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AWS SDK for Go API Reference
import "github.com/aws/aws-sdk-go/service/machinelearning/machinelearningiface"
Overview
Index

Overview ▾

Package machinelearningiface provides an interface to enable mocking the Amazon Machine Learning service client for testing your code.

It is important to note that this interface will have breaking changes when the service model is updated and adds new API operations, paginators, and waiters.

Index ▾

Package files

interface.go

type MachineLearningAPI

type MachineLearningAPI interface {
    AddTags(*machinelearning.AddTagsInput) (*machinelearning.AddTagsOutput, error)
    AddTagsWithContext(aws.Context, *machinelearning.AddTagsInput, ...request.Option) (*machinelearning.AddTagsOutput, error)
    AddTagsRequest(*machinelearning.AddTagsInput) (*request.Request, *machinelearning.AddTagsOutput)

    CreateBatchPrediction(*machinelearning.CreateBatchPredictionInput) (*machinelearning.CreateBatchPredictionOutput, error)
    CreateBatchPredictionWithContext(aws.Context, *machinelearning.CreateBatchPredictionInput, ...request.Option) (*machinelearning.CreateBatchPredictionOutput, error)
    CreateBatchPredictionRequest(*machinelearning.CreateBatchPredictionInput) (*request.Request, *machinelearning.CreateBatchPredictionOutput)

    CreateDataSourceFromRDS(*machinelearning.CreateDataSourceFromRDSInput) (*machinelearning.CreateDataSourceFromRDSOutput, error)
    CreateDataSourceFromRDSWithContext(aws.Context, *machinelearning.CreateDataSourceFromRDSInput, ...request.Option) (*machinelearning.CreateDataSourceFromRDSOutput, error)
    CreateDataSourceFromRDSRequest(*machinelearning.CreateDataSourceFromRDSInput) (*request.Request, *machinelearning.CreateDataSourceFromRDSOutput)

    CreateDataSourceFromRedshift(*machinelearning.CreateDataSourceFromRedshiftInput) (*machinelearning.CreateDataSourceFromRedshiftOutput, error)
    CreateDataSourceFromRedshiftWithContext(aws.Context, *machinelearning.CreateDataSourceFromRedshiftInput, ...request.Option) (*machinelearning.CreateDataSourceFromRedshiftOutput, error)
    CreateDataSourceFromRedshiftRequest(*machinelearning.CreateDataSourceFromRedshiftInput) (*request.Request, *machinelearning.CreateDataSourceFromRedshiftOutput)

    CreateDataSourceFromS3(*machinelearning.CreateDataSourceFromS3Input) (*machinelearning.CreateDataSourceFromS3Output, error)
    CreateDataSourceFromS3WithContext(aws.Context, *machinelearning.CreateDataSourceFromS3Input, ...request.Option) (*machinelearning.CreateDataSourceFromS3Output, error)
    CreateDataSourceFromS3Request(*machinelearning.CreateDataSourceFromS3Input) (*request.Request, *machinelearning.CreateDataSourceFromS3Output)

    CreateEvaluation(*machinelearning.CreateEvaluationInput) (*machinelearning.CreateEvaluationOutput, error)
    CreateEvaluationWithContext(aws.Context, *machinelearning.CreateEvaluationInput, ...request.Option) (*machinelearning.CreateEvaluationOutput, error)
    CreateEvaluationRequest(*machinelearning.CreateEvaluationInput) (*request.Request, *machinelearning.CreateEvaluationOutput)

    CreateMLModel(*machinelearning.CreateMLModelInput) (*machinelearning.CreateMLModelOutput, error)
    CreateMLModelWithContext(aws.Context, *machinelearning.CreateMLModelInput, ...request.Option) (*machinelearning.CreateMLModelOutput, error)
    CreateMLModelRequest(*machinelearning.CreateMLModelInput) (*request.Request, *machinelearning.CreateMLModelOutput)

    CreateRealtimeEndpoint(*machinelearning.CreateRealtimeEndpointInput) (*machinelearning.CreateRealtimeEndpointOutput, error)
    CreateRealtimeEndpointWithContext(aws.Context, *machinelearning.CreateRealtimeEndpointInput, ...request.Option) (*machinelearning.CreateRealtimeEndpointOutput, error)
    CreateRealtimeEndpointRequest(*machinelearning.CreateRealtimeEndpointInput) (*request.Request, *machinelearning.CreateRealtimeEndpointOutput)

