Basic Support for Endpoints, EndpointConfigs and TrainingJobs (#3142)
* Basic upport for Endpoints, EndpointConfigs and TrainingJobs * Dropped extraneous pass statement. Co-authored-by: Joseph Weitekamp <jweite@amazon.com>
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5 changed files with 1007 additions and 6 deletions
246
tests/test_sagemaker/test_sagemaker_endpoint.py
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246
tests/test_sagemaker/test_sagemaker_endpoint.py
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# -*- coding: utf-8 -*-
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from __future__ import unicode_literals
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import datetime
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import boto3
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from botocore.exceptions import ClientError, ParamValidationError
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import sure # noqa
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from moto import mock_sagemaker
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from moto.sts.models import ACCOUNT_ID
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from nose.tools import assert_true, assert_equal, assert_raises
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TEST_REGION_NAME = "us-east-1"
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FAKE_ROLE_ARN = "arn:aws:iam::{}:role/FakeRole".format(ACCOUNT_ID)
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GENERIC_TAGS_PARAM = [
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{"Key": "newkey1", "Value": "newval1"},
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{"Key": "newkey2", "Value": "newval2"},
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]
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@mock_sagemaker
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def test_create_endpoint_config():
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sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
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model_name = "MyModel"
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production_variants = [
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{
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"VariantName": "MyProductionVariant",
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"ModelName": model_name,
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"InitialInstanceCount": 1,
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"InstanceType": "ml.t2.medium",
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},
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]
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endpoint_config_name = "MyEndpointConfig"
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with assert_raises(ClientError) as e:
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sagemaker.create_endpoint_config(
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EndpointConfigName=endpoint_config_name,
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ProductionVariants=production_variants,
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)
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assert_true(
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e.exception.response["Error"]["Message"].startswith("Could not find model")
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)
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_create_model(sagemaker, model_name)
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resp = sagemaker.create_endpoint_config(
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EndpointConfigName=endpoint_config_name, ProductionVariants=production_variants
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)
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resp["EndpointConfigArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint-config/{}$".format(endpoint_config_name)
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)
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resp = sagemaker.describe_endpoint_config(EndpointConfigName=endpoint_config_name)
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resp["EndpointConfigArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint-config/{}$".format(endpoint_config_name)
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)
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resp["EndpointConfigName"].should.equal(endpoint_config_name)
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resp["ProductionVariants"].should.equal(production_variants)
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@mock_sagemaker
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def test_delete_endpoint_config():
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sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
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model_name = "MyModel"
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_create_model(sagemaker, model_name)
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endpoint_config_name = "MyEndpointConfig"
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production_variants = [
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{
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"VariantName": "MyProductionVariant",
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"ModelName": model_name,
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"InitialInstanceCount": 1,
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"InstanceType": "ml.t2.medium",
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},
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]
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resp = sagemaker.create_endpoint_config(
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EndpointConfigName=endpoint_config_name, ProductionVariants=production_variants
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)
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resp["EndpointConfigArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint-config/{}$".format(endpoint_config_name)
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)
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resp = sagemaker.describe_endpoint_config(EndpointConfigName=endpoint_config_name)
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resp["EndpointConfigArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint-config/{}$".format(endpoint_config_name)
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)
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resp = sagemaker.delete_endpoint_config(EndpointConfigName=endpoint_config_name)
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with assert_raises(ClientError) as e:
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sagemaker.describe_endpoint_config(EndpointConfigName=endpoint_config_name)
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assert_true(
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e.exception.response["Error"]["Message"].startswith(
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"Could not find endpoint configuration"
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)
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)
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with assert_raises(ClientError) as e:
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sagemaker.delete_endpoint_config(EndpointConfigName=endpoint_config_name)
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assert_true(
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e.exception.response["Error"]["Message"].startswith(
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"Could not find endpoint configuration"
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)
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)
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pass
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@mock_sagemaker
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def test_create_endpoint_invalid_instance_type():
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sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
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model_name = "MyModel"
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_create_model(sagemaker, model_name)
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instance_type = "InvalidInstanceType"
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production_variants = [
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{
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"VariantName": "MyProductionVariant",
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"ModelName": model_name,
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"InitialInstanceCount": 1,
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"InstanceType": instance_type,
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},
