Two critical improvements from PR #243 code review: ## Fix 1: Empty List Edge Case Handling Added early return checks to prevent creating empty index files: **Files Modified:** - src/skill_seekers/cli/unified_skill_builder.py **Changes:** - _generate_docs_references: Skip if docs_list empty - _generate_github_references: Skip if github_list empty - _generate_pdf_references: Skip if pdf_list empty **Impact:** Prevents "Combined from 0 sources" index files which look odd. ## Fix 2: Enhanced Method Docstrings Added comprehensive parameter types and return value documentation: **Files Modified:** - src/skill_seekers/cli/llms_txt_parser.py - extract_urls: Added detailed examples and behavior notes - _clean_url: Added malformed URL pattern examples - src/skill_seekers/cli/doc_scraper.py - _extract_markdown_content: Full return dict structure documented - _extract_html_as_markdown: Extraction strategy and fallback behavior **Impact:** Improved developer experience with detailed API documentation. ## Testing All tests passing: - ✅ 32/32 PR #243 tests (markdown parsing + multi-source) - ✅ 975/975 core tests - 159 skipped (optional dependencies) - 4 failed (missing anthropic - expected) Co-authored-by: Code Review <claude-sonnet-4.5@anthropic.com>
547 lines
21 KiB
Python
547 lines
21 KiB
Python
#!/usr/bin/env python3
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"""
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Unified Skill Builder
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Generates final skill structure from merged multi-source data:
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- SKILL.md with merged APIs and conflict warnings
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- references/ with organized content by source
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- Inline conflict markers (⚠️)
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- Separate conflicts summary section
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Supports mixed sources (documentation, GitHub, PDF) and highlights
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discrepancies transparently.
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"""
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import os
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import json
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import shutil
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import logging
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from pathlib import Path
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from typing import Dict, List, Any, Optional
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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class UnifiedSkillBuilder:
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"""
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Builds unified skill from multi-source data.
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"""
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def __init__(self, config: Dict, scraped_data: Dict,
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merged_data: Optional[Dict] = None, conflicts: Optional[List] = None):
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"""
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Initialize skill builder.
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Args:
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config: Unified config dict
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scraped_data: Dict of scraped data by source type
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merged_data: Merged API data (if conflicts were resolved)
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conflicts: List of detected conflicts
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"""
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self.config = config
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self.scraped_data = scraped_data
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self.merged_data = merged_data
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self.conflicts = conflicts or []
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self.name = config['name']
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self.description = config['description']
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self.skill_dir = f"output/{self.name}"
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# Create directories
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os.makedirs(self.skill_dir, exist_ok=True)
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os.makedirs(f"{self.skill_dir}/references", exist_ok=True)
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os.makedirs(f"{self.skill_dir}/scripts", exist_ok=True)
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os.makedirs(f"{self.skill_dir}/assets", exist_ok=True)
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def build(self):
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"""Build complete skill structure."""
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logger.info(f"Building unified skill: {self.name}")
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# Generate main SKILL.md
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self._generate_skill_md()
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# Generate reference files by source
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self._generate_references()
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# Generate conflicts report (if any)
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if self.conflicts:
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self._generate_conflicts_report()
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logger.info(f"✅ Unified skill built: {self.skill_dir}/")
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def _generate_skill_md(self):
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"""Generate main SKILL.md file."""
