190 lines
6.6 KiB
Python
Executable file
190 lines
6.6 KiB
Python
Executable file
import logging
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import uuid
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from contextlib import asynccontextmanager
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from fastapi import FastAPI, WebSocket, WebSocketDisconnect, Depends
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from fastapi.middleware.cors import CORSMiddleware
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from app.config import settings
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from app.services.auth_service import verify_access_token
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from app.dependencies.auth import get_current_user
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from app.models.database import init_db, close_db
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from app.api import router as api_router
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# Configure logging
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S"
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)
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logger = logging.getLogger(__name__)
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from app.websocket.manager import ConnectionManager
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from app.websocket.handlers import handle_analyze_message
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from app.services.gemini_service import GeminiService
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from app.services.reference_docs import ReferenceDocsService
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from app.services.analysis_service import AnalysisService
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# Global services - initialized at startup
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manager = ConnectionManager()
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analysis_service: AnalysisService | None = None
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@asynccontextmanager
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async def lifespan(app: FastAPI):
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"""
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Initialize services on startup and cleanup on shutdown.
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Loads reference documents and initializes the analysis service.
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"""
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global analysis_service
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# Validate settings
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settings.validate()
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# Initialize database
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print("Initializing database connection...")
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try:
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await init_db()
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print("Database initialized successfully")
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except Exception as e:
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logger.warning(f"Database initialization failed (may not be available): {e}")
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print(f"Warning: Database not available - running in stateless mode")
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# Initialize services
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print("Loading reference documents...")
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reference_docs = ReferenceDocsService(settings.REFERENCE_DOCS_PATH)
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# Log document info
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doc_summary = reference_docs.get_context_summary()
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print(f" Brand documents: {len(doc_summary['brand_files'])} files ({doc_summary['brand_context_length']} chars)")
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print(f" Channel documents: {len(doc_summary['channel_files'])} files ({doc_summary['channel_context_length']} chars)")
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print("Initializing Gemini service...")
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gemini_service = GeminiService(settings.GEMINI_API_KEY)
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print("Initializing analysis service...")
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analysis_service = AnalysisService(gemini_service, reference_docs)
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print("Backend ready!")
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yield
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# Cleanup on shutdown
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print("Shutting down...")
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await close_db()
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# Create FastAPI app
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app = FastAPI(
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title="ModComms Proof Review API",
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description="AI-powered proof review backend for Barclays marketing materials",
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version="1.0.0",
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lifespan=lifespan,
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)
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# CORS middleware - allow frontend to connect
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app.add_middleware(
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CORSMiddleware,
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allow_origins=settings.CORS_ORIGINS.split(","),
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Include API routes
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app.include_router(api_router, prefix="/api")
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@app.get("/health")
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async def health_check():
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"""Health check endpoint."""
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return {"status": "healthy", "service": "modcomms-backend"}
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@app.get("/info")
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async def info(user: dict = Depends(get_current_user)):
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"""Get backend information. Requires authentication."""
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if analysis_service:
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ref_docs = analysis_service.reference_docs
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doc_summary = ref_docs.get_context_summary()
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return {
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"status": "ready",
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"user": user.get("name", "Unknown"),
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"agents": ["Legal Agent", "Brand Agent", "Tone Agent", "Channel Agent"],
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"reference_docs": doc_summary,
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}
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return {"status": "initializing", "user": user.get("name", "Unknown")}
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@app.websocket("/ws/analyze")
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async def websocket_analyze(websocket: WebSocket):
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"""
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WebSocket endpoint for proof analysis with real-time updates.
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Protocol:
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- Client sends: {"type": "analyze", "file_data": "<base64>", "file_type": "image/png", "is_wip": false, "access_token": "<jwt>"}
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- Server verifies token before processing
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- Server sends: {"type": "agent_started", "agent_name": "..."}
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- Server sends: {"type": "agent_completed", "agent_name": "...", "review": {...}}
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- Server sends: {"type": "complete", "result": {...}}
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- On error: {"type": "error", "message": "..."}
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"""
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client_id = str(uuid.uuid4())
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logger.info(f"[MAIN] WebSocket connection established - client_id: {client_id}")
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await manager.connect(websocket, client_id)
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try:
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while True:
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# Wait for a message from the client
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data = await websocket.receive_json()
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logger.info(f"[MAIN] Received message from client {client_id} - type: {data.get('type')}")
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if data.get("type") == "analyze":
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# Verify access token from message
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access_token = data.get("access_token")
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user_claims = await verify_access_token(access_token)
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if not user_claims:
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logger.warning(f"[MAIN] Authentication failed for client {client_id}")
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await manager.send_message(client_id, {
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"type": "error",
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"message": "Authentication failed. Please sign in again."
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})
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continue
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logger.info(f"[MAIN] Authenticated user: {user_claims.get('name', 'unknown')}")
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if analysis_service is None:
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logger.error("[MAIN] Analysis service not ready")
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await manager.send_message(client_id, {
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"type": "error",
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"message": "Backend not ready. Please wait for initialization."
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})
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continue
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# Handle the analysis request
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await handle_analyze_message(
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websocket=websocket,
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client_id=client_id,
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data=data,
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manager=manager,
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analysis_service=analysis_service,
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)
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else:
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logger.warning(f"[MAIN] Unknown message type: {data.get('type')}")
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await manager.send_message(client_id, {
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"type": "error",
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"message": f"Unknown message type: {data.get('type')}"
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})
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except WebSocketDisconnect:
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logger.info(f"[MAIN] Client {client_id} disconnected")
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manager.disconnect(client_id)
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except Exception as e:
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logger.error(f"[MAIN] Error for client {client_id}: {str(e)}")
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await manager.send_message(client_id, {
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"type": "error",
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"message": str(e)
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})
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manager.disconnect(client_id)
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