適用於 Python 的 Azure 排程器程式庫Azure Scheduler libraries for python

發行項
07/03/2019

安裝程式庫Install the libraries

管理性Management

pip install azure-mgmt-scheduler

範例Example

建立管理用戶端Create the management client

下列程式碼會建立管理用戶端的執行個體。The following code creates an instance of the management client.

您必須提供您的 subscription_id (可從訂用帳戶清單來擷取)。You will need to provide your subscription_id which can be retrieved from your subscription list.

請參閱資源管理驗證，以深入了解如何使用 Python SDK 來處理 Azure Active Directory 驗證，以及如何建立 Credentials 執行個體。See Resource Management Authentication for details on handling Azure Active Directory authentication with the Python SDK, and creating a Credentials instance.

from azure.mgmt.scheduler import SchedulerManagementClient
from azure.common.credentials import UserPassCredentials

# Replace this with your subscription id
subscription_id = '33333333-3333-3333-3333-333333333333'

# See above for details on creating different types of AAD credentials
credentials = UserPassCredentials(
    'user@domain.com',  # Your user
    'my_password',      # Your password
)

scheduler_client = SchedulerManagementClient(
    credentials,
    subscription_id
)

建立作業集合Create a job collection

下列程式碼會在現有資源群組底下建立作業集合。The following code creates a job collection under an existing resource group. 若要建立或管理資源群組，請參閱資源管理。To create or manage resource groups, see Resource Management.

from azure.mgmt.scheduler.models import JobCollectionDefinition, JobCollectionProperties, Sku

group_name = 'myresourcegroup'
job_collection_name = "myjobcollection"
scheduler_client.job_collections.create_or_update(
    group_name,
    job_collection_name,
    JobCollectionDefinition(
        location = "West US",
        properties = JobCollectionProperties(
            sku = Sku(
                name="Free"
            )
        )
    )
)
# scheduler_client is a JobCollectionDefinition instance

探索管理 APIExplore the Management APIs

共用方式為