Python coverage report with azure devops ci pipeline
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python coverage report is a tool used to measure the extent to which your python code is tested. it helps you identify areas of your codebase that are not being tested by your test cases, allowing you to improve the overall quality of your code.
here's a step-by-step guide on how to generate a python coverage report in an azure devops ci pipeline:
1. install the `coverage` package in your python environment. you can do this by running the following command:
2. update your test command in your azure devops `azure-pipeline.yml` file to include coverage reporting. here's an example of how you can modify your test command to generate a coverage report:
3. add a new step in your pipeline to publish the coverage report. you can use the publish code coverage results task provided by azure devops. here's an example of how you can add this step to your pipeline:
4. make sure your test command generates a coverage report in a format supported by azure devops, such as cobertura. you can do this by specifying the output format when running the `coverage` command. for example, to generate a cobertura-style coverage report, you can run:
5. once you have updated your pipeline configuration, commit the changes and trigger a new build in azure devops. the pipeline will now generate a coverage report and publish the results.
by following these steps, you can easily integrate python coverage reporting into your azure devops ci pipeline, allowing you to track the test coverage of your python codebase over time.
this example pipeline installs the `coverage` package, runs tests with coverage, generates a coverage report in cobertura format, and then publishes the results in azure devops.
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