testbed/aws__sagemaker-python-sdk/tests/unit/test_create_deploy_entities.py

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
#     http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompanying this file. This file is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
# ANY KIND, either express or implied. See the License for the specific
# language governing permissions and limitations under the License.
from __future__ import absolute_import

import pytest
from mock import MagicMock, Mock

import sagemaker

MODEL_NAME = "mymodelname"
ENDPOINT_CONFIG_NAME = "myendpointconfigname"
ENDPOINT_NAME = "myendpointname"
ROLE = "myimrole"
EXPANDED_ROLE = "arn:aws:iam::111111111111:role/ExpandedRole"
IMAGE = "myimage"
FULL_CONTAINER_DEF = {"Environment": {}, "Image": IMAGE, "ModelDataUrl": "s3://mybucket/mymodel"}
VPC_CONFIG = {"Subnets": ["subnet-foo"], "SecurityGroups": ["sg-foo"]}
INITIAL_INSTANCE_COUNT = 1
INSTANCE_TYPE = "ml.c4.xlarge"
ACCELERATOR_TYPE = "ml.eia.medium"
REGION = "us-west-2"


@pytest.fixture()
def sagemaker_session():
    boto_mock = MagicMock(name="boto_session", region_name=REGION)
    ims = sagemaker.Session(boto_session=boto_mock)
    ims.expand_role = Mock(return_value=EXPANDED_ROLE)
    return ims


def test_create_model(sagemaker_session):
    returned_name = sagemaker_session.create_model(
        name=MODEL_NAME, role=ROLE, container_defs=FULL_CONTAINER_DEF, vpc_config=VPC_CONFIG
    )

    assert returned_name == MODEL_NAME
    sagemaker_session.sagemaker_client.create_model.assert_called_once_with(
        ModelName=MODEL_NAME,
        PrimaryContainer=FULL_CONTAINER_DEF,
        ExecutionRoleArn=EXPANDED_ROLE,
        VpcConfig=VPC_CONFIG,
    )


def test_create_model_expand_primary_container(sagemaker_session):
    sagemaker_session.create_model(name=MODEL_NAME, role=ROLE, container_defs=IMAGE)

    _1, _2, create_model_kwargs = sagemaker_session.sagemaker_client.create_model.mock_calls[0]
    assert create_model_kwargs["PrimaryContainer"] == {"Environment": {}, "Image": IMAGE}


def test_create_endpoint_config(sagemaker_session):
    returned_name = sagemaker_session.create_endpoint_config(
        name=ENDPOINT_CONFIG_NAME,
        model_name=MODEL_NAME,
        initial_instance_count=INITIAL_INSTANCE_COUNT,
        instance_type=INSTANCE_TYPE,
    )

    assert returned_name == ENDPOINT_CONFIG_NAME
    expected_pvs = [
        {
            "ModelName": MODEL_NAME,
            "InitialInstanceCount": INITIAL_INSTANCE_COUNT,
            "InstanceType": INSTANCE_TYPE,
            "InitialVariantWeight": 1,
            "VariantName": "AllTraffic",
        }
    ]
    sagemaker_session.sagemaker_client.create_endpoint_config.assert_called_once_with(
        EndpointConfigName=ENDPOINT_CONFIG_NAME, ProductionVariants=expected_pvs, Tags=[]
    )


def test_create_endpoint_config_with_accelerator(sagemaker_session):
    returned_name = sagemaker_session.create_endpoint_config(
        name=ENDPOINT_CONFIG_NAME,
        model_name=MODEL_NAME,
        initial_instance_count=INITIAL_INSTANCE_COUNT,
        instance_type=INSTANCE_TYPE,
        accelerator_type=ACCELERATOR_TYPE,
    )

    assert returned_name == ENDPOINT_CONFIG_NAME
    expected_pvs = [
        {
            "ModelName": MODEL_NAME,
            "InitialInstanceCount": INITIAL_INSTANCE_COUNT,
            "InstanceType": INSTANCE_TYPE,
            "InitialVariantWeight": 1,
            "VariantName": "AllTraffic",
            "AcceleratorType": ACCELERATOR_TYPE,
        }
    ]
    sagemaker_session.sagemaker_client.create_endpoint_config.assert_called_once_with(
        EndpointConfigName=ENDPOINT_CONFIG_NAME, ProductionVariants=expected_pvs, Tags=[]
    )


def test_create_endpoint_no_wait(sagemaker_session):
    returned_name = sagemaker_session.create_endpoint(
        endpoint_name=ENDPOINT_NAME, config_name=ENDPOINT_CONFIG_NAME, wait=False
    )

    assert returned_name == ENDPOINT_NAME
    sagemaker_session.sagemaker_client.create_endpoint.assert_called_once_with(
        EndpointName=ENDPOINT_NAME, EndpointConfigName=ENDPOINT_CONFIG_NAME, Tags=[]
    )


def test_create_endpoint_wait(sagemaker_session):
    sagemaker_session.wait_for_endpoint = Mock()
    returned_name = sagemaker_session.create_endpoint(
        endpoint_name=ENDPOINT_NAME, config_name=ENDPOINT_CONFIG_NAME
    )

    assert returned_name == ENDPOINT_NAME
    sagemaker_session.sagemaker_client.create_endpoint.assert_called_once_with(
        EndpointName=ENDPOINT_NAME, EndpointConfigName=ENDPOINT_CONFIG_NAME, Tags=[]
    )
    sagemaker_session.wait_for_endpoint.assert_called_once_with(ENDPOINT_NAME)