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"description": "HOKUSAI [](https://circleci.com/gh/artsy/hokusai/tree/master)\n-------\n\n![](\"hokusai.jpg\")
\n\nHokusai is a Docker + Kubernetes CLI for application developers.\n\nHokusai \"dockerizes\" applications and manages their lifecycle throughout development, testing, and release cycles.\n\nHokusai wraps calls to [kubectl](https://kubernetes.io/), [docker](https://www.docker.com/), [docker-compose](https://docs.docker.com/compose/) and [git](https://git-scm.com/) with a CLI, and defines a CI workflow.\n\nHokusai currently only supports Kubernetes deployments on AWS, configured to pull from ECS container repositories (ECR), although other providers may be added in the future.\n\n### Why Hokusai?\n\nAt [Artsy](http://www.artsy.net), as we began working with Kubernetes, while impressed with its design, capabilities, and flexibility, we were in need of tooling we could deliver to agile development teams that addressed the day-to-day tasks of application development, delivery, introspection and maintenance, while providing a clean and uncomplicated interface.\n\nTransitioning teams to the Docker / Kubernetes ecosystem can be intimidating, and comes with a steep learning curve. We set out to create a Heroku-like CLI that would shepherd the application developer into the ecosystems of Docker and Kubernetes, and while introducing new tooling and concepts, outlining a clear practice for dependency management, local development, testing and CI, image repository structure, deployment and orchestration.\n\n\n## Requirements\n\n1) [Python 2.x](https://www.python.org/downloads/) and [pip](https://pip.pypa.io/en/stable/installing/)\n\n2) [Docker](https://docs.docker.com/)\n\nIf you use homebrew on OSX, install Docker for Mac with: `brew tap caskroom/cask && brew cask install docker`\n\n3) [Docker Compose](https://docs.docker.com/compose/)\n\nIf you installed Docker for Mac, `docker-compose` is also installed. Otherwise install with: `pip install docker-compose`.\n\n4) [Git](https://git-scm.com/)\n\n\n## Installation\n\nIf you're on OSX, the preferred installation method is via homebrew:\n\n```\n$ brew tap artsy/formulas\n$ brew install hokusai\n```\n\nIf you've previously installed hokusai via an alternate installation method, you may need to force the `link` step. If you installed hokusai via pip, you may also want to cleanup that installation:\n\n```\n$ pip uninstall hokusai\n$ brew link --overwrite hokusai\n```\n\n### Alternate Installation Methods\n\n#### Via pip\n\nNote: If installing via pip fails due to pip failing to upgrade your system Python packages, try running `pip install hokusai --ignore-installed`.\n\n#### Via curl\n\nNote: You may need to adjust the target desination to match a directory in your `$PATH`.\n\n```\ncurl --silent https://artsy-provisioning-public.s3.amazonaws.com/hokusai/hokusai-latest-$(uname -s)-$(uname -m) -o /usr/local/bin/hokusai && chmod +x /usr/local/bin/hokusai\n```\n\n## Setup\n\n1. [Configure your AWS credentials](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/configuration.html#configuring-credentials).\n1. Run `hokusai configure --kubectl-version --s3-bucket --s3-key `. You'll need to provide the kubectl version matching your Kubernetes deployments, as well as the S3 bucket name and key of your org's kubectl config file. System administrators: see [Administering Hokusai](./docs/Administering_Hokusai.md) for instructions on preparing AWS, Kubernetes, and publishing a kubectl config file. Artsy devs: see [these artsy/README docs](https://github.com/artsy/README/blob/master/playbooks/hokusai.md) for the current way to install and configure hokusai.\n\nTo enable bash autocompletion: `eval \"$(_HOKUSAI_COMPLETE=source hokusai)\"`\n\n\n## Getting Started\n\nSee [Getting Started.md](./docs/Getting_Started.md) to start using Hokusai for your project.\n\n\n## Command Reference\n\nA full command reference can be found in [Command Reference.md](./docs/Command_Reference.md).\n\n## Developing Hokusai\n\nTo work on Hokusai itself, set up your local development environment like so:\n\n- As above, install `python`, `pip`, `docker`, `docker-compose` and `git`.\n\nTo install the Hokusai package in \"editable mode\" from a checkout of this repository, you can run `pip install -e .` This works well in combination with [Virtualenv/Virtualenvwrapper](https://virtualenvwrapper.readthedocs.io/en/latest/) as you can install the project in editable mode within a virtualenv, and from a release in your default system environment.\n\n## Testing Hokusai\n\nInstall dependencies: `pip install -r requirements.txt`.\n\nAll tests can be run with `python -m unittest discover test`.\n\nOnly run unit tests: `python -m unittest discover test.unit`\nOnly run integration tests: `python -m unittest discover test.integration`\n\nTests for specific modules, TestClasses, or even methods can be run with `python -m unittest test.unit.test_module.TestClass.test_method`\n\nSet the `DEBUG=1` environment variable to print boto logging\n\n## Review Apps\n\nHokusai can be used to simplify the process of spinning up a \"review app\" instance of your project, based on a feature branch or pull request.\n\nFull details are in the [Review App reference](./docs/Review_Apps.md).\n\n## Distributing Hokusai\n\nMerges to master automatically distribute Pyinstaller versions for beta testing at https://artsy-provisioning-public.s3.amazonaws.com/hokusai/hokusai-head-Darwin-x86_64 and https://artsy-provisioning-public.s3.amazonaws.com/hokusai/hokusai-head-Linux-x86_64 respectively.\n\nTo create a new release, bump the version by editing the `./hokusai VERSION` file, create an entry in CHANGELOG.md and open a PR from `master` to the `release` branch of this repo.\n\n## The Name\n\nThe project is named for the great Japanese artist [Katsushika Hokusai](https://www.artsy.net/article/artsy-editorial-7-things-hokusai-creator-great-wave) (1760-1849).\n\n\n",
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