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 asyncio | |
| import json | |
| import os | |
| import zipfile | |
| from pathlib import Path | |
| from typing import Any | |
| import httpx | |
| from core.config import get_settings | |
| from scripts.app.import_road_infrastructure import ( | |
| _load_records, | |
| _normalize_record, | |
| import_records, | |
| ) | |
| def _resolve_manifest_path(path: str | None) -> Path: | |
| if path: | |
| return Path(path).resolve() | |
| return Path(__file__).resolve().with_name('road_sources.example.json') | |
| def _pick_extract_member(source: dict[str, Any], archive: zipfile.ZipFile) -> str: | |
| configured = source.get('extract_member') | |
| if configured: | |
| return str(configured) | |
| candidates = [ | |
| member | |
| for member in archive.namelist() | |
| if member.lower().endswith(('.csv', '.json', '.geojson')) | |
| ] | |
| if not candidates: | |
| raise ValueError(f'Archive for {source["name"]} does not contain CSV/JSON/GeoJSON data') | |
| return candidates[0] | |
| async def _download_source(source: dict[str, Any], settings) -> Path: | |
| url = source.get('url') | |
| if not url: | |
| local_path = source.get('path') | |
| if not local_path: | |
| raise ValueError(f'Source "{source["name"]}" must define either "path" or "url"') | |
| return Path(local_path).resolve() | |
| headers = {'User-Agent': settings.http_user_agent} | |
| params = dict(source.get('query_params') or {}) | |
| api_key_env = source.get('api_key_env') | |
| api_key_param = source.get('api_key_param') | |
| api_key_header = source.get('api_key_header') | |
| api_key = os.getenv(api_key_env) if api_key_env else settings.data_gov_api_key | |
| if api_key: | |
| if api_key_param: | |
| params[api_key_param] = api_key | |
| if api_key_header: | |
| headers[api_key_header] = api_key | |
| target_dir = settings.data_dir / 'official_downloads' | |
| target_dir.mkdir(parents=True, exist_ok=True) | |
| target_path = target_dir / f'{source["name"]}{Path(url).suffix or ".dat"}' | |
| async with httpx.AsyncClient( | |
| timeout=max(settings.request_timeout_seconds, 60), | |
| headers=headers, | |
| follow_redirects=True, | |
| ) as client: | |
| response = await client.get(url, params=params) | |
| response.raise_for_status() | |
| target_path.write_bytes(response.content) | |
| return target_path | |
| async def _materialize_source(source: dict[str, Any], settings) -> Path: | |
| downloaded = await _download_source(source, settings) | |
| if downloaded.suffix.lower() != '.zip': | |
| return downloaded | |
| with zipfile.ZipFile(downloaded) as archive: | |
| member = _pick_extract_member(source, archive) | |
| target_dir = settings.data_dir / 'official_downloads' / source['name'] | |
| target_dir.mkdir(parents=True, exist_ok=True) | |
| archive.extract(member, path=target_dir) | |
| return (target_dir / member).resolve() | |
| async def _import_source(source: dict[str, Any], settings) -> tuple[int, int]: | |
| input_path = await _materialize_source(source, settings) | |
| fmt = source.get('format', 'auto') | |
| raw_records = _load_records(input_path, fmt) | |
| records = [] | |
| skipped = 0 | |
| source_prefix = source['name'] # e.g. 'pmgsy_rural_roads' | |
| for index, raw_record in enumerate(raw_records, start=1): | |
| try: | |
| record = _normalize_record( | |
| raw_record, | |
| default_state_code=source.get('default_state_code'), | |
| default_project_source=source.get('default_project_source') or source['name'], | |
| default_data_source_url=source.get('default_data_source_url') or source.get('url'), | |
| index=index, | |
| ) | |
| # Prefix road_id with source name to guarantee global uniqueness. | |
| # e.g. 'MDR201' (repeats across states) -> 'pmgsy_rural_roads-MDR201-5' | |
| record.road_id = f'{source_prefix}-{record.road_id}-{index}' | |
| records.append(record) | |
| except Exception as exc: | |
| skipped += 1 | |
| print(f'[{source["name"]}] Skipping row {index}: {exc}') | |
| print(f'[{source["name"]}] Normalized {len(records)} records, importing in batches...') | |
| imported = await import_records(records) | |
| return imported, skipped | |
| async def main() -> None: | |
| parser = argparse.ArgumentParser( | |
| description='Download and import official road infrastructure datasets using a manifest file.', | |
| ) | |
| parser.add_argument( | |
| '--manifest', | |
| help='Path to a JSON manifest describing official road datasets to import.', | |
| ) | |
| args = parser.parse_args() | |
| settings = get_settings() | |
| manifest_path = _resolve_manifest_path(args.manifest) | |
| if not manifest_path.exists(): | |
| raise SystemExit(f'Manifest not found: {manifest_path}') | |
| sources = json.loads(manifest_path.read_text(encoding='utf-8')) | |
| if not isinstance(sources, list): | |
| raise SystemExit('Manifest must contain a JSON array of source definitions') | |
| total_imported = 0 | |
| total_skipped = 0 | |
| for source in sources: | |
| imported, skipped = await _import_source(source, settings) | |
| total_imported += imported | |
| total_skipped += skipped | |
| print(f'[{source["name"]}] imported={imported} skipped={skipped}') | |
| print(f'Official road import complete. imported={total_imported} skipped={total_skipped}') | |
| if __name__ == '__main__': | |
| asyncio.run(main()) | |