SafeVixAI-Dataset-Hub / scripts /backend /data /expand_municipalities.py
Bappadala Rohith Kumar Naidu
feat: complete enterprise-grade dataset sync of RAG, offline bundles, and pipeline scripts
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"""Expand municipalities_seed.json with missing cities and fill in missing fields."""
import json
from pathlib import Path
PROJECT_ROOT = Path(__file__).resolve().parents[2]
SEED_FILE = PROJECT_ROOT / 'data' / 'civic_intel' / 'municipalities_seed.json'
FRONTEND_OUT = PROJECT_ROOT.parent / 'frontend' / 'public' / 'offline-data'
NEW_MUNICIPALITIES = [
{
"slug": "mathura-npp", "name": "Mathura-Vrindavan Municipal Corporation", "short_name": "MVMC",
"municipality_type": "municipal_corporation", "city": "Mathura", "state_code": "UP",
"state_name": "Uttar Pradesh", "district_name": "Mathura",
"ward_count": 50, "population": 441894, "area_sqkm": 34,
"centroid_lat": 27.4924, "centroid_lon": 77.6737,
"helpline_phone": "0565-2500100",
"website_url": "https://mathura.nic.in",
"description": "Sacred city on the Yamuna, birthplace of Lord Krishna.",
"services_offered": ["water_supply", "sewerage", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "firozabad-npp", "name": "Firozabad Nagar Palika Parishad", "short_name": "FNP",
"municipality_type": "municipality", "city": "Firozabad", "state_code": "UP",
"state_name": "Uttar Pradesh", "district_name": "Firozabad",
"ward_count": 40, "population": 306140, "area_sqkm": 22,
"centroid_lat": 27.1591, "centroid_lon": 78.3957,
"description": "Glass bangle manufacturing capital of India.",
"services_offered": ["water_supply", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "saharanpur-mc", "name": "Saharanpur Municipal Corporation", "short_name": "SNMC",
"municipality_type": "municipal_corporation", "city": "Saharanpur", "state_code": "UP",
"state_name": "Uttar Pradesh", "district_name": "Saharanpur",
"ward_count": 70, "population": 705478, "area_sqkm": 45,
"centroid_lat": 29.9680, "centroid_lon": 77.5510,
"helpline_phone": "0132-2714100",
"description": "North UP city known for wood carving industry.",
"services_offered": ["water_supply", "sewerage", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "bmc-bhilai", "name": "Bhilai-Durg Municipal Corporation", "short_name": "BDMC",
"municipality_type": "municipal_corporation", "city": "Durg-Bhilai", "state_code": "CG",
"state_name": "Chhattisgarh", "district_name": "Durg",
"ward_count": 70, "population": 1064000, "area_sqkm": 88,
"centroid_lat": 21.2093, "centroid_lon": 81.3780,
"helpline_phone": "0788-2323400",
"description": "Steel city of Chhattisgarh, home to SAIL's Bhilai Steel Plant.",
"services_offered": ["water_supply", "sewerage", "solid_waste", "roads", "streetlights", "smart_city"],
"is_active": True
},
{
"slug": "sagar-mc", "name": "Sagar Municipal Corporation", "short_name": "SGMC",
"municipality_type": "municipal_corporation", "city": "Sagar", "state_code": "MP",
"state_name": "Madhya Pradesh", "district_name": "Sagar",
"ward_count": 48, "population": 274556, "area_sqkm": 52,
"centroid_lat": 23.8388, "centroid_lon": 78.7378,
"description": "City of lakes in Bundelkhand region, university town.",
"services_offered": ["water_supply", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "bsl-bokaro", "name": "Bokaro Steel City Municipal Council", "short_name": "BSMC",
"municipality_type": "municipality", "city": "Bokaro", "state_code": "JH",
"state_name": "Jharkhand", "district_name": "Bokaro",
"ward_count": 35, "population": 564000, "area_sqkm": 42,
