Azure Pipelines

After you've installed the Qodana Azure Pipelines extension to your organization, to configure the Qodana Scan task, edit your azure-pipelines.yml file:

# Start with a minimal pipeline that you can customize to build and deploy your code.
# Add steps that build, run tests, deploy, and more:
# https://aka.ms/yaml

trigger:
  - main

pool:
  vmImage: ubuntu-latest

steps:
  - task: Cache@2  # Not required, but Qodana will open projects with cache faster.
    inputs:
      key: '"$(Build.Repository.Name)" | "$(Build.SourceBranchName)" | "$(Build.SourceVersion)"'
      path: '$(Agent.TempDirectory)/qodana/cache'
      restoreKeys: |
        "$(Build.Repository.Name)" | "$(Build.SourceBranchName)"
        "$(Build.Repository.Name)"
  - task: QodanaScan@2023

Triggering this job depends on what type of repository you are using in Azure Pipelines.

The task can be run on any OS and x86_64/arm64 CPUs, but it requires the agent to have Docker installed. And since most of the Qodana Docker images are Linux-based, the docker daemon must be able to run Linux containers.

To send the results to Qodana Cloud, all you need to do is to specify the QODANA_TOKEN environment variable in the build configuration.

1. In the Azure Pipelines UI, create the QODANA_TOKEN secret variable and save the project token as its value.

2. In the Azure pipeline file, add QODANA_TOKEN variable to the env section of the QodanaScan task:

- task: QodanaScan@2023
  env:
    QODANA_TOKEN: $(QODANA_TOKEN)

After the token is set for analysis, all Qodana Scan job results will be uploaded to your Qodana Cloud project.

To display Qodana report summary in Azure DevOps UI in 'Scans' tab, install Microsoft DevLabs’ SARIF SAST Scans Tab extension.