node-fetch VS aws-lambda-java-libs

node-fetch.

To execute the algorithm, we will use Node.js (for the JavaScript runtime) and node-fetch (for network requests). This means we will run the code locally from the command line. For this project, we will have an output folder to store all the README data, as well as a list (queue) of repository URLs to visit. Before diving into the code, it is important to plan the input and output of the algorithm. For this web crawler, we will start at a valid GitHub repository page, which would be one URL string. After visiting each page with a README, we will export the data into a new file. Now lets cover the process of requesting a repository page from a URL. For this, we only care about saving the README file that is displayed, and we will ignore any other links that GitHub displays (such as the navbar). We will send a URL request with node-fetch, and retrieve the result of a HTML string. If we convert the HTML string to a DOM Tree, we can search for a specific element. GitHub stores the README file under a div with the class "markdown-body". We can use a library called 'jsdom' to use Browser API methods, and return a specific node.

Note: In case you run into install reference error: fetch isn’t defined, ensure you install node-fetch

Node Fetch is a JavaScript library tailored for Node.js that simplifies making HTTP requests. It offers a straightforward and Promise-based approach for fetching resources from the internet or server, such as GET, POST, PUT, and DELETE requests. Designed for server-side applications, it's compatible with the Fetch API, allowing easy code transition between client-side and server-side environments.

Would anyone be interested in an article about the crusade to move JS to ESM? I've been considering writing one, here's a preview:

Sindresorus wrote a gist "Pure ESM modules"[0] and converted all his modules to Pure ESM, breaking anyone `require`ing his code; he later locked the thread to prevent people from complaining. node-fetch released a pure ESM version a year ago that is 16x less popular than the CommonJS version[1]. The results of these changes broke a lot of code and resulted in many hours of developers figuring out how make their projects compatible with Pure ESM modules (or decide to ignore them and use old CommonJS versions)--not to mention the tons of pointless drama on GitHub issues.

Meanwhile, TC-39 member Matteo Collima advocated a moderate approach dependent on where your module will be run [2]. So the crusade is led not by the Church, but by a handful of zealots dedicated to establishing ESM supremacy for unclear reasons (note how Sindresorus' gist lacks any justifications). It's kind of like the Python 2 to 3 move except with even less rationale and not driven by the core devs.

0 - https://gist.github.com/sindresorhus/a39789f98801d908bbc7ff3...

1 - https://www.npmjs.com/package/node-fetch?activeTab=versions

2 - https://github.com/nodejs/node/issues/33954#issuecomment-924...

https://www.npmjs.com/package/node-fetch is pretty standard assuming you're referring to an HTTP client library

The API is CORS-enabled, meaning you’ll have to use the getArticles() functions from your backend. For making the actual request, you can use the fetch() function, available since Node.js v18. For older versions of Node.js, you can use a fetch()-compatible library like node-fetch.

I have the same setup. On node 18 fetch would not go through. I changed 127.0.0.1 to localhost in my config/env. More info here

I am making a bot that is supposed to take data from Upland's database from the account "dcrawtu15ye". I am using autocode to take it and I have found some ways to use it but some of my code still comes back as null. I have been using the eos docs to find info and all it can do right now is get account info if I use console.log(await rpc.get_account('dcrawtu1u5ye'));. I am using the dependency node-fetch. I wanted to know if there is something wrong with the code below. I also used greymass from this list and this article supposedly might help too.

The RSS feed's URL will then need to be requested over the network. The native fetch API of JavaScript will be used since it is the most efficient. It undoubtedly works in browsers, and it appears that Node has a pretty well-liked implementation of it.

AWS Lambda simplifies composable applications by offering serverless execution, seamless integration with AWS services, automatic scaling, and cost efficiency without the need to manage servers.

Deploying Dart functions to AWS Lambda enables you to utilize them not only within AWS Lambda but also integrate them with services like Amazon API Gateway, allowing you to leverage them in Flutter applications as well. This unified codebase in Dart offers great convenience.

Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers).

Amazon Web Services (AWS) Lambda is a serverless function-as-a-service (FaaS) platform that lets you deploy, run, and scale code in the cloud as self-contained functions without having to manually configure any infrastructure. Lambda runs your functions on demand in response to specific events, such as an HTTP request from the internet or activity in another AWS service.

FaaS is specifically focused on building and running applications as a set of independent functions or microservices. Major cloud providers like AWS (Lambda), Microsoft Azure (Functions), and Google Cloud (Cloud Functions) offer FaaS platforms that allow developers to write and deploy individual functions without managing the underlying infrastructure.

So AWS Lambda is basically a serverless computing service that is offered by AWS. It enables developers to run the code in response to various events. It protects the developers from the pain of managing the servers. Using a serverless execution model helps the developers to handle provision, manage and scale the servers automatically. Through this approach the developers can fully focus on writing the code instead of dealing with other aspects.

The first product that popularized the term “serverless” was AWS Lambda, which is both the prototypical and archetypical function as a service provider. It also has a great name, which pings back to its envisioned place in the cloud of the future. In computer programming, a lambda, often referred to as a lambda function or lambda expression, is a concise way to represent an anonymous function, which is a function without a name. The concept originates from lambda calculus in mathematical logic and has been adopted by many programming languages, each with its own syntax and characteristics.

You can build a custom config rules in 2 ways, using AWS Lambda and CloudFormation Guard. Lambda gives you a lot of flexibility, but it also brings complexity of maintaining. CloudFormation Guard is a bit more lightweight in that regard. Yes, you still need to maintain the logic to determine when your resource is compliant or not. But you need to do this in both cases, thus my go to preference is CloudFormation Guard.

AWS Lambda: https://aws.amazon.com/lambda/