feat: Add SKILL.md generation to codebase scraper
BREAKING CHANGE: Codebase scraper now generates complete skill structure Implemented standalone SKILL.md generation for codebase analysis mode, achieving source parity with other scrapers (docs, github, pdf). **What Changed:** - Added _generate_skill_md() - generates 300+ line SKILL.md - Added _generate_references() - creates references/ directory structure - Added format helper functions (patterns, examples, API, architecture, config) - Called at end of analyze_codebase() - automatic SKILL.md generation **SKILL.md Sections:** - Front matter (name, description) - Repository info (path, languages, file count) - When to Use (comprehensive use cases) - Quick Reference (languages, analysis features, stats) - Design Patterns (C3.1 - if enabled) - Code Examples (C3.2 - if enabled) - API Reference (C2.5 - if enabled) - Architecture Overview (C3.7 - always included) - Configuration Patterns (C3.4 - if enabled) - Available References (links to detailed docs) **references/ Directory:** Copies all analysis outputs into references/ for organized access: - api_reference/ - dependencies/ - patterns/ - test_examples/ - tutorials/ - config_patterns/ - architecture/ **Benefits:** ✅ Source parity: All 4 sources now generate rich standalone SKILL.md ✅ Standalone mode complete: codebase-scraper → full skill output ✅ Synthesis ready: Can combine codebase with docs/github/pdf ✅ Consistent UX: All scrapers work the same way ✅ Follows plan: Implements synthesis architecture from bubbly-shimmying-anchor.md **Output Example:** ``` output/codebase/ ├── SKILL.md # ✅ NEW! 300+ lines ├── references/ # ✅ NEW! Organized references │ ├── api_reference/ │ ├── dependencies/ │ ├── patterns/ │ ├── test_examples/ │ └── architecture/ ├── api_reference/ # Original analysis files ├── dependencies/ ├── patterns/ ├── test_examples/ └── architecture/ ``` **Testing:** ```bash # Standalone mode codebase-scraper --directory /path/to/repo --output output/codebase/ ls output/codebase/SKILL.md # ✅ Now exists! # Verify line count wc -l output/codebase/SKILL.md # Should be 200-400 lines # Check structure grep "## " output/codebase/SKILL.md ``` **Closes Gap:** - Fixes: Codebase mode didn't generate SKILL.md (#issue from analysis) - Implements: Option 1 from codebase_mode_analysis_report.md - Effort: 4-6 hours (as estimated) **Related:** - Plan: /home/yusufk/.claude/plans/bubbly-shimmying-anchor.md (synthesis architecture) - Analysis: /tmp/codebase_mode_analysis_report.md 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
yusyus
@@ -590,9 +590,431 @@ def analyze_codebase(
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else:
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logger.info("No clear architectural patterns detected")
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# Generate SKILL.md and references/ directory
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logger.info("Generating SKILL.md and references...")
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_generate_skill_md(
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output_dir=output_dir,
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directory=directory,
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results=results,
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depth=depth,
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build_api_reference=build_api_reference,
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build_dependency_graph=build_dependency_graph,
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detect_patterns=detect_patterns,
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extract_test_examples=extract_test_examples,
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extract_config_patterns=extract_config_patterns
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)
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return results
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def _generate_skill_md(
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output_dir: Path,
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directory: Path,
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results: Dict[str, Any],
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depth: str,
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build_api_reference: bool,
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build_dependency_graph: bool,
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detect_patterns: bool,
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extract_test_examples: bool,
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extract_config_patterns: bool
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):
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"""
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Generate rich SKILL.md from codebase analysis results.
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Creates a 300+ line skill file with:
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- Front matter (name, description)
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- Repository info (path, languages, file count)
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- When to Use section
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- Quick Reference (patterns, languages, stats)
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- Code Examples (from test files)
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- API Reference (from code analysis)
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- Architecture Overview
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- Configuration Patterns
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- Available References
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"""
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repo_name = directory.name
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# Generate skill name (lowercase, hyphens only, max 64 chars)
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skill_name = repo_name.lower().replace('_', '-').replace(' ', '-')[:64]
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# Generate description
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description = f"Local codebase analysis for {repo_name}"
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# Count files by language
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language_stats = _get_language_stats(results.get('files', []))
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total_files = len(results.get('files', []))
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# Start building content
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skill_content = f"""---
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name: {skill_name}
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description: {description}
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---
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# {repo_name} Codebase
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## Description
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Local codebase analysis and documentation generated from code analysis.