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]
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endpoint_config_name = "MyEndpointConfig"
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with assert_raises(ClientError) as e:
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sagemaker.create_endpoint_config(
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EndpointConfigName=endpoint_config_name,
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ProductionVariants=production_variants,
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)
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assert_equal(e.exception.response["Error"]["Code"], "ValidationException")
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expected_message = "Value '{}' at 'instanceType' failed to satisfy constraint: Member must satisfy enum value set: [".format(
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instance_type
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)
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assert_true(expected_message in e.exception.response["Error"]["Message"])
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@mock_sagemaker
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def test_create_endpoint():
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sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
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endpoint_name = "MyEndpoint"
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with assert_raises(ClientError) as e:
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sagemaker.create_endpoint(
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EndpointName=endpoint_name, EndpointConfigName="NonexistentEndpointConfig"
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)
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assert_true(
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e.exception.response["Error"]["Message"].startswith(
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"Could not find endpoint configuration"
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)
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)
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model_name = "MyModel"
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_create_model(sagemaker, model_name)
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endpoint_config_name = "MyEndpointConfig"
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_create_endpoint_config(sagemaker, endpoint_config_name, model_name)
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resp = sagemaker.create_endpoint(
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EndpointName=endpoint_name,
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EndpointConfigName=endpoint_config_name,
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Tags=GENERIC_TAGS_PARAM,
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)
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resp["EndpointArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint/{}$".format(endpoint_name)
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)
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resp = sagemaker.describe_endpoint(EndpointName=endpoint_name)
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resp["EndpointArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint/{}$".format(endpoint_name)
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)
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resp["EndpointName"].should.equal(endpoint_name)
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resp["EndpointConfigName"].should.equal(endpoint_config_name)
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resp["EndpointStatus"].should.equal("InService")
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assert_true(isinstance(resp["CreationTime"], datetime.datetime))
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assert_true(isinstance(resp["LastModifiedTime"], datetime.datetime))
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resp["ProductionVariants"][0]["VariantName"].should.equal("MyProductionVariant")
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resp = sagemaker.list_tags(ResourceArn=resp["EndpointArn"])
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assert_equal(resp["Tags"], GENERIC_TAGS_PARAM)
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@mock_sagemaker
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def test_delete_endpoint():
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sagemaker = boto3.client("sagemaker", region_name=TEST_REGION_NAME)
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model_name = "MyModel"
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_create_model(sagemaker, model_name)
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endpoint_config_name = "MyEndpointConfig"
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_create_endpoint_config(sagemaker, endpoint_config_name, model_name)
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endpoint_name = "MyEndpoint"
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_create_endpoint(sagemaker, endpoint_name, endpoint_config_name)
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sagemaker.delete_endpoint(EndpointName=endpoint_name)
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with assert_raises(ClientError) as e:
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sagemaker.describe_endpoint(EndpointName=endpoint_name)
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assert_true(
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e.exception.response["Error"]["Message"].startswith("Could not find endpoint")
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)
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with assert_raises(ClientError) as e:
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sagemaker.delete_endpoint(EndpointName=endpoint_name)
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assert_true(
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e.exception.response["Error"]["Message"].startswith("Could not find endpoint")
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)
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def _create_model(boto_client, model_name):
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resp = boto_client.create_model(
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ModelName=model_name,
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PrimaryContainer={
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"Image": "382416733822.dkr.ecr.us-east-1.amazonaws.com/factorization-machines:1",
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"ModelDataUrl": "s3://MyBucket/model.tar.gz",
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},
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ExecutionRoleArn=FAKE_ROLE_ARN,
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)
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assert_equal(resp["ResponseMetadata"]["HTTPStatusCode"], 200)
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def _create_endpoint_config(boto_client, endpoint_config_name, model_name):
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production_variants = [
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{
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"VariantName": "MyProductionVariant",
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"ModelName": model_name,
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"InitialInstanceCount": 1,
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"InstanceType": "ml.t2.medium",
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},
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]
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resp = boto_client.create_endpoint_config(
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EndpointConfigName=endpoint_config_name, ProductionVariants=production_variants
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)
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resp["EndpointConfigArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint-config/{}$".format(endpoint_config_name)
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)
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def _create_endpoint(boto_client, endpoint_name, endpoint_config_name):
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resp = boto_client.create_endpoint(
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EndpointName=endpoint_name, EndpointConfigName=endpoint_config_name
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)
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resp["EndpointArn"].should.match(
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r"^arn:aws:sagemaker:.*:.*:endpoint/{}$".format(endpoint_name)
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)
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