This is the docker engine we use at Codacy to have CPPCheck support. You can also create a docker to integrate the tool and language of your choice! Check the Docs section for more information.
You can create the docker by doing:
docker build --no-cache -f Dockerfile.base -t codacy-cppcheck-base:latest .
docker build -t codacy-cppcheck .
The docker is ran with the following command:
docker run --rm -v $srcDir:/src -v $configFile:/.codacyrc codacy-cppcheck
- Update the
ARG toolVersion
inDockerfile
- Run the documentation generator:
docker build --no-cache -f Dockerfile.base -t codacy-cppcheck-base:latest .
sbt doc-generator/run
Tool Developer Guide - Using Scala
For a faster development loop you can create a Docker image based on the JVM instead of creating a native-image:
sbt stage
docker build --no-cache -f Dockerfile.base -t codacy-cppcheck-base:latest .
docker build -t codacy-cppcheck --target dev .
We use the codacy-plugins-test to test our external tools integration. You can follow the instructions there to make sure your tool is working as expected.
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.
Codacy is free for Open Source projects.