mirror of
https://github.com/tiennm99/WPlace-AutoBOT.git
synced 2026-05-30 10:22:39 +00:00
MiraclePatrickLumowa
41bb4318a5
+ 7 new Color processing algorithm >:) + Account manager reworked + Cooldown Skipping + Turnstile widget pooling
1671 lines
62 KiB
JavaScript
1671 lines
62 KiB
JavaScript
// ==UserScript==
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// @name WPlace Art Extractor
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// @namespace http://tampermonkey.net/
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// @version 2025-09-20.1
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// @description Extract artwork areas to JSON for Auto-Repair.js
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// @author Wbot
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// @match https://wplace.live/*
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// @grant none
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// @icon
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// ==/UserScript==
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localStorage.removeItem("lp");
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// Fallback translation function for when utils manager isn't loaded
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function getText(key, params) {
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// Try to get translation from loadedTranslations
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try {
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if (window.loadedTranslations && window.loadedTranslations[window.state?.language || 'en']) {
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const translation = window.loadedTranslations[window.state?.language || 'en'][key];
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if (translation && typeof translation === 'string') {
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if (params && typeof params === 'object') {
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return translation.replace(/\{(\w+)\}/g, (match, paramKey) => params[paramKey] || match);
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}
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return translation;
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}
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}
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} catch (error) {
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console.warn('Translation lookup error:', error);
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}
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return key; // Fallback to key if no translation found
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}
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;(async () => {
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// Prevent multiple instances of this script from running
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if (window.WPLACE_ART_EXTRACTOR_LOADED) {
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console.log('Art Extractor already loaded, skipping...');
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return;
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}
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window.WPLACE_ART_EXTRACTOR_LOADED = true;
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console.log('%c🎨 WPlace Art Extractor Starting...', 'color: #ff6b35; font-weight: bold; font-size: 16px;');
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console.log('%c✨ Interactive pixel capture for area extraction!', 'color: #26de81; font-weight: bold;');
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// Immediate visual confirmation that script is running
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try {
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const testDiv = document.createElement('div');
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testDiv.innerHTML = `
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<div style="position: fixed; top: 10px; right: 10px; background: #ff6b35; color: white; padding: 8px 12px;
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border-radius: 5px; z-index: 10000; font-family: Arial; font-size: 12px;">
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🎨 Art Extractor Loading...
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</div>
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`;
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document.body.appendChild(testDiv);
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// Remove after 3 seconds
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setTimeout(() => {
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if (testDiv.parentNode) {
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testDiv.parentNode.removeChild(testDiv);
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}
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}, 3000);
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} catch (e) {
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console.log('Could not create test notification:', e);
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}
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// CONFIGURATION CONSTANTS
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const CONFIG = {
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OVERLAY_OPACITY: 0.7,
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SELECTION_COLOR: { r: 50, g: 200, b: 50, a: 180 }, // Green extraction overlay
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CORNER_MARKER_COLOR: { r: 255, g: 255, b: 0, a: 255 }, // Yellow corner markers
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CORNER_MARKER_SIZE: 12, // Corner marker size
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MIN_AREA_SIZE: 1,
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MAX_AREA_SIZE: 2500,
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COLOR_MAP: {
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0: { id: 1, name: 'Black', rgb: { r: 0, g: 0, b: 0 } },
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1: { id: 2, name: 'Dark Gray', rgb: { r: 60, g: 60, b: 60 } },
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2: { id: 3, name: 'Gray', rgb: { r: 120, g: 120, b: 120 } },
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3: { id: 4, name: 'Light Gray', rgb: { r: 210, g: 210, b: 210 } },
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4: { id: 5, name: 'White', rgb: { r: 255, g: 255, b: 255 } },
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5: { id: 6, name: 'Deep Red', rgb: { r: 96, g: 0, b: 24 } },
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6: { id: 7, name: 'Red', rgb: { r: 237, g: 28, b: 36 } },
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7: { id: 8, name: 'Orange', rgb: { r: 255, g: 127, b: 39 } },
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8: { id: 9, name: 'Gold', rgb: { r: 246, g: 170, b: 9 } },
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9: { id: 10, name: 'Yellow', rgb: { r: 249, g: 221, b: 59 } },
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10: { id: 11, name: 'Light Yellow', rgb: { r: 255, g: 250, b: 188 } },
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11: { id: 12, name: 'Dark Green', rgb: { r: 14, g: 185, b: 104 } },
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12: { id: 13, name: 'Green', rgb: { r: 19, g: 230, b: 123 } },