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skill_path = os.path.join(self.skill_dir, 'SKILL.md')
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# Generate skill name (lowercase, hyphens only, max 64 chars)
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skill_name = self.name.lower().replace('_', '-').replace(' ', '-')[:64]
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# Truncate description to 1024 chars if needed
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desc = self.description[:1024] if len(self.description) > 1024 else self.description
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content = f"""---
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name: {skill_name}
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description: {desc}
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---
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# {self.name.title()}
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{self.description}
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## 📚 Sources
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This skill combines knowledge from multiple sources:
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"""
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# List sources
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for source in self.config.get('sources', []):
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source_type = source['type']
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if source_type == 'documentation':
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content += f"- ✅ **Documentation**: {source.get('base_url', 'N/A')}\n"
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content += f" - Pages: {source.get('max_pages', 'unlimited')}\n"
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elif source_type == 'github':
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content += f"- ✅ **GitHub Repository**: {source.get('repo', 'N/A')}\n"
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content += f" - Code Analysis: {source.get('code_analysis_depth', 'surface')}\n"
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content += f" - Issues: {source.get('max_issues', 0)}\n"
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elif source_type == 'pdf':
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content += f"- ✅ **PDF Document**: {source.get('path', 'N/A')}\n"
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# Data quality section
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if self.conflicts:
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content += f"\n## ⚠️ Data Quality\n\n"
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content += f"**{len(self.conflicts)} conflicts detected** between sources.\n\n"
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# Count by type
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by_type = {}
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for conflict in self.conflicts:
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ctype = conflict.type if hasattr(conflict, 'type') else conflict.get('type', 'unknown')
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by_type[ctype] = by_type.get(ctype, 0) + 1
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content += "**Conflict Breakdown:**\n"
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for ctype, count in by_type.items():
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content += f"- {ctype}: {count}\n"
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content += f"\nSee `references/conflicts.md` for detailed conflict information.\n"
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# Merged API section (if available)
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if self.merged_data:
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content += self._format_merged_apis()
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# Quick reference from each source
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content += "\n## 📖 Reference Documentation\n\n"
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content += "Organized by source:\n\n"
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for source in self.config.get('sources', []):
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source_type = source['type']
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content += f"- [{source_type.title()}](references/{source_type}/)\n"
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# When to use this skill
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content += f"\n## 💡 When to Use This Skill\n\n"
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content += f"Use this skill when you need to:\n"
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content += f"- Understand how to use {self.name}\n"
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content += f"- Look up API documentation\n"
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content += f"- Find usage examples\n"
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if 'github' in self.scraped_data:
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content += f"- Check for known issues or recent changes\n"
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content += f"- Review release history\n"
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content += "\n---\n\n"
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content += "*Generated by Skill Seeker's unified multi-source scraper*\n"
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with open(skill_path, 'w', encoding='utf-8') as f:
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f.write(content)
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logger.info(f"Created SKILL.md")
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def _format_merged_apis(self) -> str:
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"""Format merged APIs section with inline conflict warnings."""
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if not self.merged_data:
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return ""
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content = "\n## 🔧 API Reference\n\n"
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content += "*Merged from documentation and code analysis*\n\n"
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apis = self.merged_data.get('apis', {})
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if not apis:
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return content + "*No APIs to display*\n"
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# Group APIs by status
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matched = {k: v for k, v in apis.items() if v.get('status') == 'matched'}
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conflicts = {k: v for k, v in apis.items() if v.get('status') == 'conflict'}
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docs_only = {k: v for k, v in apis.items() if v.get('status') == 'docs_only'}
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code_only = {k: v for k, v in apis.items() if v.get('status') == 'code_only'}
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# Show matched APIs first
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if matched:
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content += "### ✅ Verified APIs\n\n"
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content += "*Documentation and code agree*\n\n"
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for api_name, api_data in list(matched.items())[:10]: # Limit to first 10
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content += self._format_api_entry(api_data, inline_conflict=False)
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# Show conflicting APIs with warnings
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if conflicts:
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content += "\n### ⚠️ APIs with Conflicts\n\n"
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content += "*Documentation and code differ*\n\n"
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for api_name, api_data in list(conflicts.items())[:10]:
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content += self._format_api_entry(api_data, inline_conflict=True)
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# Show undocumented APIs
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if code_only:
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content += f"\n### 💻 Undocumented APIs\n\n"
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content += f"*Found in code but not in documentation ({len(code_only)} total)*\n\n"
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for api_name, api_data in list(code_only.items())[:5]:
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content += self._format_api_entry(api_data, inline_conflict=False)
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# Show removed/missing APIs
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if docs_only:
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content += f"\n### 📖 Documentation-Only APIs\n\n"
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content += f"*Documented but not found in code ({len(docs_only)} total)*\n\n"
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for api_name, api_data in list(docs_only.items())[:5]:
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content += self._format_api_entry(api_data, inline_conflict=False)
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content += f"\n*See references/api/ for complete API documentation*\n"
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return content
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def _format_api_entry(self, api_data: Dict, inline_conflict: bool = False) -> str:
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"""Format a single API entry."""
