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# 🔄 ASYNC MANAGER - Execução Segura sem Bloqueio
# ============================================================
"""
Gerenciador de tarefas assíncronas para garantir que:
1. Respostas NUNCA travam (resposta retornada IMEDIATAMENTE)
2. Treinamento executa em background ISOLADO
3. Database access é sincronizado
4. Múltiplas requisições não competem por recursos
"""
import asyncio
import threading
import time
import queue
from typing import Callable, Any, Optional, Dict, List
from dataclasses import dataclass, field
from datetime import datetime, timedelta
from loguru import logger
# ============================================================
# 📋 ESTRUTURAS DE DADOS
# ============================================================
@dataclass
class AsyncTask:
"""Representa uma tarefa assíncrona"""
task_id: str
name: str
func: Callable
args: tuple = field(default_factory=tuple)
kwargs: dict = field(default_factory=dict)
priority: int = 0 # 0=low, 1=medium, 2=high
created_at: datetime = field(default_factory=datetime.now)
started_at: Optional[datetime] = None
completed_at: Optional[datetime] = None
status: str = "queued" # queued, running, completed, failed
error: Optional[str] = None
result: Any = None
timeout: float = 30.0 # segundos
class ResponseBlockManager:
"""Gerencia execução de tarefas sem bloquear respostas API"""
def __init__(self, max_workers: int = 3, queue_size: int = 100):
self.max_workers = max_workers
self.queue_size = queue_size
self._task_queue = queue.PriorityQueue(maxsize=queue_size)
self._running_tasks: Dict[str, AsyncTask] = {}
self._completed_tasks: List[AsyncTask] = []
self._workers: List[threading.Thread] = []
self._running = False
self._lock = threading.Lock()
# Stats
self._stats = {
"total_tasks": 0,
"completed_tasks": 0,
"failed_tasks": 0,
"avg_task_time": 0.0,
"queue_depth": 0
}
logger.info(f"🔄 ResponseBlockManager inicializado ({max_workers} workers, queue_size={queue_size})")
def start(self):
"""Inicia workers"""
if self._running:
return
self._running = True
for i in range(self.max_workers):
worker = threading.Thread(
target=self._worker_loop,
name=f"AsyncWorker-{i}",
daemon=True
)
worker.start()
self._workers.append(worker)
logger.success(f"✅ {self.max_workers} workers iniciados")
def stop(self, timeout: float = 10.0):
"""Para workers com timeout"""
self._running = False
# Aguarda workers terminarem
for worker in self._workers:
worker.join(timeout=timeout / len(self._workers))
logger.info("⏹️ ResponseBlockManager parado")
def queue_task(
self,
name: str,
func: Callable,
args: tuple = (),
kwargs: Optional[Dict] = None,
priority: int = 0,
timeout: float = 30.0,
task_id: Optional[str] = None
) -> str:
"""
Enfileira tarefa para execução em background
Returns: task_id para rastreamento
"""
if not self._running:
logger.warning("⚠️ ResponseBlockManager não está rodando")
return ""
# Gera ID se não fornecido
if not task_id:
task_id = f"{name}_{int(time.time() * 1000)}"
task = AsyncTask(
task_id=task_id,
name=name,
func=func,
args=args,
kwargs=kwargs or {},
priority=priority,
timeout=timeout
)
try:
# Enfileira com prioridade (inverte para usar max heap)
self._task_queue.put((-priority, time.time(), task), timeout=1.0)
with self._lock:
self._stats["total_tasks"] += 1
self._stats["queue_depth"] = self._task_queue.qsize()
logger.debug(f"📥 Task enfileirada: {name} (id={task_id}, priority={priority})")
return task_id
except queue.Full:
logger.error(f"❌ Fila de tarefas cheia! Ignorando: {name}")
return ""
def _worker_loop(self):
"""Loop de execução de tarefas"""
while self._running:
try:
# Espera por tarefa com timeout
try:
_, _, task = self._task_queue.get(timeout=1.0)
except queue.Empty:
continue
# Marca como em execução
with self._lock:
self._running_tasks[task.task_id] = task
task.status = "running"
task.started_at = datetime.now()
logger.debug(f"⚙️ Executando: {task.name} (id={task.task_id})")
# Executa com timeout
try:
result = self._execute_with_timeout(task)
task.result = result
task.status = "completed"
with self._lock:
self._stats["completed_tasks"] += 1
self._completed_tasks.append(task)
logger.success(f"✅ Task completada: {task.name}")
except TimeoutError:
