Input Validation & Sanitization

[pdcolandrea]

Parent Issue: #10

Task: Input Validation & Sanitization

Description

Implement comprehensive field validation and data sanitization for all onboarding inputs using Drizzle patterns. This includes validating required vs optional fields, implementing proper error handling, and ensuring data integrity before database operations.

Acceptance Criteria

• Comprehensive validation rules for all 18-20 onboarding fields
• Data sanitization implemented for user inputs
• Required vs optional field validation logic
• Clear error messages for validation failures
• Integration with Drizzle validation patterns

Technical Details

Create robust validation and sanitization layer using Drizzle's built-in validation capabilities combined with custom validation logic. Implement field-specific validation rules (email format, length constraints, enum values) and comprehensive error handling with user-friendly messages. Ensure all data is properly sanitized before database insertion.

Dependencies

Task 002 (Data Models & Types) must be completed as validation rules depend on the defined types and schemas.

Effort Estimate

• Size: M
• Hours: 12 hours
• Parallel: true

Definition of Done

• Code implemented
• Tests written
• Documentation updated
• Code reviewed