Tooling & Docker Definition for running Ameba on Codacy
Implements the Tool Developer Guide
Build the docker image
docker build -t codacy-ameba .
Run on a project
docker run --rm -v $srcDir:/src codacy-ameba
Regenerate docs
folder:
shards install
crystal src/generate.cr
Run regular unit tests: crystal spec
Run Codacy Plugin Tests against the docker image:
docker build -t codacy-ameba .
codacy-plugins-test pattern codacy-ameba
codacy-plugins-test json codacy-ameba
codacy-plugins-test multiple codacy-ameba
- Crystal version should be updated in
Dockerfile
file (version of the image). - Ameba version should be updated in
shard.yml
/shard.lock
files.
Codacy is an Automated Code Review Tool that monitors your technical debt, helps you improve your code quality, teaches best practices to your developers, and helps you save time in Code Reviews.
- Identify new Static Analysis issues
- Commit and Pull Request Analysis with GitHub, BitBucket/Stash, GitLab (and also direct git repositories)
- Auto-comments on Commits and Pull Requests
- Integrations with Slack, HipChat, Jira, YouTrack
- Track issues in Code Style, Security, Error Proneness, Performance, Unused Code and other categories
Codacy also helps keep track of Code Coverage, Code Duplication, and Code Complexity.
Codacy supports PHP, Python, Ruby, Java, JavaScript, and Scala, among others.
- Fork it (https://github.com/codacy/codacy-ameba/fork)
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
- Vitalii Elenhaupt - creator and maintainer
- Sija Sijawusz Pur Rahnama - contributor and maintainer