2023-12-11 21:53:30 +00:00
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from __future__ import annotations
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2023-12-19 16:09:01 +00:00
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from datetime import datetime
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2023-12-11 21:53:30 +00:00
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from pathlib import Path
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from typing import TYPE_CHECKING, Iterator, List, Optional, Union
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from langchain_core.chat_sessions import ChatSession
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from langchain_core.messages import HumanMessage
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from langchain_community.chat_loaders.base import BaseChatLoader
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if TYPE_CHECKING:
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import sqlite3
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2023-12-19 16:09:01 +00:00
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def nanoseconds_from_2001_to_datetime(nanoseconds: int) -> datetime:
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# Convert nanoseconds to seconds (1 second = 1e9 nanoseconds)
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timestamp_in_seconds = nanoseconds / 1e9
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# The reference date is January 1, 2001, in Unix time
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reference_date_seconds = datetime(2001, 1, 1).timestamp()
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# Calculate the actual timestamp by adding the reference date
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actual_timestamp = reference_date_seconds + timestamp_in_seconds
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# Convert to a datetime object
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return datetime.fromtimestamp(actual_timestamp)
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2023-12-11 21:53:30 +00:00
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class IMessageChatLoader(BaseChatLoader):
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"""Load chat sessions from the `iMessage` chat.db SQLite file.
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It only works on macOS when you have iMessage enabled and have the chat.db file.
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The chat.db file is likely located at ~/Library/Messages/chat.db. However, your
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terminal may not have permission to access this file. To resolve this, you can
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copy the file to a different location, change the permissions of the file, or
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grant full disk access for your terminal emulator
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in System Settings > Security and Privacy > Full Disk Access.
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"""
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def __init__(self, path: Optional[Union[str, Path]] = None):
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"""
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Initialize the IMessageChatLoader.
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Args:
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path (str or Path, optional): Path to the chat.db SQLite file.
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Defaults to None, in which case the default path
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~/Library/Messages/chat.db will be used.
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"""
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if path is None:
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path = Path.home() / "Library" / "Messages" / "chat.db"
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self.db_path = path if isinstance(path, Path) else Path(path)
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if not self.db_path.exists():
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raise FileNotFoundError(f"File {self.db_path} not found")
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try:
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import sqlite3 # noqa: F401
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except ImportError as e:
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raise ImportError(
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"The sqlite3 module is required to load iMessage chats.\n"
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"Please install it with `pip install pysqlite3`"
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) from e
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def _parse_attributedBody(self, attributedBody: bytes) -> str:
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"""
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Parse the attributedBody field of the message table
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for the text content of the message.
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The attributedBody field is a binary blob that contains
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the message content after the byte string b"NSString":
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5 bytes 1-3 bytes `len` bytes
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... | b"NSString" | preamble | `len` | contents | ...
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The 5 preamble bytes are always b"\x01\x94\x84\x01+"
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The size of `len` is either 1 byte or 3 bytes:
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- If the first byte in `len` is b"\x81" then `len` is 3 bytes long.
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So the message length is the 2 bytes after, in little Endian.
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- Otherwise, the size of `len` is 1 byte, and the message length is
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that byte.
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Args:
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attributedBody (bytes): attributedBody field of the message table.
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Return:
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str: Text content of the message.
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"""
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content = attributedBody.split(b"NSString")[1][5:]
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length, start = content[0], 1
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if content[0] == 129:
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length, start = int.from_bytes(content[1:3], "little"), 3
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return content[start : start + length].decode("utf-8", errors="ignore")
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Restore self message sent before OSX 12 Monterey (#14818)
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2024-01-02 00:04:14 +00:00
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def _get_session_query(self, use_chat_handle_table: bool) -> str:
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# Messages sent pre OSX 12 require a join through the chat_handle_join table
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# However, the table doesn't exist if database created with OSX 12 or above.
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joins_w_chat_handle = """
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JOIN chat_handle_join ON
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chat_message_join.chat_id = chat_handle_join.chat_id
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JOIN handle ON
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handle.ROWID = chat_handle_join.handle_id"""
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joins_no_chat_handle = """
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JOIN handle ON message.handle_id = handle.ROWID
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"""
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joins = joins_w_chat_handle if use_chat_handle_table else joins_no_chat_handle
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return f"""
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SELECT message.date,
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handle.id,
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message.text,
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message.is_from_me,
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message.attributedBody
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FROM message
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JOIN chat_message_join ON
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message.ROWID = chat_message_join.message_id
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{joins}
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WHERE chat_message_join.chat_id = ?
