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langchain/langchain/document_loaders/whatsapp_chat.py

61 lines
1.6 KiB
Python

import re
from pathlib import Path
from typing import List
from langchain.docstore.document import Document
from langchain.document_loaders.base import BaseLoader
def concatenate_rows(date: str, sender: str, text: str) -> str:
"""Combine message information in a readable format ready to be used."""
return f"{sender} on {date}: {text}\n\n"
class WhatsAppChatLoader(BaseLoader):
"""Loader that loads WhatsApp messages text file."""
def __init__(self, path: str):
"""Initialize with path."""
self.file_path = path
def load(self) -> List[Document]:
"""Load documents."""
p = Path(self.file_path)
text_content = ""
with open(p, encoding="utf8") as f:
lines = f.readlines()
message_line_regex = r"""
\[?
(
\d{1,2}
[\/.]
\d{1,2}
[\/.]
\d{2,4}
,\s
\d{1,2}
:\d{2}
(?:
:\d{2}
)?
(?:[ _](?:AM|PM))?
)
\]?
[\s-]*
([\w\s]+)
[:]+
\s
(.+)
"""
for line in lines:
result = re.match(message_line_regex, line.strip(), flags=re.VERBOSE)
if result:
date, sender, text = result.groups()
text_content += concatenate_rows(date, sender, text)
metadata = {"source": str(p)}
return [Document(page_content=text_content, metadata=metadata)]