# Test Data Configuration

## Overview
Test Data Configuration provides comprehensive options for managing and manipulating test data during test execution. This feature allows you to define, modify, and validate test data from various sources to ensure robust test scenarios.

## Data Sources

### Static Data
- **As Recorded**
  - Default test data
  - Recorded values
  - Static inputs
  - Fixed parameters

- **Change Test Data**
  - Manual updates
  - Value modification
  - Parameter changes
  - Custom inputs

### Dynamic Data
- **Reference Variables**
  - Create variables
  - Reuse across steps
  - Share between tests
  - Maintain consistency

- **Generated Data**
  - Random values
  - Sequential data
  - Date/time values
  - Custom patterns
  - Data types:
    - CHAR
    - ALPHA
    - NUMBER
    - EMAIL
    - TODAY

### External Sources
- **API Integration**
  - Product selection
  - Module selection
  - API name
  - API parameters
  - Query extraction
  - Response mapping

- **Database**
  - SQL queries
  - Result mapping
  - Data extraction
  - Connection management

- **File Systems**
  - Excel files
  - CSV files
  - Text files
  - JSON files
  - XML files

- **Email**
  - Inbox access
  - Authentication
  - Selection criteria
  - Content filtering
  - OTP extraction

- **Google Sheets**
  - Sheet ID
  - Sheet name
  - Cell reference
  - Data extraction
  - Real-time updates

## Data Dependencies

### Within Test Case
- **Step Dependencies**
  - Previous step data
  - Variable references
  - Data flow
  - State management

- **Cross-Step References**
  - Variable sharing
  - Data passing
  - State maintenance
  - Context preservation

### Between Test Cases
- **Test Case Dependencies**
  - Variable sharing
  - Data inheritance
  - State transfer
  - Context passing

- **Suite Level Data**
  - Shared variables
  - Global parameters
  - Environment data
  - Configuration values

## Best Practices
1. Use appropriate data sources
2. Maintain data independence
3. Document data requirements
4. Handle data cleanup
5. Validate data integrity
6. Manage dependencies
7. Secure sensitive data