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How to create a REST API with ServerlessStack

Salah Elhossiny
ML engineer || AWS Certified MLS || AWS Community Builders member || Fullstack developer
・5 min read

In this example we will look at how to create a serverless REST API on AWS using Serverless Stack (SST).

Requirements

  • Node.js >= 10.15.1
  • We'll be using Node.js (or ES) in this example but you can also use TypeScript
  • An AWS account with the AWS CLI configured locally

Create an SST app

Let's start by creating an SST app.

$ npx create-serverless-stack@latest rest-api
$ cd rest-api
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By default our app will be deployed to an environment (or stage) called dev and the us-east-1 AWS region. This can be changed in the sst.json in your project root.

{
  "name": "rest-api",
  "stage": "dev",
  "region": "us-east-1"
}
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Project layout

An SST app is made up of two parts.

  1. lib/ — App Infrastructure

The code that describes the infrastructure of your serverless app is placed in the lib/ directory of your project. SST uses AWS CDK, to create the infrastructure.

  1. src/ — App Code

The code that's run when your API is invoked is placed in the src/ directory of your project.

Setting up our routes

Let's start by setting up the routes for our API.

Replace the lib/MyStack.js with the following.

import * as sst from "@serverless-stack/resources";

export default class MyStack extends sst.Stack {
  constructor(scope, id, props) {
    super(scope, id, props);

    // Create the HTTP API
    const api = new sst.Api(this, "Api", {
      routes: {
        "GET /notes": "src/list.main",
        "GET /notes/{id}": "src/get.main",
        "PUT /notes/{id}": "src/update.main",
      },
    });

    // Show the API endpoint in the output
    this.addOutputs({
      ApiEndpoint: api.url,
    });
  }
}
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We are creating an API here using the sst.Api construct. And we are adding three routes to it.

GET /notes
GET /notes/{id}
PUT /notes/{id}
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The first is getting a list of notes. The second is getting a specific note given an id. And the third is updating a note.

Adding function code

For this example, we are not using a database. We'll look at that in detail in another example. So internally we are just going to get the list of notes from a file.

Let's add a file that contains our notes in src/notes.js.

export default {
  id1: {
    noteId: "id1",
    userId: "user1",
    createdAt: Date.now(),
    content: "Hello World!",
  },
  id2: {
    noteId: "id2",
    userId: "user2",
    createdAt: Date.now() - 10000,
    content: "Hello Old World! Old note.",
  },
};
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Now add the code for our first endpoint.

Getting a list of notes

Add a src/list.js.

import notes from "./notes";

export async function main() {
  return {
    statusCode: 200,
    body: JSON.stringify(notes),
  };
}
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Here we are simply converting a list of notes to string, and responding with that in the request body.

Note that this function need to be async to be invoked by AWS Lambda. Even though, in this case we are doing everything synchronously.

Getting a specific note

Add the following to src/get.js.

import notes from "./notes";

export async function main(event) {
  const note = notes[event.pathParameters.id];
  return note
    ? {
        statusCode: 200,
        body: JSON.stringify(note),
      }
    : {
        statusCode: 404,
        body: JSON.stringify({ error: true }),
      };
}
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Here we are checking if we have the requested note. If we do, we respond with it. If we don't, then we respond with a 404 error.

Updating a note

Add the following to src/update.js.

import notes from "./notes";

export async function main(event) {
  const note = notes[event.pathParameters.id];

  if (!note) {
    return {
      statusCode: 404,
      body: JSON.stringify({ error: true }),
    };
  }

  const data = JSON.parse(event.body);

  note.content = data.content;

  return {
    statusCode: 200,
    body: JSON.stringify(note),
  };
}
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We first check if the note with the requested id exists. And then we update the content of the note and return it. Of course, we aren't really saving our changes because we don't have a database!

Now let's test our new API.

Starting your dev environment

SST features a Live Lambda Development environment that allows you to work on your serverless apps live.

$ npx sst start
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The first time you run this command it'll take a couple of minutes to do the following:

  1. It'll bootstrap your AWS environment to use CDK.
  2. Deploy a debug stack to power the Live Lambda Development environment.
  3. Deploy your app, but replace the functions in the src/ directory with ones that connect to your local client.
  4. Start up a local client.

Once complete, you should see something like this.

===============
 Deploying app
===============

Preparing your SST app
Transpiling source
Linting source
Deploying stacks
dev-rest-api-my-stack: deploying...

 ✅  dev-rest-api-my-stack


Stack dev-rest-api-my-stack
  Status: deployed
  Outputs:
    ApiEndpoint: https://2q0mwp6r8d.execute-api.us-east-1.amazonaws.com
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The ApiEndpoint is the API we just created. Now let's get our list of notes. Head over to the following in your browser. Make sure to replace the URL with your API.

https://2q0mwp6r8d.execute-api.us-east-1.amazonaws.com/notes
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You should see the list of notes as a JSON string.

And use the following endpoint to to retrieve a specific note.

https://2q0mwp6r8d.execute-api.us-east-1.amazonaws.com/notes/id1
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Now to update our note, we need to make a PUT request. Our browser cannot make this type of request. So use the following command in your terminal.

curl -X PUT \
-H 'Content-Type: application/json' \
-d '{"content":"Updating my note"}' \
https://2q0mwp6r8d.execute-api.us-east-1.amazonaws.com/notes/id1
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This should respond with the updated note.

Making changes

Let's make a quick change to our API. It would be good if the JSON strings are pretty printed to make them more readable.

Replace src/list.js with the following.

import notes from "./notes";

export async function main() {
  return {
    statusCode: 200,
    body: JSON.stringify(notes, null, "  "),
  };
}
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Here we are just adding some spaces to pretty print the JSON.

If you head back to the /notes endpoint.

https://2q0mwp6r8d.execute-api.us-east-1.amazonaws.com/notes
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You should see your list of notes in a more readable format.

Deploying your API

Now that our API is tested and ready to go. Let's go ahead and deploy it for our users. You'll recall that we were using a dev environment, the one specified in your sst.json.

However, we are going to deploy your API again. But to a different environment, called prod. This allows us to separate our environments, so when we are working in dev, it doesn't break the API for our users.

Run the following in your terminal.

$ npx sst deploy --stage prod
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A note on these environments. SST is simply deploying the same app twice using two different stage names. It prefixes the resources with the stage names to ensure that they don't thrash.

Cleaning up

Finally, you can remove the resources created in this example using the following command.

$ npx sst remove
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And to remove the prod environment.

$ npx sst remove --stage prod
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Conclusion

And that's it! You've got a brand new serverless API. A local development environment, to test and make changes. And it's deployed to production as well, so you can share it with your users.

References

  1. Check this Github repo

  2. ServerlessStack Docs

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