    DeleteBatchPrediction(*machinelearning.DeleteBatchPredictionInput) (*machinelearning.DeleteBatchPredictionOutput, error)
    DeleteBatchPredictionWithContext(aws.Context, *machinelearning.DeleteBatchPredictionInput, ...request.Option) (*machinelearning.DeleteBatchPredictionOutput, error)
    DeleteBatchPredictionRequest(*machinelearning.DeleteBatchPredictionInput) (*request.Request, *machinelearning.DeleteBatchPredictionOutput)

    DeleteDataSource(*machinelearning.DeleteDataSourceInput) (*machinelearning.DeleteDataSourceOutput, error)
    DeleteDataSourceWithContext(aws.Context, *machinelearning.DeleteDataSourceInput, ...request.Option) (*machinelearning.DeleteDataSourceOutput, error)
    DeleteDataSourceRequest(*machinelearning.DeleteDataSourceInput) (*request.Request, *machinelearning.DeleteDataSourceOutput)

    DeleteEvaluation(*machinelearning.DeleteEvaluationInput) (*machinelearning.DeleteEvaluationOutput, error)
    DeleteEvaluationWithContext(aws.Context, *machinelearning.DeleteEvaluationInput, ...request.Option) (*machinelearning.DeleteEvaluationOutput, error)
    DeleteEvaluationRequest(*machinelearning.DeleteEvaluationInput) (*request.Request, *machinelearning.DeleteEvaluationOutput)

    DeleteMLModel(*machinelearning.DeleteMLModelInput) (*machinelearning.DeleteMLModelOutput, error)
    DeleteMLModelWithContext(aws.Context, *machinelearning.DeleteMLModelInput, ...request.Option) (*machinelearning.DeleteMLModelOutput, error)
    DeleteMLModelRequest(*machinelearning.DeleteMLModelInput) (*request.Request, *machinelearning.DeleteMLModelOutput)

    DeleteRealtimeEndpoint(*machinelearning.DeleteRealtimeEndpointInput) (*machinelearning.DeleteRealtimeEndpointOutput, error)
    DeleteRealtimeEndpointWithContext(aws.Context, *machinelearning.DeleteRealtimeEndpointInput, ...request.Option) (*machinelearning.DeleteRealtimeEndpointOutput, error)
    DeleteRealtimeEndpointRequest(*machinelearning.DeleteRealtimeEndpointInput) (*request.Request, *machinelearning.DeleteRealtimeEndpointOutput)

    DeleteTags(*machinelearning.DeleteTagsInput) (*machinelearning.DeleteTagsOutput, error)
    DeleteTagsWithContext(aws.Context, *machinelearning.DeleteTagsInput, ...request.Option) (*machinelearning.DeleteTagsOutput, error)
    DeleteTagsRequest(*machinelearning.DeleteTagsInput) (*request.Request, *machinelearning.DeleteTagsOutput)

    DescribeBatchPredictions(*machinelearning.DescribeBatchPredictionsInput) (*machinelearning.DescribeBatchPredictionsOutput, error)
    DescribeBatchPredictionsWithContext(aws.Context, *machinelearning.DescribeBatchPredictionsInput, ...request.Option) (*machinelearning.DescribeBatchPredictionsOutput, error)
    DescribeBatchPredictionsRequest(*machinelearning.DescribeBatchPredictionsInput) (*request.Request, *machinelearning.DescribeBatchPredictionsOutput)

    DescribeBatchPredictionsPages(*machinelearning.DescribeBatchPredictionsInput, func(*machinelearning.DescribeBatchPredictionsOutput, bool) bool) error
    DescribeBatchPredictionsPagesWithContext(aws.Context, *machinelearning.DescribeBatchPredictionsInput, func(*machinelearning.DescribeBatchPredictionsOutput, bool) bool, ...request.Option) error

    DescribeDataSources(*machinelearning.DescribeDataSourcesInput) (*machinelearning.DescribeDataSourcesOutput, error)
    DescribeDataSourcesWithContext(aws.Context, *machinelearning.DescribeDataSourcesInput, ...request.Option) (*machinelearning.DescribeDataSourcesOutput, error)
    DescribeDataSourcesRequest(*machinelearning.DescribeDataSourcesInput) (*request.Request, *machinelearning.DescribeDataSourcesOutput)

