Refacto pipeline

.gitignore

@@ -130,4 +130,5 @@ dmypy.json
 
 *.sqlite
 *.sqlite*
-/argo-pipeline/src/cartiflette-s3-cache
+**/cartiflette-s3-cache/*
+*.json

Dockerfile

@@ -31,4 +31,6 @@ COPY docker/test.py .
 RUN curl https://install.python-poetry.org/ | python - 
 RUN poetry install --only main --no-interaction
 
+# TODO : is this necessary? This should throw an exception if datasets have not
+# already been (manually) uploaded ?
 CMD ["python", "test.py"]

argo-pipeline/api.py

@@ -1,10 +1,12 @@
 """A simple API to expose cartiflette files"""
+
 import typing
 from fastapi import FastAPI, Response
 from fastapi.responses import FileResponse
 
 from cartiflette.api import download_from_cartiflette_inner
-from cartiflette.config import PATH_WITHIN_BUCKET
+from cartiflette.config import PATH_WITHIN_BUCKET, DATASETS_HIGH_RESOLUTION
+from cartiflette.pipeline_constants import COG_TERRITOIRE  # , IRIS
 
 app = FastAPI(
     title="API de récupération des fonds de carte avec <code>cartiflette</code>",
@@ -42,9 +44,10 @@ def download_from_cartiflette_api(
         year=2022,
         crs=4326,
         simplification=simplification,
-        provider="IGN",
-        dataset_family="ADMINEXPRESS",
-        source="EXPRESS-COG-CARTO-TERRITOIRE",
+        provider="Cartiflette",
+        dataset_family="production",
+        # TODO : source can also be IRIS[DATASETS_HIGH_RESOLUTION]
+        source=COG_TERRITOIRE[DATASETS_HIGH_RESOLUTION],
         return_as_json=False,
         path_within_bucket=PATH_WITHIN_BUCKET,
     )