LQAgentPlatform/foundation/infrastructure/tracing/celery_trace.py

"""
Celery Trace管理
负责在Celery队列任务中传递和恢复trace_id上下文
"""

from celery.signals import task_prerun, task_postrun, task_failure
from .trace_context import TraceContext


class CeleryTraceManager:
    """Celery trace上下文管理器"""

    @staticmethod
    def init_celery_signals():
        """初始化Celery信号，自动管理trace_id上下文"""

        @task_prerun.connect
        def task_prerun_handler(sender=None, task_id=None, task=None, args=None, kwargs=None, **kwds):
            """
            任务执行前的信号处理
            从任务参数中提取trace_id并设置到TraceContext
            """
            # 延迟导入避免循环依赖
            from foundation.observability.logger.loggering import server_logger as logger

            try:
                # 从kwargs中提取trace_id参数
                trace_id = kwargs.pop('_system_trace_id', None) or kwargs.pop('callback_task_id', None)

                if trace_id:
                    TraceContext.set_trace_id(trace_id)
                    logger.info(f"Celery任务恢复trace_id: {trace_id}, 任务ID: {task_id}")
                else:
                    # 如果没有找到trace_id，生成一个临时的
                    fallback_trace = f"celery-{task_id[:8]}"
                    TraceContext.set_trace_id(fallback_trace)
                    logger.warning(f"Celery任务未找到trace_id，使用临时trace: {fallback_trace}")

            except Exception as e:
                logger.error(f"Celery任务trace_id恢复失败: {str(e)}")
                # 生成临时trace_id
                fallback_trace = f"celery-error-{task_id[:8]}"
                TraceContext.set_trace_id(fallback_trace)

        @task_postrun.connect
        def task_postrun_handler(sender=None, task_id=None, task=None, args=None, kwargs=None, retval=None, state=None, **kwds):
            """
            任务执行后的信号处理
            清理trace_id上下文
            """
            # 延迟导入避免循环依赖
            from foundation.observability.logger.loggering import server_logger as logger

            try:
                trace_id = TraceContext.get_trace_id()
                logger.info(f"Celery任务完成: {trace_id}, 任务ID: {task_id}")
                # 可选：清理trace_id
                # TraceContext.set_trace_id(None)
            except Exception as e:
                logger.error(f"Celery任务trace_id清理失败: {str(e)}")

        @task_failure.connect
        def task_failure_handler(sender=None, task_id=None, exception=None, traceback=None, einfo=None, **kwds):
            """
            任务失败时的信号处理
            """
            # 延迟导入避免循环依赖
            from foundation.observability.logger.loggering import server_logger as logger

            try:
                trace_id = TraceContext.get_trace_id()
                logger.error(f"Celery任务失败: {trace_id}, 任务ID: {task_id}, 错误: {str(exception)}")
            except Exception as e:
                logger.error(f"Celery任务失败trace_id记录失败: {str(e)}, 任务ID: {task_id}")

    @staticmethod
    def submit_celery_task(task_func, *args, **kwargs):
        """
        提交Celery任务时自动传递当前trace_id

        Args:
            task_func: Celery任务函数
            *args: 位置参数
            **kwargs: 关键字参数

        Returns:
            Celery任务结果
        """
        # 延迟导入避免循环依赖
        from foundation.observability.logger.loggering import server_logger as logger

        # 获取当前trace_id
        current_trace_id = TraceContext.get_trace_id()

        # 将trace_id添加到任务参数中
        if current_trace_id and current_trace_id != 'no-trace':
            kwargs['_system_trace_id'] = current_trace_id

        logger.info(f"提交Celery任务")

        # 提交任务
        return task_func.delay(*args, **kwargs)


def add_trace_to_celery_task(celery_task_func):
    """
    装饰器：为Celery任务函数自动添加trace_id支持

    Usage:
        @add_trace_to_celery_task
        @app.task(bind=True)
        def my_task(self, file_info: dict):
            # 任务逻辑
            pass
    """
    def decorator(*args, **kwargs):
        # 获取当前trace_id
        current_trace_id = TraceContext.get_trace_id()

        if current_trace_id and current_trace_id != 'no-trace':
            kwargs['_system_trace_id'] = current_trace_id

        return celery_task_func(*args, **kwargs)

    return decorator


# 自动初始化Celery信号
def init():
    """初始化Celery trace系统"""
    # 延迟导入避免循环依赖
    try:
        from foundation.observability.logger.loggering import server_logger as logger
    except ImportError:
        import logging
        logger = logging.getLogger(__name__)

    CeleryTraceManager.init_celery_signals()
    try:
        logger.info("Celery trace系统初始化完成")
    except:
        pass  # 如果logger不可用，静默继续