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        "author": "Matthias Erll",
        "author_email": "matthias@erll.de",
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            "Development Status :: 5 - Production/Stable",
            "Environment :: Web Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Software Distribution"
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It can be used standalone for custom\norchestration or for enhancing available deployment / remote execution\nutilities (see\n`Docker-Fabric <https://github.com/merll/docker-fabric>`__, `Salt\nContainer-Map <https://github.com/merll/salt-container-map>`__).\n\nContainers and their dependencies are configured object-based, through\nPython dictionaries, or YAML files.\n\nBuilding images\n===============\n\nWriting Dockerfiles is not hard. However, it only allows for using\nvariable context to a limited extent. For example, you may want to\nre-define directory paths in your project, without having to adjust it\nin multiple places; or you keep frequently reoccurring tasks\n(e.g.\u00a0creating system user accounts) in your Dockerfile, and would like\nto use templates rather than copy & paste.\n\nDockerfiles\n-----------\n\nA ``DockerFile`` object generates a Dockerfile, that can either be saved\nlocally or sent off to Docker through the remote API. Supports common\ncommands such as ``addfile`` (``ADD``) or ``run``, but also formats\n``CMD`` and ``ENTRYPOINT`` appropriately for running a shell or exec\ncommand.\n\nDocker file context\n-------------------\n\n``DockerContext`` generates a Docker context tarball, that can be sent\nto the remote API. Its main purpose is to add files from ``DockerFile``\nautomatically, so that the Dockerfile and the context tarball are\nconsistent.\n\nCreating, connecting, and running containers\n============================================\n\nThis package reduces repetitions of names and paths in API commands, by\nintroducing the following main features:\n\n-  Automatically create, configure, and assign shared volumes.\n-  Automatically update containers if their shared volumes are\n   inconsistent, their image, or their configuration has been updated.\n-  Use alias names instead of paths to bind host volumes to container\n   shares.\n-  Automatically create and start containers when their dependent\n   containers are started.\n\nContainer configuration\n-----------------------\n\n``ContainerConfiguration`` objects keep the elements of a configured\ncontainer. Their main elements are:\n\n-  ``image``: Docker image to base the container on (default is\n   identical to container name).\n-  ``clients``: Optional list of clients to run the identical container\n   configuration on.\n-  ``instances``: Can generate multiple instances of a container with\n   varying host mappings; by default there is one main instance of each\n   container.\n-  ``shares``: Volumes that are simply shared by the container, only for\n   the purpose of keeping data separate from the container instance, or\n   for linking the entire container to another.\n-  ``binds``: Host volume mappings. Uses alias names instead of\n   directory paths.\n-  ``uses``: Can be names of other containers, or volumes shared by\n   another volume through ``attaches``. Has the same effect as the\n   ``volumes_from`` argument in the API, but using alias names and\n   automatically resolving these to paths.\n-  ``links``: For container linking. Container names are translated to\n   instance name on the map.\n-  ``attaches``: Generates a separate container for the purpose of\n   sharing data with another one, assigns file system permissions as set\n   in ``permissions`` and ``user``. This makes configuration of sockets\n   very easy.\n-  ``exposes``: Configures port bindings for linked containers and on\n   host interfaces.\n-  ``exec_commands``: Launches commands on containers after they have\n   been created and started.\n-  ``create_options`` and ``host_config`` provide the possibility to add\n   further keyword arguments such as ``command`` or ``entrypoint``,\n   which are passed through to the ``docker-py`` client.\n\nContainer maps\n--------------\n\n``ContainerMap`` objects contain three sets of elements:\n\n1. Container names, each associated with a ``ContainerConfiguration``.\n2. Volumes, mapping shared directory paths to alias names.\n3. 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For example, the\n``interfaces`` property translates the ``exposes`` setting for a\nconfiguration on each host into a port binding argument with the local\naddress.\n\nCombining the elements\n----------------------\n\n``MappingDockerClient`` applies one or multiple ``ContainerMap``\ninstances to one or multiple Docker clients. A container on the map can\neasily be created with all its dependencies by running\n``client.create('container_name')``.\n\nRunning the container can be as easy as\n``client.start('container_name')`` or can be enhanced with custom\nparameters such as ``client.start('container_name', expose={80: 80})``.\n\nIf all configuration is stored on the map, creation and start are\ncombined in ``client.startup('container_name')``.\n",
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