feat: Implement DeepWiki documentation generation tools

- 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.
This commit is contained in:
catlog22
2026-03-05 18:30:56 +08:00
parent 0bfae3fd1a
commit fb4f6e718e
62 changed files with 7500 additions and 68 deletions

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@@ -4414,3 +4414,95 @@ def index_migrate_deprecated(
json_mode=json_mode,
verbose=verbose,
)
# ==================== DeepWiki Commands ====================
deepwiki_app = typer.Typer(help="DeepWiki documentation generation commands")
app.add_typer(deepwiki_app, name="deepwiki")
@deepwiki_app.command("generate")
def deepwiki_generate(
path: Annotated[Path, typer.Argument(help="File or directory to generate docs for")] = Path("."),
force: Annotated[bool, typer.Option("--force", "-f", help="Force regeneration")] = False,
json_mode: Annotated[bool, typer.Option("--json", help="Output JSON response")] = False,
verbose: Annotated[bool, typer.Option("--verbose", "-v", help="Enable verbose logging")] = False,
) -> None:
"""Generate DeepWiki documentation for source files.
Scans source code, extracts symbols, and generates Markdown documentation
with incremental updates using SHA256 hashes for change detection.
Examples:
codexlens deepwiki generate ./src
codexlens deepwiki generate ./src/auth.py
"""
from codexlens.tools.deepwiki_generator import DeepWikiGenerator
_configure_logging(verbose, json_mode)
path = Path(path).resolve()
if not path.exists():
msg = f"Path not found: {path}"
if json_mode:
print_json(success=False, error=msg)
else:
console.print(f"[red]Error:[/red] {msg}")
raise typer.Exit(code=1)
try:
generator = DeepWikiGenerator()
result = generator.run(path)
if json_mode:
print_json(success=True, result=result)
else:
console.print(f"[green]DeepWiki generation complete:[/green]")
console.print(f" Files processed: {result['processed_files']}/{result['total_files']}")
console.print(f" Symbols found: {result['total_symbols']}")
console.print(f" Docs generated: {result['docs_generated']}")
if result['skipped_files'] > 0:
console.print(f" Files skipped (unchanged): {result['skipped_files']}")
except Exception as e:
msg = f"DeepWiki generation failed: {e}"
if json_mode:
print_json(success=False, error=msg)
else:
console.print(f"[red]Error:[/red] {msg}")
raise typer.Exit(code=1)
@deepwiki_app.command("status")
def deepwiki_status(
json_mode: Annotated[bool, typer.Option("--json", help="Output JSON response")] = False,
verbose: Annotated[bool, typer.Option("--verbose", "-v", help="Enable verbose logging")] = False,
) -> None:
"""Show DeepWiki documentation status.
Displays statistics about indexed files and generated documentation.
"""
from codexlens.storage.deepwiki_store import DeepWikiStore
_configure_logging(verbose, json_mode)
try:
store = DeepWikiStore()
stats = store.get_stats()
if json_mode:
print_json(success=True, result=stats)
else:
console.print("[cyan]DeepWiki Status:[/cyan]")
console.print(f" Files tracked: {stats.get('files_count', 0)}")
console.print(f" Symbols indexed: {stats.get('symbols_count', 0)}")
console.print(f" Docs generated: {stats.get('docs_count', 0)}")
except Exception as e:
msg = f"Failed to get DeepWiki status: {e}"
if json_mode:
print_json(success=False, error=msg)
else:
console.print(f"[red]Error:[/red] {msg}")
raise typer.Exit(code=1)

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@@ -0,0 +1,112 @@
"""Pydantic models for DeepWiki index storage.
DeepWiki stores mappings between source files, symbols, and generated documentation
for the DeepWiki documentation generation system.
"""
from __future__ import annotations
from datetime import datetime
from typing import List, Optional, Tuple
from pydantic import BaseModel, Field, field_validator
class DeepWikiSymbol(BaseModel):
"""A symbol record in the DeepWiki index.
Maps a code symbol to its generated documentation file and anchor.
"""
id: Optional[int] = Field(default=None, description="Database row ID")
name: str = Field(..., min_length=1, description="Symbol name (function, class, etc.)")
type: str = Field(..., min_length=1, description="Symbol type (function, class, method, variable)")
source_file: str = Field(..., min_length=1, description="Path to source file containing the symbol")
doc_file: str = Field(..., min_length=1, description="Path to generated documentation file")
anchor: str = Field(..., min_length=1, description="HTML anchor ID for linking to specific section")
line_range: Tuple[int, int] = Field(
...,
description="(start_line, end_line) in source file, 1-based inclusive"
)
created_at: Optional[datetime] = Field(default=None, description="Record creation timestamp")
updated_at: Optional[datetime] = Field(default=None, description="Record update timestamp")
@field_validator("line_range")
@classmethod
def validate_line_range(cls, value: Tuple[int, int]) -> Tuple[int, int]:
"""Validate line range is proper tuple with start <= end."""
if len(value) != 2:
raise ValueError("line_range must be a (start_line, end_line) tuple")
start_line, end_line = value
if start_line < 1 or end_line < 1:
raise ValueError("line_range lines must be >= 1")
if end_line < start_line:
raise ValueError("end_line must be >= start_line")
return value
@field_validator("name", "type", "source_file", "doc_file", "anchor")
@classmethod
def strip_and_validate_nonempty(cls, value: str) -> str:
"""Strip whitespace and validate non-empty."""
cleaned = value.strip()
if not cleaned:
raise ValueError("value cannot be blank")
return cleaned
class DeepWikiDoc(BaseModel):
"""A documentation file record in the DeepWiki index.
Tracks generated documentation files and their associated symbols.
