LasVegasCoder / codacy-codesniffer

Codacy tool for PHP Codesniffer

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Codacy PHP_CodeSniffer

This is the docker engine we use at Codacy to have PHP_CodeSniffer support. You can also create a docker to integrate the tool and language of your choice! See the codacy-engine-scala-seed repository for more information.

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Usage

You can create the docker by doing:

docker build -t codacy-codesniffer-base .
sbt docker:publishLocal

The docker is ran with the following command:

docker run -it -v $srcDir:/src  <DOCKER_NAME>:<DOCKER_VERSION>

Test

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.

Generating the documentation

Update the versions in composer.json and run:

sbt "runMain codacy.codesniffer.docsgen.GeneratorMain"

This will create updated patterns.json, description.json and the individual documentation Markdown files.

CodeSniffer configuration file

PHP CodeSniffer can be configured by adding a phpcs.xml file to the source code.

Currently, the tool supports this configuration file except from one feature - setting installed_paths: <config name="installed_paths" />

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.

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Codacy tool for PHP Codesniffer

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Languages

Language:Scala 56.2%Language:PHP 42.3%Language:Dockerfile 1.5%