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        "author": "unpluggedcoder",
        "author_email": "unpluggedcoder@outlook.com",
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        "classifiers": [
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Logging"
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        "description": "## asynclog\n[![Build Status](https://travis-ci.org/unpluggedcoder/asynclog.svg?branch=master)](https://travis-ci.org/unpluggedcoder/asynclog) [![Coverage Status](https://coveralls.io/repos/github/unpluggedcoder/asynclog/badge.svg?branch=master)](https://coveralls.io/github/unpluggedcoder/asynclog?branch=master)\n\n`asynclog` provide the asynchronous way for python logging. Leave the logging I/O(especially the network I/O when we want to logging to a network endpoint) to the asynchronous thread or asynchronous task provided by [celery](http://www.celeryproject.org/) .\n\n#### Requirements\n\n* Python 3.5+\n\n#### Install\n\n```shell\npip install asynclog\n```\n\n#### Usage\n\n* Config from dict\n\n```python\nlog_cfg = {\n    'version': 1,\n    'disable_existing_loggers': False,\n    'formatters': {\n        'simple': {\n            'format': '%(asctime)s \\n %(levelname)s \\n %(message)s'\n        },\n    },\n    'handlers': {\n        'async_handler': {\n            'level': 'INFO',\n            'formatter': 'simple',\n            'class': 'asynclog.AsyncLogDispatcher',\n            'func': '[Dot_Path_To_Your_Func]',\n        }\n    },\n    'loggers': {\n        'asynclogger': {\n            'handlers': ['async_handler', ],\n            'level': 'DEBUG',\n            'propagate': False,\n        },\n    }\n}\n\nlogging.config.dictConfig(log_cfg)\nlogger = logging.getLogger('asynclogger')\nlogger.info('Test asynclog')\n```\n\n* Using thread\n\n```python\nimport logging\nimport time\n\nfrom asynclog import AsyncLogDispatcher\n\n\ndef write_log(msg):\n    # Do write stuff, such as write log msg into network.\n    # ...\n    time.sleep(0.5)\n\n\nlogger = logging.getLogger()\nlogger.setLevel(logging.INFO)\nhandler = AsyncLogDispatcher(write_log)\nhandler.setLevel(logging.INFO)\nlogger.addHandler(handler)\n\nlogger.info('Test Log')\n```\n\n* Using Celery\n\n```python\nfrom celery import shared_task\n\n@shared_task\ndef write_task(msg):\n    # Write log in Network IO\n    print(msg)\n    \ncelery_handler = AsyncLogDispatcher(write_task, use_thread=False, use_celery=True)\ncelery_handler.setLevel(logging.INFO)\nlogger.addHandler(celery_handler)\n\nlogger.info('Test Log')\n```\n\n#### Test\n\n```shell\npython3 -m unittest\n......\n----------------------------------------------------------------------\nRan 6 tests in 0.007s\n\nOK\n```\n\n\n\n",
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        "keywords": "logging asynchronous",
        "license": "MIT",
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