// Code generated by smithy-go-codegen DO NOT EDIT.

package lookoutequipment

import (
	"context"
	"fmt"
	awsmiddleware "github.com/aws/aws-sdk-go-v2/aws/middleware"
	"github.com/aws/aws-sdk-go-v2/service/lookoutequipment/types"
	"github.com/aws/smithy-go/middleware"
	smithyhttp "github.com/aws/smithy-go/transport/http"
	"time"
)

// Creates a machine learning model for data inference.
//
// A machine-learning (ML) model is a mathematical model that finds patterns in
// your data. In Amazon Lookout for Equipment, the model learns the patterns of
// normal behavior and detects abnormal behavior that could be potential equipment
// failure (or maintenance events). The models are made by analyzing normal data
// and abnormalities in machine behavior that have already occurred.
//
// Your model is trained using a portion of the data from your dataset and uses
// that data to learn patterns of normal behavior and abnormal patterns that lead
// to equipment failure. Another portion of the data is used to evaluate the
// model's accuracy.
func (c *Client) CreateModel(ctx context.Context, params *CreateModelInput, optFns ...func(*Options)) (*CreateModelOutput, error) {
	if params == nil {
		params = &CreateModelInput{}
	}

	result, metadata, err := c.invokeOperation(ctx, "CreateModel", params, optFns, c.addOperationCreateModelMiddlewares)
	if err != nil {
		return nil, err
	}

	out := result.(*CreateModelOutput)
	out.ResultMetadata = metadata
	return out, nil
}

type CreateModelInput struct {

	// A unique identifier for the request. If you do not set the client request
	// token, Amazon Lookout for Equipment generates one.
	//
	// This member is required.
	ClientToken *string

	// The name of the dataset for the machine learning model being created.
	//
	// This member is required.
	DatasetName *string

	// The name for the machine learning model to be created.
	//
	// This member is required.
	ModelName *string

	// The configuration is the TargetSamplingRate , which is the sampling rate of the
	// data after post processing by Amazon Lookout for Equipment. For example, if you
	// provide data that has been collected at a 1 second level and you want the system
	// to resample the data at a 1 minute rate before training, the TargetSamplingRate
	// is 1 minute.
	//
	// When providing a value for the TargetSamplingRate , you must attach the prefix
	// "PT" to the rate you want. The value for a 1 second rate is therefore PT1S, the
	// value for a 15 minute rate is PT15M, and the value for a 1 hour rate is PT1H
	DataPreProcessingConfiguration *types.DataPreProcessingConfiguration

	// The data schema for the machine learning model being created.
	DatasetSchema *types.DatasetSchema

	//  Indicates the time reference in the dataset that should be used to end the
	// subset of evaluation data for the machine learning model.
	EvaluationDataEndTime *time.Time

	// Indicates the time reference in the dataset that should be used to begin the
	// subset of evaluation data for the machine learning model.
	EvaluationDataStartTime *time.Time

	// The input configuration for the labels being used for the machine learning
	// model that's being created.
	LabelsInputConfiguration *types.LabelsInputConfiguration

	// The Amazon S3 location where you want Amazon Lookout for Equipment to save the
	// pointwise model diagnostics.
	//
	// You must also specify the RoleArn request parameter.
	ModelDiagnosticsOutputConfiguration *types.ModelDiagnosticsOutputConfiguration

	// Indicates that the asset associated with this sensor has been shut off. As long
	// as this condition is met, Lookout for Equipment will not use data from this
	// asset for training, evaluation, or inference.
	OffCondition *string

	//  The Amazon Resource Name (ARN) of a role with permission to access the data
	// source being used to create the machine learning model.
	RoleArn *string

	// Provides the identifier of the KMS key used to encrypt model data by Amazon
	// Lookout for Equipment.
	ServerSideKmsKeyId *string

	//  Any tags associated with the machine learning model being created.
	Tags []types.Tag

	// Indicates the time reference in the dataset that should be used to end the
	// subset of training data for the machine learning model.
	TrainingDataEndTime *time.Time

