23 145341 +4pyC 145342 +7J68 145343 +76eh 145344 +8J+TuA== 145345 +4pmv 145346 +yZQ= 145347 +4b24 145348 +4oyq 145349 +77uW 145350 +76Wn 145351 +4pqr 145352 +4pSX 145353 +8J+MiA== 145354 +77up 145355 +8J+Tsg== 145356 +z4g= 145357 +8J+YoQ== 145358 +8J2Rjg== 145359 +7Jy9 145360 +7Kes 145361 +7KeK 145362 +4b2z 145363 +7Iyk 145364 +64KN 145365 +4omS 145366 +8J+RqA== 145367 +4piY 145368 +06k= 145369 +4oKT 145370 +4oiC 145371 +77mB 145372 +8J+SkA== 145373 +7YWD 145374 +8J+PvQ== 145375 +6reE 145376 +8J+Yjw== 145377 +8J+Mug== 145378 +8J+YlA== 145379 +772r 145380 +4pyO 145381 +67WI 145382 +8J+HuA== 145383 +4oCj 145384 +4p6U 145385 +65iY 145386 +7IOs 145387 +yoM= 145388 +4qyF 145389 +7KmQ 145390 +8J+Zhg== 145391 +8J+OhA== 145392 +xL4= 145393 +4p+2 145394 +4YOQ 145395 +4pi7 145396 +7LGV 145397 +7IGp 145398 +672V 145399 +7Lqj 145400 +8J+RiA== 145401 +8J+Ziw== 145402 +776W 145403 +0po= 145404 +1as= 145405 +7IyI 145406 +67Kn 145407 +8J+Hrg== 145408 +772d 145409 +8J+NgQ== 145410 +7Jel 145411 +xLM= 145412 +672Q 145413 +7Y29 145414 +7ZuR 145415 +4oK5 145416 +44WB 145417 +7JS9 145418 +8J+UgQ== 145419 +4KSv 145420 +6r65 145421 +64mc 145422 +4peh 145423 +7ZWM 145424 +zpg= 145425 +66O5 145426 +7JmT 145427 +8J+Hpg== 145428 +8J+RgA== 145429 +4pSM 145430 +4b+m 145431 +64Sb 145432 +7ISj 145433 +7K2Z 145434 +77Gg 145435 +zp4= 145436 +yrs= 145437 +4b+2 145438 +4p2d 145439 +6rGA 145440 +65a0 145441 +44S5 145442 +8J+Sjg== 145443 +z7k= 145444 +4puF 145445 +77uV 145446 +44Ox 145447 +772b 145448 +64yV 145449 +67m9 145450 +7KWU 145451 +7L+k 145452 +8J+WpA== 145453 +0ZI= 145454 +6rmN 145455 +646A 145456 +7Iuv 145457 +67uk 145458 +8J+Tng== 145459 +8J+Tow== 145460 +8J+YnQ== 145461 +7I25 145462 +7Jeh 145463 +7LCQ 145464 +4b2Q 145465 +77uI 145466 +4pyN 145467 +xI8= 145468 +8J+Mng== 145469 +4oSm 145470 +6r2d 145471 +67uY 145472 +7Iix 145473 +4pSY 145474 +8J+Muw== 145475 +4oK0 145476 +4p6o 145477 +7ZCB 145478 +6raI 145479 +4pii 145480 +8J+YiA== 145481 +772p 145482 +4oSX 145483 +6rCt 145484 +6rC4 145485 +67uR 145486 +7KW0 145487 +7Lul 145488 +76SK 145489 +77uS 145490 +8J+YlQ== 145491 +4piU 145492 +7JiQ 145493 +8J+alw== 145494 +65eE 145495 +66eP 145496 +1b0= 145497 +4pa7 145498 +4p+1 145499 +7Imw 145500 +77uR 145501 +4pmp 145502 +zqU= 145503 +8J+Yow== 145504 +4oqC 145505 +44WC 145506 +7IW4 145507 +7Y+E 145508 +4py9 145509 +7KaZ 145510 +4paj 145511 +6rGN 145512 +6r+L 145513 +7KuE 145514 +7LqH 145515 +8J+HtQ== 145516 +8J+RkQ== 145517 +4pyY 145518 +8J2Rmw== 145519 +7I29 145520 +7LqJ 145521 +76y1 145522 +8J+Uug== 145523 +4oSu 145524 +7YOk 145525 +8J+Hug== 145526 +8J+StQ== 145527 +7YWo 145528 +772R 145529 +zqg= 145530 +7IO5 145531 +7JaV 145532 +7Lm1 145533 +8J+TsQ== 145534 +4KS1 145535 +8J+Rig== 145536 +8J+ShA== 145537 +8J+SnQ== 145538 +44yU 145539 +7JmB 145540 +0Ic= 145541 +4K6Q 145542 +4pa5 145543 +4bSb 145544 +4peY 145545 +67qo 145546 +7YOJ 145547 +7JaM 145548 +8J+Qtg== 145549 +44KR 145550 +y4c= 145551 +xY8= 145552 +4b25 145553 +7IWn 145554 +77mw 145555 +8J2RoQ== 145556 +8J+UnQ== 145557 +8J+Yuw== 145558 +8J+Sgw== 145559 +8J+kpg== 145560 +8J+Nkg== 145561 +7YC1 145562 +4pyG 145563 +67m0 145564 +76ek 145565 +77uZ 145566 +4bSX 145567 +8J+MtA== 145568 +zb4= 145569 +64yR 145570 +7KiL 145571 +7LW4 145572 +8J+OiA== 145573 +8J+PoA== 145574 +4b2x 145575 +24Y= 145576 +4b+W 145577 +4oCb 145578 +7LC8 145579 +7ZWl 145580 +7Ze0 145581 +8J+HrA== 145582 +7LCd 145583 +4oig 145584 +77yH 145585 +4oqZ 145586 +4p2R 145587 +64SL 145588 +656X 145589 +67CJ 145590 +7JeK 145591 +7KKG 145592 +7Yyl 145593 +77Cy 145594 +8J+Tlg== 145595 +8J+Yrg== 145596 +4pqq 145597 +8J+Ymg== 145598 +4p2e 145599 +8J2Rnw== 145600 +8J+Ogg== 145601 +xZU= 145602 +4ZCI 145603 +6rq9 145604 +7LGg 145605 +77qd 145606 +6r+J 145607 +4YOg 145608 +8J+Pgw== 145609 +8J+SuA== 145610 +4p2B 145611 +4pe+ 145612 +2qo= 145613 +4bmD 145614 +7Yqs 145615 +8J+HsQ== 145616 +7Y6t 145617 +8J+Yng== 145618 +676w 145619 +4bmb 145620 +65u4 145621 +4p2C 145622 +6pKz 145623 +4pSQ 145624 +7ZOw 145625 +4p6g 145626 +6rSY 145627 +64WY 145628 +67ul 145629 +7L6F 145630 +8J+YkA== 145631 +4oiq 145632 +8J+RgQ== 145633 +4oi0 145634 +4peB 145635 +67qQ 145636 +7J6k 145637 +7LGX 145638 +8J+Pvg== 145639 +zqc= 145640 +4b27 145641 +4p6l 145642 +7J+I 145643 +77uJ 145644 +4paM 145645 +44Ou 145646 +8J+kpA== 145647 +4oeT 145648 +7Lyg 145649 +4bSP 145650 +66es 145651 +67uj 145652 +8J+SrA== 145653 +8J+Nkw== 145654 +xLg= 145655 +2bk= 145656 +yr8= 145657 +4b2w 145658 +65Wc 145659 +7LCh 145660 +7LC7 145661 +7Y6N 145662 +8J+Orw== 145663 +8J+Ngg== 145664 +8J+Rpw== 145665 +4pmi 145666 +4Yae 145667 +4pmn 145668 +4pqc 145669 +4pyJ 145670 +65Om 145671 +662j 145672 +7IiP 145673 +7JOx 145674 +xa0= 145675 +yoo= 145676 +4pK4 145677 +4oep 145678 +8J+SlA== 145679 +1bU= 145680 +0Ik= 145681 +0rs= 145682 +66ej 145683 +7Juc 145684 +7L+h 145685 +7ZuF 145686 +7Zuk 145687 +77qi 145688 +4pyL 145689 +4oiI 145690 +8J+MjQ== 145691 +ypw= 145692 +64qq 145693 +65K5 145694 +77qy 145695 +4paE 145696 +44WI 145697 +65qk 145698 +7Y6p 145699 +4oio 145700 +8J+kqg== 145701 +4YOa 145702 +6rO2 145703 +7YqV 145704 +8J+YrA== 145705 +4oir 145706 +8J+Riw== 145707 +0pA= 145708 +7Yq/ 145709 +8J+UtQ== 145710 +8J+SqA== 145711 +8J+MmQ== 145712 +64ep 145713 +4pyz 145714 +66iB 145715 +67qE 145716 +7JmR 145717 +7LqF 145718 +7Y+I 145719 +8J2RmQ== 145720 +8J+SmA== 145721 +446l 145722 +4p2P 145723 +4pyw 145724 +76+/ 145725 +67WQ 145726 +7LyQ 145727 +77qx 145728 +1bQ= 145729 +76yA 145730 +4py0 145731 +8J+krQ== 145732 +8J+Rhg== 145733 +4puU 145734 +6reT 145735 +7IyM 145736 +8J+ktw== 145737 +25Q= 145738 +8J+noQ== 145739 +8J+Ykw== 145740 +zpY= 145741 +4o+w 145742 +6rKc 145743 +64uz 145744 +646F 145745 +67CI 145746 +766Q 145747 +8J+PoQ== 145748 +4oaq 145749 +4pOU 145750 +4pyK 145751 +z7I= 145752 +3JA= 145753 +8J+Hsw== 145754 +1oI= 145755 +4pyP 145756 +7JaX 145757 +7KuZ 145758 +8J+Ysg== 145759 +xK0= 145760 +4pmt 145761 +4pSP 145762 +4peM 145763 +8J+Yrw== 145764 +4bWS 145765 +7Yqg 145766 +xLc= 145767 +yoE= 145768 +4KSf 145769 +4bmB 145770 +4byw 145771 +4b+G 145772 +4qs= 145773 +4qu4 145774 +642r 145775 +7LOH 145776 +7Lyk 145777 +7Zuo 145778 +8J+Snw== 145779 +yoA= 145780 +yrM= 145781 +65OQ 145782 +4pWw 145783 +4p2H 145784 +x4A= 145785 +x5Q= 145786 +ybQ= 145787 +4pia 145788 +4pic 145789 +6raC 145790 +7KuS 145791 +7LGI 145792 +8J+HqA== 145793 +8J+OpQ== 145794 +8J+TnQ== 145795 +xKc= 145796 +8J2RkA== 145797 +24g= 145798 +4KSs 145799 +7KyQ 145800 +7Zel 145801 +4pmo 145802 +8J+NtA== 145803 +77mP 145804 +y4s= 145805 +8J+lug== 145806 +4pao 145807 +7ZmL 145808 +4oiF 145809 +64GZ 145810 +656g 145811 +7Ial 145812 +4oCW 145813 +8J+kmA== 145814 +8J+Quw== 145815 +4bWV 145816 +x50= 145817 +4piP 145818 +77qa 145819 +77uC 145820 +8J+aqQ== 145821 +7Iif 145822 +y4o= 145823 +4qS1 145824 +8J+Spw== 145825 +44WN 145826 +66mp 145827 +xqw= 145828 +zoc= 145829 +4oen 145830 +4pOa 145831 +7IKv 145832 +7Iiv 145833 +64aL 145834 +4pyv 145835 +8J+agA== 145836 +2pg= 145837 +2qg= 145838 +4pyt 145839 +6rKF 145840 +7Yyw 145841 +7ZyZ 145842 +8J+Mig== 145843 +8J+Okw== 145844 +8J+YmQ== 145845 +y4M= 145846 +8J+SgQ== 145847 +8J+Rjg== 145848 +4pi5 145849 +8J+Yqw== 145850 +8J+Suw== 145851 +64K1 145852 +7J2K 145853 +7Yy7 145854 +0rM= 145855 +4b2y 145856 +4p6e 145857 +64KR 145858 +652I 145859 +7KOk 145860 +77uv 145861 +8J+HqQ== 145862 +8J+lsw== 145863 +4pK8 145864 +8J+miw== 145865 +4piC 145866 +8J+YsA== 145867 +8J+Zgw== 145868 +8J+Ykg== 145869 +244= 145870 +z5U= 145871 +4bik 145872 +66O9 145873 +7Iql 145874 +8J2RiQ== 145875 +yZA= 145876 +8J+Njg== 145877 +4pWv 145878 +4pW5 145879 +4Lqy 145880 +776g 145881 +67mV 145882 +77qG 145883 +yro= 145884 +06c= 145885 +4oag 145886 +64OH 145887 +7I6I 145888 +7J+k 145889 +77Gi 145890 +4pWs 145891 +4pig 145892 +8J+Oig== 145893 +442N 145894 +446O 145895 +4piw 145896 +4pyD 145897 +44WJ 145898 +66+I 145899 +67mk 145900 +7I+t 145901 +8J2Rog== 145902 +8J+Qvg== 145903 +xYs= 145904 +8J+Rtg== 145905 +4pSb 145906 +77+i 145907 +4YOh 145908 +xLw= 145909 +xYY= 145910 +0ZA= 145911 +7IOb 145912 +7JiM 145913 +7LGk 145914 +7YWB 145915 +7ZqD 145916 +77OK 145917 +8J2RlA== 145918 +8J+Hqw== 145919 +4ouw 145920 +8J+YqA== 145921 +4oKp 145922 +1aw= 145923 +4biN 145924 +4bu0 145925 +4oaY 145926 +4piv 145927 +44WP 145928 +7KCs 145929 +4pmU 145930 +8J+UlA== 145931 +8J+YoA== 145932 +8J+Zig== 145933 +4K6c 145934 +4bmF 145935 +4peQ 145936 +4p2I 145937 +4p69 145938 +7IOF 145939 +8J2RoA== 145940 +xqI= 145941 +4ouZ 145942 +6rCb 145943 +6521 145944 +66Of 145945 +7I+c 145946 +77qB 145947 +8J+SrQ== 145948 +4oqD 145949 +8J+QsA== 145950 +44WM 145951 +3JM= 145952 +4p6V 145953 +4b2B 145954 +7JWz 145955 +8J2RnQ== 145956 +8J+OrA== 145957 +yaE= 145958 +4KSX 145959 +4ZCJ 145960 +7Kmc 145961 +7Lan 145962 +77OJ 145963 +77uF 145964 +8J2Qng== 145965 +4KS2 145966 +8J+Tog== 145967 +8J+Niw== 145968 +8J+ShQ== 145969 +776V 145970 +4qyG 145971 +4oi1 145972 +8J+kkQ== 145973 +4YOj 145974 +xoQ= 145975 +0bk= 145976 +4byU 145977 +6rCg 145978 +6rSM 145979 +6reQ 145980 +65u0 145981 +7LGY 145982 +766t 145983 +77q5 145984 +77q+ 145985 +4pyX 145986 +4p2m 145987 +8J+Rpg== 145988 +4YOX 145989 +2bI= 145990 +4b20 145991 +4oiP 145992 +4pyu 145993 +6rmw 145994 +67K1 145995 +7ISA 145996 +7Kmd 145997 +77qe 145998 +77q9 145999 +8J+HrQ== 146000 +y4I= 146001 +8J+NkQ== 146002 +8J+NjA== 146003 +8J+Uuw== 146004 +6rms 146005 +7Iqt 146006 +7Jy3 146007 +8J+bkQ== 146008 +x6c= 146009 +67yb 146010 +77qh 146011 +77q6 146012 +8J2Rmg== 146013 +8J+Tpg== 146014 +8J+Ujg== 146015 +8J+Xkw== 146016 +4YOU 146017 +4pyS 146018 +4pyh 146019 +8J+MtQ== 146020 +4pSV 146021 +64Cd 146022 +8J+Nig== 146023 +4piD 146024 +7JiF 146025 +4Kas 146026 +8J+mgQ== 146027 +4o6v 146028 +8J+QlQ== 146029 +0b8= 146030 +4KWk 146031 +4LyL 146032 +6reI 146033 +7KuM 146034 +8J+HsA== 146035 +4p2J 146036 +7KuA 146037 +7Z2E 146038 +8J2Qog== 146039 +8J+aqA== 146040 +4pmk 146041 +8J+YqQ== 146042 +8J+NjQ== 146043 +8J+YkQ== 146044 +8J+amg== 146045 +1oQ= 146046 +66s= 146047 +66u8 146048 +4KSP 146049 +4b+3 146050 +4oyp 146051 +4piQ 146052 +4p6j 146053 +6rix 146054 +6ry/ 146055 +64Sd 146056 +7I+0 146057 +7Jqk 146058 +7L+x 146059 +7Y6Q 146060 +8J+Sog== 146061 +7LSQ 146062 +4oeR 146063 +4pST 146064 +4oG+ 146065 +3J0= 146066 +8J+NsA== 146067 +4rSw 146068 +xo8= 146069 +z58= 146070 +2ro= 146071 +24M= 146072 +4YSS 146073 +4oif 146074 +4p2N 146075 +44Sy 146076 +7JyF 146077 +7KSP 146078 +8J+Hsg== 146079 +6rqE 146080 +8J+OpA== 146081 +4pyj 146082 +4rid 146083 +77i1 146084 +4Lqn 146085 +4YCZ 146086 +4pWg 146087 +1a8= 146088 +4o+p 146089 +8J2Row== 146090 +8J+Sow== 146091 +xZg= 146092 +4KWQ 146093 +4oGD 146094 +4oyY 146095 +6ruM 146096 +7IyU 146097 +8J2RmA== 146098 +8J+kkw== 146099 +1b8= 146100 +4KSt 146101 +4oya 146102 +4pyd 146103 +8J+QvA== 146104 +y4w= 146105 +4pWa 146106 +76aX 146107 +4p2V 146108 +4pWj 146109 +8J+QsQ== 146110 +4K6k 146111 +0b4= 146112 +4KSa 146113 +4KSc 146114 +7IiE 146115 +7Jqc 146116 +8J+Org== 146117 +yZI= 146118 +2rc= 146119 +4LqN 146120 +4oa1 146121 +4oiY 146122 +4p2K 146123 +67+N 146124 +7JCI 146125 +7JqY 146126 +7K+n 146127 +7YOv 146128 +7JaP 146129 +77iw 146130 +8J+Hrw== 146131 +8J+nmg== 146132 +8J+YtQ== 146133 +8J+Ytw== 146134 +8J+Msw== 146135 +4Lql 146136 +xIk= 146137 +xKU= 146138 +4py2 146139 +4b++ 146140 +4oqx 146141 +4pi+ 146142 +6rCJ 146143 +6ryw 146144 +67qR 146145 +8J+Uig== 146146 +8J+WkA== 146147 +xaQ= 146148 +0qs= 146149 +4K6u 146150 +4oyI 146151 +4peX 146152 +64S1 146153 +64Wc 146154 +65y5 146155 +8J2RpQ== 146156 +8J+Svw== 146157 +8J+bkg== 146158 +ypI= 146159 +4Z6T 146160 +8J+QnQ== 146161 +8J+mhA== 146162 +8J+Ntw== 146163 +4pif 146164 +77i2 146165 +8J+knw== 146166 +1LE= 146167 +4oay 146168 +4oiO 146169 +4pyr 146170 +64e9 146171 +64+Q 146172 +65WE 146173 +76az 146174 +76ed 146175 +77qZ 146176 +8J+Ruw== 146177 +8J+Tug== 146178 +6rW8 146179 +7Iyp 146180 +8J+Msg== 146181 +yLE= 146182 +7ZSV 146183 +8J+YpA== 146184 +44yi 146185 +ypQ= 146186 +4KSh 146187 +4byI 146188 +646D 146189 +66mx 146190 +666I 146191 +8J2Qqw== 146192 +4oqV 146193 +64Og 146194 +67us 146195 +7YuU 146196 +1aQ= 146197 +4byx 146198 +4pyl 146199 +4piE 146200 +4oil 146201 +4pqV 146202 +8J+RhA== 146203 +8J+OhQ== 146204 +4LqZ 146205 +4pSs 146206 +4b21 146207 +1b4= 146208 +1oE= 146209 +4peU 146210 +6r+N 146211 +65a1 146212 +66mO 146213 +6660 146214 +7JW0 146215 +4YOc 146216 +4byh 146217 +4pSK 146218 +4pWu 146219 +4pe8 146220 +8J+Nvg== 146221 +8J+bjQ== 146222 +8J+Rlw== 146223 +8J+kng== 146224 +4pyE 146225 +1YA= 146226 +4Kay 146227 +y4k= 146228 +4p+o 146229 +xK8= 146230 +z4o= 146231 +4bSc 146232 +67mz 146233 +77OL 146234 +77+g 146235 +xKo= 146236 +4oK4 146237 +4pyx 146238 +6ruQ 146239 +64u7 146240 +66e4 146241 +7J6/ 146242 +7Kmo 146243 +7K2Q 146244 +7LC/ 146245 +7YWf 146246 +8J2Qpw== 146247 +8J2RkQ== 146248 +8J+Mjg== 146249 +8J+Trg== 146250 +8J+VlA== 146251 +4peZ 146252 +4pe7 146253 +4p6n 146254 +7J+d 146255 +4pys 146256 +44Ow 146257 +4oGI 146258 +4pOY 146259 +8J+SjA== 146260 +76yD 146261 +4LqU 146262 +7JSw 146263 +8J+Yqg== 146264 +14A= 146265 +7IOo 146266 +762L 146267 +8J+NlQ== 146268 +8J+YtA== 146269 +z7M= 146270 +4byE 146271 +4b2F 146272 +4oei 146273 +4pWt 146274 +7Ji7 146275 +7Yqk 146276 +3Jg= 146277 +4qS0 146278 +4peN 146279 +4Z6f 146280 +8J+Nug== 146281 +4Z6a 146282 +8J+Pig== 146283 +8J+Qtw== 146284 +yow= 146285 +4b26 146286 +4oG7 146287 +6r2M 146288 +64iX 146289 +65eP 146290 +7L+w 146291 +7YC8 146292 +7Y2F 146293 +77ey 146294 +8J+Mjw== 146295 +8J+Nqw== 146296 +8J+Nsw== 146297 +8J+OsA== 146298 +8J+RsA== 146299 +8J+Ssg== 146300 +4aWZ 146301 +8J+Qnw== 146302 +77+h 146303 +8J+Xow== 146304 +8J+NnA== 146305 +4pyy 146306 +446i 146307 +8J+UsA== 146308 +4by4 146309 +4b2R 146310 +xI4= 146311 +4YSA 146312 +4pmV 146313 +66Cd 146314 +7Ii0 146315 +762t 146316 +05w= 146317 +1IA= 146318 +64Cc 146319 +64OU 146320 +7Iqb 146321 +7KuR 146322 +7Lql 146323 +7Lqs 146324 +8J2Rpg== 146325 +8J+Utg== 146326 +7L6o 146327 +8J2Qmg== 146328 +8J+Nuw== 146329 +8J+SjQ== 146330 +8J+koQ== 146331 +8J+Vig== 146332 +4r2H 146333 +4pOQ 146334 +8J+NrQ== 146335 +8J+Nqg== 146336 +8J+Uhg== 146337 +0qE= 146338 +4bSH 146339 +yZc= 146340 +3JQ= 146341 +4oSO 146342 +4p2D 146343 +65eA 146344 +77KU 146345 +77qI 146346 +8J2Quw== 146347 +8J+Sig== 146348 +8J+aqw== 146349 +0bA= 146350 +0bM= 146351 +4KS3 146352 +4peg 146353 +8J+RpA== 146354 +776H 146355 +4piT 146356 +8J+NtQ== 146357 +8J+kqA== 146358 +4pat 146359 +4K60 146360 +3KI= 146361 +3Kw= 146362 +4LSu 146363 +8J+Vug== 146364 +1Lk= 146365 +1aM= 146366 +4LSv 146367 +4bSA 146368 +4oyJ 146369 +4pyQ 146370 +4p6m 146371 +6rm9 146372 +64yc 146373 +8J+PpQ== 146374 +8J+TqQ== 146375 +0rk= 146376 +05g= 146377 +4KSF 146378 +4p2n 146379 +xpc= 146380 +4pe9 146381 +8J+Rqw== 146382 +8J+Opw== 146383 +8J+Row== 146384 +4py7 146385 +8J+ZhQ== 146386 +8J+Ylg== 146387 +8J+Srg== 146388 +4Lqw 146389 +8J+UnA== 146390 +8J+NhA== 146391 +8J+knQ== 146392 +4YOd 146393 +4Z6A 146394 +4oem 146395 +yr4= 146396 +0q4= 146397 +1bw= 146398 +4KSG 146399 +4peF 146400 +4pqT 146401 +4pqW 146402 +6r+p 146403 +66+E 146404 +7JCQ 146405 +7J6w 146406 +7Ket 146407 +7YuL 146408 +7Y6o 146409 +7Zmn 146410 +77KR 146411 +8J+Olw== 146412 +2bM= 146413 +8J+RuA== 146414 +4Kau 146415 +8J+RlQ== 146416 +2rU= 146417 +4oC+ 146418 +4p6w 146419 +8J+Rrw== 146420 +8J+OvA== 146421 +8J+PgQ== 146422 +xLo= 146423 +yo8= 146424 +2rM= 146425 +4o+x 146426 +6r2I 146427 +652M 146428 +7IyJ 146429 +7Je3 146430 +7J60 146431 +7Ze5 146432 +7Zyo 146433 +8J2Xsg== 146434 +8J+MkA== 146435 +8J+OmQ== 146436 +8J+PtQ== 146437 +7ZuZ 146438 +8J2RhQ== 146439 +8J+Ytg== 146440 +4pOF 146441 +4pWl 146442 +8J+Njw== 146443 +76aO 146444 +1ak= 146445 +8J2QhA== 146446 +06M= 146447 +2r8= 146448 +4pma 146449 +8J+Ulw== 146450 +4bir 146451 +4ouu 146452 +4pam 146453 +4pu9 146454 +4py1 146455 +44WG 146456 +44WK 146457 +64SZ 146458 +652o 146459 +66WE 146460 +7ISm 146461 +7Kew 146462 +7Ke5 146463 +7YmI 146464 +76eR 146465 +77uH 146466 +8J+Mvg== 146467 +8J+Plg== 146468 +8J+QkQ== 146469 +8J+Ssw== 146470 +8J+Thg== 146471 +24c= 146472 +3JU= 146473 +4b29 146474 +64Sc 146475 +4LSy 146476 +4LSz 146477 +4Lqt 146478 +4YOb 146479 +4p2U 146480 +4pGF 146481 +4YOl 146482 +8J+ThQ== 146483 +4p6z 146484 +4bS1 146485 +77mh 146486 +77m2 146487 +zoY= 146488 +4KSl 146489 +4Ym1 146490 +4p2Z 146491 +4p2x 146492 +64mg 146493 +646g 146494 +64+b 146495 +67+F 146496 +7JS4 146497 +7ZGv 146498 +7Z6J 146499 +7Z6b 146500 +76eE 146501 +762Y 146502 +77qm 146503 +77u4 146504 +8J2Rgg== 146505 +8J2Rjw== 146506 +z5E= 146507 +2qA= 146508 +4YCU 146509 +4Z6U 146510 +4bmi 146511 +64S4 146512 +8J2QqA== 146513 +8J+HtA== 146514 +1bA= 146515 +8J+RoA== 146516 +8J+Nhg== 146517 +8J+PgA== 146518 +8J+RkA== 146519 +8J+Nhw== 146520 +8J+Qow== 146521 +4Yit 146522 +3Ko= 146523 +8J+MgA== 146524 +4Z6Y 146525 +4oeE 146526 +8J2QgA== 146527 +ypk= 146528 +4pS8 146529 +8J+Pvw== 146530 +xrc= 146531 +yKA= 146532 +0b0= 146533 +4oKo 146534 +6rSt 146535 +6rm7 146536 +65So 146537 +7IiA 146538 +7L6w 146539 +7YaI 146540 +766n 146541 +76+9 146542 +8J+UhQ== 146543 +8J+Urg== 146544 +xaI= 146545 +yrA= 146546 +0bg= 146547 +4KSj 146548 +4oqX 146549 +66qE 146550 +77m3 146551 +77qF 146552 +8J2QtQ== 146553 +8J+Mtg== 146554 +8J+TsA== 146555 +8J+Utw== 146556 +8J+Wkg== 146557 +8J+ksg== 146558 +64mp 146559 +8J+Ohg== 146560 +8J+nkA== 146561 +8J+Nrg== 146562 +4oa6 146563 +4p2i 146564 +8J+Rqg== 146565 +8J+RsQ== 146566 +4oah 146567 +4Z6P 146568 +2pU= 146569 +8J+NuQ== 146570 +8J+SgA== 146571 +y64= 146572 +06g= 146573 +1oU= 146574 +4KSH 146575 +4oKh 146576 +4oiV 146577 +4piJ 146578 +6rm8 146579 +6ryQ 146580 +7L24 146581 +8J2QrA== 146582 +8J+PhQ== 146583 +8J+RmQ== 146584 +8J+SiQ== 146585 +8J+kmQ== 146586 +yJg= 146587 +ybM= 146588 +ybk= 146589 +2bo= 146590 +4YCE 146591 +4b+z 146592 +4pqY 146593 +4p2G 146594 +64aJ 146595 +7JaN 146596 +7JiH 146597 +7KWY 146598 +7ZaF 146599 +7ZmR 146600 +766K 146601 +77+t 146602 +8J2SkA== 146603 +8J2Xog== 146604 +8J+Ulg== 146605 +8J+UqA== 146606 +8J+akQ== 146607 +8J+asg== 146608 +xrg= 146609 +4pel 146610 +8J2QrQ== 146611 +8J+NvQ== 146612 +4peR 146613 +4pOH 146614 +8J+UsQ== 146615 +4py8 146616 +77mD 146617 +4pWx 146618 +44CX 146619 +8J+Piw== 146620 +8J+atA== 146621 +8J2Qrg== 146622 +xJo= 146623 +1Y8= 146624 +xLY= 146625 +4YOR 146626 +4bms 146627 +xIg= 146628 +xJI= 146629 +0rA= 146630 +05U= 146631 +4pA= 146632 +4pCj 146633 +4pei 146634 +4pqZ 146635 +44WX 146636 +6rCs 146637 +6rOq 146638 +6ruA 146639 +64S0 146640 +646B 146641 +652U 146642 +66y9 146643 +662N 146644 +7Iez 146645 +7LC5 146646 +7Yy5 146647 +7Z6d 146648 +766L 146649 +77aI 146650 +8J2Sgg== 146651 +8J+lgA== 146652 +8J+mhQ== 146653 +ypg= 146654 +4byR 146655 +4oGO 146656 +8J+Nng== 146657 +4oaW 146658 +4oaZ 146659 +8J+Ogw== 146660 +4oSh 146661 +4oux 146662 +8J+UjQ== 146663 +4LKo 146664 +4bWD 146665 +4pSr 146666 +4qa/ 146667 +8J+Huw== 146668 +xqQ= 146669 +0o8= 146670 +0rc= 146671 +24k= 146672 +4K6V 146673 +4biz 146674 +76yx 146675 +8J+GlA== 146676 +2q0= 146677 +26Y= 146678 +4YWh 146679 +4oS5 146680 +6r+O 146681 +65WU 146682 +67yJ 146683 +7Jqn 146684 +7LK1 146685 +7LSo 146686 +7YqI 146687 +7ZaQ 146688 +8J2XmA== 146689 +8J+Hvw== 146690 +8J+Olg== 146691 +8J+RhQ== 146692 +8J+TmA== 146693 +8J+amQ== 146694 +8J+btQ== 146695 +4La9 146696 +4pu1 146697 +8J2Qsw== 146698 +8J2QuA== 146699 +4pqU 146700 +8J+RrQ== 146701 +05E= 146702 +4pSv 146703 +8J+Fvw== 146704 +8J+YuQ== 146705 +77+r 146706 +4ryk 146707 +8J+Shw== 146708 +8J+Tjg== 146709 +8J+Wiw== 146710 +4Ka4 146711 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146783 +4bip 146784 +4pu3 146785 +4p2u 146786 +6qGT 146787 +64+k 146788 +65eQ 146789 +67WM 146790 +7JGI 146791 +7Y+/ 146792 +7Ze1 146793 +8J2Qjg== 146794 +8J+GmA== 146795 +8J+Pnw== 146796 +yaU= 146797 +1bs= 146798 +4KGU 146799 +4KSW 146800 +4bS4 146801 +4o6Z 146802 +4o6l 146803 +4o+z 146804 +64GV 146805 +64qJ 146806 +7KGN 146807 +7Lmh 146808 +76a2 146809 +76yf 146810 +766r 146811 +766v 146812 +77GD 146813 +77e7 146814 +77q1 146815 +8J2XlA== 146816 +8J2XoQ== 146817 +8J+OqA== 146818 +8J+Ukg== 146819 +2ps= 146820 +4KSn 146821 +4p65 146822 +4YCA 146823 +8J+NhQ== 146824 +4pek 146825 +4KSg 146826 +8J+QpQ== 146827 +4YOS 146828 +8J+PnQ== 146829 +8J+NvA== 146830 +44yn 146831 +4p2b 146832 +8J+QiA== 146833 +4Kav 146834 +4YCe 146835 +44CW 146836 +4Z6Z 146837 +4Kaq 146838 +1YY= 146839 +4oqG 146840 +4py+ 146841 +8J+Qlw== 146842 +77m/ 146843 +xKY= 146844 +3J8= 146845 +4LKg 146846 +4LKl 146847 +4Z6J 146848 +4bSl 146849 +4bSp 146850 +4b2A 146851 +4b2h 146852 +4oaV 146853 +4p6v 146854 +6qGR 146855 +65Gj 146856 +67GM 146857 +7IiR 146858 +7JyU 146859 +7J69 146860 +7KiN 146861 +8J2RgA== 146862 +8J+MjA== 146863 +8J+Npg== 146864 +8J+NqQ== 146865 +8J+Qmg== 146866 +8J+Tkg== 146867 +8J+TuQ== 146868 +8J+lkQ== 146869 +xIs= 146870 +y5c= 146871 +0as= 146872 +1aI= 146873 +2rA= 146874 +4oyA 146875 +4peC 146876 +4pej 146877 +4pyb 146878 +4p2S 146879 +4p2Y 146880 +4p6Z 146881 +4p6y 146882 +446N 146883 +6qGQ 146884 +656W 146885 +7Iqd 146886 +7Juk 146887 +7KGL 146888 +7Kiw 146889 +7ZeZ 146890 +76W4 146891 +77ON 146892 +77uO 146893 +8J2Rkw== 146894 +8J+Tig== 146895 +8J+avA== 146896 +76aB 146897 +8J2Vkg== 146898 +8J+RnA== 146899 +8J+Rvw== 146900 +8J+HvQ== 146901 +4LeE 146902 +4pa0 146903 +442J 146904 +4oqH 146905 +8J+nuA== 146906 +2qE= 146907 +4r6D 146908 +8J+Xuw== 146909 +4pOR 146910 +8J+kuA== 146911 +8J+krw== 146912 +6pKw 146913 +8J2Qkw== 146914 +4pS0 146915 +6pKx 146916 +4YCY 146917 +4puE 146918 +77m5 146919 +05Q= 146920 +4YOx 146921 +3KE= 146922 +354= 146923 +4pmP 146924 +4py4 146925 +7JGo 146926 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146997 +34s= 146998 +4KSL 146999 +4bWU 147000 +4b+D 147001 +4oSJ 147002 +4oyL 147003 +4o+y 147004 +4pOI 147005 +4pOi 147006 +4pWU 147007 +4pqR 147008 +4p2L 147009 +4p2O 147010 +4rWc 147011 +4rWj 147012 +65KI 147013 +65yB 147014 +67aH 147015 +7I27 147016 +7Jit 147017 +7Kei 147018 +7ZeA 147019 +76eK 147020 +76y4 147021 +77Gh 147022 +8J2Qug== 147023 +8J2Rpw== 147024 +8J2Ypg== 147025 +8J+TpQ== 147026 +8J+Ynw== 147027 +8J+lkA== 147028 +xJY= 147029 +yag= 147030 +4YCQ 147031 +4YOT 147032 +4bqT 147033 +4by2 147034 +4b2E 147035 +4oKk 147036 +4oyc 147037 +4oyf 147038 +4o6g 147039 +4pu4 147040 +4rWN 147041 +4rWP 147042 +4rWT 147043 +44CY 147044 +67e4 147045 +7YW8 147046 +76aM 147047 +762E 147048 +762O 147049 +8J2Zmg== 147050 +8J2amA== 147051 +4LyT 147052 +662F 147053 +4ZCb 147054 +446+ 147055 +76iA 147056 +8J+XvQ== 147057 +4pme 147058 +y5Y= 147059 +4pee 147060 +8J+kqw== 147061 +8J+Ylw== 147062 +772m 147063 +8J+kog== 147064 +4oGH 147065 +44C1 147066 +8J+NlA== 147067 +4Yqg 147068 +8J+YvA== 147069 +8J2Xrg== 147070 +8J+Qsw== 147071 +8J2Qiw== 147072 +8J+Gmg== 147073 +8J+Umw== 147074 +0bs= 147075 +3Kg= 147076 +4K6y 147077 +4pye 147078 +4rWZ 147079 +6rWj 147080 +7Lio 147081 +8J2QnA== 147082 +8J2YsA== 147083 +8J+UvQ== 147084 +x7s= 147085 +x78= 147086 +yoc= 147087 +zpA= 147088 +0IA= 147089 +0aE= 147090 +0bI= 147091 +0pI= 147092 +2bY= 147093 +35U= 147094 +4Lax 147095 +4ZCB 147096 +4oGe 147097 +4pan 147098 +4puI 147099 +4pyc 147100 +4py5 147101 +4p+5 147102 +4qSH 147103 +6rKK 147104 +6r6c 147105 +66+Q 147106 +67OQ 147107 +7IWp 147108 +7JCs 147109 +7JG5 147110 +76SU 147111 +76aa 147112 +76yg 147113 +762U 147114 +77q2 147115 +8J2Sjw== 147116 +8J2Whg== 147117 +8J2Xtg== 147118 +8J+Pgg== 147119 +8J+QvQ== 147120 +8J+SqQ== 147121 +8J+TvQ== 147122 +8J+XqA== 147123 +8J+Xug== 147124 +8J+YuA== 147125 +8J+lpw== 147126 +xZc= 147127 +yo4= 147128 +0pk= 147129 +17I= 147130 +4KSI 147131 +4by0 147132 +4b+R 147133 +4rWJ 147134 +44WT 147135 +7L20 147136 +8J2Wkw== 147137 +8J+Tlw== 147138 +8J+Uqg== 147139 +8J+WjQ== 147140 +z5I= 147141 +8J+RrA== 147142 +4YOZ 147143 +4oas 147144 +4pSk 147145 +4pu5 147146 +4pmf 147147 +8J+atg== 147148 +8J+Rvg== 147149 +4oiL 147150 +8J+Qrw== 147151 +4LyO 147152 +4py3 147153 +76iZ 147154 +4pS7 147155 +8J+RuQ== 147156 +4YSJ 147157 +4Lqq 147158 +4r6P 147159 +4r2F 147160 +446W 147161 +0bQ= 147162 +1a4= 147163 +2rw= 147164 +4YCV 147165 +4Ya8 147166 +662P 147167 +8J+QuA== 147168 +8J+aow== 147169 +xp0= 147170 +1Ls= 147171 +4YOi 147172 +8J+Nrw== 147173 +yaY= 147174 +1aY= 147175 +4pmL 147176 +76yr 147177 +8J2Xpg== 147178 +x5o= 147179 +ybE= 147180 +4KSJ 147181 +4bSE 147182 +4pmT 147183 +4puw 147184 +4p+q 147185 +64OY 147186 +66K4 147187 +7IKR 147188 +766U 147189 +8J2Vlg== 147190 +8J2Xpw== 147191 +8J+HvA== 147192 +8J+Tiw== 147193 +8J+anA== 147194 +8J+lpA== 147195 +xK4= 147196 +xbc= 147197 +34o= 147198 +4KWl 147199 +4K6q 147200 +4Z6E 147201 +4bWA 147202 +4biF 147203 +4byi 147204 +4oid 147205 +4oq5 147206 +4pK2 147207 +4pW0 147208 +4pux 147209 +4puz 147210 +4pu6 147211 +4p6f 147212 +44+E 147213 +6riU 147214 +6rmf 147215 +64ew 147216 +67m7 147217 +7IKl 147218 +7Ju7 147219 +7LCf 147220 +7YOw 147221 +7Ya6 147222 +7Zq9 147223 +76S0 147224 +76W+ 147225 +77Od 147226 +8J2Qpg== 147227 +8J2SnA== 147228 +8J2Snw== 147229 +8J2alw== 147230 +8J+OrQ== 147231 +8J+Pkw== 147232 +8J+Psw== 147233 +8J+Pug== 147234 +8J+QjQ== 147235 +8J+Rgw== 147236 +8J+Sjw== 147237 +8J+klg== 147238 +8J+ktQ== 147239 +1bI= 147240 +4rWU 147241 +65is 147242 +76aj 147243 +yoI= 147244 +4Yar 147245 +4Z6R 147246 +8J2Wjg== 147247 +8J2Xlg== 147248 +4YSD 147249 +4oeg 147250 +4YCh 147251 +4L2E 147252 +4p64 147253 +76aZ 147254 +4oea 147255 +8J+QrA== 147256 +8J+Qog== 147257 +4r6S 147258 +8J+QpA== 147259 +8J+Uqw== 147260 +44Ce 147261 +77i6 147262 +8J+Yug== 147263 +4r20 147264 +8J+GlQ== 147265 +4oG/ 147266 +8J+NqA== 147267 +4LKV 147268 +8J+amA== 147269 +4Z6F 147270 +4KaF 147271 +4Z6i 147272 +4Kic 147273 +4pqM 147274 +44C9 147275 +4Le0 147276 +4pOb 147277 +4YCc 147278 +7Iao 147279 +y6k= 147280 +3Jc= 147281 +4ou8 147282 +8J+ZiQ== 147283 +xYo= 147284 +yZM= 147285 +yrI= 147286 +zrA= 147287 +0bw= 147288 +1L8= 147289 +4KGQ 147290 +4Lyc 147291 +4L2m 147292 +4bac 147293 +4oKy 147294 +4oao 147295 +4oql 147296 +4pWn 147297 +4pmc 147298 +44uh 147299 +67Ss 147300 +67aR 147301 +7Im/ 147302 +7I6F 147303 +7KCx 147304 +7LCn 147305 +77Kh 147306 +8J2Smw== 147307 +8J2Vow== 147308 +8J2XnA== 147309 +8J+Nsg== 147310 +8J+OqQ== 147311 +8J+QkA== 147312 +8J+QoA== 147313 +8J+RvQ== 147314 +8J+SkQ== 147315 +8J+TnA== 147316 +8J+VtQ== 147317 +8J+ajA== 147318 +8J+bow== 147319 +yos= 147320 +068= 147321 +2bg= 147322 +35Q= 147323 +35k= 147324 +4KGT 147325 +4bSN 147326 +4bi/ 147327 +4o+6 147328 +4pal 147329 +66S9 147330 +7ZyR 147331 +8J2QuQ== 147332 +8J2WlA== 147333 +8J2ajg== 147334 +8J+ThA== 147335 +8J+mtw== 147336 +xoM= 147337 +4Kaf 147338 +4oyC 147339 +4pit 147340 +4rKa 147341 +652V 147342 +8J+Oow== 147343 +4K6H 147344 +4L2G 147345 +4YW1 147346 +4Zec 147347 +4oC9 147348 +4oyj 147349 +4oG9 147350 +8J+TrA== 147351 +8J+kpw== 147352 +4oeq 147353 +4r2j 147354 +4pef 147355 +76iX 147356 +6pKq 147357 +8J+bgA== 147358 +x4I= 147359 +8J+ltg== 147360 +8J+OjQ== 147361 +77+p 147362 +8J+Rkg== 147363 +4bWI 147364 +77i/ 147365 +4YWp 147366 +4r6m 147367 +4LCk 147368 +4bSW 147369 +4Kis 147370 +4LqX 147371 +4Ly7 147372 +0bo= 147373 +4Kiq 147374 +4bSz 147375 +8J2QiA== 147376 +4LuA 147377 +4bS/ 147378 +4oKN 147379 +4oeh 147380 +4puq 147381 +8J2Qgg== 147382 +8J2SlQ== 147383 +8J+QnA== 147384 +yo0= 147385 +0bE= 147386 +4L2D 147387 +666Q 147388 +7Juh 147389 +7JyB 147390 +8J2Qvw== 147391 +8J2VoA== 147392 +8J+Rmw== 147393 +xqo= 147394 +z7o= 147395 +06w= 147396 +2b8= 147397 +3aM= 147398 +4KqJ 147399 +4K65 147400 +4L2R 147401 +4Yav 147402 +4bWH 147403 +4oel 147404 +4o+q 147405 +4pmw 147406 +4pqt 147407 +4pq+ 147408 +44WE 147409 +6oCw 147410 +6rCX 147411 +6rKL 147412 +6rK7 147413 +6rac 147414 +6ryH 147415 +6r25 147416 +64Kf 147417 +64WI 147418 +64ui 147419 +66ef 147420 +66qG 147421 +67WA 147422 +7L2x 147423 +7YeY 147424 +7Zyc 147425 +76e+ 147426 +77G1 147427 +77Ki 147428 +77Kk 147429 +8J2Sig== 147430 +8J2Yrw== 147431 +8J+Nlw== 147432 +8J+PjQ== 147433 +8J+QmA== 147434 +8J+ToQ== 147435 +8J+Ung== 147436 +8J+ksw== 147437 +8J+lgQ== 147438 +8J+llw== 147439 +8J+mig== 147440 +xLU= 147441 +xqY= 147442 +x7U= 147443 +ya8= 147444 +zo8= 147445 +1YQ= 147446 +3KU= 147447 +4L2B 147448 +4aig 147449 +4pWr 147450 +446J 147451 +67e0 147452 +7IaO 147453 +7I6M 147454 +7KO1 147455 +7Zug 147456 +76eq 147457 +77OP 147458 +77u6 147459 +8J2RgQ== 147460 +8J2Rhw== 147461 +8J2Shg== 147462 +8J+OoA== 147463 +8J+QlA== 147464 +8J+Rnw== 147465 +xZY= 147466 +4KSM 147467 +4b69 147468 +6qaS 147469 +4K6f 147470 +4bSx 147471 +8J+PsA== 147472 +8J+Qng== 147473 +4L2A 147474 +4YCF 147475 +4oq/ 147476 +8J+Qpw== 147477 +4ZuB 147478 +4ryI 147479 +4pS/ 147480 +8J+ltA== 147481 +4ry/ 147482 +8J+nnA== 147483 +44W/ 147484 +4oSr 147485 +44Cz 147486 +44qZ 147487 +4ryA 147488 +76as 147489 +8J+PrA== 147490 +8J+Tuw== 147491 +4Yqb 147492 +4YSF 147493 +4LqK 147494 +4Lqb 147495 +4YWz 147496 +8J+Rrg== 147497 +4K6x 147498 +4piH 147499 +8J2Qjw== 147500 +4LS1 147501 +4LuB 147502 +4L2P 147503 +4L2i 147504 +4aWx 147505 +4oKj 147506 +76Wm 147507 +762Z 147508 +77Sp 147509 +77mC 147510 +8J+Now== 147511 +8J+VuQ== 147512 +z5Y= 147513 +4La4 147514 +4Lqi 147515 +4Yut 