本文介绍了在Python中通过SAS导入天蓝色blob的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我想通过 BLOB专用SAS
将 Azure存储容器
中的blob导入到我的Python脚本中.
I am looking to import a blob from an Azure Storage Container
into my Python script via a BLOB-specific SAS
.
from azure.storage.blob import BlobService
sas_service = BlobService(
account_name = "name",
sas_token = "mytoken"
)
blob_content = sas_service.get_blob_to_path("container_name", "blob_name")
我尝试使用此方法,但是它会输出 OSError
并列出"503错误"
I tried using this, but it outputs an OSError
listing also a "503 error"
推荐答案
根据您的描述,您想通过 SAS_TOKEN
访问天蓝色blob存储
.
According to your description , you want to access azure blob storage
via SAS_TOKEN
.
您可以参考以下对我有用的代码片段:
You could refer to the snippet of code as below which works for me:
from datetime import datetime, timedelta
import requests
from azure.storage.blob import (
BlockBlobService,
ContainerPermissions,
)
accountName = "<your_account_name>"
accountKey = "<your_account_key>"
containerName = "<your_container_name>"
blobName = "<your_blob_name>"
def GetSasToken():
blobService = BlockBlobService(account_name=accountName, account_key=accountKey)
sas_token = blobService.generate_container_shared_access_signature(containerName,ContainerPermissions.READ, datetime.utcnow() + timedelta(hours=1))
return sas_token
def AccessTest(token):
blobService = BlockBlobService(account_name = accountName, account_key = None, sas_token = token)
blobService.get_blob_to_path(containerName,blobName,"E://test.txt")
token=GetSasToken()
print token
AccessTest(token)
您还可以从官方教程.
希望它对您有帮助.
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