A high-performance, strictly typed mobile automation engine built for the 2025-2026 tech landscape. Designed with a Modular High-End Architecture, this project focuses on industrial-grade scalability, containerization, and observability.
The engine follows a decoupled layered approach to ensure zero-leakage between logic and infrastructure:
framework/: Core engine, WebDriver lifecycles, and robust Driver Factory.app/: Application-specific logic (Page Object Model / Screen Objects).config/: Fail-fast environment validation via Pydantic v2.tests/: Atomic test execution powered by Pytest fixtures.
- Core: Python 3.12+ (Strict Type Hinting)
- Driver: Appium 2.x (UiAutomator2)
- Infrastructure: BrowserStack Real Device Cloud
- Validation: Pydantic v2 (Settings validation at runtime)
- CI/CD: GitHub Actions (Automated PEP8 Quality Gates)
- Containerization: Docker-ready for cross-platform orchestration
- Observability: Allure Reports for advanced execution analytics
python -m venv venv
.\venv\Scripts\Activate.ps1
pip install -r requirements.txtdocker build -t mobile-engine .
docker run mobile-engine# Run tests
$env:PYTHONPATH="."; pytest --alluredir=allure-results
# Serve Allure Report
allure serve allure-resultsIntegration with BrowserStack App Automate provides:
🎥 Live Video Streams of test execution.
📋 Device Logs & Appium Inspector data.
📈 Allure Dashboards for stakeholder reporting.
This foundation is built to evolve. The following phases define the transition from Senior-level automation to an autonomous ecosystem:
[x] Phase 1: Foundation — Robust Driver Factory, Base Screen abstractions, CI/CD, and Dockerization.
[ ] Phase 2: Self-Healing AI — Integration of local LLMs/Computer Vision to recover broken selectors.
[ ] Phase 3: Visual Regression 2.0 — Pixel-perfect layout testing using OpenCV and Figma API.
[ ] Phase 4: Contract-Driven UI Testing — Aligning mobile UI tests with Backend API schemas.
Developed by Sergei Volodin