-
*
- "Binary Media Types" to be configured in API Gateway *
- a request with an "Accept" header set to one of the "Binary Media * Types" *
Hello! It is now {0}.
".format(timeStr), "headers": { "Content-Type": "text/html" } } ================================================ FILE: aws-node/.gitignore ================================================ node_modules .serverless ================================================ FILE: aws-node/README.md ================================================ # Serverless Framework AWS NodeJS Example This template demonstrates how to deploy a simple NodeJS function running on AWS Lambda using the Serverless Framework. The deployed function does not include any event definitions or any kind of persistence (database). For more advanced configurations check out the [examples repo](https://github.com/serverless/examples/) which include use cases like API endpoints, workers triggered by SQS, persistence with DynamoDB, and scheduled tasks. For details about configuration of specific events, please refer to our [documentation](https://www.serverless.com/framework/docs/providers/aws/events/). ## Usage ### 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 "aws-node" to stage "dev" (us-east-1) ✔ Service deployed to stack aws-node-dev (90s) functions: hello: aws-node-dev-hello (1.5 kB) ``` ### Invocation After successful deployment, you can invoke the deployed function by using the following command: ``` serverless invoke --function hello ``` Which should result in response similar to the following: ```json { "statusCode": 200, "body": "{\"message\":\"Go Serverless v4.0! Your function executed successfully!\"}" } ``` ### Local development The easiest way to develop and test your function is to use the Serverless Framework's `dev` command: ``` serverless dev ``` This will start a local emulator of AWS Lambda and tunnel your requests to and from AWS Lambda, allowing you to interact with your function as if it were running in the cloud. Now you can invoke the function as before, but this time the function will be executed locally. Now you can develop your function locally, invoke it, and see the results immediately without having to re-deploy. When you are done developing, don't forget to run `serverless deploy` to deploy the function to the cloud. ================================================ FILE: aws-node/handler.js ================================================ exports.hello = async (event) => { return { statusCode: 200, body: JSON.stringify({ message: 'Go Serverless v4.0! Your function executed successfully!' }) }; }; ================================================ FILE: aws-node/serverless.yml ================================================ service: aws-node # NOTE: update this with your service name frameworkVersion: '4' provider: name: aws runtime: nodejs20.x functions: hello: handler: handler.hello ================================================ FILE: aws-node-alexa-skill/.gitignore ================================================ node_modules .serverless ================================================ FILE: aws-node-alexa-skill/README.md ================================================ # Serverless Alexa Skill Example This example demonstrates how to setup your own Alexa skill using AWS Lambdas. ## Use-cases - Building custom Alexa skills ## How it works In the Alexa Developer Portal you can add your own skill. To do so you need to define the available intents and then connect them to a Lambda. You can update and define the Lambda with Serverless. ## Setup In order to deploy the endpoint simply run ```bash serverless deploy ``` The expected result should be similar to: ```bash Serverless: Packaging service... Serverless: Uploading CloudFormation file to S3... Serverless: Uploading service .zip file to S3 (378 B)... Serverless: Updating Stack... Serverless: Checking Stack update progress... ......... Serverless: Stack update finished... Serverless: Removing old service versions... Service Information service: aws-node-alexa-skill-2 stage: dev region: us-east-1 api keys: None endpoints: None functions: aws-node-alexa-skill-2-dev-luckyNumber: arn:aws:lambda:us-east-1:377024778620:function:aws-node-alexa-skill-2-dev-luckyNumber ``` Next we need to setup an Alexa skill. Once you've signed up for the Amazon Developer Platform visit `https://developer.amazon.com/edw/home.html`. There you should see the following screen:  Next click on `Add a new Skill`:  Go through the steps and fill in all the required fields e.g. Intent Schema and Sample Utterances: Intent Schema ``` { "intents": [ { "intent": "GetLuckyNumbers", "slots": [ { "name": "UpperLimit", "type": "AMAZON.NUMBER" } ] } ] } ``` Sample Utterances ``` GetLuckyNumbers what are my lucky numbers GetLuckyNumbers tell me my lucky numbers GetLuckyNumbers what are my lucky numbers lower than {UpperLimit} GetLuckyNumbers tell me my lucky numbers lower than {UpperLimit} ```   Fill in the Lambda ARN which was printed or run `serverless info` to retrieve the ARN again.  