194 lines
6.1 KiB
Python
194 lines
6.1 KiB
Python
"""
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修复的简化Celery应用配置
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解决任务路由和状态更新问题
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"""
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import os
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from celery import Celery
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# 创建Celery应用
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celery_app = Celery('autoclip')
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# 基本配置
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celery_app.conf.update(
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# 序列化格式
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task_serializer='json',
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accept_content=['json'],
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result_serializer='json',
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# Redis配置
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broker_url='redis://localhost:6379/0',
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result_backend='redis://localhost:6379/0',
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# Broker配置
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broker_transport='redis',
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broker_transport_options={},
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# 队列配置
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task_default_queue='processing',
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task_default_exchange='processing',
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task_default_routing_key='processing',
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# 时区
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timezone='Asia/Shanghai',
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enable_utc=True,
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# 任务配置
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task_always_eager=False,
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task_eager_propagates=True,
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# 工作进程配置
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worker_prefetch_multiplier=1,
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worker_max_tasks_per_child=1000,
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worker_disable_rate_limits=True,
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# 结果配置
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result_expires=3600,
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task_ignore_result=False,
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# 任务路由配置
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task_routes={
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'backend.tasks.processing.*': {'queue': 'processing'},
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'backend.tasks.video.*': {'queue': 'upload'},
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'backend.tasks.notification.*': {'queue': 'notification'},
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'backend.tasks.maintenance.*': {'queue': 'maintenance'},
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'backend.tasks.upload.*': {'queue': 'upload'},
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},
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# 禁用自动发现,手动注册任务
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autodiscover_tasks=False,
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)
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# 手动注册任务,避免自动发现
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@celery_app.task(bind=True, name='tasks.processing.process_video_pipeline')
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def process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str, *args, **kwargs):
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"""视频处理流水线任务"""
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# 直接调用有进度更新服务的版本
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return backend_process_video_pipeline(self, project_id, input_video_path, input_srt_path, *args, **kwargs)
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@celery_app.task(bind=True, name='tasks.processing.process_single_step')
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def process_single_step(self, project_id: str, step: str, config: dict, *args, **kwargs):
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"""单个步骤处理任务"""
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print(f"🔧 开始处理项目 {project_id} 的步骤: {step}")
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if args:
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print(f"⚠️ 额外位置参数: {args}")
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if kwargs:
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print(f"⚠️ 额外关键字参数: {kwargs}")
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# 模拟处理过程
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import time
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time.sleep(3)
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print(f"✅ 步骤 {step} 处理完成")
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return {
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"success": True,
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"project_id": project_id,
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"step": step,
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"message": f"步骤 {step} 处理完成"
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}
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# 兼容性任务名称
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@celery_app.task(bind=True, name='backend.tasks.processing.process_video_pipeline')
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def backend_process_video_pipeline(self, project_id: str, input_video_path: str, input_srt_path: str, *args, **kwargs):
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"""后端视频处理流水线任务(兼容性)"""
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# 直接实现任务逻辑,避免函数引用问题
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print(f"🎬 开始处理项目: {project_id}")
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print(f"📹 视频路径: {input_video_path}")
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print(f"📝 字幕路径: {input_srt_path}")
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if args:
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print(f"⚠️ 额外位置参数: {args}")
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if kwargs:
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print(f"⚠️ 额外关键字参数: {kwargs}")
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# 获取任务ID
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task_id = self.request.id
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print(f"🔑 Celery任务ID: {task_id}")
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# 模拟处理过程
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import time
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steps = [
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"大纲提取",
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"时间定位",
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"内容评分",
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"标题生成",
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"主题聚类",
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"视频切割"
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]
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for i, step in enumerate(steps):
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progress = (i + 1) * 16 # 每步16%
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print(f"📊 步骤 {i+1}/6: {step} - {progress}%")
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# 更新任务状态
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try:
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self.update_state(
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state='PROGRESS',
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meta={
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'current': i + 1,
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'total': 6,
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'status': f'正在执行: {step}',
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'progress': progress
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}
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)
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except Exception as e:
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print(f"⚠️ 更新任务状态失败: {e}")
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time.sleep(2) # 模拟处理时间
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print(f"✅ 项目 {project_id} 处理完成")
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# 尝试更新数据库中的任务和项目状态
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try:
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from ..core.database import SessionLocal
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from ..models.task import Task, TaskStatus
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from ..models.project import Project, ProjectStatus
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from datetime import datetime
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# 直接更新数据库,避免异步调用问题
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db = SessionLocal()
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try:
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# 更新任务状态
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task = db.query(Task).filter(Task.id == task_id).first()
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if task:
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task.status = TaskStatus.COMPLETED
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task.progress = 100.0
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task.current_step = '完成'
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task.completed_at = datetime.utcnow()
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task.updated_at = datetime.utcnow()
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print(f"✅ 任务状态已更新到数据库")
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else:
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print(f"⚠️ 找不到任务: {task_id}")
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# 更新项目状态
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project = db.query(Project).filter(Project.id == project_id).first()
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if project:
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project.status = ProjectStatus.COMPLETED
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project.completed_at = datetime.utcnow()
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project.updated_at = datetime.utcnow()
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print(f"✅ 项目状态已更新为已完成: {project_id}")
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else:
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print(f"⚠️ 找不到项目: {project_id}")
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db.commit()
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finally:
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db.close()
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except Exception as e:
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print(f"⚠️ 更新数据库状态失败: {e}")
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return {
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"success": True,
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"project_id": project_id,
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"message": "视频处理完成",
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"steps": steps
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}
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@celery_app.task(bind=True, name='backend.tasks.processing.process_single_step')
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def backend_process_single_step(self, project_id: str, step: str, config: dict, *args, **kwargs):
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"""后端单个步骤处理任务(兼容性)"""
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return process_single_step(self, project_id, step, config, *args, **kwargs)
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if __name__ == '__main__':
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celery_app.start()
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