Basic Pytest Example
Below is a simple workflow for executing pytest tests stored on GitHub.
You can paste this directly into the YAML of an existing or new test, just make
sure to update the name and namespace for your environment if needed.
- The 
spec.contentproperty defines the location of the folder containing the Pytest test on GitHub - The 
spec.containerproperty defines the workingDir and docker image used in the Workflow. - the 
spec.stepsproperty defines a single step that runs the test. 
Basic Pytest Workflow
kind: TestWorkflow
apiVersion: testworkflows.testkube.io/v1
metadata:
  name: pytest
  namespace: testkube
spec:
  content:
    git:
      uri: https://github.com/kubeshop/testkube-examples.git
      revision: main
      paths:
        - Pytest-Test-Workflow
  container:
    workingDir: /data/repo/Pytest-Test-Workflow
    image: python:3.8.17-alpine3.18
  steps:
    - name: Run test
      shell: pip install pipenv requests pytest && pytest test-api-endpoint.py
After execution, you can see the log output from the Pytest runner under the executions panel Log Output tab:
