python - 使用 BlobServiceClient 和 Python V12 SDK 将本地文件夹上传到 Azure Blob 存储

Question

总结问题:

我正在尝试使用 BlobServiceClient 和 Python 将本地文件夹上传到 Blob 存储。一些问题here和 here不起作用，因为 create_blob_from_path() 在 V12 SDK 中不起作用，而且我不想回到旧版本。

我尝试过的:

我使用 os.walk 作为本地目录，但缺​​少最重要的部分，例如类似于 create_blob_from_path() 的函数。

示例代码:

from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient, PublicAccess
import os 

base_file_path = '/path/to/my/local/directory/'
connect_str = '1q2w3e4r5t6y'
container_name = 'abc'

try: 
    blob_service_client = BlobServiceClient.from_connection_string(connect_str)
    container_name = 'abc' # already created in Azure 
    container_client = blob_service_client.get_container_client(container_name)
   
    upload_local_file_path = base_file_path + 'csv-summary-output' # input folder path

    for root, subdir, local_file in os.walk(upload_local_file_path):
        if local_file:
            for name in local_file:
                dir_part = os.path.relpath(root, upload_local_file_path)
                file_path = os.path.join(root, name)
                ==> missing parts here
except Exception as ex:
    print('Exception:')
    print(ex)

非常感谢任何帮助，我将查看 Azure Github，看看那里是否有任何有用的东西。

Answer 1

您还可以使用下面的代码(假设本地文件夹位于D:\aaa，请根据您的需要随意修改代码):

from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient,PublicAccess
import os

def run_sample():    
    conn_str="xxx"
    container_name="xxx"    
    
    path_remove = "D:\\"
    local_path = "D:\\aaa" #the local folder

    service_client=BlobServiceClient.from_connection_string(conn_str)
    container_client = service_client.get_container_client(container_name)  

    for r,d,f in os.walk(local_path):
        if f:
            for file in f:
                file_path_on_azure = os.path.join(r,file).replace(path_remove,"")
                file_path_on_local = os.path.join(r,file)

                blob_client = container_client.get_blob_client(file_path_on_azure)

                with open(file_path_on_local,'rb') as data:
                    blob_client.upload_blob(data)


if __name__ == '__main__':
    run_sample()
    print("**completed**")