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 β€œID”.

Methods

__init__(chat_log[,Β user_id_col])

Initialize with a Pandas DataFrame containing chat logs.

alazy_load()

A lazy loader for Documents.

aload()

Load data into Document objects.

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 β€œID”.

async alazy_load() β†’ AsyncIterator[Document]#

A lazy loader for Documents.

Return type:

AsyncIterator[Document]

async aload() β†’ list[Document]#

Load data into Document objects.

Return type:

list[Document]

lazy_load() β†’ Iterator[Document]#

A lazy loader for Documents.

Return type:

Iterator[Document]

load() β†’ List[Document][source]#

Load all chat messages.

Return type:

List[Document]

load_and_split(text_splitter: TextSplitter | None = None) β†’ 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