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    "info": {
        "author": "alex",
        "author_email": "alex@fabricadigital.com.br",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: System :: Distributed Computing"
        ],
        "description": "Django Celery Flower\n====================\n\nFlower is a web based tool for monitoring and administrating Celery clusters.\n\nFeatures\n--------\n\n- Real-time monitoring using Celery Events\n\n    - Task progress and history\n    - Ability to show task details (arguments, start time, runtime, and more)\n    - Graphs and statistics\n\n- Remote Control\n\n    - View worker status and statistics\n    - Shutdown and restart worker instances\n    - Control worker pool size and autoscale settings\n    - View and modify the queues a worker instance consumes from\n    - View currently running tasks\n    - View scheduled tasks (ETA/countdown)\n    - View reserved and revoked tasks\n    - Apply time and rate limits\n    - Configuration viewer\n    - Revoke or terminate tasks\n\n- Broker monitoring\n\n    - View statistics for all Celery queues\n    - Queue length graphs\n\n- HTTP API\n- Basic Auth and Google OpenID authentication\n\nAPI  (TODO)\n-----------\n\nFlower API enables to manage the cluster via REST API, call tasks and\nreceive task events in real-time via WebSockets.\n\nFor example you can restart worker's pool by: ::\n\n    $ curl -X POST http://localhost:5555/api/worker/pool/restart/myworker\n\nOr call a task by: ::\n\n    $ curl -X POST -d '{\"args\":[1,2]}' http://localhost:5555/api/task/async-apply/tasks.add\n\nOr terminate executing task by: ::\n\n    $ curl -X POST -d 'terminate=True' http://localhost:5555/api/task/revoke/8a4da87b-e12b-4547-b89a-e92e4d1f8efd\n\nOr receive task completion events in real-time:\n\n.. code-block:: javascript \n\n    var ws = new WebSocket('ws://localhost:5555/api/task/events/task-succeeded/');\n    ws.onmessage = function (event) {\n        console.log(event.data);\n    }\n\nFor more info checkout `API Reference`_ and `examples`_.\n\n.. _API Reference: https://flower.readthedocs.io/en/latest/api.html\n.. _examples: http://nbviewer.ipython.org/urls/raw.github.com/mher/flower/master/docs/api.ipynb\n\nRequirements\n------------\n\n- Django >= 1.11.222\n- Celery >= 4.3\n- jinja2 >= 2.10.1\n\nInstallation\n------------\n\nPyPI version: ::\n\n    $ pip install django-flower\n\nDevelopment version: ::\n\n    $ pip install https://github.com/alexsilva/django-flower/zipball/master\n\nUsage\n-----\n\nAdd app flower to django installed apps: ::\n\n    INSTALLED_APPS = [\n        ...\n        'flower'\n    ]\n\nRun the event command: ::\n\n    $ python manage flower_events\n\nDocumentation\n-------------\n\nEverything that needs to be configured in the `sample project`_\n\n.. _`sample project`: https://github.com/alexsilva/django-flower/blob/master/djproject\n\n`flower_events`_ - is a django command that serves as a backend and should run in the background.\n\n.. _`flower_events`: https://github.com/alexsilva/django-flower/blob/master/flower/management/commands/flower_events.py\n\nDjango settings variable: ::\n\n    FLOWER_RPC_HOST\n    FLOWER_RPC_PORT\n    FLOWER_INSPECT_TIMEOUT\n    FLOWER_AUTH\n    FLOWER_BASIC_AUTH\n    FLOWER_OAUTH2_KEY\n    FLOWER_OAUTH2_SECRET\n    FLOWER_OAUTH2_REDIRECT_URI\n    FLOWER_MAX_WORKERS\n    FLOWER_MAX_TASKS\n    FLOWER_DB\n    FLOWER_PERSISTENT\n    FLOWER_BROKER_API\n    FLOWER_CA_CERTS\n    FLOWER_CERTFILE\n    FLOWER_KEYFILE\n    FLOWER_XHEADERS\n    FLOWER_AUTO_REFRESH\n    FLOWER_COOKIE_SECRET\n    FLOWER_ENABLE_EVENTS\n    FLOWER_FORMAT_TASK\n    FLOWER_NATURAL_TIME\n    FLOWER_TASKS_COLUMNS\n    FLOWER_AUTH_PROVIDER\n    FLOWER_INSPECT\n\n\nLicense\n-------\n\nFlower is licensed under BSD 3-Clause License. See the LICENSE file\nin the top distribution directory for the full license text.\n\nGetting help\n------------\n\nPlease head over to #celery IRC channel on irc.freenode.net or\n`open an issue`_.\n\n.. _open an issue: https://github.com/mher/flower/issues\n\nContributing\n------------\n\nIf you'd like to contribute, simply fork `the repository`_, commit your\nchanges, run the tests (`tox`) and send a pull request.\nMake sure you add yourself to CONTRIBUTORS_.\n\nIf you are interested in maintaining the project please contact.\n\n.. _`the repository`: https://github.com/alexsilva/django-flower\n.. _CONTRIBUTORS: https://github.com/alexsilva/django-flower/blob/master/CONTRIBUTORS\n\n\n",
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        "license": "BSD",
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        "name": "django-flower",
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