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        "author": "Pattarawut Imamnuaysup",
        "author_email": "pattarawut@hot-now.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# PGAnonymizer\n\nPGAnonymizer is a tool for anonymizing database for testing purposes.\n\n## Installation\nPGAnonymizer required Python 3.5 and above to run. PGAnonymizer can be installed using pip.\n```sh\n$ pip install pganonymizer\n```\n\n## Background\nPGAnonymizer will hash columns in table depending on the rules inside CSJ file.\n### CSJ file format:\n```\n\"table\", \"column\", \"rule\"\n\"schema.table_to_be_hased\", \"columned_to_be_hased\", \"hash\"\n\"schema.table_to_be_hased\", \"columned_to_be_hased\", \"date\"\n\"schema.table_to_be_hased\", \"columned_to_be_hased\", \"phone\"\n```\n#### Example for rules for hashing\n`Hash` is for text type field such as name or address. The return value will be in base32 with length of atmost 16.  \nExample input:\n```\nCustomer1\n```\nExample output:\n```\nEC35FEOXDMVR7Y5C\n```\n`Date` is for date type field. The return value will keep the original year but hash the month and date field.   \nExample input:\n```\n2000-12-15\n```\nExample output:\n```\n2000-01-10\n```\n`Phone` is for phone number. The return value will be of same length as the original number.   \nExample input:\n```\n+66932019385\n```\nExample output:\n```\n+66254818000\n```\n## Instruction\nFormat:\n```sh\n$ pganonymizer [database environment] [option]\n```\nTo use PGAnonymizer, you can call:\n```sh\n$ pganonymizer --schema path_to_schema_file.csj\n```\nBy default, PGAnonymizer will connect to database using user's username as database and role.  \nOtherwise, please specify as follow:\n```sh\n$ pganonymizer -d postgres -U postgres --schema path_to_schema_file.csj\n```\nFor more information on the usage, please use the following command:\n```sh\n$ pganonymizer --help\n```\n\n",
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