Bump Pydantic to version 2

.github/workflows/pr_checks.yml

@@ -93,9 +93,9 @@ jobs:
   Pytest-Matrix:
     strategy:
       matrix:
-        python_version: ["3.8", "3.9", "3.10", "3.11"]
-        pydantic_version: ["1.8.2", "1.9.2", "1.10.9"]
-        pyyaml_version: ["5.4.1", "6.0"]
+        python_version: ["3.9", "3.10", "3.11"]
+        pydantic_version: ["2.2.1", "2.3.0", "2.4.2", "2.5.0"]
+        pyyaml_version: ["5.4.1", "6.0.1"]
     runs-on: ubuntu-latest
     continue-on-error: true
     steps:

CHANGELOG.md

@@ -24,9 +24,16 @@ The types of changes are:
 - Give Flexible Legal Basis a default of True [#184](https://github.com/ethyca/fideslang/pull/184)
 
 
+## [3.0.0 Unreleased]
+
+### Changed
+
+- Updated to Pydantic 2.X, which is now the only supported version [#160](https://github.com/ethyca/fideslang/pull/160)
+- Removed Python 3.8 from the list of supported versions [#160](https://github.com/ethyca/fideslang/pull/160)
+
 ## [2.2.1](https://github.com/ethyca/fideslang/compare/2.2.0...2.2.1)
 
-### Added 
+### Added
 
 - Added a `System.cookies` property to support `Cookie` records explicitly associated with a `System` generally [#181](https://github.com/ethyca/fideslang/pull/181)
 - Added a `System.previous_vendor_id` property to support to associate a `System` record with a "deprecated" vendor record [#182](https://github.com/ethyca/fideslang/pull/182)

Dockerfile

@@ -1,4 +1,4 @@
-FROM python:3.8-slim-bullseye as base
+FROM python:3.9-slim-bullseye as base
 
 # Update pip in the base image since we'll use it everywhere
 RUN pip install -U pip

dev-requirements.txt

@@ -2,7 +2,7 @@ black==23.3.0
 mypy==1.4.0
 nox>=2023
 packaging>=22.0
-pre-commit==2.9.3
+pre-commit==3.5.0
 pylint==2.10.0
 pytest==7.3.1
 pytest-cov==2.11.1

noxfile.py

@@ -3,9 +3,10 @@
 nox.options.sessions = []
 nox.options.reuse_existing_virtualenvs = True
 
-TESTED_PYTHON_VERSIONS = ["3.8", "3.9", "3.10", "3.11"]
-TESTED_PYDANTIC_VERSIONS = ["1.8.2", "1.9.2", "1.10.9"]
-TESTED_PYYAML_VERSIONS = ["5.4.1", "6.0"]
+# These should match what is in the `pr_checks.yml` file for CI runs
+TESTED_PYTHON_VERSIONS = ["3.9", "3.10", "3.11"]
+TESTED_PYDANTIC_VERSIONS = ["2.2.1", "2.3.0", "2.4.2", "2.5.0"]
+TESTED_PYYAML_VERSIONS = ["5.4.1", "6.0.1"]
 
 
 def install_requirements(session: nox.Session) -> None:

pyproject.toml

@@ -9,13 +9,12 @@ name = "fideslang"
 description = "Fides Taxonomy Language"
 dynamic = ["dependencies", "version"]
 readme = "README.md"
-requires-python = ">=3.8, <4"
+requires-python = ">=3.9, <4"
 authors = [{ name = "Ethyca, Inc.", email = "[email protected]" }]
 license = { text = "Apache License 2.0" }
 classifiers = [
     "License :: OSI Approved :: Apache Software License",
     "Programming Language :: Python :: 3 :: Only",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",

requirements.txt

@@ -1,3 +1,3 @@
-pydantic>=1.8.1,<1.11.0
+pydantic>=2.2.1,<=2.6.0
 pyyaml>=5,<7
 packaging>=20.0

src/fideslang/__init__.py

@@ -33,7 +33,6 @@
     DataSubject,
     DataUse,
     Evaluation,
-    FidesCollectionKey,
     FidesDatasetReference,
     FidesMeta,
     FidesModel,
@@ -46,6 +45,7 @@
     System,
     Taxonomy,
 )
+from .validation import FidesCollectionKey
 
 FidesModelType = Union[Type[FidesModel], Type[Evaluation]]
 model_map: Dict[str, FidesModelType] = {

src/fideslang/default_taxonomy/utils.py

@@ -18,5 +18,5 @@ def default_factory(taxonomy_class: CustomType, **kwargs: Dict) -> CustomType:
         # This is the version where we started tracking from, so
         # we use it as the default starting point.
         kwargs["version_added"] = "2.0.0"  # type: ignore[assignment]
-    item = taxonomy_class.parse_obj(kwargs)
+    item = taxonomy_class.model_validate(obj=kwargs)
     return item

src/fideslang/gvl/__init__.py

@@ -50,16 +50,16 @@ def _load_data() -> None:
     ) as mapping_file:
         data = load(mapping_file)
         for raw_purpose in data["purposes"].values():
-            purpose = Purpose.parse_obj(raw_purpose)
-            mapped_purpose = MappedPurpose.parse_obj(raw_purpose)
+            purpose = Purpose.model_validate(raw_purpose)
+            mapped_purpose = MappedPurpose.model_validate(raw_purpose)
             GVL_PURPOSES[purpose.id] = purpose
             MAPPED_PURPOSES[mapped_purpose.id] = mapped_purpose
             for data_use in mapped_purpose.data_uses:
                 MAPPED_PURPOSES_BY_DATA_USE[data_use] = mapped_purpose
 
         for raw_special_purpose in data["specialPurposes"].values():
-            special_purpose = Purpose.parse_obj(raw_special_purpose)
-            mapped_special_purpose = MappedPurpose.parse_obj(raw_special_purpose)
+            special_purpose = Purpose.model_validate(raw_special_purpose)
+            mapped_special_purpose = MappedPurpose.model_validate(raw_special_purpose)
             GVL_SPECIAL_PURPOSES[special_purpose.id] = special_purpose
             MAPPED_SPECIAL_PURPOSES[mapped_special_purpose.id] = mapped_special_purpose
             for data_use in mapped_special_purpose.data_uses:
@@ -71,12 +71,12 @@ def _load_data() -> None:
         feature_data = load(feature_mapping_file)
 
         for raw_feature in feature_data["features"].values():
-            feature = Feature.parse_obj(raw_feature)
+            feature = Feature.model_validate(raw_feature)
             GVL_FEATURES[feature.id] = feature
             FEATURES_BY_NAME[feature.name] = feature
 
         for raw_special_feature in feature_data["specialFeatures"].values():
-            special_feature = Feature.parse_obj(raw_special_feature)
+            special_feature = Feature.model_validate(raw_special_feature)
             GVL_SPECIAL_FEATURES[special_feature.id] = special_feature
             FEATURES_BY_NAME[special_feature.name] = special_feature
 
@@ -86,8 +86,8 @@ def _load_data() -> None:
         data_category_data = load(data_category_mapping_file)
 
         for raw_data_category in data_category_data.values():
-            data_category = GVLDataCategory.parse_obj(raw_data_category)
-            mapped_data_category = MappedDataCategory.parse_obj(raw_data_category)
+            data_category = GVLDataCategory.model_validate(raw_data_category)
+            mapped_data_category = MappedDataCategory.model_validate(raw_data_category)
             GVL_DATA_CATEGORIES[data_category.id] = data_category
             MAPPED_GVL_DATA_CATEGORIES[mapped_data_category.id] = mapped_data_category