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Given the celery instance, it inspects all available celery workers to get the information about the queues they serve and tasks they know about.

Then it creates a chain of attributes allowing to execute any task as queue_name.full_task_name.delay.

With help of this class you can turn your Celery installation to a set of independent modules, each of which “exposes” its own “Celery API”.

To make it more clear, the analogy with a random HTTP-based API available at http://example.com/users/get?email=john@example.com can be like:

  • Celery object (including broker URL, result backend settings, etc) is the analogue of the protocol (http://)

  • Queue name is the analogue of the hostname (example.com)

  • Task name is the analogue of the URL path (/users/get)

  • Task parameters the the analogue the querystring (?email=john@example.com)

Usage example.

If we have a Celery installation with two queues: “download” (knows how to execute “downloader.download_url” task) and “parse” (knows how to execute “parser.parse_html”), we can instantiate API and work with it the following way:

>>> api = celery_api.CeleryApi(celery)
>>> html_page = api.download.downloader.download_html.delay('http://example.com').get()
>>> html_tree = api.parse.parser.parse_html.delay(html_page).get()

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