Metadata-Version: 1.1
Name: skew
Version: 0.17.0
Summary: A flat address space for all your AWS resources.
Home-page: https://github.com/scopely-devops/skew
Author: Mitch Garnaat
Author-email: mitch@garnaat.com
License: Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

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Description: skew
        ====
        
        |Build Status|
        
        |Code Health|
        
        | **Skew** is a package for identifying and enumerating cloud resources.
        | The name is a homonym for SKU (Stock Keeping Unit). Skew allows you to
        | define different SKU ``schemes`` which are a particular encoding of a
        | SKU. Skew then allows you to use this scheme pattern and regular
          expressions
        | based on the scheme pattern to identify and enumerate a resource or
          set
        | of resources.
        
        | At the moment, the the only available ``scheme`` is the ``ARN``
          scheme.
        | The ``ARN`` scheme uses the basic structure of
        | `Amazon Resource
          Names <http://docs.aws.amazon.com/general/latest/gr/aws-arns-and-namespaces.html>`__
          (ARNs) to assign a unique identifier to every AWS
        | resource.
        
        An example ARN pattern would be:
        
        ::
        
            arn:aws:ec2:us-west-2:123456789012:instance/i-12345678
        
        | This pattern identifies a specific EC2 instance running in the
          ``us-west-2``
        | region under the account ID ``123456789012``. The account ID is the
          12-digit
        | unique identifier for a specific AWS account as described
        | `here <http://docs.aws.amazon.com/general/latest/gr/acct-identifiers.html>`__.
        To allow **skew** to find your account number, you need to create a **skew**
        YAML config file.  By default, **skew** will look for your config file in
        ``~/.skew`` but you can use the ``SKEW_CONFIG`` environment variable to tell *skew*
        where to find your config file if you choose to put it somewhere else.  The
        basic format of the *skew* config file is:
        
        .. code:: yaml
        
            ---
              accounts:
                "123456789012":
                  profile: dev
                "234567890123":
                  profile: prod
        
        Within the ``accounts`` section, you create keys named after your 12-digit
        account ID (as a string).  Within that, you must have an entry called *profile*
        that lists the profile name this account maps to within your AWS credential
        file.
                  
        
        | The main purpose of skew is to identify resources or sets of resources
        | across services, regions, and accounts and to quickly and easily
          return the
        | data associated with those resources. For example, if you wanted to
          return
        | the data associated with the example ARN above:
        
        .. code:: python
        
            from skew import scan
        
            arn = scan('arn:aws:ec2:us-west-2:123456789012:instance/i-12345678')
            for resource in arn:
                print(resource.data)
        
        | The call to ``scan`` returns an ARN object which implements the
        | `iterator
          pattern <https://docs.python.org/2/library/stdtypes.html#iterator-types>`__
        | and returns a ``Resource`` object for each AWS resource that matches
          the
        | ARN pattern provided. The ``Resource`` object contains all of the data
        | associated with the AWS resource in dictionary under the ``data``
          attribute.
        
        | Any of the elements of the ARN can be replaced with a regular
          expression.
        | The simplest regular expression is ``*`` which means all available
          choices.
        | So, for example:
        
        .. code:: python
        
            arn = scan('arn:aws:ec2:us-east-1:*:instance/*')
        
        | would return an iterator for all EC2 instances in the ``us-east-1``
          region
        | found in all accounts defined in the config file.
        
        | To find all DynamoDB tables in all US regions for the account ID
          234567890123
        | you would use:
        
        .. code:: python
        
            arn = scan('arn:aws:dynamodb:us-.*:234567890123:table/*')
        
        CloudWatch Metrics
        ------------------
        
        | In addition to making the metadata about a particular AWS resource
          available
        | to you, ``skew`` also tries to make it easy to access the available
          CloudWatch
        | metrics for a given resource.
        
        | For example, assume that you had did a ``scan`` on the original ARN
          above
        | and had the resource associated with that instance available as the
          variable
        | ``instance``. You could do the following:
        
        .. code:: python
        
            >>> instance.metric_names
            ['CPUUtilization',
             'NetworkOut',
             'StatusCheckFailed',
             'StatusCheckFailed_System',
             'NetworkIn',
             'DiskWriteOps',
             'DiskReadBytes',
             'DiskReadOps',
             'StatusCheckFailed_Instance',
             'DiskWriteBytes']
            >>>
        
        | The ``metric_names`` attribute returns the list of available
          CloudWatch metrics
        | for this resource. The retrieve the metric data for one of these:
        