147516 +4o6d 147517 +4ped 147518 +4pmI 147519 +4pmO 147520 +6r2l 147521 +7LOU 147522 +7LyR 147523 +77Gw 147524 +8J2Rgw== 147525 +8J+Mqg== 147526 +8J+NoQ== 147527 +xY4= 147528 +yqY= 147529 +0ac= 147530 +044= 147531 +1LQ= 147532 +2og= 147533 +35M= 147534 +36c= 147535 +4KSU 147536 +4Yir 147537 +4Yi1 147538 +4Zep 147539 +4bSg 147540 +4byg 147541 +4oCX 147542 +4oGR 147543 +4oSP 147544 +4paH 147545 +4rKj 147546 +44Sz 147547 +44mu 147548 +6rOX 147549 +64SS 147550 +65ar 147551 +66GE 147552 +67mw 147553 +672B 147554 +7ISB 147555 +7IyY 147556 +7J+M 147557 +7LOJ 147558 +7LyV 147559 +76y7 147560 +77OO 147561 +77m4 147562 +77m+ 147563 +8J2Qhg== 147564 +8J2Rtw== 147565 +8J2bvA== 147566 +8J+Ojw== 147567 +8J+Ong== 147568 +8J+QmQ== 147569 +8J+Rgg== 147570 +8J+TgQ== 147571 +8J+WsQ== 147572 +8J+ajQ== 147573 +8J+apw== 147574 +8J+boQ== 147575 +8J+kkg== 147576 +8J+lng== 147577 +8J+lqQ== 147578 +8J+mgA== 147579 +8J+mlg== 147580 +y6I= 147581 +3Jo= 147582 +4K61 147583 +4YCB 147584 +4Ymw 147585 +4o+t 147586 +4pm/ 147587 +6rOY 147588 +64+d 147589 +65WD 147590 +7IWM 147591 +7JK4 147592 +7Juf 147593 +7YWE 147594 +7Zyr 147595 +76eY 147596 +77+s 147597 +8J+Ptw== 147598 +8J+Upw== 147599 +8J+liA== 147600 +xpY= 147601 +4Z6H 147602 +4Z6W 147603 +4oG6 147604 +4pec 147605 +4p6p 147606 +6qat 147607 +65mk 147608 +7628 147609 +8J2Zlg== 147610 +8J2Zow== 147611 +8J2ZpA== 147612 +8J+MnQ== 147613 +8J+UkQ== 147614 +8J+boA== 147615 +4LqH 147616 +4pij 147617 +44So 147618 +8J2Wlw== 147619 +05M= 147620 +4oaj 147621 +8J+liQ== 147622 +8J+MoA== 147623 +8J+YvQ== 147624 +446g 147625 +xac= 147626 +8J+Qkg== 147627 +76eQ 147628 +8J+Yvw== 147629 +4ois 147630 +8J+Qrg== 147631 +4p+x 147632 +4LKh 147633 +4r68 147634 +4LCy 147635 +y7Y= 147636 +4pa/ 147637 +1Yg= 147638 +4Z6O 147639 +4YWl 147640 +4Z6X 147641 +1ac= 147642 +8J+kkA== 147643 +8J+NoA== 147644 +4Kak 147645 +4La6 147646 +4pmN 147647 +7JiZ 147648 +7ZiT 147649 +77m6 147650 +8J+bsw== 147651 +xYk= 147652 +4bSO 147653 +4o+c 147654 +4pSz 147655 +6ri3 147656 +7KGU 147657 +8J2SiA== 147658 +8J2SjQ== 147659 +8J2SuQ== 147660 +8J2Thw== 147661 +8J2Vnw== 147662 +8J2XuQ== 147663 +8J+MhQ== 147664 +8J+PtA== 147665 +xJQ= 147666 +xKQ= 147667 +xbU= 147668 +x74= 147669 +z54= 147670 +z7Y= 147671 +1LM= 147672 +3IY= 147673 +36k= 147674 +4KGS 147675 +4KSY 147676 +4Laa 147677 +4L2W 147678 +4YGK 147679 +4YOe 147680 +4YSC 147681 +4Yur 147682 +4bS6 147683 +4bij 147684 +4biq 147685 +4bmC 147686 +4by3 147687 +4b+H 147688 +4oeM 147689 +4o+s 147690 +4pmM 147691 +4q6f 147692 +4rS7 147693 +4rWf 147694 +6qaV 147695 +6qaq 147696 +6qau 147697 +6rKE 147698 +6r6Q 147699 +64OR 147700 +65WL 147701 +66G4 147702 +66yA 147703 +7Iek 147704 +7Iip 147705 +7JyV 147706 +7K2Y 147707 +7Lew 147708 +7Le4 147709 +7ZyA 147710 +76Sj 147711 +76eN 147712 +77GE 147713 +77OR 147714 +8J2QpA== 147715 +8J2Skw== 147716 +8J2Stg== 147717 +8J2XvA== 147718 +8J2Zig== 147719 +8J+Hvg== 147720 +8J+Mmw== 147721 +8J+Mrg== 147722 +8J+Ohw== 147723 +8J+Osg== 147724 +8J+Pmw== 147725 +8J+RpQ== 147726 +8J+RtA== 147727 +8J+Shg== 147728 +8J+Tgg== 147729 +8J+Tpw== 147730 +8J+VkA== 147731 +8J+WlQ== 147732 +8J+Ypw== 147733 +8J+ZgA== 147734 +8J+akg== 147735 +8J+bqw== 147736 +8J+koA== 147737 +8J+lmg== 147738 +8J+lmw== 147739 +8J+low== 147740 +x68= 147741 +yKc= 147742 +zoo= 147743 +0rI= 147744 +17A= 147745 +25E= 147746 +4YOp 147747 +4YSM 147748 +4YiN 147749 +4Yml 147750 +4Y+C 147751 +4oGx 147752 +4oqi 147753 +4peT 147754 +4p2w 147755 +67+h 147756 +7Jup 147757 +7YGt 147758 +7Yaz 147759 +7YqE 147760 +7ZO4 147761 +76Wj 147762 +76W0 147763 +77GQ 147764 +77Gv 147765 +77Oa 147766 +8J2WmA== 147767 +8J2YgA== 147768 +8J+Qig== 147769 +8J+QjA== 147770 +8J+Rmg== 147771 +8J+Tgw== 147772 +8J+amw== 147773 +8J+aqg== 147774 +8J+ksA== 147775 +xLQ= 147776 +4YOu 147777 +4Zeo 147778 +4pmu 147779 +4rKe 147780 +44iU 147781 +7IWN 147782 +44WD 147783 +76Wh 147784 +4Lqh 147785 +1Y4= 147786 +1bo= 147787 +4qyb 147788 +4r2k 147789 +8J2Qsg== 147790 +4p61 147791 +4YCb 147792 +4pSF 147793 +4oaf 147794 +4ryK 147795 +8J+MvQ== 147796 +8J+avw== 147797 +76aK 147798 +44Sj 147799 +4pup 147800 +76mb 147801 +8J+NsQ== 147802 +4r6o 147803 +4LSk 147804 +4Z6B 147805 +4Lqe 147806 +ypo= 147807 +8J2Qkg== 147808 +4LSx 147809 +4Z6c 147810 +4K6p 147811 +4LCX 147812 +4LSa 147813 +4oej 147814 +76aV 147815 +1YU= 147816 +xpg= 147817 +4oKm 147818 +4pSE 147819 +76af 147820 +76ar 147821 +8J2QgQ== 147822 +8J2Qgw== 147823 +8J+NuA== 147824 +8J+Qsg== 147825 +xbY= 147826 +yZY= 147827 +35g= 147828 +4Lim 147829 +4L2U 147830 +4Ya3 147831 +4oGV 147832 +4pOC 147833 +4p2c 147834 +76Wl 147835 +76yu 147836 +8J2XnQ== 147837 +8J2Xvw== 147838 +8J+Ovg== 147839 +8J+XnQ== 147840 +8J+mjA== 147841 +xoU= 147842 +x6o= 147843 +0pc= 147844 +3Js= 147845 +36A= 147846 +4KGR 147847 +4Ymj 147848 +4Yqt 147849 +4bmh 147850 +4p68 147851 +4p6+ 147852 +4rSx 147853 +44mh 147854 +6rOv 147855 +672I 147856 +7IKY 147857 +7ImR 147858 +7KuY 147859 +7YyD 147860 +7Zmw 147861 +76SX 147862 +8J+MrA== 147863 +8J+MsA== 147864 +8J+NpA== 147865 +xLs= 147866 +xYc= 147867 +xqg= 147868 +yZU= 147869 +0qI= 147870 +0ro= 147871 +1o0= 147872 +17E= 147873 +2rE= 147874 +2r0= 147875 +25A= 147876 +4KSb 147877 +4LeA 147878 +4Lma 147879 +4Lqr 147880 +4bS5 147881 +4b2U 147882 +4b6z 147883 +4oKS 147884 +4oa0 147885 +4oed 147886 +4omF 147887 +4oyo 147888 +4pOT 147889 +4pai 147890 +4pqs 147891 +4p6t 147892 +4rKS 147893 +446/ 147894 +6r+0 147895 +64ix 147896 +642s 147897 +646Q 147898 +65Cr 147899 +65Sr 147900 +67GB 147901 +7IOl 147902 +7Yy8 147903 +762T 147904 +766l 147905 +77Kw 147906 +8J2Qhw== 147907 +8J2QkQ== 147908 +8J2RjA== 147909 +8J2Tqg== 147910 +8J2Vmg== 147911 +8J2Yqg== 147912 +8J2YvA== 147913 +8J2amw== 147914 +8J+Htg== 147915 +8J+MhA== 147916 +8J+MlQ== 147917 +8J+MpA== 147918 +8J+Mpw== 147919 +8J+NrA== 147920 +8J+Oiw== 147921 +8J+Ouw== 147922 +8J+PqA== 147923 +8J+Qhw== 147924 +8J+Rkw== 147925 +8J+TkA== 147926 +8J+TmQ== 147927 +8J+UvA== 147928 +8J+Vkg== 147929 +8J+Wjw== 147930 +8J+WpQ== 147931 +8J+krA== 147932 +8J+lig== 147933 +8J+lkg== 147934 +34w= 147935 +4LqE 147936 +4by1 147937 +4pWh 147938 +4rKk 147939 +4rS8 147940 +4rWi 147941 +44iv 147942 +65O4 147943 +65+H 147944 +67qN 147945 +8J2Zpw== 147946 +8J+NiA== 147947 +8J+UrA== 147948 +8J+Wig== 147949 +8J+kvg== 147950 +y6E= 147951 +3Kk= 147952 +4oyh 147953 +4q2R 147954 +4rKm 147955 +66mJ 147956 +7Lyt 147957 +77+k 147958 +8J2Sjg== 147959 +8J2XpQ== 147960 +8J+QtQ== 147961 +8J+Vtg== 147962 +8J+VuA== 147963 +8J+knA== 147964 +1ao= 147965 +4YiL 147966 +8J+ltQ== 147967 +77CB 147968 +4bWQ 147969 +4pWT 147970 +4YCW 147971 +4ouI 147972 +yZ4= 147973 +4p6u 147974 +4KWw 147975 +44aB 147976 +8J+SsQ== 147977 +8J+PrQ== 147978 +4Yao 147979 +8J+Nmg== 147980 +8J+mkA== 147981 +4bS7 147982 +4piM 147983 +4LSV 147984 +1bE= 147985 +4YWu 147986 +8J2QjA== 147987 +xaY= 147988 +4LqV 147989 +4pyZ 147990 +y7M= 147991 +1LU= 147992 +4pWS 147993 +8J2Xlw== 147994 +8J2XoA== 147995 +2po= 147996 +4Kan 147997 +4oad 147998 +4pmJ 147999 +44y7 148000 +7LmK 148001 +8J2Xug== 148002 +8J+nmA== 148003 +7LOj 148004 +76yd 148005 +8J+Rug== 148006 +x58= 148007 +zog= 148008 +zqs= 148009 +0aU= 148010 +1LI= 148011 +1ag= 148012 +3KY= 148013 +4KaG 148014 +4Kal 148015 +4ZCi 148016 +4byB 148017 +4byY 148018 +4bym 148019 +4pOd 148020 +44iw 148021 +446X 148022 +6rKh 148023 +66iA 148024 +7KOU 148025 +7LSk 148026 +7LWd 148027 +76e0 148028 +762K 148029 +77Kf 148030 +8J2Qtw== 148031 +8J2Riw== 148032 +8J2TiQ== 148033 +8J2YtQ== 148034 +8J+Stw== 148035 +8J+bqQ== 148036 +8J+nuQ== 148037 +xZQ= 148038 +yp4= 148039 +y6U= 148040 +zow= 148041 +0ak= 148042 +05A= 148043 +06A= 148044 +2pE= 148045 +2pI= 148046 +36g= 148047 +4KqI 148048 +4ZCD 148049 +4bmv 148050 +4oKL 148051 +4oK1 148052 +4oSF 148053 +4oSg 148054 +4oij 148055 +4om6 148056 +4om7 148057 +4oqb 148058 +4oyQ 148059 +4o6T 148060 +4pi4 148061 +4pmS 148062 +4pqS 148063 +4pyH 148064 +4pyg 148065 +4rS3 148066 +4rWW 148067 +44S4 148068 +44mi 148069 +44mw 148070 +6oe0 148071 +6rS4 148072 +6rqg 148073 +64KP 148074 +64Ki 148075 +65CA 148076 +67q0 148077 +7IOc 148078 +7I2F 148079 +7KSr 148080 +7LGm 148081 +7LqR 148082 +7LyB 148083 +7L+z 148084 +7YKB 148085 +7YWh 148086 +7ZKC 148087 +7ZKJ 148088 +7ZyE 148089 +762q 148090 +766s 148091 +76+m 148092 +77Gq 148093 +77KP 148094 +77SA 148095 +77uG 148096 +77+m 148097 +8J2Rlw== 148098 +8J2WmQ== 148099 +8J+MoQ== 148100 +8J+NnQ== 148101 +8J+Npw== 148102 +8J+Oqw== 148103 +8J+PmA== 148104 +8J+Pqg== 148105 +8J+Qiw== 148106 +8J+Qmw== 148107 +8J+Qug== 148108 +8J+Rlg== 148109 +8J+Rng== 148110 +8J+Rtw== 148111 +8J+TgA== 148112 +8J+UhA== 148113 +8J+UjA== 148114 +8J+VmQ== 148115 +8J+ZjQ== 148116 +8J+Zjg== 148117 +8J+mjQ== 148118 +x7A= 148119 +yZ8= 148120 +yoY= 148121 +1Lw= 148122 +2pw= 148123 +4Kah 148124 +4Ka2 148125 +4ZKD 148126 +4byp 148127 +4pOV 148128 +4rKI 148129 +6rCw 148130 +6rmg 148131 +6rqF 148132 +64S5 148133 +66+T 148134 +7ZCI 148135 +76e2 148136 +766R 148137 +77Ko 148138 +8J2SiQ== 148139 +8J2SlA== 148140 +8J2XqA== 148141 +8J2Zng== 148142 +8J2akg== 148143 +8J2alQ== 148144 +8J+Qjg== 148145 +8J+klQ== 148146 +8J+nlA== 148147 +z7A= 148148 +1J0= 148149 +4oyK 148150 +4pK+ 148151 +44mj 148152 +762p 148153 +8J2ang== 148154 +ypE= 148155 +4Kam 148156 +4YSH 148157 +4omD 148158 +4rKA 148159 +7J+O 148160 +8J2Rtg== 148161 +8J2Tsg== 148162 +8J+Otw== 148163 +8J+auQ== 148164 +4LqB 148165 +4aCg 148166 +44Sa 148167 +8J+Qvw== 148168 +4Zua 148169 +4pWz 148170 +8J+QrQ== 148171 +4pK5 148172 +8J2Wmg== 148173 +4pmW 148174 +44iy 148175 +4oa+ 148176 +4YSG 148177 +4pWb 148178 +8J+kjQ== 148179 +4r2l 148180 +8J+MqA== 148181 +4oiu 148182 +44yY 148183 +442R 148184 +77mA 148185 +4pOX 148186 +4oqE 148187 +8J+PuQ== 148188 +y5I= 148189 +8J+ksQ== 148190 +44+c 148191 +8J+OjA== 148192 +76Wt 148193 +4Kaj 148194 +8J+OuQ== 148195 +44qf 148196 +4LSw 148197 +8J2QlA== 148198 +4LSo 148199 +4L2a 148200 +4py6 148201 +1bc= 148202 +8J+Rsw== 148203 +4Kac 148204 +4piL 148205 +4pmK 148206 +44Cb 148207 +yIs= 148208 +4K6w 148209 +4YOo 148210 +4oSV 148211 +7ZGA 148212 +8J2Tgw== 148213 +8J+mlA== 148214 +xL8= 148215 +xYA= 148216 +xrM= 148217 +yZo= 148218 +1oM= 148219 +3KM= 148220 +358= 148221 +4Kat 148222 +4Keh 148223 +4La7 148224 +4Lqj 148225 +4L2H 148226 +4bio 148227 +4b2I 148228 +4r2s 148229 +6qGU 148230 +7LOE 148231 +76iJ 148232 +8J2QoQ== 148233 +8J2Yog== 148234 +8J+Nvw== 148235 +8J+Onw== 148236 +8J+PiQ== 148237 +8J+UkA== 148238 +8J+ahQ== 148239 +8J+kvQ== 148240 +xo0= 148241 +x6s= 148242 +x70= 148243 +yJo= 148244 +zok= 148245 +06Q= 148246 +06o= 148247 +1Yo= 148248 +2bw= 148249 +2rQ= 148250 +350= 148251 +4Lac 148252 +4byV 148253 +4b+l 148254 +4o6e 148255 +44Ca 148256 +44mk 148257 +6rO4 148258 +6reB 148259 +65OE 148260 +65OV 148261 +7KiU 148262 +7LGo 148263 +8J2Qvg== 148264 +8J2Ruw== 148265 +8J2UvA== 148266 +8J2VnQ== 148267 +8J2YrQ== 148268 +8J+GmQ== 148269 +8J+TpA== 148270 +8J+Unw== 148271 +8J+XvA== 148272 +xJw= 148273 +xoE= 148274 +xr8= 148275 +x7M= 148276 +x7c= 148277 +yYM= 148278 +yaA= 148279 +yok= 148280 +yqc= 148281 +y7I= 148282 +z7Q= 148283 +1YE= 148284 +1Z4= 148285 +1oc= 148286 +24I= 148287 +25M= 148288 +35c= 148289 +36Y= 148290 +4Ka5 148291 +4K6z 148292 +4LS4 148293 +4LuC 148294 +4Yid 148295 +4Yiq 148296 +4Yu1 148297 +4ZCK 148298 +4ZKq 148299 +4ZqW 148300 +4Z6b 148301 +4bSi 148302 +4bWP 148303 +4bWt 148304 +4bar 148305 +4biP 148306 +4bqS 148307 +4byl 148308 +4b2V 148309 +4b28 148310 +4oKK 148311 +4oSC 148312 +4oSp 148313 +4oeJ 148314 +4omj 148315 +4oyg 148316 +4o6f 148317 +4o+u 148318 +4pWY 148319 +4peW 148320 +4pip 148321 +4pmR 148322 +4pmy 148323 +4pqb 148324 +44Sf 148325 +44mx 148326 +446a 148327 +6qGV 148328 +6qqW 148329 +6rC5 148330 +6rKG 148331 +6rWE 148332 +64es 148333 +64uv 148334 +64+g 148335 +65Ks 148336 +65aI 148337 +65a9 148338 +65iU 148339 +6564 148340 +67iF 148341 +67ug 148342 +67+f 148343 +7IK1 148344 +7IqJ 148345 +7Jyw 148346 +7KCL 148347 +7KCU 148348 +7KWh 148349 +7K2d 148350 +7Lys 148351 +7YiH 148352 +7Ymc 148353 +7Y2E 148354 +7Zu+ 148355 +7Z2j 148356 +76Sp 148357 +76Sv 148358 +76ac 148359 +76an 148360 +76ec 148361 +76iI 148362 +76yq 148363 +76y0 148364 +7629 148365 +766J 148366 +76+e 148367 +77CS 148368 +77GH 148369 +77+E 148370 +8J2QhQ== 148371 +8J2RhA== 148372 +8J2Rug== 148373 +8J2Slw== 148374 +8J2Trg== 148375 +8J2Vmw== 148376 +8J2Vng== 148377 +8J2WkQ== 148378 +8J2YgQ== 148379 +8J2Yhg== 148380 +8J2Ytg== 148381 +8J2Zog== 148382 +8J2anA== 148383 +8J+Mgw== 148384 +8J+Mpg== 148385 +8J+Nnw== 148386 +8J+Ojg== 148387 +8J+PmQ== 148388 +8J+QqQ== 148389 +8J+Qqw== 148390 +8J+QtA== 148391 +8J+RlA== 148392 +8J+TiQ== 148393 +8J+Tmw== 148394 +8J+UiQ== 148395 +8J+WvA== 148396 +8J+Xgw== 148397 +8J+Xrw== 148398 +8J+ahw== 148399 +8J+akA== 148400 +8J+atQ== 148401 +8J+ktg== 148402 +8J+liw== 148403 +8J+lkw== 148404 +8J+lrg== 148405 +8J+mjg== 148406 +8J+moA== 148407 +8J+nkg== 148408 +8J+nqA== 148409 +xpA= 148410 +x40= 148411 +04A= 148412 +1Js= 148413 +4LKw 148414 +4LSZ 148415 +4YCS 148416 +6rKd 148417 +6rm5 148418 +66ml 148419 +7JaU 148420 +76SB 148421 +76SP 148422 +76aJ 148423 +76aT 148424 +76eJ 148425 +77Kd 148426 +8J2Xng== 148427 +8J2XsQ== 148428 +8J+Miw== 148429 +8J+Ntg== 148430 +4Kaa 148431 +7JWc 148432 +8J2Qrw== 148433 +8J2anQ== 148434 +4LCo 148435 +4L2Y 148436 +4L2g 148437 +4aGl 148438 +4b6w 148439 +4oGN 148440 +4pSw 148441 +4qyc 148442 +8J2QoA== 148443 +8J2Rrw== 148444 +8J2Xmw== 148445 +8J2Tuw== 148446 +8J2WiA== 148447 +4p67 148448 +4Z6g 148449 +4qGx 148450 +4ruR 148451 +8J+ntQ== 148452 +76ai 148453 +8J+RmA== 148454 +44KU 148455 +4ryf 148456 +44qk 148457 +76ad 148458 +44ym 148459 +4oC4 148460 +8J+UmQ== 148461 +47k= 148462 +47mm 148463 +77mF 148464 +76mM 148465 +44mo 148466 +77i9 148467 +4o2l 148468 +8J+aiQ== 148469 +8J+lnA== 148470 +4pOc 148471 +4rud 148472 +76ic 148473 +8J+Skg== 148474 +4YSR 148475 +4r6e 148476 +76iB 148477 +4LSq 148478 +4YSO 148479 +4p60 148480 +4Ka3 148481 +4YWs 148482 +4Z6n 148483 +4oai 148484 +4pWm 148485 +4pyR 148486 +y6w= 148487 +1ZA= 148488 +4LyU 148489 +yqQ= 148490 +y6g= 148491 +4KSe 148492 +4LuD 148493 +4Lya 148494 +4pOl 148495 +4pWc 148496 +8J+Qlg== 148497 +4byZ 148498 +4byk 148499 +7Iaw 148500 +yII= 148501 +yrE= 148502 +4K6a 148503 +4YOn 148504 +4bSL 148505 +4bSu 148506 +4p2h 148507 +4p63 148508 +652h 148509 +76ei 148510 +76+h 148511 +8J2VlQ== 148512 +8J+FsA== 148513 +8J+muA== 148514 +x7g= 148515 +054= 148516 +1LY= 148517 +1oY= 148518 +2oE= 148519 +24s= 148520 +4Y6l 148521 +4b6/ 148522 +4pSt 148523 +4pSu 148524 +6oCA 148525 +6rGY 148526 +65Ct 148527 +672E 148528 +7JSQ 148529 +7LiM 148530 +7YGg 148531 +7Zmx 148532 +76WJ 148533 +76iW 148534 +8J2RtA== 148535 +8J2Wkg== 148536 +8J2YqA== 148537 +8J2ajA== 148538 +8J+QoQ== 148539 +8J+Rog== 148540 +8J+TlA== 148541 +xYU= 148542 +xo4= 148543 +yKk= 148544 +0qo= 148545 +1IM= 148546 +4YOr 148547 +4biH 148548 +4puf 148549 +6rut 148550 +66iE 148551 +7J+A 148552 +7KS0 148553 +7ZqQ 148554 +76Sz 148555 +8J+fog== 148556 +xqc= 148557 +yLw= 148558 +yp0= 148559 +y4Q= 148560 +y4U= 148561 +y40= 148562 +y6c= 148563 +0qU= 148564 +1ZQ= 148565 +2I8= 148566 +2Lw= 148567 +35A= 148568 +35w= 148569 +4KST 148570 +4KaZ 148571 +4K6T 148572 +4La0 148573 +4LyN 148574 +4LyS 148575 +4L2j 148576 +4YCC 148577 +4YCK 148578 +4YSE 148579 +4YiY 148580 +4YuK 148581 +4YyN 148582 +4ZGL 148583 +4Z6C 148584 +4aCi 148585 +4aGd 148586 +4bSm 148587 +4bWN 148588 +4bWo 148589 +4bih 148590 +4biv 148591 +4byj 148592 +4oGC 148593 +4oSY 148594 +4oSc 148595 +4oSz 148596 +4oS1 148597 +4oam 148598 +4oeG 148599 +4oi3 148600 +4oqa 148601 +4oyr 148602 +4oyv 148603 +4o6b 148604 +4o6c 148605 +4o6k 148606 +4o6m 148607 +4o6u 148608 +4pGJ 148609 +4pSJ 148610 +4pWZ 148611 +4paC 148612 +4pet 148613 +4piK 148614 +4piN 148615 +4piS 148616 +4pqG 148617 +4pun 148618 +4puy 148619 +4p6Y 148620 +4qWE 148621 +4rSz 148622 +4rS9 148623 +4rWI 148624 +44mv 148625 +446R 148626 +46es 148627 +6pms 148628 +6qeB 148629 +6rOs 148630 +6rSe 148631 +6ruc 148632 +64WT 148633 +64u8 148634 +642W 148635 +65ax 148636 +652w 148637 +66G5 148638 +66K0 148639 +66OA 148640 +66Sg 148641 +66iV 148642 +662l 148643 +7IS2 148644 +7IWk 148645 +7IyV 148646 +7I2q 148647 +7I+p 148648 +7JKA 148649 +7JSv 148650 +7J2U 148651 +7J2c 148652 +7KCt 148653 +7Kem 148654 +7Kip 148655 +7LKs 148656 +7LOl 148657 +7Lyv 148658 +7YCr 148659 +7YCt 148660 +7YO4 148661 +7ZOB 148662 +7ZWs 148663 +7Ze4 148664 +7ZuV 148665 +7Zyt 148666 +7Z2X 148667 +76SM 148668 +76Sq 148669 +76e/ 148670 +76yE 148671 +76yF 148672 +762R 148673 +762r 148674 +7626 148675 +766C 148676 +766i 148677 +766o 148678 +77CO 148679 +77Cg 148680 +77Kj 148681 +77OQ 148682 +77OS 148683 +77OY 148684 +77Oc 148685 +77m8 148686 +77+o 148687 +8J2QqQ== 148688 +8J2Smg== 148689 +8J2VlA== 148690 +8J2VpA== 148691 +8J2WjA== 148692 +8J2Xow== 148693 +8J2XsA== 148694 +8J2XtA== 148695 +8J2Ygg== 148696 +8J2YpQ== 148697 +8J2Yrg== 148698 +8J2YuA== 148699 +8J2ZgA== 148700 +8J2bvg== 148701 +8J2cjw== 148702 +8J+MgQ== 148703 +8J+MnA== 148704 +8J+MpQ== 148705 +8J+Mrw== 148706 +8J+NkA== 148707 +8J+Okg== 148708 +8J+PlA== 148709 +8J+PlQ== 148710 +8J+Prg== 148711 +8J+Qgg== 148712 +8J+QiQ== 148713 +8J+QuQ== 148714 +8J+UlQ== 148715 +8J+Umg== 148716 +8J+VkQ== 148717 +8J+Vow== 148718 +8J+Xng== 148719 +8J+XoQ== 148720 +8J+Xvw== 148721 +8J+ahg== 148722 +8J+aig== 148723 +8J+akw== 148724 +8J+alQ== 148725 +8J+avg== 148726 +8J+bgQ== 148727 +8J+bjg== 148728 +8J+bjw== 148729 +8J+ktA== 148730 +8J+llQ== 148731 +8J+llg== 148732 +8J+loA== 148733 +8J+lpQ== 148734 +8J+mhg== 148735 +8J+miQ== 148736 +8J+mmg== 148737 +8J+nkQ== 148738 +8J+npQ== 148739 +8J+nvw== 148740 +xbA= 148741 +xro= 148742 +yac= 148743 +4KqH 148744 +4K6j 148745 +4YiI 148746 +4Yqk 148747 +4Yuu 148748 +4YyI 148749 +4Yy1 148750 +4aWy 148751 +4pOf 148752 +6pmz 148753 +6rCK 148754 +65WB 148755 +65Wo 148756 +7IqB 148757 +76a1 148758 +76yy 148759 +8J2WjQ== 148760 +8J2YjA== 148761 +8J2Ysw== 148762 +8J2ZqQ== 148763 +8J+NmQ== 148764 +8J+Wlg== 148765 +4Ymz 148766 +4Yuo 148767 +4ZaH 148768 +4Z6M 148769 +4bmn 148770 +4pWq 148771 +4p6a 148772 +4rKY 148773 +6pU= 148774 +6pWl 148775 +76S3 148776 +766j 148777 +76+g 148778 +8J2Slg== 148779 +8J2VmA== 148780 +8J2Whw== 148781 +8J2Xnw== 148782 +8J2Xqg== 148783 +8J2Xrw== 148784 +8J2ZoA== 148785 +8J+Tjw== 148786 +4KaX 148787 +4pK7 148788 +4rKg 148789 +8J2TtQ== 148790 +yqM= 148791 +4LCc 148792 +4Yqi 148793 +4Z6Q 148794 +4bi3 148795 +4oSb 148796 +4oeA 148797 +4oeK 148798 +6pKm 148799 +6qag 148800 +766k 148801 +8J+Nmw== 148802 +8J+kmw== 148803 +4ai+ 148804 +4p66 148805 +4ZWv 148806 +4ZuP 148807 +4oeC 148808 +4pS5 148809 +4pmX 148810 +8J+WqA== 148811 +6qaP 148812 +4Kqw 148813 +4Zqo 148814 +8J+kpQ== 148815 +8J+nog== 148816 +45CC 148817 +44Sl 148818 +8J+WjA== 148819 +4ryS 148820 +44qn 148821 +4o2p 148822 +8J+mkQ== 148823 +4pS3 148824 +76mQ 148825 +76mh 148826 +8JOI 148827 +8JOIkg== 148828 +4ruE 148829 +76iS 148830 +4oSq 148831 +0qc= 148832 +2ow= 148833 +4oC2 148834 +4rqg 148835 +4ruB 148836 +4oa4 148837 +4YSQ 148838 +44WQ 148839 +4LuE 148840 +4Zeq 148841 +4oa8 148842 +4oeL 148843 +4oeY 148844 +4oyR 148845 +4pap 148846 +8J2Qlw== 148847 +xIo= 148848 +4KaJ 148849 +7Img 148850 +yaQ= 148851 +340= 148852 +348= 148853 +4bWX 148854 +4oKl 148855 +4pOJ 148856 +4pSg 148857 +4pSo 148858 +4pWE 148859 +5KQ= 148860 +5KSA 148861 +6ru4 148862 +766B 148863 +8JOC 148864 +8JOCgw== 148865 +8J+mlQ== 148866 +xps= 148867 +4KaH 148868 +44+Y 148869 +7668 148870 +2pM= 148871 +2p0= 148872 +4KaT 148873 +4Lav 148874 +4bSF 148875 +4b2Z 148876 +4oG8 148877 +4paO 148878 +4ryp 148879 +5JQ= 148880 +5JSA 148881 +67uh 148882 +7Ju9 148883 +7YGE 148884 +76W8 148885 +77GJ 148886 +77m7 148887 +8J2Wiw== 148888 +8J2ZiA== 148889 +8J2Zqg== 148890 +8J2Ztg== 148891 +8J+QhA== 148892 +8J+Qhg== 148893 +4Y6i 148894 +4biM 148895 +4p20 148896 +8J+PuA== 148897 +yJ0= 148898 +ybg= 148899 +zoU= 148900 +z5w= 148901 +06I= 148902 +1bk= 148903 +4LSF 148904 +4LqI 148905 +4Yuw 148906 +4ZGO 148907 +4aC1 148908 +4aGg 148909 +4bSJ 148910 +4bi1 148911 +4b+0 148912 +4pOj 148913 +4pS2 148914 +4r2v 148915 +6rKl 148916 +6r+Y 148917 +64GO 148918 +646I 148919 +65Sv 148920 +67Kw 148921 +7Jiv 148922 +7Ju4 148923 +7J6X 148924 +7KeY 148925 +7Kys 148926 +7Les 148927 +7YGF 148928 +7ZOU 148929 +7Zud 148930 +76Su 148931 +76S5 148932 +76Wy 148933 +76+W 148934 +8J2ThQ== 148935 +8J2ZhA== 148936 +8J+Ttg== 148937 +8J+Xkg== 148938 +8J+llA== 148939 +8J+lrQ== 148940 +xa4= 148941 +xbQ= 148942 +xok= 148943 +xqs= 148944 +x4E= 148945 +x6M= 148946 +x7o= 148947 +x7w= 148948 +yI0= 148949 +yK8= 148950 +yZw= 148951 +yqw= 148952 +y4E= 148953 +y6Q= 148954 +y7U= 148955 +z5s= 148956 +0qQ= 148957 +0qw= 148958 +048= 148959 +05s= 148960 +06E= 148961 +07M= 148962 +1Iw= 148963 +1Kw= 148964 +1bM= 148965 +2bs= 148966 +2ok= 148967 +2qc= 148968 +3Jw= 148969 +36o= 148970 +4KSd 148971 +4Kab 148972 +4KiG 148973 +4KqV 148974 +4Kqh 148975 +4K6O 148976 +4LCs 148977 +4LW7 148978 +4LW8 148979 +4Lag 148980 +4Lat 148981 +4La2 148982 +4LeG 148983 +4Ly9 148984 +4YCa 148985 +4YWi 148986 +4Ya4 148987 +4YiA 148988 +4YiV 148989 +4Yiw 148990 +4Ymh 148991 +4Ymk 148992 +4Yqm 148993 +4Yqr 148994 +4YuL 148995 +4YuN 148996 +4Y6v 148997 +4ZGt 148998 +4ZWX 148999 +4Z+b 149000 +4aWS 149001 +4amJ 149002 +4a26 149003 +4bSh 149004 +4bWY 149005 +4bWb 149006 +4bag 149007 +4biB 149008 +4biL 149009 +4bmZ 149010 +4bmd 149011 +4bmm 149012 +4bqF 149013 +4byC 149014 +4b2D 149015 +4b2N 149016 +4b2n 149017 +4b63 149018 +4oC1 149019 +4oKO 149020 +4oSd 149021 +4oWA 149022 +4oae 149023 +4oan 149024 +4oeF 149025 +4oiD 149026 +4omP 149027 +4om9 149028 +4oqe 149029 +4oqh 149030 +4oqn 149031 +4oq2 149032 +4ouE 149033 +4o6S 149034 +4o6h 149035 +4o6j 149036 +4o6q 149037 +4o+O 149038 +4pOD 149039 +4pOW 149040 +4pOo 149041 +4pWL 149042 +4pWW 149043 +4pWi 149044 +4pWy 149045 +4paG 149046 +4paK 149047 +4paN 149048 +4pau 149049 +4pih 149050 +4pim 149051 +4pix 149052 +4pi/ 149053 +4pmY 149054 +4pmd 149055 +4pqw 149056 +4puR 149057 +4p6q 149058 +4qSd 149059 +4qSi 149060 +4qS3 149061 +4qer 149062 +4qit 149063 +4qiv 149064 +4rGj 149065 +4rKO 149066 +4rWb 149067 +44WU 149068 +44iP 149069 +44my 149070 +44mz 149071 +44qR 149072 +44ub 149073 +446Q 149074 +6rKk 149075 +6re/ 149076 +6rme 149077 +6ruo 149078 +6ryN 149079 +6r+4 149080 +64Os 149081 +64eQ 149082 +64ug 149083 +642v 149084 +65eM 149085 +65eR 149086 +66WA 149087 +66qD 149088 +66qv 149089 +67Gh 149090 +67OT 149091 +67O9 149092 +67Wc 149093 +7IKz 149094 +7IWl 149095 +7Ie9 149096 +7I+o 149097 +7I+4 149098 +7JWN 149099 +7JaW 149100 +7J+o 149101 +7KKD 149102 +7KKN 149103 +7KWR 149104 +7Ke8 149105 +7KmD 149106 +7K6c 149107 +7K64 149108 +7LOR 149109 +7LSl 149110 +7L6D 149111 +7YWm 149112 +7Yi/ 149113 +7ZO9 149114 +7ZWz 149115 +7ZaP 149116 +7Zeg 149117 +7Z2r 149118 +76ST 149119 +76SY 149120 +76WO 149121 +76W2 149122 +76aF 149123 +76a9 149124 +76eH 149125 +76yG 149126 +76yz 149127 +766H 149128 +766I 149129 +766d 149130 +766p 149131 +766x 149132 +76+Y 149133 +76+Z 149134 +76+i 149135 +76+j 149136 +76+k 149137 +76+l 149138 +77GC 149139 +77KG 149140 +77Kq 149141 +77S8 149142 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+8J+agg== 149203 +8J+aog== 149204 +8J+apg== 149205 +8J+arA== 149206 +8J+biw== 149207 +8J+bjA== 149208 +8J+brA== 149209 +8J+btg== 149210 +8J+foQ== 149211 +8J+lmA== 149212 +8J+lnw== 149213 +8J+lpg== 149214 +8J+mhw== 149215 +8J+miA== 149216 +8J+nig== 149217 +8J+nlw== 149218 +8J+npA== 149219 +yrc= 149220 +y7k= 149221 +4bma 149222 +4b2l 149223 +4oSf 149224 +6rKv 149225 +6rur 149226 +67C3 149227 +7IOG 149228 +7Jud 149229 +7KiJ 149230 +7KuP 149231 +76+V 149232 +8J2ciw== 149233 +ybI= 149234 +0q0= 149235 +04g= 149236 +4L2b 149237 +4YuT 149238 +4Zmt 149239 +4aCp 149240 +4bmu 149241 +4oSS 149242 +4oa7 149243 +4rWD 149244 +64Co 149245 +66Cn 149246 +7Iml 149247 +7Iyc 149248 +7Je2 149249 +7KiI 149250 +7Kq+ 149251 +7Y+9 149252 +7ZqU 149253 +7Zu1 149254 +76S4 149255 +76aQ 149256 +76eX 149257 +76ea 149258 +76yv 149259 +8J2Qig== 149260 +8J2Vlw== 149261 +8J2Xmg== 149262 +8J2alg== 149263 +8J+FtA== 149264 +yIM= 149265 +yZ0= 149266 +z7E= 149267 +05c= 149268 +4KSi 149269 +4YWg 149270 +4Ymm 149271 +4ZGM 149272 +4ZK8 149273 +4Z6h 149274 +4aCo 149275 +4aCt 149276 +4aiF 149277 +4aiU 149278 +4bSY 149279 +4bam 149280 +4biO 149281 +4byF 149282 +4by5 149283 +4oav 149284 +4pOO 149285 +44+M 149286 +6ok= 149287 +6omC 149288 +64an 149289 +652x 149290 +7KKh 149291 +7Yi9 149292 +76SH 149293 +76Sb 149294 +8J2QlQ== 149295 +8J2TuA== 149296 +8J2TvA== 149297 +8J2XlQ== 149298 +8J2YiA== 149299 +8J+Pow== 149300 +8J+PpA== 149301 +8J+XhA== 149302 +0bc= 149303 +0qA= 149304 +4bWW 149305 +4byo 149306 +66yE 149307 +77C0 149308 +4oi9 149309 +1a0= 149310 +2rk= 149311 +4KWf 149312 +4YCG 149313 +4Z6S 149314 +44C2 149315 +6qar 149316 +77iT 149317 +8J2Qmw== 149318 +8J2Ylw== 149319 +8J+PnA== 149320 +7Kut 149321 +8J+nng== 149322 +4L2C 149323 +4oa/ 149324 +4oeP 149325 +4pOB 149326 +4pSn 149327 +4pWB 149328 +4pWk 149329 +6qaX 149330 +6qak 149331 +8J+PiA== 149332 +4Z6V 149333 +1L0= 149334 +4KqX 149335 +4KyG 149336 +4pWV 149337 +772g 149338 +4rym 149339 +4ryv 149340 +4r63 149341 +4pSW 149342 +4KyT 149343 +4piX 149344 +4o2L 149345 +76id 149346 +4ryl 149347 +76aq 149348 +4oSK 149349 +44C0 149350 +4o2i 149351 +8KGI 149352 +8KGIvQ== 149353 +76mo 149354 +44C7 149355 +44+D 149356 +76ah 149357 +76iY 149358 +8J+Qgw== 149359 +8J+Glg== 149360 +8J+Xvg== 149361 +44SH 149362 +3os= 149363 +4ry8 149364 +76it 149365 +3oA= 149366 +3oQ= 149367 +3og= 149368 +3pA= 149369 +4oyE 149370 +4ruY 149371 +45+i 149372 +4YWn 149373 +8JCMvw== 149374 +y7s= 149375 +4LKX 149376 +4YCH 149377 +4Z6K 149378 +4pWH 149379 +44e8 149380 +446w 149381 +1ZI= 149382 +3Ig= 149383 +36U= 149384 +4L+Q 149385 +4YCf 149386 +4oal 149387 +4pWM 149388 +4r2A 149389 +4r2w 149390 +4r6K 149391 +5IQ= 149392 +5ISA 149393 +8JOQ 149394 +8JOQjQ== 149395 +8J+Opg== 149396 +4oKv 149397 +4oqY 149398 +4oSN 149399 +yrU= 149400 +0bY= 149401 +2oM= 149402 +4KaU 149403 +4LSm 149404 +4Y62 149405 +4ZOV 149406 +4bmo 149407 +4oKg 149408 +4oew 149409 +4peS 149410 +4r+K 149411 +6rex 149412 +7LmV 149413 +7Yip 149414 +762A 149415 +8J2SuA== 149416 +8J2Tig== 149417 +8J2YqQ== 149418 +x6Y= 149419 +yas= 149420 +4Yqo 149421 +yLk= 149422 +yq8= 149423 +zqo= 149424 +2oA= 149425 +4Yy4 149426 +4Y67 149427 +4Y+V 149428 +4Y+0 149429 +4bKC 149430 +4b2o 149431 +4o+d 149432 +4piZ 149433 +64Oo 149434 +64S8 149435 +64iZ 149436 +66OF 149437 +7JS8 149438 +7JWd 149439 +7Jqs 149440 +7Jyx 149441 +76WC 149442 +76a5 149443 +76y5 149444 +762B 149445 +77OI 149446 +8J2UhQ== 149447 +8J2YpA== 149448 +8J2Zjw== 149449 +8J2ZmQ== 149450 +8J+ViQ== 149451 +8J+nmQ== 149452 +4biR 149453 +6rS8 149454 +64GN 149455 +65e0 149456 +652z 149457 +67Ce 149458 +67Ci 149459 +67WY 149460 +7IKU 149461 +7ISE 149462 +7Lya 149463 +7YCg 149464 +7Yqx 149465 +7YyW 149466 +76SR 149467 +76a0 149468 +76a4 149469 +77SN 149470 +8J2Ytw== 149471 +xKw= 149472 +xaw= 149473 +xoA= 149474 +xos= 149475 +xpw= 149476 +x5E= 149477 +x5g= 149478 +x54= 149479 +x6U= 149480 +x64= 149481 +ybA= 149482 +ybY= 149483 +ybc= 149484 +yb0= 149485 +yog= 149486 +ypA= 149487 +y44= 149488 +y58= 149489 +y6Y= 149490 +y68= 149491 +z5A= 149492 +z5M= 149493 +z6I= 149494 +z6Q= 149495 +z6o= 149496 +z60= 149497 +z64= 149498 +z7s= 149499 +0aA= 149500 +0a0= 149501 +0qg= 149502 +050= 149503 +1KE= 149504 +1Lc= 149505 +1Yk= 149506 +1ZM= 149507 +1ZY= 149508 +1Zo= 149509 +1Z0= 149510 +1o4= 149511 +2L8= 149512 +2oU= 149513 +2o0= 149514 +2pQ= 149515 +24o= 149516 +274= 149517 +3Jk= 149518 +3ZI= 149519 +3Zg= 149520 +35I= 149521 +35Y= 149522 +4KSK 149523 +4KSQ 149524 +4KaP 149525 +4KaW 149526 +4Kef 149527 +4Kqu 149528 +4Kq5 149529 +4K6F 149530 +4K6G 149531 +4LCh 149532 +4LCw 149533 +4LKa 149534 +4LKu 149535 +4LKv 149536 +4LSf 149537 +4LS3 149538 +4LW+ 149539 +4LaR 149540 +4Lae 149541 +4Ly8 149542 +4L2T 149543 +4YCT 149544 +4YKm 149545 +4YOW 149546 +4YOt 149547 +4YOv 149548 +4YWo 149549 +4YWq 149550 +4Yaw 149551 +4YiB 149552 +4YiO 149553 +4YiT 149554 +4Yil 149555 +4Yiy 149556 +4Yi0 149557 +4Yi7 149558 +4Ymg 149559 +4Ymy 149560 +4Ym2 149561 +4Yqj 149562 +4Yql 149563 +4Yqq 149564 +4YuY 149565 +4Yuy 149566 +4Yu2 149567 +4Yyj 149568 +4Y2h 149569 +4Y2j 149570 +4Y6s 149571 +4Y6+ 149572 +4ZCh 149573 +4ZWV 149574 +4Zax 149575 +4ZeQ 149576 +4Zet 149577 +4ZiJ 149578 +4Zqx 149579 +4Zuf 149580 +4Z6l 149581 +4Z+U 149582 +4aCj 149583 +4aCq 149584 +4aCw 149585 +4aC0 149586 +4aSW 149587 +4aWj 149588 +4a4= 149589 +4a6g 149590 +4a8= 149591 +4a+Z 149592 +4bA= 149593 +4bCN 149594 +4bSK 149595 +4bS+ 149596 +4bWB 149597 +4bWO 149598 +4bWe 149599 +4bWk 149600 +4baF 149601 +4baY 149602 +4baf 149603 +4bai 149604 +4bak 149605 +4bax 149606 +4ba7 149607 +4biJ 149608 +4bie 149609 +4bi6 149610 +4bmT 149611 +4bmX 149612 +4bmq 149613 +4bqK 149614 +4bqP 149615 +4bqb 149616 +4byD 149617 +4byM 149618 +4by/ 149619 +4b2C 149620 +4b2T 149621 +4b2X 149622 +4b2m 149623 +4b6x 149624 +4b60 149625 +4b+Y 149626 +4b+f 149627 +4b+4 149628 +4oGY 149629 +4oKR 149630 +4oKb 149631 +4oK/ 149632 +4oSH 149633 +4oSe 