almost expecting the tests to pass 🤞🏽 - kamangir/bolt#746

blue_geo/__init__.py

@@ -4,7 +4,7 @@
 
 DESCRIPTION = f"{ICON} AI for precise geospatial data analysis and visualization."
 
-VERSION = "4.143.1"
+VERSION = "4.144.1"
 
 REPO_NAME = "blue-geo"
 

blue_geo/catalog/firms/area/__main__.py

@@ -2,9 +2,8 @@
 from datetime import datetime, timedelta
 from blue_geo import VERSION
 from abcli.plugins.metadata import post_to_object
-from blue_geo.catalog.firms.area import NAME
-from blue_geo.catalog.firms.area.enums import Area, Source
-from blue_geo.catalog.firms.area import FirmsAreaDatacube
+from .enums import Area, Source
+from . import FirmsAreaDatacube, NAME
 from blue_geo.logger import logger
 from blueness.argparse.generic import sys_exit
 

blue_geo/tests/test_datacube_firms_area.py → blue_geo/tests/test_catalog_firms_area.py

@@ -2,6 +2,7 @@
 import geopandas as gpd
 from abcli.modules.objects import unique_object
 from blue_geo.tests import assets
+from blue_geo.catalog.firms import FirmsCatalog
 from blue_geo.catalog.firms.area import enums, FirmsAreaDatacube
 
 
@@ -22,6 +23,10 @@ def test_datacube_from_query(
 
     datacube = FirmsAreaDatacube(area=area, source=source)
 
+    assert isinstance(datacube.catalog, FirmsCatalog)
+
+    assert datacube.datacube_id
+
     assert datacube.description
 
     assert datacube.ingest_url()
@@ -32,44 +37,44 @@ def test_datacube_from_query(
     assert success
     assert isinstance(gdf, gpd.GeoDataFrame)
 
-    assert datacube.datacube_id
-
 
 @pytest.mark.parametrize(
     ["datacube_id"],
     [
-        ["datacube-firms_area-world-MODIS_NRT-2024-07-20-1"],
+        [
+            [
+                datacube_id
+                for datacube_id, datacube_class in assets.datacubes.items()
+                if datacube_class == FirmsAreaDatacube
+            ][-1]
+        ],
     ],
 )
-def test_datacube_from_datacube_id(
-    datacube_id: str,
-):
+def test_datacube_from_datacube_id(datacube_id: str):
     object_name = unique_object()
 
-    datacube = FirmsAreaDatacube(datacube_id=datacube_id)
-
-    assert datacube.description
+    datacube = FirmsAreaDatacube(datacube_id)
 
-    assert datacube.ingest_url()
+    assert datacube.datacube_id
 
-    assert datacube.ingest_url(html=True)
+    assert datacube.description
 
-    success, gdf = datacube.ingest(object_name)
+    success, _ = datacube.ingest(object_name)
     assert success
-    assert isinstance(gdf, gpd.GeoDataFrame)
-
-    assert datacube.datacube_id
 
 
 @pytest.mark.parametrize(
     ["datacube_id", "expected_success"],
-    assets.datacube_firms_area_parse_datacube_id,
+    [
+        [
+            [datacube_id, datacube_class == FirmsAreaDatacube]
+            for datacube_id, datacube_class in assets.datacubes.items()
+        ]
+    ],
 )
 def test_parse_datacube_id(
     datacube_id: str,
     expected_success: bool,
 ):
-    success, segments = FirmsAreaDatacube.parse_datacube_id(datacube_id)
+    success, _ = FirmsAreaDatacube.parse_datacube_id(datacube_id)
     assert success == expected_success
-    if success:
-        assert segments