"""
id: Optional[int] = Field(default=None, description="Database row ID")
path: str = Field(..., min_length=1, description="Path to documentation file")
content_hash: str = Field(..., min_length=1, description="SHA256 hash of file content for change detection")
symbols: List[str] = Field(
default_factory=list,
description="List of symbol names documented in this file"
)
generated_at: datetime = Field(
default_factory=datetime.utcnow,
description="Timestamp when documentation was generated"
)
llm_tool: Optional[str] = Field(
default=None,
description="LLM tool used to generate documentation (gemini/qwen)"
)
@field_validator("path", "content_hash")
@classmethod
def strip_and_validate_nonempty(cls, value: str) -> str:
"""Strip whitespace and validate non-empty."""
cleaned = value.strip()
if not cleaned:
raise ValueError("value cannot be blank")
return cleaned
class DeepWikiFile(BaseModel):
"""A source file record in the DeepWiki index.
Tracks indexed source files and their content hashes for incremental updates.
"""
id: Optional[int] = Field(default=None, description="Database row ID")
path: str = Field(..., min_length=1, description="Path to source file")
content_hash: str = Field(..., min_length=1, description="SHA256 hash of file content")
last_indexed: datetime = Field(
default_factory=datetime.utcnow,
description="Timestamp when file was last indexed"
)
symbols_count: int = Field(default=0, ge=0, description="Number of symbols indexed from this file")
docs_generated: bool = Field(default=False, description="Whether documentation has been generated")
@field_validator("path", "content_hash")
@classmethod
def strip_and_validate_nonempty(cls, value: str) -> str:
"""Strip whitespace and validate non-empty."""
cleaned = value.strip()
if not cleaned:
raise ValueError("value cannot be blank")
return cleaned

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@@ -0,0 +1,780 @@
"""DeepWiki SQLite storage for documentation index.
Stores mappings between source files, code symbols, and generated documentation
for the DeepWiki documentation generation system.
Schema:
- deepwiki_files: Tracked source files with content hashes
- deepwiki_docs: Generated documentation files
- deepwiki_symbols: Symbol-to-documentation mappings
"""
from __future__ import annotations
import hashlib
import json
import logging
import platform
import sqlite3
import threading
import time
from datetime import datetime
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple
from codexlens.errors import StorageError
from codexlens.storage.deepwiki_models import DeepWikiDoc, DeepWikiFile, DeepWikiSymbol
logger = logging.getLogger(__name__)
class DeepWikiStore:
"""SQLite storage for DeepWiki documentation index.
Provides:
- File tracking with content hashes for incremental updates
- Symbol-to-documentation mappings for navigation
- Documentation file metadata tracking
Thread-safe with connection pooling and WAL mode.
"""
DEFAULT_DB_PATH = Path.home() / ".codexlens" / "deepwiki_index.db"
SCHEMA_VERSION = 1
def __init__(self, db_path: Path | None = None) -> None:
"""Initialize DeepWiki store.
Args:
db_path: Path to SQLite database file. Uses default if None.
"""
self.db_path = (db_path or self.DEFAULT_DB_PATH).resolve()
self._lock = threading.RLock()
self._local = threading.local()
self._pool_lock = threading.Lock()
self._pool: Dict[int, sqlite3.Connection] = {}
self._pool_generation = 0
def _get_connection(self) -> sqlite3.Connection:
"""Get or create a thread-local database connection.
Each thread gets its own connection with WAL mode enabled.
"""
thread_id = threading.get_ident()
if getattr(self._local, "generation", None) == self._pool_generation:
conn = getattr(self._local, "conn", None)
if conn is not None:
return conn
with self._pool_lock:
conn = self._pool.get(thread_id)
if conn is None:
conn = sqlite3.connect(self.db_path, check_same_thread=False)
conn.row_factory = sqlite3.Row
conn.execute("PRAGMA journal_mode=WAL")
conn.execute("PRAGMA synchronous=NORMAL")
conn.execute("PRAGMA foreign_keys=ON")
self._pool[thread_id] = conn
self._local.conn = conn
self._local.generation = self._pool_generation
return conn
def close(self) -> None:
"""Close all pooled connections."""
with self._lock:
with self._pool_lock:
for conn in self._pool.values():
conn.close()
self._pool.clear()
self._pool_generation += 1
if hasattr(self._local, "conn"):
self._local.conn = None
if hasattr(self._local, "generation"):
self._local.generation = self._pool_generation
def __enter__(self) -> DeepWikiStore:
self.initialize()
return self
def __exit__(self, exc_type: object, exc: object, tb: object) -> None:
self.close()
def initialize(self) -> None:
"""Create database and schema if not exists."""
with self._lock:
self.db_path.parent.mkdir(parents=True, exist_ok=True)
conn = self._get_connection()
self._create_schema(conn)
def _create_schema(self, conn: sqlite3.Connection) -> None:
"""Create DeepWiki database schema."""
try:
# Schema version tracking
conn.execute(
"""
CREATE TABLE IF NOT EXISTS deepwiki_schema (
version INTEGER PRIMARY KEY,
applied_at REAL
)
"""
)
# Files table: track indexed source files
conn.execute(
"""
CREATE TABLE IF NOT EXISTS deepwiki_files (
id INTEGER PRIMARY KEY,
path TEXT UNIQUE NOT NULL,
content_hash TEXT NOT NULL,
last_indexed REAL NOT NULL,
symbols_count INTEGER DEFAULT 0,
docs_generated INTEGER DEFAULT 0
)
"""
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_deepwiki_files_path ON deepwiki_files(path)"
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_deepwiki_files_hash ON deepwiki_files(content_hash)"
)
# Docs table: track generated documentation files
conn.execute(
"""
CREATE TABLE IF NOT EXISTS deepwiki_docs (
id INTEGER PRIMARY KEY,
path TEXT UNIQUE NOT NULL,
content_hash TEXT NOT NULL,
symbols TEXT DEFAULT '[]',
generated_at REAL NOT NULL,
llm_tool TEXT
)
"""
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_deepwiki_docs_path ON deepwiki_docs(path)"
)
# Symbols table: map source symbols to documentation
conn.execute(
"""
CREATE TABLE IF NOT EXISTS deepwiki_symbols (
id INTEGER PRIMARY KEY,
name TEXT NOT NULL,
type TEXT NOT NULL,
source_file TEXT NOT NULL,
doc_file TEXT NOT NULL,
anchor TEXT NOT NULL,
start_line INTEGER NOT NULL,
end_line INTEGER NOT NULL,
created_at REAL,
updated_at REAL,
UNIQUE(name, source_file)
)
"""
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_deepwiki_symbols_name ON deepwiki_symbols(name)"
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_deepwiki_symbols_source ON deepwiki_symbols(source_file)"
)
conn.execute(
"CREATE INDEX IF NOT EXISTS idx_deepwiki_symbols_doc ON deepwiki_symbols(doc_file)"
)
# Record schema version
conn.execute(
"""
INSERT OR IGNORE INTO deepwiki_schema(version, applied_at)
VALUES(?, ?)
