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        "author": "Kwangyeol Ryu",
        "author_email": "kwangyeolryu@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
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        "description": "dts: Generate sequence of datetimes, like seq\n=============================================\n\n## Sequece of dates\n\n`dts` generate sequence of datetimes. \n\n```\n$ dts 20180401 20180403\n20180401\n20180402\n20180403\n```\n\nIf you do it using `seq`, it will like below.\n\n```bash\n$ seq 1 3\n1\n2\n3\n$ seq -f '%02g' 1 3 | xargs -I {} echo \"201804{}\"\n20180401\n20180402\n20180403\n```\n\n## Install\n\n```bash\npip install dts\n```\n\n\n## How to use: Simple\n\n```bash\n$ dts -h\nusage: dts [-h] [-i INTERVAL] [-f FORMAT] FIRST LAST\n\ndts is a seq util for datetimes\n\nExamples:\n\n  $ dts 20180501 20180503\n  20180501\n  20180502\n  20180503\n\n  $ dts 20180501-0900 20180501-1200 -i h1 -f '%Y-%m-%dT%H:%M:%S'\n  2018-05-01T09:00:00\n  2018-05-01T10:00:00\n  2018-05-01T11:00:00\n  2018-05-01T12:00:00\n\nGithub: https://github.com/KwangYeol/dts\n\npositional arguments:\n  FIRST                 first date of the seq. For example, 2018-05-01, 20180501, 20180501-0900, 2018-05-01T09:00\n  LAST                  last date of the seq. See also, FIRST\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -i INTERVAL, --interval INTERVAL\n                        interval: h1, d1, w1. default value is d1\n  -f FORMAT, --format FORMAT\n                        see also, datetime.strftime\n```\n\n* `-i`: It has two parts. (time unit) + (interval). \n  - time unit: `h` menas hours, `d` means days, and `w` menas weeks \n  - interval: numbers\n  - `h1` means 1-hour interval, `d3` means 3-day interval, etc.\n  - default value is `d1`\n\n* `-f`: It has datetime format. See this (https://docs.python.org/2/library/datetime.html#strftime-strptime-behavior)\n\n\n## How to use: with Pipeline\n\n```bash\n$ dts 20180401 20180430 -i d7\n20180401\n20180408\n20180415\n20180422\n20180429\n\n$ dts 20180510-0900 20180510-1400 -i h1 -f '%Y%m%d-%H00'\n20180510-0900\n20180510-1000\n20180510-1100\n20180510-1200\n20180510-1300\n20180510-1400\n\n$ dts 20180510-0900 20180510-1400 -i h1 -f '%Y-%m-%dT%H:00'\n2018-05-10T09:00\n2018-05-10T10:00\n2018-05-10T11:00\n2018-05-10T12:00\n2018-05-10T13:00\n2018-05-10T14:00\n```\n\n\n### How to use\n\nFor examle, you have hive table named `credit` which has daily partition `yyyymmdd` like below.\n\n```bash\nhadoop fs -ls /hive/warehouse/sales.db/credit/yyyymmdd=20180401\n```\n\nYou can find the data size in some range with `dts`.\n\n```bash\n$ dts 20180401 20180410 | xargs -I {} hadoop fs -ls /hive/warehouse/sales.db/credit/yyyymmdd={}\n```\n\n\n## Development\n\npython setup.py install\npython setup.py sdist \npython setup.py sdist bdist bdist_wheel\n\n",
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