easy_list - Batch Compute - Alibaba Cloud Documentation Center

Parameter description

Attribute	Type	Description
resource_type	str	Resource type. Currently, only “jobs”, “clusters”, “tasks”, or “instances” can be listed
resource_info	tuple	Location parameter, containing all other information required to list resources. For example, job_id and task_name must be provided when instances are listed
filters	dict	Key-value pair. You can set multiple resource filtering conditions

Response description

The easy_list method returns a list object, which contains all resource instances that meet filtering conditions in resource_type.

Example

try:
    client = Client(...
    ...
    # List all jobs which named "PythonSDK" and have a description of "test list job".
    for job in client.easy_list("jobs", Name="PythonSDK", Description="test list job"):
        print (job.Name, job.Id)
    # List all jobs which named "PythonSDK" and have a description of "test list job".
    # filters can be also unpacked from a dict.
    job_filters = {
        "Name": "PythonSDK",
        "Description": "test list job"
    }
    for job in client.easy_list("jobs", **job_filters):
        print (job.Name, job.Id)
    # List all jobs whose state is "Waiting" or "Running".
    # `filetrs` with a tuple value also available.
    for job in client.easy_list('jobs', State=['Waiting', 'Running']):
        print (job.Name, job.Id)
    # List all jobs whose state is "Waiting" or "Running".
    # `filters` with a function value defined by users. 
    state_filter = lambda state: state in ['Waiting', 'Running']
    for job in client.easy_list('jobs', State=state_filter):
        print (job.Name, job.Id)
    # List all "Runing" tasks in a job.
    job_id = 'job-xxx'
    client.easy_list('tasks', job_id, State='Running')
    # List all "Running" instances in a task.
    job_id = 'job-xxx'
    task_name = 'Echo'
    client.easy_list('instances', job_id, task_name, State='Running')
except ClientError, e:
    print(e)