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**Path:** `{directory}`
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**Files Analyzed:** {total_files}
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**Languages:** {', '.join(language_stats.keys())}
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**Analysis Depth:** {depth}
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## When to Use This Skill
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Use this skill when you need to:
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- Understand the codebase architecture and design patterns
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- Find implementation examples and usage patterns
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- Review API documentation extracted from code
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- Check configuration patterns and best practices
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- Explore test examples and real-world usage
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- Navigate the codebase structure efficiently
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## ⚡ Quick Reference
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### Codebase Statistics
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"""
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# Language breakdown
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skill_content += "**Languages:**\n"
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for lang, count in sorted(language_stats.items(), key=lambda x: x[1], reverse=True):
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percentage = (count / total_files * 100) if total_files > 0 else 0
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skill_content += f"- **{lang}**: {count} files ({percentage:.1f}%)\n"
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skill_content += "\n"
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# Analysis features performed
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skill_content += "**Analysis Performed:**\n"
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if build_api_reference:
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skill_content += "- ✅ API Reference (C2.5)\n"
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if build_dependency_graph:
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skill_content += "- ✅ Dependency Graph (C2.6)\n"
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if detect_patterns:
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skill_content += "- ✅ Design Patterns (C3.1)\n"
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if extract_test_examples:
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skill_content += "- ✅ Test Examples (C3.2)\n"
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if extract_config_patterns:
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skill_content += "- ✅ Configuration Patterns (C3.4)\n"
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skill_content += "- ✅ Architectural Analysis (C3.7)\n\n"
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# Add design patterns if available
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if detect_patterns:
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patterns_content = _format_patterns_section(output_dir)
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if patterns_content:
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skill_content += patterns_content
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# Add code examples if available
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if extract_test_examples:
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examples_content = _format_examples_section(output_dir)
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if examples_content:
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skill_content += examples_content
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# Add API reference if available
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if build_api_reference:
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api_content = _format_api_section(output_dir)
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if api_content:
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skill_content += api_content
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# Add architecture if available
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arch_content = _format_architecture_section(output_dir)
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if arch_content:
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skill_content += arch_content
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# Add configuration patterns if available
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if extract_config_patterns:
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config_content = _format_config_section(output_dir)
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if config_content:
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skill_content += config_content
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# Available references
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skill_content += "## 📚 Available References\n\n"
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skill_content += "This skill includes detailed reference documentation:\n\n"
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refs_added = False
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if build_api_reference and (output_dir / 'api_reference').exists():
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skill_content += "- **API Reference**: `references/api_reference/` - Complete API documentation\n"
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refs_added = True
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if build_dependency_graph and (output_dir / 'dependencies').exists():
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skill_content += "- **Dependencies**: `references/dependencies/` - Dependency graph and analysis\n"
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refs_added = True
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if detect_patterns and (output_dir / 'patterns').exists():
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skill_content += "- **Patterns**: `references/patterns/` - Detected design patterns\n"
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refs_added = True
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if extract_test_examples and (output_dir / 'test_examples').exists():
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skill_content += "- **Examples**: `references/test_examples/` - Usage examples from tests\n"
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refs_added = True
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if extract_config_patterns and (output_dir / 'config_patterns').exists():
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skill_content += "- **Configuration**: `references/config_patterns/` - Configuration patterns\n"
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refs_added = True
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if (output_dir / 'architecture').exists():
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skill_content += "- **Architecture**: `references/architecture/` - Architectural patterns\n"
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refs_added = True
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if not refs_added:
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skill_content += "No additional references generated (analysis features disabled).\n"
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skill_content += "\n"
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# Footer
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skill_content += "---\n\n"
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skill_content += "**Generated by Skill Seeker** | Codebase Analyzer with C3.x Analysis\n"
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# Write SKILL.md
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skill_path = output_dir / "SKILL.md"
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skill_path.write_text(skill_content, encoding='utf-8')
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line_count = len(skill_content.split('\n'))
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logger.info(f"✅ Generated SKILL.md: {skill_path} ({line_count} lines)")
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# Generate references/ directory structure
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_generate_references(output_dir)
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def _get_language_stats(files: List[Path]) -> Dict[str, int]:
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"""Count files by language."""
