Merge pull request #6 from FZJ-IEK3-VSA/develop

test LULC data

tests/test_collected_data.py

@@ -0,0 +1,57 @@
+from zoomin.db_access import get_table
+
+
+def test_land_use_and_land_cover():
+    var_names = [
+        "continuous_urban_fabric_cover",
+        "discontinuous_urban_fabric_cover",
+        "industrial_or_commercial_units_cover",
+        "road_and_rail_networks_cover",
+        "port_areas_cover",
+        "airports_cover",
+        "mineral_extraction_sites_cover",
+        "dump_sites_cover",
+        "construction_sites_cover",
+        "green_urban_areas_cover",
+        "sport_and_leisure_facilities_cover",
+        "non_irrigated_arable_land_cover",
+        "permanently_irrigated_land_cover",
+        "rice_fields_cover",
+        "vineyards_cover",
+        "fruit_trees_and_berry_plantations_cover",
+        "olive_groves_cover",
+        "pastures_cover",
+        "permanent_crops_cover",
+        "complex_cultivation_patterns_cover",
+        "agriculture_with_natural_vegetation_cover",
+        "agro_forestry_areas_cover",
+        "broad_leaved_forest_cover",
+        "coniferous_forest_cover",
+        "mixed_forest_cover",
+        "natural_grasslands_cover",
+        "moors_and_heathland_cover",
+        "sclerophyllous_vegetation_cover",
+        "transitional_woodland_shrub_cover",
+        "beaches_dunes_and_sand_cover",
+        "bare_rocks_cover",
+        "sparsely_vegetated_areas_cover",
+        "burnt_areas_cover",
+        "glaciers_and_perpetual_snow_cover",
+        "inland_marshes_cover",
+        "peat_bogs_cover",
+        "salt_marshes_cover",
+        "salines_cover",
+        "intertidal_flats_cover",
+        "water_courses_cover",
+        "water_bodies_cover",
+        "coastal_lagoons_cover",
+        "estuaries_cover",
+        "sea_and_ocean_cover",
+        "land_use_no_data_cover",
+    ]
+
+    sql_cmd = f"SELECT value processed_data WHERE var_detail_id in (SELECT id FROM var_details WHERE var_name IN {var_names});"
+
+    data_df = get_table(sql_cmd)
+
+    assert data_df.value.sum() <= 302.073  # FOR ITALY