langchain/libs/community/langchain_community/chat_loaders/telegram.py
Bagatur ed58eeb9c5
community[major], core[patch], langchain[patch], experimental[patch]: Create langchain-community (#14463)
Moved the following modules to new package langchain-community in a backwards compatible fashion:

```
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
mv langchain/langchain/adapters community/langchain_community
mv langchain/langchain/callbacks community/langchain_community/callbacks
mv langchain/langchain/chat_loaders community/langchain_community
mv langchain/langchain/chat_models community/langchain_community
mv langchain/langchain/document_loaders community/langchain_community
mv langchain/langchain/docstore community/langchain_community
mv langchain/langchain/document_transformers community/langchain_community
mv langchain/langchain/embeddings community/langchain_community
mv langchain/langchain/graphs community/langchain_community
mv langchain/langchain/llms community/langchain_community
mv langchain/langchain/memory/chat_message_histories community/langchain_community
mv langchain/langchain/retrievers community/langchain_community
mv langchain/langchain/storage community/langchain_community
mv langchain/langchain/tools community/langchain_community
mv langchain/langchain/utilities community/langchain_community
mv langchain/langchain/vectorstores community/langchain_community
mv langchain/langchain/agents/agent_toolkits community/langchain_community
mv langchain/langchain/cache.py community/langchain_community
```

Moved the following to core
```
mv langchain/langchain/utils/json_schema.py core/langchain_core/utils
mv langchain/langchain/utils/html.py core/langchain_core/utils
mv langchain/langchain/utils/strings.py core/langchain_core/utils
cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py
rm langchain/langchain/utils/env.py
```

See .scripts/community_split/script_integrations.sh for all changes
2023-12-11 13:53:30 -08:00

152 lines
5.3 KiB
Python

import json
import logging
import os
import tempfile
import zipfile
from pathlib import Path
from typing import Iterator, List, Union
from langchain_core.chat_sessions import ChatSession
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_community.chat_loaders.base import BaseChatLoader
logger = logging.getLogger(__name__)
class TelegramChatLoader(BaseChatLoader):
"""Load `telegram` conversations to LangChain chat messages.
To export, use the Telegram Desktop app from
https://desktop.telegram.org/, select a conversation, click the three dots
in the top right corner, and select "Export chat history". Then select
"Machine-readable JSON" (preferred) to export. Note: the 'lite' versions of
the desktop app (like "Telegram for MacOS") do not support exporting chat
history.
"""
def __init__(
self,
path: Union[str, Path],
):
"""Initialize the TelegramChatLoader.
Args:
path (Union[str, Path]): Path to the exported Telegram chat zip,
directory, json, or HTML file.
"""
self.path = path if isinstance(path, str) else str(path)
def _load_single_chat_session_html(self, file_path: str) -> ChatSession:
"""Load a single chat session from an HTML file.
Args:
file_path (str): Path to the HTML file.
Returns:
ChatSession: The loaded chat session.
"""
try:
from bs4 import BeautifulSoup
except ImportError:
raise ImportError(
"Please install the 'beautifulsoup4' package to load"
" Telegram HTML files. You can do this by running"
"'pip install beautifulsoup4' in your terminal."
)
with open(file_path, "r", encoding="utf-8") as file:
soup = BeautifulSoup(file, "html.parser")
results: List[Union[HumanMessage, AIMessage]] = []
previous_sender = None
for message in soup.select(".message.default"):
timestamp = message.select_one(".pull_right.date.details")["title"]
from_name_element = message.select_one(".from_name")
if from_name_element is None and previous_sender is None:
logger.debug("from_name not found in message")
continue
elif from_name_element is None:
from_name = previous_sender
else:
from_name = from_name_element.text.strip()
text = message.select_one(".text").text.strip()
results.append(
HumanMessage(
content=text,
additional_kwargs={
"sender": from_name,
"events": [{"message_time": timestamp}],
},
)
)
previous_sender = from_name
return ChatSession(messages=results)
def _load_single_chat_session_json(self, file_path: str) -> ChatSession:
"""Load a single chat session from a JSON file.
Args:
file_path (str): Path to the JSON file.
Returns:
ChatSession: The loaded chat session.
"""
with open(file_path, "r", encoding="utf-8") as file:
data = json.load(file)
messages = data.get("messages", [])
results: List[BaseMessage] = []
for message in messages:
text = message.get("text", "")
timestamp = message.get("date", "")
from_name = message.get("from", "")
results.append(
HumanMessage(
content=text,
additional_kwargs={
"sender": from_name,
"events": [{"message_time": timestamp}],
},
)
)
return ChatSession(messages=results)
def _iterate_files(self, path: str) -> Iterator[str]:
"""Iterate over files in a directory or zip file.
Args:
path (str): Path to the directory or zip file.
Yields:
str: Path to each file.
"""
if os.path.isfile(path) and path.endswith((".html", ".json")):
yield path
elif os.path.isdir(path):
for root, _, files in os.walk(path):
for file in files:
if file.endswith((".html", ".json")):
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((".html", ".json")):
with tempfile.TemporaryDirectory() as temp_dir:
yield zip_file.extract(file, path=temp_dir)
def lazy_load(self) -> Iterator[ChatSession]:
"""Lazy load the messages from the chat file and yield them
in as chat sessions.
Yields:
ChatSession: The loaded chat session.
"""
for file_path in self._iterate_files(self.path):
if file_path.endswith(".html"):
yield self._load_single_chat_session_html(file_path)
elif file_path.endswith(".json"):
yield self._load_single_chat_session_json(file_path)