Create etl.py

etl.py

@@ -0,0 +1,41 @@
+import duckdb
+import geopandas as gpd
+duckdb.install_extension("httpfs")
+duckdb.load_extension("httpfs")
+duckdb.install_extension("aws")
+duckdb.load_extension("aws")
+duckdb.install_extension("spatial")
+duckdb.load_extension("spatial")
+duckdb.sql("CALL register_geoarrow_extensions()")
+
+OVERTURE_MAPS_VERSION = "2025-09-24.0"
+OVERTURE_MAPS_THEME = "buildings"
+OVERTURE_MAPS_TYPE = "building"
+
+counties_gdf = (
+    gpd.read_file(
+        "https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json"
+    )
+    .astype({"id": "int32", "STATE": "int32"})
+    .rename(columns={"id": "fips", "STATE": "state", "NAME": "county_name"})
+)
+md_counties_gdf = counties_gdf[counties_gdf["state"] == 24]
+md_gdf = md_counties_gdf.dissolve(by='state')
+md_polygon = md_gdf.geometry.squeeze()
+minx, miny, maxx, maxy = md_polygon.bounds
+md_wkt = md_polygon.wkt
+query = f"""
+PRAGMA enable_print_progress_bar;
+SET s3_region='us-west-2';
+COPY(
+SELECT
+    *
+FROM
+    read_parquet('s3://overturemaps-us-west-2/release/{OVERTURE_MAPS_VERSION}/theme={OVERTURE_MAPS_THEME}/type={OVERTURE_MAPS_TYPE}/*', filename=true, hive_partitioning=1)
+WHERE
+    bbox.xmin BETWEEN {minx} AND {maxx}
+    AND bbox.ymin BETWEEN {miny} AND {maxy}
+    AND ST_Intersects(ST_GeomFromText('{md_wkt}'), geometry)
+) TO 'theme={OVERTURE_MAPS_THEME}_type={OVERTURE_MAPS_TYPE}_{OVERTURE_MAPS_VERSION}-MD.parquet' (FORMAT parquet);
+"""
+duckdb.sql(query)