modcomms/backend/app/main.py
2025-12-18 16:51:27 +00:00

190 lines
6.6 KiB
Python
Executable file

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