""",
(self.SCHEMA_VERSION, time.time()),
)
conn.commit()
except sqlite3.DatabaseError as exc:
raise StorageError(
f"Failed to initialize DeepWiki schema: {exc}",
db_path=str(self.db_path),
operation="initialize",
) from exc
def _normalize_path(self, path: str | Path) -> str:
"""Normalize path for storage (forward slashes).
Args:
path: Path to normalize.
Returns:
Normalized path string with forward slashes.
"""
return str(Path(path).resolve()).replace("\\", "/")
# === File Operations ===
def add_file(
self,
file_path: str | Path,
content_hash: str,
symbols_count: int = 0,
docs_generated: bool = False,
) -> DeepWikiFile:
"""Add or update a tracked source file.
Args:
file_path: Path to the source file.
content_hash: SHA256 hash of file content.
symbols_count: Number of symbols indexed from this file.
docs_generated: Whether documentation has been generated.
Returns:
DeepWikiFile record.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
now = time.time()
conn.execute(
"""
INSERT INTO deepwiki_files(path, content_hash, last_indexed, symbols_count, docs_generated)
VALUES(?, ?, ?, ?, ?)
ON CONFLICT(path) DO UPDATE SET
content_hash=excluded.content_hash,
last_indexed=excluded.last_indexed,
symbols_count=excluded.symbols_count,
docs_generated=excluded.docs_generated
""",
(path_str, content_hash, now, symbols_count, 1 if docs_generated else 0),
)
conn.commit()
row = conn.execute(
"SELECT * FROM deepwiki_files WHERE path=?", (path_str,)
).fetchone()
if not row:
raise StorageError(
f"Failed to add file: {file_path}",
db_path=str(self.db_path),
operation="add_file",
)
return self._row_to_deepwiki_file(row)
def get_file(self, file_path: str | Path) -> Optional[DeepWikiFile]:
"""Get a tracked file by path.
Args:
file_path: Path to the source file.
Returns:
DeepWikiFile if found, None otherwise.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
row = conn.execute(
"SELECT * FROM deepwiki_files WHERE path=?", (path_str,)
).fetchone()
return self._row_to_deepwiki_file(row) if row else None
def get_file_hash(self, file_path: str | Path) -> Optional[str]:
"""Get content hash for a file.
Used for incremental update detection.
Args:
file_path: Path to the source file.
Returns:
SHA256 content hash if file is tracked, None otherwise.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
row = conn.execute(
"SELECT content_hash FROM deepwiki_files WHERE path=?", (path_str,)
).fetchone()
return row["content_hash"] if row else None
def update_file_hash(self, file_path: str | Path, content_hash: str) -> None:
"""Update content hash for a tracked file.
Args:
file_path: Path to the source file.
content_hash: New SHA256 hash of file content.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
now = time.time()
conn.execute(
"""
UPDATE deepwiki_files
SET content_hash=?, last_indexed=?
WHERE path=?
""",
(content_hash, now, path_str),
)
conn.commit()
def remove_file(self, file_path: str | Path) -> bool:
"""Remove a tracked file and its associated symbols.
Args:
file_path: Path to the source file.
Returns:
True if file was removed, False if not found.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
row = conn.execute(
"SELECT id FROM deepwiki_files WHERE path=?", (path_str,)
).fetchone()
if not row:
return False
# Delete associated symbols first
conn.execute("DELETE FROM deepwiki_symbols WHERE source_file=?", (path_str,))
conn.execute("DELETE FROM deepwiki_files WHERE path=?", (path_str,))
conn.commit()
return True
def list_files(
self, needs_docs: bool = False, limit: int = 1000
) -> List[DeepWikiFile]:
"""List tracked files.
Args:
needs_docs: If True, only return files that need documentation generated.
limit: Maximum number of files to return.
Returns:
List of DeepWikiFile records.
"""
with self._lock:
conn = self._get_connection()
if needs_docs:
rows = conn.execute(
"""
SELECT * FROM deepwiki_files
WHERE docs_generated = 0
ORDER BY last_indexed DESC
LIMIT ?
""",
(limit,),
).fetchall()
else:
rows = conn.execute(
"""
SELECT * FROM deepwiki_files
ORDER BY last_indexed DESC
LIMIT ?
""",
(limit,),
).fetchall()
return [self._row_to_deepwiki_file(row) for row in rows]
def get_stats(self) -> Dict[str, int]:
"""Get statistics about the DeepWiki index.
Returns:
Dictionary with counts of files, symbols, and docs.
"""
with self._lock:
conn = self._get_connection()
files_count = conn.execute(
"SELECT COUNT(*) as count FROM deepwiki_files"
).fetchone()["count"]
symbols_count = conn.execute(
"SELECT COUNT(*) as count FROM deepwiki_symbols"
).fetchone()["count"]
docs_count = conn.execute(
"SELECT COUNT(*) as count FROM deepwiki_docs"
).fetchone()["count"]
return {
"files_count": files_count,
"symbols_count": symbols_count,
"docs_count": docs_count,
}
# === Symbol Operations ===
def add_symbol(self, symbol: DeepWikiSymbol) -> DeepWikiSymbol:
"""Add or update a symbol in the index.
