# 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).

import oci

# Create a default config using DEFAULT profile in default location
# Refer to
# https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File
# for more info
config = oci.config.from_file()


# Initialize service client with default config file
data_science_client = oci.data_science.DataScienceClient(config)


# Send the request to service, some parameters are not required, see API
# doc for more info
update_model_deployment_response = data_science_client.update_model_deployment(
    model_deployment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-modelDeploymentId-Value",
    update_model_deployment_details=oci.data_science.models.UpdateModelDeploymentDetails(
        display_name="EXAMPLE-displayName-Value",
        description="EXAMPLE-description-Value",
        model_deployment_configuration_details=oci.data_science.models.UpdateSingleModelDeploymentConfigurationDetails(
            deployment_type="SINGLE_MODEL",
            model_configuration_details=oci.data_science.models.UpdateModelConfigurationDetails(
                model_id="ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value",
                instance_configuration=oci.data_science.models.InstanceConfiguration(
                    instance_shape_name="EXAMPLE-instanceShapeName-Value",
                    model_deployment_instance_shape_config_details=oci.data_science.models.ModelDeploymentInstanceShapeConfigDetails(
                        ocpus=19.623642,
                        memory_in_gbs=433.43103,
                        cpu_baseline="BASELINE_1_1"),
                    subnet_id="ocid1.test.oc1..<unique_ID>EXAMPLE-subnetId-Value",
                    private_endpoint_id="ocid1.test.oc1..<unique_ID>EXAMPLE-privateEndpointId-Value"),
                scaling_policy=oci.data_science.models.AutoScalingPolicy(
                    policy_type="AUTOSCALING",
                    auto_scaling_policies=[
                                oci.data_science.models.ThresholdBasedAutoScalingPolicyDetails(
                                    auto_scaling_policy_type="THRESHOLD",
                                    rules=[
                                        oci.data_science.models.PredefinedMetricExpressionRule(
                                            metric_expression_rule_type="PREDEFINED_EXPRESSION",
                                            metric_type="CPU_UTILIZATION",
                                            scale_in_configuration=oci.data_science.models.PredefinedExpressionThresholdScalingConfiguration(
                                                scaling_configuration_type="THRESHOLD",
                                                threshold=106,
                                                pending_duration="EXAMPLE-pendingDuration-Value",
                                                instance_count_adjustment=348))],
                                    maximum_instance_count=5,
                                    minimum_instance_count=181,
                                    initial_instance_count=2)],
                    cool_down_in_seconds=615,
                    is_enabled=False),
                bandwidth_mbps=5794,
                maximum_bandwidth_mbps=4304),
            environment_configuration_details=oci.data_science.models.UpdateOcirModelDeploymentEnvironmentConfigurationDetails(
                environment_configuration_type="OCIR_CONTAINER",
                image="EXAMPLE-image-Value",
                image_digest="EXAMPLE-imageDigest-Value",
                cmd=["EXAMPLE--Value"],
                entrypoint=["EXAMPLE--Value"],
                server_port=972,
                health_check_port=827,
                environment_variables={
                    'EXAMPLE_KEY_gt5OW': 'EXAMPLE_VALUE_RbhUrKCTGHN83rJ5pkyt'})),
        category_log_details=oci.data_science.models.UpdateCategoryLogDetails(
            access=oci.data_science.models.LogDetails(
                log_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value",
                log_group_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value"),
            predict=oci.data_science.models.LogDetails(
                log_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value",
                log_group_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value")),
        freeform_tags={
            'EXAMPLE_KEY_XeNbl': 'EXAMPLE_VALUE_4xTYviUPY7Nwm14GKnKq'},
        defined_tags={
            'EXAMPLE_KEY_awHUd': {
                'EXAMPLE_KEY_0LrR0': 'EXAMPLE--Value'}}),
    if_match="EXAMPLE-ifMatch-Value",
    opc_request_id="EWWCRWJQ6OEBTSWHN9CS<unique_ID>")

# Get the data from response
print(update_model_deployment_response.headers)