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    "info": {
        "author": "Roman Imankulov",
        "author_email": "roman.imankulov@gmail.com",
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            "License :: OSI Approved :: BSD License",
            "Programming Language :: Python"
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        "description": "Celery API discovery module\n---------------------------\n\nGiven the celery instance, it inspects all available celery workers to get\nthe information about the queues they serve and tasks they know about.\n\nThen it creates a chain of attributes allowing to execute any task as\n``queue_name.full_task_name.delay``.\n\nWith help of this class you can turn your Celery installation to a set of\nindependent modules, each of which \"exposes\" its own \"Celery API\".\n\nTo make it more clear, the analogy with a random HTTP-based API available\nat http://example.com/users/get?email=john@example.com can be like:\n\n- Celery object (including broker URL, result backend settings, etc) is the\n  analogue of the protocol (http://)\n- Queue name is the analogue of the hostname (example.com)\n- Task name is the analogue of the URL path (/users/get)\n- Task parameters the the analogue the querystring (?email=john@example.com)\n\n\nUsage example.\n\nIf we have a Celery installation with two queues:\n\"download\" (knows how to execute \"downloader.download_url\" task) and\n\"parse\" (knows how to execute \"parser.parse_html\"), we can instantiate\nAPI and work with it the following way:\n\n\n.. code-block:: python\n\n    >>> api = celery_api.CeleryApi(celery)\n    >>> html_page = api.download.downloader.download_html.delay('http://example.com').get()\n    >>> html_tree = api.parse.parser.parse_html.delay(html_page).get()\n\n.. note::\n    Ensure that workers are up and available from clients for inspection.\n    You may re-discover your installation after object creation by executing\n    ``api._discover()``.",
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        "license": "BSD",
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        "name": "celery-api",
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