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name = api_data.get('name', 'Unknown')
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signature = api_data.get('merged_signature', name)
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description = api_data.get('merged_description', '')
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warning = api_data.get('warning', '')
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entry = f"#### `{signature}`\n\n"
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if description:
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entry += f"{description}\n\n"
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# Add inline conflict warning
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if inline_conflict and warning:
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entry += f"⚠️ **Conflict**: {warning}\n\n"
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# Show both versions if available
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conflict = api_data.get('conflict', {})
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if conflict:
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docs_info = conflict.get('docs_info')
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code_info = conflict.get('code_info')
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if docs_info and code_info:
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entry += "**Documentation says:**\n"
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entry += f"```\n{docs_info.get('raw_signature', 'N/A')}\n```\n\n"
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entry += "**Code implementation:**\n"
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entry += f"```\n{self._format_code_signature(code_info)}\n```\n\n"
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# Add source info
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source = api_data.get('source', 'unknown')
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entry += f"*Source: {source}*\n\n"
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entry += "---\n\n"
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return entry
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def _format_code_signature(self, code_info: Dict) -> str:
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"""Format code signature for display."""
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name = code_info.get('name', '')
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params = code_info.get('parameters', [])
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return_type = code_info.get('return_type')
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param_strs = []
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for param in params:
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param_str = param.get('name', '')
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if param.get('type_hint'):
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param_str += f": {param['type_hint']}"
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if param.get('default'):
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param_str += f" = {param['default']}"
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param_strs.append(param_str)
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sig = f"{name}({', '.join(param_strs)})"
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if return_type:
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sig += f" -> {return_type}"
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return sig
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def _generate_references(self):
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"""Generate reference files organized by source."""
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logger.info("Generating reference files...")
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# Generate references for each source type (now lists)
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docs_list = self.scraped_data.get('documentation', [])
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if docs_list:
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self._generate_docs_references(docs_list)
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github_list = self.scraped_data.get('github', [])
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if github_list:
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self._generate_github_references(github_list)
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pdf_list = self.scraped_data.get('pdf', [])
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if pdf_list:
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self._generate_pdf_references(pdf_list)
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# Generate merged API reference if available
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if self.merged_data:
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self._generate_merged_api_reference()
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def _generate_docs_references(self, docs_list: List[Dict]):
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"""Generate references from multiple documentation sources."""
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# Skip if no documentation sources
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if not docs_list:
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return
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docs_dir = os.path.join(self.skill_dir, 'references', 'documentation')
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os.makedirs(docs_dir, exist_ok=True)
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all_copied_files: List[str] = []
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# Process each documentation source
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for i, doc_source in enumerate(docs_list):
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source_id = doc_source.get('source_id', f'source_{i}')
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base_url = doc_source.get('base_url', 'Unknown')
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refs_dir = doc_source.get('refs_dir', '')
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# Create subdirectory for this source
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source_dir = os.path.join(docs_dir, source_id)
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os.makedirs(source_dir, exist_ok=True)
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copied_files: List[str] = []
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if refs_dir and os.path.isdir(refs_dir):
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for entry in sorted(os.listdir(refs_dir)):
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src_path = os.path.join(refs_dir, entry)
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dst_path = os.path.join(source_dir, entry)
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if not os.path.isfile(src_path):
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continue
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shutil.copy2(src_path, dst_path)
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copied_files.append(entry)
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# Create index for this source
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source_index_path = os.path.join(source_dir, 'index.md')
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with open(source_index_path, 'w', encoding='utf-8') as f:
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f.write(f"# Documentation: {source_id}\n\n")
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f.write(f"**Source**: {base_url}\n\n")
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f.write(f"**Pages**: {doc_source.get('total_pages', 'N/A')}\n\n")
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if copied_files:
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files_no_index = [p for p in copied_files if p.lower() != 'index.md']
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f.write("## Files\n\n")
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for filename in files_no_index:
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f.write(f"- [{filename}]({filename})\n")
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else:
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f.write("No reference files available.\n")
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all_copied_files.extend(copied_files)
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# Create main index
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index_path = os.path.join(docs_dir, 'index.md')
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with open(index_path, 'w', encoding='utf-8') as f:
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f.write("# Documentation References\n\n")
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f.write(f"Combined from {len(docs_list)} documentation sources.\n\n")
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f.write("## Sources\n\n")
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for doc_source in docs_list:
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source_id = doc_source.get('source_id', 'unknown')
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base_url = doc_source.get('base_url', 'Unknown')
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total_pages = doc_source.get('total_pages', 'N/A')
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f.write(f"- [{source_id}]({source_id}/index.md) - {base_url} ({total_pages} pages)\n")
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logger.info(f"Created documentation references ({len(docs_list)} sources)")
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def _generate_github_references(self, github_list: List[Dict]):
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"""Generate references from multiple GitHub sources."""
