# 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_model_deployment_response = data_science_client.create_model_deployment(
create_model_deployment_details=oci.data_science.models.CreateModelDeploymentDetails(
project_id="ocid1.test.oc1..<unique_ID>EXAMPLE-projectId-Value",
compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
model_deployment_configuration_details=oci.data_science.models.SingleModelDeploymentConfigurationDetails(
deployment_type="SINGLE_MODEL",
model_configuration_details=oci.data_science.models.ModelConfigurationDetails(
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=0.80296326,
memory_in_gbs=700.02454,
cpu_baseline="BASELINE_1_8"),
subnet_id="ocid1.test.oc1..<unique_ID>EXAMPLE-subnetId-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.CustomMetricExpressionRule(
metric_expression_rule_type="CUSTOM_EXPRESSION",
scale_in_configuration=oci.data_science.models.CustomExpressionQueryScalingConfiguration(
scaling_configuration_type="QUERY",
query="EXAMPLE-query-Value",
pending_duration="EXAMPLE-pendingDuration-Value",
instance_count_adjustment=559))],
maximum_instance_count=2,
minimum_instance_count=493,
initial_instance_count=287)],
cool_down_in_seconds=665,
is_enabled=False),
bandwidth_mbps=7087,
maximum_bandwidth_mbps=4325),
environment_configuration_details=oci.data_science.models.OcirModelDeploymentEnvironmentConfigurationDetails(
environment_configuration_type="OCIR_CONTAINER",
image="EXAMPLE-image-Value",
image_digest="EXAMPLE-imageDigest-Value",
cmd=["EXAMPLE--Value"],
entrypoint=["EXAMPLE--Value"],
server_port=244,
health_check_port=274,
environment_variables={
'EXAMPLE_KEY_WpiB2': 'EXAMPLE_VALUE_pURJsVOzA40IVRW8KS2R'})),
display_name="EXAMPLE-displayName-Value",
description="EXAMPLE-description-Value",
category_log_details=oci.data_science.models.CategoryLogDetails(
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_sY8lR': 'EXAMPLE_VALUE_42aPf7XrW1FmYKKDmnfi'},
defined_tags={
'EXAMPLE_KEY_yef7o': {
'EXAMPLE_KEY_aX8jL': 'EXAMPLE--Value'}}),
opc_request_id="QTMXJIX68E6SEQC3PO9F<unique_ID>",
opc_retry_token="EXAMPLE-opcRetryToken-Value")
# Get the data from response
print(create_model_deployment_response.data)