/
api_op_StartContentModeration.go
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/
api_op_StartContentModeration.go
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// Code generated by smithy-go-codegen DO NOT EDIT.
package rekognition
import (
"context"
awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
"github.com/aws/aws-sdk-go-v2/aws/signer/v4"
"github.com/aws/aws-sdk-go-v2/service/rekognition/types"
"github.com/aws/smithy-go/middleware"
smithyhttp "github.com/aws/smithy-go/transport/http"
)
// Starts asynchronous detection of inappropriate, unwanted, or offensive content
// in a stored video. For a list of moderation labels in Amazon Rekognition, see
// Using the image and video moderation APIs
// (https://docs.aws.amazon.com/rekognition/latest/dg/moderation.html#moderation-api).
// Amazon Rekognition Video can moderate content in a video stored in an Amazon S3
// bucket. Use Video to specify the bucket name and the filename of the video.
// StartContentModeration returns a job identifier (JobId) which you use to get the
// results of the analysis. When content analysis is finished, Amazon Rekognition
// Video publishes a completion status to the Amazon Simple Notification Service
// topic that you specify in NotificationChannel. To get the results of the content
// analysis, first check that the status value published to the Amazon SNS topic is
// SUCCEEDED. If so, call GetContentModeration and pass the job identifier (JobId)
// from the initial call to StartContentModeration. For more information, see
// Moderating content in the Amazon Rekognition Developer Guide.
func (c *Client) StartContentModeration(ctx context.Context, params *StartContentModerationInput, optFns ...func(*Options)) (*StartContentModerationOutput, error) {
if params == nil {
params = &StartContentModerationInput{}
}
result, metadata, err := c.invokeOperation(ctx, "StartContentModeration", params, optFns, c.addOperationStartContentModerationMiddlewares)
if err != nil {
return nil, err
}
out := result.(*StartContentModerationOutput)
out.ResultMetadata = metadata
return out, nil
}
type StartContentModerationInput struct {
// The video in which you want to detect inappropriate, unwanted, or offensive
// content. The video must be stored in an Amazon S3 bucket.
//
// This member is required.
Video *types.Video
// Idempotent token used to identify the start request. If you use the same token
// with multiple StartContentModeration requests, the same JobId is returned. Use
// ClientRequestToken to prevent the same job from being accidently started more
// than once.
ClientRequestToken *string
// An identifier you specify that's returned in the completion notification that's
// published to your Amazon Simple Notification Service topic. For example, you can
// use JobTag to group related jobs and identify them in the completion
// notification.
JobTag *string
// Specifies the minimum confidence that Amazon Rekognition must have in order to
// return a moderated content label. Confidence represents how certain Amazon
// Rekognition is that the moderated content is correctly identified. 0 is the
// lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't
// return any moderated content labels with a confidence level lower than this
// specified value. If you don't specify MinConfidence, GetContentModeration
// returns labels with confidence values greater than or equal to 50 percent.
MinConfidence *float32
// The Amazon SNS topic ARN that you want Amazon Rekognition Video to publish the
// completion status of the content analysis to. The Amazon SNS topic must have a
// topic name that begins with AmazonRekognition if you are using the
// AmazonRekognitionServiceRole permissions policy to access the topic.
NotificationChannel *types.NotificationChannel
noSmithyDocumentSerde
}
type StartContentModerationOutput struct {
// The identifier for the content analysis job. Use JobId to identify the job in a
// subsequent call to GetContentModeration.
JobId *string
// Metadata pertaining to the operation's result.
ResultMetadata middleware.Metadata
noSmithyDocumentSerde
}
func (c *Client) addOperationStartContentModerationMiddlewares(stack *middleware.Stack, options Options) (err error) {
err = stack.Serialize.Add(&awsAwsjson11_serializeOpStartContentModeration{}, middleware.After)
if err != nil {
return err
}
err = stack.Deserialize.Add(&awsAwsjson11_deserializeOpStartContentModeration{}, middleware.After)
if err != nil {
return err
}
if err = addSetLoggerMiddleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddClientRequestIDMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddComputeContentLengthMiddleware(stack); err != nil {
return err
}
if err = addResolveEndpointMiddleware(stack, options); err != nil {
return err
}
if err = v4.AddComputePayloadSHA256Middleware(stack); err != nil {
return err
}
if err = addRetryMiddlewares(stack, options); err != nil {
return err
}
if err = addHTTPSignerV4Middleware(stack, options); err != nil {
return err
}
if err = awsmiddleware.AddRawResponseToMetadata(stack); err != nil {
return err
}
if err = awsmiddleware.AddRecordResponseTiming(stack); err != nil {
return err
}
if err = addClientUserAgent(stack); err != nil {
return err
}
if err = smithyhttp.AddErrorCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = smithyhttp.AddCloseResponseBodyMiddleware(stack); err != nil {
return err
}
if err = addOpStartContentModerationValidationMiddleware(stack); err != nil {
return err
}
if err = stack.Initialize.Add(newServiceMetadataMiddleware_opStartContentModeration(options.Region), middleware.Before); err != nil {
return err
}
if err = addRequestIDRetrieverMiddleware(stack); err != nil {
return err
}
if err = addResponseErrorMiddleware(stack); err != nil {
return err
}
if err = addRequestResponseLogging(stack, options); err != nil {
return err
}
return nil
}
func newServiceMetadataMiddleware_opStartContentModeration(region string) *awsmiddleware.RegisterServiceMetadata {
return &awsmiddleware.RegisterServiceMetadata{
Region: region,
ServiceID: ServiceID,
SigningName: "rekognition",
OperationName: "StartContentModeration",
}
}