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# Skip if no GitHub sources
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if not github_list:
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return
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github_dir = os.path.join(self.skill_dir, 'references', 'github')
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os.makedirs(github_dir, exist_ok=True)
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# Process each GitHub source
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for i, github_source in enumerate(github_list):
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repo = github_source.get('repo', f'repo_{i}')
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repo_id = github_source.get('repo_id', repo.replace('/', '_'))
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github_data = github_source.get('data', {})
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# Create subdirectory for this repo
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repo_dir = os.path.join(github_dir, repo_id)
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os.makedirs(repo_dir, exist_ok=True)
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# Create README reference
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if github_data.get('readme'):
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readme_path = os.path.join(repo_dir, 'README.md')
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with open(readme_path, 'w', encoding='utf-8') as f:
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f.write(f"# Repository README: {repo}\n\n")
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f.write(github_data['readme'])
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# Create issues reference
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if github_data.get('issues'):
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issues_path = os.path.join(repo_dir, 'issues.md')
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with open(issues_path, 'w', encoding='utf-8') as f:
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f.write(f"# GitHub Issues: {repo}\n\n")
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f.write(f"{len(github_data['issues'])} recent issues.\n\n")
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for issue in github_data['issues'][:20]:
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f.write(f"## #{issue['number']}: {issue['title']}\n\n")
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f.write(f"**State**: {issue['state']}\n")
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if issue.get('labels'):
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f.write(f"**Labels**: {', '.join(issue['labels'])}\n")
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f.write(f"**URL**: {issue.get('url', 'N/A')}\n\n")
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# Create releases reference
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if github_data.get('releases'):
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releases_path = os.path.join(repo_dir, 'releases.md')
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with open(releases_path, 'w', encoding='utf-8') as f:
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f.write(f"# Releases: {repo}\n\n")
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for release in github_data['releases'][:10]:
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f.write(f"## {release['tag_name']}: {release.get('name', 'N/A')}\n\n")
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f.write(f"**Published**: {release.get('published_at', 'N/A')[:10]}\n\n")
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if release.get('body'):
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f.write(release['body'][:500])
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f.write("\n\n")
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# Create index for this repo
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repo_index_path = os.path.join(repo_dir, 'index.md')
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repo_info = github_data.get('repo_info', {})
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with open(repo_index_path, 'w', encoding='utf-8') as f:
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f.write(f"# GitHub: {repo}\n\n")
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f.write(f"**Stars**: {repo_info.get('stars', 'N/A')}\n")
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f.write(f"**Language**: {repo_info.get('language', 'N/A')}\n")
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f.write(f"**Issues**: {len(github_data.get('issues', []))}\n")
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f.write(f"**Releases**: {len(github_data.get('releases', []))}\n\n")
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f.write("## Files\n\n")
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f.write("- [README.md](README.md)\n")
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if github_data.get('issues'):
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f.write("- [issues.md](issues.md)\n")
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if github_data.get('releases'):
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f.write("- [releases.md](releases.md)\n")
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# Create main index
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index_path = os.path.join(github_dir, 'index.md')
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with open(index_path, 'w', encoding='utf-8') as f:
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f.write("# GitHub References\n\n")
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f.write(f"Combined from {len(github_list)} GitHub repositories.\n\n")
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f.write("## Repositories\n\n")
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for github_source in github_list:
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repo = github_source.get('repo', 'unknown')
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repo_id = github_source.get('repo_id', repo.replace('/', '_'))
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github_data = github_source.get('data', {})
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repo_info = github_data.get('repo_info', {})
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stars = repo_info.get('stars', 'N/A')
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f.write(f"- [{repo}]({repo_id}/index.md) - {stars} stars\n")
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logger.info(f"Created GitHub references ({len(github_list)} repos)")
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def _generate_pdf_references(self, pdf_list: List[Dict]):
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"""Generate references from PDF sources."""
