Data Driven Automation

Overview

This is a Selenium-based test automation framework designed to validate login functionality of Practice Test Automation website The framework uses Python and implements the Page Object Model (POM) pattern to test various login scenarios on a practice website. A key feature of this framework is its data-driven testing approach, demonstrating real-world testing practices used by professional development teams.

Features

• Automated login testing with multiple test cases
• Data-driven testing using CSV files for scalable test management
• Detailed logging with both console and file output
• Error handling and recovery
• Page Object Model implementation for better maintenance
• Chrome WebDriver support with configurable options

Prerequisites

• Python 3.x
• Chrome browser
• ChromeDriver (compatible with your Chrome version)
• Required Python packages:
  • selenium
  • pytest

Data-Driven Testing Approach

This framework implements data-driven testing, a practice widely used in professional development teams. Instead of hardcoding test data in the source code, the framework reads test scenarios from external CSV files. This approach offers several advantages:

• Scalability: Can handle hundreds or thousands of test cases without code modifications
• Maintainability: Test data can be updated without changing code
• Collaboration: Non-technical team members can contribute test cases
• Flexibility: Easy to add new test scenarios or modify existing ones

Test Data Structure

The CSV file (data/test_cases.csv) contains test scenarios with the following structure:

Each row represents a unique test case, allowing for:

• Valid login attempts
• Invalid username scenarios
• Invalid password scenarios
• Empty field validations

Installation

1. Clone the repository
2. Install required packages:

3. pip install selenium

4. Ensure ChromeDriver is in your system PATH

Configuration

Key configurations are stored in constants.py:

• BASE_URL: Target website URL
• WAIT_TIME: Default wait time for elements
• BROWSER_TYPE: Browser selection
• Test credentials and element locators

Running Tests

Execute the test suite by running:

python3 src/test_login.py

Logging

The framework provides comprehensive logging:

• Console output for real-time monitoring
• File logging in test_execution.log
• Test results with clear pass/fail indicators

Error Handling

The framework includes:

• Automatic recovery from common failures
• Session reset between tests
• Detailed error logging
• Page load verification

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request