Files
planet/backend/app/services/collectors/bgp_common.py
linkong e1984c7a35 release: bump version to 0.49.0
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-08 17:42:27 +08:00

353 lines
13 KiB
Python

"""Shared helpers for BGP collectors."""
from __future__ import annotations
import hashlib
from collections import defaultdict
from datetime import UTC, datetime
from typing import Any
from sqlalchemy import select
from sqlalchemy.ext.asyncio import AsyncSession
from app.models.bgp_anomaly import BGPAnomaly
from app.models.bgp_observation import BGPObservation
from app.models.collected_data import CollectedData
from app.services.bgp_collector_locations import (
RIPE_RIS_COLLECTOR_COORDS,
get_bgp_collector_location_dict,
)
from app.services.bgp_event_locations import resolve_bgp_event_geo_dict
from app.services.bgp_incidents import create_bgp_incidents_for_anomalies
from app.services.bgp_detectors import (
detect_mass_withdrawal_anomalies,
detect_more_specific_burst_anomalies,
detect_origin_change_anomalies,
detect_path_flap_anomalies,
detect_route_leak_anomalies,
)
from app.services.bgp_enrichment import enrich_bgp_events_for_batch, extract_bgp_network_fields
# Re-exported for backward compatibility with anything that imports
# ``RIPE_RIS_COLLECTOR_COORDS`` from this module. New code should call
# ``app.services.bgp_collector_locations.get_bgp_collector_location_dict()``
# or ``resolve_bgp_collector_location()`` instead — those use the DB-backed
# collector-location cache.
__all__ = [
"RIPE_RIS_COLLECTOR_COORDS",
"normalize_bgp_event",
"save_bgp_observations_for_batch",
"create_bgp_anomalies_for_batch",
]
def _safe_int(value: Any) -> int | None:
try:
if value in (None, ""):
return None
return int(value)
except (TypeError, ValueError):
return None
def _parse_timestamp(value: Any) -> datetime:
if isinstance(value, datetime):
return value.astimezone(UTC) if value.tzinfo else value.replace(tzinfo=UTC)
if isinstance(value, (int, float)):
return datetime.fromtimestamp(value, tz=UTC)
if isinstance(value, str) and value:
normalized = value.replace("Z", "+00:00")
parsed = datetime.fromisoformat(normalized)
return parsed.astimezone(UTC) if parsed.tzinfo else parsed.replace(tzinfo=UTC)
return datetime.now(UTC)
def _normalize_as_path(raw_path: Any) -> list[int]:
if raw_path in (None, ""):
return []
if isinstance(raw_path, list):
return [asn for asn in (_safe_int(item) for item in raw_path) if asn is not None]
if isinstance(raw_path, str):
parts = raw_path.replace("{", "").replace("}", "").split()
return [asn for asn in (_safe_int(item) for item in parts) if asn is not None]
return []
def normalize_bgp_event(payload: dict[str, Any], *, project: str) -> dict[str, Any]:
raw_message = payload.get("raw_message", payload)
raw_path = (
payload.get("path")
or payload.get("as_path")
or payload.get("attrs", {}).get("path")
or payload.get("attrs", {}).get("as_path")
or []
)
as_path = _normalize_as_path(raw_path)
raw_type = str(payload.get("event_type") or payload.get("type") or payload.get("msg_type") or "").lower()
if raw_type in {"a", "announce", "announcement"}:
event_type = "announcement"
elif raw_type in {"w", "withdraw", "withdrawal"}:
event_type = "withdrawal"
elif raw_type in {"r", "rib"}:
event_type = "rib"
else:
event_type = raw_type or "announcement"
prefix = str(payload.get("prefix") or payload.get("prefixes") or payload.get("target_prefix") or "").strip()
if prefix.startswith("[") and prefix.endswith("]"):
prefix = prefix[1:-1]
timestamp = _parse_timestamp(payload.get("timestamp") or payload.get("time") or payload.get("ts"))
collector = str(payload.get("collector") or payload.get("host") or payload.get("router") or "unknown")
peer_asn = _safe_int(payload.get("peer_asn") or payload.get("peer"))
peer_ip = payload.get("peer_ip") or payload.get("peer_address")
if peer_ip in (None, ""):
peer_candidate = payload.get("peer")
peer_ip = str(peer_candidate) if isinstance(peer_candidate, str) and ":" in peer_candidate else peer_candidate
origin_asn = _safe_int(payload.get("origin_asn")) or (as_path[-1] if as_path else None)
source_material = "|".join(
[
collector,
str(peer_asn or ""),
prefix,
event_type,
timestamp.isoformat(),
",".join(str(asn) for asn in as_path),
]
)
source_id = hashlib.sha1(source_material.encode("utf-8")).hexdigest()[:24]