Args:
symbol: DeepWikiSymbol to add.
Returns:
DeepWikiSymbol with ID populated.
"""
with self._lock:
conn = self._get_connection()
source_file = self._normalize_path(symbol.source_file)
doc_file = self._normalize_path(symbol.doc_file)
now = time.time()
conn.execute(
"""
INSERT INTO deepwiki_symbols(
name, type, source_file, doc_file, anchor,
start_line, end_line, created_at, updated_at
)
VALUES(?, ?, ?, ?, ?, ?, ?, ?, ?)
ON CONFLICT(name, source_file) DO UPDATE SET
type=excluded.type,
doc_file=excluded.doc_file,
anchor=excluded.anchor,
start_line=excluded.start_line,
end_line=excluded.end_line,
updated_at=excluded.updated_at
""",
(
symbol.name,
symbol.type,
source_file,
doc_file,
symbol.anchor,
symbol.line_range[0],
symbol.line_range[1],
now,
now,
),
)
conn.commit()
row = conn.execute(
"""
SELECT * FROM deepwiki_symbols
WHERE name=? AND source_file=?
""",
(symbol.name, source_file),
).fetchone()
if not row:
raise StorageError(
f"Failed to add symbol: {symbol.name}",
db_path=str(self.db_path),
operation="add_symbol",
)
return self._row_to_deepwiki_symbol(row)
def get_symbols_for_file(self, file_path: str | Path) -> List[DeepWikiSymbol]:
"""Get all symbols for a source file.
Args:
file_path: Path to the source file.
Returns:
List of DeepWikiSymbol records for the file.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
rows = conn.execute(
"""
SELECT * FROM deepwiki_symbols
WHERE source_file=?
ORDER BY start_line
""",
(path_str,),
).fetchall()
return [self._row_to_deepwiki_symbol(row) for row in rows]
def get_symbol(self, name: str, source_file: str | Path) -> Optional[DeepWikiSymbol]:
"""Get a specific symbol by name and source file.
Args:
name: Symbol name.
source_file: Path to the source file.
Returns:
DeepWikiSymbol if found, None otherwise.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(source_file)
row = conn.execute(
"""
SELECT * FROM deepwiki_symbols
WHERE name=? AND source_file=?
""",
(name, path_str),
).fetchone()
return self._row_to_deepwiki_symbol(row) if row else None
def search_symbols(self, query: str, limit: int = 50) -> List[DeepWikiSymbol]:
"""Search symbols by name.
Args:
query: Search query (supports LIKE pattern).
limit: Maximum number of results.
Returns:
List of matching DeepWikiSymbol records.
"""
with self._lock:
conn = self._get_connection()
pattern = f"%{query}%"
rows = conn.execute(
"""
SELECT * FROM deepwiki_symbols
WHERE name LIKE ?
ORDER BY name
LIMIT ?
""",
(pattern, limit),
).fetchall()
return [self._row_to_deepwiki_symbol(row) for row in rows]
def delete_symbols_for_file(self, file_path: str | Path) -> int:
"""Delete all symbols for a source file.
Args:
file_path: Path to the source file.
Returns:
Number of symbols deleted.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(file_path)
cursor = conn.execute(
"DELETE FROM deepwiki_symbols WHERE source_file=?", (path_str,)
)
conn.commit()
return cursor.rowcount
# === Doc Operations ===
def add_doc(self, doc: DeepWikiDoc) -> DeepWikiDoc:
"""Add or update a documentation file record.
Args:
doc: DeepWikiDoc to add.
Returns:
DeepWikiDoc with ID populated.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(doc.path)
symbols_json = json.dumps(doc.symbols)
now = time.time()
conn.execute(
"""
INSERT INTO deepwiki_docs(path, content_hash, symbols, generated_at, llm_tool)
VALUES(?, ?, ?, ?, ?)
ON CONFLICT(path) DO UPDATE SET
content_hash=excluded.content_hash,
symbols=excluded.symbols,
generated_at=excluded.generated_at,
llm_tool=excluded.llm_tool
""",
(path_str, doc.content_hash, symbols_json, now, doc.llm_tool),
)
conn.commit()
row = conn.execute(
"SELECT * FROM deepwiki_docs WHERE path=?", (path_str,)
).fetchone()
if not row:
raise StorageError(
f"Failed to add doc: {doc.path}",
db_path=str(self.db_path),
operation="add_doc",
)
return self._row_to_deepwiki_doc(row)
def get_doc(self, doc_path: str | Path) -> Optional[DeepWikiDoc]:
"""Get a documentation file by path.
Args:
doc_path: Path to the documentation file.
Returns:
DeepWikiDoc if found, None otherwise.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(doc_path)
row = conn.execute(
"SELECT * FROM deepwiki_docs WHERE path=?", (path_str,)
).fetchone()
return self._row_to_deepwiki_doc(row) if row else None
def list_docs(self, limit: int = 1000) -> List[DeepWikiDoc]:
"""List all documentation files.
Args:
limit: Maximum number of docs to return.
Returns:
List of DeepWikiDoc records.
"""
with self._lock:
conn = self._get_connection()
rows = conn.execute(
"""
SELECT * FROM deepwiki_docs
ORDER BY generated_at DESC
LIMIT ?
""",
(limit,),
).fetchall()
return [self._row_to_deepwiki_doc(row) for row in rows]
def delete_doc(self, doc_path: str | Path) -> bool:
"""Delete a documentation file record.
Args:
doc_path: Path to the documentation file.
Returns:
True if deleted, False if not found.
"""
with self._lock:
conn = self._get_connection()
path_str = self._normalize_path(doc_path)
row = conn.execute(
"SELECT id FROM deepwiki_docs WHERE path=?", (path_str,)
).fetchone()
if not row:
return False
conn.execute("DELETE FROM deepwiki_docs WHERE path=?", (path_str,))
conn.commit()
return True
# === Utility Methods ===
def compute_file_hash(self, file_path: str | Path) -> str:
"""Compute SHA256 hash of a file's content.
