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Runtime error
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Update api/main.py
Browse files- api/main.py +253 -85
api/main.py
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"""
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FastAPI Application
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"""
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from fastapi.responses import JSONResponse
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from contextlib import asynccontextmanager
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import logging
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import time
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from datetime import datetime
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from api.routes import debug_routes, process_routes, status_routes
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logging.basicConfig(
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level=
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format='%(asctime)s
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logger = logging.getLogger(__name__)
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logger.info("
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allow_headers=["*"],
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)
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@app.middleware("http")
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async def add_process_time_header(request: Request, call_next):
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start_time = time.time()
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response = await call_next(request)
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process_time = time.time() - start_time
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response.headers["X-Process-Time"] = str(process_time)
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return response
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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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logger.error(f"Global exception: {exc}", exc_info=True)
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return JSONResponse(
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status_code=500,
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content={
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"error": "Internal Server Error",
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"detail": str(exc) if settings.DEBUG else "An error occurred",
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"timestamp": datetime.now().isoformat(),
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"path": str(request.url)
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}
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)
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}
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if __name__ == "__main__":
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uvicorn.run(
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"
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host=
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port=
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reload=
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#!/usr/bin/env python3
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"""
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ParaAi - FastAPI Main Application v2.0
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Inicializa aplicação FastAPI com integração de TODOS os módulos
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"""
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import os
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import logging
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from datetime import datetime
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from pathlib import Path
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from typing import Dict, List, Optional
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from fastapi import FastAPI, HTTPException, BackgroundTasks
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse, FileResponse
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from pydantic import BaseModel
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import uvicorn
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# ============================================================================
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# IMPORTS DO PROJETO (FASE 1 + FASE 2)
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# ============================================================================
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# FASE 1: APIs e Database
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from api.llm_client import APILLMClient
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from data.db.postgres_manager import PostgreSQLManager
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# FASE 2: Context e Files
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from data.context.context_engine import ContextEngine
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from files_manager.files_manager import FilesManager
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# FASE 2: Workers (refatorado)
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from workers.llm_worker_hybrid import LLMWorkerHybrid
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# API Routes (próximos arquivos)
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from api.routes import debug_routes, process_routes, status_routes
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# ============================================================================
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# CONFIGURAÇÃO E LOGGING
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# ============================================================================
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s [%(levelname)-5s] %(name)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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# ============================================================================
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# PYDANTIC MODELS (Request/Response)
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# ============================================================================
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class ProcessRequest(BaseModel):
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"""Request para processar um lote de acórdãos"""
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jsonl_path: str
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batch_id: Optional[str] = None
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num_workers: int = 10
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timeout_seconds: int = 300
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enable_cache: bool = True
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class ProcessResponse(BaseModel):
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"""Response do processamento"""
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status: str # pending, processing, completed, failed
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batch_id: str
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total_records: int
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processed_records: int
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failed_records: int
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output_path: Optional[str] = None
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download_url: Optional[str] = None
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timestamp: str
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class StatusResponse(BaseModel):
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"""Response de status"""
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batch_id: str
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status: str
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progress_percent: float
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processed: int
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total: int
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timestamp: str
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# ============================================================================
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# INICIALIZAÇÃO DA APLICAÇÃO
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# ============================================================================
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app = FastAPI(
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title="ParaAi - Sistema de Análise Jurídica com IA",
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description="Pipeline multidisciplinar de processamento de acórdãos",
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version="2.0.0"
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)
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# CORS
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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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# ============================================================================
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# COMPONENTES GLOBAIS (Inicializados uma vez)
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# ============================================================================
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# FASE 1
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llm_client: APILLMClient = None
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db_manager: PostgreSQLManager = None
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# FASE 2
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context_engine: ContextEngine = None
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files_manager: FilesManager = None
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# Workers
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workers: List[LLMWorkerHybrid] = []
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# ============================================================================
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# STARTUP / SHUTDOWN
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# ============================================================================
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@app.on_event("startup")
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async def startup_event():
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"""Inicializa todos os componentes"""
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global llm_client, db_manager, context_engine, files_manager, workers
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logger.info("=" * 80)
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logger.info("🚀 ParaAi Starting Up...")
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logger.info("=" * 80)
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try:
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# FASE 1: Inicializar APIs
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logger.info("📡 Inicializando APILLMClient...")
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llm_client = APILLMClient(
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configpath=".apiLLMst2t/configllms.yaml"
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)
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logger.info("✅ APILLMClient inicializado")
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# FASE 1: Inicializar Database
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logger.info("🗄️ Inicializando PostgreSQL...")
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db_manager = PostgreSQLManager(
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dbname=os.getenv("PGDB", "paraai"),
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user=os.getenv("PGUSER", "postgres"),
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password=os.getenv("PGPASSWORD", ""),
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host=os.getenv("PGHOST", "localhost"),
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port=int(os.getenv("PGPORT", 5432))
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)
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# Criar tabelas
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if db_manager.criar_tabelas():
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logger.info("✅ Banco de dados pronto")
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else:
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logger.warning("⚠️ Erro ao criar tabelas, continuando...")