149634 +4oSx 149635 +4oef 149636 +4oey 149637 +4oik 149638 +4oi2 149639 +4omC 149640 +4om+ 149641 +4oqo 149642 +4oqz 149643 +4oq3 149644 +4ouM 149645 +4ouY 149646 +4oyV 149647 +4oyl 149648 +4oy1 149649 +4oy6 149650 +4o2j 149651 +4o2y 149652 +4o21 149653 +4o6H 149654 +4o+D 149655 +4o+Q 149656 +4o+g 149657 +4o+k 149658 +4o+2 149659 +4o+4 149660 +4o+5 149661 +4pGC 149662 +4pK3 149663 +4pK6 149664 +4pOh 149665 +4pOk 149666 +4pS+ 149667 +4paY 149668 +4pa1 149669 +4peq 149670 +4pe3 149671 +4pio 149672 +4pir 149673 +4piy 149674 +4piz 149675 +4pmG 149676 +4pqk 149677 +4pql 149678 +4puT 149679 +4pu0 149680 +4pu+ 149681 +4p6r 149682 +4p6/ 149683 +4p+3 149684 +4qSR 149685 +4qSr 149686 +4qS2 149687 +4qS9 149688 +4qeq 149689 +4qiA 149690 +4qm9 149691 +4qyh 149692 +4qyi 149693 +4qyk 149694 +4rKW 149695 +4rKq 149696 +4rWA 149697 +4riu 149698 +4ri9 149699 +44Cg 149700 +44C3 149701 +44SM 149702 +44SY 149703 +44WR 149704 +44iO 149705 +44iQ 149706 +44qc 149707 +44yT 149708 +44yg 149709 +446f 149710 +446k 149711 +446n 149712 +46yu 149713 +5Ig= 149714 +5IiA 149715 +5LA= 149716 +5LCA 149717 +6oU= 149718 +6oWJ 149719 +6oeX 149720 +6og= 149721 +6oiN 149722 +6qeC 149723 +6qeK 149724 +6qqA 149725 +6rKI 149726 +6rKN 149727 +6rOA 149728 +6rWg 149729 +6r2Q 149730 +6r6I 149731 +6r+x 149732 +64OP 149733 +64SR 149734 +64Wk 149735 +64e4 149736 +64i8 149737 +64mF 149738 +64qj 149739 +64u6 149740 +642e 149741 +65CM 149742 +65W4 149743 +65ig 149744 +65mH 149745 +65mI 149746 +65y9 149747 +656U 149748 +66Cc 149749 +66OQ 149750 +66eA 149751 +66eK 149752 +66qA 149753 +66yt 149754 +66++ 149755 +67Oc 149756 +67SK 149757 +67WJ 149758 +67ec 149759 +67iA 149760 +67mL 149761 +7IGE 149762 +7IKj 149763 +7IK7 149764 +7IS1 149765 +7IWS 149766 +7ImI 149767 +7ImU 149768 +7IqM 149769 +7IqZ 149770 +7JC0 149771 +7JO6 149772 +7JWa 149773 +7JW6 149774 +7Jac 149775 +7Jeq 149776 +7Jic 149777 +7Jmk 149778 +7Jqb 149779 +7Jq6 149780 +7J2F 149781 +7J2P 149782 +7J2t 149783 +7J22 149784 +7KCb 149785 +7KGI 149786 +7KKJ 149787 +7KKU 149788 +7Kmg 149789 +7K2M 149790 +7K+p 149791 +7LSj 149792 +7LiV 149793 +7Lmf 149794 +7L6h 149795 +7L+Z 149796 +7YGH 149797 +7YGJ 149798 +7YeA 149799 +7Yi2 149800 +7ZaR 149801 +7Zak 149802 +7ZeF 149803 +7ZyP 149804 +7Z2d 149805 +76SS 149806 +76SV 149807 +76Ss 149808 +76WF 149809 +76WH 149810 +76WP 149811 +76Wa 149812 +76Wf 149813 +76aE 149814 +76aI 149815 +76ao 149816 +76ap 149817 +76ay 149818 +76eB 149819 +76eD 149820 +76eU 149821 +76eg 149822 +76ej 149823 +76eu 149824 +762Q 149825 +762W 149826 +762m 149827 +7620 149828 +7621 149829 +7622 149830 +7624 149831 +766M 149832 +766O 149833 +766e 149834 +766f 149835 +766h 149836 +766q 149837 +76+U 149838 +76+X 149839 +76+a 149840 +76+b 149841 +76+d 149842 +76+f 149843 +76+n 149844 +76+o 149845 +76+r 149846 +76+v 149847 +76+w 149848 +76+x 149849 +76+y 149850 +76+z 149851 +76+0 149852 +76+1 149853 +76+2 149854 +77CA 149855 +77GF 149856 +77GU 149857 +77G0 149858 +77KB 149859 +77OV 149860 +77e9 149861 +77iV 149862 +77ix 149863 +77mj 149864 +77m9 149865 +77uN 149866 +776x 149867 +8J2QmQ== 149868 +8J2QvQ== 149869 +8J2RpA== 149870 +8J2Rrg== 149871 +8J2RtQ== 149872 +8J2Sgw== 149873 +8J2ShA== 149874 +8J2TrQ== 149875 +8J2Ttw== 149876 +8J2Ulg== 149877 +8J2Ung== 149878 +8J2Uog== 149879 +8J2Upg== 149880 +8J2UrA== 149881 +8J2VhA== 149882 +8J2Vig== 149883 +8J2Vjg== 149884 +8J2VmQ== 149885 +8J2VnA== 149886 +8J2VrQ== 149887 +8J2Vsw== 149888 +8J2VuA== 149889 +8J2Vvg== 149890 +8J2WiQ== 149891 +8J2Wjw== 149892 +8J2Yhw== 149893 +8J2YiQ== 149894 +8J2Ylg== 149895 +8J2Ymw== 149896 +8J2Yng== 149897 +8J2Yqw== 149898 +8J2Yvg== 149899 +8J2Zhw== 149900 +8J2ZiQ== 149901 +8J2Ziw== 149902 +8J2Zjg== 149903 +8J2ZmA== 149904 +8J2ZpQ== 149905 +8J2agw== 149906 +8J2akA== 149907 +8J2alA== 149908 +8J2cgw== 149909 +8J+Etw== 149910 +8J+FnQ== 149911 +8J+Fvg== 149912 +8J+Ggg== 149913 +8J+Gkw== 149914 +8J+Mgg== 149915 +8J+Mhg== 149916 +8J+MiQ== 149917 +8J+MkQ== 149918 +8J+MmA== 149919 +8J+MqQ== 149920 +8J+Mqw== 149921 +8J+Nog== 149922 +8J+NpQ== 149923 +8J+Omw== 149924 +8J+Oog== 149925 +8J+OtA== 149926 +8J+RoQ== 149927 +8J+Svg== 149928 +8J+TrQ== 149929 +8J+UiA== 149930 +8J+Upg== 149931 +8J+Usg== 149932 +8J+Usw== 149933 +8J+Vkw== 149934 +8J+VlQ== 149935 +8J+VmA== 149936 +8J+Vnw== 149937 +8J+Vtw== 149938 +8J+Xsw== 149939 +8J+ahA== 149940 +8J+alA== 149941 +8J+alg== 149942 +8J+bkA== 149943 +8J+bpA== 149944 +8J+buA== 149945 +8J+g 149946 +8J+gsw== 149947 +8J+kuQ== 149948 +8J+lgw== 149949 +8J+lqA== 149950 +8J+lqg== 149951 +8J+lvg== 149952 +8J+mgw== 149953 +8J+mkg== 149954 +8J+mmQ== 149955 +8J+mtg== 149956 +8J+noA== 149957 +8J+nqg== 149958 +8J+nrQ== 149959 +8J+nsg== 149960 +8KO3 149961 +8KO3rQ== 149962 +8KaY 149963 +8KaYkg== 149964 +xpE= 149965 +x5k= 149966 +yK4= 149967 +2KA= 149968 +2oQ= 149969 +3IA= 149970 +36I= 149971 +4YmA 149972 +4YqQ 149973 +4Y6g 149974 +4bqe 149975 +64ie 149976 +65Wf 149977 +66OB 149978 +66SX 149979 +7ISl 149980 +7IWR 149981 +7JaQ 149982 +7Jub 149983 +7KOV 149984 +7Y6P 149985 +7ZuT 149986 +76W6 149987 +77Ob 149988 +77Sr 149989 +8Jan 149990 +8Jantw== 149991 +8J2VgQ== 149992 +8J+Qqg== 149993 +8J+SiA== 149994 +8J+ToA== 149995 +8J+Vmw== 149996 +8J+VtA== 149997 +0Z0= 149998 +04o= 149999 +4KWy 150000 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150073 +8J2RiA== 150074 +8J2RrA== 150075 +8J2RuQ== 150076 +8J2Svg== 150077 +8J2TsQ== 150078 +8J2TvQ== 150079 +8J2Vrw== 150080 +8J2Vuw== 150081 +8J2YvQ== 150082 +8J2ahg== 150083 +8J+EsA== 150084 +8J+QqA== 150085 +0pU= 150086 +4LKF 150087 +76iG 150088 +8J2RsA== 150089 +8J+EuA== 150090 +1I4= 150091 +2I0= 150092 +2bU= 150093 +4LK2 150094 +4YCI 150095 +4ZiX 150096 +4aC4 150097 +4aGh 150098 +4aiy 150099 +4amB 150100 +4bS3 150101 +4bWn 150102 +4pWo 150103 +4pqB 150104 +4r6d 150105 +44C8 150106 +44SP 150107 +6pKr 150108 +6qal 150109 +6qap 150110 +6qay 150111 +7Ji8 150112 +7ZOQ 150113 +8JOH 150114 +8JOHvA== 150115 +8J2Vvw== 150116 +8J+btA== 150117 +66ic 150118 +4LK1 150119 +4LSO 150120 +4LyA 150121 +4oeW 150122 +44ir 150123 +4pOA 150124 +4YW0 150125 +4Zq+ 150126 +4Zue 150127 +4Zur 150128 +4aW0 150129 +4oab 150130 +4oa2 150131 +4oek 150132 +4pWf 150133 +4pi3 150134 +4pqQ 150135 +8J+ntA== 150136 +4bmz 150137 +4pSN 150138 +4pSS 150139 +4pSp 150140 +4pSm 150141 +4r61 150142 +4Kqc 150143 +4Kqk 150144 +4oeZ 150145 +4pSx 150146 +4pWA 150147 +4r2K 150148 +772f 150149 +4Kyh 150150 +8KCu 150151 +8KCutw== 150152 +4pWD 150153 +4rCU 150154 +44qm 150155 +8J+OkA== 150156 +44ew 150157 +4ryd 150158 +4r6U 150159 +4r2S 150160 +4qCS 150161 +76im 150162 +76mS 150163 +76iy 150164 +76mW 150165 +8JOPuA== 150166 +44yD 150167 +8Jak 150168 +8JakkA== 150169 +76at 150170 +4oqF 150171 +4r6z 150172 +5LSl 150173 +76mV 150174 +8J+MlA== 150175 +4Z6L 150176 +4pqN 150177 +4ryL 150178 +446Y 150179 +8JCMsg== 150180 +yak= 150181 +4Y6R 150182 +4oau 150183 +4oeD 150184 +4pqO 150185 +44ex 150186 +44up 150187 +44y2 150188 +6pmq 150189 +646s 150190 +76iQ 150191 +76ib 150192 +76mK 150193 +76mN 150194 +8JOF 150195 +8JOFug== 150196 +z6E= 150197 +yJE= 150198 +yYI= 150199 +1JM= 150200 +344= 150201 +4LSn 150202 +4YCJ 150203 +4YCL 150204 +4YCR 150205 +4YCg 150206 +4ZqZ 150207 +4aiE 150208 +4aip 150209 +4ai5 150210 +4amT 150211 +4ayc 150212 +4bSZ 150213 +4bWR 150214 +4oKt 150215 +4oaw 150216 +4pyB 150217 +4r2Q 150218 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+04c= 150371 +040= 150372 +05Y= 150373 +058= 150374 +06s= 150375 +07E= 150376 +1IY= 150377 +1Ic= 150378 +1Lo= 150379 +1Ys= 150380 +1ok= 150381 +2Ig= 150382 +2Io= 150383 +2L0= 150384 +2L4= 150385 +2bc= 150386 +2oI= 150387 +2oo= 150388 +2pY= 150389 +2pc= 150390 +2qM= 150391 +2qs= 150392 +2rg= 150393 +24A= 150394 +240= 150395 +270= 150396 +3Ik= 150397 +3KQ= 150398 +3ac= 150399 +3bQ= 150400 +3oM= 150401 +3qQ= 150402 +3qU= 150403 +35o= 150404 +35s= 150405 +36Q= 150406 +4KCN 150407 +4KCT 150408 +4KCz 150409 +4KGi 150410 +4KWg 150411 +4Keg 150412 +4Ke6 150413 +4KiK 150414 +4KiQ 150415 +4Kiu 150416 +4Kiv 150417 +4Kiw 150418 +4Ki4 150419 +4KqG 150420 +4Kqz 150421 +4Kq1 150422 +4Kq9 150423 +4KyM 150424 +4KyY 150425 +4Ky9 150426 +4K6D 150427 +4K64 150428 +4LCG 150429 +4LCV 150430 +4LCm 150431 +4LKG 150432 +4LKK 150433 +4LKM 150434 +4LKQ 150435 +4LKb 150436 +4LKk 150437 +4LKm 150438 +4LKq 150439 +4LKy 150440 +4LK5 150441 +4LSG 150442 +4LSP 150443 +4LSX 150444 +4LSr 150445 +4LS5 150446 +4LW6 150447 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= ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "b9565237c801f9838ea6e340c22709d1ce700845d1e5a374f27bd6c6ea9dceb8" +content-hash = "5f75ef7e19ad8e0d3e5f36b3368081cf355473e9b5b1120df1072cf390a9f1d1" diff --git a/pyproject.toml b/pyproject.toml index 8441c5da..3d64dde8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -75,6 +75,7 @@ markdown = "^3.6" chardet = "^5.2.0" locust = "^2.29.0" gunicorn = "^22.0.0" +umap-learn = "^0.5.6" protobuf = "3.20.0" modelscope = "^1.16.0" llama-index-multi-modal-llms-dashscope = "^0.1.2" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index 8d045cb6..7b4ad0fe 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -67,6 +67,7 @@ markdown = "^3.6" chardet = "^5.2.0" locust = "^2.29.0" gunicorn = "^22.0.0" +umap-learn = "^0.5.6" protobuf = "3.20.0" modelscope = "^1.16.0" llama-index-multi-modal-llms-dashscope = "^0.1.2" diff --git a/src/pai_rag/app/api/models.py b/src/pai_rag/app/api/models.py index c0a85ee3..2c19fa74 100644 --- a/src/pai_rag/app/api/models.py +++ b/src/pai_rag/app/api/models.py @@ -53,3 +53,4 @@ class RagResponse(BaseModel): class DataInput(BaseModel): file_path: str enable_qa_extraction: bool = False + enable_raptor: bool = False diff --git a/src/pai_rag/app/api/query.py b/src/pai_rag/app/api/query.py index b791ad80..a29e200d 100644 --- a/src/pai_rag/app/api/query.py +++ b/src/pai_rag/app/api/query.py @@ -101,6 +101,7 @@ async def generate_qa_dataset(overwrite: bool = False): async def upload_data( files: List[UploadFile], faiss_path: str = Form(None), + enable_raptor: bool = Form(False), background_tasks: BackgroundTasks = BackgroundTasks(), ): task_id = uuid.uuid4().hex @@ -127,6 +128,7 @@ async def upload_data( filter_pattern=None, faiss_path=faiss_path, enable_qa_extraction=False, + enable_raptor=enable_raptor, ) return {"task_id": task_id} diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 177cab42..fb129f00 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -196,7 +196,9 @@ def query_vector(self, text: str): response["result"] = formatted_text yield response - def add_knowledge(self, input_files: str, enable_qa_extraction: bool): + def add_knowledge( + self, input_files: str, enable_qa_extraction: bool, enable_raptor: bool + ): files = [] file_obj_list = [] for file_name in input_files: @@ -204,10 +206,13 @@ def add_knowledge(self, input_files: str, enable_qa_extraction: bool): mimetype = mimetypes.guess_type(file_name)[0] files.append(("files", (os.path.basename(file_name), file_obj, mimetype))) file_obj_list.append(file_obj) - + para = {"enable_raptor": enable_raptor} try: r = requests.post( - self.load_data_url, files=files, timeout=DEFAULT_CLIENT_TIME_OUT + self.load_data_url, + files=files, + data=para, + timeout=DEFAULT_CLIENT_TIME_OUT, ) response = dotdict(json.loads(r.text)) if r.status_code != HTTPStatus.OK: diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index f8f473cf..e47f3f98 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -8,7 +8,9 @@ import asyncio -def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extraction): +def upload_knowledge( + upload_files, chunk_size, chunk_overlap, enable_qa_extraction, enable_raptor +): if not upload_files: return @@ -28,13 +30,9 @@ def upload_knowledge(upload_files, chunk_size, chunk_overlap, enable_qa_extracti ), ] - try: - response = rag_client.add_knowledge( - [file.name for file in upload_files], enable_qa_extraction - ) - except RagApiError as api_error: - raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") - + response = rag_client.add_knowledge( + [file.name for file in upload_files], enable_qa_extraction, enable_raptor + ) my_upload_files = [] for file in upload_files: my_upload_files.append( @@ -94,6 +92,11 @@ def create_upload_tab() -> Dict[str, Any]: info="Process with QA Extraction Model", elem_id="enable_qa_extraction", ) + enable_raptor = gr.Checkbox( + label="Yes", + info="Process with Raptor Node Enhancement", + elem_id="enable_raptor", + ) with gr.Column(scale=8): with gr.Tab("Files"): upload_file = gr.File( @@ -121,6 +124,7 @@ def create_upload_tab() -> Dict[str, Any]: chunk_size, chunk_overlap, enable_qa_extraction, + enable_raptor, ], outputs=[upload_file_state_df, upload_file_state], api_name="upload_knowledge", @@ -132,6 +136,7 @@ def create_upload_tab() -> Dict[str, Any]: chunk_size, chunk_overlap, enable_qa_extraction, + enable_raptor, ], outputs=[upload_dir_state_df, upload_dir_state], api_name="upload_knowledge_dir", @@ -140,4 +145,5 @@ def create_upload_tab() -> Dict[str, Any]: chunk_size.elem_id: chunk_size, chunk_overlap.elem_id: chunk_overlap, enable_qa_extraction.elem_id: enable_qa_extraction, + enable_raptor.elem_id: enable_raptor, } diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index 4a668ea7..cf1ff686 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -51,6 +51,7 @@ class ViewModel(BaseModel): # reader reader_type: str = "SimpleDirectoryReader" enable_qa_extraction: bool = False + enable_raptor: bool = False config_file: str = None @@ -209,6 +210,9 @@ def from_app_config(config): view_model.enable_qa_extraction = config["data_reader"].get( "enable_qa_extraction", view_model.enable_qa_extraction ) + view_model.enable_raptor = config["data_reader"].get( + "enable_raptor", view_model.enable_raptor + ) view_model.similarity_top_k = config["retriever"].get("similarity_top_k", 5) if config["retriever"]["retrieval_mode"] == "hybrid": @@ -280,6 +284,7 @@ def to_app_config(self): config["node_parser"]["chunk_overlap"] = int(self.chunk_overlap) config["data_reader"]["enable_qa_extraction"] = self.enable_qa_extraction + config["data_reader"]["enable_raptor"] = self.enable_raptor config["data_reader"]["type"] = self.reader_type if self.vectordb_type == "Hologres": @@ -444,6 +449,7 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["chunk_size"] = {"value": self.chunk_size} settings["chunk_overlap"] = {"value": self.chunk_overlap} settings["enable_qa_extraction"] = {"value": self.enable_qa_extraction} + settings["enable_raptor"] = {"value": self.enable_raptor} # retrieval and rerank settings["retrieval_mode"] = {"value": self.retrieval_mode} diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml index b313fc05..754944b0 100644 --- a/src/pai_rag/config/settings.toml +++ b/src/pai_rag/config/settings.toml @@ -32,7 +32,7 @@ embed_batch_size = 10 [rag.evaluation] retrieval = ["mrr", "hit_rate"] response_label = true -response = ["Faithfulness", "Answer Relevancy", "Guideline Adherence", "Correctness", "Semantic Similarity"] +response = ["Faithfulness", "Answer Relevancy", "Correctness", "Semantic Similarity"] [rag.function_calling_llm] source = "" @@ -56,6 +56,11 @@ type = "SimpleChatEngine" [rag.multi_modal_llm] source = "" +[rag.node_enhancement] +tree_depth = 3 +max_clusters = 52 +proba_threshold = 0.10 + [rag.node_parser] type = "Sentence" chunk_size = 500 diff --git a/src/pai_rag/core/rag_application.py b/src/pai_rag/core/rag_application.py index 479b234e..e3d0fe88 100644 --- a/src/pai_rag/core/rag_application.py +++ b/src/pai_rag/core/rag_application.py @@ -57,6 +57,7 @@ async def aload_knowledge( filter_pattern=None, faiss_path=None, enable_qa_extraction=False, + enable_raptor=False, ): sessioned_config = self.config if faiss_path: @@ -69,7 +70,9 @@ async def aload_knowledge( data_loader = module_registry.get_module_with_config( "DataLoaderModule", sessioned_config ) - await data_loader.aload(input_files, filter_pattern, enable_qa_extraction) + await data_loader.aload( + input_files, filter_pattern, enable_qa_extraction, enable_raptor + ) async def aquery_retrieval(self, query: RetrievalQuery) -> RetrievalResponse: if not query.question: diff --git a/src/pai_rag/core/rag_service.py b/src/pai_rag/core/rag_service.py index 70890da6..0f5dbdbf 100644 --- a/src/pai_rag/core/rag_service.py +++ b/src/pai_rag/core/rag_service.py @@ -101,13 +101,18 @@ async def add_knowledge_async( filter_pattern: str = None, faiss_path: str = None, enable_qa_extraction: bool = False, + enable_raptor: bool = False, ): self.check_updates() with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id}\tprocessing\n") try: await self.rag.aload_knowledge( - input_files, filter_pattern, faiss_path, enable_qa_extraction + input_files, + filter_pattern, + faiss_path, + enable_qa_extraction, + enable_raptor, ) with open(TASK_STATUS_FILE, "a") as f: f.write(f"{task_id}\tcompleted\n") diff --git a/src/pai_rag/data/rag_dataloader.py b/src/pai_rag/data/rag_dataloader.py index ee29ffe9..6695230d 100644 --- a/src/pai_rag/data/rag_dataloader.py +++ b/src/pai_rag/data/rag_dataloader.py @@ -3,6 +3,7 @@ import os from typing import Any, Dict, List from fastapi.concurrency import run_in_threadpool +import asyncio from llama_index.core import Settings from llama_index.core.schema import TextNode from llama_index.llms.huggingface import HuggingFaceLLM @@ -38,6 +39,7 @@ def __init__( index, bm25_index, oss_cache, + node_enhance, use_local_qa_model=False, ): self.datareader_factory = datareader_factory @@ -45,6 +47,7 @@ def __init__( self.oss_cache = oss_cache self.index = index self.bm25_index = bm25_index + self.node_enhance = node_enhance if use_local_qa_model: # API暂不支持此选项 @@ -147,6 +150,7 @@ def load( file_path: str | List[str], filter_pattern: str, enable_qa_extraction: bool, + enable_raptor: bool, ): nodes = self._get_nodes(file_path, filter_pattern, enable_qa_extraction) @@ -155,7 +159,20 @@ def load( return logger.info("[DataReader] Start inserting to index.") - self.index.vector_index.insert_nodes(nodes) + + if enable_raptor: + nodes_with_embeddings, len_new_nodes = asyncio.run( + self.node_enhance.enhance_nodes(nodes=nodes) + ) + self.index.vector_index.insert_nodes(nodes_with_embeddings) + + logger.info( + f"Inserted {len(nodes)} and enhanced {len_new_nodes} nodes successfully." + ) + else: + self.index.vector_index.insert_nodes(nodes) + logger.info(f"Inserted {len(nodes)} nodes successfully.") + self.index.vector_index.storage_context.persist( persist_dir=self.index.persist_path ) @@ -167,7 +184,6 @@ def load( with open(index_metadata_file, "w") as wf: wf.write(metadata_str) - logger.info(f"Inserted {len(nodes)} nodes successfully.") return async def aload( @@ -175,6 +191,7 @@ async def aload( file_path: str | List[str], filter_pattern: str, enable_qa_extraction: bool, + enable_raptor: bool, ): nodes = await run_in_threadpool( lambda: self._get_nodes(file_path, filter_pattern, enable_qa_extraction) @@ -184,7 +201,22 @@ async def aload( return logger.info("[DataReader] Start inserting to index.") - await self.index.vector_index.insert_nodes_async(nodes) + + if enable_raptor: + ( + nodes_with_embeddings, + len_new_nodes, + ) = await self.node_enhance.enhance_nodes(nodes=nodes) + self.index.vector_index.insert_nodes_async(nodes_with_embeddings) + + logger.info( + f"Inserted {len(nodes)} and enhanced {len_new_nodes} nodes successfully." + ) + + else: + await self.index.vector_index.insert_nodes_async(nodes) + logger.info(f"Inserted {len(nodes)} nodes successfully.") + self.index.vector_index.storage_context.persist( persist_dir=self.index.persist_path ) @@ -196,7 +228,6 @@ async def aload( with open(index_metadata_file, "w") as wf: wf.write(metadata_str) - logger.info(f"Inserted {len(nodes)} nodes successfully.") return def load_eval_data(self, name: str): diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 69d1f2e3..0f26332c 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -24,6 +24,7 @@ async def ingest_from_input_path( input_path: str, pattern: str, enable_qa_extraction: bool, + enable_raptor: bool, name: str = None, ): if not name: @@ -34,7 +35,9 @@ async def ingest_from_input_path( input_paths = input_path else: input_paths = [file.strip() for file in input_path.split(",")] - self.data_loader.load(input_paths, pattern, enable_qa_extraction) + self.data_loader.load( + input_paths, pattern, enable_qa_extraction, enable_raptor + ) else: self.data_loader.load_eval_data(name) @@ -83,6 +86,15 @@ def __init_data_pipeline(config_file, use_local_qa_model): default=False, help="use local qa extraction model.", ) +@click.option( + "-r", + "--enable-raptor", + required=False, + is_flag=True, + show_default=True, + default=False, + help="use raptor for node enhancement.", +) @click.option( "-n", "--name", @@ -90,8 +102,12 @@ def __init_data_pipeline(config_file, use_local_qa_model): help="Open Dataset Name. Optional: [miracl, duretrieval]", default=None, ) -def run(config, data_path, pattern, extract_qa, use_local_qa_model, name): +def run( + config, data_path, pattern, extract_qa, use_local_qa_model, enable_raptor, name +): data_pipeline = __init_data_pipeline(config, use_local_qa_model) asyncio.run( - data_pipeline.ingest_from_input_path(data_path, pattern, extract_qa, name) + data_pipeline.ingest_from_input_path( + data_path, pattern, extract_qa, enable_raptor, name + ) ) diff --git a/src/pai_rag/integrations/llms/dashscope/base.py b/src/pai_rag/integrations/llms/dashscope/base.py index 4a9b5f82..072e84d6 100644 --- a/src/pai_rag/integrations/llms/dashscope/base.py +++ b/src/pai_rag/integrations/llms/dashscope/base.py @@ -40,27 +40,30 @@ class DashScopeGenerationModels: DASHSCOPE_MODEL_META = { DashScopeGenerationModels.QWEN_TURBO: { - "context_window": 1024 * 8, + "context_window": 1024 + * ( + 8 - 2 + ), # https://help.aliyun.com/zh/model-studio/developer-reference/what-is-tongyi-qianwen-llm "num_output": 1024 * 8, "is_chat_model": True, }, DashScopeGenerationModels.QWEN_PLUS: { - "context_window": 1024 * 32, + "context_window": 1024 * (32 - 2), "num_output": 1024 * 32, "is_chat_model": True, }, DashScopeGenerationModels.QWEN_MAX: { - "context_window": 1024 * 8, + "context_window": 1024 * (8 - 2), "num_output": 1024 * 8, "is_chat_model": True, }, DashScopeGenerationModels.QWEN_MAX_1201: { - "context_window": 1024 * 8, + "context_window": 1024 * (8 - 2), "num_output": 1024 * 8, "is_chat_model": True, }, DashScopeGenerationModels.QWEN_MAX_LONGCONTEXT: { - "context_window": 1024 * 30, + "context_window": 1024 * (30 - 2), "num_output": 1024 * 30, "is_chat_model": True, }, diff --git a/src/pai_rag/integrations/nodes/raptor_clusters.py b/src/pai_rag/integrations/nodes/raptor_clusters.py new file mode 100644 index 00000000..ddc0df6e --- /dev/null +++ b/src/pai_rag/integrations/nodes/raptor_clusters.py @@ -0,0 +1,186 @@ +""" +Minorly tweaked from https://github.com/parthsarthi03/raptor/blob/master/raptor/cluster_tree_builder.py. +Tokenizer supports Chinese +""" +import os +import numpy as np +import random +import umap +from sklearn.mixture import GaussianMixture +from typing import Dict, List, Optional + +from llama_index.core.schema import BaseNode + +from pai_rag.utils.constants import DEFAULT_DATAFILE_DIR +from pai_rag.utils.tokenization_qwen import QWenTokenizer + + +VOCAB_FILE = os.path.join(DEFAULT_DATAFILE_DIR, "tokenization/qwen.tiktoken") + +# Set a random seed for reproducibility +RANDOM_SEED = 224 +random.seed(RANDOM_SEED) + + +def global_cluster_embeddings( + embeddings: np.ndarray, + dim: int, + n_neighbors: Optional[int] = None, + metric: str = "cosine", +) -> np.ndarray: + if n_neighbors is None: + n_neighbors = int((len(embeddings) - 1) ** 0.5) + return umap.UMAP( + n_neighbors=n_neighbors, n_components=dim, metric=metric + ).fit_transform(embeddings) + + +def local_cluster_embeddings( + embeddings: np.ndarray, dim: int, num_neighbors: int = 10, metric: str = "cosine" +) -> np.ndarray: + return umap.UMAP( + n_neighbors=num_neighbors, n_components=dim, metric=metric + ).fit_transform(embeddings) + + +def get_optimal_clusters( + embeddings: np.ndarray, max_clusters: int, random_state: int = RANDOM_SEED +) -> int: + max_clusters = min(max_clusters, len(embeddings)) + n_clusters = np.arange(1, max_clusters) + bics = [] + for n in n_clusters: + gm = GaussianMixture(n_components=n, random_state=random_state) + gm.fit(embeddings) + bics.append(gm.bic(embeddings)) + return n_clusters[np.argmin(bics)] + + +def GMM_cluster( + embeddings: np.ndarray, max_clusters: int, threshold: float, random_state: int = 0 +): + n_clusters = get_optimal_clusters(embeddings, max_clusters) + gm = GaussianMixture(n_components=n_clusters, random_state=random_state) + gm.fit(embeddings) + probs = gm.predict_proba(embeddings) + labels = [np.where(prob > threshold)[0] for prob in probs] + return labels, n_clusters + + +def perform_clustering( + embeddings: np.ndarray, + max_clusters: int, + dim: int, + threshold: float, +) -> List[np.ndarray]: + # If the number of embeddings is less than or equal to the dimension, return a list of zeros + # This means all nodes are in the same cluster. + # Otherwise, we will get an error when trying to cluster. + if len(embeddings) <= dim + 1: + return [np.array([0]) for _ in range(len(embeddings))] + + reduced_embeddings_global = global_cluster_embeddings(embeddings, dim) + global_clusters, n_global_clusters = GMM_cluster( + reduced_embeddings_global, max_clusters, threshold + ) + + all_local_clusters = [np.array([]) for _ in range(len(embeddings))] + total_clusters = 0 + + for i in range(n_global_clusters): + global_cluster_embeddings_ = embeddings[ + np.array([i in gc for gc in global_clusters]) + ] + + if len(global_cluster_embeddings_) == 0: + continue + if len(global_cluster_embeddings_) <= dim + 1: + local_clusters = [np.array([0]) for _ in global_cluster_embeddings_] + n_local_clusters = 1 + else: + reduced_embeddings_local = local_cluster_embeddings( + global_cluster_embeddings_, dim + ) + local_clusters, n_local_clusters = GMM_cluster( + reduced_embeddings_local, max_clusters, threshold + ) + + for j in range(n_local_clusters): + local_cluster_embeddings_ = global_cluster_embeddings_[ + np.array([j in lc for lc in local_clusters]) + ] + indices = np.where( + (embeddings == local_cluster_embeddings_[:, None]).all(-1) + )[1] + for idx in indices: + all_local_clusters[idx] = np.append( + all_local_clusters[idx], j + total_clusters + ) + + total_clusters += n_local_clusters + + return all_local_clusters + + +def get_clusters( + nodes: List[BaseNode], + embedding_map: Dict[str, List[List[float]]], + max_length_in_cluster: int = 10000, # 10k tokens max per cluster + reduction_dimension: int = 10, + max_clusters: int = 50, + threshold: float = 0.1, + prev_total_length=None, # to keep track of the total length of the previous clusters +) -> List[List[BaseNode]]: + # get embeddings + embeddings = np.array([np.array(embedding_map[node.id_]) for node in nodes]) + + # Perform the clustering + clusters = perform_clustering( + embeddings, + max_clusters=max_clusters, + dim=reduction_dimension, + threshold=threshold, + ) + + # Initialize an empty list to store the clusters of nodes + node_clusters = [] + + # Iterate over each unique label in the clusters + for label in np.unique(np.concatenate(clusters)): + # Get the indices of the nodes that belong to this cluster + indices = [i for i, cluster in enumerate(clusters) if label in cluster] + + # Add the corresponding nodes to the node_clusters list + cluster_nodes = [nodes[i] for i in indices] + + # Base case: if the cluster only has one node, do not attempt to recluster it + if len(cluster_nodes) == 1: + node_clusters.append(cluster_nodes) + continue + + # Calculate the total length of the text in the nodes + + tokenizer_qwen = QWenTokenizer(VOCAB_FILE) + total_length = sum( + [len(tokenizer_qwen.encode(node.text)) for node in cluster_nodes] + ) + + # If the total length exceeds the maximum allowed length, recluster this cluster + # If the total length did not change from the previous call then don't try again to avoid infinite recursion! + if total_length > max_length_in_cluster and ( + prev_total_length is None or total_length < prev_total_length + ): + node_clusters.extend( + get_clusters( + cluster_nodes, + embedding_map, + max_length_in_cluster=max_length_in_cluster, + reduction_dimension=reduction_dimension, + threshold=threshold, + prev_total_length=total_length, + ) + ) + else: + node_clusters.append(cluster_nodes) + + return node_clusters diff --git a/src/pai_rag/integrations/nodes/raptor_nodes_enhance.py b/src/pai_rag/integrations/nodes/raptor_nodes_enhance.py new file mode 100644 index 00000000..874d270c --- /dev/null +++ b/src/pai_rag/integrations/nodes/raptor_nodes_enhance.py @@ -0,0 +1,194 @@ +from typing import List, Optional, Tuple + +import asyncio + +from llama_index.core import get_response_synthesizer +from llama_index.core.bridge.pydantic import BaseModel, Field +from llama_index.core.llms.llm import LLM +from llama_index.core.response_synthesizers import BaseSynthesizer +from llama_index.core.schema import ( + BaseNode, + NodeWithScore, + TextNode, +) +from pai_rag.integrations.nodes.raptor_clusters import get_clusters +from pai_rag.utils.prompt_template import DEFAULT_SUMMARY_PROMPT + +import logging + +logger = logging.getLogger(__name__) + + +class RaptorProcessor: + def __init__( + self, tree_depth: int, max_clusters: int, threshold: float, embed_model + ) -> None: + """get params from config""" + self.tree_depth = tree_depth + self.max_clusters = max_clusters + self.threshold = threshold + self.embed_model = embed_model + + async def enhance_nodes( + self, + nodes: List[BaseNode], + ) -> Tuple[List, int]: + """Given a set of nodes, this function inserts higher level of abstractions within the index. + + For later retrieval + + Args: + nodes (List[BaseNode]): List of nodes + index: created VectorStoreIndex + tree_depth: usually 2 or 3 + max_length_in_cluster: max token number in a cluster + max_clusters: max number of tokens set for BIC + threshold: probability threshold + """ + + embed_model = self.embed_model + summary_module = SummaryModule() + + cur_nodes = nodes + new_nodes_collection = [] + nodes_with_embeddings_collections = [] + for level in range(self.tree_depth): + # get the embeddings for the current documents + + logger.info(f"Generating embeddings for level {level}.") + + embeddings = await embed_model.aget_text_embedding_batch( + [node.get_content(metadata_mode="embed") for node in cur_nodes] + ) + assert len(embeddings) == len(cur_nodes) + id_to_embedding = { + node.id_: embedding for node, embedding in zip(cur_nodes, embeddings) + } + + logger.info(f"Performing clustering for level {level}.") + + # cluster the documents + nodes_per_cluster = get_clusters( + nodes=cur_nodes, + embedding_map=id_to_embedding, + max_clusters=self.max_clusters, + threshold=self.threshold, + ) + + logger.info( + f"Generating summaries for level {level} with {len(nodes_per_cluster)} clusters." + ) + summaries_per_cluster = await summary_module.generate_summaries( + documents_per_cluster=nodes_per_cluster + ) + + logger.info( + f"Level {level} created summaries/clusters: {len(nodes_per_cluster)}" + ) + + # replace the current nodes with their summaries + new_nodes = [ + TextNode( + text=summary, + metadata={"level": level}, + excluded_embed_metadata_keys=["level"], + excluded_llm_metadata_keys=["level"], + ) + for summary in summaries_per_cluster + ] + new_nodes_collection.extend(new_nodes) + + # insert the nodes with their embeddings and parent_id + nodes_with_embeddings = [] + for cluster, summary_doc in zip(nodes_per_cluster, new_nodes): + for node in cluster: + node.metadata["parent_id"] = summary_doc.id_ + node.excluded_embed_metadata_keys.append("parent_id") + node.excluded_llm_metadata_keys.append("parent_id") + node.embedding = id_to_embedding[node.id_] + nodes_with_embeddings.append(node) + + nodes_with_embeddings_collections.append(nodes_with_embeddings) + + # set the current nodes to the new nodes + cur_nodes = new_nodes + + if level == self.tree_depth - 1: + embeddings = await embed_model.aget_text_embedding_batch( + [node.get_content(metadata_mode="embed") for node in cur_nodes] + ) + assert len(embeddings) == len(cur_nodes) + id_to_embedding = { + node.id_: embedding + for node, embedding in zip(cur_nodes, embeddings) + } + for node in cur_nodes: + node.metadata["parent_id"] = "" + node.excluded_embed_metadata_keys.append("parent_id") + node.excluded_llm_metadata_keys.append("parent_id") + node.embedding = id_to_embedding[node.id_] + nodes_with_embeddings_collections.append([node]) + + nodes_with_embeddings_collections = [ + k for i in nodes_with_embeddings_collections for k in i + ] + + return nodes_with_embeddings_collections, len(new_nodes_collection) + + +class SummaryModule(BaseModel): + response_synthesizer: BaseSynthesizer = Field(description="LLM") + summary_prompt: str = Field( + default=DEFAULT_SUMMARY_PROMPT, + description="Summary prompt.", + ) + num_workers: int = Field( + default=4, description="Number of workers to generate summaries." + ) + show_progress: bool = Field(default=True, description="Show progress.") + + class Config: + arbitrary_types_allowed = True + + def __init__( + self, + llm: Optional[LLM] = None, + summary_prompt: str = DEFAULT_SUMMARY_PROMPT, + num_workers: int = 4, + ) -> None: + response_synthesizer = get_response_synthesizer( + response_mode="tree_summarize", use_async=True, llm=llm + ) + super().__init__( + response_synthesizer=response_synthesizer, + summary_prompt=summary_prompt, + num_workers=num_workers, + ) + + async def generate_summaries( + self, documents_per_cluster: List[List[BaseNode]] + ) -> List[str]: + """Generate summaries of documents per cluster. + + Args: + documents_per_cluster (List[List[BaseNode]]): List of documents per cluster + + Returns: + List[str]: List of summary for each cluster + """ + jobs = [] + for documents in documents_per_cluster: + with_scores = [NodeWithScore(node=doc, score=1.0) for doc in documents] + jobs.append( + self.response_synthesizer.asynthesize(self.summary_prompt, with_scores) + ) + + lock = asyncio.Semaphore(self.num_workers) + responses = [] + + # run the jobs while limiting the number of concurrent jobs to num_workers + for job in jobs: + async with lock: + responses.append(await job) + + return [str(response) for response in responses] diff --git a/src/pai_rag/modules/__init__.py b/src/pai_rag/modules/__init__.py index 4f53950c..5fe77077 100644 --- a/src/pai_rag/modules/__init__.py +++ b/src/pai_rag/modules/__init__.py @@ -18,6 +18,7 @@ from pai_rag.modules.cache.oss_cache import OssCacheModule from pai_rag.modules.evaluation.evaluation import EvaluationModule from pai_rag.modules.index.bm25_index import BM25IndexModule +from pai_rag.modules.nodesenhance.nodes_enhancement import NodesEnhancementModule ALL_MODULES = [ @@ -41,6 +42,7 @@ "OssCacheModule", "EvaluationModule", "BM25IndexModule", + "NodesEnhancementModule", ] __all__ = ALL_MODULES + ["ALL_MODULES"] diff --git a/src/pai_rag/modules/datareader/data_loader.py b/src/pai_rag/modules/datareader/data_loader.py index 76b41470..9eb98a42 100644 --- a/src/pai_rag/modules/datareader/data_loader.py +++ b/src/pai_rag/modules/datareader/data_loader.py @@ -15,6 +15,7 @@ def get_dependencies() -> List[str]: "NodeParserModule", "IndexModule", "BM25IndexModule", + "NodesEnhancementModule", ] def _create_new_instance(self, new_params: Dict[str, Any]): @@ -23,7 +24,8 @@ def _create_new_instance(self, new_params: Dict[str, Any]): node_parser = new_params["NodeParserModule"] index = new_params["IndexModule"] bm25_index = new_params["BM25IndexModule"] + node_enhance = new_params["NodesEnhancementModule"] return RagDataLoader( - data_reader_factory, node_parser, index, bm25_index, oss_cache + data_reader_factory, node_parser, index, bm25_index, oss_cache, node_enhance ) diff --git a/src/pai_rag/modules/evaluation/pai_evaluator.py b/src/pai_rag/modules/evaluation/pai_evaluator.py index 2216ca12..eafa7030 100644 --- a/src/pai_rag/modules/evaluation/pai_evaluator.py +++ b/src/pai_rag/modules/evaluation/pai_evaluator.py @@ -157,14 +157,15 @@ async def abatch_retrieval_response_aevaluation( e.metric_vals_dict["hit_rate"] for e in eval_results["retrieval"] ] else: - df["hit_rate"] = "not selected" + df["hit_rate"] = None if "mrr" in self.retrieval_metrics: df["mrr"] = [ e.metric_vals_dict["mrr"] for e in eval_results["retrieval"] ] else: - df["mrr"] = "not selected" + df["mrr"] = None if type in ["response", "all"]: + df["response_answer"] = None if "Faithfulness" in self.response_metrics: df["faithfulness_score"] = [ e.score for e in eval_results["Faithfulness"] @@ -173,23 +174,35 @@ async def abatch_retrieval_response_aevaluation( e.response for e in eval_results["Faithfulness"] ] else: - df["faithfulness_score"] = "not selected" + df["faithfulness_score"] = None if "Answer Relevancy" in self.response_metrics: df["answer_relevancy_score"] = [ e.feedback for e in eval_results["Answer Relevancy"] ] + if df["response_answer"][0] is None: + df["response_answer"] = [ + e.response for e in eval_results["Answer Relevancy"] + ] else: - df["answer_relevancy_score"] = "not selected" + df["answer_relevancy_score"] = None if "Correctness" in self.response_metrics: df["correctness_score"] = [e.score for e in eval_results["Correctness"]] + if df["response_answer"][0] is None: + df["response_answer"] = [ + e.response for e in eval_results["Correctness"] + ] else: - df["correctness_score"] = "not selected" + df["correctness_score"] = None if "Semantic Similarity" in self.response_metrics: df["semantic_similarity_score"] = [ e.score for e in eval_results["Semantic Similarity"] ] + if df["response_answer"][0] is None: + df["response_answer"] = [ + e.response for e in eval_results["Correctness"] + ] else: - df["semantic_similarity_score"] = "not selected" + df["semantic_similarity_score"] = None if type == "retrieval": eval_res_avg = { diff --git a/src/pai_rag/modules/module_registry.py b/src/pai_rag/modules/module_registry.py index 328b6eb8..fb12a559 100644 --- a/src/pai_rag/modules/module_registry.py +++ b/src/pai_rag/modules/module_registry.py @@ -26,6 +26,7 @@ "OssCacheModule": "cache", "EvaluationModule": "evaluation", "BM25IndexModule": "bm25", + "NodesEnhancementModule": "node_enhancement", } diff --git a/src/pai_rag/modules/nodesenhance/nodes_enhancement.py b/src/pai_rag/modules/nodesenhance/nodes_enhancement.py new file mode 100644 index 00000000..4f5bc3e8 --- /dev/null +++ b/src/pai_rag/modules/nodesenhance/nodes_enhancement.py @@ -0,0 +1,24 @@ +from typing import Any, Dict, List +from pai_rag.modules.base.configurable_module import ConfigurableModule +from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG +from pai_rag.integrations.nodes.raptor_nodes_enhance import RaptorProcessor +import logging + +logger = logging.getLogger(__name__) + + +class NodesEnhancementModule(ConfigurableModule): + @staticmethod + def get_dependencies() -> List[str]: + return ["EmbeddingModule"] + + def _create_new_instance(self, new_params: Dict[str, Any]): + config = new_params[MODULE_PARAM_CONFIG] + self.embed_model = new_params["EmbeddingModule"] + + return RaptorProcessor( + tree_depth=config.get("tree_depth", 3), + max_clusters=config.get("max_clusters", 50), + threshold=config.get("proba_threshold", 0.1), + embed_model=self.embed_model, + ) diff --git a/src/pai_rag/utils/constants.py b/src/pai_rag/utils/constants.py index a6e20dc5..3f4834a4 100644 --- a/src/pai_rag/utils/constants.py +++ b/src/pai_rag/utils/constants.py @@ -18,3 +18,5 @@ OSS_URL = ( "https://pai-rag-bj.oss-cn-beijing.aliyuncs.com/model_repository/model_config.json" ) + +DEFAULT_DATAFILE_DIR = "./data" diff --git a/src/pai_rag/utils/prompt_template.py b/src/pai_rag/utils/prompt_template.py index 4984f63e..3f3684e9 100644 --- a/src/pai_rag/utils/prompt_template.py +++ b/src/pai_rag/utils/prompt_template.py @@ -100,3 +100,8 @@ "Query: {query}\n" "Queries:\n" ) + + +DEFAULT_SUMMARY_PROMPT = ( + "Summarize the provided text in Chinese, including as many key details as needed." +) diff --git a/src/pai_rag/utils/tokenization_qwen.py b/src/pai_rag/utils/tokenization_qwen.py new file mode 100644 index 00000000..a036a20f --- /dev/null +++ b/src/pai_rag/utils/tokenization_qwen.py @@ -0,0 +1,277 @@ +# Copyright (c) Alibaba Cloud. +# +# This source code is licensed under the license found in the +# LICENSE file in the root directory of this source tree. + +"""Tokenization classes for QWen.""" + +import base64 +import logging +import os +import unicodedata +from typing import Collection, Dict, List, Set, Tuple, Union + +import tiktoken +from transformers import PreTrainedTokenizer, AddedToken + +logger = logging.getLogger(__name__) + + +VOCAB_FILES_NAMES = {"vocab_file": "qwen.tiktoken"} + +PAT_STR = r"""(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\r\n\p{L}\p{N}]?\p{L}+|\p{N}| ?[^\s\p{L}\p{N}]+[\r\n]*|\s*[\r\n]+|\s+(?!\S)|\s+""" +ENDOFTEXT = "<|endoftext|>" +IMSTART = "<|im_start|>" +IMEND = "<|im_end|>" +# as the default behavior is changed to allow special tokens in +# regular texts, the surface forms of special tokens need to be +# as different as possible to minimize the impact +EXTRAS = tuple((f"<|extra_{i}|>" for i in range(205))) +# changed to use actual index to avoid misconfiguration with vocabulary expansion +SPECIAL_START_ID = 151643 +SPECIAL_TOKENS = tuple( + enumerate( + ( + ( + ENDOFTEXT, + IMSTART, + IMEND, + ) + + EXTRAS + ), + start=SPECIAL_START_ID, + ) +) +SPECIAL_TOKENS_SET = set(t for i, t in SPECIAL_TOKENS) + + +def _load_tiktoken_bpe(tiktoken_bpe_file: str) -> Dict[bytes, int]: + with open(tiktoken_bpe_file, "rb") as f: + contents = f.read() + return { + base64.b64decode(token): int(rank) + for token, rank in (line.split() for line in contents.splitlines() if line) + } + + +class QWenTokenizer(PreTrainedTokenizer): + """QWen tokenizer.""" + + vocab_files_names = VOCAB_FILES_NAMES + + def __init__( + self, + vocab_file, + errors="replace", + extra_vocab_file=None, + **kwargs, + ): + super().__init__(**kwargs) + + # how to handle errors in decoding UTF-8 byte sequences + # use ignore if you are in streaming inference + self.errors = errors + + self.mergeable_ranks = _load_tiktoken_bpe(vocab_file) # type: Dict[bytes, int] + self.special_tokens = {token: index for index, token in SPECIAL_TOKENS} + + # try load extra vocab from file + if extra_vocab_file is not None: + used_ids = set(self.mergeable_ranks.values()) | set( + self.special_tokens.values() + ) + extra_mergeable_ranks = _load_tiktoken_bpe(extra_vocab_file) + for token, index in extra_mergeable_ranks.items(): + if token in self.mergeable_ranks: + logger.info(f"extra token {token} exists, skipping") + continue + if index in used_ids: + logger.info( + f"the index {index} for extra token {token} exists, skipping" + ) + continue + self.mergeable_ranks[token] = index + # the index may be sparse after this, but don't worry tiktoken.Encoding will handle this + + enc = tiktoken.Encoding( + "Qwen", + pat_str=PAT_STR, + mergeable_ranks=self.mergeable_ranks, + special_tokens=self.special_tokens, + ) + assert ( + len(self.mergeable_ranks) + len(self.special_tokens) == enc.n_vocab + ), f"{len(self.mergeable_ranks) + len(self.special_tokens)} != {enc.n_vocab} in encoding" + + self.decoder = { + v: k for k, v in self.mergeable_ranks.items() + } # type: dict[int, bytes|str] + self.decoder.update({v: k for k, v in self.special_tokens.items()}) + + self.tokenizer = enc # type: tiktoken.Encoding + + self.eod_id = self.tokenizer.eot_token + self.im_start_id = self.special_tokens[IMSTART] + self.im_end_id = self.special_tokens[IMEND] + + def __getstate__(self): + # for pickle lovers + state = self.__dict__.copy() + del state["tokenizer"] + return state + + def __setstate__(self, state): + # tokenizer is not python native; don't pass it; rebuild it + self.__dict__.update(state) + enc = tiktoken.Encoding( + "Qwen", + pat_str=PAT_STR, + mergeable_ranks=self.mergeable_ranks, + special_tokens=self.special_tokens, + ) + self.tokenizer = enc + + def __len__(self) -> int: + return self.tokenizer.n_vocab + + def get_vocab(self) -> Dict[bytes, int]: + return self.mergeable_ranks + + def convert_tokens_to_ids( + self, tokens: Union[bytes, str, List[Union[bytes, str]]] + ) -> List[int]: + ids = [] + if isinstance(tokens, (str, bytes)): + if tokens in self.special_tokens: + return self.special_tokens[tokens] + else: + return self.mergeable_ranks.get(tokens) + for token in tokens: + if token in self.special_tokens: + ids.append(self.special_tokens[token]) + else: + ids.append(self.mergeable_ranks.get(token)) + return ids + + def _add_tokens( + self, + new_tokens: Union[List[str], List[AddedToken]], + special_tokens: bool = False, + ) -> int: + if not special_tokens and new_tokens: + raise ValueError("Adding regular tokens is not supported") + for token in new_tokens: + surface_form = token.content if isinstance(token, AddedToken) else token + if surface_form not in SPECIAL_TOKENS_SET: + raise ValueError("Adding unknown special tokens is not supported") + return 0 + + def save_vocabulary(self, save_directory: str, **kwargs) -> Tuple[str]: + """ + Save only the vocabulary of the tokenizer (vocabulary). + + Returns: + `Tuple(str)`: Paths to the files saved. + """ + file_path = os.path.join(save_directory, "qwen.tiktoken") + with open(file_path, "w", encoding="utf8") as w: + for k, v in self.mergeable_ranks.items(): + line = base64.b64encode(k).decode("utf8") + " " + str(v) + "\n" + w.write(line) + return (file_path,) + + def tokenize( + self, + text: str, + allowed_special: Union[Set, str] = "all", + disallowed_special: Union[Collection, str] = (), + **kwargs, + ) -> List[Union[bytes, str]]: + """ + Converts a string in a sequence of tokens. + + Args: + text (`str`): + The sequence to be encoded. + allowed_special (`Literal["all"]` or `set`): + The surface forms of the tokens to be encoded as special tokens in regular texts. + Default to "all". + disallowed_special (`Literal["all"]` or `Collection`): + The surface forms of the tokens that should not be in regular texts and trigger errors. + Default to an empty tuple. + + kwargs (additional keyword arguments, *optional*): + Will be passed to the underlying model specific encode method. + + Returns: + `List[bytes|str]`: The list of tokens. + """ + tokens = [] + text = unicodedata.normalize("NFC", text) + + # this implementation takes a detour: text -> token id -> token surface forms + for t in self.tokenizer.encode( + text, allowed_special=allowed_special, disallowed_special=disallowed_special + ): + tokens.append(self.decoder[t]) + return tokens + + def convert_tokens_to_string(self, tokens: List[Union[bytes, str]]) -> str: + """ + Converts a sequence of tokens in a single string. + """ + text = "" + temp = b"" + for t in tokens: + if isinstance(t, str): + if temp: + text += temp.decode("utf-8", errors=self.errors) + temp = b"" + text += t + elif isinstance(t, bytes): + temp += t + else: + raise TypeError("token should only be of type types or str") + if temp: + text += temp.decode("utf-8", errors=self.errors) + return text + + @property + def vocab_size(self): + return self.tokenizer.n_vocab + + def _convert_id_to_token(self, index: int) -> Union[bytes, str]: + """Converts an id to a token, special tokens included""" + if index in self.decoder: + return self.decoder[index] + raise ValueError("unknown ids") + + def _convert_token_to_id(self, token: Union[bytes, str]) -> int: + """Converts a token to an id using the vocab, special tokens included""" + if token in self.special_tokens: + return self.special_tokens[token] + if token in self.mergeable_ranks: + return self.mergeable_ranks[token] + raise ValueError("unknown token") + + def _tokenize(self, text: str, **kwargs): + """ + Converts a string in a sequence of tokens (string), using the tokenizer. Split in words for word-based + vocabulary or sub-words for sub-word-based vocabularies (BPE/SentencePieces/WordPieces). + + Do NOT take care of added tokens. + """ + raise NotImplementedError + + def _decode( + self, + token_ids: Union[int, List[int]], + skip_special_tokens: bool = False, + errors: str = None, + **kwargs, + ) -> str: + if isinstance(token_ids, int): + token_ids = [token_ids] + if skip_special_tokens: + token_ids = [i for i in token_ids if i < self.eod_id] + return self.tokenizer.decode(token_ids, errors=errors or self.errors) diff --git a/tests/integrations/test_nodes_enhancement.py b/tests/integrations/test_nodes_enhancement.py new file mode 100644 index 00000000..4b099dec --- /dev/null +++ b/tests/integrations/test_nodes_enhancement.py @@ -0,0 +1,59 @@ +import os +from dotenv import load_dotenv +import pytest + +from llama_index.core import Settings +from llama_index.core.schema import TextNode +from llama_index.llms.dashscope import DashScope +from llama_index.embeddings.dashscope import DashScopeEmbedding + +from pai_rag.integrations.nodes.raptor_nodes_enhance import RaptorProcessor + +load_dotenv() + + +@pytest.mark.skipif( + os.getenv("DASHSCOPE_API_KEY") is None, reason="no llm api key provided" +) +async def test_enhance_nodes(): + load_dotenv(verbose=True) + DASHSCOPE_API_KEY = os.getenv("DASHSCOPE_API_KEY") + DEFAULT_EMBED_BATCH_SIZE = 10 + + # set embedding + llm = DashScope(model_name="qwen-turbo", temperature=0.1) + embed_model = DashScopeEmbedding( + api_key=DASHSCOPE_API_KEY, embed_batch_size=DEFAULT_EMBED_BATCH_SIZE + ) + + Settings.llm = llm + Settings.embed_model = embed_model + + # create nodes + nodes = [] + text_list = [ + "小红今天在家做了番茄炒蛋。", + "小红在家做了一道菜，叫蚂蚁上树。", + "小红在家照着菜谱做了一道红烧肉，只是酱油放多了。", + "今天刮大风，天气很冷，小明躲在被窝里睡觉。", + "今天天气很糟糕，零下2度，小明躺在床上看电视剧。", + "今天下小雨，小明到附近的商场去购物。", + "现在梅雨季节，天天下雨，小明趴在窗口看着外面潮湿的世界发呆。", + "开始下雪了，小明在家穿着厚厚的毛衣，一边喝咖啡一遍读书。", + "小红特别喜欢做菜，经常在家里联系各种菜系的做法。", + "小红晚上在家煲了一碗鸽子汤，还做了小葱拌豆腐。", + "小红喜欢看各种美食类节目，比如舌尖上的中国。", + "小红爱吃川菜，经常托朋友从四川带正宗的川辣椒自己研究川菜的做法。", + ] + for i, text_i in enumerate(text_list): + nodes.append(TextNode(text=text_i, id_=f"chunk_{i}")) + + # raptor init + raptor = RaptorProcessor( + tree_depth=2, max_clusters=50, threshold=0.1, embed_model=embed_model + ) + + # enhance nodes by raptor + nodes_with_embeddings, len_new_nodes = await raptor.enhance_nodes(nodes=nodes) + + assert len(nodes) + len_new_nodes == len(nodes_with_embeddings) From 8f192cd53f99cbe564a51b54686b134e9f98c1e1 Mon Sep 17 00:00:00 2001 From: zhangdingchu <80106639+zhangdingchu@users.noreply.github.com> Date: Fri, 26 Jul 2024 17:57:58 +0800 Subject: [PATCH 53/69] Add weather tool (#125) * weather okgit add .! * fix bug * space bug --------- Co-authored-by: Yue Fei --- src/pai_rag/config/settings.toml | 3 +- .../tool/default_tool_description_template.py | 18 +++++++++++ src/pai_rag/modules/tool/tool.py | 4 +++ src/pai_rag/modules/tool/utils.py | 31 +++++++++++++++++++ 4 files changed, 55 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/config/settings.toml b/src/pai_rag/config/settings.toml index 754944b0..b542d609 100644 --- a/src/pai_rag/config/settings.toml +++ b/src/pai_rag/config/settings.toml @@ -87,4 +87,5 @@ type = "SimpleSummarize" text_qa_template = "参考内容信息如下\n---------------------\n{context_str}\n---------------------根据提供内容而非其他知识回答问题.\n问题: {query_str}\n答案: \n" [rag.tool] -type = ["calculator"] +type = ["calculator", "weather"] +weather_api_key = "" diff --git a/src/pai_rag/modules/tool/default_tool_description_template.py b/src/pai_rag/modules/tool/default_tool_description_template.py index 6786f41a..a0dd1a55 100644 --- a/src/pai_rag/modules/tool/default_tool_description_template.py +++ b/src/pai_rag/modules/tool/default_tool_description_template.py @@ -91,3 +91,21 @@ Example uses of this tool include but are not limited to calculating age differences, determining the number of items sold from inventory, working out loan repayments, and any other context where subtraction of numerical values plays a key role. """ + +DEFAULT_GET_WEATHER = """ + The get_weather tool has been meticulously crafted to fetch real-time weather data for any global location, empowering users with accurate meteorological insights. Whether you're planning outdoor activities, assessing travel conditions, monitoring agricultural climates, or simply staying informed about the day's weather, this tool offers a streamlined solution. It taps into reputable weather APIs to deliver up-to-date information on temperature, humidity, precipitation, wind conditions, and more, ensuring you're equipped with the latest atmospheric conditions. + + get_weather(city: str) -> str + This function not only provides current weather conditions but also encompasses forecast data when supported by the API, thereby catering to a wide array of weather-dependent decision-making processes. The returned dictionary encapsulates various weather parameters, enabling detailed analysis tailored to your needs. + + Args: + city (str): The name of the city, town, or specific location for which weather data is desired. Ensure the input adheres to the API's naming conventions for optimal results. + + Returns: + str: A neatly packaged string presenting the time, city, temperature in Celsius or Fahrenheit (as per the API's standard setting), and a brief description of the weather, such as "sunny," "partly cloudy," or "light rain." This format facilitates easy reading and can be seamlessly integrated into messages, notifications, or displayed on-screen. + + Raises: + ValueError: If the 'city' input is invalid or unrecognizable, ensuring that errors are promptly communicated for corrective action. + + Embracing versatility, the get_weather tool finds application in travel planning, event organization, health advisories related to extreme weather, educational projects studying climatology, and everyday life decisions influenced by the elements. Its capability to distill complex meteorological data into digestible insights underscores its value as an indispensable utility in understanding our dynamic atmospheric surroundings. +""" diff --git a/src/pai_rag/modules/tool/tool.py b/src/pai_rag/modules/tool/tool.py index 8ae860dd..390b5852 100644 --- a/src/pai_rag/modules/tool/tool.py +++ b/src/pai_rag/modules/tool/tool.py @@ -6,6 +6,7 @@ get_google_web_search_tools, get_calculator_tools, get_customized_tools, + get_weather_tools, ) @@ -36,4 +37,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): if "custom" in type: tools.extend(get_customized_tools(self.config)) + if "weather" in type: + tools.extend(get_weather_tools(self.config)) + return tools diff --git a/src/pai_rag/modules/tool/utils.py b/src/pai_rag/modules/tool/utils.py index 9c877978..bebedbd4 100644 --- a/src/pai_rag/modules/tool/utils.py +++ b/src/pai_rag/modules/tool/utils.py @@ -5,12 +5,14 @@ import json import os import sys +import requests from pai_rag.modules.tool.default_tool_description_template import ( DEFAULT_GOOGLE_SEARCH_TOOL_DESP, DEFAULT_CALCULATE_MULTIPLY, DEFAULT_CALCULATE_ADD, DEFAULT_CALCULATE_DIVIDE, DEFAULT_CALCULATE_SUBTRACT, + DEFAULT_GET_WEATHER, ) @@ -75,6 +77,35 @@ def subtract(a: int, b: int) -> int: return [multiply_tool, add_tool, divide_tool, subtract_tool] +def get_weather_tools(config): + def get_place_weather(city: str) -> str: + """Get city name and return city weather""" + api_key = config.get("weather_api_key", None) + # 可以直接赋值给api_key,原始代码的config只有type类型。 + base_url = "http://api.openweathermap.org/data/2.5/forecast?" + complete_url = f"{base_url}q={city}&appid={api_key}&lang=zh_cn&units=metric" + response = requests.get(complete_url) + weather_data = response.json() + + if weather_data["cod"] != "200": + print(f"获取天气信息失败，错误代码：{weather_data['cod']}") + return None + + element = weather_data["list"][0] + + return str( + f"{city}的天气:\n 时间: {element['dt_txt']}\n 温度: {element['main']['temp']} °C\n 天气描述: {element['weather'][0]['description']}\n" + ) + + weather_tool = FunctionTool.from_defaults( + fn=get_place_weather, + name="get_weather", + description=DEFAULT_GET_WEATHER, + ) + + return [weather_tool] + + def get_customized_tools(config): func_path = config["func_path"] sys.path.append(func_path) From da268b83e7ac5dad8ce22943e0b5dbc71245ff73 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Fri, 26 Jul 2024 19:15:43 +0800 Subject: [PATCH 54/69] Don't use parallel when data size is big (#108) --- src/pai_rag/modules/index/pai_bm25_index.py | 31 ++------------------- 1 file changed, 2 insertions(+), 29 deletions(-) diff --git a/src/pai_rag/modules/index/pai_bm25_index.py b/src/pai_rag/modules/index/pai_bm25_index.py index 3b97e949..0f30a916 100644 --- a/src/pai_rag/modules/index/pai_bm25_index.py +++ b/src/pai_rag/modules/index/pai_bm25_index.py @@ -6,7 +6,6 @@ from typing import Callable, List, cast, Dict from llama_index.core.schema import BaseNode, TextNode from pai_rag.utils.tokenizer import jieba_tokenizer -import concurrent.futures from scipy.sparse import csr_matrix from pai_rag.integrations.retrievers.fusion_retriever import MyNodeWithScore @@ -168,34 +167,8 @@ def add_docs(self, nodes: List[BaseNode]): self.index.doc_lens, (0, pad_size), "constant", constant_values=(0) ) - chunk_size = 1000000000 - start_pos = 0 - if len(text_list) < 2 * chunk_size: - tokens_list = self.split_doc(text_list, self.tokenizer) - self.process_token_list(tokens_list, id_list) - else: - with concurrent.futures.ProcessPoolExecutor( - max_workers=self.workers - ) as executor: - futures = [] - future2startpos = {} - while start_pos < len(text_list): - fut = executor.submit( - self.split_doc, - text_list[start_pos : start_pos + chunk_size], - self.tokenizer, - ) - futures.append(fut) - future2startpos[fut] = start_pos - start_pos += chunk_size - - i = 0 - for fut in concurrent.futures.as_completed(futures): - start_pos = future2startpos[fut] - i += 1 - tokens_list = fut.result() - batch_id_list = id_list[start_pos : start_pos + chunk_size] - self.process_token_list(tokens_list, batch_id_list) + tokens_list = self.split_doc(text_list, self.tokenizer) + self.process_token_list(tokens_list, id_list) self.construct_index_matrix() From cd95b4eecc2750c72ea76f788fd20d4dd7c58ff5 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Fri, 26 Jul 2024 19:43:47 +0800 Subject: [PATCH 55/69] Add opensearch (#127) * Add open search. Not tested * Fix * Fix config --- poetry.lock | 896 ++++++++++-------- pyproject.toml | 1 + pyproject_gpu.toml | 1 + src/pai_rag/app/web/tabs/vector_db_panel.py | 65 +- src/pai_rag/app/web/view_model.py | 38 +- src/pai_rag/modules/index/store.py | 22 + .../modules/llm/function_calling_llm.py | 2 +- src/pai_rag/utils/store_utils.py | 4 + 8 files changed, 621 insertions(+), 408 deletions(-) diff --git a/poetry.lock b/poetry.lock index 186a173d..8d402183 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,17 +2,17 @@ [[package]] name = "accelerate" -version = "0.32.1" +version = "0.33.0" description = "Accelerate" optional = false python-versions = ">=3.8.0" files = [ - {file = "accelerate-0.32.1-py3-none-any.whl", hash = "sha256:71fcf4be00872194071de561634268b71417d7f5b16b178e2fa76b6f117c52b0"}, - {file = "accelerate-0.32.1.tar.gz", hash = "sha256:3999acff0237cd0d4f9fd98b42d5a3163544777b53fc4f1eec886b77e992d177"}, + {file = "accelerate-0.33.0-py3-none-any.whl", hash = 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["cmake (>=3.20)", "lit"] -tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"] -tutorials = ["matplotlib", "pandas", "tabulate", "torch"] +tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"] +tutorials = ["matplotlib", "pandas", "tabulate"] [[package]] name = "typer" @@ -8651,4 +8741,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "5f75ef7e19ad8e0d3e5f36b3368081cf355473e9b5b1120df1072cf390a9f1d1" +content-hash = "c7cac31e07a08a6e598e4080be3a629758735d1b629253c94743eaac28032ee4" diff --git a/pyproject.toml b/pyproject.toml index 3d64dde8..b70867e6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -79,6 +79,7 @@ umap-learn = "^0.5.6" protobuf = "3.20.0" modelscope = "^1.16.0" llama-index-multi-modal-llms-dashscope = "^0.1.2" +llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index 7b4ad0fe..f834fe7b 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -71,6 +71,7 @@ umap-learn = "^0.5.6" protobuf = "3.20.0" modelscope = "^1.16.0" llama-index-multi-modal-llms-dashscope = "^0.1.2" +llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py index dae7c594..e6cd5631 100644 --- a/src/pai_rag/app/web/tabs/vector_db_panel.py +++ b/src/pai_rag/app/web/tabs/vector_db_panel.py @@ -15,7 +15,14 @@ def create_vector_db_panel( with gr.Column(): _ = gr.Markdown(value="**Please check your Vector Store.**") vectordb_type = gr.Dropdown( - ["Hologres", "Milvus", "ElasticSearch", "AnalyticDB", "FAISS"], + [ + "Hologres", + "Milvus", + "ElasticSearch", + "AnalyticDB", + "FAISS", + "OpenSearch", + ], label="Which VectorStore do you want to use?", elem_id="vectordb_type", interactive=DEFAULT_IS_INTERACTIVE.lower() != "false", @@ -211,12 +218,51 @@ def create_vector_db_panel( api_name="connect_faiss", ) + with gr.Column(visible=(vectordb_type == "OpenSearch")) as opensearch_col: + opensearch_endpoint = gr.Textbox( + label="Endpoint", elem_id="opensearch_endpoint" + ) + opensearch_instance_id = gr.Textbox( + label="InstanceId", elem_id="opensearch_instance_id" + ) + opensearch_username = gr.Textbox( + label="UserName", elem_id="opensearch_username" + ) + opensearch_password = gr.Textbox( + label="Password", elem_id="opensearch_password" + ) + opensearch_table_name = gr.Textbox( + label="TableName", elem_id="opensearch_table_name" + ) + + connect_btn_opensearch = gr.Button( + "Connect OpenSearch", variant="primary" + ) + con_state_opensearch = gr.Textbox(label="Connection Info: ") + inputs_opensearch = input_elements.union( + { + vectordb_type, + opensearch_endpoint, + opensearch_instance_id, + opensearch_username, + opensearch_password, + opensearch_table_name, + } + ) + connect_btn_opensearch.click( + fn=connect_vector_func, + inputs=inputs_opensearch, + outputs=con_state_opensearch, + api_name="connect_faiss", + ) + def change_vectordb_conn(vectordb_type): adb_visible = False hologres_visible = False faiss_visible = False es_visible = False milvus_visible = False + opensearch_visible = False if vectordb_type == "AnalyticDB": adb_visible = True elif vectordb_type == "Hologres": @@ -227,6 +273,8 @@ def change_vectordb_conn(vectordb_type): milvus_visible = True elif vectordb_type == "FAISS": faiss_visible = True + elif vectordb_type == "OpenSearch": + opensearch_visible = True return { adb_col: gr.update(visible=adb_visible), @@ -234,12 +282,20 @@ def change_vectordb_conn(vectordb_type): es_col: gr.update(visible=es_visible), faiss_col: gr.update(visible=faiss_visible), milvus_col: gr.update(visible=milvus_visible), + opensearch_col: gr.update(visible=opensearch_visible), } vectordb_type.change( fn=change_vectordb_conn, inputs=vectordb_type, - outputs=[adb_col, holo_col, faiss_col, es_col, milvus_col], + outputs=[ + adb_col, + holo_col, + faiss_col, + es_col, + milvus_col, + opensearch_col, + ], ) components.extend( @@ -271,6 +327,11 @@ def change_vectordb_conn(vectordb_type): es_index, es_user, es_password, + opensearch_endpoint, + opensearch_instance_id, + opensearch_username, + opensearch_password, + opensearch_table_name, ] ) diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index cf1ff686..d349ed11 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -94,6 +94,13 @@ class ViewModel(BaseModel): milvus_database: str = "pairag" milvus_collection_name: str = "pairagcollection" + # open search + opensearch_endpoint: str = None + opensearch_instance_id: str = None + opensearch_username: str = None + opensearch_password: str = None + opensearch_table_name: str = "pairag" + # retriever similarity_top_k: int = 5 retrieval_mode: str = "hybrid" # hybrid / embedding / keyword @@ -200,6 +207,17 @@ def from_app_config(config): "collection_name" ] + elif view_model.vectordb_type.lower() == "opensearch": + view_model.opensearch_endpoint = config["index"]["vector_store"]["endpoint"] + view_model.opensearch_instance_id = config["index"]["vector_store"][ + "instance_id" + ] + view_model.opensearch_username = config["index"]["vector_store"]["username"] + view_model.opensearch_password = config["index"]["vector_store"]["password"] + view_model.opensearch_table_name = config["index"]["vector_store"][ + "table_name" + ] + view_model.parser_type = config["node_parser"]["type"] view_model.chunk_size = config["node_parser"]["chunk_size"] view_model.chunk_overlap = config["node_parser"]["chunk_overlap"] @@ -226,9 +244,11 @@ def from_app_config(config): reranker_type = config["postprocessor"].get( "reranker_type", "simple-weighted-reranker" ) - similarity_threshold = config["postprocessor"].get("similarity_threshold", None) + similarity_threshold = config["postprocessor"].get("similarity_threshold", 0) view_model.similarity_threshold = ( - similarity_threshold if similarity_threshold > 0 else None + similarity_threshold + if similarity_threshold and similarity_threshold > 0 + else None ) if reranker_type == "simple-weighted-reranker": @@ -329,6 +349,13 @@ def to_app_config(self): "collection_name" ] = self.milvus_collection_name + elif self.vectordb_type.lower() == "opensearch": + config["index"]["vector_store"]["endpoint"] = self.opensearch_endpoint + config["index"]["vector_store"]["instance_id"] = self.opensearch_instance_id + config["index"]["vector_store"]["username"] = self.opensearch_username + config["index"]["vector_store"]["password"] = self.opensearch_password + config["index"]["vector_store"]["table_name"] = self.opensearch_table_name + config["retriever"]["similarity_top_k"] = self.similarity_top_k if self.retrieval_mode == "Hybrid": config["retriever"]["retrieval_mode"] = "hybrid" @@ -502,6 +529,13 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: # faiss settings["faiss_path"] = {"value": self.faiss_path} + # opensearch + settings["opensearch_endpoint"] = {"value": self.opensearch_endpoint} + settings["opensearch_instance_id"] = {"value": self.opensearch_instance_id} + settings["opensearch_username"] = {"value": self.opensearch_username} + settings["opensearch_password"] = {"value": self.opensearch_password} + settings["opensearch_table_name"] = {"value": self.opensearch_table_name} + # evaluation if self.vectordb_type == "FAISS": qa_dataset_path, qa_dataset_res = self.get_local_generated_qa_file() diff --git a/src/pai_rag/modules/index/store.py b/src/pai_rag/modules/index/store.py index 47ccda21..01973686 100644 --- a/src/pai_rag/modules/index/store.py +++ b/src/pai_rag/modules/index/store.py @@ -75,6 +75,8 @@ def _get_or_create_storage_context(self): logger.info("initialized ElasticSearch vector store.") elif vector_store_type == "milvus": self.vector_store = self._get_or_create_milvus() + elif vector_store_type == "opensearch": + self.vector_store = self._get_or_create_open_search_store() else: raise ValueError(f"Unknown vector_store type '{vector_store_type}'.") @@ -182,6 +184,26 @@ def _get_or_create_milvus(self): hybrid_ranker_params={"weights": weights} if weighted_reranker else {}, ) + def _get_or_create_open_search_store(self): + from llama_index.vector_stores.alibabacloud_opensearch import ( + AlibabaCloudOpenSearchStore, + AlibabaCloudOpenSearchConfig, + ) + + open_search_config = self.store_config["vector_store"] + output_fields = ["file_name", "file_path", "file_type", "text", "doc_id"] + db_config = AlibabaCloudOpenSearchConfig( + endpoint=open_search_config["endpoint"], + instance_id=open_search_config["instance_id"], + username=open_search_config["username"], + password=open_search_config["password"], + table_name=open_search_config["table_name"], + # OpenSearch constructor has bug in dealing with output fields + field_mapping=dict(zip(output_fields, output_fields)), + ) + + return AlibabaCloudOpenSearchStore(config=db_config) + def _get_or_create_simple_doc_store(self): if self.is_empty: doc_store = SimpleDocumentStore() diff --git a/src/pai_rag/modules/llm/function_calling_llm.py b/src/pai_rag/modules/llm/function_calling_llm.py index f71d60cd..a8c2ba94 100644 --- a/src/pai_rag/modules/llm/function_calling_llm.py +++ b/src/pai_rag/modules/llm/function_calling_llm.py @@ -15,7 +15,7 @@ def get_dependencies() -> List[str]: def _create_new_instance(self, new_params: Dict[str, Any]): llm_config = new_params[MODULE_PARAM_CONFIG] print("llm_config", llm_config) - if llm_config.source.lower() == "dashscope": + if llm_config and llm_config.source.lower() == "dashscope": model_name = llm_config.get("name", "qwen2-7b-instruct") logger.info( f"Using DashScope for Function-Calling-LLM with model: {model_name}." diff --git a/src/pai_rag/utils/store_utils.py b/src/pai_rag/utils/store_utils.py index 6cf79457..c0781929 100644 --- a/src/pai_rag/utils/store_utils.py +++ b/src/pai_rag/utils/store_utils.py @@ -32,6 +32,10 @@ def get_store_persist_directory_name(storage_config, ndims): keywords = ["host", "port", "database", "collection_name"] json_data = {k: storage_config["vector_store"][k] for k in keywords} raw_text = json.dumps(json_data) + elif vector_store_type == "opensearch": + keywords = ["endpoint", "instance_id", "table_name"] + json_data = {k: storage_config["vector_store"][k] for k in keywords} + raw_text = json.dumps(json_data) else: raise ValueError(f"Unknown vector_store type '{vector_store_type}'.") From 4742dd9ca35c8fc3ddd0cb1b5847d1e7e799727c Mon Sep 17 00:00:00 2001 From: paradiseHIT Date: Sat, 27 Jul 2024 10:46:59 +0800 Subject: [PATCH 56/69] update docker's readme (#126) * update docker's readme * change network back * change network back * change network back --- README.md | 38 +++++++++++++++++++++++++++++++++++--- 1 file changed, 35 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index aaa28747..7e22e782 100644 --- a/README.md +++ b/README.md @@ -165,7 +165,13 @@ To make it easier to use and save time on environment installation, we also prov docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 # -p (port) -v (mount embedding and rerank model directories) -e (set environment variables, if using Dashscope LLM/Embedding, need to be introduced) -w (number of workers, can be specified as the approximate number of CPU cores) - docker run -p 8001:8001 -v /huggingface:/huggingface -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + docker run --name pai_rag \ + -p 8001:8001 \ + -v /huggingface:/huggingface \ + -v /your_local_documents_path:/data \ + -e DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY} \ + -d \ + mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app ``` - GPU @@ -174,10 +180,34 @@ To make it easier to use and save time on environment installation, we also prov docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu # -p (port) -v (mount embedding and rerank model directories) -e (set environment variables, if using Dashscope LLM/Embedding, you need to introduce it) -w (number of workers, which can be specified as the approximate number of CPU cores) - docker run -p 8001:8001 -v /huggingface:/huggingface --gpus all -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + docker run --name pai_rag \ + -p 8001:8001 \ + -v /huggingface:/huggingface \ + -v /your_local_documents_path:/data \ + --gpus all \ + -e DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY} \ + -d \ + mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app ``` -2. RAG UI +2. Load Data + + Insert new files in the /data into the current index storage: + + ```bash + sudo docker exec -ti pai_rag bash + load_data -c src/pai_rag/config/settings.yaml -d /data -p pattern + ``` + + path examples: + + ``` + a. load_data -d /data/test/example + b. load_data -d /data/test/example_data/pai_document.pdf + c. load_data -d /data/test/example_data -p *.pdf + ``` + +3. RAG UI Linux: ```bash @@ -194,6 +224,8 @@ docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag: docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ ``` +You can also open http://127.0.0.1:8002/ to configure the RAG service and upload local data. + ### Build your own image based on Dockerfile You can refer to [How to Build Docker](docs/docker_build.md) to build the image yourself. From 054587e7c705edc51c99fa19e8353ffd85abc272 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Tue, 30 Jul 2024 13:28:31 +0800 Subject: [PATCH 57/69] Create ci.yml (#131) --- .github/workflows/ci.yml | 64 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) create mode 100644 .github/workflows/ci.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 00000000..452ea4ee --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,64 @@ +name: PAI-RAG CI Build + +on: + push: + # Sequence of patterns matched against refs/heads + branches: + - main + - feature + - "releases/**" + +permissions: + contents: read + pull-requests: write + +jobs: + build: + name: Build and Test + runs-on: ubuntu-latest + + steps: + - uses: actions/checkout@v4 + - name: Set up Python 3.10 + # This is the version of the action for setting up Python, not the Python version. + uses: actions/setup-python@v5 + with: + # Semantic version range syntax or exact version of a Python version + python-version: "3.10" + # Optional - x64 or x86 architecture, defaults to x64 + architecture: "x64" + + - name: Install Dependencies + run: | + python -m pip install --upgrade pip setuptools wheel + pip install poetry + poetry install + env: + POETRY_VIRTUALENVS_CREATE: false + + - name: Install pre-commit + shell: bash + run: poetry run pip install pre-commit + + - name: Run Linter + shell: bash + run: poetry run make lint + + - name: Run Tests + run: | + make coveragetest + env: + DASHSCOPE_API_KEY: ${{ secrets.TESTDASHSCOPEKEY }} + IS_PAI_RAG_CI_TEST: true + PAIRAG_RAG__embedding__source: "DashScope" + PAIRAG_RAG__llm__source: "DashScope" + PAIRAG_RAG__llm__name: "qwen-turbo" + + - name: Get Cover + uses: orgoro/coverage@v3.1 + with: + coverageFile: localdata/test_output/coverage_report.xml + token: ${{ secrets.GITHUB_TOKEN }} + thresholdAll: 0.5 # Total coverage threshold + #thresholdNew: 0.9 # New files coverage threshold + #thresholdModified: 0.9 # Modified files coverage threshold From bf303541312b0ddea04422a62a3a8d561768c6d5 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Tue, 30 Jul 2024 13:40:55 +0800 Subject: [PATCH 58/69] Update CI & PR pipelines (#132) * Update CI * Fix ci --- .github/workflows/ci.yml | 9 --------- .github/workflows/main.yml | 2 +- .github/workflows/main_gpu.yml | 2 +- README.md | 2 +- 4 files changed, 3 insertions(+), 12 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 452ea4ee..0e57c3e8 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -53,12 +53,3 @@ jobs: PAIRAG_RAG__embedding__source: "DashScope" PAIRAG_RAG__llm__source: "DashScope" PAIRAG_RAG__llm__name: "qwen-turbo" - - - name: Get Cover - uses: orgoro/coverage@v3.1 - with: - coverageFile: localdata/test_output/coverage_report.xml - token: ${{ secrets.GITHUB_TOKEN }} - thresholdAll: 0.5 # Total coverage threshold - #thresholdNew: 0.9 # New files coverage threshold - #thresholdModified: 0.9 # Modified files coverage threshold diff --git a/.github/workflows/main.yml b/.github/workflows/main.yml index facfc88b..a486c92a 100644 --- a/.github/workflows/main.yml +++ b/.github/workflows/main.yml @@ -1,4 +1,4 @@ -name: PAI-RAG CI +name: PR Build on: pull_request: diff --git a/.github/workflows/main_gpu.yml b/.github/workflows/main_gpu.yml index 71a179d7..6694d1d2 100644 --- a/.github/workflows/main_gpu.yml +++ b/.github/workflows/main_gpu.yml @@ -1,4 +1,4 @@ -name: PAI-RAG CI (GPU) +name: PR Build (GPU) on: pull_request: diff --git a/README.md b/README.md index 7e22e782..4126b6c7 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@

          PAI-RAG: An easy-to-use framework for modular RAG

          -[![PAI-RAG CI](https://github.com/aigc-apps/PAI-RAG/actions/workflows/main.yml/badge.svg)](https://github.com/aigc-apps/PAI-RAG/actions/workflows/main.yml) +[![PAI-RAG CI Build](https://github.com/aigc-apps/PAI-RAG/actions/workflows/ci.yml/badge.svg)](https://github.com/aigc-apps/PAI-RAG/actions/workflows/ci.yml)

          English | From f0fc85c34997877fd976ece59d5ec3d27bb79eb7 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Tue, 30 Jul 2024 14:51:37 +0800 Subject: [PATCH 59/69] Fix a few ui bugs (#133) --- src/pai_rag/app/web/tabs/vector_db_panel.py | 2 +- src/pai_rag/app/web/ui_constants.py | 2 +- src/pai_rag/app/web/view_model.py | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py index e6cd5631..d8b77bf2 100644 --- a/src/pai_rag/app/web/tabs/vector_db_panel.py +++ b/src/pai_rag/app/web/tabs/vector_db_panel.py @@ -229,7 +229,7 @@ def create_vector_db_panel( label="UserName", elem_id="opensearch_username" ) opensearch_password = gr.Textbox( - label="Password", elem_id="opensearch_password" + label="Password", type="password", elem_id="opensearch_password" ) opensearch_table_name = gr.Textbox( label="TableName", elem_id="opensearch_table_name" diff --git a/src/pai_rag/app/web/ui_constants.py b/src/pai_rag/app/web/ui_constants.py index ebe4454c..1ff2fa66 100644 --- a/src/pai_rag/app/web/ui_constants.py +++ b/src/pai_rag/app/web/ui_constants.py @@ -14,7 +14,7 @@ # \N{fire} Chatbot with RAG on PAI ! ### \N{rocket} Build your own personalized knowledge base question-answering chatbot. - #### \N{fire} Platform: [PAI](https://help.aliyun.com/zh/pai) / [PAI-EAS](https://www.aliyun.com/product/bigdata/learn/eas) / [PAI-DSW](https://pai.console.aliyun.com/notebook)   \N{rocket} Supported VectorStores: [Milvus](https://www.aliyun.com/product/bigdata/emapreduce/milvus) / [Hologres](https://www.aliyun.com/product/bigdata/hologram) / [ElasticSearch](https://www.aliyun.com/product/bigdata/elasticsearch) / [AnalyticDB](https://www.aliyun.com/product/apsaradb/gpdb) / [FAISS](https://python.langchain.com/docs/integrations/vectorstores/faiss) + #### \N{fire} Platform: [PAI](https://help.aliyun.com/zh/pai) / [PAI-EAS](https://www.aliyun.com/product/bigdata/learn/eas) / [PAI-DSW](https://pai.console.aliyun.com/notebook)   \N{rocket} Supported VectorStores: [Milvus](https://www.aliyun.com/product/bigdata/emapreduce/milvus) / [Hologres](https://www.aliyun.com/product/bigdata/hologram) / [ElasticSearch](https://www.aliyun.com/product/bigdata/elasticsearch) / [AnalyticDB](https://www.aliyun.com/product/apsaradb/gpdb) / [FAISS](https://python.langchain.com/docs/integrations/vectorstores/faiss) / [OpenSearch](https://help.aliyun.com/zh/open-search/vector-search-edition/product-overview/) #### \N{fire} API Docs   \N{rocket} \N{fire} 欢迎加入【PAI】RAG答疑群 27370042974 """ diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index d349ed11..8868db96 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -91,7 +91,7 @@ class ViewModel(BaseModel): milvus_port: int = None milvus_user: str = None milvus_password: str = None - milvus_database: str = "pairag" + milvus_database: str = "default" milvus_collection_name: str = "pairagcollection" # open search From 43b1c17a332624b2b5e8b8162190c8fdd6f98bf9 Mon Sep 17 00:00:00 2001 From: zt2645802240 <47960912+zt2645802240@users.noreply.github.com> Date: Wed, 31 Jul 2024 10:10:02 +0800 Subject: [PATCH 60/69] Support RDS postgres vector store (#134) * support rds postgers for store engine * Format * support table * Make format --------- Co-authored-by: Yue Fei --- poetry.lock | 81 +- pyproject.toml | 2 + pyproject_gpu.toml | 2 + src/pai_rag/app/web/tabs/vector_db_panel.py | 46 + src/pai_rag/app/web/view_model.py | 34 + .../vector_stores/postgresql/postgresql.py | 800 ++++++++++++++++++ src/pai_rag/modules/index/store.py | 18 + src/pai_rag/utils/store_utils.py | 4 + 8 files changed, 982 insertions(+), 5 deletions(-) create mode 100644 src/pai_rag/integrations/vector_stores/postgresql/postgresql.py diff --git a/poetry.lock b/poetry.lock index 8d402183..51129e1d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -510,6 +510,63 @@ files = [ 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and sys_platform == \"win32\""} greenlet = [ - {version = ">=2.0.0", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""}, {version = ">=3.0rc3", markers = "platform_python_implementation == \"CPython\" and python_version >= \"3.11\""}, + {version = ">=2.0.0", markers = "platform_python_implementation == \"CPython\" and python_version < \"3.11\""}, ] "zope.event" = "*" "zope.interface" = "*" @@ -4532,6 +4589,7 @@ description = "Nvidia JIT LTO Library" optional = false python-versions = ">=3" files = [ + {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_aarch64.whl", hash = "sha256:98103729cc5226e13ca319a10bbf9433bbbd44ef64fe72f45f067cacc14b8d27"}, {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f9b37bc5c8cf7509665cb6ada5aaa0ce65618f2332b7d3e78e9790511f111212"}, {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:e782564d705ff0bf61ac3e1bf730166da66dd2fe9012f111ede5fc49b64ae697"}, ] @@ -4646,9 +4704,9 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, ] [[package]] @@ -4669,9 +4727,9 @@ files = [ [package.dependencies] numpy = [ + {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""}, - {version = ">=1.23.5", markers = "python_version >= \"3.11\""}, ] [[package]] @@ -5044,8 +5102,8 @@ files = [ [package.dependencies] numpy = [ - {version = ">=1.22.4", markers = "python_version < \"3.11\""}, {version = ">=1.23.2", markers = "python_version == \"3.11\""}, + {version = ">=1.22.4", markers = "python_version < \"3.11\""}, ] python-dateutil = ">=2.8.2" pytz = ">=2020.1" @@ -5126,6 +5184,19 @@ files = [ Pillow = ">=9.1" pypdfium2 = ">=4.18.0" +[[package]] +name = "pgvector" +version = "0.3.2" +description = "pgvector support for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "pgvector-0.3.2-py2.py3-none-any.whl", hash = "sha256:a44541c75a7340993b2840015820a910e5d7625d2ddd1235c1ee659732531bf6"}, +] + +[package.dependencies] +numpy = "*" + [[package]] name = "pillow" version = "10.4.0" @@ -8741,4 +8812,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "c7cac31e07a08a6e598e4080be3a629758735d1b629253c94743eaac28032ee4" +content-hash = "80d4fd92fc5adbd0e9ca10611917192a47e515538dffcc0b09b4bb92ce64474c" diff --git a/pyproject.toml b/pyproject.toml index b70867e6..52271837 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -80,6 +80,8 @@ protobuf = "3.20.0" modelscope = "^1.16.0" llama-index-multi-modal-llms-dashscope = "^0.1.2" llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0" +asyncpg = "^0.29.0" +pgvector = "^0.3.2" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index f834fe7b..34879865 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -72,6 +72,8 @@ protobuf = "3.20.0" modelscope = "^1.16.0" llama-index-multi-modal-llms-dashscope = "^0.1.2" llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0" +asyncpg = "^0.29.0" +pgvector = "^0.3.2" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py index d8b77bf2..46eb040b 100644 --- a/src/pai_rag/app/web/tabs/vector_db_panel.py +++ b/src/pai_rag/app/web/tabs/vector_db_panel.py @@ -22,6 +22,7 @@ def create_vector_db_panel( "AnalyticDB", "FAISS", "OpenSearch", + "PostgreSQL", ], label="Which VectorStore do you want to use?", elem_id="vectordb_type", @@ -255,6 +256,40 @@ def create_vector_db_panel( outputs=con_state_opensearch, api_name="connect_faiss", ) + with gr.Column(visible=(vectordb_type == "PostgreSQL")) as postgresql_col: + postgresql_host = gr.Textbox(label="Host", elem_id="postgresql_host") + postgresql_port = gr.Textbox(label="Port", elem_id="postgresql_port") + postgresql_database = gr.Textbox( + label="Database", elem_id="postgresql_database" + ) + postgresql_table_name = gr.Textbox( + label="TableName", elem_id="postgresql_table_name" + ) + postgresql_password = gr.Textbox( + label="Password", elem_id="postgresql_password" + ) + postgresql_username = gr.Textbox( + label="UserName", elem_id="postgresql_username" + ) + connect_btn_pg = gr.Button("Connect PostgreSQL", variant="primary") + con_state_pg = gr.Textbox(label="Connection Info: ") + inputs_pg = input_elements.union( + { + vectordb_type, + postgresql_host, + postgresql_port, + postgresql_database, + postgresql_table_name, + postgresql_username, + postgresql_password, + } + ) + connect_btn_pg.click( + fn=connect_vector_func, + inputs=inputs_pg, + outputs=con_state_pg, + api_name="connect_pg", + ) def change_vectordb_conn(vectordb_type): adb_visible = False @@ -263,6 +298,7 @@ def change_vectordb_conn(vectordb_type): es_visible = False milvus_visible = False opensearch_visible = False + postgresql_visible = False if vectordb_type == "AnalyticDB": adb_visible = True elif vectordb_type == "Hologres": @@ -275,6 +311,8 @@ def change_vectordb_conn(vectordb_type): faiss_visible = True elif vectordb_type == "OpenSearch": opensearch_visible = True + elif vectordb_type == "PostgreSQL": + postgresql_visible = True return { adb_col: gr.update(visible=adb_visible), @@ -283,6 +321,7 @@ def change_vectordb_conn(vectordb_type): faiss_col: gr.update(visible=faiss_visible), milvus_col: gr.update(visible=milvus_visible), opensearch_col: gr.update(visible=opensearch_visible), + postgresql_col: gr.update(visible=postgresql_visible), } vectordb_type.change( @@ -295,6 +334,7 @@ def change_vectordb_conn(vectordb_type): es_col, milvus_col, opensearch_col, + postgresql_col, ], ) @@ -332,6 +372,12 @@ def change_vectordb_conn(vectordb_type): opensearch_username, opensearch_password, opensearch_table_name, + postgresql_host, + postgresql_port, + postgresql_database, + postgresql_table_name, + postgresql_username, + postgresql_password, ] ) diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index 8868db96..e71bccfe 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -101,6 +101,14 @@ class ViewModel(BaseModel): opensearch_password: str = None opensearch_table_name: str = "pairag" + # PostgreSQL + postgresql_host: str = None + postgresql_port: int = 5432 + postgresql_database: str = None + postgresql_table_name: str = "pairag" + postgresql_username: str = None + postgresql_password: str = None + # retriever similarity_top_k: int = 5 retrieval_mode: str = "hybrid" # hybrid / embedding / keyword @@ -218,6 +226,16 @@ def from_app_config(config): "table_name" ] + elif view_model.vectordb_type.lower() == "postgresql": + view_model.postgresql_host = config["index"]["vector_store"]["host"] + view_model.postgresql_port = config["index"]["vector_store"]["port"] + view_model.postgresql_database = config["index"]["vector_store"]["database"] + view_model.postgresql_table_name = config["index"]["vector_store"][ + "table_name" + ] + view_model.postgresql_username = config["index"]["vector_store"]["username"] + view_model.postgresql_password = config["index"]["vector_store"]["password"] + view_model.parser_type = config["node_parser"]["type"] view_model.chunk_size = config["node_parser"]["chunk_size"] view_model.chunk_overlap = config["node_parser"]["chunk_overlap"] @@ -356,6 +374,14 @@ def to_app_config(self): config["index"]["vector_store"]["password"] = self.opensearch_password config["index"]["vector_store"]["table_name"] = self.opensearch_table_name + elif self.vectordb_type.lower() == "postgresql": + config["index"]["vector_store"]["host"] = self.postgresql_host + config["index"]["vector_store"]["port"] = self.postgresql_port + config["index"]["vector_store"]["database"] = self.postgresql_database + config["index"]["vector_store"]["table_name"] = self.postgresql_table_name + config["index"]["vector_store"]["username"] = self.postgresql_username + config["index"]["vector_store"]["password"] = self.postgresql_password + config["retriever"]["similarity_top_k"] = self.similarity_top_k if self.retrieval_mode == "Hybrid": config["retriever"]["retrieval_mode"] = "hybrid" @@ -536,6 +562,14 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["opensearch_password"] = {"value": self.opensearch_password} settings["opensearch_table_name"] = {"value": self.opensearch_table_name} + # postgresql + settings["postgresql_host"] = {"value": self.postgresql_host} + settings["postgresql_port"] = {"value": self.postgresql_port} + settings["postgresql_database"] = {"value": self.postgresql_database} + settings["postgresql_table_name"] = {"value": self.postgresql_table_name} + settings["postgresql_username"] = {"value": self.postgresql_username} + settings["postgresql_password"] = {"value": self.postgresql_password} + # evaluation if self.vectordb_type == "FAISS": qa_dataset_path, qa_dataset_res = self.get_local_generated_qa_file() diff --git a/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py b/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py new file mode 100644 index 00000000..c0ae8cfa --- /dev/null +++ b/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py @@ -0,0 +1,800 @@ +import logging +import re +from typing import Any, List, NamedTuple, Optional, Type, Union + +import asyncpg # noqa +import pgvector # noqa +import psycopg2 # noqa +import sqlalchemy +import sqlalchemy.ext.asyncio +from llama_index.core.bridge.pydantic import PrivateAttr +from llama_index.core.schema import BaseNode, MetadataMode, TextNode +from llama_index.core.vector_stores.types import ( + BasePydanticVectorStore, + FilterOperator, + MetadataFilters, + MetadataFilter, + VectorStoreQuery, + VectorStoreQueryMode, + VectorStoreQueryResult, +) +from llama_index.core.vector_stores.utils import ( + metadata_dict_to_node, + node_to_metadata_dict, +) + + +class DBEmbeddingRow(NamedTuple): + node_id: str # FIXME: verify this type hint + text: str + metadata: dict + similarity: float + + +_logger = logging.getLogger(__name__) + + +def get_data_model( + base: Type, + index_name: str, + schema_name: str, + hybrid_search: bool, + text_search_config: str, + cache_okay: bool, + embed_dim: int = 1536, + use_jsonb: bool = False, +) -> Any: + """ + This part create a dynamic sqlalchemy model with a new table. + """ + from pgvector.sqlalchemy import Vector + from sqlalchemy import Column, Computed + from sqlalchemy.dialects.postgresql import BIGINT, JSON, JSONB, TSVECTOR, VARCHAR + from sqlalchemy.schema import Index + from sqlalchemy.types import TypeDecorator + + class TSVector(TypeDecorator): + impl = TSVECTOR + cache_ok = cache_okay + + tablename = "data_%s" % index_name # dynamic table name + class_name = "Data%s" % index_name # dynamic class name + indexname = "%s_idx" % index_name # dynamic class name + + metadata_dtype = JSONB if use_jsonb else JSON + + if hybrid_search: + + class HybridAbstractData(base): # type: ignore + __abstract__ = True # this line is necessary + id = Column(BIGINT, primary_key=True, autoincrement=True) + text = Column(VARCHAR, nullable=False) + metadata_ = Column(metadata_dtype) + node_id = Column(VARCHAR) + embedding = Column(Vector(embed_dim)) # type: ignore + text_search_tsv = Column( # type: ignore + TSVector(), + Computed( + "to_tsvector('%s', text)" % text_search_config, persisted=True + ), + ) + + model = type( + class_name, + (HybridAbstractData,), + {"__tablename__": tablename, "__table_args__": {"schema": schema_name}}, + ) + + Index( + indexname, + model.text_search_tsv, # type: ignore + postgresql_using="gin", + ) + else: + + class AbstractData(base): # type: ignore + __abstract__ = True # this line is necessary + id = Column(BIGINT, primary_key=True, autoincrement=True) + text = Column(VARCHAR, nullable=False) + metadata_ = Column(metadata_dtype) + node_id = Column(VARCHAR) + embedding = Column(Vector(embed_dim)) # type: ignore + + model = type( + class_name, + (AbstractData,), + {"__tablename__": tablename, "__table_args__": {"schema": schema_name}}, + ) + + """ + Using hnsw index, it has better query performance than IVFFlat. + postgresql_with m - the max number of connections per layer (16 by default) + postgresql_with ef_construction - the size of the dynamic candidate list for constructing the graph (64 by default) + reference: https://github.com/pgvector/pgvector + """ + Index( + tablename + "_embedding", + model.embedding, + postgresql_using="hnsw", + postgresql_ops={"embedding": "vector_cosine_ops"}, + postgresql_with={"m": "16", "ef_construction": "64"}, + ) + return model + + +class PGVectorStore(BasePydanticVectorStore): + """Postgres Vector Store. + + Examples: + `pip install llama-index-vector-stores-postgres` + + ```python + from llama_index.vector_stores.postgres import PGVectorStore + + # Create PGVectorStore instance + vector_store = PGVectorStore.from_params( + database="vector_db", + host="localhost", + password="password", + port=5432, + user="postgres", + table_name="paul_graham_essay", + embed_dim=1536, # openai embedding dimension, + hybrid_search=True, # if using VectorStoreQueryMode.HYBRID + text_search_config='jiebacfg' # postgresql extension pg_jieba + ) + ``` + """ + + from sqlalchemy.sql.selectable import Select + + stores_text = True + flat_metadata = False + + connection_string: str + async_connection_string: Union[str, sqlalchemy.engine.URL] + table_name: str + schema_name: str + embed_dim: int + hybrid_search: bool + text_search_config: str + cache_ok: bool + perform_setup: bool + debug: bool + use_jsonb: bool + + _base: Any = PrivateAttr() + _table_class: Any = PrivateAttr() + _engine: Any = PrivateAttr() + _session: Any = PrivateAttr() + _async_engine: Any = PrivateAttr() + _async_session: Any = PrivateAttr() + _is_initialized: bool = PrivateAttr(default=False) + + def __init__( + self, + connection_string: Union[str, sqlalchemy.engine.URL], + async_connection_string: Union[str, sqlalchemy.engine.URL], + table_name: str, + schema_name: str, + hybrid_search: bool = False, + text_search_config: str = "english", + embed_dim: int = 1536, + cache_ok: bool = False, + perform_setup: bool = True, + debug: bool = False, + use_jsonb: bool = False, + ) -> None: + table_name = table_name.lower() + schema_name = schema_name.lower() + + if hybrid_search and text_search_config is None: + raise ValueError( + "Sparse vector index creation requires " + "a text search configuration specification." + ) + + from sqlalchemy.orm import declarative_base + + # sqlalchemy model + self._base = declarative_base() + self._table_class = get_data_model( + self._base, + table_name, + schema_name, + hybrid_search, + text_search_config, + cache_ok, + embed_dim=embed_dim, + use_jsonb=use_jsonb, + ) + + super().__init__( + connection_string=connection_string, + async_connection_string=async_connection_string, + table_name=table_name, + schema_name=schema_name, + hybrid_search=hybrid_search, + text_search_config=text_search_config, + embed_dim=embed_dim, + cache_ok=cache_ok, + perform_setup=perform_setup, + debug=debug, + use_jsonb=use_jsonb, + ) + + async def close(self) -> None: + if not self._is_initialized: + return + + self._session.close_all() + self._engine.dispose() + + await self._async_engine.dispose() + + @classmethod + def class_name(cls) -> str: + return "PGVectorStore" + + @classmethod + def from_params( + cls, + host: Optional[str] = None, + port: Optional[str] = None, + database: Optional[str] = None, + user: Optional[str] = None, + password: Optional[str] = None, + table_name: str = "llamaindex", + schema_name: str = "public", + connection_string: Optional[Union[str, sqlalchemy.engine.URL]] = None, + async_connection_string: Optional[Union[str, sqlalchemy.engine.URL]] = None, + hybrid_search: bool = False, + text_search_config: str = "english", + embed_dim: int = 1536, + cache_ok: bool = False, + perform_setup: bool = True, + debug: bool = False, + use_jsonb: bool = False, + ) -> "PGVectorStore": + """Return connection string from database parameters.""" + conn_str = ( + connection_string + or f"postgresql+psycopg2://{user}:{password}@{host}:{port}/{database}" + ) + async_conn_str = async_connection_string or ( + f"postgresql+asyncpg://{user}:{password}@{host}:{port}/{database}" + ) + return cls( + connection_string=conn_str, + async_connection_string=async_conn_str, + table_name=table_name, + schema_name=schema_name, + hybrid_search=hybrid_search, + text_search_config=text_search_config, + embed_dim=embed_dim, + cache_ok=cache_ok, + perform_setup=perform_setup, + debug=debug, + use_jsonb=use_jsonb, + ) + + @property + def client(self) -> Any: + if not self._is_initialized: + return None + return self._engine + + def _connect(self) -> Any: + from sqlalchemy import create_engine + from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine + from sqlalchemy.orm import sessionmaker + + self._engine = create_engine(self.connection_string, echo=self.debug) + self._session = sessionmaker(self._engine) + + self._async_engine = create_async_engine(self.async_connection_string) + self._async_session = sessionmaker(self._async_engine, class_=AsyncSession) # type: ignore + + def _create_schema_if_not_exists(self) -> None: + if not re.match(r"^[A-Za-z_][A-Za-z0-9_]*$", self.schema_name): + raise ValueError(f"Invalid schema_name: {self.schema_name}") + with self._session() as session, session.begin(): + # Check if the specified schema exists with "CREATE" statement + check_schema_statement = sqlalchemy.text( + "SELECT schema_name FROM information_schema.schemata WHERE schema_name = :schema_name" + ).bindparams(schema_name=self.schema_name) + result = session.execute(check_schema_statement).fetchone() + + # If the schema does not exist, then create it + if not result: + create_schema_statement = sqlalchemy.text( + # DDL won't tolerate quoted string literal here for schema_name, + # so use a format string to embed the schema_name directly, instead of a param. + f"CREATE SCHEMA IF NOT EXISTS {self.schema_name}" + ) + session.execute(create_schema_statement) + + session.commit() + + def _create_tables_if_not_exists(self) -> None: + with self._session() as session, session.begin(): + self._base.metadata.create_all(session.connection()) + + def _create_extension(self) -> None: + import sqlalchemy + + with self._session() as session, session.begin(): + statement = sqlalchemy.text("CREATE EXTENSION IF NOT EXISTS vector") + session.execute(statement) + statement = sqlalchemy.text("CREATE EXTENSION IF NOT EXISTS pg_jieba") + session.execute(statement) + session.commit() + + def _initialize(self) -> None: + if not self._is_initialized: + self._connect() + if self.perform_setup: + self._create_extension() + self._create_schema_if_not_exists() + self._create_tables_if_not_exists() + self._is_initialized = True + + def _node_to_table_row(self, node: BaseNode) -> Any: + return self._table_class( + node_id=node.node_id, + embedding=node.get_embedding(), + text=node.get_content(metadata_mode=MetadataMode.NONE), + metadata_=node_to_metadata_dict( + node, + remove_text=True, + flat_metadata=self.flat_metadata, + ), + ) + + def add(self, nodes: List[BaseNode], **add_kwargs: Any) -> List[str]: + self._initialize() + ids = [] + with self._session() as session, session.begin(): + for node in nodes: + ids.append(node.node_id) + item = self._node_to_table_row(node) + session.add(item) + session.commit() + return ids + + async def async_add(self, nodes: List[BaseNode], **kwargs: Any) -> List[str]: + self._initialize() + ids = [] + async with self._async_session() as session, session.begin(): + for node in nodes: + ids.append(node.node_id) + item = self._node_to_table_row(node) + session.add(item) + await session.commit() + return ids + + def _to_postgres_operator(self, operator: FilterOperator) -> str: + if operator == FilterOperator.EQ: + return "=" + elif operator == FilterOperator.GT: + return ">" + elif operator == FilterOperator.LT: + return "<" + elif operator == FilterOperator.NE: + return "!=" + elif operator == FilterOperator.GTE: + return ">=" + elif operator == FilterOperator.LTE: + return "<=" + elif operator == FilterOperator.IN: + return "IN" + elif operator == FilterOperator.NIN: + return "NOT IN" + elif operator == FilterOperator.CONTAINS: + return "@>" + else: + _logger.warning(f"Unknown operator: {operator}, fallback to '='") + return "=" + + def _build_filter_clause(self, filter_: MetadataFilter) -> Any: + from sqlalchemy import text + + if filter_.operator in [FilterOperator.IN, FilterOperator.NIN]: + # Expects a single value in the metadata, and a list to compare + + # In Python, to create a tuple with a single element, you need to include a comma after the element + # This code will correctly format the IN clause whether there is one element or multiple elements in the list: + filter_value = ", ".join(f"'{e}'" for e in filter_.value) + + return text( + f"metadata_->>'{filter_.key}' " + f"{self._to_postgres_operator(filter_.operator)} " + f"({filter_value})" + ) + elif filter_.operator == FilterOperator.CONTAINS: + # Expects a list stored in the metadata, and a single value to compare + return text( + f"metadata_::jsonb->'{filter_.key}' " + f"{self._to_postgres_operator(filter_.operator)} " + f"'[\"{filter_.value}\"]'" + ) + else: + # Check if value is a number. If so, cast the metadata value to a float + # This is necessary because the metadata is stored as a string + try: + return text( + f"(metadata_->>'{filter_.key}')::float " + f"{self._to_postgres_operator(filter_.operator)} " + f"{float(filter_.value)}" + ) + except ValueError: + # If not a number, then treat it as a string + return text( + f"metadata_->>'{filter_.key}' " + f"{self._to_postgres_operator(filter_.operator)} " + f"'{filter_.value}'" + ) + + def _recursively_apply_filters(self, filters: List[MetadataFilters]) -> Any: + """ + Returns a sqlalchemy where clause. + """ + import sqlalchemy + + sqlalchemy_conditions = { + "or": sqlalchemy.sql.or_, + "and": sqlalchemy.sql.and_, + } + + if filters.condition not in sqlalchemy_conditions: + raise ValueError( + f"Invalid condition: {filters.condition}. " + f"Must be one of {list(sqlalchemy_conditions.keys())}" + ) + + return sqlalchemy_conditions[filters.condition]( + *( + ( + self._build_filter_clause(filter_) + if not isinstance(filter_, MetadataFilters) + else self._recursively_apply_filters(filter_) + ) + for filter_ in filters.filters + ) + ) + + def _apply_filters_and_limit( + self, + stmt: Select, + limit: int, + metadata_filters: Optional[MetadataFilters] = None, + ) -> Any: + if metadata_filters: + stmt = stmt.where( # type: ignore + self._recursively_apply_filters(metadata_filters) + ) + return stmt.limit(limit) # type: ignore + + def _build_query( + self, + embedding: Optional[List[float]], + limit: int = 10, + metadata_filters: Optional[MetadataFilters] = None, + ) -> Any: + from sqlalchemy import select, text + + stmt = select( # type: ignore + self._table_class.id, + self._table_class.node_id, + self._table_class.text, + self._table_class.metadata_, + self._table_class.embedding.cosine_distance(embedding).label("distance"), + ).order_by(text("distance asc")) + + return self._apply_filters_and_limit(stmt, limit, metadata_filters) + + def _query_with_score( + self, + embedding: Optional[List[float]], + limit: int = 10, + metadata_filters: Optional[MetadataFilters] = None, + **kwargs: Any, + ) -> List[DBEmbeddingRow]: + stmt = self._build_query(embedding, limit, metadata_filters) + with self._session() as session, session.begin(): + from sqlalchemy import text + + if kwargs.get("ivfflat_probes"): + ivfflat_probes = kwargs.get("ivfflat_probes") + session.execute( + text("SET ivfflat.probes = :ivfflat_probes"), + {"ivfflat_probes": ivfflat_probes}, + ) + if kwargs.get("hnsw_ef_search"): + hnsw_ef_search = kwargs.get("hnsw_ef_search") + session.execute( + text("SET hnsw.ef_search = :hnsw_ef_search"), + {"hnsw_ef_search": hnsw_ef_search}, + ) + + res = session.execute( + stmt, + ) + return [ + DBEmbeddingRow( + node_id=item.node_id, + text=item.text, + metadata=item.metadata_, + similarity=(1 - item.distance) if item.distance is not None else 0, + ) + for item in res.all() + ] + + async def _aquery_with_score( + self, + embedding: Optional[List[float]], + limit: int = 10, + metadata_filters: Optional[MetadataFilters] = None, + **kwargs: Any, + ) -> List[DBEmbeddingRow]: + stmt = self._build_query(embedding, limit, metadata_filters) + async with self._async_session() as async_session, async_session.begin(): + from sqlalchemy import text + + if kwargs.get("hnsw_ef_search"): + hnsw_ef_search = kwargs.get("hnsw_ef_search") + await async_session.execute( + text("SET hnsw.ef_search = :hnsw_ef_search"), + {"hnsw_ef_search": hnsw_ef_search}, + ) + if kwargs.get("ivfflat_probes"): + ivfflat_probes = kwargs.get("ivfflat_probes") + await async_session.execute( + text("SET ivfflat.probes = :ivfflat_probes"), + {"ivfflat_probes": ivfflat_probes}, + ) + + res = await async_session.execute(stmt) + return [ + DBEmbeddingRow( + node_id=item.node_id, + text=item.text, + metadata=item.metadata_, + similarity=(1 - item.distance) if item.distance is not None else 0, + ) + for item in res.all() + ] + + def _build_sparse_query( + self, + query_str: Optional[str], + limit: int, + metadata_filters: Optional[MetadataFilters] = None, + ) -> Any: + from sqlalchemy import select, type_coerce + from sqlalchemy.sql import func, text + from sqlalchemy.types import UserDefinedType + + class REGCONFIG(UserDefinedType): + # The TypeDecorator.cache_ok class-level flag indicates if this custom TypeDecorator is safe to be used as part of a cache key. + # If the TypeDecorator is not guaranteed to produce the same bind/result behavior and SQL generation every time, + # this flag should be set to False; otherwise if the class produces the same behavior each time, it may be set to True. + cache_ok = True + + def get_col_spec(self, **kw: Any) -> str: + return "regconfig" + + if query_str is None: + raise ValueError("query_str must be specified for a sparse vector query.") + + # Replace '&' with '|' to perform an OR search for higher recall + ts_query = func.to_tsquery( + func.replace( + func.text( + func.plainto_tsquery( + type_coerce(self.text_search_config, REGCONFIG), query_str + ) + ), + "&", + "|", + ) + ) + stmt = ( + select( # type: ignore + self._table_class.id, + self._table_class.node_id, + self._table_class.text, + self._table_class.metadata_, + func.ts_rank(self._table_class.text_search_tsv, ts_query).label("rank"), + ) + .where(self._table_class.text_search_tsv.op("@@")(ts_query)) + .order_by(text("rank desc")) + ) + + # type: ignore + return self._apply_filters_and_limit(stmt, limit, metadata_filters) + + async def _async_sparse_query_with_rank( + self, + query_str: Optional[str] = None, + limit: int = 10, + metadata_filters: Optional[MetadataFilters] = None, + ) -> List[DBEmbeddingRow]: + stmt = self._build_sparse_query(query_str, limit, metadata_filters) + async with self._async_session() as async_session, async_session.begin(): + res = await async_session.execute(stmt) + return [ + DBEmbeddingRow( + node_id=item.node_id, + text=item.text, + metadata=item.metadata_, + similarity=item.rank, + ) + for item in res.all() + ] + + def _sparse_query_with_rank( + self, + query_str: Optional[str] = None, + limit: int = 10, + metadata_filters: Optional[MetadataFilters] = None, + ) -> List[DBEmbeddingRow]: + stmt = self._build_sparse_query(query_str, limit, metadata_filters) + with self._session() as session, session.begin(): + res = session.execute(stmt) + return [ + DBEmbeddingRow( + node_id=item.node_id, + text=item.text, + metadata=item.metadata_, + similarity=item.rank, + ) + for item in res.all() + ] + + async def _async_hybrid_query( + self, query: VectorStoreQuery, **kwargs: Any + ) -> List[DBEmbeddingRow]: + import asyncio + + if query.alpha is not None: + _logger.warning("postgres hybrid search does not support alpha parameter.") + + sparse_top_k = query.sparse_top_k or query.similarity_top_k + + results = await asyncio.gather( + self._aquery_with_score( + query.query_embedding, + query.similarity_top_k, + query.filters, + **kwargs, + ), + self._async_sparse_query_with_rank( + query.query_str, sparse_top_k, query.filters + ), + ) + + dense_results, sparse_results = results + all_results = dense_results + sparse_results + return _dedup_results(all_results) + + def _hybrid_query( + self, query: VectorStoreQuery, **kwargs: Any + ) -> List[DBEmbeddingRow]: + if query.alpha is not None: + _logger.warning("postgres hybrid search does not support alpha parameter.") + + sparse_top_k = query.sparse_top_k or query.similarity_top_k + + dense_results = self._query_with_score( + query.query_embedding, + query.similarity_top_k, + query.filters, + **kwargs, + ) + + sparse_results = self._sparse_query_with_rank( + query.query_str, sparse_top_k, query.filters + ) + + all_results = dense_results + sparse_results + return _dedup_results(all_results) + + def _db_rows_to_query_result( + self, rows: List[DBEmbeddingRow] + ) -> VectorStoreQueryResult: + nodes = [] + similarities = [] + ids = [] + for db_embedding_row in rows: + try: + node = metadata_dict_to_node(db_embedding_row.metadata) + node.set_content(str(db_embedding_row.text)) + except Exception: + # NOTE: deprecated legacy logic for backward compatibility + node = TextNode( + id_=db_embedding_row.node_id, + text=db_embedding_row.text, + metadata=db_embedding_row.metadata, + ) + similarities.append(db_embedding_row.similarity) + ids.append(db_embedding_row.node_id) + nodes.append(node) + + return VectorStoreQueryResult( + nodes=nodes, + similarities=similarities, + ids=ids, + ) + + async def aquery( + self, query: VectorStoreQuery, **kwargs: Any + ) -> VectorStoreQueryResult: + self._initialize() + if query.mode == VectorStoreQueryMode.HYBRID: + results = await self._async_hybrid_query(query, **kwargs) + elif query.mode in [ + VectorStoreQueryMode.SPARSE, + VectorStoreQueryMode.TEXT_SEARCH, + ]: + sparse_top_k = query.sparse_top_k or query.similarity_top_k + results = await self._async_sparse_query_with_rank( + query.query_str, sparse_top_k, query.filters + ) + elif query.mode == VectorStoreQueryMode.DEFAULT: + results = await self._aquery_with_score( + query.query_embedding, + query.similarity_top_k, + query.filters, + **kwargs, + ) + else: + raise ValueError(f"Invalid query mode: {query.mode}") + + return self._db_rows_to_query_result(results) + + def query(self, query: VectorStoreQuery, **kwargs: Any) -> VectorStoreQueryResult: + self._initialize() + if query.mode == VectorStoreQueryMode.HYBRID: + results = self._hybrid_query(query, **kwargs) + elif query.mode in [ + VectorStoreQueryMode.SPARSE, + VectorStoreQueryMode.TEXT_SEARCH, + ]: + sparse_top_k = query.sparse_top_k or query.similarity_top_k + results = self._sparse_query_with_rank( + query.query_str, sparse_top_k, query.filters + ) + elif query.mode == VectorStoreQueryMode.DEFAULT: + results = self._query_with_score( + query.query_embedding, + query.similarity_top_k, + query.filters, + **kwargs, + ) + else: + raise ValueError(f"Invalid query mode: {query.mode}") + + return self._db_rows_to_query_result(results) + + def delete(self, ref_doc_id: str, **delete_kwargs: Any) -> None: + from sqlalchemy import delete + + self._initialize() + with self._session() as session, session.begin(): + stmt = delete(self._table_class).where( + self._table_class.metadata_["doc_id"].astext == ref_doc_id + ) + + session.execute(stmt) + session.commit() + + +def _dedup_results(results: List[DBEmbeddingRow]) -> List[DBEmbeddingRow]: + seen_ids = set() + deduped_results = [] + for result in results: + if result.node_id not in seen_ids: + deduped_results.append(result) + seen_ids.add(result.node_id) + return deduped_results diff --git a/src/pai_rag/modules/index/store.py b/src/pai_rag/modules/index/store.py index 01973686..e027822f 100644 --- a/src/pai_rag/modules/index/store.py +++ b/src/pai_rag/modules/index/store.py @@ -22,6 +22,7 @@ from pai_rag.integrations.vector_stores.analyticdb.my_analyticdb import ( MyAnalyticDBVectorStore, ) +from pai_rag.integrations.vector_stores.postgresql.postgresql import PGVectorStore from pai_rag.integrations.postprocessor.my_simple_weighted_rerank import ( MySimpleWeightedRerank, ) @@ -77,6 +78,8 @@ def _get_or_create_storage_context(self): self.vector_store = self._get_or_create_milvus() elif vector_store_type == "opensearch": self.vector_store = self._get_or_create_open_search_store() + elif vector_store_type == "postgresql": + self.vector_store = self._get_or_create_postgresql_store() else: raise ValueError(f"Unknown vector_store type '{vector_store_type}'.") @@ -204,6 +207,21 @@ def _get_or_create_open_search_store(self): return AlibabaCloudOpenSearchStore(config=db_config) + def _get_or_create_postgresql_store(self): + pg_config = self.store_config["vector_store"] + pg = PGVectorStore.from_params( + host=pg_config["host"], + port=pg_config["port"], + database=pg_config["database"], + table_name=pg_config["table_name"], + user=pg_config["username"], + password=pg_config["password"], + embed_dim=self.embed_dims, + hybrid_search=True, + text_search_config="jiebacfg", + ) + return pg + def _get_or_create_simple_doc_store(self): if self.is_empty: doc_store = SimpleDocumentStore() diff --git a/src/pai_rag/utils/store_utils.py b/src/pai_rag/utils/store_utils.py index c0781929..ec874dff 100644 --- a/src/pai_rag/utils/store_utils.py +++ b/src/pai_rag/utils/store_utils.py @@ -36,6 +36,10 @@ def get_store_persist_directory_name(storage_config, ndims): keywords = ["endpoint", "instance_id", "table_name"] json_data = {k: storage_config["vector_store"][k] for k in keywords} raw_text = json.dumps(json_data) + elif vector_store_type == "postgresql": + keywords = ["host", "port", "database", "table_name"] + json_data = {k: storage_config["vector_store"][k] for k in keywords} + raw_text = json.dumps(json_data) else: raise ValueError(f"Unknown vector_store type '{vector_store_type}'.") From cd4c0b8428d290458a6b249ec32c03e8a17595e8 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Wed, 31 Jul 2024 15:31:11 +0800 Subject: [PATCH 61/69] Fix minor bugs (#135) * Fix bug * Fix index bug * Updaet password field * Add pre-commit * Remove upload button * Refine upload * Fix pg connection string --- poetry.lock | 104 +++++++++++++++++- pyproject.toml | 1 + pyproject_gpu.toml | 1 + src/pai_rag/app/web/rag_client.py | 12 +- src/pai_rag/app/web/tabs/upload_tab.py | 28 ++++- src/pai_rag/app/web/tabs/vector_db_panel.py | 14 +-- .../vector_stores/postgresql/postgresql.py | 5 +- src/pai_rag/modules/index/index.py | 