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        "author": "Rob Golding",
        "author_email": "rob@robgolding.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "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 :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Distributed Computing"
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        "description": "# Celery-S3\n\n[![Build Status](https://travis-ci.org/robgolding/celery-s3.svg?branch=master)](https://travis-ci.org/robgolding/celery-s3)\n[![Coverage Status](https://coveralls.io/repos/github/robgolding/celery-s3/badge.svg?branch=master)](https://coveralls.io/github/robgolding/celery-s3?branch=master)\n\nCelery-S3 is a simple S3 result backend for Celery.\n\nIf used in conjunction with the SQS broker, it allows for Celery deployments\nthat use only distributed AWS services -- with no dependency on individual\nmachines within your infrastructure.\n\nThis backend probably isn't suitable for particularly high-traffic Celery\ndeployments, but it works just fine in general -- and imposes no limits on the\nnumber of workers in the pool.\n\n## Installation\n\nInstall via pip:\n\n`pip install celery-s3`\n\nThen configure Celery to use the `S3Backend`:\n\n    CELERY_RESULT_BACKEND = 'celery_s3.backends.S3Backend'\n\n    CELERY_S3_BACKEND_SETTINGS = {\n        'aws_access_key_id': '<your_aws_access_key_id>',\n        'aws_secret_access_key': '<your_aws_secret_access_key>',\n        'bucket': '<your_bucket_name>',\n    }\n\n## Configuration\n\nTo use a folder within the specified bucket, set the `base_path` in your\n`CELERY_S3_BACKEND_SETTINGS`:\n\n\n    CELERY_S3_BACKEND_SETTINGS = {\n        ...\n        'base_path': '/celery/',\n        ...\n    }\n\nTo use a region other than the default (`us-east-1`), set the `aws_region`\nparameter:\n\n    CELERY_S3_BACKEND_SETTINGS = {\n        ...\n        'aws_region': 'us-east-1',\n        ...\n    }\n\nTo use [reduced redundancy storage](https://aws.amazon.com/s3/reduced-redundancy/),\nset the `reduced_redundancy` parameter:\n\n    CELERY_S3_BACKEND_SETTINGS = {\n        ...\n        'reduced_redundancy': True,\n        ...\n    }\n\nTo use [server-side encryption](http://docs.aws.amazon.com/AmazonS3/latest/dev/serv-side-encryption.html),\nset the `encrypt_key` parameter:\n\n    CELERY_S3_BACKEND_SETTINGS = {\n        ...\n        'encrypt_key': True,\n        ...\n    }\n\n## Notes\n\nStoring Celery results with this backend will obviously result in API calls\nbeing made to Amazon S3.  For each result, at least one `PUT` request will be\nmade (priced at $0.01 per 1,000 requests at the time of writing).  Also, the\ndata contained within the result object will be stored indefinitely, unless\notherwise specified.\n\nTo fetch a result for a task that has already finished, at least two requests\nwill be made (one `HEAD` and one `GET`).  If you use Celery's `result.get()` to\nwait for a task to finish, S3 will be polled continuously until the task has\nfinished.\n\nBy default, the poll interval is set to 0.5 seconds, which could result in\na lot of requests (two `HEAD` requests per second until the task has finished,\nthen one `GET` request to fetch the result).  If you need to use\n`result.get()`, consider increasing the interval and using a timeout to prevent\npolling forever: `result.get(interval=5, timeout=600)`.\n\nAlso, for tasks whose result you don't need, be sure to use `ignore_result`:\n\n    @celery.task(ignore_result=True)\n    def process_data(obj):\n        obj.do_processing()\n\nOnce task results have been used and are no longer needed, be sure to call\n`result.forget()` to delete the corresponding S3 key.  Otherwise, old results\nwill remain forever and contribute to storage costs (storage is priced at\n$0.095 per GB per month at the time of writing).\n\nAlso, the S3 lifecycle can be used to archive or delete old keys after\na certain period of time.",
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