chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,678 @@
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import os
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import time
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from pathlib import Path
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import aiosqlite
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import asyncio
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from typing import Optional, Dict
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from contextlib import asynccontextmanager
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import json
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from .models import CrawlResult, MarkdownGenerationResult, StringCompatibleMarkdown
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import aiofiles
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from .async_logger import AsyncLogger
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from .utils import ensure_content_dirs, generate_content_hash
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from .utils import VersionManager
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from .utils import get_error_context, create_box_message
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base_directory = DB_PATH = os.path.join(
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os.getenv("CRAWL4_AI_BASE_DIRECTORY", Path.home()), ".crawl4ai"
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)
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os.makedirs(DB_PATH, exist_ok=True)
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DB_PATH = os.path.join(base_directory, "crawl4ai.db")
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class AsyncDatabaseManager:
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def __init__(self, pool_size: int = 10, max_retries: int = 3):
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self.db_path = DB_PATH
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self.content_paths = ensure_content_dirs(os.path.dirname(DB_PATH))
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self.pool_size = pool_size
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self.max_retries = max_retries
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self.connection_pool: Dict[int, aiosqlite.Connection] = {}
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self.pool_lock = asyncio.Lock()
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self.init_lock = asyncio.Lock()
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self.connection_semaphore = asyncio.Semaphore(pool_size)
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self._initialized = False
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self.version_manager = VersionManager()
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self.logger = AsyncLogger(
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log_file=os.path.join(base_directory, ".crawl4ai", "crawler_db.log"),
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verbose=False,
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tag_width=10,
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)
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async def initialize(self):
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"""Initialize the database and connection pool"""
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try:
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self.logger.info("Initializing database", tag="INIT")
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# Ensure the database file exists
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os.makedirs(os.path.dirname(self.db_path), exist_ok=True)
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# Check if version update is needed
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needs_update = self.version_manager.needs_update()
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# Always ensure base table exists
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await self.ainit_db()
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# Verify the table exists
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async with aiosqlite.connect(self.db_path, timeout=30.0) as db:
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async with db.execute(
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"SELECT name FROM sqlite_master WHERE type='table' AND name='crawled_data'"
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) as cursor:
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result = await cursor.fetchone()
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if not result:
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raise Exception("crawled_data table was not created")
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# If version changed or fresh install, run updates
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if needs_update:
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self.logger.info("New version detected, running updates", tag="INIT")
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await self.update_db_schema()
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from .migrations import (
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run_migration,
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) # Import here to avoid circular imports
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await run_migration()
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self.version_manager.update_version() # Update stored version after successful migration
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self.logger.success(
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"Version update completed successfully", tag="COMPLETE"
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)
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else:
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self.logger.success(
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"Database initialization completed successfully", tag="COMPLETE"
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)
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except Exception as e:
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self.logger.error(
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message="Database initialization error: {error}",
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tag="ERROR",
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params={"error": str(e)},
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)
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self.logger.info(
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message="Database will be initialized on first use", tag="INIT"
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)
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raise
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async def cleanup(self):
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"""Cleanup connections when shutting down"""
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async with self.pool_lock:
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for conn in self.connection_pool.values():
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await conn.close()
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self.connection_pool.clear()
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@asynccontextmanager
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async def get_connection(self):
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"""Connection pool manager with enhanced error handling"""
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if not self._initialized:
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async with self.init_lock:
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if not self._initialized:
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try:
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await self.initialize()
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self._initialized = True
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except Exception as e:
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import sys
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error_context = get_error_context(sys.exc_info())
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self.logger.error(
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message="Database initialization failed:\n{error}\n\nContext:\n{context}\n\nTraceback:\n{traceback}",
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tag="ERROR",
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force_verbose=True,
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params={
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"error": str(e),
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"context": error_context["code_context"],
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"traceback": error_context["full_traceback"],
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},
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)
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raise
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await self.connection_semaphore.acquire()
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task_id = id(asyncio.current_task())
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try:
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async with self.pool_lock:
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if task_id not in self.connection_pool:
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try:
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conn = await aiosqlite.connect(self.db_path, timeout=30.0)
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await conn.execute("PRAGMA journal_mode = WAL")
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await conn.execute("PRAGMA busy_timeout = 5000")
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# Verify database structure
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async with conn.execute(
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"PRAGMA table_info(crawled_data)"
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) as cursor:
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columns = await cursor.fetchall()
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column_names = [col[1] for col in columns]
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expected_columns = {
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"url",
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"html",
