Advanced ASCII art watermark and author signature system with comprehensive font management.
More...
Advanced ASCII art watermark and author signature system with comprehensive font management.
- Author
- Henry Letellier
- Version
- 1.0.10
- Since
- 1.0.0
- Date
- 2025
This module implements a sophisticated watermark system that provides professional ASCII art author signatures and decorative elements for file headers. It manages extensive collections of font-based ASCII art with metadata, enabling intelligent selection algorithms, interactive presentation, and seamless integration with the AsperHeader extension's document generation pipeline.
Watermark Architecture:
- Collection Management: Centralized font collection with metadata tracking
- Selection Engine: Intelligent random and weighted selection algorithms
- Presentation Layer: Rich webview integration with interactive controls
- Font Classification: Comprehensive categorization and tagging system
- Quality Assurance: Validation and quality control for ASCII art content
- Integration Framework: Deep coupling with header generation systems
Font Collection Features:
- Multi-Font Support: Extensive library of ASCII art fonts and styles
- Metadata Rich: Each watermark includes font name, style, and characteristics
- Quality Control: Curated collection ensuring consistent visual quality
- Size Optimization: Multiple size variants for different use cases
- Style Classification: Categorization by style (block, script, decorative, etc.)
- Historical Fonts: Classic ASCII art fonts with authentic typography
JSON Data Structure:
[
{
"Logo": ["ASCII art line 1", "ASCII art line 2", "..."],
"fontName": "Font Display Name"
}
]
Interactive Presentation System:
- Webview Integration: Full VS Code webview with rich HTML presentation
- User Controls: Copy, zoom, navigation, and preference controls
- Font Information: Detailed font metadata display and attribution
- Preview Modes: Multiple viewing modes (actual size, fit to window, etc.)
- Accessibility: Full keyboard navigation and screen reader support
- Export Options: Multiple output formats for watermark extraction
Selection Algorithms:
- Pure Random: Uniform distribution across all available watermarks
- Weighted Selection: Preference-based selection with user customization
- Style Filtering: Selection within specific style categories
- Quality Filtering: Selection based on complexity and quality metrics
- Context Awareness: Selection based on file type and project context
- User History: Avoid recent selections to ensure variety
Integration Capabilities:
Performance Optimization:
- Lazy Loading: Watermark collections loaded only when accessed
- Caching Strategy: Intelligent caching of frequently used watermarks
- Memory Management: Efficient cleanup and garbage collection
- Async Operations: Non-blocking file operations and webview updates
- Batch Processing: Efficient handling of large watermark collections
Definition in file watermark.ts.