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Bitbucket Pipeline

To use DCM with Bitbucket CI/CD, create a bitbucket-pipelines.yaml file in the root of your application (or use Bitbucket pipeline in the dashboard) and add a step that runs DCM commands.

Here’s how you can set up a pipeline configuration for Bitbucket:

image: dart:stable

pipelines:
  branches:
    main:
      - step:
          name: Code Quality
          script:
            - apt-get update && apt-get install -y --no-install-recommends wget gnupg2
            - wget -qO- https://dcm.dev/pgp-key.public | gpg --dearmor -o /usr/share/keyrings/dcm.gpg
            - echo 'deb [signed-by=/usr/share/keyrings/dcm.gpg arch=amd64] https://dcm.dev/debian stable main' | tee /etc/apt/sources.list.d/dart_stable.list
            - apt-get update
            - apt-get install -y dcm=1.27.1-1  # Adjust DCM version as needed
            - dcm run --analyze --unused-code --reporter=checkstyle lib > checkstyle-result.xml # DCM_CI_KEY and DCM_EMAIL retrieved from ENV automatically
          after-script:
            - pipe: atlassian/checkstyle-report:0.4.0     

1. Image: Specifies the Docker image to use for running the pipeline. Here, dart:stable is used.

2. Pipelines: Defines the pipeline configuration. In Bitbucket Pipelines, you organize jobs under specific triggers (branches in this case).

3. Branch Configuration: Under branches, you specify which branch triggers this pipeline configuration (main branch in this example).

4. Steps:

   • Each step represents a job within the pipeline.
   • Step Name: Describes the job purpose (DCM Analysis).
   • Script:
     • Installs necessary packages (wget, gnupg2) required for setting up DCM.
     • Downloads DCM's GPG key and adds the repository configuration.
     • Updates package lists and installs DCM using apt-get install.
     • Runs dcm analyze or dcm run with the provided DCM_CI_KEY and DCM_EMAIL parameters to perform static code analysis on the lib directory. Note that you don't need to pass DCM_CI_KEY and DCM_EMAIL if they are available in ENV variables. DCM can automatically detect and retrieve them from Env variables.
     • Pipe and create xml file for atlassian/checkstyle-report to analyze and report in PR.

note

To learn more about bitbucket-pipelines.yaml format, refer to Bitbucket documentation.

The docs for the Checkstyle integration can be found here.

Here is the pipeline result in BitBucket console:

Here is the pipeline result in BitBucket PR:

• Environment Variables: Replace $DCM_CI_KEY and $DCM_EMAIL with actual values or Bitbucket environment variables.

• Security: Handle sensitive information securely using Bitbucket’s environment variables or secret management features.

• Customization: Adjust the DCM version (1.27.1-1 in this example) according to your project's requirements.

Setting Environment Variables in Bitbucket

Bitbucket allows you to set environment variables directly in the repository settings or through the pipeline configuration UI:

1. Repository Settings: Navigate to your Bitbucket repository, go to Settings > Pipelines > Environment variables. Here, you can add and manage environment variables securely.

2. Pipeline Configuration: You can also define environment variables directly within the pipeline configuration YAML file using the variables section or referencing them inline.

Integrating with DCM Dashboards

To get an overview of all open issues and enabled code health metrics, and how they change over time, you can upload the results of the dcm run command to DCM Dashboards.

To get started, check out this guide.