Quickstart

In this tutorial, you’ll use the chalice command line utility to create and deploy a basic REST API. This quickstart uses Python 3.7, but AWS Chalice supports all versions of python supported by AWS Lambda, which includes python2.7, python3.6, python3.7, python3.8. We recommend you use a version of Python 3. You can find the latest versions of python on the Python download page.

To install Chalice, we’ll first create and activate a virtual environment in python3.7:

$ python3 --version
Python 3.7.3
$ python3 -m venv venv37
$ . venv37/bin/activate

Next we’ll install Chalice using pip:

$ python3 -m pip install chalice

You can verify you have chalice installed by running:

$ chalice --help
Usage: chalice [OPTIONS] COMMAND [ARGS]...
...

Credentials

Before you can deploy an application, be sure you have credentials configured. If you have previously configured your machine to run boto3 (the AWS SDK for Python) or the AWS CLI then you can skip this section.

If this is your first time configuring credentials for AWS you can follow these steps to quickly get started:

$ mkdir ~/.aws
$ cat >> ~/.aws/config
[default]
aws_access_key_id=YOUR_ACCESS_KEY_HERE
aws_secret_access_key=YOUR_SECRET_ACCESS_KEY
region=YOUR_REGION (such as us-west-2, us-west-1, etc)

If you want more information on all the supported methods for configuring credentials, see the boto3 docs.

Creating Your Project

The next thing we’ll do is use the chalice command to create a new project:

$ chalice new-project helloworld

This will create a helloworld directory. Cd into this directory. You’ll see several files have been created for you:

$ cd helloworld
$ ls -la
drwxr-xr-x   .chalice
-rw-r--r--   app.py
-rw-r--r--   requirements.txt

You can ignore the .chalice directory for now, the two main files we’ll focus on is app.py and requirements.txt.

Let’s take a look at the app.py file:

from chalice import Chalice

app = Chalice(app_name='helloworld')


@app.route('/')
def index():
    return {'hello': 'world'}

The new-project command created a sample app that defines a single view, /, that when called will return the JSON body {"hello": "world"}.

Deploying

Let’s deploy this app. Make sure you’re in the helloworld directory and run chalice deploy:

$ chalice deploy
Creating deployment package.
Creating IAM role: helloworld-dev
Creating lambda function: helloworld-dev
Creating Rest API
Resources deployed:
  - Lambda ARN: arn:aws:lambda:us-west-2:12345:function:helloworld-dev
  - Rest API URL: https://abcd.execute-api.us-west-2.amazonaws.com/api/

You now have an API up and running using API Gateway and Lambda:

$ curl https://qxea58oupc.execute-api.us-west-2.amazonaws.com/api/
{"hello": "world"}

Try making a change to the returned dictionary from the index() function. You can then redeploy your changes by running chalice deploy.

Cleaning Up

If you’re done experimenting with Chalice and you’d like to cleanup, you can use the chalice delete command, and Chalice will delete all the resources it created when running the chalice deploy command.

$ chalice delete
Deleting Rest API: abcd4kwyl4
Deleting function aws:arn:lambda:region:123456789:helloworld-dev
Deleting IAM Role helloworld-dev

Next Steps

At this point, there are several tutorials you can follow based on what you’re interested in:

  • Creating REST APIs - Dive into more detail on how to create a REST API using Chalice. We’ll explore URL parameters, error messages, content types, CORs, and more.
  • Event Sources - In this tutorial, we’ll focus on difference event sources you can connect with a Lambda function other than a REST API with Amazon API Gateway.
  • Websockets - In this tutorial, we’ll show you how to create a websocket API and create a sample chat application.

You can also jump into specific topic guides. These are more detailed than the tutorials, and provide more reference style documentation on specific features of Chalice.

And finally, you can look at the API Reference for detailed API documentation for Chalice. This is useful if you know exactly what feature you’re using but need to lookup a specific parameter name or return value.

Tutorials →