Bappadala Rohith Kumar Naidu
feat: complete enterprise-grade dataset sync of RAG, offline bundles, and pipeline scripts
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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)