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13: { id: 14, name: 'Light Green', rgb: { r: 135, g: 255, b: 94 } },
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14: { id: 15, name: 'Dark Teal', rgb: { r: 12, g: 129, b: 110 } },
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15: { id: 16, name: 'Teal', rgb: { r: 16, g: 174, b: 166 } },
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16: { id: 17, name: 'Light Teal', rgb: { r: 19, g: 225, b: 190 } },
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17: { id: 20, name: 'Cyan', rgb: { r: 96, g: 247, b: 242 } },
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18: { id: 44, name: 'Light Cyan', rgb: { r: 187, g: 250, b: 242 } },
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19: { id: 18, name: 'Dark Blue', rgb: { r: 40, g: 80, b: 158 } },
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20: { id: 19, name: 'Blue', rgb: { r: 64, g: 147, b: 228 } },
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21: { id: 21, name: 'Indigo', rgb: { r: 107, g: 80, b: 246 } },
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22: { id: 22, name: 'Light Indigo', rgb: { r: 153, g: 177, b: 251 } },
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23: { id: 23, name: 'Dark Purple', rgb: { r: 120, g: 12, b: 153 } },
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24: { id: 24, name: 'Purple', rgb: { r: 170, g: 56, b: 185 } },
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25: { id: 25, name: 'Light Purple', rgb: { r: 224, g: 159, b: 249 } },
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26: { id: 26, name: 'Dark Pink', rgb: { r: 203, g: 0, b: 122 } },
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27: { id: 27, name: 'Pink', rgb: { r: 236, g: 31, b: 128 } },
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28: { id: 28, name: 'Light Pink', rgb: { r: 243, g: 141, b: 169 } },
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29: { id: 29, name: 'Dark Brown', rgb: { r: 104, g: 70, b: 52 } },
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30: { id: 30, name: 'Brown', rgb: { r: 149, g: 104, b: 42 } },
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31: { id: 31, name: 'Beige', rgb: { r: 248, g: 178, b: 119 } },
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32: { id: 52, name: 'Light Beige', rgb: { r: 255, g: 197, b: 165 } },
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33: { id: 32, name: 'Medium Gray', rgb: { r: 170, g: 170, b: 170 } },
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34: { id: 33, name: 'Dark Red', rgb: { r: 165, g: 14, b: 30 } },
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35: { id: 34, name: 'Light Red', rgb: { r: 250, g: 128, b: 114 } },
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36: { id: 35, name: 'Dark Orange', rgb: { r: 228, g: 92, b: 26 } },
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37: { id: 37, name: 'Dark Goldenrod', rgb: { r: 156, g: 132, b: 49 } },
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38: { id: 38, name: 'Goldenrod', rgb: { r: 197, g: 173, b: 49 } },
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39: { id: 39, name: 'Light Goldenrod', rgb: { r: 232, g: 212, b: 95 } },
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40: { id: 40, name: 'Dark Olive', rgb: { r: 74, g: 107, b: 58 } },
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41: { id: 41, name: 'Olive', rgb: { r: 90, g: 148, b: 74 } },
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42: { id: 42, name: 'Light Olive', rgb: { r: 132, g: 197, b: 115 } },
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43: { id: 43, name: 'Dark Cyan', rgb: { r: 15, g: 121, b: 159 } },
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44: { id: 45, name: 'Light Blue', rgb: { r: 125, g: 199, b: 255 } },
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45: { id: 46, name: 'Dark Indigo', rgb: { r: 77, g: 49, b: 184 } },
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46: { id: 47, name: 'Dark Slate Blue', rgb: { r: 74, g: 66, b: 132 } },
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47: { id: 48, name: 'Slate Blue', rgb: { r: 122, g: 113, b: 196 } },
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48: { id: 49, name: 'Light Slate Blue', rgb: { r: 181, g: 174, b: 241 } },
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49: { id: 53, name: 'Dark Peach', rgb: { r: 155, g: 82, b: 73 } },
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50: { id: 54, name: 'Peach', rgb: { r: 209, g: 128, b: 120 } },
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51: { id: 55, name: 'Light Peach', rgb: { r: 250, g: 182, b: 164 } },
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52: { id: 50, name: 'Light Brown', rgb: { r: 219, g: 164, b: 99 } },
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53: { id: 56, name: 'Dark Tan', rgb: { r: 123, g: 99, b: 82 } },
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54: { id: 57, name: 'Tan', rgb: { r: 156, g: 132, b: 107 } },
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55: { id: 36, name: 'Light Tan', rgb: { r: 214, g: 181, b: 148 } },
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56: { id: 51, name: 'Dark Beige', rgb: { r: 209, g: 128, b: 81 } },
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57: { id: 61, name: 'Dark Stone', rgb: { r: 109, g: 100, b: 63 } },
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58: { id: 62, name: 'Stone', rgb: { r: 148, g: 140, b: 107 } },
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59: { id: 63, name: 'Light Stone', rgb: { r: 205, g: 197, b: 158 } },
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60: { id: 58, name: 'Dark Slate', rgb: { r: 51, g: 57, b: 65 } },
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61: { id: 59, name: 'Slate', rgb: { r: 109, g: 117, b: 141 } },
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62: { id: 60, name: 'Light Slate', rgb: { r: 179, g: 185, b: 209 } },
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63: { id: 0, name: 'Transparent', rgb: null },
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}
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};
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// Expose CONFIG globally for the utils manager and other modules
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window.ART_EXTRACTOR_CONFIG = CONFIG;
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// GLOBAL STATE
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const state = {
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// Pixel capture state
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isCapturing: false,
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capturedPixels: [], // Array of painted pixels with their world coordinates
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requiredPixels: 2, // Need 2 corner pixels
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// Selection area
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selectionArea: null, // { x, y, width, height, regionX, regionY }
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// UI state
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ui: null,
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overlayManager: null, // Will use global overlay manager like Auto-Image
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// Scanning state
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isScanning: false,
