Source code for langchain_google_community.gcs_directory
from typing import Callable, List, Optional
from langchain_core.document_loaders import BaseLoader
from langchain_core.documents import Document
from langchain_google_community._utils import get_client_info
from langchain_google_community.gcs_file import GCSFileLoader
[docs]class GCSDirectoryLoader(BaseLoader):
"""Load from GCS directory."""
[docs] def __init__(
self,
project_name: str,
bucket: str,
prefix: str = "",
loader_func: Optional[Callable[[str], BaseLoader]] = None,
):
"""Initialize with bucket and key name.
Args:
project_name: The ID of the project for the GCS bucket.
bucket: The name of the GCS bucket.
prefix: The prefix of the GCS bucket.
loader_func: A loader function that instantiates a loader based on a
file_path argument. If nothing is provided, the GCSFileLoader
would use its default loader.
"""
self.project_name = project_name
self.bucket = bucket
self.prefix = prefix
self._loader_func = loader_func
[docs] def load(self) -> List[Document]:
"""Load documents."""
try:
from google.cloud import storage # type: ignore[attr-defined]
except ImportError:
raise ImportError(
"Could not import google-cloud-storage python package. "
"Please, install gcs dependency group: "
"`pip install langchain-google-community[gcs]`"
)
client = storage.Client(
project=self.project_name,
client_info=get_client_info(module="google-cloud-storage"),
)
docs = []
for blob in client.list_blobs(self.bucket, prefix=self.prefix):
# we shall just skip directories since GCSFileLoader creates
# intermediate directories on the fly
if blob.name.endswith("/"):
continue
loader = GCSFileLoader(
self.project_name, self.bucket, blob.name, loader_func=self._loader_func
)
docs.extend(loader.load())
return docs