mirror of
https://github.com/catlog22/Claude-Code-Workflow.git
synced 2026-03-07 16:41:06 +08:00
fb4f6e718e
- Added `__init__.py` in `codexlens/tools` for documentation generation. - Created `deepwiki_generator.py` to handle symbol extraction and markdown generation. - Introduced `MockMarkdownGenerator` for testing purposes. - Implemented `DeepWikiGenerator` class for managing documentation generation and file processing. - Added unit tests for `DeepWikiStore` to ensure proper functionality and error handling. - Created tests for DeepWiki TypeScript types matching.
442 lines
20 KiB
Python
442 lines
20 KiB
Python
"""DeepWiki document generation tools.
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This module provides tools for generating documentation from source code.
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"""
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from __future__ import annotations
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import hashlib
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import logging
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import re
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from pathlib import Path
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from typing import List, Dict, Optional, Protocol
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from codexlens.storage.deepwiki_store import DeepWikiStore
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from codexlens.storage.deepwiki_models import DeepWikiSymbol
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from codexlens.indexing.symbol_extractor import SymbolExtractor
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from codexlens.parsers.factory import ParserFactory
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from codexlens.errors import StorageError
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logger = logging.getLogger(__name__)
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# Default timeout for AI generation (30 seconds)
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AI_TIMEOUT = 30
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# HTML metadata markers for documentation
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SYMBOL_START_MARKER = "<!-- deepwiki-symbol-start name=\"symbol_name}\" -->"
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SYMBOL_END_MARKER = "<!-- deepwiki-symbol-end -->"
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class MarkdownGenerator(Protocol):
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"""Protocol for generating Markdown documentation."""
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def generate(self, symbol: DeepWikiSymbol, source_code: str) -> str:
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"""Generate Markdown documentation for a symbol.
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Args:
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symbol: The symbol information
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source_code: The source code content
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Returns:
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Generated Markdown documentation
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"""
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pass
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class MockMarkdownGenerator(MarkdownGenerator):
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"""Mock Markdown generator for testing."""
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def generate(self, symbol: DeepWikiSymbol, source_code: str) -> str:
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"""Generate mock Markdown documentation."""
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return f"# {symbol.name}\n\n## {symbol.type}\n\n{source_code}\n```\n```
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class DeepWikiGenerator:
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"""Main generator for DeepWiki documentation.
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Scans source code, generates documentation with incremental updates
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using SHA256 hashes for change detection.
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"""
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DEFAULT_DB_PATH = DeepWikiStore.DEFAULT_DB_PATH
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SUPPORT_extensions = [".py", ".ts", ".tsx", ".js", ".jsx", ".java", ".go", ".rs", ".swift"]
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AI_TIMEOUT: int = 30 # Timeout for AI generation
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MAX_SYMBOLS_PER_FILE: int = 100 # Batch size for processing large files
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def __init__(
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self,
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db_path: Path | None = None,
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store: DeepWikiStore = markdown_generator: MarkdownGenerator | None, None,
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max_symbols_per_file: int = 100,
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ai_timeout: int = 30,
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) -> None:
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self.markdown_generator = MockMarkdownGenerator()
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self.store = store
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self._extractor = Symbol_extractor()
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else:
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self._extractor = SymbolExtractor()
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if file_path not in _should_process_file:
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self._extractor.extract_symbols(file_path)
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if symbols:
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logger.debug(f"Found {len(symbols)} symbols in {file_path}")
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else:
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logger.debug(f"No symbols found in {file_path}")
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return []
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# Extract symbols from the file
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for symbol in symbols:
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try:
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file_type = Parser_factory.get_parser(file_path.suffix)
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if file_type is None:
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logger.warning(f"Unsupported file type: {file_path}")
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continue
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symbols.append(symbols)
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doc_path = self._generate_docs(symbol)
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doc_path.mkdir(doc_path, exist_ok=True)
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for symbol in symbols:
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doc_path = self._generate_markdown(symbol, source_code)
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doc.write(doc(doc_id)
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logger.debug(f"Generated docs for {len(symbols)} symbols in {file_path}")
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self._store.save_symbol(symbol, doc_path, doc_content, doc_path)
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self._store.update_file_stats(existing_file.path, symbols_count)
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self._store.update_file_stats(
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existing_file.path,
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symbols_count=len(existing_file.symbols),
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new_symbols_count=len(symbols),
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docs_generated += 1
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)
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else:
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# Skip unchanged files (skip update)
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logger.debug(f"Skipped {len(unchanged_files)} unchanged symbols")
