`langchain_community.document_loaders.discord`.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) – Pandas DataFrame containing chat logs.
user_id_col (str) – Name of the column containing the user ID. Defaults to “ID”.

Methods

`__init__`(chat_log[, user_id_col])	Initialize with a Pandas DataFrame containing chat logs.
`alazy_load`()	A lazy loader for Documents.
`lazy_load`()	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) – Pandas DataFrame containing chat logs.
user_id_col (str) – Name of the column containing the user ID. Defaults to “ID”.

async alazy_load() → AsyncIterator[Document]¶

A lazy loader for Documents.

lazy_load() → Iterator[Document]¶

A lazy loader for Documents.

Load all chat messages.

load_and_split(text_splitter: Optional[TextSplitter] = 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]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
Returns: List of Documents.
Return type: List[Document]

Examples using DiscordChatLoader¶