Source code for langchain_community.document_loaders.discord

from __future__ import annotations

from typing import TYPE_CHECKING, List

from langchain_core.documents import Document

from langchain_community.document_loaders.base import BaseLoader

    import pandas as pd

[docs]class DiscordChatLoader(BaseLoader): """Load `Discord` chat logs."""
[docs] def __init__(self, chat_log: pd.DataFrame, user_id_col: str = "ID"): """Initialize with a Pandas DataFrame containing chat logs. Args: chat_log: Pandas DataFrame containing chat logs. user_id_col: Name of the column containing the user ID. Defaults to "ID". """ if not isinstance(chat_log, pd.DataFrame): raise ValueError( f"Expected chat_log to be a pd.DataFrame, got {type(chat_log)}" ) self.chat_log = chat_log self.user_id_col = user_id_col
[docs] def load(self) -> List[Document]: """Load all chat messages.""" result = [] for _, row in self.chat_log.iterrows(): user_id = row[self.user_id_col] metadata = row.to_dict() metadata.pop(self.user_id_col) result.append(Document(page_content=user_id, metadata=metadata)) return result