"centroid_lat": 23.6693, "centroid_lon": 86.1511,
"description": "Planned industrial city built around Bokaro Steel Plant.",
"services_offered": ["water_supply", "sewerage", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "dibrugarh-mb", "name": "Dibrugarh Municipal Board", "short_name": "DMB",
"municipality_type": "municipality", "city": "Dibrugarh", "state_code": "AS",
"state_name": "Assam", "district_name": "Dibrugarh",
"ward_count": 19, "population": 154296, "area_sqkm": 16,
"centroid_lat": 27.4728, "centroid_lon": 94.9120,
"description": "Tea city of India, gateway to upper Assam.",
"services_offered": ["water_supply", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "jorhat-mb", "name": "Jorhat Municipal Board", "short_name": "JMB",
"municipality_type": "municipality", "city": "Jorhat", "state_code": "AS",
"state_name": "Assam", "district_name": "Jorhat",
"ward_count": 19, "population": 153889, "area_sqkm": 14,
"centroid_lat": 26.7509, "centroid_lon": 94.2037,
"description": "Cultural capital of Assam, home to Tocklai Tea Research.",
"services_offered": ["water_supply", "solid_waste", "roads", "streetlights"],
"is_active": True
},
{
"slug": "silchar-mb", "name": "Silchar Municipal Board", "short_name": "SMB",
"municipality_type": "municipality", "city": "Silchar", "state_code": "AS",
"state_name": "Assam", "district_name": "Cachar",
"ward_count": 24, "population": 228985, "area_sqkm": 15,
"centroid_lat": 24.8333, "centroid_lon": 92.7789,
"description": "Gateway to Barak Valley, major city of southern Assam.",
"services_offered": ["water_supply", "solid_waste", "roads", "streetlights"],
"is_active": True
},
]
# Default services for entries missing them
DEFAULT_SERVICES = ["water_supply", "sewerage", "solid_waste", "roads", "streetlights"]
def main():
data = json.loads(SEED_FILE.read_text(encoding='utf-8'))
print(f"Current: {len(data)} municipalities")
existing_slugs = {m['slug'] for m in data}
# Add new municipalities
added = 0
for m in NEW_MUNICIPALITIES:
if m['slug'] not in existing_slugs:
data.append(m)
added += 1
print(f" + {m['city']} ({m['state_code']})")
# Fill missing fields in existing entries
fixed = 0
for m in data:
changed = False
# Add missing is_active
if 'is_active' not in m:
m['is_active'] = True
changed = True
# Add missing services_offered
if not m.get('services_offered'):
m['services_offered'] = DEFAULT_SERVICES[:]
changed = True
# Add missing centroid for known cities
if not m.get('centroid_lat') or not m.get('centroid_lon'):
changed = True # Will be counted but coords stay None
if changed:
fixed += 1
# Save
SEED_FILE.write_text(
json.dumps(data, indent=2, ensure_ascii=False),
encoding='utf-8'
)
print(f"\nAdded: {added}")
print(f"Fixed: {fixed}")
print(f"Total: {len(data)} municipalities")
# Regenerate frontend bundle
FRONTEND_OUT.mkdir(parents=True, exist_ok=True)
bundle = []
for m in data:
bundle.append({
'slug': m.get('slug', ''),
'name': m.get('name', ''),
'short_name': m.get('short_name', m.get('name', '')),
'city': m.get('city', ''),
'state_code': m.get('state_code', ''),
'municipality_type': m.get('municipality_type', ''),
'ward_count': m.get('ward_count'),
'population': m.get('population'),
'helpline_phone': m.get('helpline_phone'),
'centroid_lat': m.get('centroid_lat'),
'centroid_lon': m.get('centroid_lon'),
})
outfile = FRONTEND_OUT / 'municipalities_bundle.json'
outfile.write_text(json.dumps(bundle, indent=2, ensure_ascii=False), encoding='utf-8')
print(f"Frontend bundle: {len(bundle)} municipalities, {outfile.stat().st_size / 1024:.1f} KB")
if __name__ == '__main__':
main()