If you decide to use the Docker Image with your Azure pipeline, you will need to update the configuration file azure-pipelines.yml with this small snippet, which will download and invoke the client:
steps:- script: |curl -s "https://www.meterian.io/downloads/meterian-cli.jar" -o meterian-cli.jardisplayName: 'Download Meterian Java thin client'- script: |java -jar meterian-cli.jardisplayName: 'Run Meterian analysis'env:METERIAN_API_TOKEN: $(METERIAN_API_TOKEN)
The requirement is for the base image to have java installed (most images do, see the Azure documentation for details). A working example of the non-native integration using the Java Thin client can be found here.
Please remember that, before invoking the client, you will also need to make sure that the relevant tools are installed and configured in your pipeline. So, for example, if you need to analyse a NodeJS project you will need to install, prior to Meterian, the required tooling, like in this example:
- task: [email protected]inputs:versionSpec: '10.x'displayName: 'Install Node.js (Meterian will need it as this is a Node project)'
Meterian will be launched against the project source code every time a new change is committed and pushed in your repository. Rember to set the METERIAN_API_TOKEN environment variable, see the Azure Devops section for instructions.
Here's a list of integration examples for every language: