Create Python script to export to GEE

.isort.cfg

@@ -2,4 +2,4 @@
 line_length = 88
 multi_line_output = 3
 include_trailing_comma = True
-known_third_party = _pytest,aenum,affine,aiohttp,alembic,async_lru,asyncpg,aws_utils,boto3,botocore,click,docker,errors,fastapi,fiona,gdal_utils,geoalchemy2,geojson,gfw_pixetl,gino,gino_starlette,google,httpx,httpx_auth,logger,logging_utils,moto,numpy,orjson,osgeo,pandas,pendulum,pglast,psutil,psycopg2,pydantic,pyproj,pytest,pytest_asyncio,rasterio,shapely,sqlalchemy,sqlalchemy_utils,starlette,tileputty,typer
+known_third_party = _pytest,aenum,affine,aiohttp,alembic,async_lru,asyncpg,aws_utils,boto3,botocore,click,docker,ee,errors,fastapi,fiona,gdal_utils,geoalchemy2,geojson,gfw_pixetl,gino,gino_starlette,google,httpx,httpx_auth,logger,logging_utils,moto,numpy,orjson,osgeo,pandas,pendulum,pglast,psutil,psycopg2,pydantic,pyproj,pytest,pytest_asyncio,rasterio,shapely,sqlalchemy,sqlalchemy_utils,starlette,tileputty,typer

app/models/pydantic/creation_options.py

@@ -356,8 +356,18 @@ class COGCreationOptions(StrictBaseModel):
         ResamplingMethod.average,
         description="Resampling method used to downsample overviews",
     )
-    block_size: Optional[TileBlockSize] = 512
+    block_size: Optional[TileBlockSize] = Field(
+        512,
+        description="Block size to tile COG with.",
+    )
     compute_stats: bool = False
+    export_to_gee: bool = Field(
+        False,
+        description="Option to export COG to a Google Cloud Storage and create"
+        " a COG-backed asset on Google Earth Engine (GEE). The asset will be created"
+        " under the project `forma-250` with the asset ID `{dataset}/{implementation}. "
+        "Versioning is currently not supported due to GEE storage constraints.",
+    )
 
 
 class DynamicVectorTileCacheCreationOptions(TileCacheBaseModel):

app/tasks/cog_assets.py

@@ -86,8 +86,15 @@ async def create_cogify_job(
         resample_method,
         "--block_size",
         creation_options.block_size.value,
+        "-d",
+        dataset,
+        "-I",
+        creation_options.implementation,
     ]
 
+    if creation_options.export_to_gee:
+        command += ["--export_to_gee"]
+
     job_name: str = sanitize_batch_job_name(
         f"COGify_{dataset}_{version}_{creation_options.implementation}"
     )

batch/gdal-python.dockerfile

@@ -11,6 +11,8 @@ RUN chmod +x -R /opt/python/
 ENV PATH="/opt/scripts:${PATH}"
 ENV PATH="/opt/python:${PATH}"
 
+RUN pip install earthengine-api
+
 ENV WORKDIR="/tmp"
 
 ENTRYPOINT ["/opt/scripts/report_status.sh"]

batch/python/export_to_gee.py

@@ -0,0 +1,69 @@
+import json
+import os
+
+import boto3
+import ee
+from google.auth.transport.requests import AuthorizedSession
+from google.cloud import storage
+from typer import Option, run
+
+EE_PROJECT = "forma-250"
+GCS_BUCKET = "data-api-gee-assets"
+GCS_SECRET_KEY_ARN = os.environ["GCS_SECRET_KEY_ARN"]
+GCS_CREDENTIALS_FILE = "gcs_credentials.json"
+
+
+def set_google_application_credentials():
+    client = boto3.client("secretsmanager")
+    response = client.get_secret_value(SecretId=GCS_SECRET_KEY_ARN)
+
+    with open(GCS_CREDENTIALS_FILE, "w") as f:
+        f.write(response["SecretString"])
+
+    os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = GCS_CREDENTIALS_FILE
+
+    return json.loads(response["SecretString"])["client_email"]
+
+
+def upload_cog_to_gcs(dataset, implementation):
+    """Uploads a file to the bucket."""
+
+    storage_client = storage.Client()
+    bucket = storage_client.bucket(GCS_BUCKET)
+    blob = bucket.blob(f"{dataset}/{implementation}.tif")
+
+    blob.upload_from_filename("cog.tif")
+
+    return f"gs://{GCS_BUCKET}/{dataset}/{implementation}.tif"
+
+
+def create_cog_backed_asset(dataset, implementation, gcs_path, service_account):
+    credentials = ee.ServiceAccountCredentials(service_account, GCS_CREDENTIALS_FILE)
+    session = AuthorizedSession(credentials.with_quota_project(EE_PROJECT))
+
+    request = {"type": "IMAGE", "gcs_location": {"uris": [gcs_path]}}
+
+    asset_id = f"{dataset}/{implementation}"
+    url = "https://earthengine.googleapis.com/v1alpha/projects/{}/assets?assetId={}"
+
+    response = session.post(
+        url=url.format(EE_PROJECT, asset_id), data=json.dumps(request)
+    )
+
+    if response.status_code != 200:
+        raise Exception(
+            f"GEE returned unexpected status code {response.status_code} with payload {response.content}"
+        )
+
+
+def export_to_gee(
+    dataset: str = Option(..., help="Dataset name."),
+    implementation: str = Option(..., help="Implementation name."),
+):
+    service_account = set_google_application_credentials()
+    gcs_path = upload_cog_to_gcs(dataset, implementation)
+    create_cog_backed_asset(gcs_path, dataset, implementation, service_account)
+
+
+if __name__ == "__main__":
+    run(export_to_gee)

batch/scripts/cogify.sh

@@ -7,6 +7,9 @@ set -e
 # -T | --target
 # --block_size
 # -r | --resample
+# -G | --export_to_gee
+# -d | --dataset
+# -I | --implementation
 
 ME=$(basename "$0")
 . get_arguments.sh "$@"
@@ -37,5 +40,10 @@ fi
 
 # upload to data lake
 aws s3 cp cog.tif "${TARGET}"
+
+if [ -z "$EXPORT_TO_GEE" ]; then
+  python export_to_gee.py --dataset "${DATASET}" --implementation "${IMPLEMENTATION}"
+fi
+
 set +x
 

batch/scripts/get_arguments.sh

@@ -100,6 +100,11 @@ do
       shift # past argument
       shift # past value
       ;;
+      -G|--export_to_gee)
+      EXPORT_TO_GEE="$2"
+      shift # past argument
+      shift # past value
+      ;;
       -i|--fid_name)
       FID_NAME="$2"
       shift # past argument