FXHASH Generative Token webpack boilerplate

A boilerplate to automate and ease the creation of Generative Tokens on fxhash. This project uses webpack and webpack-dev-server to improve the development and deployment experience.

Before diving into the development of your token, we recommend reading the Guide to mint a Generative Token to get some understanding of the process.

If you are looking for a simpler boilerplate, you can use the fxhash simple boilerplate instead.

Scope of this project

provide a local environment in which you can iterate and use modern features from the javascript ecosystem
automate the creation of a .zip file ready to be uploaded on fxhash

How to use

You will need to have nodejs installed.

Installation

First, make sure that your node version is >= 14

Clone the repository on your machine and move to the directory

$ git clone https://github.com/fxhash/fxhash-webpack-boilerplate.git your_folder && cd your_folder

Install the packages required for the local environment

$ npm i

Start local environment

$ npm start

This last command will start a local http server with live reloading enabled so that you can iterate faster on your projects. Open http://localhost:8080 to see your project in the browser.

Build

$ npm run build

Will bundle your js dependencies into a single minified bundle.js file, move your files from the public/ to the dist/ folder, and link the bundle.js with the index.html.

Moreover, it will create a dist-zipped/project.zip file which can be directly imported on fxhash.

Develop your token

Once the environment is started, you can edit the src/index.js file to start building your artwork. The index.html file is located in the public/ folder.

You can import libraries using npm or by adding the library file in the public/ folder and link those using relative paths in the index.html.

Any file in the public/ folder will be added to the final project.

fxhash snippet

fxhash requires you to use a javascript code snippet so that the platform can inject some code when tokens will be generated from your Generative Token. The code snippet is already in the index.html file of this boilerplate, so you don't have to add it yourself.

During the development stages, the snippet will generate a random hash each time the page is refreshed. This way, it helps you reproduce the conditions in which your token will be executed on fxhash.

It creates 3 variables:

fxhash: a random 64 characters hexadecimal string. This particular variable will be hardcoded with a static hash when someone mints a token from your GT
fxrand(): a PRNG function that generates deterministic PRN between 0 and 1. Simply use it instead of Math.random().

The index.js of this boilerplate quickly demonstrates how to use these.

How do Generative Tokens work

This is how Generative Tokens work on fxhash:

you upload your project to the platform (see next section)
you mint your project
when a collector will mint its unique token from your Generative Token, a random hash will be hard-coded in the fxhash code snippet
the token will now have its own index.html file, with a static hash, ensuring its immutability

The Guide to mint a Generative Token give in-depth details about this process.

Publish your token

Once you are happy with the results, you can run the following command:

$ npm run build

This will create a dist-zipped/project.zip file.

Go to https://fxhash.xyz/sandbox/ and upload the project.zip file in there to see if it works properly.

If your token does not work properly, you can iterate easily by updating your files, running $ npm run build again, and upload the zip file again.

Finally, you can mint your token using the same project.zipfile.

Rules to follow

Theses rules must be followed to ensure that your token will be future-proof, accepted by fxhash, and behave in the intended way

the zip file must be under 15 Mb
any path to a resource must be relative (./path/to/file.ext)
no external resources allowed, you must put all your resources in the public/ folder (sub-folders are OK)
no network calls allowed (but calls to get resources from within your public/ folder)
you must handle any viewport size (by implementing a response to the resize event of the window)
you cannot use random number generation without a seed (the same input hash must always yield the same output). The fxrand function does a very good job in that regard.

leogau/fxhash-webpack-boilerplate