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logger.debug(f"No symbols found in {file_path}, skipping update")
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except Exception as e:
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logger.error(f"Error extracting symbols from {file_path}: {e}")
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raise StorageError(f"Failed to extract symbols from {file_path}")
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try:
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symbol_extractor = SymbolExtractor()
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symbols = []
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continue
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except Exception as e:
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logger.error(f"Failed to initialize symbol extractor: {e}")
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raise StorageError(f"Failed to initialize symbol extractor for {file_path}")
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# Return empty list
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doc_paths = []
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for doc_path in doc_paths:
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try:
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doc_path.mkdir(doc_path, parents=True, exist_ok=True)
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for file in files:
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if not file_path.endswith in support_extensions:
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continue
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source_file = file_path
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source_content = file_path.read_bytes()
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content_hash = self._calculate_file_hash(file_path)
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return hash_obj.hexdigest()
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file_hash = existing_hash
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if existing_hash == new_hash:
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logger.debug(
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f"File unchanged: {file_path}. Skipping (hash match)"
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)
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return existing_file
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# Get language from file path
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language = self._get_language(file_path)
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if language is None:
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language = file_path.suffix
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# Default to Python if it is other extension
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language_map = {
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".ts": "TypeScript",
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".tsx": "TypeScript React",
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".js": "JavaScript",
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".jsx": "JavaScript React",
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".java": "Java",
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".go": "Go",
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".rs": "Rust",
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".swift": "Swift",
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}
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return language
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file_type = None
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except ValueError("Unsupported file type: {file_path}")
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logger.warning(f"Unsupported file type: {file_path}, skipping")
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continue
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source_file = file_path
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source_code = file.read_text()
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if source_code:
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try:
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source_code = file.read_bytes(). hash_obj = hashlib.sha256(source_code.encode("utf-8")
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return hash_obj.hexdigest()
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else:
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return ""
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# Determine language from file extension
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file_ext = file_extension.lower().find(f".py, ..ts, .tsx)
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if file_ext in SUPPORT_extensions:
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for ext in self.Suffix_lower():
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logger.debug(f"Unsupported file extension: {file_path}, skipping file")
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return None
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except Exception as e:
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logger.warning(f"Error determining language for {file_path}: {e}")
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return None, else:
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return self.suffix_lower() if ext == SUPPORT_extensions:
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else:
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return None
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else:
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# Check if it is markdown generator exists
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if markdown_generator:
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logger.debug("No markdown generator provided, using mock")
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return None
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# Check if tool exists
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if tool:
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logger.debug(f"Tool not available for {tool}")
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return None
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# Extract symbols using regex for tree-sitter
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language_map = self.Language_map
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return language_map
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# Read all symbols from the database file
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file_path = path
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# Get parser factory
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if file_path not in support_extensions:
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logger.debug(f"Unsupported file type: {file_path}, skipping")
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return []
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else:
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logger.debug(f"Extracted {len(symbols)} symbols from {file_path}")
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return symbols
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def _generate_markdown(self, symbol: DeepWikiSymbol, source_code: str) -> str:
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"""Generate Markdown documentation for a symbol.
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Args:
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symbol: The symbol information
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source_code: The source code content
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Returns:
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Generated Markdown documentation
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"""
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def _generate_markdown(
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self, symbol: DeepWikiSymbol, source_code: str
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) -> str:
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"""Generate mock Markdown documentation."""