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ORDER BY message.date ASC;
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"""
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2023-12-11 21:53:30 +00:00
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def _load_single_chat_session(
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Restore self message sent before OSX 12 Monterey (#14818)
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2024-01-02 00:04:14 +00:00
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self, cursor: "sqlite3.Cursor", use_chat_handle_table: bool, chat_id: int
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2023-12-11 21:53:30 +00:00
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) -> ChatSession:
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"""
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Load a single chat session from the iMessage chat.db.
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Args:
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cursor: SQLite cursor object.
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chat_id (int): ID of the chat session to load.
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Returns:
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ChatSession: Loaded chat session.
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"""
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results: List[HumanMessage] = []
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Restore self message sent before OSX 12 Monterey (#14818)
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2024-01-02 00:04:14 +00:00
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query = self._get_session_query(use_chat_handle_table)
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2023-12-11 21:53:30 +00:00
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cursor.execute(query, (chat_id,))
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messages = cursor.fetchall()
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2023-12-19 16:09:01 +00:00
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for date, sender, text, is_from_me, attributedBody in messages:
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2023-12-11 21:53:30 +00:00
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if text:
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content = text
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elif attributedBody:
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content = self._parse_attributedBody(attributedBody)
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else: # Skip messages with no content
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continue
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results.append(
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HumanMessage(
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role=sender,
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content=content,
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additional_kwargs={
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"message_time": date,
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2023-12-19 16:09:01 +00:00
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"message_time_as_datetime": nanoseconds_from_2001_to_datetime(
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date
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),
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2023-12-11 21:53:30 +00:00
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"sender": sender,
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2023-12-19 16:09:01 +00:00
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"is_from_me": bool(is_from_me),
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2023-12-11 21:53:30 +00:00
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},
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)
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)
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return ChatSession(messages=results)
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def lazy_load(self) -> Iterator[ChatSession]:
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"""
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Lazy load the chat sessions from the iMessage chat.db
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and yield them in the required format.
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Yields:
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ChatSession: Loaded chat session.
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"""
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import sqlite3
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try:
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conn = sqlite3.connect(self.db_path)
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except sqlite3.OperationalError as e:
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raise ValueError(
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f"Could not open iMessage DB file {self.db_path}.\n"
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"Make sure your terminal emulator has disk access to this file.\n"
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" You can either copy the DB file to an accessible location"
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" or grant full disk access for your terminal emulator."
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" You can grant full disk access for your terminal emulator"
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" in System Settings > Security and Privacy > Full Disk Access."
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) from e
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cursor = conn.cursor()
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Restore self message sent before OSX 12 Monterey (#14818)
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2024-01-02 00:04:14 +00:00
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# See if chat_handle_join table exists:
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query = """SELECT name FROM sqlite_master
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WHERE type='table' AND name='chat_handle_join';"""
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cursor.execute(query)
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is_chat_handle_join_exists = cursor.fetchone()
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2023-12-11 21:53:30 +00:00
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# Fetch the list of chat IDs sorted by time (most recent first)
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query = """SELECT chat_id
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FROM message
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JOIN chat_message_join ON message.ROWID = chat_message_join.message_id
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GROUP BY chat_id
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ORDER BY MAX(date) DESC;"""
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cursor.execute(query)
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chat_ids = [row[0] for row in cursor.fetchall()]
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for chat_id in chat_ids:
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Restore self message sent before OSX 12 Monterey (#14818)
<!-- Thank you for contributing to LangChain!
Replace this entire comment with:
- **Description:** a description of the change,
- **Issue:** the issue # it fixes (if applicable),
- **Dependencies:** any dependencies required for this change,
- **Tag maintainer:** for a quicker response, tag the relevant
maintainer (see below),
- **Twitter handle:** we announce bigger features on Twitter. If your PR
gets announced, and you'd like a mention, we'll gladly shout you out!
Please make sure your PR is passing linting and testing before
submitting. Run `make format`, `make lint` and `make test` to check this
locally.
See contribution guidelines for more information on how to write/run
tests, lint, etc:
https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md
If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in `docs/extras`
directory.
If no one reviews your PR within a few days, please @-mention one of
@baskaryan, @eyurtsev, @hwchase17.
-->
2024-01-02 00:04:14 +00:00
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yield self._load_single_chat_session(
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cursor, is_chat_handle_join_exists, chat_id
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)
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2023-12-11 21:53:30 +00:00
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conn.close()
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