Function

This API is used to query the created training job configurations that meet the search criteria.

URI

GET /v1/{project_id}/training-job-configs

Table 1 describes the required parameters.

**Table 1** Parameters
Parameter	Mandatory	Type	Description
project_id	Yes	String	Project ID. For details about how to obtain the project ID, see Obtaining a Project ID.

Request Body

Table 2 describes the request parameters.

**Table 2** Parameters
Parameter	Mandatory	Type	Description
per_page	No	Integer	Number of job parameters displayed on each page. The value range is [1, 1000]. Default value: 10
page	No	Integer	Index of the page to be queried. Default value: 1
sortBy	No	String	Sorting mode of the query. The value can be config_name, config_desc, or create_time. The default value is config_name. create_time is not supported for sample sorting.
order	No	String	Sorting order. Options: asc: ascending order desc: descending order. The default value is desc.
search_content	No	String	Search content, for example, a parameter name. By default, this parameter is left blank.
config_type	No	String	Configuration type to be queried. Options: custom: Query the custom configurations. sample: Query the sample configurations. The default value is custom.

Response Body

Table 3 describes the response parameters.

**Table 3** Parameters
Parameter	Type	Description
is_success	Boolean	Whether the request is successful
error_message	String	Error message of a failed API call. This parameter is not included when the API call succeeds.
error_code	String	Error code of a failed API call. For details, see Error Codes. This parameter is not included when the API call succeeds.
config_total_count	Integer	Total number of the queried training job configurations
configs	Array of ConfigResponse objects	configs parameters

**Table 4** **configs** parameters
Parameter	Type	Description
config_name	String	Name of a training job configuration
config_desc	String	Description of a training job configuration
create_time	Long	Time when a training job is created
engine_type	Integer	Engine type of a training job
engine_name	String	Name of the engine selected for a training job
engine_id	Long	ID of the engine selected for a training job
engine_version	String	Version of the engine selected for a training job
user_image_url	String	SWR URL of a custom image used by a training job. Example value: 100.125.5.235:20202/jobmng/custom-cpu-base:1.0
user_command	String	Boot command used to start the container of a custom image of a training job. The format is bash /home/work/run_train.sh python /home/work/user-job-dir/app/train.py {python_file_parameter}.

Samples

Sample request

GET    https://endpoint/v1/{project_id}/training-job-configs?per_page=10&page=1&sortBy=create_time&order=asc&search_content=configname

Successful sample response

{
    "is_success": true,
    "config_total_count": 3,
    "configs": [
        {
            "config_name": "testConfig",
            "config_desc": "This is config",
            "create_time": 1524189990635,
            "engine_type": 1,
            "engine_name": "TensorFlow",
            "engine_id": 1,
            "engine_version": "TF-1.4.0-python2.7",
            "user_image_url": "100.125.5.235:20202/jobmng/custom-cpu-base:1.0",
            "user_command": "bash -x /home/work/run_train.sh python /home/work/user-job-dir/app/mnist/mnist_softmax.py --data_url /home/work/user-job-dir/app/mnist_data"
        }
    ]
}

Failed sample response

{
    "is_success": false,
    "error_message": "Error string",
    "error_code": "ModelArts.0105"
}

Status Code

For details about the status code, see Status Code.

Error Codes

See Error Codes.