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scannedPixels: [],
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totalPixels: 0,
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// Auto-Image integration state
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imageData: null,
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startPosition: null,
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region: null,
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// Canvas monitoring
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paintEventListener: null,
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lastPaintEvent: null,
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language: 'en',
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};
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// Expose state globally
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window.ART_EXTRACTOR_STATE = state;
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// Use Auto-Image's overlay system - no custom overlay manager needed
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// We'll integrate with the global overlay manager that Auto-Image uses
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// Monitor WPlace paint events to capture pixel coordinates using fetch interception
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let originalFetch = null;
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let fetchInterceptionActive = false;
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function setupPixelCapture() {
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console.log('🎯 Setting up pixel paint monitoring...');
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try {
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// Store original fetch if not already stored
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if (!originalFetch) {
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originalFetch = window.fetch;
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}
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// Install fetch interceptor for pixel capture
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if (!fetchInterceptionActive) {
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window.fetch = async (url, options) => {
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// Check if this is a pixel painting request
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if (state.isCapturing &&
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typeof url === 'string' &&
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url.includes('/s0/pixel/') &&
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options &&
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options.method === 'POST') {
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try {
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console.log('🎯 Intercepting pixel paint request:', url);
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// Call original fetch first
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const response = await originalFetch(url, options);
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// If request was successful and we have body data, extract coordinates
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if (response.ok && options.body) {
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let requestBody;
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try {
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requestBody = JSON.parse(options.body);
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} catch (parseError) {
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console.warn('Could not parse request body:', parseError);
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return response;
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}
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// Extract coordinates from request
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if (requestBody.coords && Array.isArray(requestBody.coords) && requestBody.coords.length >= 2) {
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const localX = requestBody.coords[0]; // 0-999 within tile
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const localY = requestBody.coords[1]; // 0-999 within tile
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// Extract tile coordinates from URL: /s0/pixel/{tileX}/{tileY}
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const tileMatch = url.match(/\/s0\/pixel\/(\-?\d+)\/(\-?\d+)/);
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if (tileMatch) {
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const tileX = parseInt(tileMatch[1]);
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const tileY = parseInt(tileMatch[2]);
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// Convert to global canvas coordinates
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const globalX = tileX * 1000 + localX;
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const globalY = tileY * 1000 + localY;
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console.log(`🎯 Captured painted pixel: (${globalX}, ${globalY}) from tile (${tileX}, ${tileY}) local (${localX}, ${localY})`);
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// Add the captured pixel
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setTimeout(() => {
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addCapturedPixel(globalX, globalY);
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}, 100);
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}
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}
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}
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return response;
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} catch (error) {
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console.error('❌ Error intercepting pixel paint:', error);
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// Fallback to original fetch
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return originalFetch(url, options);
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}
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}
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// For all other requests, use original fetch
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return originalFetch(url, options);
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};
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fetchInterceptionActive = true;
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console.log('✅ Fetch interception enabled');
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}
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return true;
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} catch (error) {
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console.warn('⚠️ Could not set up paint monitoring:', error);
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return false;
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}
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}
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// Restore original fetch function
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function restoreFetch() {
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if (originalFetch && fetchInterceptionActive) {
