Datasets:
Bappadala Rohith Kumar Naidu
feat: complete enterprise-grade dataset sync of RAG, offline bundles, and pipeline scripts
92cf271 | """Generate frontend civic_features_summary.json from downloaded OSM data. | |
| Reads all CSVs from data/civic_intel/osm_features/ and creates a lightweight | |
| summary for the frontend /civic-intel dashboard when backend is offline. | |
| Usage: | |
| python scripts/data/generate_frontend_civic_summary.py | |
| """ | |
| from __future__ import annotations | |
| import csv | |
| import json | |
| from pathlib import Path | |
| PROJECT_ROOT = Path(__file__).resolve().parents[2] | |
| OSM_DIR = PROJECT_ROOT / 'data' / 'civic_intel' / 'osm_features' | |
| FRONTEND_OUT = PROJECT_ROOT.parent / 'frontend' / 'public' / 'offline-data' | |
| def main(): | |
| FRONTEND_OUT.mkdir(parents=True, exist_ok=True) | |
| if not OSM_DIR.exists(): | |
| print('No OSM features directory found') | |
| return | |
| # Parse all CSV files: {city}_{feature_type}.csv | |
| summary = {} | |
| total_features = 0 | |
| for csv_file in sorted(OSM_DIR.glob('*.csv')): | |
| parts = csv_file.stem.rsplit('_', 1) | |
| if len(parts) != 2: | |
| continue | |
| city, feature_type = parts | |
| try: | |
| with open(csv_file, 'r', encoding='utf-8') as f: | |
| count = sum(1 for _ in csv.reader(f)) - 1 # minus header | |
| except Exception: | |
| count = 0 | |
| if count > 0: | |
| summary.setdefault(city, {}) | |
| summary[city][feature_type] = count | |
| total_features += count | |
| # Add total per city | |
| for city in summary: | |
| summary[city]['_total'] = sum(v for k, v in summary[city].items() if k != '_total') | |
| # Write output | |
| out_file = FRONTEND_OUT / 'civic_features_summary.json' | |
| out_file.write_text(json.dumps(summary, indent=2), encoding='utf-8') | |
| print(f'Cities: {len(summary)}') | |
| print(f'Total features: {total_features:,}') | |
| print(f'Output: {out_file}') | |
| for city, counts in sorted(summary.items(), key=lambda x: x[1].get('_total', 0), reverse=True): | |
| total = counts.get('_total', 0) | |
| top = sorted([(k, v) for k, v in counts.items() if k != '_total'], key=lambda x: x[1], reverse=True)[:3] | |
| top_str = ', '.join(f'{k}={v}' for k, v in top) | |
| print(f' {city:20s} {total:>6,} [{top_str}]') | |
| if __name__ == '__main__': | |
| main() | |