- 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
59 lines
2.2 KiB
Python
59 lines
2.2 KiB
Python
#!/usr/bin/env python3
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"""
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Report Generator
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Generates comprehensive cleanup reports
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"""
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import json
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from datetime import datetime
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def generate_cleanup_report():
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"""Generate comprehensive cleanup report"""
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# Load all data files
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with open('analysis_results.json', 'r') as f:
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analysis_results = json.load(f)
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with open('documentation_status.json', 'r') as f:
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documentation_status = json.load(f)
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with open('cleanup_candidates.json', 'r') as f:
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cleanup_candidates = json.load(f)
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with open('cleanup_results.json', 'r') as f:
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cleanup_results = json.load(f)
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# Generate report
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report = {
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'timestamp': datetime.now().isoformat(),
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'summary': {
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'total_planning_files': len(analysis_results),
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'total_completed_tasks': sum(r.get('completed_task_count', 0) for r in analysis_results),
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'total_documented_tasks': sum(r.get('documented_count', 0) for r in documentation_status),
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'total_undocumented_tasks': sum(r.get('undocumented_count', 0) for r in documentation_status),
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'total_cleanup_candidates': cleanup_candidates['summary']['total_cleanup_candidates'],
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'total_lines_removed': sum(r.get('lines_removed', 0) for r in cleanup_results)
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},
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'analysis_results': analysis_results,
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'documentation_status': documentation_status,
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'cleanup_candidates': cleanup_candidates,
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'cleanup_results': cleanup_results
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}
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# Save report
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with open('cleanup_report.json', 'w') as f:
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json.dump(report, f, indent=2)
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# Print summary
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summary = report['summary']
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print(f"Cleanup Report Generated:")
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print(f" Planning files analyzed: {summary['total_planning_files']}")
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print(f" Completed tasks found: {summary['total_completed_tasks']}")
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print(f" Documented tasks: {summary['total_documented_tasks']}")
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print(f" Undocumented tasks: {summary['total_undocumented_tasks']}")
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print(f" Cleanup candidates: {summary['total_cleanup_candidates']}")
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print(f" Lines removed: {summary['total_lines_removed']}")
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if __name__ == "__main__":
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generate_cleanup_report()
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