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window.fetch = originalFetch;
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fetchInterceptionActive = false;
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console.log('🔄 Original fetch restored');
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}
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}
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// Handle canvas clicks during capture mode (fallback method)
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function handleCanvasClick(event) {
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if (!state.isCapturing) return;
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// Only handle clicks on canvas elements
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const canvas = event.target.closest('canvas');
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if (!canvas) return;
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console.log('� Canvas click detected during capture mode');
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// For now, we'll use manual coordinate input as the primary method
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// since intercepting the actual paint events is complex
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setTimeout(() => {
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if (state.isCapturing && state.capturedPixels.length < state.requiredPixels) {
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promptForCoordinates();
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}
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}, 100);
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}
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// Handle detected paint events (for future implementation)
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function handlePaintEvent(event) {
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if (!state.isCapturing) return;
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console.log('🎯 Processing paint event:', event);
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// Extract coordinates from paint event
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let worldX, worldY;
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if (event.x !== undefined && event.y !== undefined) {
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worldX = event.x;
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worldY = event.y;
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} else if (event.position) {
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worldX = event.position.x;
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worldY = event.position.y;
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} else if (event.coords) {
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worldX = event.coords[0];
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worldY = event.coords[1];
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} else {
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console.warn('⚠️ Could not extract coordinates from paint event');
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return;
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}
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// Add the painted pixel to our capture list
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addCapturedPixel(worldX, worldY);
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}
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// Manual coordinate input (fallback method when auto-capture doesn't work)
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function promptForCoordinates() {
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if (!state.isCapturing) {
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showAlert('Not in capture mode', 'warning');
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return;
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}
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const pixelNum = state.capturedPixels.length + 1;
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const cornerType = pixelNum === 1 ? 'UPPER-LEFT' : 'LOWER-RIGHT';
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const coordStr = prompt(
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`📍 Enter coordinates for ${cornerType} corner (${pixelNum}/${state.requiredPixels})\n\n` +
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`Format: x,y (e.g., 1000,500)\n\n` +
|
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`To find coordinates:\n` +
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`1. Navigate to the ${cornerType} corner of your area\n` +
|
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`2. Hover over the exact pixel position\n` +
|
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`3. Check coordinates in bottom-left corner of WPlace\n` +
|
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`4. Enter them here:\n\n` +
|
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`Tip: You can also just paint a pixel there and it will be captured automatically!`
|
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);
|
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|
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if (coordStr && coordStr.trim()) {
|
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const coords = coordStr.trim().split(',').map(n => parseInt(n.trim()));
|
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if (coords.length === 2 && !isNaN(coords[0]) && !isNaN(coords[1])) {
|
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addCapturedPixel(coords[0], coords[1]);
|
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} else {
|
||
showAlert('Invalid coordinates format. Use: x,y (e.g., 1000,500)', 'error');
|
||
// Try again
|
||
setTimeout(() => promptForCoordinates(), 500);
|
||
}
|
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} else if (coordStr !== null) {
|
||
// User entered empty string, try again
|
||
showAlert('Please enter coordinates', 'warning');
|
||
setTimeout(() => promptForCoordinates(), 500);
|
||
}
|
||
// If user clicked cancel (coordStr === null), do nothing
|
||
}
|
||
|
||
// Add a captured pixel with enhanced validation
|
||
function addCapturedPixel(worldX, worldY) {
|
||
if (!state.isCapturing) {
|
||
console.log('Not in capture mode, ignoring pixel');
|
||
return;
|
||
}
|
||
|
||
if (state.capturedPixels.length >= state.requiredPixels) {
|
||
showAlert('Already have enough pixels', 'warning');
|
||
return;
|
||
}
|
||
|
||
// Validate coordinates
|
||
if (!Number.isFinite(worldX) || !Number.isFinite(worldY)) {
|
||
showAlert('Invalid pixel coordinates', 'error');
|
||
return;
|
||
}
|
||
|
||
// Calculate region and local coordinates
|
||
const regionX = Math.floor(worldX / 1000);
|
||
const regionY = Math.floor(worldY / 1000);
|
||
const pixelX = worldX % 1000;
|
||
const pixelY = worldY % 1000;
|
||
|
||
const pixel = {
|
||
worldX,
|
||
worldY,
|
||
regionX,
|
||
regionY,
|
||
pixelX,
|
||
pixelY,
|
||
timestamp: Date.now(),
|
||
cornerType: state.capturedPixels.length === 0 ? 'upperLeft' : 'lowerRight'
|
||
};
|
||
|
||
state.capturedPixels.push(pixel);
|
||
console.log(`🎯 Captured ${pixel.cornerType} pixel ${state.capturedPixels.length}/${state.requiredPixels}:`, pixel);
|
||
|
||
updateUI();
|
||
|
||
// Progress messages
|
||
if (state.capturedPixels.length === 1) {
