{ "info": { "author": "Mitch Garnaat", "author_email": "mitch@garnaat.com", "bugtrack_url": null, "classifiers": [], "description": " TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n\n 1. Definitions.\n\n \"License\" shall mean the terms and conditions for use, reproduction,\n and distribution as defined by Sections 1 through 9 of this document.\n\n \"Licensor\" shall mean the copyright owner or entity authorized by\n the copyright owner that is granting the License.\n\n \"Legal Entity\" shall mean the union of the acting entity and all\n other entities that control, are controlled by, or are under common\n control with that entity. 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We also recommend that a\n file or class name and description of purpose be included on the\n same \"printed page\" as the copyright notice for easier\n identification within third-party archives.\n\n Copyright {yyyy} {name of copyright owner}\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\nDescription: skew\n ====\n \n |Build Status|\n \n |Code Health|\n \n | **Skew** is a package for identifying and enumerating cloud resources.\n | The name is a homonym for SKU (Stock Keeping Unit). Skew allows you to\n | define different SKU ``schemes`` which are a particular encoding of a\n | SKU. Skew then allows you to use this scheme pattern and regular\n expressions\n | based on the scheme pattern to identify and enumerate a resource or\n set\n | of resources.\n \n | At the moment, the the only available ``scheme`` is the ``ARN``\n scheme.\n | The ``ARN`` scheme uses the basic structure of\n | `Amazon Resource\n Names `__\n (ARNs) to assign a unique identifier to every AWS\n | resource.\n \n An example ARN pattern would be:\n \n ::\n \n arn:aws:ec2:us-west-2:123456789012:instance/i-12345678\n \n | This pattern identifies a specific EC2 instance running in the\n ``us-west-2``\n | region under the account ID ``123456789012``. The account ID is the\n 12-digit\n | unique identifier for a specific AWS account as described\n | `here `__.\n To allow **skew** to find your account number, you need to create a **skew**\n YAML config file. By default, **skew** will look for your config file in\n ``~/.skew`` but you can use the ``SKEW_CONFIG`` environment variable to tell *skew*\n where to find your config file if you choose to put it somewhere else. The\n basic format of the *skew* config file is:\n \n .. code:: yaml\n \n ---\n accounts:\n \"123456789012\":\n profile: dev\n \"234567890123\":\n profile: prod\n \n Within the ``accounts`` section, you create keys named after your 12-digit\n account ID (as a string). Within that, you must have an entry called *profile*\n that lists the profile name this account maps to within your AWS credential\n file.\n \n \n | The main purpose of skew is to identify resources or sets of resources\n | across services, regions, and accounts and to quickly and easily\n return the\n | data associated with those resources. For example, if you wanted to\n return\n | the data associated with the example ARN above:\n \n .. code:: python\n \n from skew import scan\n \n arn = scan('arn:aws:ec2:us-west-2:123456789012:instance/i-12345678')\n for resource in arn:\n print(resource.data)\n \n | The call to ``scan`` returns an ARN object which implements the\n | `iterator\n pattern `__\n | and returns a ``Resource`` object for each AWS resource that matches\n the\n | ARN pattern provided. The ``Resource`` object contains all of the data\n | associated with the AWS resource in dictionary under the ``data``\n attribute.\n \n | Any of the elements of the ARN can be replaced with a regular\n expression.\n | The simplest regular expression is ``*`` which means all available\n choices.\n | So, for example:\n \n .. code:: python\n \n arn = scan('arn:aws:ec2:us-east-1:*:instance/*')\n \n | would return an iterator for all EC2 instances in the ``us-east-1``\n region\n | found in all accounts defined in the config file.\n \n | To find all DynamoDB tables in all US regions for the account ID\n 234567890123\n | you would use:\n \n .. code:: python\n \n arn = scan('arn:aws:dynamodb:us-.*:234567890123:table/*')\n \n CloudWatch Metrics\n ------------------\n \n | In addition to making the metadata about a particular AWS resource\n available\n | to you, ``skew`` also tries to make it easy to access the available\n CloudWatch\n | metrics for a given resource.