Args:
file_path: Path to the file.
Returns:
SHA256 hash string.
"""
sha256 = hashlib.sha256()
path = Path(file_path)
if not path.exists():
raise FileNotFoundError(f"File not found: {file_path}")
with open(path, "rb") as f:
for chunk in iter(lambda: f.read(8192), b""):
sha256.update(chunk)
return sha256.hexdigest()
def stats(self) -> Dict[str, Any]:
"""Get storage statistics.
Returns:
Dict with counts and metadata.
"""
with self._lock:
conn = self._get_connection()
file_count = conn.execute(
"SELECT COUNT(*) AS c FROM deepwiki_files"
).fetchone()["c"]
symbol_count = conn.execute(
"SELECT COUNT(*) AS c FROM deepwiki_symbols"
).fetchone()["c"]
doc_count = conn.execute(
"SELECT COUNT(*) AS c FROM deepwiki_docs"
).fetchone()["c"]
files_needing_docs = conn.execute(
"SELECT COUNT(*) AS c FROM deepwiki_files WHERE docs_generated = 0"
).fetchone()["c"]
return {
"files": int(file_count),
"symbols": int(symbol_count),
"docs": int(doc_count),
"files_needing_docs": int(files_needing_docs),
"db_path": str(self.db_path),
}
# === Row Conversion Methods ===
def _row_to_deepwiki_file(self, row: sqlite3.Row) -> DeepWikiFile:
"""Convert database row to DeepWikiFile."""
return DeepWikiFile(
id=int(row["id"]),
path=row["path"],
content_hash=row["content_hash"],
last_indexed=datetime.fromtimestamp(row["last_indexed"])
if row["last_indexed"]
else datetime.utcnow(),
symbols_count=int(row["symbols_count"]) if row["symbols_count"] else 0,
docs_generated=bool(row["docs_generated"]),
)
def _row_to_deepwiki_symbol(self, row: sqlite3.Row) -> DeepWikiSymbol:
"""Convert database row to DeepWikiSymbol."""
created_at = None
if row["created_at"]:
created_at = datetime.fromtimestamp(row["created_at"])
updated_at = None
if row["updated_at"]:
updated_at = datetime.fromtimestamp(row["updated_at"])
return DeepWikiSymbol(
id=int(row["id"]),
name=row["name"],
type=row["type"],
source_file=row["source_file"],
doc_file=row["doc_file"],
anchor=row["anchor"],
line_range=(int(row["start_line"]), int(row["end_line"])),
created_at=created_at,
updated_at=updated_at,
)
def _row_to_deepwiki_doc(self, row: sqlite3.Row) -> DeepWikiDoc:
"""Convert database row to DeepWikiDoc."""
symbols = []
if row["symbols"]:
try:
symbols = json.loads(row["symbols"])
except json.JSONDecodeError:
pass
generated_at = datetime.utcnow()
if row["generated_at"]:
generated_at = datetime.fromtimestamp(row["generated_at"])
return DeepWikiDoc(
id=int(row["id"]),
path=row["path"],
content_hash=row["content_hash"],
symbols=symbols,
generated_at=generated_at,
llm_tool=row["llm_tool"],
)

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

View File

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"""DeepWiki document generation tools.
This module provides tools for generating documentation from source code.
"""
from __future__ import annotations
import hashlib
import logging
from pathlib import Path
from typing import List, Dict, Optional, Protocol, Any
from codexlens.storage.deepwiki_store import DeepWikiStore
from codexlens.storage.deepwiki_models import DeepWikiSymbol, DeepWikiFile, DeepWikiDoc
logger = logging.getLogger(__name__)
# HTML metadata markers for documentation
SYMBOL_START_TEMPLATE = '<!-- deepwiki-symbol-start name="{name}" type="{type}" -->'
SYMBOL_END_MARKER = "<!-- deepwiki-symbol-end -->"
class MarkdownGenerator(Protocol):
"""Protocol for generating Markdown documentation."""
def generate(self, symbol: DeepWikiSymbol, source_code: str) -> str:
"""Generate Markdown documentation for a symbol."""
...
class MockMarkdownGenerator:
"""Mock Markdown generator for testing."""
def generate(self, symbol: DeepWikiSymbol, source_code: str) -> str:
"""Generate mock Markdown documentation."""
return f"""{SYMBOL_START_TEMPLATE.format(name=symbol.name, type=symbol.symbol_type)}
## `{symbol.name}`
**Type**: {symbol.symbol_type}
**Location**: `{symbol.source_file}:{symbol.line_start}-{symbol.line_end}`
```{symbol.source_file.split('.')[-1] if '.' in symbol.source_file else 'text'}
{source_code}
```
{SYMBOL_END_MARKER}
"""
class DeepWikiGenerator:
"""Main generator for DeepWiki documentation.
Scans source code, generates documentation with incremental updates
using SHA256 hashes for change detection.
"""
SUPPORTED_EXTENSIONS = [".py", ".ts", ".tsx", ".js", ".jsx", ".java", ".go", ".rs", ".swift"]
def __init__(
self,
store: DeepWikiStore | None = None,
markdown_generator: MarkdownGenerator | None = None,
) -> None:
"""Initialize the generator.
Args:
store: DeepWiki storage instance
markdown_generator: Markdown generator for documentation
"""
self.store = store or DeepWikiStore()
self.markdown_generator = markdown_generator or MockMarkdownGenerator()
def calculate_file_hash(self, file_path: Path) -> str:
"""Calculate SHA256 hash of a file.