|
||
showAlert(`✅ Upper-left corner captured: (${worldX}, ${worldY})`, 'success');
|
||
setTimeout(() => {
|
||
showAlert('🎯 Now paint a pixel at the LOWER-RIGHT corner of the area', 'info');
|
||
}, 1500);
|
||
} else if (state.capturedPixels.length >= state.requiredPixels) {
|
||
showAlert(`✅ Lower-right corner captured: (${worldX}, ${worldY})`, 'success');
|
||
// Small delay before auto-scanning to show the success message
|
||
setTimeout(() => {
|
||
completeAreaCapture();
|
||
// Auto-trigger scan after area capture is complete
|
||
setTimeout(() => {
|
||
scanSelectedArea();
|
||
}, 500);
|
||
}, 1000);
|
||
}
|
||
}
|
||
|
||
// Complete area capture when we have 2 pixels with validation
|
||
function completeAreaCapture() {
|
||
state.isCapturing = false;
|
||
restoreFetch(); // Restore original fetch function
|
||
|
||
if (state.capturedPixels.length < 2) {
|
||
showAlert('Need at least 2 pixels to define area', 'error');
|
||
return;
|
||
}
|
||
|
||
// Calculate bounding box from captured pixels
|
||
const pixels = state.capturedPixels;
|
||
const minX = Math.min(...pixels.map(p => p.worldX));
|
||
const minY = Math.min(...pixels.map(p => p.worldY));
|
||
const maxX = Math.max(...pixels.map(p => p.worldX));
|
||
const maxY = Math.max(...pixels.map(p => p.worldY));
|
||
|
||
// Validation: ensure upper-left is actually upper-left
|
||
if (minX >= maxX || minY >= maxY) {
|
||
showAlert('❌ Invalid area: upper-left corner must be less than lower-right corner', 'error');
|
||
// Reset capture to try again
|
||
state.capturedPixels = [];
|
||
startPixelCapture();
|
||
return;
|
||
}
|
||
|
||
const width = maxX - minX + 1;
|
||
const height = maxY - minY + 1;
|
||
|
||
// Size validation
|
||
if (width < CONFIG.MIN_AREA_SIZE || height < CONFIG.MIN_AREA_SIZE) {
|
||
showAlert(`❌ Area too small: ${width}×${height} pixels (minimum: ${CONFIG.MIN_AREA_SIZE}×${CONFIG.MIN_AREA_SIZE})`, 'error');
|
||
return;
|
||
}
|
||
|
||
if (width > CONFIG.MAX_AREA_SIZE || height > CONFIG.MAX_AREA_SIZE) {
|
||
showAlert(`❌ Area too large: ${width}×${height} pixels (maximum: ${CONFIG.MAX_AREA_SIZE}×${CONFIG.MAX_AREA_SIZE})`, 'error');
|
||
return;
|
||
}
|
||
|
||
state.selectionArea = {
|
||
x1: minX, // Coordinate naming
|
||
y1: minY,
|
||
x2: maxX,
|
||
y2: maxY,
|
||
x: minX, // Keep compatibility
|
||
y: minY,
|
||
width: width,
|
||
height: height,
|
||
regionX: Math.floor(minX / 1000),
|
||
regionY: Math.floor(minY / 1000)
|
||
};
|
||
|
||
console.log('📐 Area capture complete:', state.selectionArea);
|
||
showAlert(`✅ Area captured: ${width}×${height} pixels from (${minX},${minY}) to (${maxX},${maxY})`, 'success');
|
||
|
||
// Set up overlay using Auto-Image's system
|
||
setTimeout(() => {
|
||
setupAutoImageOverlay();
|
||
}, 500);
|
||
|
||
updateUI();
|
||
}
|
||
|
||
// Set up visual overlay for selected extraction area (simplified approach)
|
||
async function setupAutoImageOverlay() {
|
||
if (!state.selectionArea) return;
|
||
|
||
console.log('🎨 Setting up extraction area overlay...');
|
||
|
||
try {
|
||
const { x1, y1, x2, y2, width, height, regionX, regionY } = state.selectionArea;
|
||
|
||
// Try to use Auto-Image's overlay if available, otherwise create simple visual feedback
|
||
if (window.autoImageOverlayManager) {
|
||
console.log('📊 Using Auto-Image overlay manager for area visualization');
|
||
|
||
const overlayMgr = window.autoImageOverlayManager;
|
||
|
||
// Create overlay canvas showing the selected area
|
||
const canvas = new OffscreenCanvas(width, height);
|
||
const ctx = canvas.getContext('2d');
|
||
|
||
// Fill with extraction area overlay
|
||
ctx.fillStyle = `rgba(${CONFIG.SELECTION_COLOR.r}, ${CONFIG.SELECTION_COLOR.g}, ${CONFIG.SELECTION_COLOR.b}, 0.3)`;
|
||
ctx.fillRect(0, 0, width, height);
|
||
|
||
// Add extraction border
|
||
ctx.strokeStyle = `rgba(${CONFIG.SELECTION_COLOR.r}, ${CONFIG.SELECTION_COLOR.g}, ${CONFIG.SELECTION_COLOR.b}, 0.8)`;
|
||
ctx.lineWidth = 2;
|
||
ctx.strokeRect(1, 1, width - 2, height - 2);
|
||
|
||
// Add corner markers
|
||
const cornerSize = CONFIG.CORNER_MARKER_SIZE;
|
||
ctx.fillStyle = `rgba(${CONFIG.CORNER_MARKER_COLOR.r}, ${CONFIG.CORNER_MARKER_COLOR.g}, ${CONFIG.CORNER_MARKER_COLOR.b}, 1)`;
|
||
|
||
// Top-left corner
|
||
ctx.fillRect(0, 0, cornerSize, cornerSize);
|
||
// Top-right corner
|
||
ctx.fillRect(width - cornerSize, 0, cornerSize, cornerSize);
|
||
// Bottom-left corner
|
||
ctx.fillRect(0, height - cornerSize, cornerSize, cornerSize);
|
||
// Bottom-right corner
|
||
ctx.fillRect(width - cornerSize, height - cornerSize, cornerSize, cornerSize);
|
||
|
||
try {
|
||
// Create image bitmap
|
||
const overlayBitmap = await canvas.transferToImageBitmap();
|
||
|
||
// Set the overlay using Auto-Image's API
|
||
await overlayMgr.setImage(overlayBitmap);
|
||
await overlayMgr.setPosition(
|
||
{ x: x1 % 1000, y: y1 % 1000 },
|
||
{ x: regionX, y: regionY }
|
||
);
|
||
|
||
// Enable the overlay
|
||
overlayMgr.enable();
|
||
|
||
// Store references for cleanup
|
||
state.overlayManager = overlayMgr;
|
||
state.imageData = overlayBitmap;
|
||
state.startPosition = { x: x1 % 1000, y: y1 % 1000 };
|
||
state.region = { x: regionX, y: regionY };
|
||
|
||
console.log('✅ Extraction area overlay enabled');
|
||
} catch (overlayError) {
|
||
console.warn('⚠️ Could not set overlay, continuing without visual feedback:', overlayError);
|
||
}
|
||
|
||
} else {
|
||
console.log('📋 Auto-Image overlay not available, using console feedback only');
|
||
}
|
||
|
||
} catch (error) {
|
||
console.error('❌ Failed to setup extraction area overlay:', error);
|
||
// Continue without overlay - not critical for extraction functionality
|
||
}
|
||
}
|
||
// Tile-based pixel scanning for area extraction
|
||
async function scanSelectedArea() {
|
||
if (!state.selectionArea) {
|
||
showAlert('No area selected', 'error');
|
||
return;
|
||
}
|
||
|
||
console.log('🔍 Starting area scan...');
|
||
state.isScanning = true;
|
||
state.scannedPixels = [];
|
||
updateUI();
|
||
|
||
try {
|
||
const { x1, y1, x2, y2 } = state.selectionArea;
|
||
const areaWidth = x2 - x1 + 1;
|
||
const areaHeight = y2 - y1 + 1;
|
||
|
||
console.log(`🔍 Analyzing area ${areaWidth}x${areaHeight} from (${x1},${y1}) to (${x2},${y2})`);
|
||
|
||
// Tile calculation
|
||
const startTileX = Math.floor(x1 / 1000);
|
||
const startTileY = Math.floor(y1 / 1000);
|
||
const endTileX = Math.floor(x2 / 1000);
|
||
const endTileY = Math.floor(y2 / 1000);
|
||
|
||
state.totalPixels = areaWidth * areaHeight;
|
||
let processedPixels = 0;
|
||
|
||
// Process each tile that intersects with our area
|
||
for (let tileY = startTileY; tileY <= endTileY; tileY++) {
|
||
for (let tileX = startTileX; tileX <= endTileX; tileX++) {
|
||
try {
|
||
console.log(`📄 Processing tile (${tileX}, ${tileY})...`);
|
||
|
||
// Download tile data
|
||
const tileBlob = await getTileImage(tileX, tileY);
|
||
if (!tileBlob) {
|
||
console.warn(`⚠️ Could not download tile ${tileX},${tileY}, skipping...`);
|
||
continue;
|
||
}
|
||
|
||
// Process tile data
|
||
const tileImageData = await processTileBlob(tileBlob);
|
||
if (!tileImageData) {
|
||
console.warn(`⚠️ Could not process tile ${tileX},${tileY}, skipping...`);
|
||
continue;
|
||
}
|
||
|
||
// Calculate intersection between area and current tile
|
||
const tileStartX = tileX * 1000;
|
||
const tileStartY = tileY * 1000;
|
||
const tileEndX = tileStartX + 1000;
|
||
const tileEndY = tileStartY + 1000;
|
||
|
||
