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        "description": "Django ReDo\n=============\n\nEasy use!\n\n**Django ReDo** is a very lightweight django library which allows to easily add asynchronous\ntasks execution functionality. Library requires configured Redis server.\n\n\nInstallation\n------------\n\n    pip install Django-ReDo\n\n\n**Usage**\n\n    from django_redo import task\n    \n    # Registering new task\n    @task.define()\n    def some_async_function(hello):\n        # some code...\n        print(f'Hello {hello}')\n    \n    # This operation will schedule task to execute this function.\n    some_async_function('world')\n    \n    # Or to run it directly without scheduling\n    some_async_function.call('world')\n    \nThen we need to run worker, which will execute scheduled tasks.\n\n    python manage.py redo\n    \nDjango ReDo completely compatible with the **@staticmethods** and **functions**. It's\nuseful, when you need to group some async tasks into class.\n\n\n**Configuring django**\n\nSimply add django_redo to installed apps of your django project settings.\n\n    INSTALLED_APPS = [\n        ...\n        'django_redo',\n        ...\n    ]\n    \nThen configure specific settings for django redo:\n\n\n|OPTION|TYPE|DEFAULT|COMMENT|\n|---|---|---|---|\n|REDO_QUEUE_POLL|Float|0.05|Interval to poll redis tasks queue|\n|REDO_QUEUE_THREADS|Int|1|How much queue worker threads should be registered|\n|REDO_QUEUE_DBS|Dict|{}|*Redis server settings|\n\n*Redis server settings can be specified in two ways:\n\n**IPv Connection:**\n\n    REDO_QUEUE_DBS = {\n        \"default\": {\n            \"DB\": 0,\n            \"PASSWORD\": \"******\",\n            \"HOST\": \"127.0.0.1\",\n            \"PORT\": 6379,\n            \"THREADS\": 1\n        }\n    }\n    \n**UNIX-Socket Connection:**\n\n    REDO_QUEUE_DBS = {\n        \"default\": {\n            \"DB\": 0,\n            \"PASSWORD\": \"******\",\n            \"USOCK\": \"/tmp/redis.sock\",\n            \"THREADS\": 1\n        }\n    }\n    \nUsing different queues\n----------------------\n\nDjango ReDo allows you to use as many queues as you want. To make it possible, you need\nto configure few more queues at **REDO_QUEUE_DBS**.\n\n**For example**\n\n    REDO_QUEUE_DBS = {\n        \"fast\": {\n            \"DB\": 0,\n            \"PASSWORD\": \"******\",\n            \"USOCK\": \"/tmp/redis.sock\",\n            \"THREADS\": 1\n        },\n        \"long\": {\n            \"DB\": 1,\n            \"PASSWORD\": \"******\",\n            \"USOCK\": \"/tmp/redis.sock\",\n            \"THREADS\": 2\n        },\n        \"default\": {\n            \"DB\": 0,\n            \"PASSWORD\": \"******\",\n            \"HOST\": \"127.0.0.1\",\n            \"PORT\": 6379,\n            \"THREADS\": 1\n        }\n    }\n    \nAs you understand, you need to run specific workers for each queue.\n\n    python manage.py redo --thread 1 --queue long\n    python manage.py redo --thread 2 --queue long\n    python manage.py redo --thread 1 --queue fast\n    python manage.py redo --thread 1\n    \nLast row runs default queue worker. And to schedule any task to specific queue - \nsimply provide it to **define** decorator:\n\n    from django_redo import task\n    \n    # Registering new task to specific queue\n    @task.define('long')\n    def some_async_function(hello):\n        # some code...\n        print(f'Hello {hello}')\n        \n        \nMulti-threads example\n---------------------\n\nIf you have a lot of heavy tasks which will be scheduled and should be executed as parallel\nas it's possible - you just need to update **THREADS** option for your specific redis database\nand run same number of workers.\n\n    REDO_QUEUE_DBS = {\n        \"default\": {\n            \"DB\": 0,\n            \"PASSWORD\": \"******\",\n            \"HOST\": \"127.0.0.1\",\n            \"PORT\": 6379,\n            \"THREADS\": 4\n        }\n    }\n\nAnd 4 workers for the 4 threads:\n\n    python manage.py redo --thread 1 --queue default\n    python manage.py redo --thread 2 --queue default\n    python manage.py redo --thread 3 --queue default\n    python manage.py redo --thread 4 --queue default",
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        "license": "General Public License v3.0",
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        "name": "Django-ReDo",
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