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 csv | |
| import json | |
| import urllib.parse | |
| import urllib.request | |
| from pathlib import Path | |
| from typing import Iterable | |
| DEFAULT_ENDPOINTS = ( | |
| 'https://overpass-api.de/api/interpreter', | |
| 'https://overpass.kumi.systems/api/interpreter', | |
| 'https://lz4.overpass-api.de/api/interpreter', | |
| ) | |
| DEFAULT_HEADERS = { | |
| 'Content-Type': 'application/x-www-form-urlencoded; charset=utf-8', | |
| 'User-Agent': 'SafeVixAI bootstrap scripts/1.0', | |
| } | |
| CSV_COLUMNS = [ | |
| 'osm_id', | |
| 'osm_type', | |
| 'name', | |
| 'lat', | |
| 'lon', | |
| 'phone', | |
| 'type', | |
| 'city', | |
| 'state', | |
| 'address', | |
| 'opening_hours', | |
| 'website', | |
| 'source', | |
| ] | |
| def build_arg_parser(description: str, default_output: Path) -> argparse.ArgumentParser: | |
| parser = argparse.ArgumentParser(description=description) | |
| parser.add_argument( | |
| '--output', | |
| type=Path, | |
| default=default_output, | |
| help=f'CSV path to write. Defaults to {default_output}', | |
| ) | |
| parser.add_argument( | |
| '--endpoint', | |
| help='Optional Overpass endpoint override. Defaults to a built-in fallback list.', | |
| ) | |
| parser.add_argument( | |
| '--timeout', | |
| type=int, | |
| default=300, | |
| help='HTTP timeout in seconds. Defaults to 300.', | |
| ) | |
| return parser | |
| def build_india_query(selectors: Iterable[str], *, timeout: int) -> str: | |
| joined_selectors = '\n '.join(selector.strip() for selector in selectors if selector.strip()) | |
| return ( | |
| f'[out:json][timeout:{timeout}];\n' | |
| 'area["ISO3166-1"="IN"][admin_level=2]->.searchArea;\n' | |
| '(\n' | |
| f' {joined_selectors}\n' | |
| ');\n' | |
| 'out center tags;' | |
| ) | |
| def fetch_elements(query: str, *, endpoint: str | None, timeout: int, **kwargs) -> list[dict]: | |
| payload = urllib.parse.urlencode({'data': query}).encode('utf-8') | |
| endpoints = [endpoint] if endpoint else list(DEFAULT_ENDPOINTS) | |
| last_error: Exception | None = None | |
| for url in endpoints: | |
| request = urllib.request.Request(url, data=payload, headers=DEFAULT_HEADERS, method='POST') | |
| try: | |
| with urllib.request.urlopen(request, timeout=timeout) as response: | |
| decoded = response.read().decode('utf-8') | |
| data = json.loads(decoded) | |
| return list(data.get('elements', [])) | |
| except Exception as exc: # pragma: no cover - network failure path | |
| last_error = exc | |
| raise SystemExit(f'Unable to fetch data from Overpass. Last error: {last_error}') | |
| def extract_point(element: dict) -> tuple[float | None, float | None]: | |
| if 'lat' in element and 'lon' in element: | |
| return float(element['lat']), float(element['lon']) | |
| center = element.get('center') or {} | |
| if 'lat' in center and 'lon' in center: | |
| return float(center['lat']), float(center['lon']) | |
| return None, None | |
| def compose_address(tags: dict[str, str]) -> str: | |
| parts = [ | |
| tags.get('addr:housenumber'), | |
| tags.get('addr:street'), | |
| tags.get('addr:suburb'), | |
| tags.get('addr:city') or tags.get('addr:town') or tags.get('addr:village'), | |
| tags.get('addr:state'), | |
| ] | |
| return ', '.join(part for part in parts if part) | |
| def normalize_row(element: dict, *, default_type: str, fallback_name: str, **kwargs) -> dict | None: | |
| lat, lon = extract_point(element) | |
| if lat is None or lon is None: | |
| return None | |
| tags = element.get('tags', {}) | |
| amenity_type = tags.get('amenity') or tags.get('healthcare') or tags.get('emergency') or default_type | |
| return { | |
| 'osm_id': str(element.get('id', '')), | |
| 'osm_type': str(element.get('type', '')), | |
| 'name': tags.get('name') or fallback_name, | |
| 'lat': f'{lat:.6f}', | |
| 'lon': f'{lon:.6f}', | |
| 'phone': tags.get('phone') or tags.get('contact:phone') or tags.get('emergency:phone') or '', | |
| 'type': amenity_type, | |
| 'city': tags.get('addr:city') or tags.get('addr:town') or tags.get('addr:village') or '', | |
| 'state': tags.get('addr:state') or '', | |
| 'address': compose_address(tags), | |
| 'opening_hours': tags.get('opening_hours') or '', | |
| 'website': tags.get('website') or tags.get('contact:website') or '', | |
| 'source': 'overpass', | |
| } | |
| def dedupe_rows(rows: Iterable[dict]) -> list[dict]: | |
| seen: set[tuple[str, str, str, str]] = set() | |
| deduped: list[dict] = [] | |
| for row in rows: | |
| key = ( | |
| row.get('name', '').strip().lower(), | |
| row.get('type', '').strip().lower(), | |
| row.get('lat', ''), | |
| row.get('lon', ''), | |
| ) | |
| if key in seen: | |
| continue | |
| seen.add(key) | |
| deduped.append(row) | |
| deduped.sort(key=lambda item: (item['state'], item['city'], item['name'])) | |
| return deduped | |
| def write_rows(path: Path, rows: Iterable[dict]) -> int: | |
| path.parent.mkdir(parents=True, exist_ok=True) | |
| materialized = dedupe_rows(rows) | |
| with path.open('w', newline='', encoding='utf-8') as handle: | |
| writer = csv.DictWriter(handle, fieldnames=CSV_COLUMNS) | |
| writer.writeheader() | |
| writer.writerows(materialized) | |
| return len(materialized) | |