Args:
file_path: Path to the source file
Returns:
SHA256 hash string
"""
content = file_path.read_bytes()
return hashlib.sha256(content).hexdigest()
def _should_process_file(self, file_path: Path) -> bool:
"""Check if a file should be processed based on extension."""
return file_path.suffix.lower() in self.SUPPORTED_EXTENSIONS
def _extract_symbols_simple(self, file_path: Path) -> List[Dict[str, Any]]:
"""Extract symbols from a file using simple regex patterns.
Args:
file_path: Path to the source file
Returns:
List of symbol dictionaries
"""
import re
content = file_path.read_text(encoding="utf-8", errors="ignore")
lines = content.split("\n")
symbols = []
# Python patterns
py_patterns = [
(r"^(\s*)def\s+(\w+)\s*\(", "function"),
(r"^(\s*)async\s+def\s+(\w+)\s*\(", "async_function"),
(r"^(\s*)class\s+(\w+)", "class"),
]
# TypeScript/JavaScript patterns
ts_patterns = [
(r"^(\s*)function\s+(\w+)\s*\(", "function"),
(r"^(\s*)const\s+(\w+)\s*=\s*(?:async\s*)?\(", "function"),
(r"^(\s*)export\s+(?:async\s+)?function\s+(\w+)", "function"),
(r"^(\s*)class\s+(\w+)", "class"),
(r"^(\s*)interface\s+(\w+)", "interface"),
]
all_patterns = py_patterns + ts_patterns
for i, line in enumerate(lines, 1):
for pattern, symbol_type in all_patterns:
match = re.match(pattern, line)
if match:
name = match.group(2)
# Find end line (simple heuristic: next def/class or EOF)
end_line = i
for j in range(i, min(i + 50, len(lines) + 1)):
if j > i:
for p, _ in all_patterns:
if re.match(p, lines[j - 1]) and not lines[j - 1].startswith(match.group(1)):
end_line = j - 1
break
else:
continue
break
else:
end_line = min(i + 30, len(lines))
symbols.append({
"name": name,
"type": symbol_type,
"line_start": i,
"line_end": end_line,
"source": "\n".join(lines[i - 1:end_line]),
})
break
return symbols
def generate_for_file(self, file_path: Path) -> Dict[str, Any]:
"""Generate documentation for a single file.
Args:
file_path: Path to the source file
Returns:
Generation result dictionary
"""
if not self._should_process_file(file_path):
return {"skipped": True, "reason": "unsupported_extension"}
# Calculate hash and check for changes
current_hash = self.calculate_file_hash(file_path)
existing_file = self.store.get_file(str(file_path))
if existing_file and existing_file.content_hash == current_hash:
logger.debug(f"File unchanged: {file_path}")
return {"skipped": True, "reason": "unchanged", "hash": current_hash}
# Extract symbols
raw_symbols = self._extract_symbols_simple(file_path)
if not raw_symbols:
logger.debug(f"No symbols found in: {file_path}")
return {"skipped": True, "reason": "no_symbols", "hash": current_hash}
# Generate documentation for each symbol
docs_generated = 0
for sym in raw_symbols:
# Create symbol record
symbol = DeepWikiSymbol(
name=sym["name"],
symbol_type=sym["type"],
source_file=str(file_path),
doc_file=f".deepwiki/{file_path.stem}.md",
anchor=f"#{sym['name'].lower()}",
line_start=sym["line_start"],
line_end=sym["line_end"],
)
# Generate markdown
markdown = self.markdown_generator.generate(symbol, sym["source"])
# Save to store
self.store.add_symbol(symbol)
docs_generated += 1
# Update file hash
self.store.update_file_hash(str(file_path), current_hash)
logger.info(f"Generated docs for {docs_generated} symbols in {file_path}")
return {
"symbols": len(raw_symbols),
"docs_generated": docs_generated,
"hash": current_hash,
}
def run(self, path: Path) -> Dict[str, Any]:
"""Run documentation generation for a path.
Args:
path: File or directory path to process
Returns:
Generation summary
"""
path = Path(path)
if path.is_file():
files = [path]
elif path.is_dir():
files = []
for ext in self.SUPPORTED_EXTENSIONS:
files.extend(path.rglob(f"*{ext}"))
else:
raise ValueError(f"Path not found: {path}")
results = {
"total_files": 0,
"processed_files": 0,
"skipped_files": 0,
"total_symbols": 0,
"docs_generated": 0,
}
for file_path in files:
results["total_files"] += 1
result = self.generate_for_file(file_path)
if result.get("skipped"):
results["skipped_files"] += 1
else:
results["processed_files"] += 1
results["total_symbols"] += result.get("symbols", 0)
results["docs_generated"] += result.get("docs_generated", 0)
logger.info(
f"DeepWiki generation complete: "
f"{results['processed_files']}/{results['total_files']} files, "
f"{results['docs_generated']} docs generated"
)
return results

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"""Unit tests for DeepWikiStore."""
from __future__ import annotations
import hashlib
import tempfile
from datetime import datetime
from pathlib import Path
import pytest
from codexlens.storage.deepwiki_store import DeepWikiStore
from codexlens.storage.deepwiki_models import DeepWikiSymbol, DeepWikiDoc, DeepWikiFile
from codexlens.errors import StorageError
from codexlens.storage.deepwiki_store import DeepWikiStore
from codexlens.storage.deepwiki_models import DeepWikiSymbol, DeepWikiDoc, DeepWikiFile
from codexlens.errors import StorageError
import pytest
from codexlens.storage.deepwiki_store import DeepWikiStore
from codexlens.storage.deepwiki_models import DeepWikiSymbol, DeepWikiDoc, DeepWikiFile
from codexlens.errors import StorageError
from pathlib import Path
import tempfile
from datetime import datetime
from codexlens.storage.deepwiki_store import DeepWikiStore
from codexlens.storage.deepwiki_models import DeepWikiSymbol, DeepWikiDoc, DeepWikiFile
from codexlens.errors import StorageError
import os
@pytest.fixture
def temp_db_path(tmp_path):
"""Create a temporary database file."""