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"cleaned_html",
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"markdown",
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"extracted_content",
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"success",
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"media",
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"links",
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"metadata",
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"screenshot",
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"response_headers",
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"downloaded_files",
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}
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missing_columns = expected_columns - set(column_names)
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if missing_columns:
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raise ValueError(
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f"Database missing columns: {missing_columns}"
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)
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self.connection_pool[task_id] = conn
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except Exception as e:
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import sys
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error_context = get_error_context(sys.exc_info())
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error_message = (
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f"Unexpected error in db get_connection at line {error_context['line_no']} "
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f"in {error_context['function']} ({error_context['filename']}):\n"
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f"Error: {str(e)}\n\n"
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f"Code context:\n{error_context['code_context']}"
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)
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self.logger.error(
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message="{error}",
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tag="ERROR",
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params={"error": str(error_message)},
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boxes=["error"],
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)
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raise
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yield self.connection_pool[task_id]
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except Exception as e:
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import sys
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error_context = get_error_context(sys.exc_info())
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error_message = (
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f"Unexpected error in db get_connection at line {error_context['line_no']} "
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f"in {error_context['function']} ({error_context['filename']}):\n"
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f"Error: {str(e)}\n\n"
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f"Code context:\n{error_context['code_context']}"
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)
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self.logger.error(
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message="{error}",
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tag="ERROR",
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params={"error": str(error_message)},
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boxes=["error"],
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)
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raise
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finally:
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async with self.pool_lock:
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if task_id in self.connection_pool:
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await self.connection_pool[task_id].close()
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del self.connection_pool[task_id]
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self.connection_semaphore.release()
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async def execute_with_retry(self, operation, *args):
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"""Execute database operations with retry logic"""
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for attempt in range(self.max_retries):
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try:
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async with self.get_connection() as db:
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result = await operation(db, *args)
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await db.commit()
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return result
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except Exception as e:
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if attempt == self.max_retries - 1:
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self.logger.error(
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message="Operation failed after {retries} attempts: {error}",
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tag="ERROR",
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force_verbose=True,
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params={"retries": self.max_retries, "error": str(e)},
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)
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raise
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await asyncio.sleep(1 * (attempt + 1)) # Exponential backoff
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async def ainit_db(self):
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"""Initialize database schema"""
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async with aiosqlite.connect(self.db_path, timeout=30.0) as db:
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await db.execute(
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"""
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CREATE TABLE IF NOT EXISTS crawled_data (
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url TEXT PRIMARY KEY,
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html TEXT,
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cleaned_html TEXT,
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markdown TEXT,
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extracted_content TEXT,
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success BOOLEAN,
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media TEXT DEFAULT "{}",
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links TEXT DEFAULT "{}",
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metadata TEXT DEFAULT "{}",
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screenshot TEXT DEFAULT "",
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response_headers TEXT DEFAULT "{}",
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downloaded_files TEXT DEFAULT "{}" -- New column added
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)
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"""
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)
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await db.commit()
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async def update_db_schema(self):
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"""Update database schema if needed"""
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async with aiosqlite.connect(self.db_path, timeout=30.0) as db:
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cursor = await db.execute("PRAGMA table_info(crawled_data)")
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columns = await cursor.fetchall()
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column_names = [column[1] for column in columns]
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# List of new columns to add
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new_columns = [
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"media",
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"links",
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"metadata",
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"screenshot",
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"response_headers",
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"downloaded_files",
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# Smart cache validation columns (added in 0.8.x)
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"etag",
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"last_modified",
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"head_fingerprint",
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"cached_at",
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]
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for column in new_columns:
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if column not in column_names:
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await self.aalter_db_add_column(column, db)
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await db.commit()
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async def aalter_db_add_column(self, new_column: str, db):
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"""Add new column to the database"""
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if new_column == "response_headers":
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await db.execute(
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f'ALTER TABLE crawled_data ADD COLUMN {new_column} TEXT DEFAULT "{{}}"'
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)
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elif new_column == "cached_at":
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# Timestamp column for cache validation
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await db.execute(
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f"ALTER TABLE crawled_data ADD COLUMN {new_column} REAL DEFAULT 0"
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)
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else:
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await db.execute(
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f'ALTER TABLE crawled_data ADD COLUMN {new_column} TEXT DEFAULT ""'
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)
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self.logger.info(
