Make it possible to import configuration files in JSON format

[tnkerer]

Proposal

Changing the way generate_unique_images works allows it to use an external config.json file instead of hardcoding configs into index.py.

Motivation

I have been thinking about practical applications for this script to simplify its use for the general audience, like people unfamiliar with software development. I planned to create a container image using Docker and serve this script as a microservice. This service would receive a few arguments, like an URL for external storage containing trait layers, the number of NFTs generated, and a config.json to replace the second argument in generate_unique_images(num, config).

The first step would be making it so generate_unique_images(num, config) reads configuration from an external file.

Example

Given the config.json:

{
  "layers": [
    {
      "name": "Background",
      "values": ["Blue", "Orange", "Purple", "Red", "Yellow"],
      "trait_path": "./trait-layers/backgrounds",
      "filename": ["blue", "orange", "purple", "red", "yellow"],
      "weights": [20,20,20,20,20]
    },
    {
      "name": "Foreground",
      "values": ["Python Logo", "Python Logo 32"],
      "trait_path": "./trait-layers/foreground",
      "filename": ["logo", "logo"],
      "weights": [50, 50]
    },
    {
      "name": "Branding",
      "values": ["A Name", "Another Name"],
      "trait_path": "./trait-layers/text",
      "filename": ["text", "text"],
      "weights": [50, 50]
    }
  ],
  "incompatibilities": [
    {
      "layer": "Background",
      "value": "Blue",
      "incompatible_with": ["Python Logo 2"]
    }, 
  ],
  "baseURI": ".",
  "name": "NFT #",
  "description": "This is a description for this NFT series."
}

It is possible to load config.json with something similar to:

user_config = open('config.json')

data = json.load(user_config)

user_config.close()

PS: I am working on something similar on my side.

[Jon-Becker]

Good suggestion. I'll implement this in the next release

[Jon-Becker]

Implemented in v2.0.0