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stats = {}
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for file_path in files:
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lang = detect_language(file_path)
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if lang != 'Unknown':
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stats[lang] = stats.get(lang, 0) + 1
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return stats
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def _format_patterns_section(output_dir: Path) -> str:
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"""Format design patterns section from patterns/detected_patterns.json."""
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patterns_file = output_dir / 'patterns' / 'detected_patterns.json'
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if not patterns_file.exists():
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return ""
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try:
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with open(patterns_file, 'r', encoding='utf-8') as f:
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patterns_data = json.load(f)
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except Exception:
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return ""
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if not patterns_data:
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return ""
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# Count patterns by type (deduplicate by class, keep highest confidence)
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pattern_counts = {}
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by_class = {}
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for pattern_file in patterns_data:
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for pattern in pattern_file.get('patterns', []):
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ptype = pattern.get('pattern_type', 'Unknown')
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cls = pattern.get('class_name', '')
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confidence = pattern.get('confidence', 0)
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# Skip low confidence
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if confidence < 0.7:
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continue
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# Deduplicate by class
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key = f"{cls}:{ptype}"
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if key not in by_class or by_class[key]['confidence'] < confidence:
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by_class[key] = pattern
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# Count by type
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pattern_counts[ptype] = pattern_counts.get(ptype, 0) + 1
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if not pattern_counts:
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return ""
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content = "### 🎨 Design Patterns Detected\n\n"
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content += "*From C3.1 codebase analysis (confidence > 0.7)*\n\n"
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# Top 5 pattern types
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for ptype, count in sorted(pattern_counts.items(), key=lambda x: x[1], reverse=True)[:5]:
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content += f"- **{ptype}**: {count} instances\n"
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content += f"\n*Total: {len(by_class)} high-confidence patterns*\n\n"
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content += "*See `references/patterns/` for complete pattern analysis*\n\n"
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return content
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def _format_examples_section(output_dir: Path) -> str:
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"""Format code examples section from test_examples/test_examples.json."""
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examples_file = output_dir / 'test_examples' / 'test_examples.json'
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if not examples_file.exists():
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return ""
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try:
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with open(examples_file, 'r', encoding='utf-8') as f:
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examples_data = json.load(f)
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except Exception:
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return ""
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examples = examples_data.get('examples', [])
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if not examples:
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return ""
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# Filter high-value examples (complexity > 0.7)
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high_value = [ex for ex in examples if ex.get('complexity_score', 0) > 0.7]
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if not high_value:
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# If no high complexity, take any examples
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high_value = examples[:10]
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if not high_value:
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return ""
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content = "## 📝 Code Examples\n\n"
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content += "*High-quality examples extracted from test files (C3.2)*\n\n"
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# Top 10 examples
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for ex in sorted(high_value, key=lambda x: x.get('complexity_score', 0), reverse=True)[:10]:
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desc = ex.get('description', 'Example')
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lang = ex.get('language', 'python').lower()
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code = ex.get('code', '')
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complexity = ex.get('complexity_score', 0)
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content += f"**{desc}** (complexity: {complexity:.2f})\n\n"
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content += f"```{lang}\n{code}\n```\n\n"
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content += "*See `references/test_examples/` for all extracted examples*\n\n"
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return content
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def _format_api_section(output_dir: Path) -> str:
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"""Format API reference section."""
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api_dir = output_dir / 'api_reference'
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if not api_dir.exists():
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return ""
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api_md = api_dir / 'api_reference.md'
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if not api_md.exists():
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return ""
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try:
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api_content = api_md.read_text(encoding='utf-8')
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except Exception:
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return ""
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# Extract first section (up to 500 chars)
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preview = api_content[:500]
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if len(api_content) > 500:
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preview += "..."