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message="Added column '{column}' to the database",
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tag="INIT",
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params={"column": new_column},
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)
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async def aget_cached_url(self, url: str) -> Optional[CrawlResult]:
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"""Retrieve cached URL data as CrawlResult"""
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async def _get(db):
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async with db.execute(
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"SELECT * FROM crawled_data WHERE url = ?", (url,)
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) as cursor:
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row = await cursor.fetchone()
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if not row:
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return None
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# Get column names
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columns = [description[0] for description in cursor.description]
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# Create dict from row data
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row_dict = dict(zip(columns, row))
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# Load content from files using stored hashes
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content_fields = {
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"html": row_dict["html"],
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"cleaned_html": row_dict["cleaned_html"],
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"markdown": row_dict["markdown"],
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"extracted_content": row_dict["extracted_content"],
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"screenshot": row_dict["screenshot"],
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"screenshots": row_dict["screenshot"],
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}
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for field, hash_value in content_fields.items():
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if hash_value:
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content = await self._load_content(
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hash_value,
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field.split("_")[0], # Get content type from field name
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)
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row_dict[field] = content or ""
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else:
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row_dict[field] = ""
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# Parse JSON fields
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json_fields = [
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"media",
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"links",
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"metadata",
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"response_headers",
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"markdown",
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]
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for field in json_fields:
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try:
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row_dict[field] = (
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json.loads(row_dict[field]) if row_dict[field] else {}
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)
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except json.JSONDecodeError:
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# Very UGLY, never mention it to me please
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if field == "markdown" and isinstance(row_dict[field], str):
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row_dict[field] = MarkdownGenerationResult(
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raw_markdown=row_dict[field] or "",
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markdown_with_citations="",
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references_markdown="",
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fit_markdown="",
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fit_html="",
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)
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else:
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row_dict[field] = {}
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if isinstance(row_dict["markdown"], Dict):
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if row_dict["markdown"].get("raw_markdown"):
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row_dict["markdown"] = row_dict["markdown"]["raw_markdown"]
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# Parse downloaded_files
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try:
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row_dict["downloaded_files"] = (
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json.loads(row_dict["downloaded_files"])
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if row_dict["downloaded_files"]
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else []
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)
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except json.JSONDecodeError:
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row_dict["downloaded_files"] = []
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# Remove any fields not in CrawlResult model
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valid_fields = CrawlResult.__annotations__.keys()
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filtered_dict = {k: v for k, v in row_dict.items() if k in valid_fields}
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filtered_dict["markdown"] = row_dict["markdown"]
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return CrawlResult(**filtered_dict)
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try:
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return await self.execute_with_retry(_get)
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except Exception as e:
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self.logger.error(
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message="Error retrieving cached URL: {error}",
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tag="ERROR",
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force_verbose=True,
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params={"error": str(e)},
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)
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return None
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async def aget_cache_metadata(self, url: str) -> Optional[Dict]:
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"""
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Retrieve only cache validation metadata for a URL (lightweight query).
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Returns dict with: url, etag, last_modified, head_fingerprint, cached_at, response_headers
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This is used for cache validation without loading full content.
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"""
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async def _get_metadata(db):
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async with db.execute(
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"""SELECT url, etag, last_modified, head_fingerprint, cached_at, response_headers
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FROM crawled_data WHERE url = ?""",
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(url,)
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) as cursor:
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row = await cursor.fetchone()
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if not row:
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return None
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columns = [description[0] for description in cursor.description]
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row_dict = dict(zip(columns, row))
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# Parse response_headers JSON
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try:
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row_dict["response_headers"] = (
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json.loads(row_dict["response_headers"])
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if row_dict["response_headers"] else {}
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)
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except json.JSONDecodeError:
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row_dict["response_headers"] = {}
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return row_dict
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try:
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return await self.execute_with_retry(_get_metadata)
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except Exception as e:
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self.logger.error(
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message="Error retrieving cache metadata: {error}",
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tag="ERROR",
|
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force_verbose=True,
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params={"error": str(e)},
|
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)
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return None
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|
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async def aupdate_cache_metadata(
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self,
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url: str,
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etag: Optional[str] = None,
|
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last_modified: Optional[str] = None,
|
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head_fingerprint: Optional[str] = None,
|
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):
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"""
|
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Update only the cache validation metadata for a URL.
|
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Used to update etag/last_modified after a successful validation.