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# Skip if no PDF sources
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if not pdf_list:
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return
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pdf_dir = os.path.join(self.skill_dir, 'references', 'pdf')
|
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os.makedirs(pdf_dir, exist_ok=True)
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|
|
|
# Create index
|
|
index_path = os.path.join(pdf_dir, 'index.md')
|
|
with open(index_path, 'w', encoding='utf-8') as f:
|
|
f.write("# PDF Documentation\n\n")
|
|
f.write(f"Reference from {len(pdf_list)} PDF document(s).\n\n")
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|
|
|
logger.info(f"Created PDF references ({len(pdf_list)} sources)")
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|
|
|
def _generate_merged_api_reference(self):
|
|
"""Generate merged API reference file."""
|
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api_dir = os.path.join(self.skill_dir, 'references', 'api')
|
|
os.makedirs(api_dir, exist_ok=True)
|
|
|
|
api_path = os.path.join(api_dir, 'merged_api.md')
|
|
|
|
with open(api_path, 'w') as f:
|
|
f.write("# Merged API Reference\n\n")
|
|
f.write("*Combined from documentation and code analysis*\n\n")
|
|
|
|
apis = self.merged_data.get('apis', {})
|
|
|
|
for api_name in sorted(apis.keys()):
|
|
api_data = apis[api_name]
|
|
entry = self._format_api_entry(api_data, inline_conflict=True)
|
|
f.write(entry)
|
|
|
|
logger.info(f"Created merged API reference ({len(apis)} APIs)")
|
|
|
|
def _generate_conflicts_report(self):
|
|
"""Generate detailed conflicts report."""
|
|
conflicts_path = os.path.join(self.skill_dir, 'references', 'conflicts.md')
|
|
|
|
with open(conflicts_path, 'w') as f:
|
|
f.write("# Conflict Report\n\n")
|
|
f.write(f"Found **{len(self.conflicts)}** conflicts between sources.\n\n")
|
|
|
|
# Group by severity
|
|
high = [c for c in self.conflicts if (hasattr(c, 'severity') and c.severity == 'high') or c.get('severity') == 'high']
|
|
medium = [c for c in self.conflicts if (hasattr(c, 'severity') and c.severity == 'medium') or c.get('severity') == 'medium']
|
|
low = [c for c in self.conflicts if (hasattr(c, 'severity') and c.severity == 'low') or c.get('severity') == 'low']
|
|
|
|
f.write("## Severity Breakdown\n\n")
|
|
f.write(f"- 🔴 **High**: {len(high)} (action required)\n")
|
|
f.write(f"- 🟡 **Medium**: {len(medium)} (review recommended)\n")
|
|
f.write(f"- 🟢 **Low**: {len(low)} (informational)\n\n")
|
|
|
|
# List high severity conflicts
|
|
if high:
|
|
f.write("## 🔴 High Severity\n\n")
|
|
f.write("*These conflicts require immediate attention*\n\n")
|
|
|
|
for conflict in high:
|
|
api_name = conflict.api_name if hasattr(conflict, 'api_name') else conflict.get('api_name', 'Unknown')
|
|
diff = conflict.difference if hasattr(conflict, 'difference') else conflict.get('difference', 'N/A')
|
|
|
|
f.write(f"### {api_name}\n\n")
|
|
f.write(f"**Issue**: {diff}\n\n")
|
|
|
|
# List medium severity
|
|
if medium:
|
|
f.write("## 🟡 Medium Severity\n\n")
|
|
|
|
for conflict in medium[:20]: # Limit to 20
|
|
api_name = conflict.api_name if hasattr(conflict, 'api_name') else conflict.get('api_name', 'Unknown')
|
|
diff = conflict.difference if hasattr(conflict, 'difference') else conflict.get('difference', 'N/A')
|
|
|
|
f.write(f"### {api_name}\n\n")
|
|
f.write(f"{diff}\n\n")
|
|
|
|
logger.info(f"Created conflicts report")
|
|
|
|
|
|
if __name__ == '__main__':
|
|
# Test with mock data
|
|
import sys
|
|
|
|
if len(sys.argv) < 2:
|
|
print("Usage: python unified_skill_builder.py <config.json>")
|
|
sys.exit(1)
|
|
|
|
config_path = sys.argv[1]
|
|
|
|
with open(config_path, 'r') as f:
|
|
config = json.load(f)
|
|
|
|
# Mock scraped data
|
|
scraped_data = {
|
|
'github': {
|
|
'data': {
|
|
'readme': '# Test Repository',
|
|
'issues': [],
|
|
'releases': []
|
|
}
|
|
}
|
|
}
|
|
|
|
builder = UnifiedSkillBuilder(config, scraped_data)
|
|
builder.build()
|
|
|
|
print(f"\n✅ Test skill built in: output/{config['name']}/")
|