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content = "## 🔧 API Reference\n\n"
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content += "*Extracted from codebase analysis (C2.5)*\n\n"
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content += preview + "\n\n"
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content += "*See `references/api_reference/` for complete API documentation*\n\n"
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return content
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def _format_architecture_section(output_dir: Path) -> str:
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"""Format architecture section from architecture/architectural_patterns.json."""
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arch_file = output_dir / 'architecture' / 'architectural_patterns.json'
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if not arch_file.exists():
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return ""
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try:
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with open(arch_file, 'r', encoding='utf-8') as f:
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arch_data = json.load(f)
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except Exception:
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return ""
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patterns = arch_data.get('patterns', [])
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if not patterns:
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return ""
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content = "## 🏗️ Architecture Overview\n\n"
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content += "*From C3.7 architectural analysis*\n\n"
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content += "**Detected Architectural Patterns:**\n\n"
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for pattern in patterns[:5]:
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name = pattern.get('pattern_name', 'Unknown')
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confidence = pattern.get('confidence', 0)
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indicators = pattern.get('indicators', [])
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content += f"- **{name}** (confidence: {confidence:.2f})\n"
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if indicators:
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content += f" - Indicators: {', '.join(indicators[:3])}\n"
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content += f"\n*Total: {len(patterns)} architectural patterns detected*\n\n"
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content += "*See `references/architecture/` for complete architectural analysis*\n\n"
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return content
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def _format_config_section(output_dir: Path) -> str:
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"""Format configuration patterns section."""
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config_file = output_dir / 'config_patterns' / 'config_patterns.json'
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if not config_file.exists():
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return ""
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try:
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with open(config_file, 'r', encoding='utf-8') as f:
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config_data = json.load(f)
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except Exception:
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return ""
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config_files = config_data.get('config_files', [])
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if not config_files:
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return ""
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total_settings = sum(len(cf.get('settings', [])) for cf in config_files)
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total_patterns = sum(len(cf.get('patterns', [])) for cf in config_files)
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content = "## ⚙️ Configuration Patterns\n\n"
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content += "*From C3.4 configuration analysis*\n\n"
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content += f"**Configuration Files Analyzed:** {len(config_files)}\n"
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content += f"**Total Settings:** {total_settings}\n"
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content += f"**Patterns Detected:** {total_patterns}\n\n"
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# List config file types found
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file_types = {}
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for cf in config_files:
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ctype = cf.get('config_type', 'unknown')
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file_types[ctype] = file_types.get(ctype, 0) + 1
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if file_types:
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content += "**Configuration Types:**\n"
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for ctype, count in sorted(file_types.items(), key=lambda x: x[1], reverse=True):
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content += f"- {ctype}: {count} files\n"
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content += "\n"
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content += "*See `references/config_patterns/` for detailed configuration analysis*\n\n"
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return content
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def _generate_references(output_dir: Path):
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"""
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Generate references/ directory structure by symlinking analysis output.
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Creates a clean references/ directory that links to all analysis outputs.
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"""
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references_dir = output_dir / 'references'
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references_dir.mkdir(exist_ok=True)
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# Map analysis directories to reference names
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mappings = {
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'api_reference': 'api_reference',
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'dependencies': 'dependencies',
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'patterns': 'patterns',
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'test_examples': 'test_examples',
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'tutorials': 'tutorials',
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'config_patterns': 'config_patterns',
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'architecture': 'architecture'
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}
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for source, target in mappings.items():
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source_dir = output_dir / source
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target_dir = references_dir / target
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if source_dir.exists() and source_dir.is_dir():
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# Copy directory to references/ (not symlink, for portability)
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if target_dir.exists():
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import shutil
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shutil.rmtree(target_dir)
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import shutil
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shutil.copytree(source_dir, target_dir)
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logger.debug(f"Copied {source} → references/{target}")
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logger.info(f"✅ Generated references directory: {references_dir}")
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def main():
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"""Command-line interface for codebase analysis."""
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parser = argparse.ArgumentParser(
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Reference in New Issue
Block a user