# 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.UpdateModelGroupDeploymentConfigurationDetails(
            deployment_type="MODEL_GROUP",
            update_type="ZDT",
            model_group_configuration_details=oci.data_science.models.UpdateModelGroupConfigurationDetails(
                model_group_id="ocid1.test.oc1..<unique_ID>EXAMPLE-modelGroupId-Value"),
            infrastructure_configuration_details=oci.data_science.models.UpdateInstancePoolInfrastructureConfigurationDetails(
                infrastructure_type="INSTANCE_POOL",
                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=2.6441689,
                        memory_in_gbs=143.11713,
                        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",
                    network_access_type="MANAGED_NETWORKING_NO_INTERNET_ACCESS",
                    capacity_reservation_ids=["EXAMPLE--Value"]),
                scaling_policy=oci.data_science.models.FixedSizeScalingPolicy(
                    policy_type="FIXED_SIZE",
                    instance_count=6),
                bandwidth_mbps=7019,
                maximum_bandwidth_mbps=5216),
            environment_configuration_details=oci.data_science.models.UpdateOcirModelDeploymentEnvironmentConfigurationDetails(
                environment_configuration_type="OCIR_CONTAINER",
                image="EXAMPLE-image-Value",
                image_digest="EXAMPLE-imageDigest-Value",
                image_signature_id="ocid1.test.oc1..<unique_ID>EXAMPLE-imageSignatureId-Value",
                cmd=["EXAMPLE--Value"],
                entrypoint=["EXAMPLE--Value"],
                server_port=329,
                health_check_port=94,
                environment_variables={
                    'EXAMPLE_KEY_XXNhf': 'EXAMPLE_VALUE_qzMChYO1CPxF43CQI8xk'},
                predict_api_specification="EXAMPLE-predictApiSpecification-Value",
                custom_http_endpoints=[
                    oci.data_science.models.InferenceHttpEndpoint(
                        endpoint_uri_suffix="EXAMPLE-endpointUriSuffix-Value",
                        http_methods=[
                            "GET",
                            "PUT",
                            "POST",
                            "DELETE",
                            "HEAD"])])),
        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_Yc1vl': 'EXAMPLE_VALUE_EnI5WXVQq7UoRTSt27KZ'},
        defined_tags={
            'EXAMPLE_KEY_5eBLD': {
                'EXAMPLE_KEY_Xgskt': 'EXAMPLE--Value'}}),
    if_match="EXAMPLE-ifMatch-Value",
    opc_request_id="PN8CJMJ4XH5GIWKYVQBB<unique_ID>")

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