我想在 ML 笔记本中使用 Azure Key Vault 来检索机密。我遵循的教程 here 建议使用
from azure.keyvault.secrets import SecretClient
from azure.identity import DefaultAzureCredential
vault_url = 'https://<myvaulturl>.vault.azure.net'
az_credential = DefaultAzureCredential()
client = SecretClient(vault_url=vault_url, credential=az_credential)
client.get_secret('<mysecret>')
但是我收到此错误 ClientAuthenticationError: DefaultAzureCredential failed to retrieve a token from the included credentials. Attempted credentials: EnvironmentCredential: EnvironmentCredential authentication unavailable. Environment variables are not fully configured. ManagedIdentityCredential: Unexpected response 'None'
。
我认为这取决于我没有设置环境变量这一事实:
AZURE_CLIENT_ID
AZURE_CLIENT_SECRET
AZURE_TENANT_ID
我想知道是否有其他方法可以在不使用 DefaultAzureCredential
类的情况下访问保管库。
有人有什么想法吗?
答案 0 :(得分:1)
尝试使用 ClientSecretCredential
来做到这一点:
from azure.keyvault.secrets import SecretClient
from azure.identity import ClientSecretCredential
AZURE_TENANT_ID = ''
AZURE_CLIENT_ID = ''
AZURE_CLIENT_SECRET = ''
cred = ClientSecretCredential(
client_id = AZURE_CLIENT_ID,
client_secret = AZURE_CLIENT_SECRET,
tenant_id = AZURE_TENANT_ID
)
keyVaultName = ''
KVUri = f"https://{keyVaultName}.vault.azure.net"
sc = SecretClient(vault_url=KVUri, credential=cred)
print(sc.get_secret('<secret name>').value)
更新:
按照 this doc 创建 Azure AD 应用,然后按照 this section 创建应用机密。以便您拥有 ClientSecretCredential
按照 this doc 将此应用添加到访问策略,以便此应用有权查询 Azure Key Vault 中的机密。