Law Files Organization Analysis & Python Script Plan
Pattern Analysis from Current Files:
Naming Patterns Detected:
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Law Number Patterns:
- “Law 1”, “Law 2”, “LAW 3”, “Law 4”, etc.
- “Law_01”, “Law_02”, etc.
- Mixed case inconsistencies
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Content Type Patterns:
- “Main Document” = MD (Main Document)
- “Introduction” = IN
- “Comprehensive Concept Map” = CM
- “Story” = ST
- “Meta” = MT
- “Final for Substack” = Publication ready
- “Executive Summary” = ES
- Numbered duplicates (1), (2), (3), etc.
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Topic Patterns:
- Law 1: Gravity, Sin
- Law 2: Nuclear, Unity, Entanglement
- Law 3: Electromagnetism, Light, Truth
- Law 4: Weak Force
- Law 5: Thermodynamics, Energy
- Law 6: Cause & Effect, Sowing & Reaping
- Law 7: Quantum, Uncertainty, Relativity
- Law 8: Phase Transitions
- Law 9: Forces, Authority
- Law 10: Unified, Consciousness
Python Script Strategy:
Phase 1: Analysis & Cataloging
- Scan all files and extract law numbers, content types
- Identify duplicates and versions
- Create mapping of files to categories
Phase 2: Smart Renaming
- Apply LW-##-TYPE-DESCRIPTOR naming convention
- Handle duplicates by moving to review folder
- Preserve best versions in main categories
Phase 3: Organization
- Move files to appropriate target folders
- Generate gap analysis report
- Create publication readiness assessment
Script Features Needed:
- File Scanner - Regex patterns to identify law numbers and types
- Duplicate Detector - Find numbered versions and similar content
- Smart Categorizer - Map content to target structure
- Batch Renamer - Apply LW naming convention
- Gap Analyzer - Identify missing content types per law
- Quality Assessor - Identify publication-ready vs draft versions
Would you like me to write this Python script? It could process all 400+ files in seconds rather than hours of manual work.
Canonical Hub: CANONICAL_INDEX