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"""
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async def _update(db):
|
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updates = []
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values = []
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|
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if etag is not None:
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updates.append("etag = ?")
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values.append(etag)
|
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if last_modified is not None:
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updates.append("last_modified = ?")
|
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values.append(last_modified)
|
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if head_fingerprint is not None:
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updates.append("head_fingerprint = ?")
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values.append(head_fingerprint)
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|
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if not updates:
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return
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values.append(url)
|
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await db.execute(
|
||||
f"UPDATE crawled_data SET {', '.join(updates)} WHERE url = ?",
|
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tuple(values)
|
||||
)
|
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|
||||
try:
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await self.execute_with_retry(_update)
|
||||
except Exception as e:
|
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self.logger.error(
|
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message="Error updating cache metadata: {error}",
|
||||
tag="ERROR",
|
||||
force_verbose=True,
|
||||
params={"error": str(e)},
|
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)
|
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|
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async def acache_url(self, result: CrawlResult):
|
||||
"""Cache CrawlResult data"""
|
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# Store content files and get hashes
|
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content_map = {
|
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"html": (result.html, "html"),
|
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"cleaned_html": (result.cleaned_html or "", "cleaned"),
|
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"markdown": None,
|
||||
"extracted_content": (result.extracted_content or "", "extracted"),
|
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"screenshot": (result.screenshot or "", "screenshots"),
|
||||
}
|
||||
|
||||
try:
|
||||
if isinstance(result.markdown, StringCompatibleMarkdown):
|
||||
content_map["markdown"] = (
|
||||
result.markdown,
|
||||
"markdown",
|
||||
)
|
||||
elif isinstance(result.markdown, MarkdownGenerationResult):
|
||||
content_map["markdown"] = (
|
||||
result.markdown.model_dump_json(),
|
||||
"markdown",
|
||||
)
|
||||
elif isinstance(result.markdown, str):
|
||||
markdown_result = MarkdownGenerationResult(raw_markdown=result.markdown)
|
||||
content_map["markdown"] = (
|
||||
markdown_result.model_dump_json(),
|
||||
"markdown",
|
||||
)
|
||||
else:
|
||||
content_map["markdown"] = (
|
||||
MarkdownGenerationResult().model_dump_json(),
|
||||
"markdown",
|
||||
)
|
||||
except Exception as e:
|
||||
self.logger.warning(
|
||||
message=f"Error processing markdown content: {str(e)}", tag="WARNING"
|
||||
)
|
||||
# Fallback to empty markdown result
|
||||
content_map["markdown"] = (
|
||||
MarkdownGenerationResult().model_dump_json(),
|
||||
"markdown",
|
||||
)
|
||||
|
||||
content_hashes = {}
|
||||
for field, (content, content_type) in content_map.items():
|
||||
content_hashes[field] = await self._store_content(content, content_type)
|
||||
|
||||
# Extract cache validation headers from response
|
||||
response_headers = result.response_headers or {}
|
||||
etag = response_headers.get("etag") or response_headers.get("ETag") or ""
|
||||
last_modified = response_headers.get("last-modified") or response_headers.get("Last-Modified") or ""
|
||||
# head_fingerprint is set by caller via result attribute (if available)
|
||||
head_fingerprint = getattr(result, "head_fingerprint", None) or ""
|
||||
cached_at = time.time()
|
||||
|
||||
