// Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.

package sagemaker

import (
	"context"
	"time"

	"github.com/aws/aws-sdk-go-v2/aws"
	"github.com/aws/aws-sdk-go-v2/internal/awsutil"
)

type DescribeTransformJobInput struct {
	_ struct{} `type:"structure"`

	// The name of the transform job that you want to view details of.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`
}

// String returns the string representation
func (s DescribeTransformJobInput) String() string {
	return awsutil.Prettify(s)
}

// Validate inspects the fields of the type to determine if they are valid.
func (s *DescribeTransformJobInput) Validate() error {
	invalidParams := aws.ErrInvalidParams{Context: "DescribeTransformJobInput"}

	if s.TransformJobName == nil {
		invalidParams.Add(aws.NewErrParamRequired("TransformJobName"))
	}
	if s.TransformJobName != nil && len(*s.TransformJobName) < 1 {
		invalidParams.Add(aws.NewErrParamMinLen("TransformJobName", 1))
	}

	if invalidParams.Len() > 0 {
		return invalidParams
	}
	return nil
}

type DescribeTransformJobOutput struct {
	_ struct{} `type:"structure"`

	// The Amazon Resource Name (ARN) of the AutoML transform job.
	AutoMLJobArn *string `min:"1" type:"string"`

	// Specifies the number of records to include in a mini-batch for an HTTP inference
	// request. A record is a single unit of input data that inference can be made
	// on. For example, a single line in a CSV file is a record.
	//
	// To enable the batch strategy, you must set SplitType to Line, RecordIO, or
	// TFRecord.
	BatchStrategy BatchStrategy `type:"string" enum:"true"`

	// A timestamp that shows when the transform Job was created.
	//
	// CreationTime is a required field
	CreationTime *time.Time `type:"timestamp" required:"true"`

	// The data structure used to specify the data to be used for inference in a
	// batch transform job and to associate the data that is relevant to the prediction
	// results in the output. The input filter provided allows you to exclude input
	// data that is not needed for inference in a batch transform job. The output
	// filter provided allows you to include input data relevant to interpreting
	// the predictions in the output from the job. For more information, see Associate
	// Prediction Results with their Corresponding Input Records (https://docs.aws.amazon.com/sagemaker/latest/dg/batch-transform-data-processing.html).
	DataProcessing *DataProcessing `type:"structure"`

	// The environment variables to set in the Docker container. We support up to
	// 16 key and values entries in the map.
	Environment map[string]string `type:"map"`

	// Configuration for the experiment.
	ExperimentConfig *ExperimentConfig `type:"structure"`

	// If the transform job failed, FailureReason describes why it failed. A transform
	// job creates a log file, which includes error messages, and stores it as an
	// Amazon S3 object. For more information, see Log Amazon SageMaker Events with
	// Amazon CloudWatch (https://docs.aws.amazon.com/sagemaker/latest/dg/logging-cloudwatch.html).
	FailureReason *string `type:"string"`

	// The Amazon Resource Name (ARN) of the Amazon SageMaker Ground Truth labeling
	// job that created the transform or training job.
	LabelingJobArn *string `type:"string"`

	// The maximum number of parallel requests on each instance node that can be
	// launched in a transform job. The default value is 1.
	MaxConcurrentTransforms *int64 `type:"integer"`

	// The maximum payload size, in MB, used in the transform job.
	MaxPayloadInMB *int64 `type:"integer"`

	// The timeout and maximum number of retries for processing a transform job
	// invocation.
	ModelClientConfig *ModelClientConfig `type:"structure"`

	// The name of the model used in the transform job.
	//
	// ModelName is a required field
	ModelName *string `type:"string" required:"true"`

	// Indicates when the transform job has been completed, or has stopped or failed.
	// You are billed for the time interval between this time and the value of TransformStartTime.
	TransformEndTime *time.Time `type:"timestamp"`

	// Describes the dataset to be transformed and the Amazon S3 location where
	// it is stored.
	//
	// TransformInput is a required field
	TransformInput *TransformInput `type:"structure" required:"true"`

	// The Amazon Resource Name (ARN) of the transform job.
	//
	// TransformJobArn is a required field
	TransformJobArn *string `type:"string" required:"true"`

	// The name of the transform job.
	//
	// TransformJobName is a required field
	TransformJobName *string `min:"1" type:"string" required:"true"`

	// The status of the transform job. If the transform job failed, the reason
	// is returned in the FailureReason field.
	//
	// TransformJobStatus is a required field
	TransformJobStatus TransformJobStatus `type:"string" required:"true" enum:"true"`

	// Identifies the Amazon S3 location where you want Amazon SageMaker to save
	// the results from the transform job.
	TransformOutput *TransformOutput `type:"structure"`

	// Describes the resources, including ML instance types and ML instance count,
	// to use for the transform job.
	//
	// TransformResources is a required field
	TransformResources *TransformResources `type:"structure" required:"true"`

	// Indicates when the transform job starts on ML instances. You are billed for
	// the time interval between this time and the value of TransformEndTime.
	TransformStartTime *time.Time `type:"timestamp"`
}

// String returns the string representation
func (s DescribeTransformJobOutput) String() string {
	return awsutil.Prettify(s)
}

const opDescribeTransformJob = "DescribeTransformJob"

// DescribeTransformJobRequest returns a request value for making API operation for
// Amazon SageMaker Service.
//
// Returns information about a transform job.
//
//    // Example sending a request using DescribeTransformJobRequest.
//    req := client.DescribeTransformJobRequest(params)
//    resp, err := req.Send(context.TODO())
//    if err == nil {
//        fmt.Println(resp)
//    }
//
// Please also see https://docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/DescribeTransformJob
func (c *Client) DescribeTransformJobRequest(input *DescribeTransformJobInput) DescribeTransformJobRequest {
	op := &aws.Operation{
		Name:       opDescribeTransformJob,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &DescribeTransformJobInput{}
	}

	req := c.newRequest(op, input, &DescribeTransformJobOutput{})

	return DescribeTransformJobRequest{Request: req, Input: input, Copy: c.DescribeTransformJobRequest}
}

// DescribeTransformJobRequest is the request type for the
// DescribeTransformJob API operation.
type DescribeTransformJobRequest struct {
	*aws.Request
	Input *DescribeTransformJobInput
	Copy  func(*DescribeTransformJobInput) DescribeTransformJobRequest
}

// Send marshals and sends the DescribeTransformJob API request.
func (r DescribeTransformJobRequest) Send(ctx context.Context) (*DescribeTransformJobResponse, error) {
	r.Request.SetContext(ctx)
	err := r.Request.Send()
	if err != nil {
		return nil, err
	}

	resp := &DescribeTransformJobResponse{
		DescribeTransformJobOutput: r.Request.Data.(*DescribeTransformJobOutput),
		response:                   &aws.Response{Request: r.Request},
	}

	return resp, nil
}

// DescribeTransformJobResponse is the response type for the
// DescribeTransformJob API operation.
type DescribeTransformJobResponse struct {
	*DescribeTransformJobOutput

	response *aws.Response
}

// SDKResponseMetdata returns the response metadata for the
// DescribeTransformJob request.
func (r *DescribeTransformJobResponse) SDKResponseMetdata() *aws.Response {
	return r.response
}