Metadata-Version: 1.1
Name: mixcoatl
Version: 0.2.5
Summary: enStratus API Python wrapper
Home-page: https://github.com/enStratus/mixcoatl
Author: John E. Vincent
Author-email: lusis.org+github.com@gmail.com
License: Apache 2.0
Description: Mixcoatl
        =========
        Mixcoatl was the father of Quetzalcoatl. His name means "Cloud Serpent". Fitting for a Python library for the enStratus API.
        
        Build Status
        ~~~~~~~~~~~~
        
        .. image:: https://secure.travis-ci.org/enStratus/mixcoatl.png
                :target: http://travis-ci.org/enStratus/mixcoatl
        
        Word of warning
        ----------------
        This repo is not feature complete in that not all operations are supported. At this point read access to all resources documented in the API doc are working.
        
        Support is now being added to each resource to implement write operations.
        
        Usage notes
        ~~~~~~~~~~~
        At a minimum, the following environment variables will need to be set:
        
        - ``ES_SECRET_KEY``
        - ``ES_ACCESS_KEY``
        
        By default, api calls will be made against the enStratus production SaaS and API version ``2012-06-15``. These can be overridden with the following variables:
        
        - ``ES_ENDPOINT``
        - ``ES_API_VERSION``
        
        When overriding the endpoint, it should be in the form of:
        
        ``http[s]://api.endpoint.domain/api/enstratus/<api version>``
        
        Note that setting both ``ES_API_VERSION`` and ``ES_ENDPOINT`` is not cumulative. If you wish to use a private endpoint, it must include the version in the url.
        
        ``es-dump.py``
        --------------
        ``mixcoatl`` also ships with a small script for querying arbitrary objects via the enStratus API called ``es-dump.py``. It's very minimal and only dumps the json results of your query:
        
        example:
        
        .. code-block:: bash
        
                es-dump.py admin/Job
        
        .. code-block:: yaml
        
                {
                  "jobs": []
                }
        
        It can also accept query params in the form of a python ``dict`` (the same format the ``requests`` library uses:
        
        .. code-block:: bash
        
                es-dump.py geography/DataCenter "{'regionId':19344}"
        
        .. code-block:: yaml
        
                {
                  "dataCenters": [
                    {
                      "dataCenterId": 64351, 
                      "description": "us-west-2a", 
                      "name": "us-west-2a", 
                      "providerId": "us-west-2a", 
                      "region": {
                        "cloud": {
                          "cloudId": 1
                        }, 
                        "customer": {
                          "customerId": 14334
                        }, 
                        "description": "AWS Western United States (2)", 
                        "jurisdiction": "US", 
                        "name": "Oregon (us-west-2)", 
                        "providerId": "us-west-2", 
                        "regionId": 19344, 
                        "status": "ACTIVE"
                      }, 
                      "status": "ACTIVE"
                    }
                  ]
                }
        
        You'll need to set the environment variables as described above obviously.
        
        Lazy loading
        -------------
        By default, any object you request by its id will not actually hit the endpoint. Only when you request the object in full or a specific attribute, will it actually make the API call. If the API call fails, the error will be returned to you. You can always check the object's ``last_error`` attribute to determine if it failed or not.
        
        example:
        
        >>> from mixcoatl.geography.cloud import Cloud
        >>> c = Cloud(1)
        >>> # returns immediately
        >>> c.cloud_id
        1
        >>> c.name
        >>> # api call is made.
        u'Amazon Web Services'
        
        ``.all()``
        ----------
        All objects should support a call to return all resources of that type. This will actually return a list of objects. Note that calling ``.all()`` actually deferences the objects so an API call will be made for each object:
        
        example:
        
        >>> from mixcoatl.geography.cloud import Cloud
        >>> c = Cloud.all()
        >>> # Initial call made for all Clouds
        >>> c
        >>> # Delay while each cloud object is dereferenced
        >>> c[0]
        {'status': 'ACTIVE', 'current_job': None, 'last_request': '<Response [200]>', 'name': 'Amazon Web Services', 'last_error': None, 'cloud_provider_name': 'Amazon', 'cloud_provider_console_url': 'http://aws.amazon.com', 'cloud_provider_logo_url': '/clouds/aws.gif', 'compute_endpoint': 'https://ec2.us-east-1.amazonaws.com,https://ec2.us-west-1.amazonaws.com,https://ec2.eu-west-1.amazonaws.com', 'compute_secret_key_label': 'AWS_SECRET_ACCESS_KEY', 'documentation_label': None, 'compute_delegate': 'org.dasein.cloud.aws.AWSCloud', 'path': 'geography/Cloud/1', 'compute_account_number_label': 'AWS_ACCOUNT_NUMBER', 'private_cloud': False}
        >>> type(c[0])
        mixcoatl.geography.cloud.Cloud
        >>> c[0].__class__.__name__
        'Cloud'
        
        Pretty-printing
        ---------------
        Every resource has a ``.pprint()`` function available which returns the prettyprinted object
        
        example:
        
        >>> from mixcoatl.geography.cloud import Cloud
        >>> c = Cloud(1)
        >>> c
        >>> c.pprint()
        >>> # pretty print representation
        
        Other notes
        -------------
        In general, most resources should support read-only access. If you know the id of an resource, you can simply request the resource by name with the id as a parameter:
        
        
        >>> from mixcoatl.infrastructure.server import Server
        >>> s = Server(12345)
        >>> s
        
        Importing resources generally follows the API directly i.e.:
        
        >>> from mixcoatl.scope.resource import ResourceName
        
        so for firewalls:
        
        >>> from mixcoatl.network.firewall import Firewall
        >>> f = Firewall(12345)
        >>> f
        
        for servers:
        
        
        >>> from mixcoatl.infrastucture.server import Server
        >>> s = Server(12345)
        >>> s
        
        For specific examples per resource, see the `wiki <https://github.com/enStratus/mixcoatl/wiki>`_ or the `documentation <http://enstratus.github.com/mixcoatl>`_
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
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
