Known YAML Errors and Fixes Registry

Executive Summary

Business Impact

• Reduces content publishing delays by automatically fixing common formatting errors
• Prevents site build failures due to malformed YAML
• Maintains consistent content structure across the platform
• Enables scalable content management by automating error detection and correction

Key Features

• Automated detection of 10+ common YAML frontmatter errors
• Self-healing capabilities for critical formatting issues
• Detailed reporting of modifications for tracking and auditing
• Non-blocking operation for non-critical issues

Technical Specification

Architecture Overview

Core Components

1. Error Detection System

• Error detection regex patterns
• Example error cases
• Proper syntax examples
• Criticality level
• Affected operations

unquotedErrorMessageProperty: {
    detectError: /^(error_message|og_errors):[ \t]*[^"'][^"\n]+$/m,
    messageToLog: 'Contains unquoted error message property',
    isCritical: true
}

2. Correction Functions

• Isolates the frontmatter
• Applies specific fixes
• Maintains file integrity
• Returns standardized result objects

3. Helper Functions

• extractFrontmatter: Safely extracts YAML frontmatter
• createSuccessMessage: Standardizes success reporting
• createErrorMessage: Standardizes error reporting
• processMarkdownFiles: Handles batch processing

Error Types and Corrections

Implementation Details

Function Return Structure

{
    success: boolean,
    modified: boolean,
    modifications: Array<Modification>,
    filePath: string,
    fileName: string,
    errors: Array<string>,
    content?: string
}

Error Handling Strategy

1. Non-blocking operation for non-critical errors
2. Detailed error reporting for debugging
3. Modification tracking for audit purposes
4. Fallback mechanisms for complex cases

Integration Points

1. Input Sources
   • Individual Markdown files
   • Directory of Markdown files
   • File arrays from other scripts
2. Output Destinations
   • Modified Markdown files
   • Error reports
   • Modification logs
   • Integration with reporting system

Best Practices for Extension

1. Adding New Error Types
   • Add pattern to knownErrorCases
   • Create corresponding correction function
   • Update error type documentation
   • Add test cases
2. Modifying Existing Patterns
   • Update regex in single source of truth only to knownErrorCases.${caseName}.detectError
   • Maintain backwards compatibility
   • Document pattern changes
   • Update affected test cases

Performance Considerations

1. Optimization Techniques
   • Single-pass frontmatter extraction
   • Efficient regex patterns
   • Minimal file operations
   • Batched processing capability
2. Resource Management
   • Asynchronous file operations
   • Memory-efficient string manipulation
   • Proper error boundary handling

Testing Requirements

1. Unit Tests
   • Individual correction functions
   • Helper function validation
   • Error case coverage
   • Edge case handling
2. Integration Tests
   • Multi-file processing
   • Error aggregation
   • Reporting system integration
   • Performance benchmarks

Security Considerations

1. File Operations
   • Sanitized file paths
   • Controlled file access
   • Backup mechanisms
   • Atomic write operations
2. Input Validation
   • Frontmatter boundary checking
   • Content length limits
   • Character encoding validation
   • Path traversal prevention

Monitoring and Maintenance

1. Key Metrics
   • Error detection rates
   • Correction success rates
   • Processing time
   • File modification tracking
2. Logging Requirements
   • Error occurrences
   • Modification details
   • Performance metrics
   • System health indicators

Documentation Requirements

1. Code Documentation
   • JSDoc comments
   • Function signatures
   • Type definitions
   • Usage examples
2. Operational Documentation
   • Setup instructions
   • Configuration options
   • Troubleshooting guides
   • Maintenance procedures