# 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=15.895027,
                        memory_in_gbs=199.09406,
                        cpu_baseline="BASELINE_1_8"),
                    subnet_id="ocid1.test.oc1..<unique_ID>EXAMPLE-subnetId-Value"),
                scaling_policy=oci.data_science.models.FixedSizeScalingPolicy(
                    policy_type="FIXED_SIZE",
                    instance_count=6),
                bandwidth_mbps=3145,
                maximum_bandwidth_mbps=3274),
            environment_configuration_details=oci.data_science.models.UpdateDefaultModelDeploymentEnvironmentConfigurationDetails(
                environment_configuration_type="DEFAULT",
                environment_variables={
                    'EXAMPLE_KEY_KaHF3': 'EXAMPLE_VALUE_eGZAGMzz7Bm8U1ZJEcan'})),
        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_T4WiO': 'EXAMPLE_VALUE_9qMOpHiB8zSXc9AfzKyU'},
        defined_tags={
            'EXAMPLE_KEY_2eR9C': {
                'EXAMPLE_KEY_Kjtze': 'EXAMPLE--Value'}}),
    if_match="EXAMPLE-ifMatch-Value",
    opc_request_id="90CYQWT24NQ1PTQBAWRY<unique_ID>")

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