176 lines
6.2 KiB
Python
176 lines
6.2 KiB
Python
import sqlite3
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import os
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from pathlib import Path
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from typing import List, Any
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from llama_index.core import Document
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from llama_index.core.readers.base import BaseReader
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class ChromeHistoryReader(BaseReader):
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"""
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Chrome browser history reader that extracts browsing data from SQLite database.
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Reads Chrome history from the default Chrome profile location and creates documents
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with embedded metadata similar to the email reader structure.
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"""
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def __init__(self) -> None:
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"""Initialize."""
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pass
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def load_data(self, input_dir: str = None, **load_kwargs: Any) -> List[Document]:
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"""
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Load Chrome history data from the default Chrome profile location.
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Args:
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input_dir: Not used for Chrome history (kept for compatibility)
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**load_kwargs:
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max_count (int): Maximum amount of history entries to read.
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chrome_profile_path (str): Custom path to Chrome profile directory.
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"""
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docs: List[Document] = []
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max_count = load_kwargs.get('max_count', 1000)
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chrome_profile_path = load_kwargs.get('chrome_profile_path', None)
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# Default Chrome profile path on macOS
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if chrome_profile_path is None:
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chrome_profile_path = os.path.expanduser("~/Library/Application Support/Google/Chrome/Default")
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history_db_path = os.path.join(chrome_profile_path, "History")
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if not os.path.exists(history_db_path):
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print(f"Chrome history database not found at: {history_db_path}")
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return docs
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try:
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# Connect to the Chrome history database
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print(f"Connecting to database: {history_db_path}")
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conn = sqlite3.connect(history_db_path)
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cursor = conn.cursor()
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# Query to get browsing history with metadata (removed created_time column)
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query = """
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SELECT
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datetime(last_visit_time/1000000-11644473600,'unixepoch','localtime') as last_visit,
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url,
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title,
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visit_count,
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typed_count,
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hidden
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FROM urls
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ORDER BY last_visit_time DESC
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"""
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print(f"Executing query on database: {history_db_path}")
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cursor.execute(query)
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rows = cursor.fetchall()
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print(f"Query returned {len(rows)} rows")
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count = 0
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for row in rows:
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if count >= max_count and max_count > 0:
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break
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last_visit, url, title, visit_count, typed_count, hidden = row
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# Create document content with metadata embedded in text
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doc_content = f"""
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[BROWSING HISTORY METADATA]
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URL: {url}
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Title: {title}
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Last Visit: {last_visit}
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Visit Count: {visit_count}
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Typed Count: {typed_count}
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Hidden: {hidden}
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[END METADATA]
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Title: {title}
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URL: {url}
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Last visited: {last_visit}
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"""
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# Create document with embedded metadata
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doc = Document(text=doc_content, metadata={})
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docs.append(doc)
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count += 1
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conn.close()
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print(f"Loaded {len(docs)} Chrome history documents")
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except Exception as e:
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print(f"Error reading Chrome history: {e}")
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return docs
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return docs
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@staticmethod
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def find_chrome_profiles() -> List[Path]:
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"""
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Find all Chrome profile directories.
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Returns:
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List of Path objects pointing to Chrome profile directories
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"""
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chrome_base_path = Path(os.path.expanduser("~/Library/Application Support/Google/Chrome"))
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profile_dirs = []
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if not chrome_base_path.exists():
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print(f"Chrome directory not found at: {chrome_base_path}")
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return profile_dirs
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# Find all profile directories
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for profile_dir in chrome_base_path.iterdir():
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if profile_dir.is_dir() and profile_dir.name != "System Profile":
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history_path = profile_dir / "History"
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if history_path.exists():
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profile_dirs.append(profile_dir)
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print(f"Found Chrome profile: {profile_dir}")
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print(f"Found {len(profile_dirs)} Chrome profiles")
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return profile_dirs
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@staticmethod
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def export_history_to_file(output_file: str = "chrome_history_export.txt", max_count: int = 1000):
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"""
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Export Chrome history to a text file using the same SQL query format.
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Args:
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output_file: Path to the output file
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max_count: Maximum number of entries to export
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"""
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chrome_profile_path = os.path.expanduser("~/Library/Application Support/Google/Chrome/Default")
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history_db_path = os.path.join(chrome_profile_path, "History")
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if not os.path.exists(history_db_path):
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print(f"Chrome history database not found at: {history_db_path}")
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return
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try:
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conn = sqlite3.connect(history_db_path)
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cursor = conn.cursor()
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query = """
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SELECT
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datetime(last_visit_time/1000000-11644473600,'unixepoch','localtime') as last_visit,
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url,
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title,
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visit_count,
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typed_count,
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hidden
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FROM urls
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ORDER BY last_visit_time DESC
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LIMIT ?
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"""
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cursor.execute(query, (max_count,))
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rows = cursor.fetchall()
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with open(output_file, 'w', encoding='utf-8') as f:
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for row in rows:
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last_visit, url, title, visit_count, typed_count, hidden = row
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f.write(f"{last_visit}\t{url}\t{title}\t{visit_count}\t{typed_count}\t{hidden}\n")
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conn.close()
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print(f"Exported {len(rows)} history entries to {output_file}")
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except Exception as e:
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print(f"Error exporting Chrome history: {e}") |