# Routes through the BGP event pipeline: source coords (if any) →
# collector inheritance. Returned dict keeps the legacy
# {city, country, latitude, longitude} keys plus richer
# {precision, source, needs_confirmation, matched_location_name, confidence}.
collector_location = resolve_bgp_event_geo_dict(
collector,
source_latitude=payload.get("latitude"),
source_longitude=payload.get("longitude"),
)
# Empty result (unknown collector & no source coords) — keep the
# downstream-expected dict shape so detectors / serializers don't crash.
if not collector_location:
collector_location = get_bgp_collector_location_dict(collector)
network_fields = extract_bgp_network_fields(prefix)
metadata = {
"project": project,
"collector": collector,
"peer_asn": peer_asn,
"peer_ip": peer_ip,
"event_type": event_type,
"prefix": prefix,
"origin_asn": origin_asn,
"as_path": as_path,
"communities": payload.get("communities")
or payload.get("community")
or payload.get("attrs", {}).get("communities")
or [],
"next_hop": payload.get("next_hop") or payload.get("attrs", {}).get("next_hop"),
"med": payload.get("med") or payload.get("attrs", {}).get("med"),
"local_pref": payload.get("local_pref") or payload.get("attrs", {}).get("local_pref"),
"timestamp": timestamp.isoformat(),
"as_path_length": len(as_path),
"visibility_weight": 1,
"collector_location": collector_location,
"raw_message": raw_message,
"prefix_family": network_fields.get("prefix_family"),
"prefix_length": network_fields.get("prefix_length"),
"prefix_supernet": network_fields.get("prefix_supernet"),
"is_more_specific": network_fields.get("is_more_specific", False),
}
return {
"source_id": source_id,
"name": prefix or f"{collector}:{event_type}",
"title": f"{event_type} {prefix}".strip(),
"description": f"{collector} observed {event_type} for {prefix}".strip(),
"reference_date": timestamp.isoformat(),
"country": collector_location.get("country"),
"city": collector_location.get("city"),
"latitude": collector_location.get("latitude"),
"longitude": collector_location.get("longitude"),
"metadata": metadata,
}
async def save_bgp_observations_for_batch(
db: AsyncSession,
*,
source: str,
snapshot_id: int | None,
task_id: int | None,
events: list[dict[str, Any]],
) -> int:
if not events:
return 0
ingest_batch_id = f"{source}:{task_id or 'adhoc'}:{snapshot_id or 'nosnapshot'}"
created = 0
for event in events:
metadata = event.get("metadata", {}) or {}
collector_location = metadata.get("collector_location") or {}
observed_at = _parse_timestamp(
metadata.get("timestamp") or event.get("reference_date")
)
db.add(
BGPObservation(
snapshot_id=snapshot_id,
task_id=task_id,
source=source,
ingest_batch_id=ingest_batch_id,
source_event_id=event.get("source_id"),
collector=metadata.get("collector"),
peer_asn=_safe_int(metadata.get("peer_asn")),
peer_ip=metadata.get("peer_ip"),
prefix=metadata.get("prefix"),
event_type=str(metadata.get("event_type") or "announcement"),
as_path=metadata.get("as_path") or [],
origin_asn=_safe_int(metadata.get("origin_asn")),
next_hop=metadata.get("next_hop"),
communities=metadata.get("communities") or [],
observed_at=observed_at,
collector_geo=collector_location,
raw_payload=metadata.get("raw_message") or {},