        .. code:: python
        
            >>> instance.get_metric_data('CPUUtilization')
            [{'Average': 0.134, 'Timestamp': '2014-09-29T14:04:00Z', 'Unit': 'Percent'},
             {'Average': 0.066, 'Timestamp': '2014-09-29T13:54:00Z', 'Unit': 'Percent'},
             {'Average': 0.066, 'Timestamp': '2014-09-29T14:09:00Z', 'Unit': 'Percent'},
             {'Average': 0.134, 'Timestamp': '2014-09-29T13:34:00Z', 'Unit': 'Percent'},
             {'Average': 0.066, 'Timestamp': '2014-09-29T14:19:00Z', 'Unit': 'Percent'},
             {'Average': 0.068, 'Timestamp': '2014-09-29T13:44:00Z', 'Unit': 'Percent'},
             {'Average': 0.134, 'Timestamp': '2014-09-29T14:14:00Z', 'Unit': 'Percent'},
             {'Average': 0.066, 'Timestamp': '2014-09-29T13:29:00Z', 'Unit': 'Percent'},
             {'Average': 0.132, 'Timestamp': '2014-09-29T13:59:00Z', 'Unit': 'Percent'},
             {'Average': 0.134, 'Timestamp': '2014-09-29T13:49:00Z', 'Unit': 'Percent'},
             {'Average': 0.134, 'Timestamp': '2014-09-29T13:39:00Z', 'Unit': 'Percent'}]
            >>>
        
        You can also customize the data returned rather than using the default
        settings:
        
        .. code:: python
        
            >>> instance.get_metric_data('CPUUtilization', hours=8, statistics=['Average', 'Minimum', 'Maximum'])
            [{'Average': 0.132,
              'Maximum': 0.33,
              'Minimum': 0.0,
              'Timestamp': '2014-09-29T10:54:00Z',
              'Unit': 'Percent'},
             {'Average': 0.134,
              'Maximum': 0.34,
              'Minimum': 0.0,
              'Timestamp': '2014-09-29T14:04:00Z',
              'Unit': 'Percent'},
              ...,
             {'Average': 0.066,
              'Maximum': 0.33,
              'Minimum': 0.0,
              'Timestamp': '2014-09-29T08:34:00Z',
              'Unit': 'Percent'},
             {'Average': 0.134,
              'Maximum': 0.34,
              'Minimum': 0.0,
              'Timestamp': '2014-09-29T08:04:00Z',
              'Unit': 'Percent'}]
            >>>
        
        Filtering Data
        --------------
        
        | Each resource that is retrieved is a Python dictionary. Some of these
          (e.g.
        | an EC2 Instance) can be quite large and complex. Skew allows you to
          filter
        | the data returned by applying a `jmespath <http://jmespath.org>`__
          query to
        | the resulting data. If you aren't familiar with jmespath, check it
          out.
        | Its a very powerful query language for JSON data and has full support
          in
        | Python as well as a number of other languages such as Ruby, PHP, and
        | Javascript. It is also the query language used in the
        | `AWSCLI <https://aws.amazon.com/cli/>`__ so if you are familiar with
          the
        | ``--query`` option there, you can use the same thing with skew.
        
        | To specify a query to be applied to results of a scan, simply append
        | the query to the end of the ARN, separated by a ``|`` (pipe)
          character.
        | For example:
        
        ::
        
            arn:aws:ec2:us-west-2:123456789012:instance/i-12345678|InstanceType
        
        | Would retrieve the data for this particular EC2 instance and would
          then
        | filter the returned data through the (very) simple jmespath query to
          which
        | retrieves the value of the attribute ``InstanceType`` within the data.
          The
        | filtered data is available as the ``filtered_data`` attribute of the
        | Resource object. The full, unfiltered data is still available as the
        | ``data`` attribute.
        
        More Examples
        -------------
        
        `Find Unattached
        Volumes <https://gist.github.com/garnaat/73804a6b0bd506ee6075>`__
        
        `Audit Security
        Groups <https://gist.github.com/garnaat/4123f1aefe7d65df9b48>`__
        
        `Find Untagged
        Instances <https://gist.github.com/garnaat/11004f5661b4798d27c7>`__
        
        .. |Build Status| image:: https://travis-ci.org/scopely-devops/skew.svg?branch=develop
           :target: https://travis-ci.org/scopely-devops/skew
        .. |Code Health| image:: https://landscape.io/github/scopely-devops/skew/develop/landscape.png
           :target: https://landscape.io/github/scopely-devops/skew/develop
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: System Administrators
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
