GCSFileLoader#
- class langchain_community.document_loaders.gcs_file.GCSFileLoader(project_name: str, bucket: str, blob: str, loader_func: Callable[[str], BaseLoader] | None = None)[source]#
Deprecated since version 0.0.32: Use
langchain_google_community.GCSFileLoader
instead.Load from GCS file.
Initialize with bucket and key name.
- Parameters:
project_name (str) – The name of the project to load
bucket (str) – The name of the GCS bucket.
blob (str) – The name of the GCS blob to load.
loader_func (Callable[[str], BaseLoader] | None) – A loader function that instantiates a loader based on a file_path argument. If nothing is provided, the UnstructuredFileLoader is used.
Examples
To use an alternative PDF loader: >> from from langchain_community.document_loaders import PyPDFLoader >> loader = GCSFileLoader(…, loader_func=PyPDFLoader)
To use UnstructuredFileLoader with additional arguments: >> loader = GCSFileLoader(…, >> loader_func=lambda x: UnstructuredFileLoader(x, mode=”elements”))
Methods
__init__
(project_name, bucket, blob[, ...])Initialize with bucket and key name.
A lazy loader for Documents.
aload
()Load data into Document objects.
A lazy loader for Documents.
load
()Load documents.
load_and_split
([text_splitter])Load Documents and split into chunks.
- __init__(project_name: str, bucket: str, blob: str, loader_func: Callable[[str], BaseLoader] | None = None)[source]#
Initialize with bucket and key name.
- Parameters:
project_name (str) – The name of the project to load
bucket (str) – The name of the GCS bucket.
blob (str) – The name of the GCS blob to load.
loader_func (Callable[[str], BaseLoader] | None) – A loader function that instantiates a loader based on a file_path argument. If nothing is provided, the UnstructuredFileLoader is used.
Examples
To use an alternative PDF loader: >> from from langchain_community.document_loaders import PyPDFLoader >> loader = GCSFileLoader(…, loader_func=PyPDFLoader)
To use UnstructuredFileLoader with additional arguments: >> loader = GCSFileLoader(…, >> loader_func=lambda x: UnstructuredFileLoader(x, mode=”elements”))
- 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]) – TextSplitter instance to use for splitting documents. Defaults to RecursiveCharacterTextSplitter.
- Returns:
List of Documents.
- Return type:
List[Document]