• Project hosted in AWS. Containers are pushed to ECR.
• The API is run using AppRunner, and can be accessed here: https://miuqehzpzg.us-east-1.awsapprunner.com/.
• Postgres DB provided by AWS.
• Lambda functions are run using containers uploaded to ECR. The function uses asyncio to make requests in parallel.
• Dev container set up for instant local development.
• Pytest based testing.

https://miuqehzpzg.us-east-1.awsapprunner.com/

The api docs are interactive, so you can test the endpoints right there.

We provide a docker-compose.yml file for quick setup of the development environment. This includes all necessary services:

• Django application
• PostgreSQL database
• Lambda (for local testing)

To set up and start the development environment:

1. Install Prerequisites:

   • Docker with Docker Compose
   • Visual Studio Code
   • VSCode extensions: "Dev Containers" and "Docker"

2. Create a .env file in the root directory of the project with the following content:

# For the api container
DJANGO_SECRET_KEY
DJANGO_DEBUG
DJANGO_ALLOWED_HOSTS
DATABASE_URL=postgres://<POSTGRES_USER>:<POSTGRES_PASSWORD>@db:<POSTGRES_PORT>/<POSTGRES_DB>

# For the db container
POSTGRES_USER
POSTGRES_PASSWORD
POSTGRES_DB
POSTGRES_PORT

# AWS Configuration
AWS_ACCESS_KEY_ID
AWS_SECRET_ACCESS_KEY
AWS_DEFAULT_REGION

3. Open the project in Visual Studio Code.

4. Press Cmd + Shift + P (on macOS) or Ctrl + Shift + P (on Windows/Linux) to open the command palette.

5. Type "Dev Containers: Open Folder in Container" and select it.

6. Wait for the containers to be built and started. This may take a few minutes the first time.

7. Once the Dev Container is ready, open a new terminal in VS Code.

8. Run the following commands to set up the database and run the dev server:

   make migrate
   make runserver

9. The application should now be running. You can access http://0.0.0.0:8000/ to interact with the API.

10. To test the lambda function, run make lambda inside the api container