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