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
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
#!/usr/bin/env python3
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"""
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Final Cleanup Script
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Handles remaining completed task patterns
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"""
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import re
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from pathlib import Path
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def final_cleanup(file_path):
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"""Final cleanup of remaining completed task patterns"""
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try:
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with open(file_path, 'r', encoding='utf-8') as f:
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content = f.read()
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# Find patterns with ✅ at the end of lines
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end_of_line_patterns = [
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r'^(.+)\s*✅\s*COMPLETE\s*$',
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r'^(.+)\s*✅\s*IMPLEMENTED\s*$',
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r'^(.+)\s*✅\s*OPERATIONAL\s*$',
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r'^(.+)\s*✅\s*DEPLOYED\s*$',
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r'^(.+)\s*✅\s*WORKING\s*$',
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r'^(.+)\s*✅\s*FUNCTIONAL\s*$'
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]
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lines = content.split('\n')
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lines_to_remove = []
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for i, line in enumerate(lines):
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for pattern in end_of_line_patterns:
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if re.search(pattern, line, re.IGNORECASE):
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lines_to_remove.append(i)
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break
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# Remove lines (in reverse order to maintain indices)
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for line_num in sorted(lines_to_remove, reverse=True):
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del lines[line_num]
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# Write back
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with open(file_path, 'w', encoding='utf-8') as f:
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f.write('\n'.join(lines))
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return len(lines_to_remove)
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except Exception as e:
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print(f"Error: {e}")
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return 0
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if __name__ == "__main__":
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file_path = "/opt/aitbc/docs/10_plan/01_core_planning/00_nextMileston.md"
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removed = final_cleanup(file_path)
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print(f"Final cleanup: Removed {removed} additional completed task lines")
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# Verify
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with open(file_path, 'r') as f:
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content = f.read()
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remaining = len(re.findall(r'', content))
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print(f"Remaining completed task markers: {remaining}")
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