Celery wait for all tasks to finish. with chord it is possible to define a ''callback'' task and do the whole process asynchronously. This is the setting for the publisher (celery client) and is different from timeout parameter of @app. The task isn’t terminated even if timeout occurs. Implementing Task Queues with Celery For many Python applications, Celery is the go-to choice for managing background tasks. The rest of this document will go into the task execution options in detail. Server responds: "Upload received, processing started. When shutdown is initiated the worker will finish all currently executing tasks before it actually terminates. I want to capture the result of it after all the tasks assigned to all workers are done. So delay is clearly convenient, but if you want to set additional execution options you have to use apply_async. Celery, a powerful distributed task queue for Python, excels at handling asynchronous tasks, including parallel execution.
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