api_op_AddTags.go

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

package machinelearning

import (
	"context"
	"fmt"

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

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

	// The ID of the ML object to tag. For example, exampleModelId.
	//
	// ResourceId is a required field
	ResourceId *string `min:"1" type:"string" required:"true"`

	// The type of the ML object to tag.
	//
	// ResourceType is a required field
	ResourceType TaggableResourceType `type:"string" required:"true" enum:"true"`

	// The key-value pairs to use to create tags. If you specify a key without specifying
	// a value, Amazon ML creates a tag with the specified key and a value of null.
	//
	// Tags is a required field
	Tags []Tag `type:"list" required:"true"`
}

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

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

	if s.ResourceId == nil {
		invalidParams.Add(aws.NewErrParamRequired("ResourceId"))
	}
	if s.ResourceId != nil && len(*s.ResourceId) < 1 {
		invalidParams.Add(aws.NewErrParamMinLen("ResourceId", 1))
	}
	if len(s.ResourceType) == 0 {
		invalidParams.Add(aws.NewErrParamRequired("ResourceType"))
	}

	if s.Tags == nil {
		invalidParams.Add(aws.NewErrParamRequired("Tags"))
	}
	if s.Tags != nil {
		for i, v := range s.Tags {
			if err := v.Validate(); err != nil {
				invalidParams.AddNested(fmt.Sprintf("%s[%v]", "Tags", i), err.(aws.ErrInvalidParams))
			}
		}
	}

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

// Amazon ML returns the following elements.
type AddTagsOutput struct {
	_ struct{} `type:"structure"`

	// The ID of the ML object that was tagged.
	ResourceId *string `min:"1" type:"string"`

	// The type of the ML object that was tagged.
	ResourceType TaggableResourceType `type:"string" enum:"true"`
}

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

const opAddTags = "AddTags"

// AddTagsRequest returns a request value for making API operation for
// Amazon Machine Learning.
//
// Adds one or more tags to an object, up to a limit of 10. Each tag consists
// of a key and an optional value. If you add a tag using a key that is already
// associated with the ML object, AddTags updates the tag's value.
//
//    // Example sending a request using AddTagsRequest.
//    req := client.AddTagsRequest(params)
//    resp, err := req.Send(context.TODO())
//    if err == nil {
//        fmt.Println(resp)
//    }
func (c *Client) AddTagsRequest(input *AddTagsInput) AddTagsRequest {
	op := &aws.Operation{
		Name:       opAddTags,
		HTTPMethod: "POST",
		HTTPPath:   "/",
	}

	if input == nil {
		input = &AddTagsInput{}
	}

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

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

// AddTagsRequest is the request type for the
// AddTags API operation.
type AddTagsRequest struct {
	*aws.Request
	Input *AddTagsInput
	Copy  func(*AddTagsInput) AddTagsRequest
}

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

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

	return resp, nil
}

// AddTagsResponse is the response type for the
// AddTags API operation.
type AddTagsResponse struct {
	*AddTagsOutput

	response *aws.Response
}

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