DiscordChatLoader#
- class langchain_community.document_loaders.discord.DiscordChatLoader(chat_log: pd.DataFrame, user_id_col: str = 'ID')[source]#
Load Discord chat logs.
Initialize with a Pandas DataFrame containing chat logs.
- Parameters:
chat_log (pd.DataFrame) β Pandas DataFrame containing chat logs.
user_id_col (str) β Name of the column containing the user ID. Defaults to βIDβ.
Methods
__init__
(chat_log[,Β user_id_col])Initialize with a Pandas DataFrame containing chat logs.
A lazy loader for Documents.
aload
()Load data into Document objects.
A lazy loader for Documents.
load
()Load all chat messages.
load_and_split
([text_splitter])Load Documents and split into chunks.
- __init__(chat_log: pd.DataFrame, user_id_col: str = 'ID')[source]#
Initialize with a Pandas DataFrame containing chat logs.
- Parameters:
chat_log (pd.DataFrame) β Pandas DataFrame containing chat logs.
user_id_col (str) β Name of the column containing the user ID. Defaults to βIDβ.
- async alazy_load() AsyncIterator[Document] #
A lazy loader for Documents.
- Return type:
AsyncIterator[Document]
- load_and_split(text_splitter: TextSplitter | None = None) List[Document] #
Load Documents and split into chunks. Chunks are returned as Documents.
Do not override this method. It should be considered to be deprecated!
- Parameters:
text_splitter (Optional[TextSplitter]) β TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns:
List of Documents.
- Return type:
List[Document]
Examples using DiscordChatLoader