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Update app.py
Browse files
app.py
CHANGED
@@ -2,50 +2,68 @@
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Flare β Main Application (Refactored)
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=====================================
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"""
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from fastapi import FastAPI, WebSocket
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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from fastapi.middleware.cors import CORSMiddleware
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import uvicorn
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import os
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from pathlib import Path
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import mimetypes
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from
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from admin_routes import router as admin_router, start_cleanup_task
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from llm_startup import run_in_thread
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from session import session_store, start_session_cleanup
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from config_provider import ConfigProvider
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# ===================== Environment Setup =====================
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def setup_environment():
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"""Setup environment based on deployment mode"""
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cfg = ConfigProvider.get()
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if cfg.global_config.is_cloud_mode():
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# Check for provider-specific tokens
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llm_config = cfg.global_config.get_provider_config("llm", cfg.global_config.llm_provider.name)
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if llm_config and llm_config.requires_repo_info:
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else:
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if not Path(".env").exists():
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# Run setup
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setup_environment()
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@@ -61,31 +79,190 @@ app = FastAPI(
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# CORS for development
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if os.getenv("ENVIRONMENT") == "development":
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app.add_middleware(
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CORSMiddleware,
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allow_origins=
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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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run_in_thread() # Start LLM startup notifier if needed
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start_cleanup_task() # Activity log cleanup
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start_session_cleanup() # Session cleanup
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# ---------------- Health probe (HF Spaces watchdog) -----------------
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@app.get("/")
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def health_check():
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return {"status": "ok", "version": "2.0.0"}
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# ---------------- Core chat/session routes --------------------------
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app.include_router(chat_router, prefix="/api")
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# ---------------- Admin API routes ----------------------------------
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app.include_router(admin_router)
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# ---------------- WebSocket route for real-time STT ------------------
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@app.websocket("/ws/conversation/{session_id}")
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async def conversation_websocket(websocket: WebSocket, session_id: str):
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Flare β Main Application (Refactored)
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=====================================
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"""
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# FastAPI imports
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from fastapi import FastAPI, WebSocket, Request, status
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse, JSONResponse
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from fastapi.middleware.cors import CORSMiddleware
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# Standard library
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import uvicorn
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import os
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from pathlib import Path
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import mimetypes
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import uuid
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import traceback
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from datetime import datetime
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# Pydantic
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from pydantic import ValidationError
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# Project imports
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from websocket_handler import websocket_endpoint
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from chat_handler import router as chat_router
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from admin_routes import router as admin_router, start_cleanup_task
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from llm_startup import run_in_thread
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from session import session_store, start_session_cleanup
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from config_provider import ConfigProvider
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# Logger imports (utils.log yerine)
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from logger import log_error, log_info, log_warning
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# Exception imports
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from exceptions import (
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FlareException, RaceConditionError, format_error_response,
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get_http_status_code
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)
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ALLOWED_ORIGINS = os.getenv("ALLOWED_ORIGINS", "http://localhost:4200").split(",")
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# ===================== Environment Setup =====================
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def setup_environment():
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"""Setup environment based on deployment mode"""
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cfg = ConfigProvider.get()
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log_info("=" * 60)
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log_info("π Flare Starting", version="2.0.0")
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log_info(f"π LLM Provider: {cfg.global_config.llm_provider.name}")
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log_info(f"π€ TTS Provider: {cfg.global_config.tts_provider.name}")
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log_info(f"π§ STT Provider: {cfg.global_config.stt_provider.name}")
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log_info("=" * 60)
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if cfg.global_config.is_cloud_mode():
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log_info("βοΈ Cloud Mode: Using HuggingFace Secrets")
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log_info("π Required secrets: JWT_SECRET, FLARE_TOKEN_KEY")
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# Check for provider-specific tokens
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llm_config = cfg.global_config.get_provider_config("llm", cfg.global_config.llm_provider.name)
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if llm_config and llm_config.requires_repo_info:
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log_info("π LLM requires SPARK_TOKEN for repository operations")
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else:
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log_info("π’ On-Premise Mode: Using .env file")
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if not Path(".env").exists():
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log_warning("β οΈ WARNING: .env file not found!")
