6cb51c270c
- Remove excessive completion checkmarks and status markers throughout document - Consolidate redundant sections on completed features - Streamline executive summary and current status sections - Focus content on upcoming quick wins and active tasks - Remove duplicate phase completion listings - Clean up success metrics and KPI sections - Maintain essential planning information while reducing noise
128 lines
4.2 KiB
Python
128 lines
4.2 KiB
Python
#!/usr/bin/env python3
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"""
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Content Categorizer and Mover
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Categorizes completed content and moves to appropriate folders
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"""
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import json
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import shutil
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from pathlib import Path
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from datetime import datetime
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def move_completed_content(scan_file, docs_dir, archive_dir):
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"""Move completed content to organized folders"""
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with open(scan_file, 'r') as f:
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scan_results = json.load(f)
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category_mapping = {
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'core_planning': 'core_planning',
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'implementation': 'implementation',
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'testing': 'testing',
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'infrastructure': 'infrastructure',
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'security': 'security',
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'cli': 'cli',
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'backend': 'backend',
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'exchange': 'exchange',
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'blockchain': 'blockchain',
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'analytics': 'analytics',
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'marketplace': 'marketplace',
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'maintenance': 'maintenance',
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'summaries': 'summaries',
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'general': 'general'
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}
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moved_files = []
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category_summary = {}
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for result in scan_results['all_results']:
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if not result.get('has_completion', False):
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continue
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source_path = Path(result['file_path'])
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category = category_mapping.get(result['category'], 'general')
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# Create destination paths
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completed_dir = Path(docs_dir) / 'completed' / category
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archive_dir = Path(archive_dir) / 'by_category' / category
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# Ensure directories exist
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completed_dir.mkdir(parents=True, exist_ok=True)
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archive_dir.mkdir(parents=True, exist_ok=True)
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# Destination file paths
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completed_dest = completed_dir / source_path.name
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archive_dest = archive_dir / source_path.name
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try:
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# Move to completed folder (remove from planning)
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shutil.move(source_path, completed_dest)
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# Create archive entry
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archive_content = f"""# Archived: {source_path.name}
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**Source**: {result['relative_path']}
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**Category**: {category}
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**Archive Date**: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
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**Completion Markers**: {result['completion_count']}
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**File Size**: {result['file_size']} bytes
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## Archive Reason
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This file contains completed tasks and has been moved to the completed documentation folder.
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## Original Content
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The original file content has been preserved in the completed folder and can be referenced there.
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---
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*Archived by AITBC Comprehensive Planning Cleanup*
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"""
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with open(archive_dest, 'w') as f:
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f.write(archive_content)
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moved_files.append({
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'source': str(source_path),
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'completed_dest': str(completed_dest),
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'archive_dest': str(archive_dest),
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'category': category,
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'completion_count': result['completion_count']
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})
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if category not in category_summary:
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category_summary[category] = {
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'files_moved': 0,
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'total_completion_markers': 0
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}
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category_summary[category]['files_moved'] += 1
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category_summary[category]['total_completion_markers'] += result['completion_count']
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print(f"Moved {source_path.name} to completed/{category}/")
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except Exception as e:
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print(f"Error moving {source_path}: {e}")
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return moved_files, category_summary
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if __name__ == "__main__":
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scan_file = 'comprehensive_scan_results.json'
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docs_dir = '/opt/aitbc/docs'
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archive_dir = '/opt/aitbc/docs/archive'
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moved_files, category_summary = move_completed_content(scan_file, docs_dir, archive_dir)
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# Save results
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with open('content_move_results.json', 'w') as f:
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json.dump({
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'moved_files': moved_files,
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'category_summary': category_summary,
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'total_files_moved': len(moved_files)
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}, f, indent=2)
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print(f"Content move complete:")
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print(f" Total files moved: {len(moved_files)}")
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print("")
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print("Files moved by category:")
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for category, summary in category_summary.items():
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print(f" {category}: {summary['files_moved']} files, {summary['total_completion_markers']} markers")
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