// 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, options); 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 = awsmiddleware.AddRecursionDetection(stack); 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", } }