🧪 Python Testing & Coverage Project

This repository demonstrates unit testing, code coverage analysis, and CI automation using Python.

It is part of my DevOps & Cloud Computing practice to understand how testing integrates into real-world CI/CD pipelines.

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🚀 What this project demonstrates

• Writing unit tests using pytest
• Measuring code coverage with coverage.py
• Generating HTML coverage reports
• Uploading coverage to CI tools (Codecov / GitHub Actions)
• Structuring Python projects for testing
• Automating tests in CI pipeline

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📂 Project Structure

Testings/
│
├── src/              # Application source code
├── tests/            # Unit tests
├── .github/workflows # CI pipeline configuration
├── requirements.txt  # Dependencies
└── README.md

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🧠 Application Example

A simple Python calculator supporting:

• Addition
• Subtraction
• Multiplication
• Division (with error handling)

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🧪 Running Tests Locally

Install dependencies:

pip install -r requirements.txt

Run tests:

pytest

Run tests with coverage:

pytest --cov=src

Generate HTML report:

pytest --cov=src --cov-report=html

Open coverage report:

htmlcov/index.html

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⚙️ CI Integration

This repository uses GitHub Actions to:

• Install dependencies
• Run tests automatically
• Generate coverage report
• Upload results to coverage tools

You can view pipeline runs in:

GitHub → Actions tab

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📊 Learning Outcomes

• Understood testing workflow in Python projects
• Learned coverage metrics and reports
• Practiced CI pipeline automation
• Improved code reliability mindset
• Built portfolio-ready DevOps project

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👨‍💻 Author

Jay Gupta DevOps & Cloud Learner (PW Skills)

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⭐ Star this repo if you find it useful!