Creating a Processing Task

Function

This API is used to create a processing task, including feature analysis tasks and data processing tasks. You can specify the id field of template composite parameter in the request body to create a task.

During data feature analysis, images or target bounding boxes are analyzed based on image features, such as blurs and brightness to draw visualized curves to assist in dataset processing.
Data processing is used to extract valuable data from a large amount of disordered, difficult-to-understand data. Data processing includes data validation, data cleansing, data selection, and data augmentation.

Data validation indicates that the dataset is verified to ensure data accuracy.
Data cleansing refers to the process of denoising, correcting, or supplementing data.
Data selection indicates the process of selecting data subsets from full data.
Data augmentation indicates that data volume is increased through simple data amplification operations such as scaling, cropping, transformation, and composition.

Debugging

You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.

URI

POST /v2/{project_id}/processor-tasks

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

Request Parameters

**Table 2** Request body parameters
Parameter	Mandatory	Type	Description
create_version	No	Boolean	Whether to synchronously create a task version when creating a task. Set this parameter to true only when creating a data processing task. For other types of tasks, this parameter is set to false or left blank. Options: true: Create a task version when creating a task. false: Do not create a task version when creating a task. (Default value)
data_source	No	ProcessorDataSource object	Data source. Either this parameter or inputs is used. A data source path cannot be an OBS path in a KMS-encrypted bucket.
description	No	String	Description of a data processing task. The description contains 0 to 256 characters and does not support the following special characters: ^!<>=&"'
inputs	No	Array of ProcessorDataSource objects	Data sources. Either this parameter or data_source is used. A data source path cannot be an OBS path in a KMS-encrypted bucket.
name	Yes	String	Name of a data processing task.
template	Yes	TemplateParam object	Data processing template, such as the algorithm ID and parameters.
version_id	No	String	Dataset version ID.
work_path	No	WorkPath object	Work directory of a data processing task. A work directory cannot be an OBS path in a KMS-encrypted bucket.
workspace_id	No	String	Workspace ID. If no workspace is created, the default value is 0. If a workspace is created and used, use the actual value.

**Table 3** ProcessorDataSource
Parameter	Mandatory	Type	Description
name	No	String	Dataset name.
source	No	String	Data source path. Options: If type is set to OBS, source is an OBS path. If type is set to TASK, source is a task ID. If type is set to DATASET, source is a dataset ID. If type is set to CUSTOM and the API is called by resource tenants, set source to the project_id of the actual user. Otherwise, this field is left blank.
type	No	String	Data source type. Options: OBS: Data obtained from OBS TASK: Data processing task DATASET: Dataset CUSTOM: Data called by resource tenants
version_id	No	String	Version of a dataset.
version_name	No	String	Dataset version name.

**Table 4** TemplateParam
Parameter	Mandatory	Type	Description
id	No	String	Task type, which is the ID of a data processing template. Options: sys_data_analyse: feature analysis sys_data_cleaning: data cleansing sys_data_augmentation: data augmentation sys_data_validation: data validation sys_data_selection: data filtering
name	No	String	Template name.
operator_params	No	Array of OperatorParam objects	Operator parameter list.

**Table 5** OperatorParam
Parameter	Mandatory	Type	Description
advanced_params_switch	No	Boolean	Advanced parameter switch.
id	No	String	ID of an operator.
name	No	String	Name of an operator.
params	No	Object	Operator parameter. The parameter type is map<string,object>. Currently, object only supports the types of Boolean, Integer, Long, String, List[/topic/body/section/table/tgroup/tbody/row/entry/p/br {""}) (br] and Map<String,String>. For two special scenarios of object detection and image classification in a data preprocessing task, the value of task_type is object_detection or image_classification.

**Table 6** WorkPath
Parameter	Mandatory	Type	Description
name	No	String	Dataset name.
output_path	No	String	Output path, for example, /datasets/demo.
path	No	String	Working path. Options: If type is set to OBS, source is an OBS path. If type is set to DATASET, source is a dataset ID.
type	No	String	Type of a working path. Options: OBS: OBS path DATASET: dataset
version_id	No	String	Version of a dataset.
version_name	No	String	Name of a dataset version. The value can contain 0 to 32 characters. Only digits, letters, underscores (_), and hyphens (-) are allowed.

Response Parameters

Status code: 200

**Table 7** Response body parameters
Parameter	Type	Description
task_id	String	ID of a data processing task.

Example Requests

The following is an example of how to create a feature analysis task. The task type has been set to sys_data_analyse.

