FastAPI example
A basic FastAPI application example. You can build and test it locally as a typical FastAPI application.
Using AWS Lambda Web Adapter, You can package this web application into Docker image, push to ECR, and deploy to Lambda, ECS/EKS, or EC2.
The application can be deployed in an AWS account using the Serverless Application Model. The template.yaml file in the root folder contains the application definition.
The top level folder is a typical AWS SAM project. The app directory is a FastAPI application with a Dockerfile.
FROM public.ecr.aws/docker/library/python:3.8.12-slim-buster COPY --from=public.ecr.aws/awsguru/aws-lambda-adapter:1.0.0 /lambda-adapter /opt/extensions/lambda-adapter ENV PORT=8000 WORKDIR /var/task COPY requirements.txt ./ RUN python -m pip install -r requirements.txt COPY *.py ./ CMD exec uvicorn --port=$PORT main:app
Line 2 copies lambda web adapter binary into /opt/extensions. This is the change to run the FastAPI application on Lambda.
COPY --from=public.ecr.aws/awsguru/aws-lambda-adapter:1.0.0 /lambda-adapter /opt/extensions/lambda-adapterPre-requisites
The following tools should be installed and configured.
Deploy to Lambda
Navigate to the sample's folder and use the SAM CLI to build a container image
This command compiles the application and prepares a deployment package in the .aws-sam sub-directory.
To deploy the application in your AWS account, you can use the SAM CLI's guided deployment process and follow the instructions on the screen
Please take note of the container image name.
Once the deployment is completed, the SAM CLI will print out the stack's outputs, including the new application URL. You can use curl or a web browser to make a call to the URL
...
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OutputKey-Description OutputValue
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FastAPIURL - URL for application https://xxxxxxxxxx.execute-api.us-west-2.amazonaws.com/
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...
$ curl https://xxxxxxxxxx.execute-api.us-west-2.amazonaws.com/Run the docker locally
We can run the same docker image locally, so that we know it can be deployed to ECS Fargate and EKS EC2 without code changes.
$ docker run -d -p 8000:8000 {ECR Image}
Use curl to verify the docker container works.