task.status = "failed"
task.error = f"Timeout ({task.timeout}s)"
with self._lock:
self._stats["failed_tasks"] += 1
logger.error(f"❌ Task timeout: {task.name}")
except Exception as e:
task.status = "failed"
task.error = str(e)
with self._lock:
self._stats["failed_tasks"] += 1
logger.error(f"❌ Task failed: {task.name} - {e}")
finally:
# Remove de running
with self._lock:
task.completed_at = datetime.now()
if task.task_id in self._running_tasks:
del self._running_tasks[task.task_id]
# Calcula tempo médio
if task.completed_at and task.started_at:
elapsed = (task.completed_at - task.started_at).total_seconds()
self._stats["avg_task_time"] = (
self._stats["avg_task_time"] * 0.8 + elapsed * 0.2
)
except Exception as e:
logger.exception(f"Erro fatal em worker: {e}")
def _execute_with_timeout(self, task: AsyncTask) -> Any:
"""Executa função com timeout"""
result_container = {}
exception_container = {}
def _wrapper():
try:
result = task.func(*task.args, **task.kwargs)
result_container['result'] = result
except Exception as e:
exception_container['error'] = e
thread = threading.Thread(target=_wrapper, daemon=False)
thread.start()
thread.join(timeout=task.timeout)
if thread.is_alive():
raise TimeoutError(f"Execução não completou em {task.timeout}s")
if 'error' in exception_container:
raise exception_container['error']
return result_container.get('result')
def get_task_status(self, task_id: str) -> Dict[str, Any]:
"""Retorna status de uma tarefa"""
# Procura em running
if task_id in self._running_tasks:
task = self._running_tasks[task_id]
return {
"id": task_id,
"name": task.name,
"status": task.status,
"started_at": task.started_at.isoformat() if task.started_at else None,
"completed_at": None # ainda em execução
}
# Procura em completed
for task in reversed(self._completed_tasks[-100:]): # últimas 100
if task.task_id == task_id:
return {
"id": task_id,
"name": task.name,
"status": task.status,
"started_at": task.started_at.isoformat() if task.started_at else None,
"completed_at": task.completed_at.isoformat() if task.completed_at else None,
"error": task.error,
"result": task.result
}
return {"id": task_id, "status": "not_found"}
def get_stats(self) -> Dict[str, Any]:
"""Retorna estatísticas"""
with self._lock:
return {
**self._stats,
"running_tasks": len(self._running_tasks),
"completed_history": len(self._completed_tasks),
"workers_active": len([w for w in self._workers if w.is_alive()])
}
def clear_history(self):
"""Limpa histórico de tarefas completadas"""
with self._lock:
self._completed_tasks.clear()
logger.info("📊 Histórico de tarefas limpo")
# ============================================================
# 🌐 INSTÂNCIA GLOBAL
# ============================================================
# Inicializa com 3 workers (não-bloqueante)
async_manager = ResponseBlockManager(max_workers=3, queue_size=100)
# Inicia automaticamente ao importar
try:
async_manager.start()
except Exception as e:
logger.warning(f"⚠️ Erro ao iniciar async_manager: {e}")
# ============================================================
# 🎯 HELPERS
# ============================================================
def queue_training_task(
func: Callable,
args: tuple = (),
kwargs: Optional[Dict] = None,
task_id: Optional[str] = None
) -> str:
"""Enfileira tarefa de treinamento (baixa prioridade)"""
return async_manager.queue_task(
name="training",
func=func,
args=args,
kwargs=kwargs,
priority=0, # baixa prioridade
timeout=60.0, # timeout maior para treinamento
task_id=task_id
)
def queue_data_task(
func: Callable,
args: tuple = (),
kwargs: Optional[Dict] = None,
task_id: Optional[str] = None
) -> str:
"""Enfileira tarefa de armazenamento de dados (média prioridade)"""
return async_manager.queue_task(
name="data_storage",
func=func,
args=args,
kwargs=kwargs,
priority=1, # média prioridade
timeout=10.0,
task_id=task_id
)
def queue_urgent_task(
func: Callable,
args: tuple = (),
kwargs: Optional[Dict] = None,
task_id: Optional[str] = None
) -> str:
"""Enfileira tarefa urgente (alta prioridade)"""
return async_manager.queue_task(
name="urgent",
func=func,
args=args,
kwargs=kwargs,
priority=2, # alta prioridade
timeout=5.0,
task_id=task_id
)
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