Preprocessing pipeline

* Change defaults & usage filter_by/value in get_vectorfile_ign
* Add simili pipeline for preprocessing datasets (national AdminExpress with/without urban districts, living areas
* Store preprocessed datasets on MinIO

cartiflette/public/client.py

@@ -189,6 +189,8 @@ def get_vectorfile_ign(
     territory: str = "*",
     borders: str = "COMMUNE",
     crs: str = "*",
+    filter_by: str = "origin",
+    value: str = "raw",
     bucket=cartiflette.BUCKET,
     path_within_bucket=cartiflette.PATH_WITHIN_BUCKET,
     type_download: str = "https",
@@ -237,8 +239,8 @@ def get_vectorfile_ign(
         "year": year,
         "borders": borders,
         "crs": crs,
-        "filter_by": None,
-        "value": None,
+        "filter_by": filter_by,
+        "value": value,
         "provider": "cartiflette",
         "dataset_family": dataset_family,
         "source": source,

cartiflette/public/output.py

@@ -141,8 +141,6 @@ def download_file_single(
     )
 
     with tempfile.TemporaryDirectory() as tdir:
-        print("=" * 50)
-        print(tdir)
         if type_download == "bucket":
             try:
                 if not fs.exists(url):
@@ -161,9 +159,6 @@ def download_file_single(
 
                 else:
                     local_path = f"{tdir}/{os.path.basename(url)}"
-                    print("-" * 50)
-                    print(url)
-                    print(local_path)
                     fs.download(url, local_path)
 
         else: