Huawei obs file integration

Integrate with the Huawei obs file document loader using LangChain Python.

The following code demonstrates how to load an object from the Huawei OBS (Object Storage Service) as document.

# Install the required package
# pip install esdk-obs-python

from langchain_community.document_loaders.obs_file import OBSFileLoader

endpoint = "your-endpoint"

from obs import ObsClient

obs_client = ObsClient(
    access_key_id="your-access-key",
    secret_access_key="your-secret-key",
    server=endpoint,
)
loader = OBSFileLoader("your-bucket-name", "your-object-key", client=obs_client)

loader.load()

Each loader with separate authentication information

If you don’t need to reuse OBS connections between different loaders, you can directly configure the config. The loader will use the config information to initialize its own OBS client.

# Configure your access credentials\n
config = {"ak": "your-access-key", "sk": "your-secret-key"}
loader = OBSFileLoader(
    "your-bucket-name", "your-object-key", endpoint=endpoint, config=config
)

loader.load()

Get authentication information from ECS

If your langchain is deployed on Huawei Cloud ECS and Agency is set up, the loader can directly get the security token from ECS without needing access key and secret key.

config = {"get_token_from_ecs": True}
loader = OBSFileLoader(
    "your-bucket-name", "your-object-key", endpoint=endpoint, config=config
)

loader.load()

Access a publicly accessible object

If the object you want to access allows anonymous user access (anonymous users have GetObject permission), you can directly load the object without configuring the config parameter.

loader = OBSFileLoader("your-bucket-name", "your-object-key", endpoint=endpoint)

loader.load()

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