overture-data

You are helping the user download Overture Maps data using geoai.

Input: $@

Follow these steps in order.

Step 1 -- Parse arguments

Extract:

• $0 or the first positional argument as the Overture data type
• --bbox minx,miny,maxx,maxy as the bounding box (required)
• --output FILE as the output file path (optional, default: ./<data_type>_overture.gpkg)

Valid Overture data types: address, building, building_part, division, division_area, division_boundary, place, segment, connector, infrastructure, land, land_cover, land_use, water

If the data type is not recognized, print the list of valid types and ask the user to pick one.

If the user provided natural language (e.g. "get buildings in downtown Nashville"), extract the data type and either infer or ask for the bounding box.

Step 2 -- Validate the bounding box

Confirm the bounding box has 4 numeric values:

• minx < maxx and miny < maxy
• Values within WGS84 range

If validation fails, report the issue and ask for corrected coordinates.

Step 3 -- Download the data

For building data specifically

python3 -c "
import geoai

gdf = geoai.download_overture_buildings(
    bbox=(MINX, MINY, MAXX, MAXY),
    output='OUTPUT_PATH',
)
print(f'Features: {len(gdf)}')
print(f'Columns: {list(gdf.columns)}')
print(f'CRS: {gdf.crs}')
print(f'Bounds: {gdf.total_bounds.tolist()}')
print('---')
print('Sample (first 5 rows):')
print(gdf.head().to_string())
"

For all other data types

python3 -c "
import geoai

gdf = geoai.get_overture_data(
    overture_type='DATA_TYPE',
    bbox=(MINX, MINY, MAXX, MAXY),
    output='OUTPUT_PATH',
)
print(f'Features: {len(gdf)}')
print(f'Columns: {list(gdf.columns)}')
print(f'CRS: {gdf.crs}')
print(f'Bounds: {gdf.total_bounds.tolist()}')
print('---')
print('Sample (first 5 rows):')
print(gdf.head().to_string())
"

Replace DATA_TYPE, MINX, MINY, MAXX, MAXY, and OUTPUT_PATH with actual values.

Step 4 -- Update state