Codacy Metrics Example Tool

Docker engine example for a codacy metrics tool

Documentation

How to integrate an external metrics tool on Codacy

By creating a docker and writing code to handle the tool invocation and output, you can integrate the tool of your choice on Codacy!

To know more about dockers, and how to write a docker file please refer to https://docs.docker.com/reference/builder/

In this tutorial, we explain how you can integrate a metrics tool of your choice in Codacy. You can check the code of an already implemented tool and if you wish fork it to start your own. You are free to modify and use it for your own tools.

Structure

• To run the tool we provide the configuration file, /.codacyrc, with the language to run and optional parameters your tool might need.
• The source code to be analysed will be located in /src, meaning that when provided in the configuration, the file paths are relative to /src.

Structure of .codacyrc file

• files: Files to be analysed (their path is relative to /src)
• language: Language to run the tool

Check the schema here.

{
  "files" : [ "foo/bar/baz.scala", "foo2/bar/baz.scala" ],
  "language": "Scala"
}

General tool behavior

Exit codes:

• The exit codes can be different, depending if the tool invocation is successful or not:
  • 0: The tool executed successfully 🎉
  • 1: An unknown error occurred while running the tool 😰
  • 2: Execution timeout ⏰

Environment variables:

• To run the tool in debug mode, so you can have more detailed logs, you need to set the environment variable DEBUG to true when invoking the docker.
• To configure a different timeout for the tool, you have to set the environment variable TIMEOUT_SECONDS when you run the docker image, setting it with values like 10 or 1800 (30 minutes).

Output

You are free to write the code running inside the docker in the language you prefer. After you have your results from the tool, you should print them to the standard output in our Result format (schema), one result per line. Example:

{
  "filename": "path/to/my/file1.scala",
  "complexity": 1,
  "loc": 300,
  "cloc": 320,
  "nrMethods": 20,
  "nrClasses": 2,
  "lineComplexities": [
    {
      "line": 2,
      "value": 3
    }
  ]
}

The filename should not include the prefix /src/, the absolute path /src/folder/file.js should be returned as folder/file.js.

Submit the Docker

Running the docker:

docker run -t \
--net=none \
--privileged=false \
--cap-drop=ALL \
--user=docker \
--rm=true \
-v <PATH-TO-FOLDER-WITH-FILES-TO-CHECK>:/src:ro \
-v <PATH-TO-CODACYRC>:/.codacyrc:ro \
<YOUR-DOCKER-NAME>:<YOUR-DOCKER-VERSION>

Docker restrictions:

• Docker image size should not exceed 500MB
• Docker should contain a non-root user named docker with UID/GID 2004
• All the source code of the docker must be public
• The docker base must officially be supported on DockerHub
• Your docker must be provided in a repository through a public git host (ex: GitHub, Bitbucket, ...)

Docker submission:

• To submit the docker you should send an email to [email protected] with the link to the git repository with your docker definition.
• The docker will then be subjected to a review by our team and we will then contact you with more details.

Test

Follow the instructions at codacy-plugins-test.

If you have any question or suggestion regarding this guide please contact us at [email protected].

What is Codacy

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.

Among Codacy’s features

• 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.

Free for Open Source

Codacy is free for Open Source projects.