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توضیحات

CDK Constructs for AWS API Gateway and Amazon SageMaker Endpoint integration.

ویژگی	مقدار
سیستم عامل	-
نام فایل	aws-solutions-constructs.aws-apigateway-sagemakerendpoint-2.9.0
نام	aws-solutions-constructs.aws-apigateway-sagemakerendpoint
نسخه کتابخانه	2.9.0
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Amazon Web Services
ایمیل نویسنده	-
آدرس صفحه اصلی	https://github.com/awslabs/aws-solutions-constructs.git
آدرس اینترنتی	https://pypi.org/project/aws-solutions-constructs.aws-apigateway-sagemakerendpoint/
مجوز	Apache-2.0

# aws-apigateway-sagemakerendpoint module --- ![Stability: Experimental](https://img.shields.io/badge/stability-Experimental-important.svg?style=for-the-badge) > All classes are under active development and subject to non-backward compatible changes or removal in any > future version. These are not subject to the [Semantic Versioning](https://semver.org/) model. > This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package. ---  | **Reference Documentation**:| <span style="font-weight: normal">https://docs.aws.amazon.com/solutions/latest/constructs/</span>| |:-------------|:-------------| <div style="height:8px"></div> | **Language** | **Package** | |:-------------|-----------------| |![Python Logo](https://docs.aws.amazon.com/cdk/api/latest/img/python32.png) Python|`aws_solutions_constructs.aws_apigateway_sagemakerendpoint`| |![Typescript Logo](https://docs.aws.amazon.com/cdk/api/latest/img/typescript32.png) Typescript|`@aws-solutions-constructs/aws-apigateway-sagemakerendpoint`| |![Java Logo](https://docs.aws.amazon.com/cdk/api/latest/img/java32.png) Java|`software.amazon.awsconstructs.services.apigatewaysagemakerendpoint`| ## Overview This AWS Solutions Construct implements an Amazon API Gateway connected to an Amazon SageMaker endpoint pattern. Here is a minimal deployable pattern definition: Typescript ```python import { Construct } from 'constructs'; import { Stack, StackProps } from 'aws-cdk-lib'; import { ApiGatewayToSageMakerEndpoint, ApiGatewayToSageMakerEndpointProps } from '@aws-solutions-constructs/aws-apigateway-sagemakerendpoint'; // Below is an example VTL (Velocity Template Language) mapping template for mapping the Api GET request to the Sagemaker POST request const requestTemplate = ` { "instances": [ # set( $user_id = $input.params("user_id") ) # set( $items = $input.params("items") ) # foreach( $item in $items.split(",") ) # if( $foreach.hasNext ),#end {"in0": [$user_id], "in1": [$item]} $esc.newline # end ] }` // Replace 'my-endpoint' with your Sagemaker Inference Endpoint new ApiGatewayToSageMakerEndpoint(this, 'test-apigw-sagemakerendpoint', { endpointName: 'my-endpoint', resourcePath: '{user_id}', requestMappingTemplate: requestTemplate }); ``` Python ```python from aws_solutions_constructs.aws_apigateway_sagemakerendpoint import ApiGatewayToSageMakerEndpoint from aws_cdk import Stack from constructs import Construct # Below is an example VTL (Velocity Template Language) mapping template for mapping the Api GET request to the Sagemaker POST request request_template = """ { "instances": [ # set( $user_id = $input.params("user_id") ) # set( $items = $input.params("items") ) # foreach( $item in $items.split(",") ) # if( $foreach.hasNext ),#end {"in0": [$user_id], "in1": [$item]} $esc.newline # end ] }""" # Replace 'my-endpoint' with your Sagemaker Inference Endpoint ApiGatewayToSageMakerEndpoint(self, 'test-apigw-sagemakerendpoint', endpoint_name='my-endpoint', resource_path='{user_id}', request_mapping_template=request_template ) ``` Java ```java import software.constructs.Construct; import software.amazon.awscdk.Stack; import software.amazon.awscdk.StackProps; import software.amazon.awsconstructs.services.apigatewaysagemakerendpoint.*; // Create an example VTL (Velocity Template Language) mapping template for mapping the Api GET request to the Sagemaker POST request final String requestTemplate = "{" + "\"instances\": [" + "# set( $user_id = $input.params(\"user_id\") )" + "# set( $items = $input.params(\"items\") )" + "# foreach( $item in $items.split(\",\") )" + "# if( $foreach.hasNext ),#end" + "{\"in0\": [$user_id], \"in1\": [$item]}" + " $esc.newline" + "# end" + "]" + "}"; // Replace ""my-endpoint"" with your Sagemaker Inference Endpoint new ApiGatewayToSageMakerEndpoint(this, "ApiGatewayToSageMakerEndpointPattern", new ApiGatewayToSageMakerEndpointProps.Builder() .endpointName("my-endpoint") .resourcePath("{user_id}") .requestMappingTemplate(requestTemplate) .build()); ``` ## Pattern Construct Props | **Name** | **Type** | **Description** | |:-------------|:----------------|-----------------| |apiGatewayProps?