Datasets:
Bappadala Rohith Kumar Naidu
feat: complete enterprise-grade dataset sync of RAG, offline bundles, and pipeline scripts
92cf271 | from __future__ import annotations | |
| import argparse | |
| import asyncio | |
| import json | |
| from datetime import datetime, timezone | |
| from pathlib import Path | |
| from geoalchemy2.elements import WKTElement | |
| from sqlalchemy.dialects.postgresql import insert | |
| from core.config import get_settings | |
| from core.database import AsyncSessionLocal | |
| from models.emergency import EmergencyService | |
| from services.emergency_locator import CITY_CENTERS, OFFLINE_CITY_CENTERS | |
| from services.overpass_service import OverpassService | |
| OFFLINE_DIR = Path(__file__).resolve().parent / 'offline' | |
| FRONTEND_GEOJSON_PATH = Path(__file__).resolve().parents[2] / 'frontend' / 'public' / 'offline-data' / 'india-emergency.geojson' | |
| CITY_GROUPS: dict[str, list[str]] = { | |
| 'metros': ['bengaluru', 'chennai', 'delhi', 'hyderabad', 'kolkata', 'mumbai', 'pune'], | |
| 'south': ['bengaluru', 'chennai', 'coimbatore', 'hyderabad', 'kochi', 'madurai', 'mysuru', 'thiruvananthapuram', 'tiruchirappalli', 'vijayawada', 'visakhapatnam'], | |
| 'north': ['chandigarh', 'dehradun', 'delhi', 'gurugram', 'jaipur', 'jammu', 'lucknow', 'noida', 'srinagar'], | |
| 'east': ['agartala', 'bhubaneswar', 'gangtok', 'guwahati', 'imphal', 'itanagar', 'kolkata', 'patna', 'ranchi', 'shillong', 'siliguri'], | |
| 'west': ['ahmedabad', 'amritsar', 'bhopal', 'indore', 'mumbai', 'nagpur', 'panaji', 'pune', 'raipur', 'surat'], | |
| 'pan_india': sorted(OFFLINE_CITY_CENTERS.keys()), | |
| } | |
| def _service_to_feature(city: str, service) -> dict: | |
| return { | |
| 'type': 'Feature', | |
| 'id': f'{city}:{service.id}', | |
| 'geometry': { | |
| 'type': 'Point', | |
| 'coordinates': [service.lon, service.lat], | |
| }, | |
| 'properties': { | |
| 'city': city.title(), | |
| 'name': service.name, | |
| 'category': service.category, | |
| 'sub_category': service.sub_category, | |
| 'phone': service.phone, | |
| 'phone_emergency': service.phone_emergency, | |
| 'address': service.address, | |
| 'has_trauma': service.has_trauma, | |
| 'has_icu': service.has_icu, | |
| 'is_24hr': service.is_24hr, | |
| 'source': service.source, | |
| }, | |
| } | |
| def _write_geojson(path: Path, *, cities: list[str], features: list[dict]) -> None: | |
| payload = { | |
| 'type': 'FeatureCollection', | |
| 'properties': { | |
| 'generated_at': datetime.now(timezone.utc).replace(tzinfo=None).isoformat(timespec='seconds') + 'Z', | |
| 'cities': [city.title() for city in cities], | |
| 'source': 'overpass', | |
| 'feature_count': len(features), | |
| }, | |
| 'features': features, | |
| } | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| path.write_text(json.dumps(payload, indent=2), encoding='utf-8') | |
| async def seed_city(city: str, lat: float, lon: float, *, export_offline: bool, limit: int) -> tuple[int, list[dict]]: | |
| settings = get_settings() | |
| overpass_service = OverpassService(settings) | |
| try: | |
| services = await overpass_service.search_services( | |
| lat=lat, | |
| lon=lon, | |
| radius=settings.max_radius, | |
| categories=['hospital', 'police', 'ambulance', 'fire', 'towing', 'pharmacy'], | |
| limit=limit, | |
| ) | |
| finally: | |
| await overpass_service.aclose() | |
| rows: list[dict] = [] | |
| seen_osm_ids: set[int] = set() | |
| for service in services: | |
| osm_id = int(service.id) if str(service.id).isdigit() else None | |
| if osm_id is not None and osm_id in seen_osm_ids: | |
| continue | |
| if osm_id is not None: | |
| seen_osm_ids.add(osm_id) | |
| rows.append( | |
| { | |
| 'osm_id': osm_id, | |
| 'osm_type': 'node_or_way', | |
| 'name': service.name, | |
| 'category': service.category, | |
| 'sub_category': service.sub_category, | |
| 'address': service.address, | |