	// Indicates the time reference in the dataset that should be used to begin the
	// subset of training data for the machine learning model.
	TrainingDataStartTime *time.Time

	noSmithyDocumentSerde
}

type CreateModelOutput struct {

	// The Amazon Resource Name (ARN) of the model being created.
	ModelArn *string

	// Indicates the status of the CreateModel operation.
	Status types.ModelStatus

	// Metadata pertaining to the operation's result.
	ResultMetadata middleware.Metadata

	noSmithyDocumentSerde
}

func (c *Client) addOperationCreateModelMiddlewares(stack *middleware.Stack, options Options) (err error) {
	if err := stack.Serialize.Add(&setOperationInputMiddleware{}, middleware.After); err != nil {
		return err
	}
	err = stack.Serialize.Add(&awsAwsjson10_serializeOpCreateModel{}, middleware.After)
	if err != nil {
		return err
	}
	err = stack.Deserialize.Add(&awsAwsjson10_deserializeOpCreateModel{}, middleware.After)
	if err != nil {
		return err
	}
	if err := addProtocolFinalizerMiddlewares(stack, options, "CreateModel"); err != nil {
		return fmt.Errorf("add protocol finalizers: %v", err)
	}

	if err = addlegacyEndpointContextSetter(stack, options); err != nil {
		return err
	}
	if err = addSetLoggerMiddleware(stack, options); err != nil {
		return err
	}
	if err = addClientRequestID(stack); err != nil {
		return err
	}
	if err = addComputeContentLength(stack); err != nil {
		return err
	}
	if err = addResolveEndpointMiddleware(stack, options); err != nil {
		return err
	}
	if err = addComputePayloadSHA256(stack); err != nil {
		return err
	}
	if err = addRetry(stack, options); err != nil {
		return err
	}
	if err = addRawResponseToMetadata(stack); err != nil {
		return err
	}
	if err = 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 = addSetLegacyContextSigningOptionsMiddleware(stack); err != nil {
		return err
	}
	if err = addTimeOffsetBuild(stack, c); err != nil {
		return err
	}
	if err = addUserAgentRetryMode(stack, options); err != nil {
		return err
	}
	if err = addIdempotencyToken_opCreateModelMiddleware(stack, options); err != nil {
		return err
	}
	if err = addOpCreateModelValidationMiddleware(stack); err != nil {
		return err
	}
	if err = stack.Initialize.Add(newServiceMetadataMiddleware_opCreateModel(options.Region), middleware.Before); err != nil {
		return err
	}
	if err = 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
	}
	if err = addDisableHTTPSMiddleware(stack, options); err != nil {
		return err
	}
	return nil
}

type idempotencyToken_initializeOpCreateModel struct {
	tokenProvider IdempotencyTokenProvider
}

func (*idempotencyToken_initializeOpCreateModel) ID() string {
	return "OperationIdempotencyTokenAutoFill"
}

func (m *idempotencyToken_initializeOpCreateModel) HandleInitialize(ctx context.Context, in middleware.InitializeInput, next middleware.InitializeHandler) (
	out middleware.InitializeOutput, metadata middleware.Metadata, err error,
) {
	if m.tokenProvider == nil {
		return next.HandleInitialize(ctx, in)
	}

	input, ok := in.Parameters.(*CreateModelInput)
	if !ok {
		return out, metadata, fmt.Errorf("expected middleware input to be of type *CreateModelInput ")
	}

	if input.ClientToken == nil {
		t, err := m.tokenProvider.GetIdempotencyToken()
		if err != nil {
			return out, metadata, err
		}
		input.ClientToken = &t
	}
	return next.HandleInitialize(ctx, in)
}
func addIdempotencyToken_opCreateModelMiddleware(stack *middleware.Stack, cfg Options) error {
	return stack.Initialize.Add(&idempotencyToken_initializeOpCreateModel{tokenProvider: cfg.IdempotencyTokenProvider}, middleware.Before)
}

func newServiceMetadataMiddleware_opCreateModel(region string) *awsmiddleware.RegisterServiceMetadata {
	return &awsmiddleware.RegisterServiceMetadata{
		Region:        region,
		ServiceID:     ServiceID,
		OperationName: "CreateModel",
	}
}