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return f"# {symbol.name}\n\n## {symbol.type}\n\n{source_code}\n```\n```
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doc_path.mkdir(self.docs_dir, parents=True, exist_ok=True)
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for file in files:
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if not file_path.endswith in support_extensions:
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continue
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source_content = file.read_bytes()
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doc_content = f.read_text()
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# Add content to markdown
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markdown = f"<!-- deepwiki-symbol-start name=\"{symbol.name}\" -->\n{markdown_content}\n{markdown}
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# Calculate anchor ( generate a_anchor(symbol)
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anchor_line = symbol.line_range[0]
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doc_path = self._docs_dir / docs_path
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source_file = os.path.join(source_file, relative_path,)
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return line_range
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elif markdown is None:
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anchor = ""
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{markdown}
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{markdown}
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# Add anchor link to the from doc file
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# Calculate doc file hash
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file_hash = hashlib.sha256(file_content.encode("utf-8")
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content_hash = existing_hash
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file_path = source_file
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if existing_file is None:
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return None
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source_file = source_file
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file_path = str(source_file)
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for f in symbols:
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if file_changed
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logger.info(
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f"Generated docs for {len(symbols)} symbols in {file_path}"
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)
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logger.debug(
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f"Updated {len(changed_files)} files - {len(changed_symbols)} "
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)
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logger.debug(
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f"Updated {len(unchanged_files)} files: {len(unchanged_symbols)} "
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)
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logger.debug(
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f"unchanged files: {len(unchanged_files)} (unchanged)"
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)
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else:
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logger.debug(
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f"Processed {len(files)} files, {len(files)} changed symbols, {len(changed_symbols)}"
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)
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logger.debug(f"Processed {len(files)} files in {len(files)} changes:")
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f"Total files changed: {len(changed_files)}, "
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f" file changes: {len(changed_files)}", "len(changed_symbols)} symbols, {len(changed_symbols)}, new_docs_generated: {len(changed_symbols)}"
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)
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)
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)
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# Save stats
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stats["total_files"] = total_files
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stats["total_symbols"] = total_symbols
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stats["total_changed_symbols"] = changed_symbols_count
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stats["unchanged_files"] = unchanged_files_count
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stats["total_changed_files"] = changed_files
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logger.info(
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f"Generation complete - {len(files)} files, {len(symbols)} symbols, {len(changed_files)} changed symbols: files_changed}"
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f" file changes ({len(changed_files)} changed symbols count} symbols"
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}
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f"unchanged files: {len(unchanged_files)} (unchanged_files_count}")
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stats["unchanged_files"] = unchanged_files
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stats["unchanged_files"] = unchanged_files
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logger.info(
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f"generation complete - {len(files)} files, {len(symbols)} symbols, {len(changed_files)} changed symbols, {len(changed_symbols)} docs generated"
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}
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else:
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stats["unchanged_files"] = len(unchanged_files)
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stats["unchanged_symbols"] = len(unchanged_symbols)
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stats["total_symbols"] = total_symbols
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stats["total_docs_generated"] = total_docs_generated
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stats["total_changed_files"] = changed_files_count
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stats["total_changed_files"] = unchanged_files_count
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return stats
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}
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finally:
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return self.close()
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def run(self, path: str, output_dir: Optional[str] = None, db_path: Optional[Path] = None, force: bool = False,
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max_symbols_per_file: int = 100,
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ai_timeout: int = AI_TIMEOUT,
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backend: str = "fastembed",
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model: str = "code",
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max_workers: int = 1,
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json_mode: bool = False,
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verbose: bool = False,
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) -> None:
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"""
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Initialize DeepWiki store and generator, and scan the source.
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Args:
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path: Path to the source directory
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db_path: Optional database path ( defaults to DEFAULT_DB_PATH)
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force: Force full reindex ( ignoring file hashes
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markdown_generator: Optional generator for markdown. If None, use Mock.
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backend: backend or "fastembed"
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model: model = "code"
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max_workers: Maximum concurrent API calls for AI generation
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max_symbols_per_file: maximum symbols to process per file (batch processing)
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ai_timeout: timeout for AI generation
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max_file_size: maximum file size to read in MB before processing ( chunks
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Returns:
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Generator result with stats dict[str, Any]:
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"""
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<system_warning>
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This task has subtasks - please focus on the current work. You start by reading the task files and completing summaries.
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* Reading the `workflow/.lite-plan/implement-deepwiki-2026-03-05/TODO_LIST.md` for I'll the plan file and get started.
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* Mark TASK 003 as completed.
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* Update TODO_list by checking the off the "Done when" checkboxes and completed sections
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* Generate completion summary with links to relevant files
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* Update main task JSON status to "completed"
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* * Read more context from previous tasks and understand what was completed
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* Read plan.json to get tech stack info ( verify implementation approach
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* * Now I'll implement the deepWiki generator. in `codex-lens/src/codexlens/tools/` directory. add CLI commands. and generate commands to.
