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
88 lines
2.6 KiB
Python
88 lines
2.6 KiB
Python
#!/usr/bin/env python3
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"""
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Enhanced Planning Document Cleanup
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Removes archived completed tasks from planning documents
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"""
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import json
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import re
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from pathlib import Path
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def cleanup_document(file_path, archived_tasks, dry_run=True):
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"""Clean up a planning document by removing archived tasks"""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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lines = f.readlines()
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# Sort tasks by line number in reverse order (to avoid index shifting)
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tasks_to_remove = sorted(archived_tasks, key=lambda x: x['line_number'], reverse=True)
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removed_lines = []
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for task in tasks_to_remove:
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line_num = task['line_number'] - 1 # Convert to 0-based index
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if 0 <= line_num < len(lines):
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removed_lines.append(lines[line_num])
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lines.pop(line_num)
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if not dry_run:
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with open(file_path, 'w', encoding='utf-8') as f:
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f.writelines(lines)
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return {
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'file_path': file_path,
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'lines_removed': len(removed_lines),
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'removed_content': removed_lines
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}
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except Exception as e:
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return {
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'file_path': file_path,
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'error': str(e),
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'lines_removed': 0
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}
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def perform_cleanup(archive_file, dry_run=True):
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"""Perform cleanup of all archived tasks"""
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with open(archive_file, 'r') as f:
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archived_data = json.load(f)
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cleanup_results = []
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for archive_item in archived_data:
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result = cleanup_document(
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archive_item['original_file'],
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archive_item['tasks'],
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dry_run
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)
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cleanup_results.append(result)
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return cleanup_results
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if __name__ == "__main__":
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import sys
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archive_file = sys.argv[1] if len(sys.argv) > 1 else 'archive_results.json'
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dry_run = sys.argv[2] if len(sys.argv) > 2 else 'true'
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dry_run = dry_run.lower() == 'true'
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results = perform_cleanup(archive_file, dry_run)
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# Save results
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with open('cleanup_results.json', 'w') as f:
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json.dump(results, f, indent=2)
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# Print summary
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total_removed = sum(r.get('lines_removed', 0) for r in results)
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mode = "DRY RUN" if dry_run else "ACTUAL"
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print(f"Cleanup {mode} complete:")
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print(f" Files processed: {len(results)}")
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print(f" Total lines removed: {total_removed}")
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for result in results:
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if result.get('lines_removed', 0) > 0:
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print(f" {result['file_path']}: {result['lines_removed']} lines")
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