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215 lines
7.8 KiB
Go
215 lines
7.8 KiB
Go
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// Code generated by private/model/cli/gen-api/main.go. DO NOT EDIT.
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package machinelearning
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import (
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"time"
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"github.com/aws/aws-sdk-go/aws"
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"github.com/aws/aws-sdk-go/aws/request"
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)
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// WaitUntilBatchPredictionAvailable uses the Amazon Machine Learning API operation
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// DescribeBatchPredictions to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// be returned.
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func (c *MachineLearning) WaitUntilBatchPredictionAvailable(input *DescribeBatchPredictionsInput) error {
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return c.WaitUntilBatchPredictionAvailableWithContext(aws.BackgroundContext(), input)
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}
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// WaitUntilBatchPredictionAvailableWithContext is an extended version of WaitUntilBatchPredictionAvailable.
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// With the support for passing in a context and options to configure the
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// Waiter and the underlying request options.
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//
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// The context must be non-nil and will be used for request cancellation. If
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// the context is nil a panic will occur. In the future the SDK may create
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// sub-contexts for http.Requests. See https://golang.org/pkg/context/
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// for more information on using Contexts.
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func (c *MachineLearning) WaitUntilBatchPredictionAvailableWithContext(ctx aws.Context, input *DescribeBatchPredictionsInput, opts ...request.WaiterOption) error {
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w := request.Waiter{
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Name: "WaitUntilBatchPredictionAvailable",
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MaxAttempts: 60,
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Delay: request.ConstantWaiterDelay(30 * time.Second),
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Acceptors: []request.WaiterAcceptor{
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{
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State: request.SuccessWaiterState,
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Matcher: request.PathAllWaiterMatch, Argument: "Results[].Status",
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Expected: "COMPLETED",
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},
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{
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State: request.FailureWaiterState,
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Matcher: request.PathAnyWaiterMatch, Argument: "Results[].Status",
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Expected: "FAILED",
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},
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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var inCpy *DescribeBatchPredictionsInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeBatchPredictionsRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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},
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}
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w.ApplyOptions(opts...)
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return w.WaitWithContext(ctx)
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}
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// WaitUntilDataSourceAvailable uses the Amazon Machine Learning API operation
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// DescribeDataSources to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// be returned.
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func (c *MachineLearning) WaitUntilDataSourceAvailable(input *DescribeDataSourcesInput) error {
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return c.WaitUntilDataSourceAvailableWithContext(aws.BackgroundContext(), input)
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}
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// WaitUntilDataSourceAvailableWithContext is an extended version of WaitUntilDataSourceAvailable.
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// With the support for passing in a context and options to configure the
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// Waiter and the underlying request options.
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//
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// The context must be non-nil and will be used for request cancellation. If
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// the context is nil a panic will occur. In the future the SDK may create
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// sub-contexts for http.Requests. See https://golang.org/pkg/context/
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// for more information on using Contexts.
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func (c *MachineLearning) WaitUntilDataSourceAvailableWithContext(ctx aws.Context, input *DescribeDataSourcesInput, opts ...request.WaiterOption) error {
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w := request.Waiter{
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Name: "WaitUntilDataSourceAvailable",
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MaxAttempts: 60,
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Delay: request.ConstantWaiterDelay(30 * time.Second),
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Acceptors: []request.WaiterAcceptor{
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{
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State: request.SuccessWaiterState,
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Matcher: request.PathAllWaiterMatch, Argument: "Results[].Status",
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Expected: "COMPLETED",
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},
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{
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State: request.FailureWaiterState,
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Matcher: request.PathAnyWaiterMatch, Argument: "Results[].Status",
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Expected: "FAILED",
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},
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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var inCpy *DescribeDataSourcesInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeDataSourcesRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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},
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}
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w.ApplyOptions(opts...)
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return w.WaitWithContext(ctx)
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}
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// WaitUntilEvaluationAvailable uses the Amazon Machine Learning API operation
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// DescribeEvaluations to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// be returned.
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func (c *MachineLearning) WaitUntilEvaluationAvailable(input *DescribeEvaluationsInput) error {
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return c.WaitUntilEvaluationAvailableWithContext(aws.BackgroundContext(), input)
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}
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// WaitUntilEvaluationAvailableWithContext is an extended version of WaitUntilEvaluationAvailable.
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// With the support for passing in a context and options to configure the
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// Waiter and the underlying request options.
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//
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// The context must be non-nil and will be used for request cancellation. If
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// the context is nil a panic will occur. In the future the SDK may create
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// sub-contexts for http.Requests. See https://golang.org/pkg/context/
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// for more information on using Contexts.
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func (c *MachineLearning) WaitUntilEvaluationAvailableWithContext(ctx aws.Context, input *DescribeEvaluationsInput, opts ...request.WaiterOption) error {
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w := request.Waiter{
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Name: "WaitUntilEvaluationAvailable",
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MaxAttempts: 60,
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Delay: request.ConstantWaiterDelay(30 * time.Second),
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Acceptors: []request.WaiterAcceptor{
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{
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State: request.SuccessWaiterState,
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Matcher: request.PathAllWaiterMatch, Argument: "Results[].Status",
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Expected: "COMPLETED",
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},
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{
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State: request.FailureWaiterState,
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Matcher: request.PathAnyWaiterMatch, Argument: "Results[].Status",
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Expected: "FAILED",
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},
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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var inCpy *DescribeEvaluationsInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeEvaluationsRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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},
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}
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w.ApplyOptions(opts...)
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return w.WaitWithContext(ctx)
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}
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// WaitUntilMLModelAvailable uses the Amazon Machine Learning API operation
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// DescribeMLModels to wait for a condition to be met before returning.
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// If the condition is not meet within the max attempt window an error will
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// be returned.
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func (c *MachineLearning) WaitUntilMLModelAvailable(input *DescribeMLModelsInput) error {
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return c.WaitUntilMLModelAvailableWithContext(aws.BackgroundContext(), input)
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}
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// WaitUntilMLModelAvailableWithContext is an extended version of WaitUntilMLModelAvailable.
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// With the support for passing in a context and options to configure the
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// Waiter and the underlying request options.
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//
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// The context must be non-nil and will be used for request cancellation. If
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// the context is nil a panic will occur. In the future the SDK may create
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// sub-contexts for http.Requests. See https://golang.org/pkg/context/
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// for more information on using Contexts.
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func (c *MachineLearning) WaitUntilMLModelAvailableWithContext(ctx aws.Context, input *DescribeMLModelsInput, opts ...request.WaiterOption) error {
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w := request.Waiter{
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Name: "WaitUntilMLModelAvailable",
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MaxAttempts: 60,
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Delay: request.ConstantWaiterDelay(30 * time.Second),
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Acceptors: []request.WaiterAcceptor{
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{
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State: request.SuccessWaiterState,
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Matcher: request.PathAllWaiterMatch, Argument: "Results[].Status",
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Expected: "COMPLETED",
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},
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{
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State: request.FailureWaiterState,
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Matcher: request.PathAnyWaiterMatch, Argument: "Results[].Status",
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Expected: "FAILED",
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},
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},
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Logger: c.Config.Logger,
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NewRequest: func(opts []request.Option) (*request.Request, error) {
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var inCpy *DescribeMLModelsInput
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if input != nil {
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tmp := *input
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inCpy = &tmp
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}
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req, _ := c.DescribeMLModelsRequest(inCpy)
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req.SetContext(ctx)
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req.ApplyOptions(opts...)
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return req, nil
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},
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}
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w.ApplyOptions(opts...)
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return w.WaitWithContext(ctx)
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}
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