This project contains sample code for AWS Lambda with domain models. I presented the session about how to implement an AWS Lambda function with domain models at JAWS Pankration 20201.

The repository shows you how to implement your classes on the function. It includes sample domain models regarding a vaccination reservation system, which are loosely coupled from infrastructure code such as accessing a DynamoDB table with ports and adapters classes. The application is designed by the concept of hexagonal architecture or ports and adapters architecture by Alistair Cockburn. This application also uses injector Python library to inject ports and adapters classes. It enables you to execute unit testing more easily because you can inject dummy instances into target classes. For more details, see sample unit testing code in this project (./tests/unit folder) and this session slide deck.

This project contains source code and supporting files for a serverless application that you can deploy with the SAM CLI. It includes the following files and folders.

• src - Code for the application's Lambda function.
• events - Invocation events that you can use to invoke the function.
• tests/unit - Unit tests for the application code.
• template.yaml - A template that defines the application's AWS resources.

The Serverless Application Model Command Line Interface (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 SAM CLI, you need the following tools.

• SAM CLI - Install the SAM CLI
• Python 3 installed
• Docker - Install Docker community edition

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

sam build --use-container
sam deploy --guided

The first command will build the source of your application. The second command will package and deploy your application to AWS, with a series of prompts:

You can find your API Gateway Endpoint URL in the output values displayed after deployment.

When you execute this function you need to execute data prepare script.

$ chmod +x setup/add_ddb_data.sh
$ setup/add_ddb_data.sh

Build your application with the sam build --use-container command.

vaccination_reservation_demo$ sam build --use-container

The SAM CLI installs dependencies defined in src/requirements.txt, creates a deployment package, and saves it in the .aws-sam/build folder.

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.

vaccination_reservation_demo$ sam local invoke HelloWorldFunction --event events/event.json

Tests are defined in the tests folder in this project. Use PIP to install the test dependencies and run tests.

vaccination_reservation_demo$ pip install -r tests/requirements.txt --user
# unit test
vaccination_reservation_demo$ python -m pytest tests/unit -v
# integration test, requiring deploying the stack first.
# Create the env variable AWS_SAM_STACK_NAME with the name of the stack we are testing
vaccination_reservation_demo$ AWS_SAM_STACK_NAME=<stack-name> python -m pytest tests/integration -v

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 vaccination_reservation_demo

See the AWS SAM developer guide for an introduction to SAM specification, the SAM CLI, and serverless application concepts.

Next, you can use AWS Serverless Application Repository to deploy ready to use Apps that go beyond hello world samples and learn how authors developed their applications: AWS Serverless Application Repository main page