bcf7d12b4a
Adds --ai flag that sends the directory tree, file categories, and sampled file contents to Claude for analysis. Produces a brief summary at the top of the report and a detailed breakdown at the end. Requires ANTHROPIC_API_KEY env var; degrades gracefully without it. Uses only stdlib (urllib) to keep the zero-dependency constraint. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
104 lines
3.2 KiB
Python
104 lines
3.2 KiB
Python
"""Report formatting — human-readable terminal output."""
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def format_report(report, target):
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"""Format the full report as a human-readable string."""
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sep = "=" * 60
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lines = []
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lines.append(sep)
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lines.append(f" LUMINOS — File System Intelligence Report")
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lines.append(f" Target: {target}")
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lines.append(sep)
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# AI brief summary (top of report)
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ai_brief = report.get("ai_brief", "")
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if ai_brief:
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lines.append("")
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lines.append(">> SUMMARY (AI)")
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lines.append("-" * 40)
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for paragraph in ai_brief.split("\n"):
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lines.append(f" {paragraph}")
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# Directory tree
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lines.append("")
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lines.append(">> DIRECTORY TREE")
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lines.append("-" * 40)
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lines.append(report.get("tree_rendered", "(unavailable)"))
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# File type summary
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lines.append("")
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lines.append(">> FILE TYPE INTELLIGENCE")
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lines.append("-" * 40)
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cats = report.get("file_categories", {})
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if cats:
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total = sum(cats.values())
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for cat in sorted(cats, key=cats.get, reverse=True):
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count = cats[cat]
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bar = "#" * min(count, 40)
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lines.append(f" {cat:<12} {count:>4} {bar}")
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lines.append(f" {'TOTAL':<12} {total:>4}")
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else:
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lines.append(" No files found.")
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# Languages & LOC
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lines.append("")
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lines.append(">> CODE DETECTION")
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lines.append("-" * 40)
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langs = report.get("languages", [])
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loc = report.get("lines_of_code", {})
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if langs:
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lines.append(f" Languages detected: {', '.join(langs)}")
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lines.append("")
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lines.append(" Lines of code:")
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for lang in sorted(loc, key=loc.get, reverse=True):
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lines.append(f" {lang:<20} {loc[lang]:>8} lines")
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lines.append(f" {'TOTAL':<20} {sum(loc.values()):>8} lines")
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else:
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lines.append(" No source code files detected.")
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large = report.get("large_files", [])
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if large:
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lines.append("")
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lines.append(" Unusually large files:")
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for f in large:
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lines.append(f" ! {f['name']} ({', '.join(f['reasons'])})")
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# Recency
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lines.append("")
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lines.append(">> RECENTLY MODIFIED FILES")
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lines.append("-" * 40)
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recent = report.get("recent_files", [])
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if recent:
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for i, f in enumerate(recent, 1):
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lines.append(f" {i:>2}. {f['modified_human']} {f['name']}")
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lines.append(f" {f['path']}")
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else:
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lines.append(" No recent files found.")
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# Disk usage
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lines.append("")
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lines.append(">> DISK USAGE — TOP DIRECTORIES")
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lines.append("-" * 40)
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top = report.get("top_directories", [])
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if top:
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for d in top:
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lines.append(f" {d['size_human']:>10} {d['path']}")
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else:
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lines.append(" No usage data available.")
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# AI detailed breakdown (end of report)
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ai_detailed = report.get("ai_detailed", "")
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if ai_detailed:
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lines.append("")
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lines.append(">> DETAILED AI ANALYSIS")
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lines.append("-" * 40)
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for paragraph in ai_detailed.split("\n"):
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lines.append(f" {paragraph}")
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lines.append("")
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lines.append(sep)
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lines.append(" End of report.")
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lines.append(sep)
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return "\n".join(lines)
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