python-test-automation-cookbook

Python and GitLab CI/CD Testing Cookbook

Practical examples for building CI/CD-based QA automation workflows with Python, pytest, GitLab CI, Docker, Allure, Slack notifications, and Azure Pipelines.

This repository is a cookbook of reusable examples and patterns for QA engineers, SDETs, and QA leads who want to integrate automated tests, quality checks, reports, and notifications into delivery pipelines.

What this project covers

• Python test execution with pytest
• GitLab CI jobs for automated test runs
• Dockerized Selenium execution
• Slack notifications from CI and pytest
• Allure reporting and logging examples
• Code quality checks with pylint and Black
• Test parametrization patterns
• Multi-thread execution examples
• Sitemap status checking
• Azure Pipelines pytest execution

Scope

This is not a single production-ready test framework.

It is a collection of independent CI/CD testing examples that can be reused, adapted, or combined in real QA automation projects.

How to use this repository

Choose a scenario:

Quick start

Requirements:

• Python 3.14+
• pip
• Docker, optional, for browser/Selenium examples
• Allure CLI, optional, for local report generation

Install dependencies:

python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt

Install lint and CI tooling:

pip install -r requirements-lint.txt

Run tests:

pytest src/tests

Generate Allure report

pytest --alluredir=reports src/tests
allure serve reports

Design goals

• keep test feedback close to the delivery pipeline
• make test results visible and actionable
• provide reusable CI/CD examples for QA automation teams
• demonstrate local and CI execution patterns
• combine tests, quality checks, reports, and notifications