{
    "info": {
        "author": "German Gomez-Herrero",
        "author_email": "german@findhotel.net",
        "bugtrack_url": null,
        "classifiers": [
            "Programming Language :: Python :: 2",
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        "description": "humilis\n=======\n\n|Build Status| |PyPI|\n\nHelps you deploy AWS infrastructure with\n`Cloudformation <https://aws.amazon.com/cloudformation/>`__.\n\nThis project is originally based on the\n`cumulus <https://github.com/cotdsa/cumulus>`__ project. See\n`CUMULUS_LICENSE <https://github.com/humilis/humilis/blob/master/CUMULUS_LICENSE>`__\nfor license information.\n\nInstallation\n============\n\nInstall the `AWS CLI <https://aws.amazon.com/cli/>`__:\n\n::\n\n   pip install awscli\n\nConfigure the AWS CLI:\n\n::\n\n   aws configure\n\n``humilis`` will use whatever credentials you introduced when\nconfiguring your AWS CLI installation.\n\nYou can now install the latest \u201cstable\u201d version of ``humilis``:\n\n::\n\n   pip install humilis\n\nor the development version if you prefer that:\n\n::\n\n   pip install git+https://github.com/humilis/humilis\n\nAfter installation you need to configure humilis. To configure globally\nfor your system:\n\n::\n\n   humilis configure\n\nThe command above will store and read the configuration options from\n``~/.humilis.ini``. You can also store the configuration in a\n``.humilis.ini`` file stored in your current working directory by using:\n\n::\n\n   humilis configure --local\n\n``humilis`` will always read the configuration first from a\n``.humilis.ini`` file under your current work directory. If it is not\nfound then it will read it from your system global config file\n``~/.humilis``.\n\nDevelopment environment\n=======================\n\nAssuming you have\n`virtualenv <https://virtualenv.readthedocs.org/en/latest/>`__\ninstalled:\n\n::\n\n   make develop\n\n   . .env/bin/activate\n\nTesting\n=======\n\nAt the moment, most tests are integration tests with the AWS SDK. This\nmeans that you will need to `set up your\nsystem <http://docs.aws.amazon.com/cli/latest/userguide/cli-chap-getting-started.html>`__\nto access AWS resources if you want to run the test suite.\n\n::\n\n   py.test tests\n\nQuickstart\n==========\n\nDefine your infrastructure environment following the examples in the\n`examples\ndirectory <https://github.com/humilis/humilis/tree/master/examples>`__.\nThen to create the environment:\n\n::\n\n   humilis create examples/humilis-firehose.yaml\n\nTo update the environment after it has been deployed:\n\n::\n\n   humilis update examples/humilis-firehose.yaml\n\nAnd to delete it:\n\n::\n\n   humilis delete examples/humilis-firehose.yaml\n\nHumilis environments\n====================\n\nA ``humilis`` environment is just a collection of cloudformation stacks\nthat are required for an application. Instead of having a monolytic CF\ntemplate for your complete application, ``humilis`` allows you to define\ninfrastructure *layers* that are combined into an *environment*. Each\n``humilis`` layer translates exactly into one CF template (therefore\ninto one CF stack after the layer is deployed).\n\nBreaking a complex infrastructure environment into smaller layers has at\nleast two obvious advantages:\n\n-  **Easier to maintain**. It\u2019s easier to maintain a simple layer that\n   contains just a bunch of `CF\n   resources <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-template-resource-type-ref.html>`__\n   than serve a well-defined purpose.\n\n-  **Easier to reuse**. You should strive to define your infrastructure\n   layers in such a way that you can reuse them across various\n   environments. For instance, many projects may require a base layer\n   that defines a VPC, a few subnets, a gateway and some routing tables,\n   and maybe a (managed) NAT. You can define a humilis layer with those\n   resources and have a set of layer parameters (e.g.\u00a0the VPC CIDR) that\n   will allow you to easily reuse it across environments.\n\nEnvironment anatomy\n-------------------\n\nAn environment *definition file* is a\n`yaml <https://en.wikipedia.org/wiki/YAML>`__ document that specifies\nthe list of layers that form your enviroment. The file should be named\nas your environment. That is, for environment ``my-app-environment`` the\nenvironment description file should be called\n``my-app-environment.yaml``. The contents of the environment definition\nshould be organized as follows:\n\n::\n\n   ---\n   my-app-environment:\n       description:\n           A description of what this environment is for\n       layers:\n           # The layers that you environment requires. They will be deployed in the\n           # same order as you list them. Note that you can also pass parameters \n           # to a layer (more on that later).