const intersectStartX = Math.max(x1, tileStartX);
|
||
const intersectStartY = Math.max(y1, tileStartY);
|
||
const intersectEndX = Math.min(x2 + 1, tileEndX);
|
||
const intersectEndY = Math.min(y2 + 1, tileEndY);
|
||
|
||
// Extract pixels from intersection area
|
||
for (let globalY = intersectStartY; globalY < intersectEndY; globalY++) {
|
||
for (let globalX = intersectStartX; globalX < intersectEndX; globalX++) {
|
||
// Convert to tile-local coordinates
|
||
const localX = globalX - tileStartX;
|
||
const localY = globalY - tileStartY;
|
||
|
||
// Normalize coordinates
|
||
const normalizedX = (localX % 1000 + 1000) % 1000;
|
||
const normalizedY = (localY % 1000 + 1000) % 1000;
|
||
|
||
if (normalizedX >= 0 && normalizedX < 1000 &&
|
||
normalizedY >= 0 && normalizedY < 1000 &&
|
||
normalizedX < tileImageData.width &&
|
||
normalizedY < tileImageData.height) {
|
||
|
||
// Extract RGBA values
|
||
const pixelIndex = (normalizedY * tileImageData.width + normalizedX) * 4;
|
||
const r = tileImageData.data[pixelIndex];
|
||
const g = tileImageData.data[pixelIndex + 1];
|
||
const b = tileImageData.data[pixelIndex + 2];
|
||
const a = tileImageData.data[pixelIndex + 3];
|
||
|
||
if (a > 0) { // Skip transparent pixels
|
||
// Find closest color in WPlace palette
|
||
const closestColor = findClosestColor(r, g, b);
|
||
|
||
if (closestColor) {
|
||
// Convert to area-relative coordinates
|
||
const areaX = globalX - x1;
|
||
const areaY = globalY - y1;
|
||
|
||
state.scannedPixels.push({
|
||
x: areaX,
|
||
y: areaY,
|
||
worldX: globalX,
|
||
worldY: globalY,
|
||
color: closestColor,
|
||
rgb: { r, g, b, a }
|
||
});
|
||
}
|
||
}
|
||
}
|
||
|
||
processedPixels++;
|
||
}
|
||
}
|
||
|
||
// Update progress every tile
|
||
updateUI();
|
||
await new Promise(resolve => setTimeout(resolve, 1));
|
||
|
||
} catch (error) {
|
||
console.error(`❌ Error processing tile ${tileX},${tileY}:`, error);
|
||
}
|
||
}
|
||
}
|
||
|
||
console.log(`✅ Scan complete: ${state.scannedPixels.length} pixels extracted`);
|
||
showAlert(`✅ Extracted ${state.scannedPixels.length} pixels from area`, 'success');
|
||
|
||
} catch (error) {
|
||
console.error('❌ Area extraction failed:', error);
|
||
showAlert(`❌ Extraction failed: ${error.message}`, 'error');
|
||
} finally {
|
||
state.isScanning = false;
|
||
updateUI();
|
||
}
|
||
}
|
||
|
||
// Download tile images
|
||
async function getTileImage(tileX, tileY) {
|
||
try {
|
||
const tileUrl = `https://backend.wplace.live/files/s0/tiles/${tileX}/${tileY}.png`;
|
||
const response = await fetch(tileUrl);
|
||
if (!response.ok) {
|
||
throw new Error(`HTTP ${response.status}`);
|
||
}
|
||
return await response.blob();
|
||
} catch (error) {
|
||
console.warn(`Error downloading tile ${tileX},${tileY}:`, error);
|
||
return null;
|
||
}
|
||
}
|
||
|
||
// Process tile blob into ImageData
|
||
async function processTileBlob(blob) {
|
||
try {
|
||
const img = new Image();
|
||
const canvas = document.createElement('canvas');
|
||
const ctx = canvas.getContext('2d');
|
||
|
||
return new Promise((resolve, reject) => {
|
||
img.onload = () => {
|
||
canvas.width = img.width;
|
||
canvas.height = img.height;
|
||
ctx.drawImage(img, 0, 0);
|
||
const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
|
||
resolve(imageData);
|
||
};
|
||
img.onerror = reject;
|
||
img.src = URL.createObjectURL(blob);
|
||
});
|
||
} catch (error) {
|
||
console.error('Error processing tile blob:', error);
|
||
return null;
|
||
}
|
||
}
|
||
|
||
// Color matching using LAB color space for better accuracy
|
||
function findClosestColor(r, g, b) {
|
||
if (!CONFIG.COLOR_MAP) return null;
|
||
|
||
let closestColor = null;
|
||
let minDistance = Infinity;
|
||
|
||
// Convert input RGB to LAB color space
|
||
const inputLab = rgbToLab(r, g, b);
|
||
|
||
for (const [index, colorInfo] of Object.entries(CONFIG.COLOR_MAP)) {
|
||
if (!colorInfo.rgb) continue; // Skip transparent
|
||
|
||
const { r: cr, g: cg, b: cb } = colorInfo.rgb;
|
||
|
||
// Convert palette color to LAB
|
||
const paletteLab = rgbToLab(cr, cg, cb);
|
||
|
||
// Calculate Delta-E distance
|
||
const deltaE = calculateDeltaE(inputLab, paletteLab);
|
||
|
||
if (deltaE < minDistance) {
|
||
minDistance = deltaE;
|
||
closestColor = colorInfo;
|
||
}
|
||
}
|
||
|
||
return closestColor;
|
||
}
|
||
|
||
// RGB to LAB color space conversion
|
||
function rgbToLab(r, g, b) {
|
||
// Normalize RGB values
|
||
r = r / 255;
|
||
g = g / 255;
|
||
b = b / 255;
|
||
|
||
// Apply gamma correction
|
||
r = r > 0.04045 ? Math.pow((r + 0.055) / 1.055, 2.4) : r / 12.92;
|
||
g = g > 0.04045 ? Math.pow((g + 0.055) / 1.055, 2.4) : g / 12.92;
|
||
b = b > 0.04045 ? Math.pow((b + 0.055) / 1.055, 2.4) : b / 12.92;
|
||
|
||
// Convert to XYZ
|
||
const x = r * 0.4124564 + g * 0.3575761 + b * 0.1804375;
|
||
const y = r * 0.2126729 + g * 0.7151522 + b * 0.072175;
|
||
const z = r * 0.0193339 + g * 0.119192 + b * 0.9503041;
|
||
|
||
// Convert XYZ to LAB
|
||
const xn = x / 0.95047;
|
||
const yn = y / 1.00000;
|
||
const zn = z / 1.08883;
|
||
|
||
const fx = xn > 0.008856 ? Math.pow(xn, 1/3) : (7.787 * xn + 16/116);
|
||
const fy = yn > 0.008856 ? Math.pow(yn, 1/3) : (7.787 * yn + 16/116);
|
||
const fz = zn > 0.008856 ? Math.pow(zn, 1/3) : (7.787 * zn + 16/116);
|
||
|
||
const l = 116 * fy - 16;
|
||
const a = 500 * (fx - fy);
|
||
const bLab = 200 * (fy - fz);
|
||
|
||
return { l, a, b: bLab };
|
||
}
|
||
|
||
// Delta-E color difference calculation
|
||
function calculateDeltaE(lab1, lab2) {
|
||
const deltaL = lab1.l - lab2.l;
|
||
const deltaA = lab1.a - lab2.a;
|
||
const deltaB = lab1.b - lab2.b;
|
||
|
||
return Math.sqrt(deltaL * deltaL + deltaA * deltaA + deltaB * deltaB);
|
||
}
|
||
|
||
// Export to JSON (Auto-Image compatible format for Auto-Repair)
|
||
function exportToJSON(exportType = 'autofix') {
|
||
if (!state.selectionArea || state.scannedPixels.length === 0) {
|
||
showAlert('No data to export. Please select an area and scan it first.', 'error');
|
||
return;
|
||
}
|
||
|
||
console.log(`📤 Exporting ${state.scannedPixels.length} pixels in ${exportType} format...`);
|
||
console.log('🔍 [DEBUG] Selection area:', state.selectionArea);
|
||
console.log('🔍 [DEBUG] Scanned pixels count:', state.scannedPixels.length);
|
||
|
||
try {
|
||
// Get filename from input
|
||
const filenameInput = state.ui?.querySelector('#filename-input');
|
||
const userFilename = filenameInput?.value?.trim() || '.json';
|
||
let filename;
|
||
|
||
if (userFilename === '.json' || userFilename === '') {
|
||
// Use default filename with timestamp
|
||
const timestamp = new Date().toISOString().slice(0, 19).replace(/:/g, '-');
|
||
filename = `wplace-extracted-${exportType}-${timestamp}.json`;
|
||
} else {
|
||
// Ensure filename ends with .json
|
||
filename = userFilename.endsWith('.json') ? userFilename : userFilename + '.json';
|
||
}
|
||
|
||
// Build Auto-Image compatible data structure
|
||
const { x1, y1, x2, y2 } = state.selectionArea;
|
||
const width = x2 - x1 + 1;
|
||
const height = y2 - y1 + 1;
|
||
|
||
// Convert scanned pixels to Auto-Image pixel format (Uint8ClampedArray)
|
||
const imagePixels = new Uint8ClampedArray(width * height * 4);
|
||
imagePixels.fill(0); // Initialize with transparent pixels
|
||
|
||
// Fill pixel data from scanned pixels
|
||
for (const pixel of state.scannedPixels) {
|
||
const pixelIndex = (pixel.y * width + pixel.x) * 4;
|
||
if (pixelIndex >= 0 && pixelIndex < imagePixels.length - 3) {
