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Python Serverless Microframework for AWS

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AWS Chalice

.. image:: :target: :alt: Gitter .. image:: :target: :alt: Travis CI .. image:: :target: :alt: Documentation Status .. image:: :target: :alt:

.. image::\_images/chalice-logo-whitespace.png :target: :alt: Chalice Logo

Chalice is a framework for writing serverless apps in python. It allows you to quickly create and deploy applications that use AWS Lambda. It provides:

  • A command line tool for creating, deploying, and managing your app
  • A decorator based API for integrating with Amazon API Gateway, Amazon S3, Amazon SNS, Amazon SQS, and other AWS services.
  • Automatic IAM policy generation

You can create Rest APIs:

.. code-block:: python

from chalice import Chalice app = Chalice(app\_name="helloworld") @app.route("/") def index(): return {"hello": "world"}

Tasks that run on a periodic basis:

.. code-block:: python

from chalice import Chalice, Rate app = Chalice(app\_name="helloworld") # Automatically runs every 5 minutes @app.schedule(Rate(5, unit=Rate.MINUTES)) def periodic\_task(event): return {"hello": "world"}

You can connect a lambda function to an S3 event:

.. code-block:: python

from chalice import Chalice app = Chalice(app\_name="helloworld") # Whenever an object is uploaded to 'mybucket' # this lambda function will be invoked. @app.on\_s3\_event(bucket='mybucket') def handler(event): print("Object uploaded for bucket: %s, key: %s" % (event.bucket, event.key))

As well as an SQS queue:

.. code-block:: python

from chalice import Chalice app = Chalice(app\_name="helloworld") # Invoke this lambda function whenever a message # is sent to the ``my-queue-name`` SQS queue. @app.on\_sqs\_message(queue='my-queue-name') def handler(event): for record in event: print("Message body: %s" % record.body)

And several other AWS resources.

Once you've written your code, you just run

chalice deploy

and Chalice takes care of deploying your app.


$ chalice deploy ... https://endpoint/dev $ curl https://endpoint/api {"hello": "world"}

Up and running in less than 30 seconds. Give this project a try and share your feedback with us here on Github.

The documentation is available

here <http:></http:>



.. quick-start-begin

In this tutorial, you'll use the


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 <https:></https:>


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



$ python3 -m pip install chalice

You can verify you have chalice installed by running::

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


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<http:></http:>


Creating Your Project

The next thing we'll do is use the


command to create a new project::

$ chalice new-project helloworld

This will create a


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-- -rw-r--r-- requirements.txt

You can ignore the


directory for now, the two main files we'll focus on is




Let's take a look at the


.. code-block:: python

from chalice import Chalice app = Chalice(app\_name='helloworld') @app.route('/') def index(): return {'hello': 'world'}



command created a sample app that defines a single view,


, that when called will return the JSON body

{"hello": "world"}



Let's deploy this app. Make sure you're in the


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:

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

$ curl {"hello": "world"}

Try making a change to the returned dictionary from the


function. You can then redeploy your changes by running

chalice deploy


.. quick-start-end

Next Steps

You've now created your first app using


. You can make modifications to your

file and rerun

chalice deploy

to redeploy your changes.

At this point, there are several next steps you can take.

  • Tutorials <https:></https:>
    • Choose from among several guided tutorials that will give you step-by-step examples of various features of Chalice.
  • Topics <https:></https:>
    __ - Deep dive into documentation on specific areas of Chalice. This contains more detailed documentation than the tutorials.
  • API Reference <https:></https:>
    __ - Low level reference documentation on all the classes and methods that are part of the public API of Chalice.

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



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


We'also love to hear from you. Please create any Github issues for additional features you'd like to see over at You can also chat with us on gitter:

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