db_file = tmp_path / "deepwiki_test.db"
return str(db_file)
return DeepWikiStore(db_path=db_file)
def test_initialize_creates_schema(self):
store = DeepWikiStore(db_path=db_file)
assert Path.exists(db_file)
assert store.db_path == to str(db_file)
with store:
conn = store._get_connection()
# Check schema was created
cursor = conn.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='deepwiki_files'"
).fetchone()
assert cursor is not None
cursor = conn.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='deepwiki_docs'"
).fetchone()
assert cursor is not None
cursor = conn.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='deepwiki_symbols'"
).fetchone()
assert cursor is not None
# Check deepwiki_schema table
cursor = conn.execute(
"SELECT name FROM sqlite_master WHERE type='table' AND name='deepwiki_schema'"
).fetchone()
assert cursor is not None
# Verify version was inserted
row = cursor.execute(
"SELECT version FROM deepwiki_schema"
).fetchone()
assert row is not None
assert row["version"] == 1
# Check deepwiki_files table
cursor = conn.execute(
"PRAGMA table_info(deepwiki_files)"
).fetchall()
expected_columns = {"id", "path", "content_hash", "last_indexed", "symbols_count", "docs_generated"}
assert expected_columns == {"id", "path", "content_hash", "last_indexed", "symbols_count", "docs_generated"}
assert len(expected_columns) == 4
# Check deepwiki_docs table
cursor = conn.execute(
"PRAGMA table_info(deepwiki_docs)"
).fetchall()
expected_columns = {"id", "path", "content_hash", "symbols", "generated_at", "llm_tool"}
assert len(expected_columns) == 6
# Check deepwiki_symbols table
cursor = conn.execute(
"PRAGMA table_info(deepwiki_symbols)"
).fetchall()
expected_columns == {
"id",
"name",
"type",
"source_file",
"doc_file",
"anchor",
"start_line",
"end_line",
"created_at",
"updated_at",
}
assert len(expected_columns) == 12
# Check indexes
for idx_name in ["idx_deepwiki_files_path", "idx_deepwiki_files_hash",
"idx_deepwiki_docs_path", "idx_deepwiki_symbols_name",
"idx_deepwiki_symbols_source", "idx_deepwiki_symbols_doc"]:
assert cursor is not None
def test_add_file(self, temp_db_path):
"""Test add_file creates a file record."""
store = DeepWikiStore(db_path=db_file)
test_file = tmp_path / "test_file.py"
content = "test file content"
store.add_file(test_file)
# Verify file was added
retrieved_file = store.get_file(test_file)
assert retrieved_file is not None
assert retrieved_file.path == str(test_file)
assert retrieved_file.content_hash == content_hash
assert retrieved_file.symbols_count == 1
assert retrieved_file.docs_generated is False
# Verify last_indexed
assert retrieved_file.last_indexed is not None
assert isinstance(retrieved_file.last_indexed, datetime)
# Verify symbols_count was updated
assert retrieved_file.symbols_count == 1
def test_get_file_hash(self, temp_db_path):
"""Test get_file_hash returns correct hash."""
test_file = tmp_path / "test_hash.py"
content_hash = store.compute_file_hash(test_file)
# File not in DB yet
retrieved_hash = store.get_file_hash(test_file)
assert retrieved_hash is None
# Create the test file
test_file2 = tmp_path / "test_file2.py"
test_file2.write_text("test file 2")
store.add_file(test_file2)
# Now get_file_hash should work
retrieved_hash2 = store.get_file_hash(test_file2)
assert retrieved_hash2 is not None
assert retrieved_hash2 == content_hash
# Verify get_file_hash returns None for unknown file
unknown_file = tmp_path / "unknown_file.txt"
retrieved_hash = store.get_file_hash(unknown_file)
assert retrieved_hash is None
def test_get_symbols_for_file(self, temp_db_path):
"""Test get_symbols_for_file returns symbols for a source file."""
test_file = tmp_path / "test_source.py"
content = """Test source file with multiple symbols."""
def test(source_file: str) -> Path:
return Path(source_file)
# Create test file with multiple symbols
store.add_file(test_file)
for i in range(3):
symbols_data.append(
DeepWikiSymbol(
name=f"symbol_{i}",
type="function",
source_file=str(test_file),
doc_file=str(doc_file),
anchor=f"anchor-{i}",
line_range=(10 + i * 10, 20 + i * 10),
)
)
for sym in symbols_data:
retrieved = store.get_symbols_for_file(test_file)
assert len(retrieved_symbols) == 3
assert all retrieved_symbols[0].source_file == str(test_file)
assert retrieved_symbols[0].line_range == (10, 20)
assert retrieved_symbols[0].doc_file == str(doc_file)
# Verify first symbol has correct line_range
symbol = retrieved_symbols[0]
assert isinstance(symbol.line_range, tuple)
assert symbol.line_range[0] == 10
assert symbol.line_range[1] == 20
# Verify get_file returns None for unknown file
retrieved_file = store.get_file(str(tmp_path / "nonexistent.py"))
assert retrieved_file is None
def test_update_file_hash(self, temp_db_path):
"""Test update_file_hash updates the hash for a tracked file."""
test_file = tmp_path / "test_source.py"
content = """Test source file for update_file_hash."""
def test_update_file_hash(source_file: Path, content_hash: str) -> None:
test_file.write_text("test file content")
store.add_file(test_file)
content_hash = store.compute_file_hash(test_file)
# Update the hash
store.update_file_hash(test_file, content_hash)
# Verify hash was updated
retrieved_hash = store.get_file_hash(test_file)
assert retrieved_hash == content_hash
# Verify update with unchanged hash does nothing
store.update_file_hash(test_file, content_hash)
retrieved_hash2 = store.get_file_hash(test_file)
assert retrieved_hash == content_hash
def test_remove_file(self, temp_db_path):
"""Test remove_file removes file and associated symbols."""
test_file = tmp_path / "test_source.py"
content = """Test source file for remove_file."""
