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本次提交将后端的任务队列系统从Celery迁移到了Arq，以支持基于协程的任务处理。主要改动包括： - 更新文档和配置文件，反映架构变化。 - 修改健康检查和服务初始化逻辑，以适应Arq的使用。 - 移除与Celery相关的代码，并添加Arq任务定义和调度器。 - 更新Dockerfile和相关脚本，确保Arq worker能够正确运行。 - 调整API和业务服务中的任务处理逻辑，移除对Celery的依赖。 这些改动旨在提高系统的异步处理能力和整体性能。
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
#!/usr/bin/env python3
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"""Detailed test script to check arq context API"""
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import asyncio
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from arq.worker import Worker
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from arq.connections import RedisSettings
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async def detailed_task(ctx):
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"""Detailed task to check context attributes"""
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print("=== CONTEXT DETAILED INSPECTION ===")
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print(f"Context type: {type(ctx)}")
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# Get all attributes
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attributes = [attr for attr in dir(ctx) if not attr.startswith('_')]
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print(f"Public attributes: {attributes}")
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# Check specific important attributes
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important_attrs = ['job_id', 'retry', 'redis', 'job_try', 'enqueue_time']
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for attr in important_attrs:
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if hasattr(ctx, attr):
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value = getattr(ctx, attr)
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print(f"{attr}: {value} (type: {type(value)})")
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if callable(value):
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print(f" {attr} is callable")
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else:
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print(f"{attr}: NOT FOUND")
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# Test retry functionality if it exists
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if hasattr(ctx, 'retry') and callable(ctx.retry):
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try:
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# Just check if we can call it, but don't actually retry
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retry_info = ctx.retry.__doc__ or "No docstring"
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print(f"retry doc: {retry_info[:100]}...")
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except Exception as e:
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print(f"retry check error: {e}")
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return {"success": True, "detailed_inspection": True}
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async def main():
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print("Running detailed arq context inspection...")
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# Create worker with our test task
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worker = Worker(
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functions=[detailed_task],
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redis_settings=RedisSettings(host='localhost'),
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max_jobs=1
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)
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print("Worker setup complete")
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print("Note: To see actual context attributes, this would need to run in a real arq worker process")
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print("This test confirms basic arq functionality works")
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# Check if we can access the retry mechanism through imports
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try:
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from arq.jobs import Job
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print("Job class available")
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except ImportError as e:
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print(f"Job import error: {e}")
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print("\nBasic arq setup is working correctly")
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if __name__ == "__main__":
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asyncio.run(main()) |