![]() ![]() Let's clean up this entire handler and delete everything in there. Once these are installed, we can get back into our code and start to build out this handler. We're going to hop back into the command line and install two dependencies, PDF kit and AWS SDK. With all of that infrastructure out of the way, let's move on to the JavaScript portion of this lesson. We want to do this so that once we've uploaded a PDF and gotten that URI back, we're able to click on it and see the PDF. I've also created a custom bucket policy, which essentially says that for anything we've put into this bucket, we can get that object and anybody is allowed to do that. I've opened this up so that it has full public access. What I've done in this case, and you won't want to do this for something in production or that has any security interest. Now that we've reviewed, let's jump into the console so we can take a closer look at the S3 bucket we're working with. We've generated a pretty standard handler with an API gateway that has some custom environment variables. We've defined our custom IAM role statements. Let's take a moment here to do a quick review of what we've done up to this point. Using the custom property that we set up, we're able to locate that via NARN. We also want to define the resource that we are providing these permissions for. To do this within IAM role statements, we're going to create and allow effect, and define it for two specific actions, S3 put object and S3 put object ACL, which is saying that we now have the ability to use the underlying ACL object to determine if we have access. ![]() ![]() Inside of our provider declaration here, we need to define some IAM role permissions, When creating interoperability between multiple AWS services, we need to make sure that everything has the right permissions to communicate with each other. This is looking pretty good so far, but we'll need to do one additional thing. Finally, we'll give this the value of NCAA football stats. We'll add in a custom property, and then underneath that, we're going to add in bucket. From here, let's jump up to the top and add in our custom variable. We can find this out using AWS region, which pulls that from our local configuration when we set up serverless. You'll see that we're referencing custom bucket, which we'll define in just a moment. The first property that we're going to add is the bucket that we want to upload our PDF into. To do that, we simply add an environment property into our YAML. We're going to define two environment variables that we want to use inside of our function. We're going to introduce something we haven't talked about before. Set it up as a basic HTTP API gateway with a route of API PDF and then use a method of post. In the serverless YAML file, we'll change the function name from Hello to Generate. Let's close the left-hand side and get started. We're going to start with the serverless YAML file first, and work through that. We'll generate the project and then step right into the generated directory and open this up in VS code. ![]() To get started, let's create a project using our typical node.js template, and call it "Egghead PDF Generator." With the most important one being, how to integrate with additional AWS services from a Lambda function. In doing so, we will learn some new techniques along the way. We'll create a Serverless Function that generates a PDF and then saves it to S3. Note that the callback function expects an object for the response ( not a Response object), which must have a “ body” key: exports.Instructor: In this lesson, we are going to do something a little more advanced. A Node.js style, error-first “ callback” function used to send back the response data.The lambda “ context” which provides details about the context of the function, as well as some methods for the response.The request “ event” containing all sorts of details like the route requested, the request method, the request headers, and more.This configuration assumes we have a function called generatePdf which is exported from the file called index.js located inside a folder called src.Įach serverless function handler is provided with 3 parameters: This file should look something like so: service: generatePdf We will need to use a configuration file called serverless.yml (for more details on the file options, see here). Getting started with serverless functions with Node on AWS Lambda is pretty straight forward. No need for Express, no HTML parsing, and no uploading to S3. In this post, I’ll cover only the minimum to create a Serverless function on AWS Lambda which generates PDFs using Node and PDFKit. There are a few blog posts out there already covering this subject, but most of them include extra packages or steps than are actually necessary. ![]()
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