    DescribeDataSourcesPages(*machinelearning.DescribeDataSourcesInput, func(*machinelearning.DescribeDataSourcesOutput, bool) bool) error
    DescribeDataSourcesPagesWithContext(aws.Context, *machinelearning.DescribeDataSourcesInput, func(*machinelearning.DescribeDataSourcesOutput, bool) bool, ...request.Option) error

    DescribeEvaluations(*machinelearning.DescribeEvaluationsInput) (*machinelearning.DescribeEvaluationsOutput, error)
    DescribeEvaluationsWithContext(aws.Context, *machinelearning.DescribeEvaluationsInput, ...request.Option) (*machinelearning.DescribeEvaluationsOutput, error)
    DescribeEvaluationsRequest(*machinelearning.DescribeEvaluationsInput) (*request.Request, *machinelearning.DescribeEvaluationsOutput)

    DescribeEvaluationsPages(*machinelearning.DescribeEvaluationsInput, func(*machinelearning.DescribeEvaluationsOutput, bool) bool) error
    DescribeEvaluationsPagesWithContext(aws.Context, *machinelearning.DescribeEvaluationsInput, func(*machinelearning.DescribeEvaluationsOutput, bool) bool, ...request.Option) error

    DescribeMLModels(*machinelearning.DescribeMLModelsInput) (*machinelearning.DescribeMLModelsOutput, error)
    DescribeMLModelsWithContext(aws.Context, *machinelearning.DescribeMLModelsInput, ...request.Option) (*machinelearning.DescribeMLModelsOutput, error)
    DescribeMLModelsRequest(*machinelearning.DescribeMLModelsInput) (*request.Request, *machinelearning.DescribeMLModelsOutput)

    DescribeMLModelsPages(*machinelearning.DescribeMLModelsInput, func(*machinelearning.DescribeMLModelsOutput, bool) bool) error
    DescribeMLModelsPagesWithContext(aws.Context, *machinelearning.DescribeMLModelsInput, func(*machinelearning.DescribeMLModelsOutput, bool) bool, ...request.Option) error

    DescribeTags(*machinelearning.DescribeTagsInput) (*machinelearning.DescribeTagsOutput, error)
    DescribeTagsWithContext(aws.Context, *machinelearning.DescribeTagsInput, ...request.Option) (*machinelearning.DescribeTagsOutput, error)
    DescribeTagsRequest(*machinelearning.DescribeTagsInput) (*request.Request, *machinelearning.DescribeTagsOutput)

    GetBatchPrediction(*machinelearning.GetBatchPredictionInput) (*machinelearning.GetBatchPredictionOutput, error)
    GetBatchPredictionWithContext(aws.Context, *machinelearning.GetBatchPredictionInput, ...request.Option) (*machinelearning.GetBatchPredictionOutput, error)
    GetBatchPredictionRequest(*machinelearning.GetBatchPredictionInput) (*request.Request, *machinelearning.GetBatchPredictionOutput)

    GetDataSource(*machinelearning.GetDataSourceInput) (*machinelearning.GetDataSourceOutput, error)
    GetDataSourceWithContext(aws.Context, *machinelearning.GetDataSourceInput, ...request.Option) (*machinelearning.GetDataSourceOutput, error)
    GetDataSourceRequest(*machinelearning.GetDataSourceInput) (*request.Request, *machinelearning.GetDataSourceOutput)

    GetEvaluation(*machinelearning.GetEvaluationInput) (*machinelearning.GetEvaluationOutput, error)
    GetEvaluationWithContext(aws.Context, *machinelearning.GetEvaluationInput, ...request.Option) (*machinelearning.GetEvaluationOutput, error)
    GetEvaluationRequest(*machinelearning.GetEvaluationInput) (*request.Request, *machinelearning.GetEvaluationOutput)

    GetMLModel(*machinelearning.GetMLModelInput) (*machinelearning.GetMLModelOutput, error)
    GetMLModelWithContext(aws.Context, *machinelearning.GetMLModelInput, ...request.Option) (*machinelearning.GetMLModelOutput, error)
    GetMLModelRequest(*machinelearning.GetMLModelInput) (*request.Request, *machinelearning.GetMLModelOutput)

    Predict(*machinelearning.PredictInput) (*machinelearning.PredictOutput, error)
    PredictWithContext(aws.Context, *machinelearning.PredictInput, ...request.Option) (*machinelearning.PredictOutput, error)
    PredictRequest(*machinelearning.PredictInput) (*request.Request, *machinelearning.PredictOutput)