\n           - {layer: name_of_first_layer, layer_param: layer_value}\n           - {layer: name_of_second_layer}\n           - {layer: name_of_third_layer}\n\nLayer anatomy\n-------------\n\nAnything associated to a given layer must be stored in a directory with\nthe same name as the layer, within the same directory where the\nenvironment *definition file* is located. If we consider the\n``my-app-environment`` environment we used above then your directory\ntree should look like this:\n\n::\n\n   .\n   \u251c\u2500\u2500 my-app-environment.yaml\n   \u251c\u2500\u2500 name_of_first_layer\n   \u2502\u00a0\u00a0 \u251c\u2500\u2500 meta.yaml\n   \u2502\u00a0\u00a0 \u2514\u2500\u2500 resources.yaml\n   \u251c\u2500\u2500 name_of_second_layer\n   \u2502\u00a0\u00a0 \u251c\u2500\u2500 meta.json\n   \u2502\u00a0\u00a0 \u2514\u2500\u2500 meta.yaml\n   \u2514\u2500\u2500 name_of_third_layer\n       \u251c\u2500\u2500 resources.json.j2\n       \u2514\u2500\u2500 resources.yaml.j2\n\nA layer must contain at least two files:\n\n-  ``meta.yaml``: Meta information about the layer such as a\n   description, and layer parameters.\n-  ``resources.yaml``: Basically a CF template with the resources that\n   the layer contains.\n\nThose two files can also be in ``.json`` format (``meta.json`` and\n``resources.json``). Or you can add the extension ``.j2`` if you want\nthe files to be pre-processed with the\n`Jinja2 <http://jinja.pocoo.org/>`__ template compiler.\n\nBelow an example of how a layer ``meta.yaml`` may look like:\n\n::\n\n   ---\n   meta:\n       description:\n           Creates a VPC, that's it\n       parameters:\n           vpc_cidr:\n               description: The CIDR block of the VPC\n               value: 10.0.0.0/16\n\nAbove we declare only one layer parameter: ``vpc_cidr``. ``humilis``\nwill make pass that parameter to Jinja2 when compiling any template\ncontained in the layer. So the ``resources.yaml.j2`` for that same layer\nmay look like this:\n\n::\n\n   ---\n   resources:\n       VPC:\n           Type: \"AWS::EC2::VPC\"\n           Properties:\n               CidrBlock: {{ vpc_cidr }}\n\nReferences\n==========\n\nYou can use references in your ``meta.yaml`` files to refer to thing\nother than resources within the same layer (to refer to resources within\na layer you can simply use Cloudformation\u2019s\n`Ref <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-ref.html>`__\nor\n`GetAtt <http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-getatt.html>`__\nfunctions). Humilis references are used by setting the value of a layer\nparameter to a dict that has a ``ref`` key. Below an a ``meta.yaml``\nthat refers to a resource (with a logical name ``VPC``) that is\ncontained in another layer (called ``vpc_layer``):\n\n::\n\n   ---\n   meta:\n       description:\n           Creates an EC2 instance in the vpc created by the vpc layer\n       dependencies:\n           - vpc\n       parameters:\n           vpc:\n               description: Physical ID of the VPC where the instance will be created\n               value:\n                   ref: \n                       parser: layer\n                       parameters:\n                           layer_name: vpc_layer\n                           resource_name: VPC\n\nEvery reference must have a ``parser`` key that identifies the parser\nthat should be used to parse the reference. There are also two optional\nkeys:\n\n-  ``parameters``: allows you to pass parameters to the reference\n   parser. You can pass either named parameters (as a dict) or\n   positional arguments (as a list).\n\n-  ``priority``: the parsing priority. Parameters with a lower value in\n   ``priority`` will be parsed before parameters with a higher value.\n   This allows some reference parsers to refer internally to other\n   parameters within the same layer. For example, the ``lambda`` parser,\n   when parsing templated lambda code, it uses previously parsed layer\n   parameters as template parameters.\n\nMore information on the reference parsers that are bundled with humilis\nbelow.