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        "author": "BoyleGu",
        "author_email": "gubaoer@hotmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Internet :: WWW/HTTP",
            "Topic :: Software Development :: Libraries"
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        "description": "celery-task-tigger\n====\n\n[![release](https://img.shields.io/badge/release-0.3-blue.svg)]()\n[![license](https://img.shields.io/badge/license-MIT-blue.svg)]()\n[![celery](https://img.shields.io/badge/celery-3%7C4-brightgreen.svg)]()\n\n\nA controllable timing task widgets with Celery\n\n## About\n\nAs is known to all, Celery have a already provides periodic task and it's very perfit. But, Assume this case: After my task was called, I hope it's task can  frequency of execution, and when celery task was started. \n\nThe above case, Periodic task is hard to practice, Becacuse it's depend on celery beat. ``celery-task-tigger`` do it over simple packaging or implement for solution to do it.\n\n\n## Installation\n\n~~~python\npip install celery-task-tigger\n\n~~~\n\n## Useage\n\nAssume you have aleady install celery and can do it.\n\n### Bases\n\nOption `max_times` is must be appoint.\n\n~~~python\nfrom celery_tasktigger.decorator import tigger_task\n\n@app.task(bind=True)\n@tigger_task(max_times='forever')    # forever is expressed unlimited time\ndef add(self, x, y):\n    return x + y\n\n~~~\n\n### max_times\n\nOption `max_times`: The maximum number of execute the task times.\n\nType\uff1a ***int***\n\n> Note: The value ***'forever'*** is expressed unlimited time. \n\nExample: \n\n~~~python\n@app.task(bind=True)\n@tigger_task(max_times=3)    # after execute 3 times, raise an exception\ndef add(self, x, y):\n    return x + y\n\n~~~\n\n### countdown\n\nOption `countdown`: You can also provide the countdown argument to execute.\n\nType:  ***int***\n\nDefault: 1 (seconds)\n\nExample: \n\n~~~python\n@app.task(bind=True)\n@tigger_task(max_times='forever', countdown=3)    # each execute in 3 seconds\ndef add(self, x, y):\n    return x + y\n\n~~~\n\n## How To Calling Task\n\n~~~~python\n>> from example import add\n>> add.apply_async((1,2))\n~~~~\n\nyou can also delayed execute task, as follow\uff1a\n\n~~~~python\n>> from example import add\n>> add.apply_async((1,2), countdown=4)   # after 4 seconds, begin start task\n~~~~\n\n> About Celery Task, Please see below for details\uff1a \n> [Celery Calling-Tasks Document](http://docs.jinkan.org/docs/celery/userguide/calling.html)\n\n## How To Stop\n\nif you appoint `max_times='forever'` or provides the bigger values of max_times, you must stop it in programe.\n\n~~~~python\n>> result = add.apply_async((1,2))\n>> result.revoke()\n   or\n>> from mycelery import app\n>> app.control.revoke('task_id')\n~~~~\n\n> See below for details\uff1a \n> [Celery Document\u2014\u2014FAQ](http://docs.jinkan.org/docs/celery/faq.html#can-i-cancel-the-execution-of-a-task)\n\n## Some screenshots\n\n![](http://i1.piimg.com/536217/1ae9af3a274de4c7.gif)\n\n## Features\n\n- 100\uff05 full compatible with Celery\n\n- the frequency of execution for task\n\n- ...and many other stuff (o,0)\n\n\n## Author\n\n- Boyle Gu\n",
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