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    "info": {
        "author": "Severin B\u00fchler",
        "author_email": "severin.buehler@apgsga.ch",
        "bugtrack_url": null,
        "classifiers": [
            "Environment :: Web Environment",
            "Framework :: Django",
            "Framework :: Django :: 2.1",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Internet :: WWW/HTTP :: Dynamic Content"
        ],
        "description": "# hueyx\n\n[![PyPI version](https://badge.fury.io/py/hueyx.svg)](https://badge.fury.io/py/hueyx)\n\nA django extension to run huey with multiple queues.\nMultiple queues allow tasks to not block each other and to scale independently.\nOnly the redis storage is supported.\n\n---\n##### Important\n\n- If you use `huey 1.x` then install `hueyx 0.1.2`. Checkout the git tag [huey1.x](https://github.com/APGSGA/hueyx/tree/huey1.x).\n- If you use `huey 2.x` then install `hueyx  >= 1.0`.\n\n---\n\n### Usage\n\nInstall it with\n```bash\npip install hueyx\n```\n\nAdd hueyx in your installed apps.\n\n```python\nINSTALLED_APPS = [\n    'django.contrib.admin',\n    'django.contrib.auth',\n    'django.contrib.contenttypes',\n    'django.contrib.sessions',\n    'django.contrib.messages',\n    'django.contrib.staticfiles',\n    'hueyx',\n]\n```\n\n\n\n##### settings.py\n\nCompared to djhuey, hueyx allows several queues to be defined in the settings.py. \n\n```python\nHUEYX = {\n    'queue_name1': {\n        'connection': {\n            'host': 'localhost',\n            'port': 6379,\n            'db': 0,\n        },\n        'consumer': {\n            'workers': 1,\n            'worker_type': 'process',\n        }\n    },\n    'queue_name2': {\n        'connection': {\n            'connection_pool': ConnectionPool(host='localhost', port=6379, db=1)\n        },\n        'consumer': {\n            'multiple_scheduler_locking': True,\n            'prometheus_metrics': True,\n            'workers': 2,\n            'worker_type': 'thread',\n        }\n    },\n}\n```\n\nThe settings are almost the same as in djhuey.\nHave a look at the [huey documentation](https://huey.readthedocs.io/en/latest/contrib.html#setting-things-up) \nto see the exact parameter usage.\n\nExceptions:\n- You can only configure redis as storage engine.\n- The `name` and `backend_class` parameters are not supported.\n- The options `multiple_scheduler_locking` and `prometheus_metrics_enabled` have been added. See below.\n- The parameters `heartbeat_timeout` for `db_task` has been added. See below.\n\n##### tasks.py\n\n```python\nfrom hueyx.queues import hueyx\n\n\"\"\"\nDefine which queue you want to use.\nThey are predefined in settings.py.\n\"\"\"\nHUEY_Q1 = hueyx('queue_name1')\nHUEY_Q2 = hueyx('queue_name2')\n\n\n@HUEY_Q1.task()\ndef my_task1():\n    print('my_task1 called')\n\n@HUEY_Q1.db_task()\ndef my_db_task1():\n    print('my_db_task1 called')\n\n@HUEY_Q2.task()\ndef my_task2():\n    print('my_task2 called')\n\n@HUEY_Q2.periodic_task(crontab(minute='0', hour='3'))\ndef my_periodic_task2():\n    print('my_periodic_task2 called')\n    return 1\n\n@HUEY_Q2.db_task(heartbeat_timeout=120)\ndef my_heartbeat_task(heartbeat: Heartbeat):\n    with heartbeat.long_running_operation():\n        print('This operation can take a while -> don\\'t check for heartbeats')\n    print('Now we check for heartbeats -> call heartbeat() periodically')\n    heartbeat()\n```\n\n##### Push task to queue\n```python\nfrom example.tasks import my_task1, my_db_task1, my_task2\n\n\nmy_task1()  # Task for queue_name1\nmy_db_task1()  # Task for queue_name1\nmy_task2()  # Task for queue_name2\n```\n\n##### Run consumer\nConsumers are started with the queue_name.\n```bash\n./manage.py run_hueyx queue_name1\n```\n\n##### Heartbeat tasks\nHeartbeat tasks are tasks with the parameter `heartbeat_timeout`. It defines the timeout in seconds. \nThey get a Heartbeat object which needs to be called in order to send a heartbeat to redis. \nIf no heartbeat occurs in set timeout the task is presumed to be dead and will automatically get restarted. \n`heartbeat_timeout` needs to be at least 120 seconds. It does not work together with the parameter `include_task`.\n\n### Additional settings\n\n##### multiple_scheduler_locking\n`multiple_scheduler_locking` has been added to support multiple huey schedulers.\nIf you run huey in a cloud environment, you will end up running multiple huey instances which each will\nschedule the periodic task.\n`multiple_scheduler_locking` prevents periodic tasks to be scheduled multiple times. It is false by default.\n\n\n### Huey signals\n\nOptionally hueyx pushes all huey signals to the redis pubsub `hueyx.huey2.signaling` if enabled.\n```python\nHUEYX_SIGNALS = {\n    'enabled': True,\n    'environment': 'your environment'\n}\n```\n\nThe format of the message is\n```python\n{\n    'environment': settings.HUEYX_ENVIRONMENT,\n    'queue': queue,\n    'pid': pid,\n    'signal': signal_name,\n    'task': task_name\n}\n``` \nThe environment parameter is a optional variable.\n\n\n##### Prometheus\nThe [huey-exporter](https://github.com/APGSGA/huey-exporter) project takes the signals und reports it to prometheus.\n\n\n### Collaborators\n\n- [Update hueyx on PyPi](documentation/update_version.md)\n\n",
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        "license": "MIT License",
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        "name": "hueyx",
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