Python Back-End Automation is a Python-based backend automation project focused on building reusable, structured automation logic for real-world backend workflows.
The goal of this repository is to demonstrate backend engineering fundamentals such as modular design, automation scripting, error handling, and extensibility.
This project is intentionally designed as a portfolio-ready backend automation service, suitable for production-style growth.
- Backend automation patterns in Python
- Clean entry-point driven execution (
main.py) - Modular, reusable backend logic
- Scalable project structure
- Real-world engineering practices (logging, testing, CI)
- Python 3.8+
- Standard library + extensible third-party integrations
- Pytest (testing β planned)
- GitHub Actions (CI β planned)
Clone the repository:
git clone https://github.com/viowb/PythonBackEndAutomation.git
cd PythonBackEndAutomation
(Optional but recommended) Create a virtual environment:
python -m venv venv
source venv/bin/activate # macOS/Linux
venv\Scripts\activate # Windows
Install dependencies:
pip install -r requirements.txt
βΆοΈ Running the Project
The main entry point is:
python main.py
Environment variables (if required) should be configured before execution:
export API_KEY="your_api_key"
π Project Structure
PythonBackEndAutomation/
βββ main.py # Application entry point
βββ automation/ # Core backend automation logic
β βββ core.py
β βββ utils.py
β βββ config.py
βββ tests/ # Unit & integration tests
βββ .github/workflows/ # CI/CD pipelines
βββ requirements.txt
βββ README.md
The structure is designed to scale from a simple script into a production-ready backend automation service.
π§ͺ Testing (Planned)
Tests will be written using pytest.
pytest
π Roadmap
Planned improvements and features:
Modularize automation logic
Add structured logging
Add configuration via .env
Add retry & timeout handling
Add unit tests & coverage
Add GitHub Actions CI pipeline
Dockerize the application
π§© Why This Repo Exists
This repository is part of a backend engineering portfolio designed to demonstrate:
Automation engineering skills
Backend-first thinking
Maintainable Python codebases
Real-world development workflows
π Status
Actively developed π§
New features and improvements are added incrementally.