|
||
const rgb = pixel.color?.rgb || pixel.rgb;
|
||
imagePixels[pixelIndex] = rgb.r;
|
||
imagePixels[pixelIndex + 1] = rgb.g;
|
||
imagePixels[pixelIndex + 2] = rgb.b;
|
||
imagePixels[pixelIndex + 3] = rgb.a || 255;
|
||
}
|
||
}
|
||
|
||
// Create different formats based on export type
|
||
let saveData;
|
||
|
||
if (exportType === 'autofix') {
|
||
// Auto-Fix format: Include exact position and region for restoration
|
||
saveData = {
|
||
timestamp: Date.now(),
|
||
version: '2.2',
|
||
state: {
|
||
totalPixels: width * height,
|
||
paintedPixels: 0,
|
||
lastPosition: { x: 0, y: 0 },
|
||
startPosition: { x: x1 % 1000, y: y1 % 1000 },
|
||
region: { x: Math.floor(x1 / 1000), y: Math.floor(y1 / 1000) },
|
||
imageLoaded: true,
|
||
colorsChecked: true,
|
||
coordinateMode: 'rows',
|
||
coordinateDirection: 'top-left',
|
||
coordinateSnake: false,
|
||
blockWidth: 1,
|
||
blockHeight: 1,
|
||
availableColors: Object.values(CONFIG.COLOR_MAP).filter(c => c.rgb).map(color => ({
|
||
...color,
|
||
rgb: [color.rgb.r, color.rgb.g, color.rgb.b] // Convert RGB object to array for Auto-Image compatibility
|
||
})),
|
||
// Additional Auto-Image required fields for compatibility
|
||
paintWhitePixels: true,
|
||
paintTransparentPixels: false,
|
||
displayCharges: 0,
|
||
preciseCurrentCharges: 0,
|
||
maxCharges: 1,
|
||
cooldown: 30000,
|
||
stopFlag: false,
|
||
selectingPosition: false,
|
||
minimized: false,
|
||
estimatedTime: 0,
|
||
language: 'en',
|
||
paintingSpeed: 5,
|
||
batchMode: 'normal',
|
||
randomBatchMin: 1,
|
||
randomBatchMax: 5,
|
||
cooldownChargeThreshold: 10,
|
||
overlayOpacity: 0.7,
|
||
blueMarbleEnabled: false,
|
||
ditheringEnabled: true,
|
||
colorMatchingAlgorithm: 'lab',
|
||
enableChromaPenalty: true,
|
||
chromaPenaltyWeight: 0.15,
|
||
customTransparencyThreshold: 128,
|
||
customWhiteThreshold: 230,
|
||
paintUnavailablePixels: true,
|
||
// Critical missing fields that Auto-Image expects
|
||
fullChargeData: null,
|
||
fullChargeInterval: null,
|
||
tokenSource: 'generator',
|
||
initialSetupComplete: true,
|
||
resizeSettings: null,
|
||
originalImage: null,
|
||
resizeIgnoreMask: null
|
||
},
|
||
imageData: {
|
||
width: width,
|
||
height: height,
|
||
pixels: Array.from(imagePixels),
|
||
totalPixels: width * height
|
||
},
|
||
paintedMapPacked: null
|
||
};
|
||
} else {
|
||
// Auto-Image format: Empty position and region for manual placement
|
||
saveData = {
|
||
timestamp: Date.now(),
|
||
version: '2.2',
|
||
state: {
|
||
totalPixels: width * height,
|
||
paintedPixels: 0,
|
||
lastPosition: { x: 0, y: 0 },
|
||
startPosition: null, // Empty for manual placement
|
||
region: null, // Empty for manual placement
|
||
imageLoaded: true,
|
||
colorsChecked: true,
|
||
coordinateMode: 'rows',
|
||
coordinateDirection: 'top-left',
|
||
coordinateSnake: false,
|
||
blockWidth: 1,
|
||
blockHeight: 1,
|
||
availableColors: Object.values(CONFIG.COLOR_MAP).filter(c => c.rgb).map(color => ({
|
||
...color,
|
||
rgb: [color.rgb.r, color.rgb.g, color.rgb.b] // Convert RGB object to array for Auto-Image compatibility
|
||
})),
|
||
// Additional Auto-Image required fields for compatibility
|
||
paintWhitePixels: true,
|
||
paintTransparentPixels: false,
|
||
displayCharges: 0,
|
||
preciseCurrentCharges: 0,
|
||
maxCharges: 1,
|
||
cooldown: 30000,
|
||
stopFlag: false,
|
||
selectingPosition: false,
|
||
minimized: false,
|
||
estimatedTime: 0,
|
||
language: 'en',
|
||
paintingSpeed: 5,
|
||
batchMode: 'normal',
|
||
randomBatchMin: 1,
|
||
randomBatchMax: 5,
|
||
cooldownChargeThreshold: 10,
|
||
overlayOpacity: 0.7,
|
||
blueMarbleEnabled: false,
|
||
ditheringEnabled: true,
|
||
colorMatchingAlgorithm: 'lab',
|
||
enableChromaPenalty: true,
|
||
chromaPenaltyWeight: 0.15,
|
||
customTransparencyThreshold: 128,
|
||
customWhiteThreshold: 230,
|
||
paintUnavailablePixels: true,
|
||
// Critical missing fields that Auto-Image expects
|
||
fullChargeData: null,
|
||
fullChargeInterval: null,
|
||
tokenSource: 'generator',
|
||
initialSetupComplete: true,
|
||
resizeSettings: null,
|
||
originalImage: null,
|
||
resizeIgnoreMask: null
|
||
},
|
||
imageData: {
|
||
width: width,
|
||
height: height,
|
||
pixels: Array.from(imagePixels),
|
||
totalPixels: width * height
|
||
},
|
||
paintedMapPacked: null
|
||
};
|
||
}
|
||
|
||
// Debug: Log the export data structure before saving
|
||
console.log('🔍 [DEBUG] Export data structure:', {
|
||
hasState: !!saveData.state,
|
||
hasImageData: !!saveData.imageData,
|
||
topLevelKeys: Object.keys(saveData),
|
||
stateKeys: saveData.state ? Object.keys(saveData.state) : 'N/A',
|
||
imageDataKeys: saveData.imageData ? Object.keys(saveData.imageData) : 'N/A',
|
||
version: saveData.version,
|
||
exportType: exportType,
|
||
imageDataPixelsLength: saveData.imageData?.pixels?.length || 0,
|
||
imageWidth: saveData.imageData?.width || 0,
|
||
imageHeight: saveData.imageData?.height || 0
|
||
});
|
||
|
||
// Validate export data before saving
|
||
if (!saveData.state || !saveData.imageData) {
|
||
throw new Error('Export validation failed: Missing state or imageData');
|
||
}
|
||
|
||
if (!saveData.imageData.pixels || saveData.imageData.pixels.length === 0) {
|
||
throw new Error('Export validation failed: No pixel data to export');
|
||
}
|
||
|
||
// Download the file using Auto-Image's method
|
||
const dataStr = JSON.stringify(saveData, null, 2);
|
||
const blob = new Blob([dataStr], { type: 'application/json' });
|
||
const url = URL.createObjectURL(blob);
|
||
|
||
const a = document.createElement('a');
|
||
a.href = url;
|
||
a.download = filename;
|
||
document.body.appendChild(a);
|
||
a.click();
|
||
document.body.removeChild(a);
|
||
URL.revokeObjectURL(url);
|
||
|
||
console.log(`✅ ${exportType} export complete: ${filename}`);
|
||
console.log(`📍 Area: ${width}x${height} from (${x1},${y1}) to (${x2},${y2})`);
|
||
|
||
if (exportType === 'autofix') {
|
||
console.log(`🔗 Compatible with Auto-Repair for restoration`);
|
||
showAlert(`✅ Exported ${state.scannedPixels.length} pixels for Auto-Fix to ${filename}`, 'success');
|
||
} else {
|
||
console.log(`🎨 Ready for manual placement in Auto-Image`);
|
||
showAlert(`✅ Exported ${state.scannedPixels.length} pixels for Auto-Image to ${filename}`, 'success');
|
||
}
|
||
|
||
} catch (error) {
|
||
console.error('❌ Export failed:', error);
|
||
showAlert(`❌ Export failed: ${error.message}`, 'error');
|
||
}
|
||
}
|
||
|
||
// Filename input handlers
|
||
function handleFilenameInput(event) {
|
||
const input = event.target;
|
||
let value = input.value;
|
||
|
||
// Always ensure it ends with .json
|
||
if (!value.endsWith('.json')) {
|
||
if (value.length > 0 && !value.includes('.json')) {
|
||
input.value = value + '.json';
|
||
} else if (value === '') {
|
||
input.value = '.json';
|
||
}
|
||
}
|
||
|
||
// Position cursor before .json
|
||
if (input.value.endsWith('.json') && event.inputType !== 'deleteContentBackward') {
|
||
const nameLength = input.value.length - 5; // -5 for '.json'
|
||
input.setSelectionRange(nameLength, nameLength);
|
||
}
|
||
}
|
||
|
||
function preventJsonDeletion(event) {
|
||
const input = event.target;
|
||
const cursorPos = input.selectionStart;
|
||
const value = input.value;
|
||
|
||
// Prevent deletion of .json extension
|
||
if ((event.key === 'Backspace' || event.key === 'Delete') &&
|
||
cursorPos > value.length - 5) {
|
||
event.preventDefault();
|
||
return false;
|
||
}
|
||
|
||
// Position cursor before .json on certain keys
