Uploading to Codecov just got easier

How do you know your tests actually exercise your code? Perhaps you’re using a code coverage tool like . .

Using Codecov

It’s really easy to get started. Codecov offers a is one of them. (If you have private pipelines on Azure Pipelines or anyplace else, you can still use Codecov and will need to manage a token.)

Connecting with Azure Pipelines

To give it a try for yourself, clone one of Codecov’s , so that’s where I started. It’s a toy Python project with two methods and one test. You’ll have to change two things about that example repo:

1. Replace .travis.yml with an Azure Pipelines YAML definition.


2. Instead of using the Python codecov uploader, rely on the Bash uploader.

Here’s my example Azure Pipelines file:

trigger:

- master



pool:

  vmImage: 'ubuntu-latest'

strategy:

  matrix:

    Python35:

      python.version: '3.5'

    Python36:

      python.version: '3.6'

    Python37:

      python.version: '3.7'



steps:

- task: UsePythonVersion@0

  inputs:

    versionSpec: '$(python.version)'

  displayName: 'Use Python $(python.version)'



- script: |

    python -m pip install --upgrade pip

    pip install coverage

  displayName: 'Install coverage'



- script: |

    coverage run tests.py

  displayName: 'Run tests'



- script: |

    bash <(curl -s https://codecov.io/bash)

  displayName: 'Upload to codecov.io'

Showing it off

After I install the Codecov GitHub app and run this pipeline, Codecov handles the rest for me. Here’s an example of the graphs it generates:

appeared first on Azure DevOps Blog.