# 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_job_response = data_science_client.create_job(
    create_job_details=oci.data_science.models.CreateJobDetails(
        project_id="ocid1.test.oc1..<unique_ID>EXAMPLE-projectId-Value",
        compartment_id="ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
        job_configuration_details=oci.data_science.models.DefaultJobConfigurationDetails(
            job_type="DEFAULT",
            environment_variables={
                'EXAMPLE_KEY_sHrgh': 'EXAMPLE_VALUE_MvVmdvf4y9CAKaWRGoJB'},
            command_line_arguments="EXAMPLE-commandLineArguments-Value",
            maximum_runtime_in_minutes=1378),
        job_infrastructure_configuration_details=oci.data_science.models.ManagedEgressStandaloneJobInfrastructureConfigurationDetails(
            job_infrastructure_type="ME_STANDALONE",
            shape_name="EXAMPLE-shapeName-Value",
            block_storage_size_in_gbs=3129,
            job_shape_config_details=oci.data_science.models.JobShapeConfigDetails(
                ocpus=8.597679,
                memory_in_gbs=911.0766)),
        display_name="EXAMPLE-displayName-Value",
        description="EXAMPLE-description-Value",
        job_environment_configuration_details=oci.data_science.models.OcirContainerJobEnvironmentConfigurationDetails(
            job_environment_type="OCIR_CONTAINER",
            image="EXAMPLE-image-Value",
            cmd=["EXAMPLE--Value"],
            entrypoint=["EXAMPLE--Value"],
            image_digest="EXAMPLE-imageDigest-Value",
            image_signature_id="ocid1.test.oc1..<unique_ID>EXAMPLE-imageSignatureId-Value"),
        job_log_configuration_details=oci.data_science.models.JobLogConfigurationDetails(
            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"),
        job_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_hUk4S': 'EXAMPLE_VALUE_H6mpBniOhpWR2JNWmtTX'},
        defined_tags={
            'EXAMPLE_KEY_Coyf1': {
                'EXAMPLE_KEY_TAq9n': 'EXAMPLE--Value'}}),
    opc_request_id="LIOYE99KNOTDOZNWPQEW<unique_ID>",
    opc_retry_token="EXAMPLE-opcRetryToken-Value")

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