async def _cache(db):
|
||||
await db.execute(
|
||||
"""
|
||||
INSERT INTO crawled_data (
|
||||
url, html, cleaned_html, markdown,
|
||||
extracted_content, success, media, links, metadata,
|
||||
screenshot, response_headers, downloaded_files,
|
||||
etag, last_modified, head_fingerprint, cached_at
|
||||
)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
|
||||
ON CONFLICT(url) DO UPDATE SET
|
||||
html = excluded.html,
|
||||
cleaned_html = excluded.cleaned_html,
|
||||
markdown = excluded.markdown,
|
||||
extracted_content = excluded.extracted_content,
|
||||
success = excluded.success,
|
||||
media = excluded.media,
|
||||
links = excluded.links,
|
||||
metadata = excluded.metadata,
|
||||
screenshot = excluded.screenshot,
|
||||
response_headers = excluded.response_headers,
|
||||
downloaded_files = excluded.downloaded_files,
|
||||
etag = excluded.etag,
|
||||
last_modified = excluded.last_modified,
|
||||
head_fingerprint = excluded.head_fingerprint,
|
||||
cached_at = excluded.cached_at
|
||||
""",
|
||||
(
|
||||
result.url,
|
||||
content_hashes["html"],
|
||||
content_hashes["cleaned_html"],
|
||||
content_hashes["markdown"],
|
||||
content_hashes["extracted_content"],
|
||||
result.success,
|
||||
json.dumps(result.media),
|
||||
json.dumps(result.links),
|
||||
json.dumps(result.metadata or {}),
|
||||
content_hashes["screenshot"],
|
||||
json.dumps(result.response_headers or {}),
|
||||
json.dumps(result.downloaded_files or []),
|
||||
etag,
|
||||
last_modified,
|
||||
head_fingerprint,
|
||||
cached_at,
|
||||
),
|
||||
)
|
||||
|
||||
try:
|
||||
await self.execute_with_retry(_cache)
|
||||
except Exception as e:
|
||||
self.logger.error(
|
||||
message="Error caching URL: {error}",
|
||||
tag="ERROR",
|
||||
force_verbose=True,
|
||||
params={"error": str(e)},
|
||||
)
|
||||
|
||||
async def aget_total_count(self) -> int:
|
||||
"""Get total number of cached URLs"""
|
||||
|
||||
async def _count(db):
|
||||
async with db.execute("SELECT COUNT(*) FROM crawled_data") as cursor:
|
||||
result = await cursor.fetchone()
|
||||
return result[0] if result else 0
|
||||
|
||||
try:
|
||||
return await self.execute_with_retry(_count)
|
||||
except Exception as e:
|
||||
self.logger.error(
|
||||
message="Error getting total count: {error}",
|
||||
tag="ERROR",
|
||||
force_verbose=True,
|
||||
params={"error": str(e)},
|
||||
)
|
||||
return 0
|
||||
|
||||
async def aclear_db(self):
|
||||
"""Clear all data from the database"""
|
||||
|
||||
async def _clear(db):
|
||||
await db.execute("DELETE FROM crawled_data")
|
||||
|
||||
try:
|
||||
await self.execute_with_retry(_clear)
|
||||
except Exception as e:
|
||||
self.logger.error(
|
||||
message="Error clearing database: {error}",
|
||||
tag="ERROR",
|
||||
force_verbose=True,
|
||||
params={"error": str(e)},
|
||||
)
|
||||
|
||||
async def aflush_db(self):
|
||||
"""Drop the entire table"""
|
||||
|
||||
async def _flush(db):
|
||||
await db.execute("DROP TABLE IF EXISTS crawled_data")
|
||||
|
||||
try:
|
||||
await self.execute_with_retry(_flush)
|
||||
except Exception as e:
|
||||
self.logger.error(
|
||||
message="Error flushing database: {error}",
|
||||
tag="ERROR",
|
||||
force_verbose=True,
|
||||
params={"error": str(e)},
|
||||
)
|
||||
|
||||
async def _store_content(self, content: str, content_type: str) -> str:
|
||||
"""Store content in filesystem and return hash"""
|
||||
if not content:
|
||||
return ""
|
||||
|
||||
content_hash = generate_content_hash(content)
|
||||
file_path = os.path.join(self.content_paths[content_type], content_hash)
|
||||
|
||||
# Only write if file doesn't exist
|
||||
if not os.path.exists(file_path):
|
||||
async with aiofiles.open(file_path, "w", encoding="utf-8") as f:
|
||||
await f.write(content)
|
||||
|
||||
return content_hash
|
||||
|
||||
async def _load_content(
|
||||
self, content_hash: str, content_type: str
|
||||
) -> Optional[str]:
|
||||
"""Load content from filesystem by hash"""
|
||||
if not content_hash:
|
||||
return None
|
||||
|
||||
file_path = os.path.join(self.content_paths[content_type], content_hash)
|
||||
try:
|
||||
async with aiofiles.open(file_path, "r", encoding="utf-8") as f:
|
||||
return await f.read()
|
||||
except:
|
||||
self.logger.error(
|
||||
message="Failed to load content: {file_path}",
|
||||
tag="ERROR",
|
||||
force_verbose=True,
|
||||
params={"file_path": file_path},
|
||||
)
|
||||
return None
|
||||
|
||||
|
||||
# Create a singleton instance
|
||||
async_db_manager = AsyncDatabaseManager()
|
||||
Reference in New Issue
Block a user