3/10/2023 0 Comments Powershell pesterThe final step is publishing the unit tests. As the code coverage results are mandatory, the pipeline will fail if these are not available. PathToSources: '$(System.DefaultWorkingDirectory)\Publish'Īs specified in the engine the code coverage results are produced in the JaCoCo format. In Azure DevOps these results can be published by using the following block: - task: 'Publish Code Coverage' In this example the directory will be “Publish”. The engine will produce the tests and code coverage results in a separate directory. When encountering these exceptions, it is important to document it so you can always refer back to this. Now in the ideal situation achieving 100% coverage should be the goal, but you might encounter scenarios that cannot be tested. Publishing code coverage resultsĬode coverage is very useful to validate if the tests are covering all the lines of the tested script or module. It is important to set the error action preference on silently continue, as some tests might fail. This is done by using the following block: - task: 'Executing Pester Tests'įilePath: '$(System.DefaultWorkingDirectory)\Pipelines\PowerShell\Pester.ps1'Īrguments: '-ModulePath $(System.DefaultWorkingDirectory) -ResultsPath $(System.DefaultWorkingDirectory)\Publish -Publish'ĮrrorActionPreference: 'silentl圜ontinue' The first step is to start the engine and execute all the available Pester tests. Executing the Pester tests using the engine Quick side note, the following pipeline examples are the YAML-based pipelines running on a Windows-based machine. In order to execute the Pester tests in the pipeline, 3 steps need to be implemented: Invoke-Pester $tests -OutputFile "$ResultsPath\Test-Pester.xml" -OutputFormat NUnitXml -CodeCoverage $($files.FullName) -CodeCoverageOutputFile "$($ResultsPath)\Pester-Coverage.xml" -CodeCoverageOutputFileFormat JaCoCo $pesterModule = Get-Module -Name Pester -ListAvailable | Where-Object ).FullName This engine is written to be used in both the Azure DevOps pipeline but also locally. The publish switch will enable the tests and code coverage results, which can be collected in the pipeline. The following script is an example Pester engine which has multiple parameters. Using your own PowerShell script does provide more flexibility and better control. An alternative way is using a PowerShell script as the Pester engine. It is possible to install a plugin from the Azure DevOps marketplace. There are multiple ways to integrate Pester into the Azure DevOps pipeline. It is recommended to get familiar with the Pester syntax before continuing with the integration into the Azure DevOps pipeline. There are multiple guides available to help getting started with writing Pester tests. From experience, some teams will say it feels like overhead and complex, but in the end, using Pester will provide proof the quality is high and will increase success rate of the Azure DevOps pipelines. This does mean it will require additional time to create and maintain the tests. It is important to understand using Pester is an investment to increase the code quality. Pester integrates nicely with TFS (Team Foundation Server), Azure, Github, Jenkins, and other CI servers, allowing you to fully automate your development lifecycle.įor more information please visit: Pester - The ubiquitous test and mock framework for PowerShell) Adding Pester tests to PowerShell code will enhance code quality and allows you to start creating predictable changes. Pester is the ubiquitous test and mock framework for PowerShell. What is pesterīefore going into the details let’s start with the basics, so what is Pester? This blog post will provide some guidance and pointers how to use Pester in the Azure DevOps pipelines. By using Pester the quality of the produced PowerShell code can be increased, which will result in a higher success rate of the DevOps pipeline. In the EUC environments, PowerShell is the primary scripting language to get these deployments automated. With the increase in Azure DevOps usage, more and more EUC environments are being deployed using pipelines. Interpreting the test and code coverage results.
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