aws-ip-vending

This project contains source code and supporting files for a serverless application that you can deploy with the AWS Serverless Application Model (AWS SAM) command line interface (CLI). It includes the following files and folders:

• src - Code for the application's Lambda function written in TypeScript.
• events - Invocation events that you can use to invoke the function.
• __tests__ - Unit tests for the application code.
• template.yml - A template that defines the application's AWS resources.

The application uses several AWS resources, including Lambda functions and API Gateway API. These resources are defined in the template.yml file in this project. You can update the template to add AWS resources through the same deployment process that updates your application code.

If you prefer to use an integrated development environment (IDE) to build and test your application, you can use the AWS Toolkit. The AWS Toolkit is an open-source plugin for popular IDEs that uses the AWS SAM CLI to build and deploy serverless applications on AWS. The AWS Toolkit also adds step-through debugging for Lambda function code.

To get started, see the following:

• PyCharm
• IntelliJ
• VS Code
• Visual Studio

Deploy the application

The AWS SAM CLI is an extension of the AWS CLI that adds functionality for building and testing Lambda applications. It uses Docker to run your functions in an Amazon Linux environment that matches Lambda. It can also emulate your application's build environment and API.

To use the AWS SAM CLI, you need the following tools:

• AWS SAM CLI - Install the AWS SAM CLI.
• Node.js - Install Node.js 14, including the npm package management tool.
• Docker - Install Docker community edition.

To build and deploy your application for the first time, run the following in your shell:

sam build
sam deploy --guided

The first command will build the source of your application: installs dependencies that are defined in package.json, creates a deployment package, and saves it in the .aws-sam/build folder.

The second command will package and deploy your application to AWS, with a series of prompts:

• Stack Name: The name of the stack to deploy to CloudFormation. This should be unique to your account and region, and a good starting point would be something matching your project name.
• AWS Region: The AWS region you want to deploy your app to.
• Confirm changes before deploy: If set to yes, any change sets will be shown to you before execution for manual review. If set to no, the AWS SAM CLI will automatically deploy application changes.
• Allow SAM CLI IAM role creation: Many AWS SAM templates, including this example, create AWS IAM roles required for the AWS Lambda function(s) included to access AWS services. By default, these are scoped down to minimum required permissions. To deploy an AWS CloudFormation stack which creates or modified IAM roles, the CAPABILITY_IAM value for capabilities must be provided. If permission isn't provided through this prompt, to deploy this example you must explicitly pass --capabilities CAPABILITY_IAM to the sam deploy command.
• Save arguments to samconfig.toml: If set to yes, your choices will be saved to a configuration file inside the project, so that in the future you can just re-run sam deploy without parameters to deploy changes to your application.

The API Gateway endpoint API will be displayed in the outputs when the deployment is complete.

Building of additional layers and Lambda itself

To decrease size of Lambda functions, runtime dependencies are extracted into Lambda Layer.

However, many guides (including Amazon ones) like 1 or 2 propose to move package.json to another folder which breaks local development and testing.

To keep local workflow, building of Lambda itself and its layers was changed from default “automagic” of SAM (sam build automatically copies code, installs packages, and cleans up, but this process can't be customized) to explicit steps defined in Makefile as per Building layers doc.

So, now on sam build command:

1. Only src folder is copied into function itself (however it is renamed into dist and contains TypeScript transpiled to JavaScript).
2. packages are installed into separate layer (package-lock.json is also copied for reference)
3. Local project layout isn't changed at all.

sam deploy will update layer with dependencies only if number or versions of packages were changed.

Use the AWS SAM CLI to build and test locally

Copy env.json.sample to env.json:

cp -n env.json{.sample,}

Warning: Make sure you don't have .aws-sam directory (built SAM template), because if you do, sam local invoke will use code from it and won't see your code changes.

If you have some kind of Procfile launcher like Overmind (highly recommended!) you can use it to start both TypeScript compiler in watch mode and local API gateway simultaneously:

$ overmind start

And that's it: now you can head over to http://localhost:3000/ to hit ExampleFunction!

