JAWS Pankration 2021 – DDD on AWS Lambda sample
What is this project?
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. This repository shows you how to implement your domain models, ports and adapters classes on AWS Lambda function. This project includes sample domain models regarding a vaccination reservation system and these are loosly coupled from infrastructure code such as accessing a DynamoDB table using ports and adapters classes. This application is designed by 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 elables 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)
Sequence diagram for this application
Serverless Application Model
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.
Deploy the sample application
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.
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.
Prepare DynamoDB data before you execute this function
When you execute this function you need to execute data prepare script.
$ chmod +x setup/add_ddb_data.sh $ setup/add_ddb_data.sh
Use the SAM CLI to build and test locally
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
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