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
91 lines
3.2 KiB
Python
91 lines
3.2 KiB
Python
#!/usr/bin/env python3
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"""
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Completed Files Scanner
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Scans all files in docs/completed/ for analysis
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"""
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import os
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import json
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from pathlib import Path
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from datetime import datetime
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def scan_completed_files(completed_dir):
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"""Scan all files in docs/completed/"""
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completed_path = Path(completed_dir)
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if not completed_path.exists():
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return {'error': 'Completed directory not found'}
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files = []
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# Find all markdown files
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for md_file in completed_path.rglob('*.md'):
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if md_file.is_file() and md_file.name != 'README.md':
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try:
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with open(md_file, 'r', encoding='utf-8') as f:
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content = f.read()
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# Get relative path from completed directory
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relative_path = md_file.relative_to(completed_path)
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category = relative_path.parts[0] if len(relative_path.parts) > 1 else 'general'
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files.append({
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'file_path': str(md_file),
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'relative_path': str(relative_path),
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'category': category,
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'filename': md_file.name,
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'file_size': md_file.stat().st_size,
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'content_length': len(content),
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'last_modified': datetime.fromtimestamp(md_file.stat().st_mtime).isoformat(),
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'content_preview': content[:300] + '...' if len(content) > 300 else content
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})
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except Exception as e:
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files.append({
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'file_path': str(md_file),
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'relative_path': str(md_file.relative_to(completed_path)),
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'category': 'error',
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'filename': md_file.name,
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'error': str(e)
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})
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# Categorize files
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category_summary = {}
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for file_info in files:
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category = file_info['category']
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if category not in category_summary:
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category_summary[category] = {
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'files': [],
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'total_files': 0,
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'total_size': 0
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}
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category_summary[category]['files'].append(file_info)
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category_summary[category]['total_files'] += 1
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category_summary[category]['total_size'] += file_info.get('file_size', 0)
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return {
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'total_files_scanned': len(files),
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'categories_found': len(category_summary),
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'category_summary': category_summary,
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'all_files': files
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}
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if __name__ == "__main__":
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completed_dir = '/opt/aitbc/docs/completed'
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output_file = 'completed_files_scan.json'
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scan_results = scan_completed_files(completed_dir)
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# Save results
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with open(output_file, 'w') as f:
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json.dump(scan_results, f, indent=2)
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# Print summary
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print(f"Completed files scan complete:")
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print(f" Total files scanned: {scan_results['total_files_scanned']}")
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print(f" Categories found: {scan_results['categories_found']}")
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print("")
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print("Files by category:")
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for category, summary in scan_results['category_summary'].items():
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print(f" {category}: {summary['total_files']} files, {summary['total_size']} bytes")
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