11 +- 8 files changed, 152 insertions(+), 24 deletions(-) diff --git a/poetry.lock b/poetry.lock index 51129e1d..945200bd 100644 --- a/poetry.lock +++ b/poetry.lock @@ -909,6 +909,17 @@ files = [ [package.dependencies] pycparser = "*" +[[package]] +name = "cfgv" +version = "3.4.0" +description = "Validate configuration and produce human readable error messages." +optional = false +python-versions = ">=3.8" +files = [ + {file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"}, + {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"}, +] + [[package]] name = "chardet" version = "5.2.0" @@ -1481,6 +1492,17 @@ files = [ {file = "dirtyjson-1.0.8.tar.gz", hash = "sha256:90ca4a18f3ff30ce849d100dcf4a003953c79d3a2348ef056f1d9c22231a25fd"}, ] +[[package]] +name = "distlib" +version = "0.3.8" +description = "Distribution utilities" +optional = false +python-versions = "*" +files = [ + {file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"}, + {file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"}, +] + [[package]] name = "distro" version = "1.9.0" @@ -2660,6 +2682,20 @@ files = [ [package.dependencies] pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""} +[[package]] +name = "identify" +version = "2.6.0" +description = "File identification library for Python" +optional = false +python-versions = ">=3.8" +files = [ + {file = "identify-2.6.0-py2.py3-none-any.whl", hash = "sha256:e79ae4406387a9d300332b5fd366d8994f1525e8414984e1a59e058b2eda2dd0"}, + {file = "identify-2.6.0.tar.gz", hash = "sha256:cb171c685bdc31bcc4c1734698736a7d5b6c8bf2e0c15117f4d469c8640ae5cf"}, +] + +[package.extras] +license = ["ukkonen"] + [[package]] name = "idna" version = "3.7" @@ -4359,6 +4395,17 @@ plot = ["matplotlib"] tgrep = ["pyparsing"] twitter = ["twython"] +[[package]] +name = "nodeenv" +version = "1.9.1" +description = "Node.js virtual environment builder" +optional = false +python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" +files = [ + {file = "nodeenv-1.9.1-py2.py3-none-any.whl", hash = "sha256:ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9"}, + {file = "nodeenv-1.9.1.tar.gz", hash = "sha256:6ec12890a2dab7946721edbfbcd91f3319c6ccc9aec47be7c7e6b7011ee6645f"}, +] + [[package]] name = "numba" version = "0.60.0" @@ -4589,7 +4636,6 @@ description = "Nvidia JIT LTO Library" optional = false python-versions = ">=3" files = [ - {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_aarch64.whl", hash = "sha256:98103729cc5226e13ca319a10bbf9433bbbd44ef64fe72f45f067cacc14b8d27"}, {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f9b37bc5c8cf7509665cb6ada5aaa0ce65618f2332b7d3e78e9790511f111212"}, {file = "nvidia_nvjitlink_cu12-12.5.82-py3-none-win_amd64.whl", hash = "sha256:e782564d705ff0bf61ac3e1bf730166da66dd2fe9012f111ede5fc49b64ae697"}, ] @@ -5294,6 +5340,22 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa typing = ["typing-extensions"] xmp = ["defusedxml"] +[[package]] +name = "platformdirs" +version = "4.2.2" +description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`." +optional = false +python-versions = ">=3.8" +files = [ + {file = "platformdirs-4.2.2-py3-none-any.whl", hash = "sha256:2d7a1657e36a80ea911db832a8a6ece5ee53d8de21edd5cc5879af6530b1bfee"}, + {file = "platformdirs-4.2.2.tar.gz", hash = "sha256:38b7b51f512eed9e84a22788b4bce1de17c0adb134d6becb09836e37d8654cd3"}, +] + +[package.extras] +docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"] +test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"] +type = ["mypy (>=1.8)"] + [[package]] name = "pluggy" version = "1.5.0" @@ -5351,6 +5413,24 @@ dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"] sentry = ["django", "sentry-sdk"] test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"] +[[package]] +name = "pre-commit" +version = "3.8.0" +description = "A framework for managing and maintaining multi-language pre-commit hooks." +optional = false +python-versions = ">=3.9" +files = [ + {file = "pre_commit-3.8.0-py2.py3-none-any.whl", hash = "sha256:9a90a53bf82fdd8778d58085faf8d83df56e40dfe18f45b19446e26bf1b3a63f"}, + {file = "pre_commit-3.8.0.tar.gz", hash = "sha256:8bb6494d4a20423842e198980c9ecf9f96607a07ea29549e180eef9ae80fe7af"}, +] + +[package.dependencies] +cfgv = ">=2.0.0" +identify = ">=1.0.0" +nodeenv = ">=0.11.1" +pyyaml = ">=5.1" +virtualenv = ">=20.10.0" + [[package]] name = "protobuf" version = "3.20.0" @@ -8209,6 +8289,26 @@ files = [ docs = ["Sphinx (>=4.1.2,<4.2.0)", "sphinx-rtd-theme (>=0.5.2,<0.6.0)", "sphinxcontrib-asyncio (>=0.3.0,<0.4.0)"] test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)", "flake8 (>=5.0,<6.0)", "mypy (>=0.800)", "psutil", "pyOpenSSL (>=23.0.0,<23.1.0)", "pycodestyle (>=2.9.0,<2.10.0)"] +[[package]] +name = "virtualenv" +version = "20.26.3" +description = "Virtual Python Environment builder" +optional = false +python-versions = ">=3.7" +files = [ + {file = "virtualenv-20.26.3-py3-none-any.whl", hash = "sha256:8cc4a31139e796e9a7de2cd5cf2489de1217193116a8fd42328f1bd65f434589"}, + {file = "virtualenv-20.26.3.tar.gz", hash = "sha256:4c43a2a236279d9ea36a0d76f98d84bd6ca94ac4e0f4a3b9d46d05e10fea542a"}, +] + +[package.dependencies] +distlib = ">=0.3.7,<1" +filelock = ">=3.12.2,<4" +platformdirs = ">=3.9.1,<5" + +[package.extras] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] + [[package]] name = "watchfiles" version = "0.22.0" @@ -8812,4 +8912,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.10.0,<3.12" -content-hash = "80d4fd92fc5adbd0e9ca10611917192a47e515538dffcc0b09b4bb92ce64474c" +content-hash = "94ecea4ab47f5ae051ebfc4faeb213ed15729e60fe3c7152f5abf0af6ed6cca0" diff --git a/pyproject.toml b/pyproject.toml index 52271837..9edc1d41 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -82,6 +82,7 @@ llama-index-multi-modal-llms-dashscope = "^0.1.2" llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0" asyncpg = "^0.29.0" pgvector = "^0.3.2" +pre-commit = "^3.8.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/pyproject_gpu.toml b/pyproject_gpu.toml index 34879865..8c73c46b 100644 --- a/pyproject_gpu.toml +++ b/pyproject_gpu.toml @@ -74,6 +74,7 @@ llama-index-multi-modal-llms-dashscope = "^0.1.2" llama-index-vector-stores-alibabacloud-opensearch = "^0.1.0" asyncpg = "^0.29.0" pgvector = "^0.3.2" +pre-commit = "^3.8.0" [tool.poetry.scripts] pai_rag = "pai_rag.main:main" diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index fb129f00..fd94e163 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -91,12 +91,12 @@ def _format_rag_response( return response elif is_finished: for i, doc in enumerate(docs): - formatted_file_name = re.sub( - "^[0-9a-z]{32}_", "", doc["metadata"]["file_name"] - ) - referenced_docs += ( - f'[{i+1}]: {formatted_file_name} Score:{doc["score"]} \n' - ) + filename = doc["metadata"].get("file_name", None) + if filename: + formatted_file_name = re.sub("^[0-9a-z]{32}_", "", filename) + referenced_docs += ( + f'[{i+1}]: {formatted_file_name} Score:{doc["score"]} \n' + ) image_url = doc["metadata"].get("image_url", None) if image_url: images += f"""""" diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index e47f3f98..25492379 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -61,7 +61,8 @@ def upload_knowledge( gr.update(visible=True, value=pd.DataFrame(result)), gr.update(visible=False), ] - time.sleep(2) + if not all(file.finished is True for file in my_upload_files): + time.sleep(2) upload_result = "Upload success." if error_msg: @@ -75,6 +76,13 @@ def upload_knowledge( ] +def clear_files(): + yield [ + gr.update(visible=False, value=pd.DataFrame()), + gr.update(visible=False, value=""), + ] + + def create_upload_tab() -> Dict[str, Any]: with gr.Row(): with gr.Column(scale=2): @@ -102,7 +110,6 @@ def create_upload_tab() -> Dict[str, Any]: upload_file = gr.File( label="Upload a knowledge file.", file_count="multiple" ) - upload_file_btn = gr.Button("Upload", variant="primary") upload_file_state_df = gr.DataFrame( label="Upload Status Info", visible=False ) @@ -112,12 +119,11 @@ def create_upload_tab() -> Dict[str, Any]: label="Upload a knowledge directory.", file_count="directory", ) - upload_dir_btn = gr.Button("Upload", variant="primary") upload_dir_state_df = gr.DataFrame( label="Upload Status Info", visible=False ) upload_dir_state = gr.Textbox(label="Upload Status", visible=False) - upload_file_btn.click( + upload_file.upload( fn=upload_knowledge, inputs=[ upload_file, @@ -129,7 +135,13 @@ def create_upload_tab() -> Dict[str, Any]: outputs=[upload_file_state_df, upload_file_state], api_name="upload_knowledge", ) - upload_dir_btn.click( + upload_file.clear( + fn=clear_files, + inputs=[], + outputs=[upload_file_state_df, upload_file_state], + api_name="clear_file", + ) + upload_file_dir.upload( fn=upload_knowledge, inputs=[ upload_file_dir, @@ -141,6 +153,12 @@ def create_upload_tab() -> Dict[str, Any]: outputs=[upload_dir_state_df, upload_dir_state], api_name="upload_knowledge_dir", ) + upload_file_dir.clear( + fn=clear_files, + inputs=[], + outputs=[upload_dir_state_df, upload_dir_state], + api_name="clear_file_dir", + ) return { chunk_size.elem_id: chunk_size, chunk_overlap.elem_id: chunk_overlap, diff --git a/src/pai_rag/app/web/tabs/vector_db_panel.py b/src/pai_rag/app/web/tabs/vector_db_panel.py index 46eb040b..9b5053c9 100644 --- a/src/pai_rag/app/web/tabs/vector_db_panel.py +++ b/src/pai_rag/app/web/tabs/vector_db_panel.py @@ -254,23 +254,23 @@ def create_vector_db_panel( fn=connect_vector_func, inputs=inputs_opensearch, outputs=con_state_opensearch, - api_name="connect_faiss", + api_name="connect_opensearch", ) with gr.Column(visible=(vectordb_type == "PostgreSQL")) as postgresql_col: postgresql_host = gr.Textbox(label="Host", elem_id="postgresql_host") postgresql_port = gr.Textbox(label="Port", elem_id="postgresql_port") + postgresql_username = gr.Textbox( + label="UserName", elem_id="postgresql_username" + ) + postgresql_password = gr.Textbox( + label="Password", type="password", elem_id="postgresql_password" + ) postgresql_database = gr.Textbox( label="Database", elem_id="postgresql_database" ) postgresql_table_name = gr.Textbox( label="TableName", elem_id="postgresql_table_name" ) - postgresql_password = gr.Textbox( - label="Password", elem_id="postgresql_password" - ) - postgresql_username = gr.Textbox( - label="UserName", elem_id="postgresql_username" - ) connect_btn_pg = gr.Button("Connect PostgreSQL", variant="primary") con_state_pg = gr.Textbox(label="Connection Info: ") inputs_pg = input_elements.union( diff --git a/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py b/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py index c0ae8cfa..b3f9eff4 100644 --- a/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py +++ b/src/pai_rag/integrations/vector_stores/postgresql/postgresql.py @@ -1,6 +1,7 @@ import logging import re from typing import Any, List, NamedTuple, Optional, Type, Union +from urllib.parse import quote_plus import asyncpg # noqa import pgvector # noqa @@ -259,10 +260,10 @@ def from_params( """Return connection string from database parameters.""" conn_str = ( connection_string - or f"postgresql+psycopg2://{user}:{password}@{host}:{port}/{database}" + or f"postgresql+psycopg2://{user}:{quote_plus(password)}@{host}:{port}/{database}" ) async_conn_str = async_connection_string or ( - f"postgresql+asyncpg://{user}:{password}@{host}:{port}/{database}" + f"postgresql+asyncpg://{user}:{quote_plus(password)}@{host}:{port}/{database}" ) return cls( connection_string=conn_str, diff --git a/src/pai_rag/modules/index/index.py b/src/pai_rag/modules/index/index.py index e978c248..a5120029 100644 --- a/src/pai_rag/modules/index/index.py +++ b/src/pai_rag/modules/index/index.py @@ -21,6 +21,7 @@ def __init__(self, config, embed_model, postprocessor): self.config = config self.embed_model = embed_model self.embed_dims = self._get_embed_vec_dim(embed_model) + self.postprocessor = postprocessor persist_path = config.get("persist_path", DEFAULT_PERSIST_DIR) folder_name = get_store_persist_directory_name(config, self.embed_dims) self.persist_path = os.path.join(persist_path, folder_name) @@ -28,7 +29,7 @@ def __init__(self, config, embed_model, postprocessor): is_empty = not os.path.exists(self.persist_path) rag_store = RagStore( - config, postprocessor, self.persist_path, is_empty, self.embed_dims + config, self.postprocessor, self.persist_path, is_empty, self.embed_dims ) self.storage_context = rag_store.get_storage_context() @@ -65,7 +66,13 @@ def load_indices(self, storage_context, embed_model): def reload(self): if isinstance(self.storage_context.vector_store, FaissVectorStore): - rag_store = RagStore(self.config, self.persist_path, False, self.embed_dims) + rag_store = RagStore( + self.config, + self.postprocessor, + self.persist_path, + False, + self.embed_dims, + ) self.storage_context = rag_store.get_storage_context() self.vector_index = load_index_from_storage( From 179d6b25e03c14c1a2c6ef211b254041ef4549a8 Mon Sep 17 00:00:00 2001 From: wwxxzz Date: Wed, 31 Jul 2024 16:02:42 +0800 Subject: [PATCH 62/69] Fix empty response for score_threshold (#136) * Fix empty response for score_threshold * Modify empty response info * Modify empty response info --------- Co-authored-by: Yue Fei --- src/pai_rag/app/web/rag_client.py | 15 +++++++-------- src/pai_rag/app/web/ui_constants.py | 2 +- ...my_synthesizer.py => my_simple_synthesizer.py} | 0 src/pai_rag/modules/synthesizer/synthesizer.py | 2 +- 4 files changed, 9 insertions(+), 10 deletions(-) rename src/pai_rag/integrations/synthesizer/{my_synthesizer.py => my_simple_synthesizer.py} (100%) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index fd94e163..7e229d31 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -72,7 +72,7 @@ def get_evaluate_response_url(self): return f"{self.endpoint}service/evaluate/response" def _format_rag_response( - self, response, session_id: str = None, stream: bool = False + self, question, response, session_id: str = None, stream: bool = False ): if stream: text = response["delta"] @@ -85,9 +85,8 @@ def _format_rag_response( referenced_docs = "" images = "" - # 空结果，TODO: 适配score_threshold的场景 if is_finished and len(docs) == 0 and not text: - response["result"] = EMPTY_KNOWLEDGEBASE_MESSAGE + response["result"] = EMPTY_KNOWLEDGEBASE_MESSAGE.format(query_str=question) return response elif is_finished: for i, doc in enumerate(docs): @@ -122,7 +121,7 @@ def query(self, text: str, session_id: str = None, stream: bool = False): if not stream: response = dotdict(json.loads(r.text)) yield self._format_rag_response( - response, session_id=session_id, stream=stream + text, response, session_id=session_id, stream=stream ) else: full_content = "" @@ -131,7 +130,7 @@ def query(self, text: str, session_id: str = None, stream: bool = False): full_content += chunk_response.delta chunk_response.delta = full_content yield self._format_rag_response( - chunk_response, session_id=session_id, stream=stream + text, chunk_response, session_id=session_id, stream=stream ) def query_llm( @@ -156,7 +155,7 @@ def query_llm( if not stream: response = dotdict(json.loads(r.text)) yield self._format_rag_response( - response, session_id=session_id, stream=stream + text, response, session_id=session_id, stream=stream ) else: full_content = "" @@ -165,7 +164,7 @@ def query_llm( full_content += chunk_response.delta chunk_response.delta = full_content yield self._format_rag_response( - chunk_response, session_id=session_id, stream=stream + text, chunk_response, session_id=session_id, stream=stream ) def query_vector(self, text: str): @@ -179,7 +178,7 @@ def query_vector(self, text: str): "DocumentScoreTextMedia\n" ) if len(response["docs"]) == 0: - response["result"] = EMPTY_KNOWLEDGEBASE_MESSAGE + response["result"] = EMPTY_KNOWLEDGEBASE_MESSAGE.format(query_str=text) else: for i, doc in enumerate(response["docs"]): html_content = markdown.markdown(doc["text"]) diff --git a/src/pai_rag/app/web/ui_constants.py b/src/pai_rag/app/web/ui_constants.py index 1ff2fa66..f0c15876 100644 --- a/src/pai_rag/app/web/ui_constants.py +++ b/src/pai_rag/app/web/ui_constants.py @@ -53,4 +53,4 @@ ], } -EMPTY_KNOWLEDGEBASE_MESSAGE = "The knowledge base is empty. Kindly upload your knowledge files before executing a query." +EMPTY_KNOWLEDGEBASE_MESSAGE = "We couldn't find any documents related to your question: {query_str}. \n\n You may try lowering the similarity_threshold or uploading relevant knowledge files." diff --git a/src/pai_rag/integrations/synthesizer/my_synthesizer.py b/src/pai_rag/integrations/synthesizer/my_simple_synthesizer.py similarity index 100% rename from src/pai_rag/integrations/synthesizer/my_synthesizer.py rename to src/pai_rag/integrations/synthesizer/my_simple_synthesizer.py diff --git a/src/pai_rag/modules/synthesizer/synthesizer.py b/src/pai_rag/modules/synthesizer/synthesizer.py index 56cbd6e9..a6260d7a 100644 --- a/src/pai_rag/modules/synthesizer/synthesizer.py +++ b/src/pai_rag/modules/synthesizer/synthesizer.py @@ -36,7 +36,7 @@ from pai_rag.modules.base.configurable_module import ConfigurableModule from pai_rag.modules.base.module_constants import MODULE_PARAM_CONFIG from pai_rag.utils.prompt_template import DEFAULT_TEXT_QA_PROMPT_TMPL -from pai_rag.integrations.synthesizer.my_synthesizer import MySimpleSummarize +from pai_rag.integrations.synthesizer.my_simple_synthesizer import MySimpleSummarize logger = logging.getLogger(__name__) From 714bc035c67a84237bcf704e750b839151a1daf6 Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Wed, 31 Jul 2024 17:04:00 +0800 Subject: [PATCH 63/69] fix table_reader in pdf_reader (#128) * fix table_reader in pdf_reader * fix table_reader in pdf_reader * fix table_reader in pdf_reader * fix table_reader in pdf_reader * fix table_reader in pdf_reader * fix table_reader in pdf_reader --- poetry.lock | 289 +++++++++--------- .../integrations/readers/pai_pdf_reader.py | 112 ++++--- tests/data_readers/test_easyocr_pdf_reader.py | 33 ++ 3 files changed, 262 insertions(+), 172 deletions(-) diff --git a/poetry.lock b/poetry.lock index 945200bd..2639d061 100644 --- a/poetry.lock +++ b/poetry.lock @@ -42,92 +42,104 @@ files = [ {file = "aiofiles-23.2.1.tar.gz", hash 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hash = "sha256:8f611490b93c8109b50adc317b31bfd84fff31def3475b92e7e80bf39f48175b"}, + {file = "redis-5.0.8-py3-none-any.whl", hash = "sha256:56134ee08ea909106090934adc36f65c9bcbbaecea5b21ba704ba6fb561f8eb4"}, + {file = "redis-5.0.8.tar.gz", hash = "sha256:0c5b10d387568dfe0698c6fad6615750c24170e548ca2deac10c649d463e9870"}, ] [package.dependencies] async-timeout = {version = ">=4.0.3", markers = "python_full_version < \"3.11.3\""} [package.extras] -hiredis = ["hiredis (>=1.0.0)"] +hiredis = ["hiredis (>1.0.0)"] ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"] [[package]] @@ -7091,13 +7104,13 @@ files = [ [[package]] name = "setuptools" -version = "71.1.0" +version = "72.1.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" optional = false python-versions = ">=3.8" files = [ - {file = "setuptools-71.1.0-py3-none-any.whl", hash = "sha256:33874fdc59b3188304b2e7c80d9029097ea31627180896fb549c578ceb8a0855"}, - {file = "setuptools-71.1.0.tar.gz", hash = "sha256:032d42ee9fb536e33087fb66cac5f840eb9391ed05637b3f2a76a7c8fb477936"}, + {file = "setuptools-72.1.0-py3-none-any.whl", hash = "sha256:5a03e1860cf56bb6ef48ce186b0e557fdba433237481a9a625176c2831be15d1"}, + {file = "setuptools-72.1.0.tar.gz", hash = "sha256:8d243eff56d095e5817f796ede6ae32941278f542e0f941867cc05ae52b162ec"}, ] [package.extras] @@ -7887,13 +7900,13 @@ telegram = ["requests"] [[package]] name = "transformers" -version = "4.43.2" +version = "4.43.3" description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow" optional = false python-versions = ">=3.8.0" files = [ - {file = "transformers-4.43.2-py3-none-any.whl", hash = "sha256:283c8b47cf38640c5c0caea60be0dfa948669fa48e9739b03717cbf5e8b20f11"}, - {file = "transformers-4.43.2.tar.gz", hash = "sha256:99dbbdeef9d451cdbc1c5316dce3af3dd5bb56b6cda5d0c564253e8fa7ccaf02"}, + {file = "transformers-4.43.3-py3-none-any.whl", hash = "sha256:6552beada5d826c25ff9b79139d237ab9050c6ea96b73d7fd2f8a8ba23ee76a4"}, + {file = "transformers-4.43.3.tar.gz", hash = "sha256:820c5b192bb1bf47250802901a8f0bf581e06b8fded89179d4ef08a1e903ee1c"}, ] [package.dependencies] diff --git a/src/pai_rag/integrations/readers/pai_pdf_reader.py b/src/pai_rag/integrations/readers/pai_pdf_reader.py index b3566608..bc356a5e 100644 --- a/src/pai_rag/integrations/readers/pai_pdf_reader.py +++ b/src/pai_rag/integrations/readers/pai_pdf_reader.py @@ -7,7 +7,13 @@ import PyPDF2 from PyPDF2 import PageObject from pdfminer.high_level import extract_pages -from pdfminer.layout import LTRect, LTFigure, LTTextBoxHorizontal, LTTextLineHorizontal +from pdfminer.layout import ( + LTRect, + LTFigure, + LTTextBoxHorizontal, + LTTextLineHorizontal, + LTLine, +) import pdfplumber from pdf2image import convert_from_path import easyocr @@ -17,10 +23,15 @@ import unicodedata import logging import tempfile +import cv2 import os +from tqdm import tqdm logger = logging.getLogger(__name__) +TABLE_SUMMARY_MAX_ROW_NUM = 5 +TABLE_SUMMARY_MAX_COL_NUM = 10 +TABLE_SUMMARY_MAX_CELL_TOKEN = 20 TABLE_SUMMARY_MAX_TOKEN = 200 PAGE_TABLE_SUMMARY_MAX_TOKEN = 400 @@ -119,6 +130,10 @@ def image_to_text(self, image_path: str) -> str: Returns: str: text from ocr. """ + image = cv2.imread(image_path) + if image is None or image.shape[0] <= 1 or image.shape[1] <= 1: + return "" + result = self.image_reader.readtext(image_path) predictions = "".join([item[1] for item in result]) return predictions @@ -157,31 +172,31 @@ def merge_page_tables(total_tables: List[PageItem]) -> List[PageItem]: i -= 1 return total_tables - """Function to parse table + """Function to summarize table """ @staticmethod - def parse_table(table: List[List]) -> str: - table_string = "" - for row_num in range(len(table)): - row = table[row_num] - cleaned_row = [ - item.replace("\n", " ") - if item is not None and "\n" in item - else "None" - if item is None - else item - for item in row - ] - table_string += "|" + "|".join(cleaned_row) + "|" + "\n" - table_string = table_string.strip() - return table_string + def limit_cell_size(cell: str, max_chars: int) -> str: + return (cell[:max_chars] + "...") if len(cell) > max_chars else cell - """Function to summarize table - """ + @staticmethod + def limit_table_content(table: List[List]) -> List[List]: + return [ + [ + PaiPDFReader.limit_cell_size(str(cell), TABLE_SUMMARY_MAX_CELL_TOKEN) + for cell in row + ] + for row in table + ] @staticmethod def tables_summarize(table: List[List]) -> str: + table = PaiPDFReader.limit_table_content(table) + if not PaiPDFReader.is_horizontal_table(table): + table = list(zip(*table)) + table = table[:TABLE_SUMMARY_MAX_ROW_NUM] + table = [row[:TABLE_SUMMARY_MAX_COL_NUM] for row in table] + prompt_text = f"请为以下表格生成一个摘要: {table}" response = Settings.llm.complete( prompt_text, @@ -191,12 +206,46 @@ def tables_summarize(table: List[List]) -> str: summarized_text = response return summarized_text + @staticmethod + def is_horizontal_table(table: List[List]) -> bool: + # if the table is empty or the first (header) of table is empty, it's not a horizontal table + if not table or not table[0]: + return False + + vertical_value_any_count = 0 + horizontal_value_any_count = 0 + vertical_value_all_count = 0 + horizontal_value_all_count = 0 + + """If it is a horizontal table, the probability that each row contains at least one number is higher than the probability that each column contains at least one number. + If it is a horizontal table with headers, the number of rows that are entirely composed of numbers will be greater than the number of columns that are entirely composed of numbers. + """ + + for row in table: + if any(isinstance(item, (int, float)) for item in row): + horizontal_value_any_count += 1 + if all(isinstance(item, (int, float)) for item in row): + horizontal_value_all_count += 1 + + for col in zip(*table): + if any(isinstance(item, (int, float)) for item in col): + vertical_value_any_count += 1 + if all(isinstance(item, (int, float)) for item in col): + vertical_value_all_count += 1 + + return ( + horizontal_value_any_count >= vertical_value_any_count + or horizontal_value_all_count > 0 >= vertical_value_all_count + ) + """Function to convert table data to json - """ + """ @staticmethod def table_to_json(table: List[List]) -> str: table_info = [] + if not PaiPDFReader.is_horizontal_table(table): + table = list(zip(*table)) column_name = table[0] for row in range(1, len(table)): single_line_dict = {} @@ -296,7 +345,10 @@ def load( page_items = [] # Open the PDF and extract pages pdf = pdfplumber.open(file_path) - for pagenum, page in enumerate(extract_pages(file_path)): + pages = tqdm( + extract_pages(file_path), desc="processing pages in pdf", unit="page" + ) + for pagenum, page in enumerate(pages): # Initialize variables for extracting text from the page page_object = pdf_read.pages[pagenum] text_elements = [] @@ -330,7 +382,7 @@ def load( text_from_images.append(image_texts) # Check for table elements - elif isinstance(element, LTRect): + elif isinstance(element, LTRect) or isinstance(element, LTLine): lower_side = float("inf") upper_side = 0 @@ -387,27 +439,23 @@ def load( # Construct the returned data docs = [] + page_items = tqdm(page_items, desc="processing tables in pages", unit="page") for pagenum, item in enumerate(page_items): - page_tables_texts = [] page_tables_summaries = [] page_tables_json = [] for table in total_tables: # If the page number matches if pagenum == table["page_number"]: - # Convert the table data to a structured string - table_string = PaiPDFReader.parse_table(table["text"]) summarized_table_text = PaiPDFReader.tables_summarize(table["text"]) json_data = PaiPDFReader.table_to_json(table["text"]) - page_tables_texts.append(table_string) page_tables_summaries.append( summarized_table_text.text[:TABLE_SUMMARY_MAX_TOKEN] ) page_tables_json.append(json_data) - page_table_text = "".join(page_tables_texts) - page_table_summary = "".join(page_tables_summaries) - page_table_json = "".join(page_tables_json) + page_table_summary = "\n".join(page_tables_summaries) + page_table_json = "\n".join(page_tables_json) - page_info_text = item[0]["text"] + item[1]["text"] + page_table_text + page_info_text = item[0]["text"] + item[1]["text"] + page_table_json # if `extra_info` is not None, check if it is a dictionary if extra_info: @@ -428,7 +476,6 @@ def load( extra_info["table_summary"] = page_table_summary[ :PAGE_TABLE_SUMMARY_MAX_TOKEN ] - extra_info["table_json"] = page_table_json doc = Document( text=page_info_text, @@ -440,9 +487,6 @@ def load( ), ) - doc.excluded_embed_metadata_keys.append("table_json") - doc.excluded_llm_metadata_keys.append("table_json") - docs.append(doc) else: doc = Document( diff --git a/tests/data_readers/test_easyocr_pdf_reader.py b/tests/data_readers/test_easyocr_pdf_reader.py index 73724d63..2c18ab79 100644 --- a/tests/data_readers/test_easyocr_pdf_reader.py +++ b/tests/data_readers/test_easyocr_pdf_reader.py @@ -24,3 +24,36 @@ def test_pai_pdf_reader(): ) documents = directory_reader.load_data() assert len(documents) > 0 + + +def test_is_horizontal_table(): + # example data + horizontal_table_1 = [ + ["Name", "Age", "City"], + ["Alice", 30, "New York"], + ["Bob", 25, "San Francisco"], + ] + + horizontal_table_2 = [ + ["Name", "Age", "discount"], + ["Alice", 30, 0.3], + ["Bob", 25, 0.4], + ] + + horizontal_table_3 = [ + ["Age", "discount", "amount"], + [30, 0.3, 3], + [25, 0.4, 7], + [34, 0.2, 9], + ] + + vertical_table = [ + ["Field", "Record1", "Record2"], + ["Name", "Alice", "Bob"], + ["Age", 30, 25], + ["City", "New York", "San Francisco"], + ] + assert PaiPDFReader.is_horizontal_table(horizontal_table_1) + assert PaiPDFReader.is_horizontal_table(horizontal_table_2) + assert PaiPDFReader.is_horizontal_table(horizontal_table_3) + assert not PaiPDFReader.is_horizontal_table(vertical_table) From b313fe825b91e765cbe3e6005582d65c300f6241 Mon Sep 17 00:00:00 2001 From: Ceceliachenen Date: Thu, 1 Aug 2024 16:50:12 +0800 Subject: [PATCH 64/69] add "enable_ocr" and "enable_table_summary" (#138) * add "enable_ocr" and "enable_table_summary" * add "enable_ocr" and "enable_table_summary" * add "enable_ocr" and "enable_table_summary" --- src/pai_rag/app/web/rag_client.py | 5 ++- src/pai_rag/app/web/tabs/upload_tab.py | 31 +++++++++++++++++-- src/pai_rag/app/web/view_model.py | 12 +++++++ src/pai_rag/data/rag_datapipeline.py | 19 ++++++++++-- .../integrations/readers/pai_pdf_reader.py | 19 +++++++++--- .../modules/datareader/datareader_factory.py | 5 ++- 6 files changed, 79 insertions(+), 12 deletions(-) diff --git a/src/pai_rag/app/web/rag_client.py b/src/pai_rag/app/web/rag_client.py index 7e229d31..63d39ee2 100644 --- a/src/pai_rag/app/web/rag_client.py +++ b/src/pai_rag/app/web/rag_client.py @@ -196,7 +196,10 @@ def query_vector(self, text: str): yield response def add_knowledge( - self, input_files: str, enable_qa_extraction: bool, enable_raptor: bool + self, + input_files: str, + enable_qa_extraction: bool, + enable_raptor: bool, ): files = [] file_obj_list = [] diff --git a/src/pai_rag/app/web/tabs/upload_tab.py b/src/pai_rag/app/web/tabs/upload_tab.py index 25492379..1d423c52 100644 --- a/src/pai_rag/app/web/tabs/upload_tab.py +++ b/src/pai_rag/app/web/tabs/upload_tab.py @@ -9,14 +9,25 @@ def upload_knowledge( - upload_files, chunk_size, chunk_overlap, enable_qa_extraction, enable_raptor + upload_files, + chunk_size, + chunk_overlap, + enable_qa_extraction, + enable_raptor, + enable_ocr, + enable_table_summary, ): if not upload_files: return try: rag_client.patch_config( - {"chunk_size": chunk_size, "chunk_overlap": chunk_overlap} + { + "chunk_size": chunk_size, + "chunk_overlap": chunk_overlap, + "enable_ocr": enable_ocr, + "enable_table_summary": enable_table_summary, + } ) except RagApiError as api_error: raise gr.Error(f"HTTP {api_error.code} Error: {api_error.msg}") @@ -105,6 +116,16 @@ def create_upload_tab() -> Dict[str, Any]: info="Process with Raptor Node Enhancement", elem_id="enable_raptor", ) + enable_ocr = gr.Checkbox( + label="Yes", + info="Process with OCR", + elem_id="enable_ocr", + ) + enable_table_summary = gr.Checkbox( + label="Yes", + info="Process with Table Summary ", + elem_id="enable_table_summary", + ) with gr.Column(scale=8): with gr.Tab("Files"): upload_file = gr.File( @@ -131,6 +152,8 @@ def create_upload_tab() -> Dict[str, Any]: chunk_overlap, enable_qa_extraction, enable_raptor, + enable_ocr, + enable_table_summary, ], outputs=[upload_file_state_df, upload_file_state], api_name="upload_knowledge", @@ -149,6 +172,8 @@ def create_upload_tab() -> Dict[str, Any]: chunk_overlap, enable_qa_extraction, enable_raptor, + enable_ocr, + enable_table_summary, ], outputs=[upload_dir_state_df, upload_dir_state], api_name="upload_knowledge_dir", @@ -164,4 +189,6 @@ def create_upload_tab() -> Dict[str, Any]: chunk_overlap.elem_id: chunk_overlap, enable_qa_extraction.elem_id: enable_qa_extraction, enable_raptor.elem_id: enable_raptor, + enable_ocr.elem_id: enable_ocr, + enable_table_summary.elem_id: enable_table_summary, } diff --git a/src/pai_rag/app/web/view_model.py b/src/pai_rag/app/web/view_model.py index e71bccfe..72530f94 100644 --- a/src/pai_rag/app/web/view_model.py +++ b/src/pai_rag/app/web/view_model.py @@ -52,6 +52,8 @@ class ViewModel(BaseModel): reader_type: str = "SimpleDirectoryReader" enable_qa_extraction: bool = False enable_raptor: bool = False + enable_ocr: bool = False + enable_table_summary: bool = False config_file: str = None @@ -249,6 +251,12 @@ def from_app_config(config): view_model.enable_raptor = config["data_reader"].get( "enable_raptor", view_model.enable_raptor ) + view_model.enable_ocr = config["data_reader"].get( + "enable_ocr", view_model.enable_ocr + ) + view_model.enable_table_summary = config["data_reader"].get( + "enable_table_summary", view_model.enable_table_summary + ) view_model.similarity_top_k = config["retriever"].get("similarity_top_k", 5) if config["retriever"]["retrieval_mode"] == "hybrid": @@ -323,6 +331,8 @@ def to_app_config(self): config["data_reader"]["enable_qa_extraction"] = self.enable_qa_extraction config["data_reader"]["enable_raptor"] = self.enable_raptor + config["data_reader"]["enable_ocr"] = self.enable_ocr + config["data_reader"]["enable_table_summary"] = self.enable_table_summary config["data_reader"]["type"] = self.reader_type if self.vectordb_type == "Hologres": @@ -503,6 +513,8 @@ def to_component_settings(self) -> Dict[str, Dict[str, Any]]: settings["chunk_overlap"] = {"value": self.chunk_overlap} settings["enable_qa_extraction"] = {"value": self.enable_qa_extraction} settings["enable_raptor"] = {"value": self.enable_raptor} + settings["enable_ocr"] = {"value": self.enable_ocr} + settings["enable_table_summary"] = {"value": self.enable_table_summary} # retrieval and rerank settings["retrieval_mode"] = {"value": self.retrieval_mode} diff --git a/src/pai_rag/data/rag_datapipeline.py b/src/pai_rag/data/rag_datapipeline.py index 0f26332c..d5da9797 100644 --- a/src/pai_rag/data/rag_datapipeline.py +++ b/src/pai_rag/data/rag_datapipeline.py @@ -36,7 +36,10 @@ async def ingest_from_input_path( else: input_paths = [file.strip() for file in input_path.split(",")] self.data_loader.load( - input_paths, pattern, enable_qa_extraction, enable_raptor + input_paths, + pattern, + enable_qa_extraction, + enable_raptor, ) else: self.data_loader.load_eval_data(name) @@ -103,11 +106,21 @@ def __init_data_pipeline(config_file, use_local_qa_model): default=None, ) def run( - config, data_path, pattern, extract_qa, use_local_qa_model, enable_raptor, name + config, + data_path, + pattern, + extract_qa, + use_local_qa_model, + enable_raptor, + name, ): data_pipeline = __init_data_pipeline(config, use_local_qa_model) asyncio.run( data_pipeline.ingest_from_input_path( - data_path, pattern, extract_qa, enable_raptor, name + data_path, + pattern, + extract_qa, + enable_raptor, + name, ) ) diff --git a/src/pai_rag/integrations/readers/pai_pdf_reader.py b/src/pai_rag/integrations/readers/pai_pdf_reader.py index bc356a5e..3aca81af 100644 --- a/src/pai_rag/integrations/readers/pai_pdf_reader.py +++ b/src/pai_rag/integrations/readers/pai_pdf_reader.py @@ -54,9 +54,15 @@ class PaiPDFReader(BaseReader): """ def __init__( - self, enable_image_ocr: bool = False, model_dir: str = DEFAULT_MODEL_DIR + self, + enable_image_ocr: bool = False, + enable_table_summary: bool = False, + model_dir: str = DEFAULT_MODEL_DIR, ) -> None: self.enable_image_ocr = enable_image_ocr + self.enable_table_summary = enable_table_summary + if self.enable_table_summary: + logger.info("process with table summary") if self.enable_image_ocr: self.model_dir = model_dir or os.path.join(DEFAULT_MODEL_DIR, "easyocr") logger.info("start loading ocr model") @@ -446,11 +452,14 @@ def load( for table in total_tables: # If the page number matches if pagenum == table["page_number"]: - summarized_table_text = PaiPDFReader.tables_summarize(table["text"]) + if self.enable_table_summary: + summarized_table_text = PaiPDFReader.tables_summarize( + table["text"] + ) + page_tables_summaries.append( + summarized_table_text.text[:TABLE_SUMMARY_MAX_TOKEN] + ) json_data = PaiPDFReader.table_to_json(table["text"]) - page_tables_summaries.append( - summarized_table_text.text[:TABLE_SUMMARY_MAX_TOKEN] - ) page_tables_json.append(json_data) page_table_summary = "\n".join(page_tables_summaries) page_table_json = "\n".join(page_tables_json) diff --git a/src/pai_rag/modules/datareader/datareader_factory.py b/src/pai_rag/modules/datareader/datareader_factory.py index 41193516..7d07f2f8 100644 --- a/src/pai_rag/modules/datareader/datareader_factory.py +++ b/src/pai_rag/modules/datareader/datareader_factory.py @@ -28,7 +28,10 @@ def _create_new_instance(self, new_params: Dict[str, Any]): ".html": HtmlReader(), ".htm": HtmlReader(), ".pdf": PaiPDFReader( - enable_image_ocr=self.reader_config.get("enable_image_ocr", False), + enable_image_ocr=self.reader_config.get("enable_ocr", False), + enable_table_summary=self.reader_config.get( + "enable_table_summary", False + ), model_dir=self.reader_config.get("easyocr_model_dir", None), ), ".csv": PaiPandasCSVReader( From 25e2ffb6a8b66a801957e5ccf6dd75e130941524 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 1 Aug 2024 17:44:34 +0800 Subject: [PATCH 65/69] Add release pipeline and fix some bugs (#137) * Fix bug * Add release pipeline * Update * Update * Fix bug * Fix login * Fix empty tag * Update * Fix ui issue * Add base version tag * Fix specific version * Use pg hybrid retrieval directly * Fix image tag --- .github/workflows/docker.yml | 30 +++----- .github/workflows/release.yml | 81 ++++++++++++++++++++++ .gitignore | 1 + README.md | 16 ++--- README_zh.md | 16 ++--- src/pai_rag/app/web/tabs/chat_tab.py | 12 ++-- src/pai_rag/modules/index/bm25_index.py | 7 +- src/pai_rag/modules/retriever/retriever.py | 12 ++++ 8 files changed, 132 insertions(+), 43 deletions(-) create mode 100644 .github/workflows/release.yml diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 6ef954d7..8f1c6e97 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -10,7 +10,6 @@ on: # Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds. env: REGISTRY: registry.cn-beijing.aliyuncs.com - REGISTRY_HZ: registry.cn-hangzhou.aliyuncs.com # There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu. jobs: @@ -20,6 +19,12 @@ jobs: - name: Checkout repository uses: actions/checkout@v4 + - name: Extract version + run: | + pip install poetry + VERSION_TAG=$(poetry version --short) + echo "VERSION_TAG=$VERSION_TAG" >> $GITHUB_ENV + # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here. - name: Login to ACR Beijing region uses: docker/login-action@v1 @@ -28,45 +33,30 @@ jobs: username: ${{ secrets.ACR_USER }} password: ${{ secrets.ACR_PASSWORD }} - - name: Login to ACR Hangzhou region - uses: docker/login-action@v1 - with: - registry: ${{ env.REGISTRY_HZ }} - username: ${{ secrets.ACR_USER }} - password: ${{ secrets.ACR_PASSWORD }} - - name: Build and push base image env: - IMAGE_TAG: 0.0.2 + IMAGE_TAG: ${{env.VERSION_TAG}} run: | docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG . - docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG - docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG - name: Build and push GPU image env: - IMAGE_TAG: 0.0.2_gpu + IMAGE_TAG: ${{env.VERSION_TAG}}-gpu run: | docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_gpu . - docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG - docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG - name: Build and push UI image env: - IMAGE_TAG: 0.0.2_ui + IMAGE_TAG: ${{env.VERSION_TAG}}-ui run: | docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_ui . - docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG - docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG - name: Build and push nginx image env: - IMAGE_TAG: 0.0.2_nginx + IMAGE_TAG: ${{env.VERSION_TAG}}-nginx run: | docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_nginx . - docker tag ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG - docker push ${{ env.REGISTRY_HZ }}/mybigpai/pairag:$IMAGE_TAG diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml new file mode 100644 index 00000000..2c420424 --- /dev/null +++ b/.github/workflows/release.yml @@ -0,0 +1,81 @@ +# +name: Release image + +# Configures this workflow to run every time a change is pushed to the branch called `release`. +on: + workflow_dispatch: + push: + branches: ["main", "release_test"] + +# Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds. +env: + REGISTRY: mybigpai-public-registry.cn-beijing.cr.aliyuncs.com + +# There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu. +jobs: + build-and-push-image: + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - uses: actions/setup-python@v4 + with: + python-version: "3.11" + + - name: Extract version + run: | + pip install poetry + VERSION_TAG=$(poetry version --short) + SPECIFIC_VERSION_TAG="$VERSION_TAG-$(date +'%Y%m%d')" + echo "VERSION_TAG=$VERSION_TAG" >> $GITHUB_ENV + echo "SPECIFIC_VERSION_TAG=$SPECIFIC_VERSION_TAG" >> $GITHUB_ENV + echo "version:$SPECIFIC_VERSION_TAG\ncommit_id:$(git rev-parse HEAD)" > __build_version.cfg + + # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here. + - name: Login to ACR Hangzhou region + uses: docker/login-action@v1 + with: + registry: ${{ env.REGISTRY }} + username: ${{ secrets.ACR_USER }} + password: ${{ secrets.ACR_PUBLIC_PASSWORD }} + + - name: Build and push base image + env: + IMAGE_TAG: ${{env.VERSION_TAG}} + SPECIFIC_IMAGE_TAG: ${{env.SPECIFIC_VERSION_TAG}} + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} . + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + + - name: Build and push GPU image + env: + IMAGE_TAG: ${{env.VERSION_TAG}}-gpu + SPECIFIC_IMAGE_TAG: ${{env.SPECIFIC_VERSION_TAG}}-gpu + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} -f Dockerfile_gpu . + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + + - name: Build and push UI image + env: + IMAGE_TAG: ${{env.VERSION_TAG}}-ui + SPECIFIC_IMAGE_TAG: ${{env.SPECIFIC_VERSION_TAG}}-ui + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} -f Dockerfile_ui . + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + + - name: Build and push nginx image + env: + IMAGE_TAG: ${{env.VERSION_TAG}}-nginx + SPECIFIC_IMAGE_TAG: ${{env.SPECIFIC_VERSION_TAG}}-nginx + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} -f Dockerfile_nginx . + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} diff --git a/.gitignore b/.gitignore index 501098ad..6b69f654 100644 --- a/.gitignore +++ b/.gitignore @@ -224,3 +224,4 @@ output localdata/ model_repository/ *.tmp +__* diff --git a/README.md b/README.md index 4126b6c7..c60e6246 100644 --- a/README.md +++ b/README.md @@ -162,7 +162,7 @@ To make it easier to use and save time on environment installation, we also prov - CPU ```bash - docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0 # -p (port) -v (mount embedding and rerank model directories) -e (set environment variables, if using Dashscope LLM/Embedding, need to be introduced) -w (number of workers, can be specified as the approximate number of CPU cores) docker run --name pai_rag \ @@ -171,13 +171,13 @@ To make it easier to use and save time on environment installation, we also prov -v /your_local_documents_path:/data \ -e DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY} \ -d \ - mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app ``` - GPU ```bash - docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-gpu # -p (port) -v (mount embedding and rerank model directories) -e (set environment variables, if using Dashscope LLM/Embedding, you need to introduce it) -w (number of workers, which can be specified as the approximate number of CPU cores) docker run --name pai_rag \ @@ -187,7 +187,7 @@ To make it easier to use and save time on environment installation, we also prov --gpus all \ -e DASHSCOPE_API_KEY=${DASHSCOPE_API_KEY} \ -d \ - mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app ``` 2. Load Data @@ -211,17 +211,17 @@ To make it easier to use and save time on environment installation, we also prov Linux: ```bash -docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui -docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui ``` Mac/Windows: ```bash -docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui -docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ +docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0_ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ ``` You can also open http://127.0.0.1:8002/ to configure the RAG service and upload local data. diff --git a/README_zh.md b/README_zh.md index c1e4d53c..12527169 100644 --- a/README_zh.md +++ b/README_zh.md @@ -162,36 +162,36 @@ evaluation [-c src/pai_rag/config/settings.yaml] [-o False] [-t retrieval] - CPU ```bash - docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0 # 启动: -p(端口) -v(挂载embedding和rerank模型目录) -e(设置环境变量，若使用Dashscope LLM/Embedding，需要引入) -w(worker数量，可以指定为近似cpu核数) - docker run -p 8001:8001 -v /huggingface:/huggingface -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + docker run -p 8001:8001 -v /huggingface:/huggingface -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0 gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app ``` - GPU ```bash - docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu + docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-gpu # 启动: -p(端口) -v(挂载embedding和rerank模型目录) -e(设置环境变量，若使用Dashscope LLM/Embedding，需要引入) -w(worker数量，可以指定为近似cpu核数) - docker run -p 8001:8001 -v /huggingface:/huggingface --gpus all -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app + docker run -p 8001:8001 -v /huggingface:/huggingface --gpus all -e DASHSCOPE_API_KEY=sk-xxxx -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-gpu gunicorn -b 0.0.0.0:8001 -w 16 -k uvicorn.workers.UvicornH11Worker pai_rag.main:app ``` 2. 启动RAG WebUI Linux: ```bash -docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui -docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +docker run --network host -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui ``` Mac/Windows: ```bash -docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui +docker pull mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui -docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.0.2_ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ +docker run -p 8002:8002 -d mybigpai-public-registry.cn-beijing.cr.aliyuncs.com/mybigpai/pairag:0.1.0-ui pai_rag ui -p 8002 -c http://host.docker.internal:8001/ ``` ### 基于Dockerfile自行构建镜像 diff --git a/src/pai_rag/app/web/tabs/chat_tab.py b/src/pai_rag/app/web/tabs/chat_tab.py index 594b1930..2e0935c5 100644 --- a/src/pai_rag/app/web/tabs/chat_tab.py +++ b/src/pai_rag/app/web/tabs/chat_tab.py @@ -149,7 +149,7 @@ def create_chat_tab() -> Dict[str, Any]: def change_weight(change_weight): return round(float(1 - change_weight), 2) - vector_weight.change( + vector_weight.input( fn=change_weight, inputs=vector_weight, outputs=[keyword_weight], @@ -178,13 +178,13 @@ def change_retrieval_mode(retrieval_mode): else: return {simple_reranker_col: gr.update(visible=False)} - reranker_type.change( + reranker_type.input( fn=change_reranker_type, inputs=reranker_type, outputs=[simple_reranker_col, model_reranker_col], ) - retrieval_mode.change( + retrieval_mode.input( fn=change_retrieval_mode, inputs=retrieval_mode, outputs=[simple_reranker_col], @@ -232,7 +232,7 @@ def change_retrieval_mode(retrieval_mode): ) text_qa_template = gr.Textbox( label="prompt template", - placeholder="", + value="", elem_id="text_qa_template", lines=4, ) @@ -266,7 +266,7 @@ def change_prompt_template(prm_type): else: return {text_qa_template: gr.update(value="", interactive=True)} - prm_type.change( + prm_type.input( fn=change_prompt_template, inputs=prm_type, outputs=[text_qa_template], @@ -304,7 +304,7 @@ def change_query_radio(query_type): lc_col: gr.update(visible=True), } - query_type.change( + query_type.input( fn=change_query_radio, inputs=query_type, outputs=[vs_col, vec_model_argument, llm_col, model_argument, lc_col], diff --git a/src/pai_rag/modules/index/bm25_index.py b/src/pai_rag/modules/index/bm25_index.py index db29dba0..41643a70 100644 --- a/src/pai_rag/modules/index/bm25_index.py +++ b/src/pai_rag/modules/index/bm25_index.py @@ -22,7 +22,12 @@ def get_dependencies() -> List[str]: def _create_new_instance(self, new_params: Dict[str, Any]): index = new_params["IndexModule"] - if index.vectordb_type == "elasticsearch" or index.vectordb_type == "milvus": + if ( + index.vectordb_type == "elasticsearch" + or index.vectordb_type == "milvus" + or index.vectordb_type == "postgresql" + ): + logger.info(f"Do not use local BM25 Index for {index.vectordb_type}.") return None else: logger.info("Using BM25 Index.") diff --git a/src/pai_rag/modules/retriever/retriever.py b/src/pai_rag/modules/retriever/retriever.py index 5cf7505e..e1667a64 100644 --- a/src/pai_rag/modules/retriever/retriever.py +++ b/src/pai_rag/modules/retriever/retriever.py @@ -70,6 +70,18 @@ def _create_new_instance(self, new_params: Dict[str, Any]): similarity_top_k=similarity_top_k, vector_store_query_mode=VectorStoreQueryMode.TEXT_SEARCH, ) + elif index.vectordb_type == "postgresql": + if retrieval_mode == "embedding": + query_mode = VectorStoreQueryMode.DEFAULT + elif retrieval_mode == "keyword": + query_mode = VectorStoreQueryMode.TEXT_SEARCH + else: + query_mode = VectorStoreQueryMode.HYBRID + return MyVectorIndexRetriever( + index=index.vector_index, + similarity_top_k=similarity_top_k, + vector_store_query_mode=query_mode, + ) else: vector_retriever = MyVectorIndexRetriever( index=index.vector_index, similarity_top_k=similarity_top_k From b37a44dd16f63325f2e366fa2247675a382d0802 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Thu, 1 Aug 2024 19:24:08 +0800 Subject: [PATCH 66/69] Fix llm config (#139) --- src/pai_rag/modules/llm/llm_module.py | 20 +------------------- 1 file changed, 1 insertion(+), 19 deletions(-) diff --git a/src/pai_rag/modules/llm/llm_module.py b/src/pai_rag/modules/llm/llm_module.py index fecfeab5..49bd90d3 100644 --- a/src/pai_rag/modules/llm/llm_module.py +++ b/src/pai_rag/modules/llm/llm_module.py @@ -4,8 +4,6 @@ from llama_index.llms.openai import OpenAI from llama_index.llms.azure_openai import AzureOpenAI -import os - # from llama_index.llms.dashscope import DashScope from pai_rag.integrations.llms.dashscope.base import MyDashScope from pai_rag.integrations.llms.paieas.base import PaiEAS @@ -24,23 +22,7 @@ def _create_new_instance(self, new_params: Dict[str, Any]): config = new_params[MODULE_PARAM_CONFIG] source = config["source"].lower() - # Get DASHSCOPE KEY, will use dashscope LLM - # Since we might have already configured key for dashscope mebedding and multi-modal - # Will refine later. - if os.getenv("DASHSCOPE_API_KEY", None): - model_name = "qwen-turbo" - logger.info( - f""" - [Parameters][LLM:DashScope] - model = {model_name} - """ - ) - llm = MyDashScope( - model_name=model_name, - temperature=config.get("temperature", 0.1), - max_tokens=2000, - ) - elif source == "openai": + if source == "openai": logger.info( f""" [Parameters][LLM:OpenAI] From b6d5b4e6bd350577e9c729a3c5705bd724c850dd Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Fri, 2 Aug 2024 16:52:55 +0800 Subject: [PATCH 67/69] Fix toml merge bug (#142) --- src/pai_rag/core/rag_configuration.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/src/pai_rag/core/rag_configuration.py b/src/pai_rag/core/rag_configuration.py index 729e20f5..b9de7f49 100644 --- a/src/pai_rag/core/rag_configuration.py +++ b/src/pai_rag/core/rag_configuration.py @@ -48,11 +48,14 @@ def get_value(self, key=None): return self.config[key] def update(self, new_value: Dynaconf): - self.config.rag.update(new_value, tomlfy=True, merge=True) + if self.config.get("rag", None): + self.config.rag.update(new_value, tomlfy=True, merge=True) def persist(self): """Save configuration to file.""" data = self.config.as_dict() + data["dynaconf_merge"] = True + os.makedirs("localdata", exist_ok=True) loaders.write(GENERATED_CONFIG_FILE_NAME, DynaBox(data).to_dict(), merge=True) From 5ad9579fb672a8a510935be7433e688b127176b1 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 5 Aug 2024 09:57:45 +0800 Subject: [PATCH 68/69] Fix configuration conflict (#143) * Fix merge bug * Fix version conflict for config file * Resolve snapshot merge conflict --- src/pai_rag/core/rag_configuration.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/pai_rag/core/rag_configuration.py b/src/pai_rag/core/rag_configuration.py index b9de7f49..4f916d21 100644 --- a/src/pai_rag/core/rag_configuration.py +++ b/src/pai_rag/core/rag_configuration.py @@ -30,12 +30,14 @@ def from_snapshot(cls): @classmethod def from_file(cls, config_file): try: - settings_files = [config_file, GENERATED_CONFIG_FILE_NAME] + settings_files = [config_file] config = Dynaconf( envvar_prefix="PAIRAG", settings_file=settings_files, merge=True, ) + snapshot_config = Dynaconf(settings_file=[GENERATED_CONFIG_FILE_NAME]) + config.update(snapshot_config, tomlfy=True, merge=True) return cls(config) # `envvar_prefix` = export envvars with `export PAIRAG_FOO=bar`. # `settings_files` = Load these files in the order. @@ -54,8 +56,6 @@ def update(self, new_value: Dynaconf): def persist(self): """Save configuration to file.""" data = self.config.as_dict() - data["dynaconf_merge"] = True - os.makedirs("localdata", exist_ok=True) loaders.write(GENERATED_CONFIG_FILE_NAME, DynaBox(data).to_dict(), merge=True) From 7b3eea72de55dfa97c4873c36ff01b36da4ec6e1 Mon Sep 17 00:00:00 2001 From: Yue Fei Date: Mon, 5 Aug 2024 10:53:20 +0800 Subject: [PATCH 69/69] Fix space outage in github runner (#144) * Fix merge bug * Fix version conflict for config file * Resolve snapshot merge conflict * Update yaml --- .github/workflows/docker.yml | 28 +++++++++++++++++++--------- .github/workflows/release.yml | 34 ++++++++++++++++++++++------------ 2 files changed, 41 insertions(+), 21 deletions(-) diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index 8f1c6e97..ac9dce96 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -1,5 +1,4 @@ -# -name: Create and publish a Docker image +name: Publish Docker image # Configures this workflow to run every time a change is pushed to the branch called `release`. on: @@ -19,6 +18,17 @@ jobs: - name: Checkout repository uses: actions/checkout@v4 + - name: Check disk space + run: df . -h + + - name: Free disk space + run: | + sudo docker rmi $(docker image ls -aq) >/dev/null 2>&1 || true + sudo rm -rf \ + /usr/share/dotnet /usr/local/lib/android /opt/ghc \ + /usr/local/share/powershell /usr/share/swift /usr/local/.ghcup \ + /usr/lib/jvm || true + - name: Extract version run: | pip install poetry @@ -40,13 +50,6 @@ jobs: docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG . docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG - - name: Build and push GPU image - env: - IMAGE_TAG: ${{env.VERSION_TAG}}-gpu - run: | - docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_gpu . - docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG - - name: Build and push UI image env: IMAGE_TAG: ${{env.VERSION_TAG}}-ui @@ -60,3 +63,10 @@ jobs: run: | docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_nginx . docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG + + - name: Build and push GPU image + env: + IMAGE_TAG: ${{env.VERSION_TAG}}-gpu + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG -f Dockerfile_gpu . + docker push ${{ env.REGISTRY }}/mybigpai/pairag:$IMAGE_TAG diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 2c420424..af89242a 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -1,4 +1,3 @@ -# name: Release image # Configures this workflow to run every time a change is pushed to the branch called `release`. @@ -23,6 +22,17 @@ jobs: with: python-version: "3.11" + - name: Check disk space + run: df . -h + + - name: Free disk space + run: | + sudo docker rmi $(docker image ls -aq) >/dev/null 2>&1 || true + sudo rm -rf \ + /usr/share/dotnet /usr/local/lib/android /opt/ghc \ + /usr/local/share/powershell /usr/share/swift /usr/local/.ghcup \ + /usr/lib/jvm || true + - name: Extract version run: | pip install poetry @@ -33,7 +43,7 @@ jobs: echo "version:$SPECIFIC_VERSION_TAG\ncommit_id:$(git rev-parse HEAD)" > __build_version.cfg # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here. - - name: Login to ACR Hangzhou region + - name: Login to ACR region uses: docker/login-action@v1 with: registry: ${{ env.REGISTRY }} @@ -50,16 +60,6 @@ jobs: docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} - - name: Build and push GPU image - env: - IMAGE_TAG: ${{env.VERSION_TAG}}-gpu - SPECIFIC_IMAGE_TAG: ${{env.SPECIFIC_VERSION_TAG}}-gpu - run: | - docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} -f Dockerfile_gpu . - docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} - docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} - docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} - - name: Build and push UI image env: IMAGE_TAG: ${{env.VERSION_TAG}}-ui @@ -79,3 +79,13 @@ jobs: docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + + - name: Build and push GPU image + env: + IMAGE_TAG: ${{env.VERSION_TAG}}-gpu + SPECIFIC_IMAGE_TAG: ${{env.SPECIFIC_VERSION_TAG}}-gpu + run: | + docker build -t ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} -f Dockerfile_gpu . + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} + docker tag ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.IMAGE_TAG }} ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }} + docker push ${{ env.REGISTRY }}/mybigpai/pairag:${{ env.SPECIFIC_IMAGE_TAG }}

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