mirror of
https://github.com/Mintplex-Labs/langchain-python.git
synced 2026-07-19 13:26:32 -04:00
Lucas Vieira
e6c1c32aff
So, this is basically fixing the same things as #1517 but for GCS. ### Problem When loading GCS Objects with `/` in the object key (eg. folder/some-document.txt) using `GCSFileLoader`, the objects are downloaded into a temporary directory and saved as a file. This errors out when the parent directory does not exist within the temporary directory. ### What this pr does Creates parent directories based on object key. This also works with deeply nested keys: folder/subfolder/some-document.txt
43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
"""Loading logic for loading documents from a GCS file."""
|
|
import os
|
|
import tempfile
|
|
from typing import List
|
|
|
|
from langchain.docstore.document import Document
|
|
from langchain.document_loaders.base import BaseLoader
|
|
from langchain.document_loaders.unstructured import UnstructuredFileLoader
|
|
|
|
|
|
class GCSFileLoader(BaseLoader):
|
|
"""Loading logic for loading documents from GCS."""
|
|
|
|
def __init__(self, project_name: str, bucket: str, blob: str):
|
|
"""Initialize with bucket and key name."""
|
|
self.bucket = bucket
|
|
self.blob = blob
|
|
self.project_name = project_name
|
|
|
|
def load(self) -> List[Document]:
|
|
"""Load documents."""
|
|
try:
|
|
from google.cloud import storage
|
|
except ImportError:
|
|
raise ValueError(
|
|
"Could not import google-cloud-storage python package. "
|
|
"Please install it with `pip install google-cloud-storage`."
|
|
)
|
|
|
|
# Initialise a client
|
|
storage_client = storage.Client(self.project_name)
|
|
# Create a bucket object for our bucket
|
|
bucket = storage_client.get_bucket(self.bucket)
|
|
# Create a blob object from the filepath
|
|
blob = bucket.blob(self.blob)
|
|
with tempfile.TemporaryDirectory() as temp_dir:
|
|
file_path = f"{temp_dir}/{self.blob}"
|
|
os.makedirs(os.path.dirname(file_path), exist_ok=True)
|
|
# Download the file to a destination
|
|
blob.download_to_filename(file_path)
|
|
loader = UnstructuredFileLoader(file_path)
|
|
return loader.load()
|