136 lines
5.1 KiB
Python
136 lines
5.1 KiB
Python
"""OpenGeoFeed prefix geography collector.
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Fetches public OpenGeoFeed CSV data and stores higher-confidence
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prefix-to-location hints for BGP prefix-centric enrichment.
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"""
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from __future__ import annotations
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import csv
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import ipaddress
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from datetime import UTC, datetime
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from typing import Any
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import httpx
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from app.services.collectors.base import BaseCollector
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from app.services.collectors.downloads import ResumableFileDownloader
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class OpenGeoFeedPrefixGeoCollector(BaseCollector):
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name = "opengeofeed_prefix_geo"
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priority = "P1"
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module = "L3"
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frequency_hours = 24
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data_type = "prefix_geography"
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fail_on_empty = True
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_downloader = ResumableFileDownloader(
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cache_namespace="opengeofeed",
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default_accept="text/csv,*/*",
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)
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async def fetch(self) -> list[dict[str, Any]]:
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if not self._resolved_url:
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raise RuntimeError("OpenGeoFeed URL is not configured")
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async with httpx.AsyncClient(timeout=180.0, follow_redirects=True) as client:
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remote = await self._downloader.fetch_remote_info(client, self._resolved_url)
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total_expected = remote.get("content_length") or 0
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if total_expected > 0 and self._current_task and self._db_session:
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self._current_task.total_records = total_expected
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self._current_task.records_processed = 0
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self._current_task.progress = 0.0
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await self._db_session.commit()
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await self._publish_task_update(force=True)
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async def on_progress(downloaded: int, total: int | None) -> None:
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if not total or total <= 0:
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return
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await self.update_progress(min(downloaded, total), commit=True)
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body_path = await self._downloader.download_file(
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client,
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self._resolved_url,
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extension=".csv",
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progress_callback=on_progress,
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)
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body = body_path.read_text(encoding="utf-8", errors="replace")
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rows: list[dict[str, Any]] = []
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reader = csv.reader(body.splitlines())
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for fields in reader:
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if not fields:
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continue
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first = (fields[0] or "").strip().lower()
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if not first or first.startswith("#") or first == "prefix":
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continue
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prefix = (fields[0] or "").strip()
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country_code = (fields[1] if len(fields) > 1 else "").strip()
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region = (fields[2] if len(fields) > 2 else "").strip()
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city = (fields[3] if len(fields) > 3 else "").strip()
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postal_code = (fields[4] if len(fields) > 4 else "").strip()
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# Keep additional columns for future enrichment without breaking
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# current normalized schema.
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extras = [value.strip() for value in fields[5:]] if len(fields) > 5 else []
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rows.append(
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{
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"prefix": prefix,
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"country_code": country_code,
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"region": region,
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"city": city,
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"postal_code": postal_code,
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"extra_columns": extras,
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}
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)
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return rows
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def transform(self, raw_data: list[dict[str, Any]]) -> list[dict[str, Any]]:
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reference_date = datetime.now(UTC).isoformat()
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transformed: list[dict[str, Any]] = []
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for item in raw_data:
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prefix = str(item.get("prefix") or "").strip()
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if not prefix:
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continue
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try:
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network = ipaddress.ip_network(prefix, strict=False)
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except ValueError:
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continue
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family = f"ipv{network.version}"
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country_code = str(item.get("country_code") or "").strip().upper()
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region = str(item.get("region") or "").strip()
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city = str(item.get("city") or "").strip()
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postal_code = str(item.get("postal_code") or "").strip()
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transformed.append(
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{
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"source_id": f"{family}:{prefix}:{country_code}:{region}:{city}",
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"name": prefix,
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"title": f"{prefix} {country_code}".strip(),
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"country": country_code,
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"city": city,
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"latitude": None,
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"longitude": None,
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"metadata": {
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"family": family,
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"prefix": prefix,
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"range_start": str(network.network_address),
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"range_end": str(network.broadcast_address),
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"country_code": country_code,
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"region": region,
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"city": city,
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"postal_code": postal_code,
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"extra_columns": item.get("extra_columns") or [],
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"source_dataset": "opengeofeed_public",
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"confidence": "geofeed",
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},
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"reference_date": reference_date,
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}
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)
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return transformed
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