Code Quality (STARTER)
Introduced in GitLab Starter 9.3.
Ensuring your project's code stays simple, readable and easy to contribute to can be problematic. With the help of GitLab CI/CD, you can analyze your source code quality using GitLab Code Quality.
Code Quality:
- Uses Code Climate Engines, which are free and open source. Code Quality does not require a Code Climate subscription.
- Runs in pipelines using a Docker image built in the GitLab Code Quality project using default Code Climate configurations.
- Can make use of a template.
- Is available with Auto DevOps.
- Can be extended through Analysis Plugins or a custom tool.
Going a step further, GitLab can show the Code Quality report right in the merge request widget area:
Watch a quick walkthrough of Code Quality in action:
NOTE: Note: For one customer, the auditor found that having Code Quality, SAST, and Container Scanning all automated in GitLab CI/CD was almost better than a manual review! Read more.
See also the Code Climate list of Supported Languages for Maintainability.
Use cases
For instance, consider the following workflow:
- Your backend team member starts a new implementation for making a certain feature in your app faster.
- With Code Quality reports, they analyze how their implementation is impacting the code quality.
- The metrics show that their code degrades the quality by 10 points.
- You ask a co-worker to help them with this modification.
- They both work on the changes until Code Quality report displays no degradations, only improvements.
- You approve the merge request and authorize its deployment to staging.
- Once verified, their changes are deployed to production.
Example configuration
CAUTION: Caution: The job definition shown below is supported on GitLab 11.11 and later versions. It also requires the GitLab Runner 11.5 or later. For earlier versions, use the previous job definitions.
This example shows how to run Code Quality on your code by using GitLab CI/CD and Docker.
First, you need GitLab Runner configured:
- For the Docker-in-Docker workflow.
- With enough disk space to handle generated Code Quality files. For example on the GitLab project the files are approximately 7 GB.
Once you set up the Runner, include the Code Quality template in your CI configuration:
include:
- template: Code-Quality.gitlab-ci.yml
The above example will create a code_quality
job in your CI/CD pipeline which
will scan your source code for code quality issues. The report will be saved as a
Code Quality report artifact
that you can later download and analyze.
It's also possible to override the URL to the Code Quality image by
setting the CODE_QUALITY_IMAGE
variable. This is particularly useful if you want
to lock in a specific version of Code Quality, or use a fork of it:
include:
- template: Code-Quality.gitlab-ci.yml
code_quality:
variables:
CODE_QUALITY_IMAGE: "registry.example.com/codequality-fork:latest"
By default, report artifacts are not downloadable. If you need them downloadable on the
job details page, you can add gl-code-quality-report.json
to the artifact paths like so:
include:
- template: Code-Quality.gitlab-ci.yml
code_quality:
artifacts:
paths: [gl-code-quality-report.json]
The included code_quality
job is running in the test
stage, so it needs to be included in your CI configuration, like so:
stages:
- test
TIP: Tip: This information will be automatically extracted and shown right in the merge request widget.
CAUTION: Caution: On self-managed instances, if a malicious actor compromises the Code Quality job definition they will be able to execute privileged Docker commands on the Runner host. Having proper access control policies mitigates this attack vector by allowing access only to trusted actors.
Previous job definitions
CAUTION: Caution:
Before GitLab 11.5, Code Quality job and artifact had to be named specifically to
automatically extract report data and show it in the merge request widget. While these
old job definitions are still maintained they have been deprecated and are no longer supported on GitLab 12.0 or higher.
You're advised to update your .gitlab-ci.yml
configuration to reflect that change.
For GitLab 11.5 and later, the job should look like:
code_quality:
image: docker:stable
variables:
DOCKER_DRIVER: overlay2
allow_failure: true
services:
- docker:stable-dind
script:
- export SP_VERSION=$(echo "$CI_SERVER_VERSION" | sed 's/^\([0-9]*\)\.\([0-9]*\).*/\1-\2-stable/')
- docker run
--env SOURCE_CODE="$PWD"
--volume "$PWD":/code
--volume /var/run/docker.sock:/var/run/docker.sock
"registry.gitlab.com/gitlab-org/ci-cd/codequality:$SP_VERSION" /code
artifacts:
reports:
codequality: gl-code-quality-report.json
In GitLab 12.6, Code Quality switched to the
new versioning scheme.
It's highly recommended to include the Code Quality template as shown in the
example configuration, which uses the new versioning scheme.