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log_info("π Copy .env.example to .env and configure it")
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# Run setup
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setup_environment()
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)
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# CORS for development
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if os.getenv("ENVIRONMENT", "development") == "development":
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app.add_middleware(
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CORSMiddleware,
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allow_origins=ALLOWED_ORIGINS,
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allow_credentials=True,
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allow_methods=["GET", "POST", "PUT", "DELETE", "OPTIONS"],
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allow_headers=["*"],
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max_age=3600,
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expose_headers=["X-Request-ID"]
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)
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log_info(f"π§ CORS enabled for origins: {ALLOWED_ORIGINS}")
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# Request ID middleware
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@app.middleware("http")
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async def add_request_id(request: Request, call_next):
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"""Add request ID for tracking"""
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request_id = str(uuid.uuid4())
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request.state.request_id = request_id
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# Log request start
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log_info(
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"Request started",
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request_id=request_id,
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method=request.method,
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path=request.url.path,
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client=request.client.host if request.client else "unknown"
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)
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try:
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response = await call_next(request)
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# Add request ID to response headers
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response.headers["X-Request-ID"] = request_id
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# Log request completion
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log_info(
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"Request completed",
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request_id=request_id,
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status_code=response.status_code,
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method=request.method,
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path=request.url.path
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)
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return response
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except Exception as e:
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log_error(
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"Request failed",
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request_id=request_id,
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error=str(e),
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traceback=traceback.format_exc()
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)
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raise
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run_in_thread() # Start LLM startup notifier if needed
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start_cleanup_task() # Activity log cleanup
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start_session_cleanup() # Session cleanup
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# ---------------- Core chat/session routes --------------------------
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app.include_router(chat_router, prefix="/api")
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# ---------------- Admin API routes ----------------------------------
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app.include_router(admin_router)
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# Global exception handler
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@app.exception_handler(Exception)
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async def global_exception_handler(request: Request, exc: Exception):
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"""Handle all unhandled exceptions"""
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request_id = getattr(request.state, 'request_id', 'unknown')
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# Log the full exception
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log_error(
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"Unhandled exception",
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request_id=request_id,
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endpoint=str(request.url),
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method=request.method,
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error=str(exc),
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error_type=type(exc).__name__,
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traceback=traceback.format_exc()
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)
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# Special handling for FlareExceptions
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if isinstance(exc, FlareException):
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status_code = get_http_status_code(exc)
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response_body = format_error_response(exc, request_id)
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# Special message for race conditions
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if isinstance(exc, RaceConditionError):
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response_body["user_action"] = "Please reload the data and try again"
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return JSONResponse(
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status_code=status_code,
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content=response_body
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)
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# Generic error response
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return JSONResponse(
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status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
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content={
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"error": "InternalServerError",
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"message": "An unexpected error occurred. Please try again later.",
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"request_id": request_id,
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"timestamp": datetime.utcnow().isoformat()
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}
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)
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# Validation error handler
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@app.exception_handler(ValidationError)
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async def validation_exception_handler(request: Request, exc: ValidationError):
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"""Handle Pydantic validation errors"""
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request_id = getattr(request.state, 'request_id', 'unknown')
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errors = []
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for error in exc.errors():
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field = " -> ".join(str(x) for x in error['loc'])
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errors.append({
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'field': field,
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'message': error['msg'],
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'type': error['type'],
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'input': error.get('input')
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})
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log_warning(
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"Validation error",
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request_id=request_id,
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errors=errors
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)
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return JSONResponse(
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status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
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content={
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"error": "ValidationError",
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"message": "Invalid request data. Please check the fields and try again.",
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"details": errors,
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"request_id": request_id,
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"timestamp": datetime.utcnow().isoformat()
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}
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)
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# ---------------- Metrics endpoint -----------------
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@app.get("/metrics")
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async def get_metrics():
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"""Get system metrics"""
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import psutil
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import gc
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# Memory info
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process = psutil.Process()
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memory_info = process.memory_info()
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# Session stats
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session_stats = session_store.get_session_stats()
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metrics = {
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"memory": {
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"rss_mb": memory_info.rss / 1024 / 1024,
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"vms_mb": memory_info.vms / 1024 / 1024,
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"percent": process.memory_percent()
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},
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"cpu": {
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"percent": process.cpu_percent(interval=0.1),
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"num_threads": process.num_threads()
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},
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"sessions": session_stats,
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"gc": {
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"collections": gc.get_count(),
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"objects": len(gc.get_objects())
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},
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"uptime_seconds": time.time() - process.create_time()
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}
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return metrics
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# ---------------- Health probe (HF Spaces watchdog) -----------------
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@app.get("/")
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def health_check():
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"""Health check with detailed status"""
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return {
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"status": "ok",
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"version": "2.0.0",
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"timestamp": datetime.utcnow().isoformat(),
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"environment": os.getenv("ENVIRONMENT", "development")
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}
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# ---------------- WebSocket route for real-time STT ------------------
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@app.websocket("/ws/conversation/{session_id}")
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async def conversation_websocket(websocket: WebSocket, session_id: str):
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