| 'phone': service.phone, | |
| 'phone_emergency': service.phone_emergency, | |
| 'location': WKTElement(f'POINT({service.lon} {service.lat})', srid=4326), | |
| 'city': city.title(), | |
| 'district': city.title(), | |
| 'country_code': 'IN', | |
| 'is_24hr': service.is_24hr, | |
| 'has_trauma': service.has_trauma, | |
| 'has_icu': service.has_icu, | |
| 'source': 'overpass', | |
| 'raw_tags': None, | |
| 'verified': False, | |
| } | |
| ) | |
| async with AsyncSessionLocal() as session: | |
| if rows: | |
| stmt = insert(EmergencyService).values(rows) | |
| upsert = stmt.on_conflict_do_update( | |
| index_elements=['osm_id'], | |
| set_={ | |
| 'name': stmt.excluded.name, | |
| 'category': stmt.excluded.category, | |
| 'sub_category': stmt.excluded.sub_category, | |
| 'address': stmt.excluded.address, | |
| 'phone': stmt.excluded.phone, | |
| 'phone_emergency': stmt.excluded.phone_emergency, | |
| 'location': stmt.excluded.location, | |
| 'city': stmt.excluded.city, | |
| 'district': stmt.excluded.district, | |
| 'is_24hr': stmt.excluded.is_24hr, | |
| 'has_trauma': stmt.excluded.has_trauma, | |
| 'has_icu': stmt.excluded.has_icu, | |
| 'source': stmt.excluded.source, | |
| }, | |
| ) | |
| await session.execute(upsert) | |
| await session.commit() | |
| if export_offline: | |
| OFFLINE_DIR.mkdir(parents=True, exist_ok=True) | |
| payload = { | |
| 'city': city.title(), | |
| 'center': {'lat': lat, 'lon': lon}, | |
| 'services': [service.model_dump(mode='json') for service in services], | |
| } | |
| (OFFLINE_DIR / f'{city.lower()}.json').write_text(json.dumps(payload, indent=2), encoding='utf-8') | |
| return len(rows), [_service_to_feature(city, service) for service in services] | |
| async def main() -> None: | |
| parser = argparse.ArgumentParser(description='Seed emergency services from Overpass for major Indian cities.') | |
| parser.add_argument('--city', action='append', help='One or more city keys to seed. Defaults to the 25-city offline set.') | |
| parser.add_argument('--group', action='append', choices=sorted(CITY_GROUPS.keys()), help='Seed one or more predefined city groups.') | |
| parser.add_argument('--export-offline', action='store_true', help='Export per-city JSON bundles for offline use.') | |
| parser.add_argument( | |
| '--geojson-output', | |
| type=Path, | |
| default=FRONTEND_GEOJSON_PATH, | |
| help=f'Combined GeoJSON bundle output path. Defaults to {FRONTEND_GEOJSON_PATH}', | |
| ) | |
| parser.add_argument('--skip-geojson', action='store_true', help='Skip writing the combined frontend GeoJSON bundle.') | |
| parser.add_argument('--limit', type=int, default=300, help='Maximum emergency records to ingest per city (default: 300).') | |
| args = parser.parse_args() | |
| requested_cities = {city.strip().lower() for city in (args.city or [])} | |
| for group in args.group or []: | |
| requested_cities.update(CITY_GROUPS[group]) | |
| if not requested_cities: | |
| requested_cities = set(OFFLINE_CITY_CENTERS.keys()) | |
| requested = sorted(requested_cities) | |
| missing = [city for city in requested if city not in CITY_CENTERS] | |
| if missing: | |
| raise SystemExit(f'Unknown cities: {", ".join(missing)}') | |
| total = 0 | |
| geojson_features: list[dict] = [] | |
| for city in requested: | |
| lat, lon = CITY_CENTERS[city] | |
| seeded, features = await seed_city(city, lat, lon, export_offline=args.export_offline, limit=max(50, args.limit)) | |
| total += seeded | |
| geojson_features.extend(features) | |
| print(f'Seeded {seeded:3d} emergency services for {city.title()}') | |
| if not args.skip_geojson: | |
| _write_geojson(args.geojson_output, cities=requested, features=geojson_features) | |
| print(f'Wrote {len(geojson_features)} GeoJSON features to {args.geojson_output}') | |
| print(f'Total inserted or refreshed rows: {total}') | |
| if __name__ == '__main__': | |
| asyncio.run(main()) | |