# 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_pipeline_response = data_science_client.create_pipeline(
create_pipeline_details=oci.data_science.models.CreatePipelineDetails(
project_id="ocid1.test.oc1..<unique_ID>EXAMPLE-projectId-Value",
compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
step_details=[
oci.data_science.models.PipelineMLJobStepDetails(
step_type="ML_JOB",
step_name="EXAMPLE-stepName-Value",
job_id="ocid1.test.oc1..<unique_ID>EXAMPLE-jobId-Value",
description="EXAMPLE-description-Value",
depends_on=["EXAMPLE--Value"],
step_configuration_details=oci.data_science.models.PipelineStepConfigurationDetails(
maximum_runtime_in_minutes=1038,
environment_variables={
'EXAMPLE_KEY_nEuxx': 'EXAMPLE_VALUE_LnXc1uGLFzsxQQ0grN3f'},
command_line_arguments="EXAMPLE-commandLineArguments-Value"))],
display_name="EXAMPLE-displayName-Value",
description="EXAMPLE-description-Value",
configuration_details=oci.data_science.models.PipelineDefaultConfigurationDetails(
type="DEFAULT",
maximum_runtime_in_minutes=416,
environment_variables={
'EXAMPLE_KEY_zX82M': 'EXAMPLE_VALUE_fBf9ZATiJZMs1FAKKNJa'},
command_line_arguments="EXAMPLE-commandLineArguments-Value"),
log_configuration_details=oci.data_science.models.PipelineLogConfigurationDetails(
enable_logging=True,
enable_auto_log_creation=False,
log_group_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logGroupId-Value",
log_id="ocid1.test.oc1..<unique_ID>EXAMPLE-logId-Value"),
infrastructure_configuration_details=oci.data_science.models.PipelineInfrastructureConfigurationDetails(
shape_name="EXAMPLE-shapeName-Value",
block_storage_size_in_gbs=3123,
subnet_id="ocid1.test.oc1..<unique_ID>EXAMPLE-subnetId-Value",
shape_config_details=oci.data_science.models.PipelineShapeConfigDetails(
ocpus=56.33443,
memory_in_gbs=392.1574)),
storage_mount_configuration_details_list=[
oci.data_science.models.ObjectStorageMountConfigurationDetails(
storage_type="OBJECT_STORAGE",
destination_directory_name="EXAMPLE-destinationDirectoryName-Value",
namespace="EXAMPLE-namespace-Value",
bucket="EXAMPLE-bucket-Value",
destination_path="EXAMPLE-destinationPath-Value",
prefix="EXAMPLE-prefix-Value")],
freeform_tags={
'EXAMPLE_KEY_mRhgd': 'EXAMPLE_VALUE_BYcqPxgDE8P6xyvlf4Ez'},
defined_tags={
'EXAMPLE_KEY_mZTaI': {
'EXAMPLE_KEY_z63ji': 'EXAMPLE--Value'}}),
opc_retry_token="EXAMPLE-opcRetryToken-Value",
opc_request_id="MDYSXFMDNCIQMVJLSEVY<unique_ID>")
# Get the data from response
print(create_pipeline_response.data)