Next up visit the test page, fill in the utterance and click on `Ask LuckyNumbers`.     You should have received a response containing the text `Your lucky number is` followed by your lucky number :) Check out this [Amazon guide](https://developer.amazon.com/public/solutions/alexa/alexa-skills-kit/overviews/steps-to-build-a-custom-skill#your-skill-is-published-now-what) to learn more about how to submit your skill for publication. ================================================ FILE: aws-node-alexa-skill/handler.js ================================================ 'use strict'; // Returns a random integer between min (inclusive) and max (inclusive) const getRandomInt = (min, max) => Math.floor(Math.random() * ((max - min) + 1)) + min; module.exports.luckyNumber = (event, context, callback) => { const upperLimit = event.request.intent.slots.UpperLimit.value || 100; const number = getRandomInt(0, upperLimit); const response = { version: '1.0', response: { outputSpeech: { type: 'PlainText', text: `Your lucky number is ${number}`, }, shouldEndSession: false, }, }; callback(null, response); }; ================================================ FILE: aws-node-alexa-skill/package.json ================================================ { "name": "aws-alexa-skill", "version": "1.0.0", "description": "This example demonstrates how to use an AWS Lambdas for your custom Alexa skill.", "author": "", "license": "MIT" } ================================================ FILE: aws-node-alexa-skill/serverless.yml ================================================ service: aws-node-alexa-skill frameworkVersion: ">=1.4.0 <2.0.0" provider: name: aws runtime: nodejs12.x functions: luckyNumber: handler: handler.luckyNumber events: - alexaSkill ================================================ FILE: aws-node-auth0-cognito-custom-authorizers-api/.gitignore ================================================ node_modules .serverless ================================================ FILE: aws-node-auth0-cognito-custom-authorizers-api/README.md ================================================ # API Gateway Authorizer Function for Auth0 or AWS Cognito using the [JWKS](https://auth0.com/docs/jwks) method. This is an example of how to protect API endpoints with [Auth0](https://auth0.com/) or [AWS Cognito](https://aws.amazon.com/cognito/) using JSON Web Key Sets ([JWKS](https://auth0.com/docs/jwks)) and a [custom authorizer lambda function](https://serverless.com/framework/docs/providers/aws/events/apigateway#http-endpoints-with-custom-authorizers). Custom Authorizers allow you to run an AWS Lambda Function via API Gateway before your targeted AWS Lambda Function is run. This is useful for Microservice Architectures or when you simply want to do some Authorization before running your business logic. ## Use cases - Protect API routes for authorized users - Rate limiting APIs - Remotely revoke tokens ## Setup 1. `npm install` json web token dependencies 2. In [auth.js](auth.js#L10) replace the value of `iss` with either your [Auth0 iss](http://bit.ly/2hoeRXk) or [AWS Cognito ISS](http://amzn.to/2fo77UI). Make sure the `iss` url ends in a trailing `/`. ```js /* auth.js */ // Replace with your auth0 or Cognito values const iss = "https://
{
/*
* DemoApp Admin Menu
*/
}
Serverless Framework Enterprise - Demo Utilities
{
//
{
/*
* DemoApp Content
*/
}
)
}
}
export default DemoApp
================================================
FILE: aws-node-fullstack/frontend/src/index.css
================================================
body {
margin: 0;
padding: 0;
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen",
"Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue",
sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
code {
font-family: source-code-pro, Menlo, Monaco, Consolas, "Courier New",
monospace;
}
================================================
FILE: aws-node-fullstack/frontend/src/index.js
================================================
import React from 'react'
import ReactDOM from 'react-dom'
import DemoApp from './DemoApp'
import './index.css'
window.demoapp = {}
ReactDOM.render(
x
Status
{this.state.admin.status}
Form Submit URL
Enter the formSubmit function's API URL returned upon deployment with the Framework.
Generate A Sample Number Of API Requests
This generates fake form submissions to give you sample invocation data.
Generate A New Function Code Error
This generates a new Function Code Error.
Generate
//
}
//
//
//
//
// Generate A Long Running Function
//
//
// This generates an unusually long function duration.
//
//
//
// Generate
//
Demo Utilities
Serverless Email Sign-Up Form
Thank you for your submission!