|[`api.RestApiProps`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_apigateway.RestApiProps.html)|Optional user-provided props to override the default props for the API Gateway.| |apiGatewayExecutionRole?|[`iam.Role`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_iam.Role.html)|IAM Role used by API Gateway to invoke the SageMaker endpoint. If not specified, a default role is created with access to `endpointName`.| |endpointName|`string`|Name of the deployed SageMaker inference endpoint.| |resourceName?|`string`|Optional resource name where the GET method will be available.| |resourcePath|`string`|Resource path for the GET method. The variable defined here can be referenced in `requestMappingTemplate`.| |requestMappingTemplate|`string`|Mapping template to convert GET requests for the default `application/json` content-type received on the REST API to POST requests expected by the SageMaker endpoint.| |additionalRequestTemplates|`{ [contentType: string]: string; }`|Optional Request Templates for content-types other than `application/json`. Use the `requestMappingTemplate` property to set the request template for the `application/json` content-type.| |responseMappingTemplate?|`string`|Optional mapping template to convert responses received from the SageMaker endpoint.| |logGroupProps?|[`logs.LogGroupProps`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_logs.LogGroupProps.html)|User provided props to override the default props for for the CloudWatchLogs LogGroup.| ## Pattern Properties | **Name** | **Type** | **Description** | |:-------------|:----------------|-----------------| |apiGateway|[`api.RestApi`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_apigateway.RestApi.html)|Returns an instance of the API Gateway REST API created by the pattern.| |apiGatewayRole|[`iam.Role`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_iam.Role.html)|Returns an instance of the iam.Role created by the construct for API Gateway.| |apiGatewayCloudWatchRole?|[`iam.Role`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_iam.Role.html)|Returns an instance of the iam.Role created by the construct for API Gateway for CloudWatch access.| |apiGatewayLogGroup|[`logs.LogGroup`](https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_logs.LogGroup.html)|Returns an instance of the LogGroup created by the construct for API Gateway access logging to CloudWatch.| ## Sample API Usage > **Note**: Each SageMaker endpoint is unique, and the response from the API will depend on the deployed model. The example given below assumes the sample from [this blog post](https://aws.amazon.com/blogs/machine-learning/creating-a-machine-learning-powered-rest-api-with-amazon-api-gateway-mapping-templates-and-amazon-sagemaker/). For a reference on how that'd be implemented, please refer to [integ.apigateway-sagemakerendpoint-overwrite.ts](test/integ.apigateway-sagemakerendpoint-overwrite.ts). | **Method** | **Request Path** | **Query String** | **SageMaker Action** | **Description** | |:-------------|:----------------|-----------------|-----------------|-----------------| |GET|`/321`| `items=101,131,162` |`sagemaker:InvokeEndpoint`|Retrieves the predictions for a specific user and items.| ## Default settings Out of the box implementation of the Construct without any override will set the following defaults: ### Amazon API Gateway * Deploy an edge-optimized API endpoint * Enable CloudWatch logging for API Gateway * Configure least privilege access IAM role for API Gateway * Set the default authorizationType for all API methods to IAM * Enable X-Ray Tracing * Validate request parameters before passing data to SageMaker ## Architecture ![Architecture Diagram](architecture.png) --- © Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.

نیازمندی

مقدار	نام
<3.0.0,>=2.76.0	aws-cdk-lib
==2.39.0	aws-solutions-constructs.core
<11.0.0,>=10.0.0	constructs
<2.0.0,>=1.80.0	jsii
>=0.0.3	publication
~=2.13.3	typeguard

زبان مورد نیاز

مقدار	نام
~=3.7	Python

نحوه نصب

نصب پکیج whl aws-solutions-constructs.aws-apigateway-sagemakerendpoint-2.9.0:

pip install aws-solutions-constructs.aws-apigateway-sagemakerendpoint-2.9.0.whl

نصب پکیج tar.gz aws-solutions-constructs.aws-apigateway-sagemakerendpoint-2.9.0:

pip install aws-solutions-constructs.aws-apigateway-sagemakerendpoint-2.9.0.tar.gz