如何在 python 中使用 Azure 函数读取 Azure blob 文件？

Question

I am new in Azure cloud. Now I hope to create a work flow: upload a audio file to the blob --> Blob trigger is invoked --> deployed python function read the upload audio file and extract harmonics --> harmonics output as json file and save in another container. Blow is my code but it doesn't work:

import logging
import azure.function as func
import audio_read

def main(myblob: func.InputStream):

    logging.info(f"Python blob trigger function processed blob \n"
                 f"Name: {myblob.name}\n"
                 f"Blob Size: {myblob.length} bytes")
    
    audio_info = audioread.audio_open(myblob.read())
    logging.info(f"{audio_info}")

It returns me an error:

Exception: UnicodeDecodeError: "utf-8" codec can't decode byte 0x80 in position 40: invalid start byte.

my function.json is:

{
  "scriptFile": "__init__.py",
  "bindings": [
    {
      "name": "myblob",
      "type": "blobTrigger",
      "direction": "in",
      "path": "examplecontainer/{name}",
      "connection": "AzureWebJobsStorage"
    }
  ]
}

Answer 1

The input binding allows you to read blob storage data as input to an Azure Function.

For more details refer this document : https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-storage-blob-input?tabs=python

And make sure that you have given the proper content type and encoding while uploading audio file as blob in azure storage

For more details refer this document