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generator.js
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generator.js
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import fs from 'fs';
import fsExtra from 'fs-extra'
import pkg from 'canvas';
const {createCanvas, loadImage} = pkg;
import {requestData, getProbability, getTraitTitles, getConflicts, getUnconditionalMatches, setValues} from './mysql_connect.js';
import { createXLSX, archivingFolder} from './utilities.js';
import { setTimeout } from 'timers/promises';
import { randomUUID } from 'crypto';
import imagemin from 'imagemin';
import imageminPngquant from 'imagemin-pngquant';
const canvas = createCanvas(1920, 1920);
const ctx = canvas.getContext("2d");
const saveLayer = async (_canvas, _edition, name) => {
await fs.writeFileSync(`${name}`, _canvas.toBuffer("image/png"));
};
const drawLayer = async (_layer, _edition, name) => {
try {
const image = await loadImage(`${_layer}`);
//TODO: FIX THIS MAGIC NUM
ctx.drawImage(
image,
0,
0,
1920,
1920
);
await saveLayer(canvas, _edition, name);
} catch (error) {
console.log(error);
}
};
class IterableObject extends Object {
constructor(object) {
super();
Object.assign(this, object);
}
[Symbol.iterator]() {
const entries = Object.entries(this);
let index = 0;
return {
next() {
const result = {
value: entries[index],
done: index >= entries.length
};
index++;
return result;
}
}
}
}
const weightRandom = (trait, probability) => {
let data = [];
for (let index = 0; index < trait.length; index++) {
data[index] = [trait[index], probability[index]]
}
function shuffle(array) {
for (let i = array.length - 1; i > 0; i--) {
let j = Math.floor(Math.random() * (i + 1));
[array[i], array[j]] = [array[j], array[i]];
}
}
shuffle(data);
let out = [];
for (let i = 0; i < data.length; ++i) {
for (let j = 0; j < data[i][1]; ++j) {
out.push(data[i][0]);
}
}
return out[Math.floor(Math.random() * out.length)];
}
const conflictParse = (image, probabilityTraits, imageNum) => {
const conficts = getConflicts();
for (let index = 0; index < conficts.length; index++) {
const conflictTraits = Object.keys(conficts[index]);
if (image[`${conflictTraits[0]}`] === conficts[index][`${conflictTraits[0]}`] &&
image[`${conflictTraits[1]}`] === conficts[index][`${conflictTraits[1]}`]) {
console.log(`Find conflict! Image: ${imageNum}.png`);
const regenTrait = conflictTraits[conficts[index][conflictTraits[2]]]
image[regenTrait] = weightRandom(probabilityTraits[regenTrait][0],
probabilityTraits[regenTrait][1]); // title, probability
const conflict = true;
return [conflict, image];
}
}
const conflict = false;
return [conflict, image];
}
const unconditionalMatch = (image, imageNum) => {
const unconditionalMatches = getUnconditionalMatches();
for (let index = 0; index < unconditionalMatches.length; index++) {
const match = Object.keys(unconditionalMatches[index]);
if (image[`${match[0]}`] === unconditionalMatches[index][`${match[0]}`]) {
console.log(`Find unconditional match! Image: ${imageNum}.png`);
image[match[1]] = unconditionalMatches[index][match[1]];
const findUnconditionalMatch = true;
return [findUnconditionalMatch, image];
}
}
const findUnconditionalMatch = false;
return [findUnconditionalMatch, image];
}
let statAllTraits = {};
const computeStat = (count) => {
let allJSON = [];
for (const trait in statAllTraits) {
for (const title in statAllTraits[trait]) {
const oneTitle = {"Type": trait,
"Value": title,
"Count": statAllTraits[trait][title],
"Rarity": parseFloat((statAllTraits[trait][title]/count*100).toFixed(2))}
allJSON.push(oneTitle)
}
}
return JSON.stringify(allJSON, null, 4);
}
const createJSON = async (count, traits, collectionInfo, path) => {
try{
let metadataObj = {"copies" : 1,
"description" : null,
"expires_at" : null,
"extra" : null,
"issued_at" : null,
"media" : `${count}.png`,
"media_hash" : null,
"reference" : "",
"reference_hash" : null,
"starts_at" : null,
"title" : `${count}`,
"updated_at" : null,
"properties" : {} };
metadataObj.properties.collection = collectionInfo.collection
metadataObj.properties.collection_id = collectionInfo.collection_id
metadataObj.properties.creator_id = collectionInfo.creator_id
metadataObj.properties.attributes = []
for (const trait in traits){
metadataObj.properties.attributes.push({'trait_type': trait , 'value':traits[trait]})
}
fs.writeFile(`${path}/${count}.json`, JSON.stringify(metadataObj, null, 4), 'ascii', function(err, result) {
if(err) console.log('error', err);
});
} catch (e) {
console.log(e);
}
}
const computeRarity = (images, bundle, userID) => { //userID - на будущее. Возможность избежать коллизии.
