# 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
create_compute_target_response = data_science_client.create_compute_target(
    create_compute_target_details=oci.data_science.models.CreateComputeTargetDetails(
        compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
        compute_configuration_details=oci.data_science.models.ManagedComputeClusterComputeConfigurationDetails(
            compute_type="MANAGED_COMPUTE_CLUSTER",
            instance_configuration=oci.data_science.models.ManagedComputeClusterInstanceConfigurationDetails(
                instance_shape="EXAMPLE-instanceShape-Value",
                capacity_reservation_ids=["EXAMPLE--Value"],
                boot_volume_size_in_gbs=2325,
                instance_shape_details=oci.data_science.models.ManagedComputeClusterInstanceShapeDetails(
                    ocpus=5098.574,
                    memory_in_gbs=8095.73)),
            scaling_policy=oci.data_science.models.ManagedComputeClusterAutoScalingPolicy(
                policy_type="AUTOSCALING",
                auto_scaling_policies=[
                            oci.data_science.models.ManagedComputeClusterThresholdBasedAutoScalingPolicyDetails(
                                auto_scaling_policy_type="THRESHOLD",
                                rules=[
                                    oci.data_science.models.ManagedComputeClusterPredefinedMetricExpressionRule(
                                        metric_expression_rule_type="PREDEFINED_EXPRESSION",
                                        metric_type="CPU_UTILIZATION",
                                        scale_in_configuration=oci.data_science.models.ManagedComputeClusterPredefinedExpressionThresholdScalingConfiguration(
                                            scaling_configuration_type="THRESHOLD",
                                            threshold=544,
                                            pending_duration="EXAMPLE-pendingDuration-Value",
                                            instance_count_adjustment=993))],
                                maximum_instance_count=902,
                                minimum_instance_count=596,
                                initial_instance_count=440)],
                cool_down_in_seconds=835,
                is_enabled=True)),
        display_name="EXAMPLE-displayName-Value",
        description="EXAMPLE-description-Value",
        metadata={
            'EXAMPLE_KEY_IEsHJ': 'EXAMPLE_VALUE_wutnzRR3LOINu7u2BnpW'},
        freeform_tags={
            'EXAMPLE_KEY_4o1Vs': 'EXAMPLE_VALUE_DSXaw0dK9AhIXcnK8Npf'},
        defined_tags={
            'EXAMPLE_KEY_KTC5B': {
                'EXAMPLE_KEY_nt5sC': 'EXAMPLE--Value'}}),
    opc_request_id="TFUHC3XHNSNVHCWZXPDV<unique_ID>",
    opc_retry_token="EXAMPLE-opcRetryToken-Value")

# Get the data from response
print(create_compute_target_response.data)