If not using the template, the SP_VERSION
variable can be hardcoded to use the
new image versions:
code_quality:
image: docker:stable
variables:
DOCKER_DRIVER: overlay2
SP_VERSION: 0.85.6
allow_failure: true
services:
- docker:stable-dind
script:
- docker run
--env SOURCE_CODE="$PWD"
--volume "$PWD":/code
--volume /var/run/docker.sock:/var/run/docker.sock
"registry.gitlab.com/gitlab-org/ci-cd/codequality:$SP_VERSION" /code
artifacts:
reports:
codequality: gl-code-quality-report.json
For GitLab 11.4 and earlier, the job should look like:
code_quality:
image: docker:stable
variables:
DOCKER_DRIVER: overlay2
allow_failure: true
services:
- docker:stable-dind
script:
- export SP_VERSION=$(echo "$CI_SERVER_VERSION" | sed 's/^\([0-9]*\)\.\([0-9]*\).*/\1-\2-stable/')
- docker run
--env SOURCE_CODE="$PWD"
--volume "$PWD":/code
--volume /var/run/docker.sock:/var/run/docker.sock
"registry.gitlab.com/gitlab-org/ci-cd/codequality:$SP_VERSION" /code
artifacts:
paths: [gl-code-quality-report.json]
Alternatively the job name could be codeclimate
or codequality
and the artifact
name could be codeclimate.json
. These names have been deprecated with GitLab 11.0
and may be removed in the next major release, GitLab 12.0.
For GitLab 10.3 and earlier, the job should look like:
codequality:
image: docker:latest
variables:
DOCKER_DRIVER: overlay
services:
- docker:dind
script:
- docker pull codeclimate/codeclimate:0.69.0
- docker run --env CODECLIMATE_CODE="$PWD" --volume "$PWD":/code --volume /var/run/docker.sock:/var/run/docker.sock --volume /tmp/cc:/tmp/cc codeclimate/codeclimate:0.69.0 init
- docker run --env CODECLIMATE_CODE="$PWD" --volume "$PWD":/code --volume /var/run/docker.sock:/var/run/docker.sock --volume /tmp/cc:/tmp/cc codeclimate/codeclimate:0.69.0 analyze -f json > codeclimate.json || true
artifacts:
paths: [codeclimate.json]
Configuring jobs using variables
The Code Quality job supports environment variables that users can set to configure job execution at runtime.
For a list of available environment variables, see Environment variables.
Implementing a custom tool
It's possible to have a custom tool provide Code Quality reports in GitLab. To do this:
- Define a job in your
.gitlab-ci.yml
file that generates the Code Quality report artifact. - Configure your tool to generate the Code Quality report artifact as a JSON file that implements a subset of the Code Climate spec.
The Code Quality report artifact JSON file must contain an array of objects with the following properties:
Name | Description |
---|---|
description |
A description of the code quality violation. |
fingerprint |
A unique fingerprint to identify the code quality violation. For example, an MD5 hash. |
location.path |
The relative path to the file containing the code quality violation. |
location.lines.begin |
The line on which the code quality violation occurred. |
Example:
[
{
"description": "'unused' is assigned a value but never used.",
"fingerprint": "7815696ecbf1c96e6894b779456d330e",
"location": {
"path": "lib/index.js",
"lines": {
"begin": 42
}
}
}
]
NOTE: Note: Although the Code Climate spec supports more properties, those are ignored by GitLab.
Code Quality reports
Once the Code Quality job has completed:
- The full list of code quality violations generated by a pipeline is available in the Code Quality tab of the Pipeline Details page.
- Potential changes to code quality are shown directly in the merge request. The Code Quality widget in the merge request compares the reports from the base and head of the branch, then lists any violations that will be resolved or created when the branch is merged.
- The full JSON report is available as a
downloadable artifact
for the
code_quality
job.
Troubleshooting
No Code Quality report is displayed in a Merge Request
This can be due to multiple reasons:
- You just added the Code Quality job in your
.gitlab-ci.yml
. The report does not have anything to compare to yet, so no information can be displayed. Future merge requests will have something to compare to. - If no degradation or error is detected, nothing will be displayed.
- The
artifacts:expire_in
CI/CD setting can cause the Code Quality artifact(s) to expire faster than desired. - Large
codeclimate.json
files (esp. >10 MB) are known to prevent the report from being displayed. As a work-around, try removing properties that are ignored by GitLab. You can:- Configure the Code Quality tool to not output those types.
- Use
sed
,awk
or similar commands in the.gitlab-ci.yml
script to edit thecodeclimate.json
before the job completes.
Only a single Code Quality report is displayed, but more are defined
GitLab only uses the Code Quality artifact from the latest created job (with the largest job ID).
If multiple jobs in a pipeline generate a code quality artifact, those of earlier jobs are ignored.
To avoid confusion, configure only one job to generate a codeclimate.json
.