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langchain/libs/community/langchain_community/chat_loaders/whatsapp.py

119 lines
4.2 KiB
Python

import logging
import os
import re
import zipfile
from typing import Iterator, List, Union
from langchain_core.chat_loaders import BaseChatLoader
from langchain_core.chat_sessions import ChatSession
from langchain_core.messages import AIMessage, HumanMessage
logger = logging.getLogger(__name__)
class WhatsAppChatLoader(BaseChatLoader):
"""Load `WhatsApp` conversations from a dump zip file or directory."""
def __init__(self, path: str):
"""Initialize the WhatsAppChatLoader.
Args:
path (str): Path to the exported WhatsApp chat
zip directory, folder, or file.
To generate the dump, open the chat, click the three dots in the top
right corner, and select "More". Then select "Export chat" and
choose "Without media".
"""
self.path = path
ignore_lines = [
"This message was deleted",
"<Media omitted>",
"image omitted",
"Messages and calls are end-to-end encrypted. No one outside of this chat,"
" not even WhatsApp, can read or listen to them.",
]
self._ignore_lines = re.compile(
r"(" + "|".join([r"\u200E*" + line for line in ignore_lines]) + r")",
flags=re.IGNORECASE,
)
self._message_line_regex = re.compile(
r"\u200E*\[?(\d{1,2}/\d{1,2}/\d{2,4}, \d{1,2}:\d{2}:\d{2} (?:AM|PM))\]?[ \u200E]*([^:]+): (.+)", # noqa
flags=re.IGNORECASE,
)
def _load_single_chat_session(self, file_path: str) -> ChatSession:
"""Load a single chat session from a file.
Args:
file_path (str): Path to the chat file.
Returns:
ChatSession: The loaded chat session.
"""
with open(file_path, "r", encoding="utf-8") as file:
txt = file.read()
# Split messages by newlines, but keep multi-line messages grouped
chat_lines: List[str] = []
current_message = ""
for line in txt.split("\n"):
if self._message_line_regex.match(line):
if current_message:
chat_lines.append(current_message)
current_message = line
else:
current_message += " " + line.strip()
if current_message:
chat_lines.append(current_message)
results: List[Union[HumanMessage, AIMessage]] = []
for line in chat_lines:
result = self._message_line_regex.match(line.strip())
if result:
timestamp, sender, text = result.groups()
if not self._ignore_lines.match(text.strip()):
results.append(
HumanMessage( # type: ignore[call-arg]
role=sender,
content=text,
additional_kwargs={
"sender": sender,
"events": [{"message_time": timestamp}],
},
)
)
else:
logger.debug(f"Could not parse line: {line}")
return ChatSession(messages=results)
def _iterate_files(self, path: str) -> Iterator[str]:
"""Iterate over the files in a directory or zip file.
Args:
path (str): Path to the directory or zip file.
Yields:
str: The path to each file.
"""
if os.path.isfile(path):
yield path
elif os.path.isdir(path):
for root, _, files in os.walk(path):
for file in files:
if file.endswith(".txt"):
yield os.path.join(root, file)
elif zipfile.is_zipfile(path):
with zipfile.ZipFile(path) as zip_file:
for file in zip_file.namelist():
if file.endswith(".txt"):
yield zip_file.extract(file)
def lazy_load(self) -> Iterator[ChatSession]:
"""Lazy load the messages from the chat file and yield
them as chat sessions.
Yields:
Iterator[ChatSession]: The loaded chat sessions.
"""
yield self._load_single_chat_session(self.path)