Scalable REST API Automation Framework

Production-ready REST API automation framework built using Python, Pytest, and Requests.

Features

• Multi-environment execution (DEV / QA)
• Retry mechanism with exponential backoff
• SLA validation (response time checks)
• Parallel test execution
• GitHub Actions CI integration
• Structured logging
• Modular and reusable framework architecture

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Tech Stack

• Python 3
• Pytest
• Requests
• Pytest-xdist
• GitHub Actions

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Project Structure

scalable_api_automation_framework/

├── clients/
├── config/
│   ├── dev.yaml
│   └── qa.yaml
├── core/
│   ├── base_client.py
│   ├── retry_handler.py
│   ├── auth_manager.py
│   └── logger.py
├── schemas/
├── tests/
├── utils/
├── .github/workflows/api-tests.yml
├── conftest.py
├── pytest.ini
└── requirements.txt

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Running Tests

Run in DEV Environment

pytest -s --env dev

Run in QA Environment

pytest -s --env qa

Run Tests in Parallel

pytest -n auto

Uses pytest-xdist for parallel execution.

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Retry Logic

• Configurable through YAML
• Supports exponential backoff
• Handles transient API failures
• Environment-specific retry configuration

Example:

retry:
  max_attempts: 3
  backoff_factor: 2

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SLA Validation

Supports response-time validation directly in test cases.

Example:

response = api_client.get("/posts", sla_ms=1000)

Ensures APIs respond within defined SLA thresholds.

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CI/CD Integration

GitHub Actions workflow includes:

• Automatic execution on push
• Dependency installation
• Test execution
• CI status reporting

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Industry-Level Concepts Used

• Modular framework design
• Environment-based configuration
• Session management
• Retry handling
• Parallel execution
• CI/CD workflow integration
• Structured logging

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Future Enhancements

• Allure Reporting
• Docker Integration
• API Mocking
• Test Data Management Layer

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Author

Pavan Chinta
QA Automation Engineer | Python | API Testing | CI/CD