const probabilityTraits = getProbability();
let imageProbabilities = {};
for (let index = 0; index < images.length; index++) {
let probability = 1.0;
for (const trait of images[index]) {
const indexTrait = probabilityTraits[trait[0]][0].indexOf(trait[1]);
probability *= probabilityTraits[trait[0]][1][indexTrait] / 100;
}
imageProbabilities[`${index}`] = probability*100 ;
}
let entries = Object.entries(imageProbabilities);
let sorted = entries.sort((a, b) => a[1] - b[1]);
createXLSX(sorted, 'rarity', `./output/${bundle}`)
}
export const generateNFT = async (images, collectionInfo, bundle) => {
const bundleID = randomUUID(); // проверить в DB что нет такого uuid
try{
requestData();
//TODO: проверка на соответствие трейтов и изображений для них!!
const result = await setTimeout(7000, '');
fs.mkdirSync(`./output/${bundle}/orig_value/`, { recursive: true }, err => {
if(err) throw err;
console.log('Все папки успешно созданы');
});
console.log(bundle)
const traits = getTraitTitles();
for (const trait of traits) {
statAllTraits[trait.title] = {};
}
const probabilityTraits = getProbability();
//TODO: добавить проверку на пустоту traits и probabilityTraits - можно через наличие поля length
let index = 0;
let existImagesStrings = [];
let existImagesObjects = [];
while ( index < images ) {
console.log(index);
let newImage = new IterableObject();
//random choise traits
for (let index = 0; index < traits.length; index++) {
newImage[`${traits[index].title}`] = weightRandom(probabilityTraits[`${traits[index].title}`][0],
probabilityTraits[`${traits[index].title}`][1]); // title, probability
}
//conflict check
let num_regeneration = 0;
let conflict = true;
while(conflict){
const resultConflictParse = conflictParse(newImage, probabilityTraits, index)
conflict = resultConflictParse[0];
newImage = resultConflictParse[1];
num_regeneration += 1;
if (num_regeneration < 5){
} // 5 times regenerated
else{
break;
}
}
//unconditional match check
if (num_regeneration >= 5){ // badly generated version
const resultUnconditionalMatch = unconditionalMatch(newImage, index) // тоже должен возврать 2 элемента
const match = resultUnconditionalMatch[0]; //boolean
newImage = resultUnconditionalMatch[1];
if (match){ // fix generate
const resultConflictParse = conflictParse(newImage, probabilityTraits, index);
conflict = resultConflictParse[0];
newImage = resultConflictParse[1];
if (conflict){
console.log(`abort NFT. Image:${index+1}.png`);
continue
} else {
console.log(`Fix successful. Image:${index}.png`)
}
}
else{
console.log(`abort NFT. Image:${index}.png`);
continue
}
}
//prepare data
const newImageString = (Image) => {
let allTrait = '';
for(const trait of Image) {
allTrait = allTrait + `${trait[0]}:${trait[1]} `
}
return allTrait;
}
if (existImagesStrings.includes(newImageString(newImage))) {
console.log(`Image exists: ${index}.png`);
continue;
} else{
existImagesStrings.push(newImageString(newImage));
existImagesObjects.push(newImage);
}
let allTraits = [];
for (const key of newImage){
if (key[1] !== 'None') {
allTraits.push(`./traits/${key[0]}/${key[1]}.png`);
}
}
//draw image
await allTraits.forEach(async(trait) =>{
await drawLayer(trait, index, `./output/${bundle}/orig_value/${index}.png`)
})
//compress image
const files = await imagemin([`output/${bundle}/orig_value/${index}.png`], {
destination: `output/${bundle}/`,
plugins: [
imageminPngquant()
]
});
index += 1;
//prepare stats
for (const trait of newImage) {
if (isNaN(statAllTraits[trait[0]][trait[1]])) {
statAllTraits[trait[0]][trait[1]] = 1;
} else {
statAllTraits[trait[0]][trait[1]] += 1;
}
}
}
await setValues('bundles', ['id', 'path', 'stats', 'status_id'], [`\'${bundleID}\'` , `\'output/${bundle}\'`, `'${computeStat(images)}'`, '\'success\'']);
const result_1 = await setTimeout(5000, '');
for (let index = 0; index < existImagesObjects.length; index++) {
const newImage = existImagesObjects[index];
await createJSON(index, newImage, collectionInfo, `./output/${bundle}`);
}
fsExtra.remove(`./output/${bundle}/orig_value`, err => {
console.error(err)
})
computeRarity(existImagesObjects, bundle);
console.log(`Bundle done: ${bundle}`);
return true
} catch (e) {
console.log(e);
setValues('bundles', ['id', 'path', 'stats', 'status_id'], [`\'${bundleID}\'` , `\'output/${bundle}\'`, `'${computeStat(images)}'`, '\'failed\'']);
return false
}
}