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34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
"""Load from Discord chat dump"""
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from __future__ import annotations
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from typing import TYPE_CHECKING, List
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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if TYPE_CHECKING:
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import pandas as pd
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class DiscordChatLoader(BaseLoader):
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"""Load Discord chat logs."""
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def __init__(self, chat_log: pd.DataFrame, user_id_col: str = "user_id"):
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"""Initialize with a Pandas DataFrame containing chat logs."""
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if not isinstance(chat_log, pd.DataFrame):
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raise ValueError(
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f"Expected chat_log to be a pd.DataFrame, got {type(chat_log)}"
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)
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self.chat_log = chat_log
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self.user_id_col = user_id_col
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def load(self) -> List[Document]:
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"""Load all chat messages."""
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result = []
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for _, row in self.chat_log.iterrows():
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user_id = row[self.user_id_col]
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metadata = row.to_dict()
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metadata.pop(self.user_id_col)
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result.append(Document(page_content=user_id, metadata=metadata))
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return result
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