This adds 4 example files to the local README to do a shared env file. This is much simpler then adding support directly that I tried in PR #3270. Fixes: #2851
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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 github/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 -e USE_FIND_ALGORITHM=true -v /path/to/local/codebase:/tmp/lint github/super-linter
- To run against a single file you can use:
docker run -e RUN_LOCAL=true -e USE_FIND_ALGORITHM=true -v /path/to/local/codebase/file:/tmp/lint/file github/super-linter
- To run against a single file you can use:
- 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: If you want to override the
/tmp/lint
folder, you can set theDEFAULT_WORKSPACE
environment variable to point to the folder you'd prefer to scan. - 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 - NOTE: Add the
--rm
docker flag to automatically remove the container after execution.
Flags for running Locally
You can add as many Additional flags as needed, documented in README.md
Sharing Environment variables between Local and CI
If you run both locally and on CI it's very helpful to only have to define your env variables once. This is one setup using Github's STRTA style to do so.
.github/super-linter.env
This is the shared location for the super-linter variables. Example:
VALIDATE_ALL_CODEBASE=true
VALIDATE_DOCKERFILE_HADOLINT=false
VALIDATE_EDITORCONFIG=false
VALIDATE_GITLEAKS=false
scripts/lint
This always runs the local docker based linting.
docker run --rm \
-e RUN_LOCAL=true \
--env-file ".github/super-linter.env" \
-v "$PWD":/tmp/lint github/super-linter:v4
scripts/test
This runs the local lint when not on CI.
if [ "$(whoami)" == "runner" ]; then
echo "We are on GitHub, so don't run lint manually"
else
echo "Running locally because we don't think we are on GitHub"
lint_ci
fi
.github/workflows/ci.yml
This loads the environment variables before running the GitHub Actions job.
name: CI
on:
pull_request:
jobs:
lint:
# Run GH Super-Linter against code base
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- run: cat .github/super-linter.env >> "$GITHUB_ENV"
- name: Lint Code Base
uses: github/super-linter@v4
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
DEFAULT_BRANCH: develop
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 github/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: github/super-linter/issues