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# FASE 2: Inicializar Context Engine
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logger.info("🔗 Inicializando ContextEngine...")
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context_engine = ContextEngine()
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logger.info("✅ ContextEngine inicializado")
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# FASE 2: Inicializar Files Manager
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logger.info("📦 Inicializando FilesManager...")
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files_manager = FilesManager(
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basedir=os.path.expanduser(os.getenv("WORKDIR", "../trabalho")),
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ano="2024"
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)
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logger.info("✅ FilesManager inicializado")
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# Inicializar workers
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num_workers = int(os.getenv("NUMWORKERS", 10))
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logger.info(f"👷 Criando {num_workers} workers...")
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for i in range(num_workers):
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worker = LLMWorkerHybrid(
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worker_id=i,
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configpath=".apiLLMst2t/configllms.yaml"
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)
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workers.append(worker)
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logger.info(f"✅ {num_workers} workers criados")
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logger.info("=" * 80)
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logger.info("✅ ParaAi iniciada com sucesso!")
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logger.info("=" * 80)
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except Exception as e:
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logger.error(f"❌ Erro na inicialização: {e}")
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raise
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@app.on_event("shutdown")
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async def shutdown_event():
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"""Limpa recursos"""
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logger.info("🛑 ParaAi Shutting Down...")
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if db_manager:
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db_manager.fechar()
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logger.info("✅ Shutdown completo")
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# ============================================================================
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# ROTAS RAIZ
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# ============================================================================
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@app.get("/")
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async def root():
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"""Rota raiz - informações da API"""
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return {
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"status": "running",
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"name": "ParaAi",
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"version": "2.0.0",
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"endpoints": {
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"health": "/health",
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"process": "/process (POST)",
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"status": "/status/{batch_id} (GET)",
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"debug": "/debug/* (GET)",
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"docs": "/docs"
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}
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}
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@app.get("/health")
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async def health_check():
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"""Health check de todos os componentes"""
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health_status = {
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"status": "healthy",
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"timestamp": datetime.now().isoformat(),
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"components": {
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"llm_client": "OK" if llm_client else "FAIL",
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"db_manager": "OK" if db_manager else "FAIL",
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"context_engine": "OK" if context_engine else "FAIL",
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"files_manager": "OK" if files_manager else "FAIL",
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"workers": f"{len(workers)}/OK" if workers else "FAIL"
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}
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}
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return health_status
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# ============================================================================
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# INCLUIR ROUTERS
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# ============================================================================
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# Rotas de Debug
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debug_router = debug_routes.create_debug_router(
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llm_client=llm_client,
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db_manager=db_manager,
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context_engine=context_engine,
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+
files_manager=files_manager,
|
| 237 |
+
workers=workers
|
| 238 |
+
)
|
| 239 |
+
app.include_router(debug_router, prefix="/debug", tags=["debug"])
|
| 240 |
|
| 241 |
+
# Rotas de Processamento
|
| 242 |
+
process_router = process_routes.create_process_router(
|
| 243 |
+
llm_client=llm_client,
|
| 244 |
+
db_manager=db_manager,
|
| 245 |
+
context_engine=context_engine,
|
| 246 |
+
files_manager=files_manager,
|
| 247 |
+
workers=workers
|
| 248 |
+
)
|
| 249 |
+
app.include_router(process_router, prefix="/process", tags=["processing"])
|
| 250 |
+
|
| 251 |
+
# Rotas de Status
|
| 252 |
+
status_router = status_routes.create_status_router(
|
| 253 |
+
context_engine=context_engine,
|
| 254 |
+
files_manager=files_manager
|
| 255 |
+
)
|
| 256 |
+
app.include_router(status_router, prefix="/status", tags=["status"])
|
| 257 |
|
| 258 |
+
# ============================================================================
|
| 259 |
+
# EXECUÇÃO
|
| 260 |
+
# ============================================================================
|
| 261 |
|
| 262 |
if __name__ == "__main__":
|
| 263 |
+
host = os.getenv("FASTAPIHOST", "0.0.0.0")
|
| 264 |
+
port = int(os.getenv("FASTAPIPORT", 7860)
|
| 265 |
+
reload = os.getenv("FASTAPIreload", "true").lower() == "true"
|
| 266 |
+
|
| 267 |
+
logger.info(f"🌐 Iniciando servidor em http://{host}:{port}")
|
| 268 |
+
|
| 269 |
uvicorn.run(
|
| 270 |
+
"main:app",
|
| 271 |
+
host=host,
|
| 272 |
+
port=port,
|
| 273 |
+
reload=reload,
|
| 274 |
+
log_level=os.getenv("LOGLEVEL", "debug").lower()
|
| 275 |
+
)
|