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Amazon API Gateway sample using Amazon Cognito credentials through AWS Lambda

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Setup the Secure Pet Store

Introduction

The Secure Pet Store sample is an application built in Java for AWS Lambda. It uses Amazon API Gateway to expose the Lambda function as HTTP endpoints and uses Identity and Access Management (IAM) and Amazon Cognito to retrieve temporary credentials for a user and authorize access to its APIs with.

The Secure Pet Store

  • First, create an Amazon Cognito identity pool. The identity pool should only allow Custom authentication providers. Cognito Create Identity Pool Screenshot
  • The next step in the identity pool creation process sets up the IAM roles. For the time being simply click Allow to create the identity pool. Cognito Setup IAM Role Screenshot
  • Now that we have created the Cognito Identity Pool we need to setup the DynamoDB tables. The application requires 2 DynamoDB tables: one for the users and one for the pets. The annotated objects for users and pets are com.amazonaws.apigatewaydemo.model.pet.Pet and com.amazonaws.apigatewaydemo.model.user.User in the app source code.
  • The table for the users should have only a Hash Key of type string called username.
  • The pets table also has only a Hash Key of type string called petId.

Build and Deploy the Application to AWS Lambda

The application needs to be modified to reflect the resource names created above. After adapting the configuration you package the application and deploy it as an AWS Lambda function with the necessary execution role.

  • Configure the application to utilize the correct Cognito Identity Pool and DynamoDB tables. The app reads the configuration from static variables declared in the CognitoConfiguration and DynamoDBConfiguration in the com.amazonaws.apigatewaydemo.configuration package. Open the 2 classes and set the correct values on the properties.
Class Property Description
CognitoConfiguration IDENTITY_POOL_ID The unique identifier for the Cognito Identity Pool. This values is available in the Amazon Cognito console.
CognitoConfiguration CUSTOM_PROVIDER_NAME The name of the developer provider specified during the Identity Pool creation process. You can access this value from the edit identity pool page.
DynamoDBConfiguration USERS_TABLE_NAME The name of the DynamoDB table created to store usernames and passwords
DynamoDBConfiguration PET_TABLE_NAME The name of the DynamoDB table created to store the pets
  • Now that the application is configured you can build it and package it for AWS Lambda using Maven. Open a terminal and navigate to the application folder, then run mvn package. This will create a target directory and inside it a file called api-gateway-secure-pet-store-1.0-SNAPSHOT.jar.

  • We will create an AWS Lambda function that needs access to the resources created above. Create a new role in AWS Identity and Access Management with the following policies:

    Trust Policy for the AWS Lambda execution role:

{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "lambda.amazonaws.com" }, "Action": "sts:AssumeRole" } ] }


   Policy for the AWS Lambda execution role:

