Blog Archive

A sophisticated archival system for blog posts with multi-dimensional organization including chronological, topical, and series-based navigation. The system provides intelligent categorization, series detection, and maintains content relationships through symbolic linking.

Features

• Intelligent categorization with keyword-based classification
• Chronological organization by year and quarter
• Automatic series detection and organization
• Cross-referencing through symbolic links
• Automated organization using Python
• Preservation of original HTML content
• Smart content relationship management

Directory Structure

/original-content/     # Original blog posts and metadata
  /posts/             # Original HTML files
  posts.csv           # Metadata for organization

/blog-archive/        # Main organized content
  /posts/            # Chronological organization
    /YYYY/          # Year folders
      /Q1-Q4/      # Quarter folders
        *.html     # Symlinks to blog posts
  /categories/      # Topic-based organization
    /talmud/       # Talmudic studies and interpretation
    /history/      # Historical analysis and research
    /tech-and-ai/  # Technology and AI related content
    /biblical/     # Biblical commentary and analysis
    /methodology/  # Study methods and analytical approaches
  /series/          # Multi-part post collections
    /{series-name}/ # Auto-detected series groupings
  /assets/          # Static assets (pending implementation)
  index.md         # Main chronological index
  categories.md    # Category-based index
  series.md        # Series/multi-part posts index

/scripts/           # Organization tools
  organize_posts.py # Main organization script

Categories

The system uses intelligent keyword detection to categorize content into:

• Talmud: Posts about Talmudic studies and interpretation
• History: Historical analysis and research
• Tech & AI: Technology, automation, and artificial intelligence
• Biblical: Biblical commentary and analysis
• Methodology: Study methods and analytical approaches

Implementation

The archive uses:

• Python for automated organization
• Intelligent category detection with extensive keyword sets
• Regex-based series detection
• CSV-based metadata management
• Symbolic links for cross-referencing
• Markdown indices for navigation
• Quarterly organization for better content management

Usage

1. Place blog post HTML files and metadata CSV in source directory
2. Run the organization script:

   python scripts/organize_posts.py

3. Access content through chronological, categorical, or series-based navigation

Features Deep Dive

• Category Detection: Uses sophisticated keyword matching with over 50 keywords per category
• Series Detection: Implements regex patterns to identify and group related posts
• Content Preservation: Maintains original HTML formatting while providing organized access
• Multi-dimensional Access: Provides multiple ways to discover and access content
• Relationship Management: Maintains connections between related posts
• Index Generation: Creates navigable markdown indices for easy content discovery

Maintenance

• HTML files maintain original formatting
• Generated indices update automatically
• Symbolic links ensure content consistency
• Quarter-based organization for scalability
• Category system expandable through keyword updates

Roadmap

Future enhancements planned:

• Asset processing implementation
• Enhanced content validation
• Extended test coverage
• Search functionality
• Tag system implementation
• Enhanced metadata extraction