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        "author": "Chris Chang",
        "author_email": "cchang@texastribune.org",
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            "License :: OSI Approved :: BSD License",
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            "Programming Language :: Python"
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        "description": "Quick n dirty CLI for checking [AWS] inventory\n\nSpecifically design for my own personal workflow.\n\n  [AWS]: http://aws.amazon.com/\n\nHere Be Dragons\n---------------\n\nIf you're doing something serious, you should look into these better\nalternatives:\n\n* https://github.com/DrGonzo65/ec2-cli-tools - very similar package that lets\n  you glob\n* https://github.com/mattrobenolt/ec2 - lets you query instances using django-\n  orm-like syntax\n* awscli - official aws cli\n\n\nIf you're still here, here's the deal: This is a CLI for querying aws for what\ninstances are running and display them in a table with the same columns I have\nenabled in the web interface. You can sort by specifying the headers:\n\n    voyeur name\n    voyeur launch_time\n    voyeur environment\n\nYou can filter similarily like:\n\n    voyeur environment=production\n\nOr go crazy (show production foo sites ordered by launch time):\n\n    voyeur environment=production site=foo launch_time\n\nI picked the columns and names so that line lengths are under 120 columns;\nwhich is how wide my terminal is.\n\n\nBut Wait, There's More\n----------------------\n\nIf you make the first argument `elb` or `rds`, you can list your elastic load\nbalancers and databases too. You can also do add `ec2` if you like being\nconsistent.\n\n\nExample\n-------\n\n### List EC2\n\n```bash\nname                   environment    site     ip              private_ip      launch_time    id\n---------------------  -------------  -------  --------------  --------------  -------------  ----------\nhodor-weg              prod           groot    54.85.94.132    10.0.0.2        2014-06-17     i-27fghb69\ngroot-elasticsearch    prod           hodor                    10.0.0.1        2014-08-08     i-abcdcaz7\n```\n\n\n### List ELB\n\n```bash\n$ voyeur elb\nname     dns_name                                     pool  created_time\n-------  -------------------------------------------  ------  ------------------------\ngroot    groot-1529220.us-east-1.elb.amazonaws.com         3  2012-02-03T01:41:02.930Z\nhodor    hodor-4545272.us-east-1.elb.amazonaws.com         2  2014-03-08T06:15:53.610Z\n```\n\n### List RDS\n\n```bash\n$ voyeur rds\nid          uri\n----------  -------------------------------------------------------------------------------\ngroot-db    postgres://iamgroot@groot-db.cya8ag0rj.us-east-1.rds.amazonaws.com:5432/groot\nhodor-db    postgres://iamgroot@hodor-db.cya8ag0rj.us-east-1.rds.amazonaws.com:5432/groot\n```\n\n\n## Installation\n\n    pip install aws-voyeur\n\n## Usage\n\nConfigure boto following [the official instructions](http://boto.readthedocs.org/en/latest/boto_config_tut.html).\n\nA basic configuration would just involve setting the `AWS_ACCESS_KEY_ID`,\n`AWS_SECRET_ACCESS_KEY` environment variables.\n\n\n## AWS IAM Policy\n\nThis library requires the Describe* permissions. You can use use the \"Read Only\nAccess\" policy template, or you can make your own with at least these\npermissions:\n\n```json\n{\n  \"Statement\": [\n    {\n      \"Action\": [\n        \"ec2:Describe*\",\n        \"elasticloadbalancing:Describe*\",\n        \"rds:Describe*\"\n      ],\n      \"Effect\": \"Allow\",\n      \"Resource\": \"*\"\n    }\n  ]\n}\n```",
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