superlint/.github/run-linter-locally.md
Lucas Gravley 88deab8ecd fix spaces
2020-01-10 08:16:10 -06:00

4.2 KiB

Run Super-Linter locally to test your branch of code

If you want to test locally against the Super-Linter to test your branch of code, you will need to complete the following:

  • Clone your testing source code to your local environment
  • Install Docker to your local environment
  • Pull the container down
  • Run the container
  • Debug/Troubleshoot

Install Docker to your local machine

You can follow the link below on how to install and configure Docker on your local machine

Download the latest Super-Linter Docker container

  • Pull the latest Docker container down from DockerHub
    • docker pull admiralawkbar/super-linter:latest Once the container has been downloaded to your local environment, you can then begin the process, or running the container against your codebase.

Run the container Locally

  • You can run the container locally with the following Base flags to run your code:
    • docker run -e RUN_LOCAL=true -v /path/to/local/codebase:/tmp/lint admiralawkbar/super-linter
      • To run against a single file you can use: docker run -e RUN_LOCAL=true -v /path/to/local/codebase/file:/tmp/lint/file admiralawkbar/super-linter
    • NOTE: You need to pass the RUN_LOCAL flag to bypass some of the GitHub Actions checks, as well as the mapping of your local codebase to /tmp/lint so that the linter can pick up the code
    • NOTE: The flag:RUN_LOCAL will set: VALIDATE_ALL_CODEBASE to true. This means it will scan all the files in the directory you have mapped. If you want to only validate a subset of your codebase, map a folder with only the files you wish to have linted
  • You can add as many Additional flags as needed:
    • VALIDATE_YAML
      • -e VALIDATE_YAML=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_JSON
      • -e VALIDATE_JSON=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_XML
      • -e VALIDATE_XML=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_MD
      • -e VALIDATE_MD=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_BASH
      • -e VALIDATE_BASH=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_PERL
      • -e VALIDATE_PERL=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_PYTHON
      • -e VALIDATE_PYTHON=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_RUBY
      • -e VALIDATE_RUBY=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_COFFEE
      • -e VALIDATE_COFFEE=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_ANSIBLE
      • -e VALIDATE_ANSIBLE=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_JAVASCRIPT
      • -e VALIDATE_JAVASCRIPT=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • VALIDATE_DOCKER
      • -e VALIDATE_DOCKER=<true|false>
      • Default: true
      • Flag to enable or disable the linting process of the language
    • ANSIBLE_DIRECTORY
      • -e ANSIBLE_DIRECTORY=</path/local/to/codebase/with/ansible>
      • Default: /ansible
      • Flag to set the root directory for Ansible file location(s)

Troubleshooting

Run container and gain access to the command line

If you need to run the container locally and gain access to its command line, you can run the following command:

  • docker run -it --entrypoint /bin/bash admiralawkbar/super-linter
  • This will drop you in the command line of the docker container for any testing or troubleshooting that may be needed.

Found issues

If you find a bug or issue, please open a GitHub issue at: https://github.com/github/super-linter/issues