{
  "name" : "V001",
  "description" : "",
  "data_source" : {
    "type" : "DATASET",
    "source" : "X6c3N3eztX7cr3Arvqu"
  },
  "template" : {
    "id" : "sys_data_analyse",
    "operator_params" : [ {
      "id" : "sys_data_analyse",
      "params" : {
        "op_list" : [ ]
      }
    } ]
  },
  "version_id" : "J4Eh2FDEWH1qnDlD3hQ"
}

The following is an example of how to create a data processing (data validation) task. The task type has been set to sys_data_validation.

{
  "name" : "PRE-e77c",
  "inputs" : [ {
    "type" : "DATASET",
    "source" : "PYc9H2HGv5BJNwBGXyK",
    "version_id" : "yoJ5ssClpNlOrsjjFDa"
  } ],
  "work_path" : {
    "type" : "DATASET",
    "path" : "PYc9H2HGv5BJNwBGXyK",
    "version_name" : "V0010"
  },
  "description" : "",
  "create_version" : true,
  "template" : {
    "id" : "sys_data_validation",
    "operator_params" : [ {
      "name" : "MetaValidation",
      "advanced_params_switch" : false,
      "params" : {
        "task_type" : "image_classification",
        "dataset_type" : "manifest",
        "source_service" : "select",
        "filter_func" : "data_validation_select",
        "image_max_width" : "1920",
        "image_max_height" : "1920",
        "total_status" : "[0,1,2]"
      }
    } ]
  },
  "workspace_id" : "0"
}

The following is an example of how to create a data processing (data cleansing) task. The task type has been set to sys_data_cleaning.

{
  "name" : "PRE-330f",
  "inputs" : [ {
    "type" : "DATASET",
    "source" : "gfghHSokody6AJigS5A",
    "version_id" : "54IXbeJhfttGpL46lbv"
  } ],
  "work_path" : {
    "type" : "DATASET",
    "path" : "gfghHSokody6AJigS5A",
    "version_name" : "V004"
  },
  "description" : "",
  "create_version" : true,
  "template" : {
    "id" : "sys_data_cleaning",
    "operator_params" : [ {
      "name" : "PCC",
      "advanced_params_switch" : false,
      "params" : {
        "task_type" : "image_classification",
        "dataset_type" : "manifest",
        "source_service" : "select",
        "filter_func" : "data_cleaning_select",
        "prototype_sample_path" : "obs://test-obs/classify/data/animals/",
        "criticism_sample_path" : "",
        "n_clusters" : "auto",
        "simlarity_threshold" : "0.9",
        "embedding_distance" : "0.2",
        "checkpoint_path" : "/home/work/user-job-dir/test-lxm/resnet_v1_50",
        "total_status" : "[0,2]",
        "do_validation" : "True"
      }
    } ]
  },
  "workspace_id" : "0"
}

The following is an example of how to create a data processing (data filtering) task. The task type has been set to sys_data_selection.

{
  "name" : "PRE-aae5",
  "inputs" : [ {
    "type" : "DATASET",
    "source" : "gLNSdlQ1iAAmPgl0Won",
    "version_id" : "WAVPSYpKE3FggbgRxiK"
  } ],
  "work_path" : {
    "type" : "DATASET",
    "path" : "gLNSdlQ1iAAmPgl0Won",
    "version_name" : "V003"
  },
  "description" : "",
  "create_version" : true,
  "template" : {
    "id" : "sys_data_selection",
    "operator_params" : [ {
      "name" : "SimDeduplication",
      "advanced_params_switch" : false,
      "params" : {
        "task_type" : "image_classification",
        "dataset_type" : "manifest",
        "source_service" : "select",
        "filter_func" : "data_deduplication_select",
        "simlarity_threshold" : "0.9",
        "total_status" : "[0,2]",
        "do_validation" : "True"
      }
    } ]
  },
  "workspace_id" : "0"
}

The following is an example of how to create a data processing (data augmentation) task. The task type has been set to sys_data_augmentation.

{
  "name" : "PRE-637c",
  "inputs" : [ {
    "type" : "DATASET",
    "source" : "XGrRZuCV1qmMxnsmD5u",
    "version_id" : "kjPDTOSi6BQqhtXZlFv"
  } ],
  "work_path" : {
    "type" : "DATASET",
    "path" : "XGrRZuCV1qmMxnsmD5u",
    "version_name" : "V002"
  },
  "description" : "",
  "create_version" : true,
  "template" : {
    "id" : "sys_data_augmentation",
    "operator_params" : [ {
      "name" : "AddNoise",
      "advanced_params_switch" : false,
      "params" : {
        "task_type" : "image_classification",
        "dataset_type" : "manifest",
        "AddNoise" : "1",
        "noise_type" : "Gauss",
        "loc" : "0",
        "scale" : "1",
        "lam" : "2",
        "p" : "0.01",
        "total_status" : "[3]",
        "filter_func" : "data_augmentation",
        "do_validation" : "True"
      }
    } ]
  },
  "workspace_id" : "0"
}