Azure Blob 错误：指定的 Blob 不存在，但 Blob 存在

Question

运行我的 azure 函数后出现错误，该函数用于读取 azure blob 存储。

错误是

      ID 0dad768d-36d4-4c1a-85ae-2a5122533b3c
fail: Function.processor.User[0]
      Traceback (most recent call last):
        File "/usr/local/lib/python3.8/site-packages/azure/storage/blob/_download.py", line 360, in _initial_request
          location_mode, response = self._clients.blob.download(
        File "/usr/local/lib/python3.8/site-packages/azure/storage/blob/_generated/operations/_blob_operations.py", line 186, in download
          map_error(status_code=response.status_code, response=response, error_map=error_map)
        File "/usr/local/lib/python3.8/site-packages/azure/core/exceptions.py", line 102, in map_error
          raise error
      azure.core.exceptions.ResourceNotFoundError: Operation returned an invalid status 'The specified blob does not exist.'
  

我访问文件的python代码是

from azure.storage.filedatalake import DataLakeFileClient  

def get_file(self, file_path: str) -> Union[str, bytes, bytearray]:
    """Retrieve the file content of a file stored in the Data Lake
    
    Args:
        file_path (str): The path to the file
    
    Returns:
        Union[str, bytes, bytearray]: File content
    
    Raises:
        Exception: Description
    """

    try:
        file = DataLakeFileClient(
            account_url=self.account_url,
            credential=self.account_key,
            file_system_name=self.fs_name,
            file_path=file_path)
        return bytes(file.download_file().readall())
    except ResourceNotFoundError as e:
        raise Exception("No such file")

任何人都知道这是什么解决方案

BLOB

---

Answer 1

示例代码（请确保 'myfile' 存在。）：

from azure.storage.filedatalake import DataLakeServiceClient 
connect_str = "DefaultEndpointsProtocol=https;AccountName=0730bowmanwindow;AccountKey=xxxxxx;EndpointSuffix=core.windows.net"
datalake_service_client = DataLakeServiceClient.from_connection_string(connect_str)
myfilesystem = "test"
myfolder     = "test"
myfile       = "FileName.txt"

file_system_client = datalake_service_client.get_file_system_client(myfilesystem)            
directory_client = file_system_client.create_directory(myfolder)         
directory_client = file_system_client.get_directory_client(myfolder)

file_client = directory_client.get_file_client(myfile)
print(file_client.download_file().readall())