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Multiple Choice Questions

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  1. Programming Languages
    1. Java
  2. Test Automation Frameworks
    1. Selenium
    2. Advance Selenium
    3. Robot Framework
    4. JUnit4
    5. TestNG
    6. BDD
    7. Cucumber
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    2. DevOps
    3. Jenkins
  5. Version Control Systems
    1. Git
    2. GitHub
  6. Containerization
    1. Docker
  7. Database
    1. SQL
  8. Types of Testing
    1. Security Testing
    2. Performance Testing
    3. ETL Testing
  9. Microservices

BDD Multiple Choice Questions – MCQ1

Cucumber Multiple Choice Questions – MCQ1
Cucumber Multiple-Choice Questions with Answers – MCQ2

Jenkins Multiple Choice Questions – MCQ1
Jenkins Multiple Choice Questions – MCQ2

GitHub Multiple Choice Questions – MCQ1

Docker – Basic Level – Multiple Choice Questions and Answers – MCQ1
Docker – Advance Level – Multiple Choice Questions and Answers – MCQ1

How to run PyTest Framework in GitHub Actions

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This tutorial explains the steps to create a GitHub Action for the PyTest Framework. It also guides you on how to execute the tests in that workflow.

Table of Contents

Why GitHub?

GitHub is a collaborative platform. It supports version control and code collaboration. Automated testing and issue tracking are also supported. These are crucial elements in the software testing process. It promotes transparency, collaboration, and efficiency in the development and testing workflows.

CI/CD pipelines have contributed to the success of the DevOps cycle in all software development projects. This is a holistic process that bridges development and operations. Continuous integration helps development teams deploy code efficiently, and continuous delivery automates code deployment.

Implementation Steps

Step 1 – Create GitHub Actions and Workflows

I have a repository available in GitHub – “PyTest_Framework” as shown in the below image. Go to the “Actions” tab.  Click on the “Actions” tab.

Step 2 – Select the type of Actions

You will see that GitHub recommends Actions depending on the project. In our case, it is recommending actions suitable for a Java project. I have selected the “Python application” option as my project is built in Maven.

Step 3 – Generation of Sample pipeline

If you choose an existing option, it will automatically generate a .yaml for the project as shown below.

We will replace the current workflow with the following yml file as shown below:

name: PyTest Framework - Python
on:
  push:
    branches: [ "main" ]
  pull_request:
    branches: [ "main" ]

permissions:
  contents: read

jobs:
  test:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v4
      - name: Set up Python 3.12.1
        uses: actions/setup-python@v4
        with:
          python-version: 3.12.1

      - name: Install dependencies
        run: |
          python -m pip install --upgrade pip
          pip install pytest
          pip install pytest-selenium
   
      - name: Test with PyTest
        run: pytest --html=tests/Reports/Report.html  

      - name: Test Report Generation
        uses: actions/upload-artifact@v4
        if: success() || failure()
        with:
          name: Pytest Report           # Name of the folder
          path: tests/Reports           # Path to test results

python -m pip install --upgrade pip

pip install pytest
pip install pytest-selenium

  - name: Test with PyTest
    run: pytest --html=tests/Reports/Report.html  

Step 4 – Commit the changes

After the changes, hit the “Start Commit” button.

This will give the option to add a description for the commit. It will also enable the user to commit either to the main branch or commit to any other branch that exists in the project. My personal prefernece is to create a new branch like shown below and then commit the changes in that new branch.

Step 5 – Verify that the workflow is running

Next, head over to the “Actions” tab, and you will see your YAML workflow file present under the tab. The yellow sign represents that the job is in the queue.

In Progress – When the job starts building and running, you will see the status change from “Queued” to “In progress”.

Passed – If the build is successful, you will see a green tick mark. 

Click on the workflow and the below screen is displayed. It shows the status of the run of the workflow, the total time taken to run the workflow, and the name of the .yml file.

Below shows all the steps of the workflow.

The complete code can be found here on GitHub – vibssingh/PyTest_Framework.

Congratulations! We just created our CI workflow for running our Python Robot Framework.