Datasets:
File size: 1,284 Bytes
d710a81 92cf271 d710a81 92cf271 d710a81 92cf271 d710a81 92cf271 d710a81 92cf271 d710a81 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | from __future__ import annotations
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
LOGGER = logging.getLogger(__name__)
from pathlib import Path
ROOT_DIR = Path(__file__).resolve().parents[2]
from _overpass_utils import build_arg_parser, build_india_query, fetch_elements, normalize_row, write_rows
DEFAULT_OUTPUT = ROOT_DIR / 'chatbot_service' / 'data' / 'hospitals' / 'hospital_directory.csv'
SELECTORS = [
'node["amenity"~"hospital|clinic"](area.searchArea);',
'way["amenity"~"hospital|clinic"](area.searchArea);',
'relation["amenity"~"hospital|clinic"](area.searchArea);',
]
def main() -> None:
parser = build_arg_parser('Fetch India hospital and clinic data from Overpass.', DEFAULT_OUTPUT)
args = parser.parse_args()
query = build_india_query(SELECTORS, timeout=args.timeout)
elements = fetch_elements(query, endpoint=args.endpoint, timeout=args.timeout)
rows = [
row
for element in elements
if (row := normalize_row(element, default_type='hospital', fallback_name='Unnamed hospital')) is not None
]
count = write_rows(args.output, rows)
LOGGER.info(f'Saved {count} hospital records to {args.output}')
if __name__ == '__main__':
main()
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