// This is an automatically generated code sample.
// To make this code sample work in your Oracle Cloud tenancy,
// please replace the values for any parameters whose current values do not fit
// your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and
// boolean, number, and enum parameters with values not fitting your use case).

package main

import (
	"context"
	"fmt"

	"github.com/oracle/oci-go-sdk/v65/common"
	"github.com/oracle/oci-go-sdk/v65/datascience"
	"github.com/oracle/oci-go-sdk/v65/example/helpers"
)

func ExampleUpdateModelDeployment() {
	// Create a default authentication provider that uses the DEFAULT
	// profile in the configuration file.
	// Refer to <see href="https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File>the public documentation</see> on how to prepare a configuration file.
	client, err := datascience.NewDataScienceClientWithConfigurationProvider(common.DefaultConfigProvider())
	helpers.FatalIfError(err)

	// Create a request and dependent object(s).

	req := datascience.UpdateModelDeploymentRequest{OpcRequestId: common.String("NBRETGH2UFVHPE2LVCUJ<unique_ID>"),
		UpdateModelDeploymentDetails: datascience.UpdateModelDeploymentDetails{CategoryLogDetails: &datascience.UpdateCategoryLogDetails{Predict: &datascience.LogDetails{LogGroupId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value"),
			LogId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value")},
			Access: &datascience.LogDetails{LogGroupId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value"),
				LogId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value")}},
			DefinedTags:  map[string]map[string]interface{}{"EXAMPLE_KEY_AYWpk": map[string]interface{}{"EXAMPLE_KEY_pEo8z": "EXAMPLE--Value"}},
			Description:  common.String("EXAMPLE-description-Value"),
			DisplayName:  common.String("EXAMPLE-displayName-Value"),
			FreeformTags: map[string]string{"EXAMPLE_KEY_18Q1P": "EXAMPLE_VALUE_r50CtGq8epo0S0emnWiZ"},
			ModelDeploymentConfigurationDetails: datascience.UpdateSingleModelDeploymentFlexConfigurationDetails{EnvironmentConfigurationDetails: datascience.UpdateOcirModelDeploymentEnvironmentConfigurationDetails{EnvironmentVariables: map[string]string{"EXAMPLE_KEY_LrVxb": "EXAMPLE_VALUE_88SYC6FjUl8oJD1c8ujC"},
				HealthCheckPort:         common.Int(651),
				ImageDigest:             common.String("EXAMPLE-imageDigest-Value"),
				PredictApiSpecification: common.String("EXAMPLE-predictApiSpecification-Value"),
				Cmd:                     []string{"EXAMPLE--Value"},
				CustomHttpEndpoints: []datascience.InferenceHttpEndpoint{datascience.InferenceHttpEndpoint{EndpointUriSuffix: common.String("EXAMPLE-endpointUriSuffix-Value"),
					HttpMethods: []datascience.HttpMethodEnum{datascience.HttpMethodGet,
						datascience.HttpMethodPut,
						datascience.HttpMethodPost,
						datascience.HttpMethodDelete,
						datascience.HttpMethodHead}}},
				Entrypoint:       []string{"EXAMPLE--Value"},
				Image:            common.String("EXAMPLE-image-Value"),
				ImageSignatureId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-imageSignatureId-Value"),
				ServerPort:       common.Int(975)},
				InfrastructureConfigurationDetails: datascience.UpdateManagedComputeClusterModelDeployInfrastructureConfigDetails{ComputeTargetId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-computeTargetId-Value"),
					ModelDeploymentResourceConfiguration: &datascience.ManagedComputeClusterModelDeploymentResourceConfiguration{ResourceLimitConfiguration: &datascience.ResourceLimitConfiguration{MemoryInGBs: common.Float32(6982.1064),
						Ocpus: common.Float32(1607.5372)},
						ResourceRequestConfiguration: &datascience.ResourceRequestConfiguration{Gpus: common.Int(693),
							MemoryInGBs: common.Float32(8450.173),
							Ocpus:       common.Float32(2504.6443)}},
					ScalingPolicy: datascience.ManagedComputeClusterWorkloadAutoScalingPolicy{AutoScalingPolicies: []datascience.ManagedComputeClusterWorkloadAutoScalingPolicyDetails{datascience.ManagedComputeClusterWorkloadThresholdBasedPolicyDetails{MinimumInstanceCount: common.Int(728),
						Rules: []datascience.ManagedComputeClusterWorkloadMetricExpressionRule{datascience.TargetPredefinedMetricExpressionRule{MetricType: datascience.TargetPredefinedMetricExpressionRuleMetricTypeMemoryUtilization,
							ScaleConfiguration: &datascience.TargetPredefinedExpressionThresholdScalingConfiguration{Threshold: common.Float32(30.462742)}}},
						ScaleInPolicy: &datascience.ManagedComputeClusterWorkloadScalePolicy{CoolDownInSeconds: common.Int(3250),
							InstanceCountAdjustment: common.Int(840),
							PendingDuration:         common.String("EXAMPLE-pendingDuration-Value")},
						ScaleOutPolicy: &datascience.ManagedComputeClusterWorkloadScalePolicy{CoolDownInSeconds: common.Int(2971),
							InstanceCountAdjustment: common.Int(581),
							PendingDuration:         common.String("EXAMPLE-pendingDuration-Value")},
						InitialInstanceCount: common.Int(333),
						MaximumInstanceCount: common.Int(863)}},
						IsEnabled: common.Bool(true)}},
				ModelConfigurationDetails: &datascience.UpdateSingleModelConfigurationDetails{ModelId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value")}}},
		IfMatch:           common.String("EXAMPLE-ifMatch-Value"),
		ModelDeploymentId: common.String("ocid1.test.oc1..<unique_ID>EXAMPLE-modelDeploymentId-Value")}

	// Send the request using the service client
	resp, err := client.UpdateModelDeployment(context.Background(), req)
	helpers.FatalIfError(err)

	// Retrieve value from the response.
	fmt.Println(resp)
}