Serverless Framework AWS Python Lambda/Kinesis

Usage

SLS Installation

In a terminal run:

asdf plugin add serverless https://github.com/pdemagny/asdf-serverless.git

and then

asdf install

NOTE: make sure you have your AWS credentials properly configured and permissions to create resources in AWS

Deployment

In order to deploy the example, you need to run the following command:

$ serverless deploy

After running deploy, you should see output similar to:

Deploying hd-prj to stage dev (us-east-1)

✔ Service deployed to stack hd-prj-dev (112s)

functions:
  hello: hd-prj-dev-hello (1.5 kB)

Invocation

After successful deployment, you can invoke the deployed function by accessing the URL in api-gateway:

endpoint: GET - https://7x9saiixwa.execute-api.us-east-1.amazonaws.com/

Which should result in response similar to the following:

{
    "statusCode": 200,
    "body": "{\"message\": \"I've received your request and pushed some shit to kinesis!\", \"heartRate\": {\"heartRate\": 79, \"rateType\": \"NORMAL\"},, \"input\": {}}"
}

Bundling dependencies

In case you would like to include third-party dependencies, you will need to use a plugin called serverless-python-requirements. You can set it up by running the following command:

serverless plugin install -n serverless-python-requirements

Running the above will automatically add serverless-python-requirements to plugins section in your serverless.yml file and add it as a devDependency to package.json file. The package.json file will be automatically created if it doesn't exist beforehand. Now you will be able to add your dependencies to requirements.txt file (Pipfile and pyproject.toml is also supported but requires additional configuration) and they will be automatically injected to Lambda package during build process. For more details about the plugin's configuration, please refer to official documentation.