   ```json
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "cognito-identity:GetOpenIdTokenForDeveloperIdentity"
            ],
            "Resource": [
                "<COGNITO_IDENTITY_POOL_ARN>"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "dynamodb:GetItem",
                "dynamodb:PutItem",
                "dynamodb:Scan",
                "dynamodb:UpdateItem"
            ],
            "Resource": [
                "<DYNAMODB_PETS_TABLE_ARN>",
                "<DYNAMODB_USERS_TABLE_ARN>"
            ]
        },
        {
            "Effect": "Allow",
            "Action": [
                "logs:*"
            ],
            "Resource": [
                "*"
            ]
        }
    ]
}
  • Open the AWS Lambda console and create a new function. Skip the blueprint selection page and go straight to the Configure Function step. In this screen give your function a name and select Java 8 as runtime. AWS Lambda will ask you to upload a ZIP file for your function. You can upload the Jar file created by the maven process directly.
  • As a Handler for your function enter com.amazonaws.apigatewaydemo.RequestRouter::lambdaHandler.
  • Use the execution role created in the previous step. Lambda Create Function Screenshot
  • Now that the Lambda function is ready we can setup the API structure in Amazon API Gateway. To easily create the entire API we are going to use the Swagger format and import this into Amazon API Gateway.
  • Open the Swagger definition in the src/main/resources/Swagger.yaml file. Search the file for x-amazon-apigateway-integration. This tag defines the integration points between API Gateway and the backend, our Lambda function. Make sure that the uri for the Lambda function is correct, it should look like this:
arn:aws:apigateway:<YOUR REGION>:lambda:path/2015-03-31/functions/<YOUR LAMBDA FUNCTION ARN>/invocations
  • You can specify the role ARN in the credentials field of the Swagger file, next to the uri field. The /pets methods use a special role: arn:aws:iam::*:user/*. This tells API Gateway to invoke the Lambda function using the caller credentials. For the /users and /login (the first 2 paths in the file) you will also have to specify the invocation role API Gateway should use to call the Lambda function. You can create a new invocation role for the /users and /login methods from the Identity and Access Management (IAM) console with the following policies:

    Trust Policy for the AWS Lambda invocation role:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Principal": {
        "Service": "apigateway.amazonaws.com"
      },
      "Action": "sts:AssumeRole"
    }
  ]
}

Policy for the AWS Lambda invocation role:

{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "lambda:InvokeFunction"
            ],
            "Resource": [
                "<LAMBDA_ARN>"
            ]
        }
    ]
}
  • Copy the Role ARN from the Role Summary page, and paste it in the credentials field of the /users and /login methods of the Swagger file.
  • Now that we have generated all resources for our API and we have all the ARNs, we should also modify the access policy of the Cognito Identity Pool to grant access to the Amazon API Gateway for authenticated users.
  • In the IAM console navigate to the roles list and open the authenticated role of your Cognito Identity Pool - the role is likely to be called Cognito_"IdentityPoolName"Auth_Role
  • Change the policy to:
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "execute-api:Invoke"
            ],
            "Resource": [
                "*"
            ]
        }
    ]
}
  • Once you have modified and saved the Swagger file to call the correct Lambda function and use your roles create a new API in Amazon API Gateway with the Import from Swagger feature.
  • You should now be able to deploy and test your API Gateway Secure Pet Store API with Amazon API Gateway

Setting up the web sample

Introduction

The web sample application is located under the /src/main/resources/web_sample folder.

Setting up the iOS sample

Step by Step setup

  • Update index.html with your: ..* FB App Id ..* AWS Federated Identity Pool ..* AWS region
  • Serve folder contents from your favorite web server or S3.
  • Make sure to whitelist FB oauth redirect.
  • Run and check console to see that it works. Expect to see a message like this in the console: Cognito Identity Id: us-east-1:5f0f0537-dd55-4349-8b2f-d5df47ed8e41
  • After it works, try modifying index.html to use the aws credentials to make a call to your API by adding a generated javascript SDK from API Gateway.

Introduction

The iOS sample application is located under the /src/main/resources/ios_sample folder. It uses CocoaPods to retrieve its dependencies and includes an iOS client SDK generated with API Gateway.

Step by Step setup

  • If you don't have CocoaPods installed, follow the installation instructions on the website
  • The first step is to copy the contents of the ios_sample folder to a new project directory.
  • Open a terminal and navigate to the new project directory cd /your/project/dir
  • To install the dependencies using CocoaPods run pod install from the terminal in the project folder
  • Open the new .xcworkspace file created by CocoaPods in the project folder using XCode
  • From XCode open the PetTest/ClientSDK/PETLambdaMicroserviceClient.m file
  • On line 117 change the *URLString definition to match the url of your API deployment with Amazon API Gateway

The AWSCredentialsProvider

In order to provide credentials to our SDK, and make calls to the Secure Pet Store backend, we have created a custom implementation of the AWSCredentialsProvider object. The AWSCredentialsProvider interface declares a single method, (AWSTask *)refresh. This method is called by the generated SDK whenever it needs credentials and is in charge of fetching a new set of temporary AWS credentials from your backend and storing them in its _accessKey, _secretKey, and session_key properties.

Our custom implementation is located under PetTest/APIGSessionCredentialsProvider. The refresh method uses the generated client to call the login method with a cached username and password. The login method from our backend verifies the credentials and responds with a set of temporary AWS credentials.

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