\n \n | For example, assume that you had did a ``scan`` on the original ARN\n above\n | and had the resource associated with that instance available as the\n variable\n | ``instance``. You could do the following:\n \n .. code:: python\n \n >>> instance.metric_names\n ['CPUUtilization',\n 'NetworkOut',\n 'StatusCheckFailed',\n 'StatusCheckFailed_System',\n 'NetworkIn',\n 'DiskWriteOps',\n 'DiskReadBytes',\n 'DiskReadOps',\n 'StatusCheckFailed_Instance',\n 'DiskWriteBytes']\n >>>\n \n | The ``metric_names`` attribute returns the list of available\n CloudWatch metrics\n | for this resource. The retrieve the metric data for one of these:\n \n .. code:: python\n \n >>> instance.get_metric_data('CPUUtilization')\n [{'Average': 0.134, 'Timestamp': '2014-09-29T14:04:00Z', 'Unit': 'Percent'},\n {'Average': 0.066, 'Timestamp': '2014-09-29T13:54:00Z', 'Unit': 'Percent'},\n {'Average': 0.066, 'Timestamp': '2014-09-29T14:09:00Z', 'Unit': 'Percent'},\n {'Average': 0.134, 'Timestamp': '2014-09-29T13:34:00Z', 'Unit': 'Percent'},\n {'Average': 0.066, 'Timestamp': '2014-09-29T14:19:00Z', 'Unit': 'Percent'},\n {'Average': 0.068, 'Timestamp': '2014-09-29T13:44:00Z', 'Unit': 'Percent'},\n {'Average': 0.134, 'Timestamp': '2014-09-29T14:14:00Z', 'Unit': 'Percent'},\n {'Average': 0.066, 'Timestamp': '2014-09-29T13:29:00Z', 'Unit': 'Percent'},\n {'Average': 0.132, 'Timestamp': '2014-09-29T13:59:00Z', 'Unit': 'Percent'},\n {'Average': 0.134, 'Timestamp': '2014-09-29T13:49:00Z', 'Unit': 'Percent'},\n {'Average': 0.134, 'Timestamp': '2014-09-29T13:39:00Z', 'Unit': 'Percent'}]\n >>>\n \n You can also customize the data returned rather than using the default\n settings:\n \n .. code:: python\n \n >>> instance.get_metric_data('CPUUtilization', hours=8, statistics=['Average', 'Minimum', 'Maximum'])\n [{'Average': 0.132,\n 'Maximum': 0.33,\n 'Minimum': 0.0,\n 'Timestamp': '2014-09-29T10:54:00Z',\n 'Unit': 'Percent'},\n {'Average': 0.134,\n 'Maximum': 0.34,\n 'Minimum': 0.0,\n 'Timestamp': '2014-09-29T14:04:00Z',\n 'Unit': 'Percent'},\n ...,\n {'Average': 0.066,\n 'Maximum': 0.33,\n 'Minimum': 0.0,\n 'Timestamp': '2014-09-29T08:34:00Z',\n 'Unit': 'Percent'},\n {'Average': 0.134,\n 'Maximum': 0.34,\n 'Minimum': 0.0,\n 'Timestamp': '2014-09-29T08:04:00Z',\n 'Unit': 'Percent'}]\n >>>\n \n Filtering Data\n --------------\n \n | Each resource that is retrieved is a Python dictionary. Some of these\n (e.g.\n | an EC2 Instance) can be quite large and complex. Skew allows you to\n filter\n | the data returned by applying a `jmespath `__\n query to\n | the resulting data. If you aren't familiar with jmespath, check it\n out.\n | Its a very powerful query language for JSON data and has full support\n in\n | Python as well as a number of other languages such as Ruby, PHP, and\n | Javascript. It is also the query language used in the\n | `AWSCLI `__ so if you are familiar with\n the\n | ``--query`` option there, you can use the same thing with skew.\n \n | To specify a query to be applied to results of a scan, simply append\n | the query to the end of the ARN, separated by a ``|`` (pipe)\n character.\n | For example:\n \n ::\n \n arn:aws:ec2:us-west-2:123456789012:instance/i-12345678|InstanceType\n \n | Would retrieve the data for this particular EC2 instance and would\n then\n | filter the returned data through the (very) simple jmespath query to\n which\n | retrieves the value of the attribute ``InstanceType`` within the data.\n The\n | filtered data is available as the ``filtered_data`` attribute of the\n | Resource object. The full, unfiltered data is still available as the\n | ``data`` attribute.\n \n More Examples\n -------------\n \n `Find Unattached\n Volumes `__\n \n `Audit Security\n Groups `__\n \n `Find Untagged\n Instances `__\n \n .. |Build Status| image:: https://travis-ci.org/scopely-devops/skew.svg?branch=develop\n :target: https://travis-ci.org/scopely-devops/skew\n .. |Code Health| image:: https://landscape.io/github/scopely-devops/skew/develop/landscape.png\n :target: https://landscape.io/github/scopely-devops/skew/develop\n \nPlatform: UNKNOWN\nClassifier: Development Status :: 3 - Alpha\nClassifier: Intended Audience :: Developers\nClassifier: Intended Audience :: System Administrators\nClassifier: Natural Language :: English\nClassifier: License :: OSI Approved :: Apache Software License\nClassifier: Programming Language :: Python\nClassifier: Programming Language :: Python :: 2.6\nClassifier: Programming Language :: Python :: 2.7\nClassifier: Programming Language :: Python :: 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