But, sure, you still can start components independently:

Start Typescript compiler in watch mode to recompile your code on change (instead of running sam build command).

$ npm run watch

Test a single function by invoking it directly with a test event. An event is a JSON document that represents the input that the function receives from the event source. Test events are included in the events folder in this project.

Run functions locally and invoke them with the sam local invoke command.

$ sam local invoke ExampleFunction --env-vars env.json --event events/event-example.json

The AWS SAM CLI can also emulate your application's API. Use the sam local start-api command to run the API locally on port 3000.

$ sam local start-api --env-vars=env.json
$ curl http://localhost:3000/

The AWS SAM CLI reads the application template to determine the API's routes and the functions that they invoke. The Events property on each function's definition includes the route and method for each path.

      Events:
        Api:
          Type: Api
          Properties:
            Path: /
            Method: GET

Debugging

You can debug with external debugger by this manual: Step-through debugging Node.js functions locally

1. Run sam local invoke with --debug-port option.

   $ sam local invoke ExampleFunction --env-vars=env.json --event events/event-example.json --debug-port 5858

   It will wait for debugger to attach before starting execution of the function.

2. Place a breakpoint where needed (yes, right in TypeScript code).

3. Start external debugger. In Visual Studio Code you can just press F5.

Add a resource to your application

The application template uses AWS SAM to define application resources. AWS SAM is an extension of AWS CloudFormation with a simpler syntax for configuring common serverless application resources, such as functions, triggers, and APIs. For resources that aren't included in the AWS SAM specification, you can use the standard AWS CloudFormation resource types.

Update template.yml to add a dead-letter queue to your application. In the Resources section, add a resource named MyQueue with the type AWS::SQS::Queue. Then add a property to the AWS::Serverless::Function resource named DeadLetterQueue that targets the queue's Amazon Resource Name (ARN), and a policy that grants the function permission to access the queue.

Resources:
  MyQueue:
    Type: AWS::SQS::Queue

  ExampleFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: src/handlers/example.exampleHandler
      Runtime: nodejs14.x
      DeadLetterQueue:
        Type: SQS 
        TargetArn: !GetAtt MyQueue.Arn
      Policies:
        - SQSSendMessagePolicy:
            QueueName: !GetAtt MyQueue.QueueName

The dead-letter queue is a location for Lambda to send events that could not be processed. It's only used if you invoke your function asynchronously, but it's useful here to show how you can modify your application's resources and function configuration.

Deploy the updated application.

$ sam deploy

Open the Applications page of the Lambda console, and choose your application. When the deployment completes, view the application resources on the Overview tab to see the new resource. Then, choose the function to see the updated configuration that specifies the dead-letter queue.

Fetch, tail, and filter Lambda function logs

To simplify troubleshooting, the AWS SAM CLI has a command called sam logs. sam logs lets you fetch logs that are generated by your Lambda function from the command line. In addition to printing the logs on the terminal, this command has several nifty features to help you quickly find the bug.

NOTE: This command works for all Lambda functions, not just the ones you deploy using AWS SAM.

$ sam logs -n ExampleFunction --stack-name sam-app --tail

NOTE: This uses the logical name of the function within the stack. This is the correct name to use when searching logs inside an AWS Lambda function within a CloudFormation stack, even if the deployed function name varies due to CloudFormation's unique resource name generation.

You can find more information and examples about filtering Lambda function logs in the AWS SAM CLI documentation.

Unit tests

Tests are defined in the __tests__ folder in this project. Use npm to install the Jest test framework and run unit tests.

$ npm install
$ npm test

Cleanup

To delete the sample application that you created, use the AWS CLI. Assuming you used your project name for the stack name, you can run the following:

$ aws cloudformation delete-stack --stack-name aws-sam-typescript-layers-example

Resources

For an introduction to the AWS SAM specification, the AWS SAM CLI, and serverless application concepts, see the AWS SAM Developer Guide.

Next, you can use the AWS Serverless Application Repository to deploy ready-to-use apps that go beyond Hello World samples and learn how authors developed their applications. For more information, see the AWS Serverless Application Repository main page and the AWS Serverless Application Repository Developer Guide.