\n\nAvailable reference parsers\n---------------------------\n\n``layer_resource`` references\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n``layer_resource`` references allow you to refer to the physical ID of a\nresource that is part of another layer.\n\n**Parameters**:\n\n-  ``layer_name``: The name of the layer you are referring to\n-  ``resource_name``: The logical name of the layer resource\n\n**Example**:\n\nConsider the following environment definition:\n\n::\n\n   ---\n   my-environment:\n       description:\n           Creates a VPC with a NAT in the public subnet\n       layers:\n           - {layer: vpc}\n           - {layer: nat}\n\nObviously the ``nat`` layer that takes care of deploying the NAT in the\npublic subnet will need to know the physical ID of that subnet. You\nachieve this by declaring a ``layer_resource`` reference in the\n``meta.yaml`` for the ``nat`` layer:\n\n::\n\n   ---\n   meta:\n       description:\n           Creates a managed NAT in the public subnet of the NAT layer\n       parameters:\n           subnet_id:\n               description:\n                   The physical ID of the subnet where the NAT will be placed\n               value:\n                   ref:\n                       parser: layer_resource\n                       parameters:\n                           layer_name: vpc\n                           # The logical name of the subnet in the vpc layer\n                           resource_name: PublicSubnet\n\nWhen parsing ``meta.yaml`` humilis will replace this:\n\n::\n\n   ref:\n       parser: layer_resource\n       parameters:\n           layer_name: vpc\n           # The logical name of the subnet in the vpc layer\n           resource_name: PublicSubnet\n\nwith the physical ID you need (something like ``subnet-bafa90cd``). You\ncan then use this physical ID in the ``resources.yaml.j2`` section of\nthe ``nat`` layer:\n\n::\n\n   {# Pseudo-content of layers/nat/resources.yaml.j2 #}\n   resources:\n       {# An Elastic IP reservation that will be associated to the NAT #}\n       NatEip:\n         Type: 'AWS::EC2::EIP'\n         Properties: {}\n       {# Custom resource deploying the NAT #}\n       NatGateway:\n         Type: 'Custom::NatGateway',\n         Properties:\n           {# The ARN of the Lambda function backing the custom resource #}\n           ServiceToken: 'arn:aws:lambda:eu-west-1:XXXX:function:CreateNatGateway'\n           {# Here we use the subnet_id reference defined in meta.yaml #}\n           SubnetId: {{subnet_id}}\n           AllocationId:\n               Ref: NatEip\n\n``environment_resource`` references\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n``environment_output`` references allow you to refer to resources that\nbelong to other humilis environments.\n\n**Parameters**:\n\n-  ``environment_name``: The name of the environment you are referring\n   to\n-  ``layer_name``: The name of the layer you are referring to\n-  ``resource_name``: The logical name of the layer resource\n\n``layer_output`` references\n~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n``layer_output`` references allow you to refer to outputs produced by\nanother layer.\n\n**Parameters**:\n\n-  ``layer_name``: The name of the layer you are referring to\n-  ``output_name``: The logical name of the output parameter\n\nIn general you should prefer using ``layer_output`` references over\n``layer_resource`` references. The output parameters produced by a layer\ndefine an informal *layer interface* that is more likely to remain\nconstant than the logical names of resources within a layer.\n\n``boto3`` references\n~~~~~~~~~~~~~~~~~~~~\n\n``boto3`` references define arbitrary calls to\n`boto3facade <https://github.com/InnovativeTravel/boto3facade>`__. The\nlatter is just a simpler facade interface on top of\n`boto3 <https://github.com/boto/boto3>`__.\n\n**Parameters**:\n\n-  ``service``: The AWS service, e.g.\u00a0\\ ``ec2`` or ``cloudformation``.\n   Note that only only AWS services that have a facade in\n   `boto3facade <https://github.com/InnovativeTravel/boto3facade>`__ are\n   supported.\n-  ``call``: The corresponding facade method,\n   e.g.\u00a0\\ ``get_ami_by_name``. The value of this parameter must be a\n   dictionary with a ``method`` key (the name of the facade method to\n   invoke) and an optional ``args`` key (the parameters to pass to the\n   facade method). Best to look at the example below to understand how\n   this works.\n-  ``output_attribute``: Optional. If provided the reference parser will\n   return the value of this attribute from the object returned by the\n   facade method.