    UpdateBatchPrediction(*machinelearning.UpdateBatchPredictionInput) (*machinelearning.UpdateBatchPredictionOutput, error)
    UpdateBatchPredictionWithContext(aws.Context, *machinelearning.UpdateBatchPredictionInput, ...request.Option) (*machinelearning.UpdateBatchPredictionOutput, error)
    UpdateBatchPredictionRequest(*machinelearning.UpdateBatchPredictionInput) (*request.Request, *machinelearning.UpdateBatchPredictionOutput)

    UpdateDataSource(*machinelearning.UpdateDataSourceInput) (*machinelearning.UpdateDataSourceOutput, error)
    UpdateDataSourceWithContext(aws.Context, *machinelearning.UpdateDataSourceInput, ...request.Option) (*machinelearning.UpdateDataSourceOutput, error)
    UpdateDataSourceRequest(*machinelearning.UpdateDataSourceInput) (*request.Request, *machinelearning.UpdateDataSourceOutput)

    UpdateEvaluation(*machinelearning.UpdateEvaluationInput) (*machinelearning.UpdateEvaluationOutput, error)
    UpdateEvaluationWithContext(aws.Context, *machinelearning.UpdateEvaluationInput, ...request.Option) (*machinelearning.UpdateEvaluationOutput, error)
    UpdateEvaluationRequest(*machinelearning.UpdateEvaluationInput) (*request.Request, *machinelearning.UpdateEvaluationOutput)

    UpdateMLModel(*machinelearning.UpdateMLModelInput) (*machinelearning.UpdateMLModelOutput, error)
    UpdateMLModelWithContext(aws.Context, *machinelearning.UpdateMLModelInput, ...request.Option) (*machinelearning.UpdateMLModelOutput, error)
    UpdateMLModelRequest(*machinelearning.UpdateMLModelInput) (*request.Request, *machinelearning.UpdateMLModelOutput)

    WaitUntilBatchPredictionAvailable(*machinelearning.DescribeBatchPredictionsInput) error
    WaitUntilBatchPredictionAvailableWithContext(aws.Context, *machinelearning.DescribeBatchPredictionsInput, ...request.WaiterOption) error

    WaitUntilDataSourceAvailable(*machinelearning.DescribeDataSourcesInput) error
    WaitUntilDataSourceAvailableWithContext(aws.Context, *machinelearning.DescribeDataSourcesInput, ...request.WaiterOption) error

    WaitUntilEvaluationAvailable(*machinelearning.DescribeEvaluationsInput) error
    WaitUntilEvaluationAvailableWithContext(aws.Context, *machinelearning.DescribeEvaluationsInput, ...request.WaiterOption) error

    WaitUntilMLModelAvailable(*machinelearning.DescribeMLModelsInput) error
    WaitUntilMLModelAvailableWithContext(aws.Context, *machinelearning.DescribeMLModelsInput, ...request.WaiterOption) error
}

MachineLearningAPI provides an interface to enable mocking the machinelearning.MachineLearning service client's API operation, paginators, and waiters. This make unit testing your code that calls out to the SDK's service client's calls easier.

The best way to use this interface is so the SDK's service client's calls can be stubbed out for unit testing your code with the SDK without needing to inject custom request handlers into the SDK's request pipeline.

// myFunc uses an SDK service client to make a request to
// Amazon Machine Learning.
func myFunc(svc machinelearningiface.MachineLearningAPI) bool {
    // Make svc.AddTags request
}

func main() {
    sess := session.New()
    svc := machinelearning.New(sess)

    myFunc(svc)
}

In your _test.go file:

// Define a mock struct to be used in your unit tests of myFunc.
type mockMachineLearningClient struct {
    machinelearningiface.MachineLearningAPI
}
func (m *mockMachineLearningClient) AddTags(input *machinelearning.AddTagsInput) (*machinelearning.AddTagsOutput, error) {
    // mock response/functionality
}

func TestMyFunc(t *testing.T) {
    // Setup Test
    mockSvc := &mockMachineLearningClient{}

    myfunc(mockSvc)

    // Verify myFunc's functionality
}

It is important to note that this interface will have breaking changes when the service model is updated and adds new API operations, paginators, and waiters. Its suggested to use the pattern above for testing, or using tooling to generate mocks to satisfy the interfaces.