Google cloud storage file 集成

使用 LangChain Python 集成 Google cloud storage file 文档加载器。

Google Cloud Storage 是用于存储非结构化数据的托管服务。

本文介绍如何load document objects from an Google Cloud Storage (GCS) file object (blob).

pip install -qU  langchain-google-community[gcs]

from langchain_google_community import GCSFileLoader

loader = GCSFileLoader(project_name="aist", bucket="testing-hwc", blob="fake.docx")

loader.load()

/Users/harrisonchase/workplace/langchain/.venv/lib/python3.10/site-packages/google/auth/_default.py:83: UserWarning: Your application has authenticated using end user credentials from Google Cloud SDK without a quota project. You might receive a "quota exceeded" or "API not enabled" error. We recommend you rerun `gcloud auth application-default login` and make sure a quota project is added. Or you can use service accounts instead. For more information about service accounts, see https://cloud.google.com/docs/authentication/
  warnings.warn(_CLOUD_SDK_CREDENTIALS_WARNING)

[Document(page_content='Lorem ipsum dolor sit amet.', lookup_str='', metadata={'source': '/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/tmp3srlf8n8/fake.docx'}, lookup_index=0)]

If you want to use an alternative loader, you can provide a custom function, for example:

from langchain_community.document_loaders import PyPDFLoader


def load_pdf(file_path):
    return PyPDFLoader(file_path)


loader = GCSFileLoader(
    project_name="aist", bucket="testing-hwc", blob="fake.pdf", loader_func=load_pdf
)

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