\n\nBelow an example of a layer that uses a ``boto3`` reference:\n\n::\n\n   ---\n   meta:\n       description:\n           Creates an EC2 instance using a named AMI\n       # More stuff omitted for brevity\n       ami:\n           description: The AMI to use when launching the EC2 instance\n           value:\n               ref:\n                   parser: boto3\n                   parameters:\n                       service: ec2\n                       call:\n                           method: get_ami_by_name\n                           args:\n                               - test-ami\n                       output_attribute: id\n\n``humilis`` will parse the reference using this code:\n\n::\n\n   # Import the Ec2 facade\n   from boto3facade.ec2 import Ec2\n\n   # Create a facade object\n   ec2_facade = Ec2()\n\n   # Make the call\n   ami = ec2_facade.get_ami_by_name('test-ami')\n\n   # Extract the requested attribute\n   ref_value = ami.id\n\n``file`` references\n~~~~~~~~~~~~~~~~~~~\n\n``file`` references allow you to refer to a local file. The file will be\nuploaded to S3 and the reference will evaluate to the corresponding S3\npath.\n\n**Parameters**:\n\n-  ``path``: The path to the file, relative to the layer root directory.\n\n``lambda`` references\n~~~~~~~~~~~~~~~~~~~~~\n\n``lambda`` references allow you to refer to some Python code in your\nlocal machine. If your code follows some simple conventions ``humilis``\nwill take care of building a `deployment\npackage <http://docs.aws.amazon.com/lambda/latest/dg/lambda-python-how-to-create-deployment-package.html>`__\nfor you, uploading it to S3, and the reference will evaluate to the S3\npath of the deployment package.\n\n**Parameters**:\n\n-  ``path``: Path to either a completely self-contained ``.py`` file, or\n   to the root directory of your lambda code. In the latter case your\n   code needs to follow some simple conventions for this to work. More\n   information below.\n\n-  ``dependencies``: A list of dependencies to be included in the Lambda\n   deployment package. Dependencies may be either pip installable\n   packages, or paths to local Python packages or modules, or paths to\n   local ``requirements`` files.\n\n**Example**:\n\n::\n\n   ref:\n       parser: lambda\n       parameters:\n           # Path to the root directory containing your lambda code\n           path: dummy_function\n           dependencies:\n               # The Lambda code requires Pypi's pyyaml\n               - pyyaml\n               # It also requires a local package in this path\n               - mycode/mypkgdir\n               # And this local module\n               - mycode/mymodule.py\n\nwhich will evaluate to a S3 path such as:\n\n::\n\n   s3://[bucket_name]/[environment_name]/[stage_name]/[func_name]-[commithash].zip\n\n**Code conventions**:\n\nFollowing the example above, the contents of the layer responsible of\ndeploying the ``dummy_function`` lambda may look like this:\n\n::\n\n   .\n   \u251c\u2500\u2500 dummy_function\n   \u2502\u00a0\u00a0 \u251c\u2500\u2500 dummy_function.py\n   \u2502\u00a0\u00a0 \u2514\u2500\u2500 setup.py\n   \u251c\u2500\u2500 meta.yaml\n   \u251c\u2500\u2500 outputs.yaml.j2\n   \u2514\u2500\u2500 resources.yaml.j2\n\nBasically all your code needs to be included under directory\n``dummy_function``. In this case there is only one file:\n``dummy_function.py``. External dependencies need to be specified in\nyour ``setup.py``.\n\n``secret`` references\n~~~~~~~~~~~~~~~~~~~~~\n\n``secret`` references retrieve a secret using Python\u2019s\n`keyring <https://pypi.python.org/pypi/keyring>`__ module.\n\n**Parameters**:\n\n-  ``service``: The name of the service the secret is associated to.\n\n-  ``key``: The key (e.g.\u00a0the username) that identifies the secret.\n\n**Example**:\n\n::\n\n   ref:\n       parser: secret\n       parameters: {\"service\": \"mysqldb\", \"key\": \"adminuser\"}\n\nCustom Jinja2 filters\n---------------------\n\nHumilis defines the following `custom Jinja2\nfilters <http://jinja.pocoo.org/docs/dev/templates/#filters>`__:\n\n-  ``uuid``: A random UUID. Example: ``{{''|uuid}}``.\n-  ``password(length=8)``: A random password. Example:\n   ``{{10|password}}``.\n\n.. |Build Status| image:: https://travis-ci.org/humilis/humilis.svg?branch=master\n   :target: https://travis-ci.org/humilis/humilis\n.. |PyPI| image:: https://img.shields.io/pypi/v/humilis.svg?style=flat\n   :target: https://pypi.python.org/pypi/humilis",
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