SafeVixAI-Dataset-Hub / scripts /backend /data /fetch_datameet_boundaries.py
Bappadala Rohith Kumar Naidu
feat: complete enterprise-grade dataset sync of RAG, offline bundles, and pipeline scripts
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"""Standalone boundary fetcher β€” downloads GeoJSON from Datameet + India Geodata.
Downloads state and district boundary GeoJSON files from public GitHub repos.
No database needed β€” outputs to data/civic_intel/boundaries/.
Sources:
- Datameet Maps: https://github.com/datameet/maps
- India Maps Data: https://github.com/Subhash9325/GeoJSON-Data-of-Indian-States
Usage:
python scripts/data/fetch_datameet_boundaries.py
python scripts/data/fetch_datameet_boundaries.py --states-only
"""
from __future__ import annotations
import argparse
import json
import sys
import time
from pathlib import Path
try:
import httpx
except ImportError:
print('[ERROR] httpx is required. Run: pip install httpx')
sys.exit(1)
PROJECT_ROOT = Path(__file__).resolve().parents[2]
OUTPUT_DIR = PROJECT_ROOT / 'data' / 'civic_intel' / 'boundaries'
# Public GeoJSON sources (no API key needed)
SOURCES = {
'india_states': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/india.geojson',
'filename': 'india_states.geojson',
'description': 'All Indian state/UT boundaries',
},
}
# State-level district GeoJSON from Datameet
STATE_DISTRICT_SOURCES = {
'TN': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/tamil_nadu.geojson',
'filename': 'tn_districts.geojson',
},
'MH': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/maharashtra.geojson',
'filename': 'mh_districts.geojson',
},
'KA': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/karnataka.geojson',
'filename': 'ka_districts.geojson',
},
'AP': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/andhra_pradesh.geojson',
'filename': 'ap_districts.geojson',
},
'KL': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/kerala.geojson',
'filename': 'kl_districts.geojson',
},
'TS': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/telangana.geojson',
'filename': 'ts_districts.geojson',
},
'GJ': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/gujarat.geojson',
'filename': 'gj_districts.geojson',
},
'RJ': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/rajasthan.geojson',
'filename': 'rj_districts.geojson',
},
'DL': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/delhi.geojson',
'filename': 'dl_districts.geojson',
},
'UP': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/uttar_pradesh.geojson',
'filename': 'up_districts.geojson',
},
'WB': {
'url': 'https://raw.githubusercontent.com/udit-001/india-maps-data/main/geojson/states/west_bengal.geojson',
'filename': 'wb_districts.geojson',
},
}
def download_geojson(client: httpx.Client, url: str, output_path: Path) -> dict | None:
"""Download a GeoJSON file and validate it."""
try:
resp = client.get(url, timeout=60, follow_redirects=True)
resp.raise_for_status()
# Validate it's valid GeoJSON
data = resp.json()
if data.get('type') not in ('FeatureCollection', 'Feature', 'GeometryCollection'):
print(f' ⚠ Not valid GeoJSON (type={data.get("type")})')
return None
features = data.get('features', [])
# Save
output_path.parent.mkdir(parents=True, exist_ok=True)
with open(output_path, 'w', encoding='utf-8') as f:
json.dump(data, f)
size_kb = output_path.stat().st_size / 1024
return {'features': len(features), 'size_kb': round(size_kb, 1)}
except httpx.HTTPStatusError as exc:
print(f' βœ— HTTP {exc.response.status_code}: {url}')
return None
except Exception as exc:
print(f' βœ— Error: {exc}')
return None
def main():
parser = argparse.ArgumentParser(description='Fetch GeoJSON boundaries from Datameet')
parser.add_argument('--states-only', action='store_true', help='Only fetch state outlines')
args = parser.parse_args()
print(f'\n╔══════════════════════════════════════════╗')
print(f'β•‘ SafeVixAI Boundary GeoJSON Fetcher β•‘')
print(f'β•šβ•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•β•')
print(f' Output: {OUTPUT_DIR}')
print()
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
summary: dict[str, dict] = {}
with httpx.Client() as client:
# 1. Download India-wide boundaries
for key, source in SOURCES.items():
if args.states_only and key == 'india_districts':
continue
print(f' Downloading {source["description"]}...')
output_path = OUTPUT_DIR / source['filename']
result = download_geojson(client, source['url'], output_path)
if result:
print(f' βœ“ {source["filename"]}: {result["features"]} features, {result["size_kb"]} KB')
summary[key] = result
else:
print(f' βœ— {source["filename"]}: FAILED')
summary[key] = {'error': 'download failed'}
time.sleep(1)
# 2. Download state-level district boundaries
if not args.states_only:
print(f'\n Downloading state-level district boundaries...')
for state_code, source in STATE_DISTRICT_SOURCES.items():
output_path = OUTPUT_DIR / source['filename']
result = download_geojson(client, source['url'], output_path)
if result:
print(f' βœ“ {state_code}: {result["features"]} districts, {result["size_kb"]} KB')
summary[f'state_{state_code}'] = result
else:
print(f' βœ— {state_code}: FAILED')
summary[f'state_{state_code}'] = {'error': 'download failed'}
time.sleep(0.5)
# Save manifest
manifest_file = OUTPUT_DIR / 'boundaries_manifest.json'
with open(manifest_file, 'w', encoding='utf-8') as f:
json.dump(summary, f, indent=2)
# Print summary
print(f'\n{"═" * 50}')
print(f' BOUNDARY DOWNLOAD SUMMARY')
print(f'{"═" * 50}')
total_features = 0
total_kb = 0
for key, info in summary.items():
if 'error' not in info:
total_features += info.get('features', 0)
total_kb += info.get('size_kb', 0)
print(f' βœ“ {key:25s} {info["features"]:>5} features {info["size_kb"]:>8.1f} KB')
else:
print(f' βœ— {key:25s} FAILED')
print(f'{"─" * 50}')
print(f' {"TOTAL":25s} {total_features:>5} features {total_kb:>8.1f} KB')
print(f' Output: {OUTPUT_DIR}')
print()
if __name__ == '__main__':
main()