llama-index-readers-azstorage-blob 0.1.5

llama-index readers azstorage_blob integration

Azure Storage Blob Loader

pip install llama-index-readers-azstorage-blob

This loader parses any file stored as an Azure Storage blob or the entire container (with an optional prefix / attribute filter) if no particular file is specified. When initializing AzStorageBlobReader, you may pass in your account url with a SAS token or crdentials to authenticate.

All files are temporarily downloaded locally and subsequently parsed with SimpleDirectoryReader. Hence, you may also specify a custom file_extractor, relying on any of the loaders in this library (or your own)! If you need a clue on finding the file extractor object because you'd like to use your own file extractor, follow this sample.

import llama_index

file_extractor = llama_index.readers.file.base.DEFAULT_FILE_READER_CLS

# Make sure to use an instantiation of a class
file_extractor.update({".pdf": SimplePDFReader()})

Usage

To use this loader, you need to pass in the name of your Azure Storage Container. After that, if you want to just parse a single file, pass in its blob name. Note that if the file is nested in a subdirectory, the blob name should contain the path such as subdirectory/input.txt. This loader is a thin wrapper over the Azure Blob Storage Client for Python, see ContainerClient for detailed parameter usage options.

Using a Storage Account SAS URL

from llama_index.readers.azstorage_blob import AzStorageBlobReader

loader = AzStorageBlobReader(
    container="scrabble-dictionary",
    blob="dictionary.txt",
    account_url="<SAS_URL>",
)

documents = loader.load_data()

Using a Storage Account with connection string

The sample below will download all files in a container, by only specifying the storage account's connection string and the container name.

from llama_index.readers.azstorage_blob import AzStorageBlobReader

loader = AzStorageBlobReader(
    container_name="<CONTAINER_NAME>",
    connection_string="<STORAGE_ACCOUNT_CONNECTION_STRING>",
)

documents = loader.load_data()

Using Azure AD

Ensure the Azure Identity library is available pip install azure-identity

The sample below downloads all files in the container using the default credential, alternative credential options are available such as a service principal ClientSecretCredential

from azure.identity import DefaultAzureCredential

default_credential = DefaultAzureCredential()

from llama_index.readers.azstorage_blob import AzStorageBlobReader

loader = AzStorageBlobReader(
    container_name="scrabble-dictionary",
    account_url="https://<storage account name>.blob.core.windows.net",
    credential=default_credential,
)

documents = loader.load_data()

This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent.

Updates

[2023-12-14] by JAlexMcGraw (#765)

• Added functionality to allow user to connect to blob storage with connection string
• Changed temporary file names from random to back to original names