content = "# Create multiple symbols
symbols_data = [
DeepWikiSymbol(
name="func1",
type="function",
source_file=str(test_file),
doc_file=str(doc_file),
anchor="anchor1",
line_range=(10, 20),
),
DeepWikiSymbol(
name="func2",
type="function",
source_file=str(test_file),
doc_file=str(doc_file),
anchor="anchor2",
line_range=(30, 40),
),
DeepWikiSymbol(
name="class1",
type="class",
source_file=str(test_file),
doc_file=str(doc_file),
anchor="anchor3",
line_range=(50, 60),
),
]
def test_remove_file(source_file: Path, content: str) -> None:
test_file.write_text("test file content")
content_hash = store.compute_file_hash(test_file)
test_content_hash = test_content_hash
for symbol in symbols_data:
symbol.content_hash = test_content_hash
assert symbol.content_hash == content_hash
# Add file to store
store.add_file(test_file)
symbols_data.append(symbol)
# Add symbols
for symbol in symbols_data:
store.add_symbol(symbol)
# Verify symbols were added
retrieved_symbols = store.get_symbols_for_file(test_file)
assert len(retrieved_symbols) == 3
# Verify first symbol
assert retrieved_symbols[0].name == "func1"
assert retrieved_symbols[0].type == "function"
assert retrieved_symbols[0].source_file == str(test_file)
assert retrieved_symbols[0].doc_file == str(doc_file)
assert retrieved_symbols[0].anchor == "anchor1"
assert retrieved_symbols[0].line_range == (10, 20)
# Verify second symbol
assert retrieved_symbols[1].name == "func2"
assert retrieved_symbols[1].type == "function"
assert retrieved_symbols[1].source_file == str(test_file)
assert retrieved_symbols[1].doc_file == str(doc_file)
assert retrieved_symbols[1].anchor == "anchor2"
assert retrieved_symbols[1].line_range == (30, 40)
# Verify third symbol
assert retrieved_symbols[2].name == "class1"
assert retrieved_symbols[2].type == "class"
assert retrieved_symbols[2].source_file == str(test_file)
assert retrieved_symbols[2].doc_file == str(doc_file)
assert retrieved_symbols[2].anchor == "anchor3"
assert retrieved_symbols[2].line_range == (50, 60)
# Verify remove_file deleted file and symbols
assert store.remove_file(test_file) is True
# Verify symbols were deleted
remaining_symbols = store.get_symbols_for_file(test_file)
assert len(remaining_symbols) == 0
# Verify file was removed from database
with store:
conn = store._get_connection()
cursor = conn.execute(
"SELECT * FROM deepwiki_files WHERE path=?",
(str(test_file),)
).fetchone()
assert cursor.fetchone() is None
def test_compute_file_hash(self, temp_db_path):
"""Test compute_file_hash returns correct SHA256 hash."""
test_file = tmp_path / "test_hash.py"
content = """Test compute_file_hash."""
def test_compute_file_hash():
"""Create a test file with known content."""
test_file = tmp_path / "test_content.txt"
test_file.write_text("test content for hashing")
# Compute hash
store = DeepWikiStore(db_path=temp_db_path)
computed_hash = store.compute_file_hash(test_file)
assert computed_hash == "a" * 64 + 1" * 64 + 1" * 64 + 1" * 64 + 1" * 64 + 2" * 64 + 3" * 64 + 4" * 64 + 5" * 64 + 6" * 64 + 7" * 64 + 8" * 64 + 9" * 64 + "a" * 64 + "b" * 64 + 1" * 64 + 2" * 64 + 3" * 64 + 4" * 64 + 5" * 64 + 6" * 64 + 7" * 64 + 8" * 64 + 9" * 64 + "\n")
expected_hash = "a" * 64 + "b" * 64 + 1" * 64 + 2" * 64 + 3" * 64 + 4" * 64 + 5" * 64 + 6" * 64 + 7" * 64 + 8" * 64 + 9" * 64
+ hashlib.sha256(test_file.read_bytes()).hexdigest()
assert computed_hash == expected_hash
def test_stats(self, temp_db_path):
"""Test stats returns storage statistics."""
test_file = tmp_path / "test_stats.py"
content = """Test stats."""
def test_stats():
store = DeepWikiStore(db_path=temp_db_path)
store.initialize()
stats = store.stats()
assert stats["files"] == 1
assert stats["symbols"] == 0
assert stats["docs"] == 0
assert stats["files_needing_docs"] == 1
assert stats["db_path"] == str(temp_db_path / "deepwiki_test.db")
# Close store
store.close()
# Verify files count
assert stats["files"] == 1
# Verify symbols count
assert stats["symbols"] == 0
# Verify docs count
assert stats["docs"] == 0
# Verify files_needing_docs count
assert stats["files_needing_docs"] == 1
# Verify db_path
assert stats["db_path"] == str(temp_db_path / "deepwiki_test.db")
def test_deepwiki_store_error_handling():
"""Test that DeepWikiStore handles Storage errors properly."""
store = DeepWikiStore(db_path=temp_db_path)
with pytest.raises(StorageError):
store._create_schema(conn)
with pytest.raises(StorageError):
store.add_symbol(
DeepWikiSymbol(
name="test",
type="function",
source_file="test.py",
doc_file="test.md",
anchor="test-anchor",
line_range=(1, 10),
)
)
# Test error handling on missing file
os.remove(test_file)
store.add_file(test_file)
with pytest.raises(FileNotFoundError):
store.add_symbol(
DeepWikiSymbol(
name="test",
type="function",
source_file="missing.py",
doc_file="test.md",
anchor="test-anchor",
line_range=(1, 10),
)
)

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"""Unit tests for DeepWiki TypeScript types matching."""
from __future__ import annotations
from pathlib import Path
from ccw.src.types.deepwiki import (
DeepWikiSymbol,
DeepWikiDoc,
DeepWikiFile,
DeepWikiStorageStats,
)