note=event.get("description"),
)
)
created += 1
if created:
await db.commit()
return created
async def create_bgp_anomalies_for_batch(
db: AsyncSession,
*,
source: str,
snapshot_id: int | None,
task_id: int | None,
events: list[dict[str, Any]],
) -> int:
if not events:
return 0
enriched_events = await enrich_bgp_events_for_batch(
db,
source=source,
events=events,
)
prefixes = {
event["metadata"].get("prefix")
for event in enriched_events
if event.get("metadata", {}).get("prefix")
}
previous_origin_map: dict[str, set[int]] = defaultdict(set)
if prefixes:
previous_query = await db.execute(
select(CollectedData).where(
CollectedData.source == source,
CollectedData.snapshot_id != snapshot_id,
CollectedData.extra_data["prefix"].as_string().in_(sorted(prefixes)),
)
)
for record in previous_query.scalars().all():
metadata = record.extra_data or {}
prefix = metadata.get("prefix")
origin = _safe_int(metadata.get("origin_asn"))
if prefix and origin is not None:
previous_origin_map[prefix].add(origin)
pending_anomalies = [
*detect_origin_change_anomalies(
source=source,
snapshot_id=snapshot_id,
task_id=task_id,
events=enriched_events,
previous_origin_map=previous_origin_map,
),
*detect_more_specific_burst_anomalies(
source=source,
snapshot_id=snapshot_id,
task_id=task_id,
events=enriched_events,
),
*detect_mass_withdrawal_anomalies(
source=source,
snapshot_id=snapshot_id,
task_id=task_id,
events=enriched_events,
),
*detect_route_leak_anomalies(
source=source,
snapshot_id=snapshot_id,
task_id=task_id,
events=enriched_events,
),
*detect_path_flap_anomalies(
source=source,
snapshot_id=snapshot_id,
task_id=task_id,
events=enriched_events,
),
]
if not pending_anomalies:
return 0
existing_result = await db.execute(
select(BGPAnomaly.entity_key).where(
BGPAnomaly.entity_key.in_([item.entity_key for item in pending_anomalies])
)
)
existing_keys = {row[0] for row in existing_result.fetchall()}
existing_anomalies: list[BGPAnomaly] = []
if existing_keys:
existing_anomaly_result = await db.execute(
select(BGPAnomaly).where(BGPAnomaly.entity_key.in_(sorted(existing_keys)))
)
existing_anomalies = existing_anomaly_result.scalars().all()
created = 0
created_anomalies: list[BGPAnomaly] = []
refreshed_anomalies: list[BGPAnomaly] = []
existing_map = {item.entity_key: item for item in existing_anomalies if item.entity_key}
for anomaly in pending_anomalies:
if anomaly.entity_key in existing_keys:
existing = existing_map.get(anomaly.entity_key)
if existing is not None:
existing.severity = anomaly.severity
existing.status = anomaly.status
existing.summary = anomaly.summary
existing.confidence = anomaly.confidence
existing.peer_scope = anomaly.peer_scope
existing.evidence = anomaly.evidence
existing.new_origin_asn = anomaly.new_origin_asn
existing.origin_asn = anomaly.origin_asn
refreshed_anomalies.append(existing)
continue
db.add(anomaly)
created_anomalies.append(anomaly)
created += 1
if created or refreshed_anomalies:
await db.commit()
incident_seed_anomalies = [*created_anomalies, *refreshed_anomalies]
if incident_seed_anomalies:
await create_bgp_incidents_for_anomalies(
db,
source=source,
snapshot_id=snapshot_id,
task_id=task_id,
anomalies=incident_seed_anomalies,
)
return created