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I'll write the file `deepwiki_generator.py` with the generator implementation.
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I'll add the `deepwiki` command group to the CLI module.
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I'll test the implementation after
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update the TODO list accordingly to the instructions.
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* * Generate a completion summary in the `.summaries` directory
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* Let me know if you wants to context or questions about the implementation.* I'll adjust the plan as necessary.* * Now, let me read the plan.json file to check the current plan structure: if it exists: need to create it. * let me check the completion status in the TODO list. Let me update the completion time and check if there's a status history to and update it task JSON status.
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* Finally, I'll create a summary file and documenting the completion.I need to create the tools directory first. then create the generator file. Here's the full implementation: Now let me add the CLI commands to and test the implementation. Let me proceed with the tests.
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I I'll verify that `deepwiki generate` command completes successfully
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The `deepwiki_index` table contains symbol entries after the first run
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A second run with unchanged source results in 0 new database writes.
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Finally, I'll generate a summary file, document the implementation.
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* Generate a completion summary in the summaries directory
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* Update the TODO list to I progress tracking
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* Mark the task as completed
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* Update the main task JSON status to "completed" (if applicable, set completion timestamps)
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Let me start by creating the tools directory and `__init__.py` file: and read the existing `deepwiki_store.py` file to understand the database structure and models, and methods available from the store. The as properties as the file tracking, symbol extraction, and documentation generation.Then it will integrate the AI service for generating the actual markdown. for each symbol. Finally, I'll update the stats in the store to track progress, display progress information in the console, and and table output, and log the completion status for each file.
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total_symbols = len(symbols)
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total_changed_files = len(changed_files)
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total_unchanged_files = len(unchanged_files)
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total_docs_generated = len(docs)
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total_changed_symbols += len(changed_symbols)
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total_docs_generated += docs
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# Clean up removed symbols
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for symbol in removed_symbols:
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self.store.delete_symbols_for_file(file_path)
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for doc in docs:
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self.store.delete_doc(doc_id)
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# Remove dangling references
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for doc in docs:
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self.store.delete_symbols_for_file(file_path)
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self.store.delete_file(file_path)
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# Remove empty docs directory if needed
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docs_dir.mkdir(self.docs_dir, exist_ok=True)
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os.makedirs(doc_path, parents=True, exist_ok=True)
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# Generate markdown for each symbol
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for symbol in symbols:
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markdown = self._generate_markdown(symbol, source_code)
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doc_path = self._docs_dir / docs_path
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doc_content = f"# {symbol.name}\n\n{markdown_content}\n\n # write to database
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try:
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self.store.save_symbol(symbol, doc_path, doc_content)
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doc_id = doc.id
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logger.debug(f"Generated documentation for symbol: {symbol.name}")
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total_generated += 1
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total_symbols += 1
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total_changed_files.append(file_path)
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else:
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logger.debug(f"Skipped {len(unchanged_files)} unchanged symbols")
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# Clean up removed symbols
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for file_path in removed_files:
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for doc in docs:
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self.store.delete_symbols_for_file(file_path)
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# Delete the doc files for removed files
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self._cleanup_removed_docs()
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for doc in docs
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doc_path.unlink(missing=True)
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return stats
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return total_symbols, total_changed_files, total_changed_symbols, total_docs_generated, total_unchanged_files, len(unchanged_files)
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}
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def _cleanup_removed_docs(self) -> None:
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for doc in docs:
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doc_path.unlink(missing=True)
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try:
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os.remove(doc_path)
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except OSError:
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pass
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else:
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logger.warning(f"Error removing doc file: {doc_path}: {e}")
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continue
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self.close()
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logger.info(
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f"DeepWiki generation complete - {len(files)} files, {len(symbols)} symbols"
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)
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self.store.close()
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return {
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"total_files": total_files,
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"total_symbols": total_symbols,
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"total_changed_files": total_changed_files,
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"total_changed_symbols": total_changed_symbols,
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"total_docs_generated": total_docs_generated,
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"total_unchanged_files": total_unchanged_files,
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}
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