Tomas Kracmar
9271b4e461
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- Cache Graph API tokens with expiry-aware reuse in graph/auth.py - Add tenacity-based retry/backoff wrapper (utils/http.py) and apply to all Graph/source API calls - Add Pydantic request/response models (models/api.py) and FastAPI query constraints - Add unit tests for event_model, auth and integration tests for API endpoints - Configure ruff linter/formatter in pyproject.toml - Add GitHub Actions CI pipeline (.github/workflows/ci.yml) - Add requirements-dev.txt with pytest, mongomock, httpx, ruff - Clean up typing imports and fix ruff linting across codebase
49 lines
1.8 KiB
Python
49 lines
1.8 KiB
Python
from auth import require_auth
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from database import events_collection
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from fastapi import APIRouter, Depends, HTTPException, Query
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from graph.audit_logs import fetch_audit_logs
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from models.api import FetchAuditLogsResponse
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from models.event_model import normalize_event
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from pymongo import UpdateOne
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from sources.intune_audit import fetch_intune_audit
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from sources.unified_audit import fetch_unified_audit
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router = APIRouter(dependencies=[Depends(require_auth)])
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def run_fetch(hours: int = 168):
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window = max(1, min(hours, 720)) # cap to 30 days for sanity
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logs = []
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errors = []
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def fetch_source(fn, label):
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try:
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return fn(hours=window)
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except Exception as exc:
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errors.append(f"{label}: {exc}")
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return []
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logs.extend(fetch_source(fetch_audit_logs, "Directory audit"))
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logs.extend(fetch_source(fetch_unified_audit, "Unified audit (Exchange/SharePoint/Teams)"))
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logs.extend(fetch_source(fetch_intune_audit, "Intune audit"))
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normalized = [normalize_event(e) for e in logs]
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if normalized:
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ops = []
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for doc in normalized:
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key = doc.get("dedupe_key")
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if key:
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ops.append(UpdateOne({"dedupe_key": key}, {"$set": doc}, upsert=True))
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else:
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ops.append(UpdateOne({"id": doc.get("id"), "timestamp": doc.get("timestamp")}, {"$set": doc}, upsert=True))
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events_collection.bulk_write(ops, ordered=False)
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return {"stored_events": len(normalized), "errors": errors}
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@router.get("/fetch-audit-logs", response_model=FetchAuditLogsResponse)
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def fetch_logs(hours: int = Query(default=168, ge=1, le=720)):
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try:
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return run_fetch(hours=hours)
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except Exception as exc:
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raise HTTPException(status_code=502, detail=str(exc)) from exc
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