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        "author": "Chris Spencer",
        "author_email": "chrisspen@gmail.com",
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        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: System Administrators",
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.7",
            "Topic :: Software Development",
            "Topic :: Software Development :: Build Tools",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules",
            "Topic :: System :: Software Distribution",
            "Topic :: System :: Systems Administration"
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        "description": "Burlap - configuration management designed for simplicity and speed\n===================================================================\n\n[![](https://img.shields.io/pypi/v/burlap.svg)](https://pypi.python.org/pypi/burlap)\n[![Pipeline Status](https://gitlab.com/chrisspen/burlap/badges/master/pipeline.svg)](https://gitlab.com/chrisspen/burlap/commits/master) \n[![](https://pyup.io/repos/gitlab/chrisspen/burlap/shield.svg)](https://pyup.io/repos/gitlab/chrisspen/burlap)\n\nOverview\n--------\n\nBurlap is a [configuration management](https://en.wikipedia.org/wiki/Comparison_of_open-source_configuration_management_software)\ntool and framework for deploying software to servers.\n\nIt's written in Python and is built ontop of [Fabric](http://www.fabfile.org/) to run commands remotely over SSH.\n\nUnlike [Chef](https://www.chef.io/) or [Ansible](http://www.ansible.com/) that target large \"web-scale\" platforms at the expense of great complexity, Burlap targets small- to medium-scale platforms and keeps its configuration simple.\n\nMuch of the code is also heavily influenced by [Fabtools](https://github.com/fabtools/fabtools), another Fabric-based toolkit.\n\nPython 2.7 is supported through version 0.9.54.\n\nInstallation\n------------\n\nInstall the package via pip with:\n\n    pip install burlap\n\nQuickstart & Usage\n------------------\n\nBasic call format:\n\n    fab <role> <task>\n\nA task is a Fabric command which can perform an arbitrary operation.\n\nA role is a special type of task that defines the servers that the following tasks should apply to.\n\nA role is defined in a top-level directory called 'roles', where every sub-directory represents the name of a role.\n\nThe file `settings.yaml` inside this directory defines all the settings for this role.\n\nTo create a base Burlap skeleton project with sample roles, run `burlap-admin.py skel myproject`.\n\nThere can be an arbitrary number of tasks called:\n\n    fab staging rabbitmq.configure cron.configure apache.configure service.post_deploy\n\nTasks are organized in classes called Satchels. This allows them to share state and have a more organized naming scheme.\n\nFor example, all the tasks relating to Apache are in the Apache satchel, so to stop, deploy your Apache configuration, and then restart the staging server, you would do:\n\n    fab staging apache.stop apache.configure apache.restart\n\nHowever, it gets even simpler than this. If you add `apache` to the `services` list inside `roles/staging/settings.yaml`, then Burlap will track changes and automatically deploy them when you run:\n\n    fab staging deploy.push\n\nEach satchel defines how its changes are tracked, which are reported in the form of a manifest.\n\nBurlap retrieves this manifest for each satchel before and after the deployment, and calculates the difference to determine which satchels have outstanding changes with need to be deployed.\n\nSatchels can define dependencies, telling Burlap to run certain tasks in a specific order.\n\nFor example, a Django project hosted on Apache would require the Apache configuration to be deployed before any Django project code.\n\nThis allows a role to contain an arbitrary number of satchels, whose deployment can be calculated automatically.\n\nHowever, this auto-deployer can't foresee all use cases, and should exceptions arise, you can reset Burlap's last manifest, implicitly telling it that, \"Everything that needs to be deployed has been deployed\", but running:\n\n    fab <role> deploy.fake\n\nVirtually all Burlap tasks support a `dryrun` parameter, which, when set, will only output the command without applying any substantial changes to the server. It's activated like:\n\n    fab <role> some_task:dryrun=1\n\nMost Burlap tasks also support a `verbose` parameter, which will activate additional debugging info as defined by each satchel. It's activated like:\n\n    fab <role> some_task:verbose=1\n\nNearly all of Burlap's built-in tasks run Bash commands behind the scenes. Therefore, by activating dryrun mode and hiding all superfluous output except the generated Bash commands,\nit's possible to convert a Burlap call to a Bash script. To do this, set the environment variable `BURLAP_COMMAND_PREFIX=1`, activate dryrun, and capture the output to a file. e.g.\n\n    export BURLAP_COMMAND_PREFIX=1; fab staging some_task:dryrun=1 > myscript.sh\n\nTo run all tests:\n\n    tox -c tox-full.ini\n    \nTo run all tests on a specific environment:\n\n    tox -c tox-full.ini -e py37-ubuntu_18_04_64\n\nTo run a specific test in a specific environment:\n\n    tox -c tox-full.ini -e py37-ubuntu_18_04_64 -- -s burlap/tests/functional_tests/test_md5.py::Md5Tests",
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