|
||
if (event.key === 'End' || event.key === 'ArrowRight') {
|
||
const nameLength = value.length - 5;
|
||
if (cursorPos >= nameLength) {
|
||
event.preventDefault();
|
||
input.setSelectionRange(nameLength, nameLength);
|
||
return false;
|
||
}
|
||
}
|
||
}
|
||
|
||
// Utility functions
|
||
function showAlert(message, type = 'info') {
|
||
console.log(`${type === 'error' ? '❌' : type === 'warning' ? '⚠️' : type === 'success' ? '✅' : 'ℹ️'} ${message}`);
|
||
|
||
// Create visual alert
|
||
const alert = document.createElement('div');
|
||
alert.style.cssText = `
|
||
position: fixed;
|
||
top: 20px;
|
||
right: 20px;
|
||
padding: 12px 20px;
|
||
border-radius: 8px;
|
||
color: white;
|
||
font-family: 'Segoe UI', Arial, sans-serif;
|
||
font-size: 14px;
|
||
font-weight: 500;
|
||
z-index: 10000;
|
||
box-shadow: 0 4px 12px rgba(0,0,0,0.3);
|
||
animation: slideIn 0.3s ease-out;
|
||
max-width: 300px;
|
||
${type === 'error' ? 'background: linear-gradient(135deg, #ff4757, #ff3742);' :
|
||
type === 'warning' ? 'background: linear-gradient(135deg, #ffa502, #ff6348);' :
|
||
type === 'success' ? 'background: linear-gradient(135deg, #26de81, #20bf6b);' :
|
||
'background: linear-gradient(135deg, #3742fa, #2f3542);'}
|
||
`;
|
||
alert.textContent = message;
|
||
|
||
// Add animation styles
|
||
if (!document.getElementById('alert-styles')) {
|
||
const style = document.createElement('style');
|
||
style.id = 'alert-styles';
|
||
style.textContent = `
|
||
@keyframes slideIn {
|
||
from { transform: translateX(100%); opacity: 0; }
|
||
to { transform: translateX(0); opacity: 1; }
|
||
}
|
||
@keyframes slideOut {
|
||
from { transform: translateX(0); opacity: 1; }
|
||
to { transform: translateX(100%); opacity: 0; }
|
||
}
|
||
`;
|
||
document.head.appendChild(style);
|
||
}
|
||
|
||
document.body.appendChild(alert);
|
||
|
||
// Auto remove after 3 seconds
|
||
setTimeout(() => {
|
||
alert.style.animation = 'slideOut 0.3s ease-in';
|
||
setTimeout(() => {
|
||
if (alert.parentNode) {
|
||
alert.parentNode.removeChild(alert);
|
||
}
|
||
}, 300);
|
||
}, 3000);
|
||
}
|
||
|
||
// UI Creation and Management
|
||
async function createUI() {
|
||
console.log('🎨 Creating Art Extractor UI...');
|
||
|
||
try {
|
||
// Remove existing UI
|
||
const existing = document.getElementById('art-extractor-ui');
|
||
if (existing) {
|
||
console.log('🗑️ Removing existing UI');
|
||
existing.remove();
|
||
}
|
||
|
||
// Check if document body exists
|
||
if (!document.body) {
|
||
throw new Error('Document body not available');
|
||
}
|
||
|
||
console.log('🔨 Building UI container...');
|
||
|
||
// Create main container
|
||
const container = document.createElement('div');
|
||
container.id = 'art-extractor-ui';
|
||
container.className = 'wplace-theme-neon-cyan';
|
||
container.style.cssText = `
|
||
position: fixed;
|
||
top: 20px;
|
||
left: 20px;
|
||
width: 320px;
|
||
background: #1959A1;
|
||
border: 2px solid #81DCF7;
|
||
border-radius: 0;
|
||
padding: 20px;
|
||
font-family: 'Press Start 2P', monospace;
|
||
color: #81DCF7;
|
||
z-index: 9999;
|
||
box-shadow: 0 0 30px rgba(129, 220, 247, 0.6), inset 0 0 30px rgba(234, 156, 0, 0.1);
|
||
user-select: none;
|
||
`;
|
||
|
||
container.innerHTML = `
|
||
<!-- Scanline effect -->
|
||
<div style="
|
||
position: absolute;
|
||
top: 0;
|
||
left: 0;
|
||
right: 0;
|
||
height: 2px;
|
||
background: linear-gradient(90deg, transparent, #81DCF7, transparent);
|
||
z-index: 1;
|
||
pointer-events: none;
|
||
animation: scanline 3s linear infinite;
|
||
opacity: 0.7;
|
||
"></div>
|
||
|
||
<!-- Header -->
|
||
<div style="
|
||
display: flex;
|
||
justify-content: space-between;
|
||
align-items: center;
|
||
margin-bottom: 20px;
|
||
border-bottom: 2px solid #81DCF7;
|
||
padding-bottom: 10px;
|
||
">
|
||
<h2 style="margin: 0; color: #81DCF7; font-size: 12px; font-family: 'Press Start 2P', monospace; text-shadow: 0 0 10px #81DCF7; text-transform: uppercase;">🎨 ART EXTRACTOR</h2>
|
||
<button id="art-extractor-close" style="
|
||
background: #1959A1;
|
||
border: 2px solid #81DCF7;
|
||
border-radius: 0;
|
||
color: #81DCF7;
|
||
width: 24px;
|
||
height: 24px;
|
||
cursor: pointer;
|
||
font-family: 'Press Start 2P', monospace;
|
||
text-shadow: 0 0 5px #81DCF7;
|
||
font-size: 12px;
|
||
">×</button>
|
||
</div>
|
||
|
||
<!-- Status -->
|
||
<div style="
|
||
background: rgba(234, 156, 0, 0.1);
|
||
border: 2px solid #81DCF7;
|
||
border-radius: 0;
|
||
padding: 12px;
|
||
margin-bottom: 15px;
|
||
box-shadow: 0 0 20px rgba(129, 220, 247, 0.3);
|
||
">
|
||
<div style="font-size: 9px; color: #81DCF7; font-family: 'Press Start 2P', monospace; text-shadow: 0 0 5px #81DCF7; text-transform: uppercase;">Status: <span id="current-status">CAPTURING</span></div>
|
||
<div style="font-size: 9px; color: #81DCF7; font-family: 'Press Start 2P', monospace; text-shadow: 0 0 5px #81DCF7; text-transform: uppercase;">Area: <span id="area-info">NONE</span></div>
|
||
<div style="font-size: 9px; color: #81DCF7; font-family: 'Press Start 2P', monospace; text-shadow: 0 0 5px #81DCF7; text-transform: uppercase;">Pixels: <span id="pixel-count">0</span></div>
|
||
</div>
|
||
|
||
<!-- Control Buttons -->
|
||
<div style="margin: 10px 0; display: flex; gap: 8px;">
|
||
<button id="start-selecting" style="
|
||
flex: 1;
|
||
background: #3C74AF;
|
||
border: 2px solid #81DCF7;
|
||
border-radius: 0;
|
||
color: #81DCF7;
|
||
font-family: 'Press Start 2P', monospace;
|
||
font-size: 8px;
|
||
text-transform: uppercase;
|
||
padding: 8px;
|
||
cursor: pointer;
|
||
position: relative;
|
||
overflow: hidden;
|
||
transition: all 0.2s ease;
|
||
text-shadow: 0 0 3px #81DCF7;
|
||
box-shadow:
|
||
0 0 5px rgba(129, 220, 247, 0.3),
|
||
inset 0 0 5px rgba(129, 220, 247, 0.1);
|
||
">🎯 START SELECTING</button>
|
||
|
||
<button id="clear-selection" style="
|
||
flex: 1;
|
||
background: #3C74AF;
|
||
border: 2px solid #FF6B6B;
|
||
border-radius: 0;
|
||
color: #FF6B6B;
|
||
font-family: 'Press Start 2P', monospace;
|
||
font-size: 8px;
|
||
text-transform: uppercase;
|
||
padding: 8px;
|
||
cursor: pointer;
|
||
position: relative;
|
||
overflow: hidden;
|
||
transition: all 0.2s ease;
|
||
text-shadow: 0 0 3px #FF6B6B;
|
||
box-shadow:
|
||
0 0 5px rgba(255, 107, 107, 0.3),
|
||
inset 0 0 5px rgba(255, 107, 107, 0.1);
|
||
">🧹 CLEAR SELECTION</button>
|
||
</div>
|
||
|
||
<!-- Export Section -->
|
||
<div style="margin-bottom: 15px;">
|
||
<!-- Filename Input -->
|
||
<div style="margin-bottom: 10px;">
|
||
<label style="display: block; margin-bottom: 4px; font-size: 9px; color: #81DCF7; font-family: 'Press Start 2P', monospace; text-transform: uppercase; text-shadow: 0 0 5px #81DCF7;">Filename:</label>
|
||
<input id="filename-input" type="text" value=".json" style="
|
||
width: 100%;
|
||
background: #3C74AF;
|
||
border: 2px solid #81DCF7;
|
||
border-radius: 0;
|
||
color: #81DCF7;
|
||
padding: 8px;
|
||
font-size: 10px;
|
||
box-sizing: border-box;
|
||
font-family: 'Press Start 2P', monospace;
|
||
text-shadow: 0 0 5px #81DCF7;
|
||
" placeholder="ENTER FILENAME">
|
||
</div>
|
||
|
||
<!-- Export Buttons -->
|
||
<button id="export-autofix" style="
|
||
width: 100%;
|
||
background: #3C74AF;
|
||
border: 2px solid #39ff14;
|
||
border-radius: 0;
|
||
color: #39ff14;
|
||
padding: 10px;
|
||
cursor: pointer;
|
||
font-family: 'Press Start 2P', monospace;
|
||
font-size: 8px;
|
||
text-transform: uppercase;
|
||
text-shadow: 0 0 8px #39ff14;
|
||
margin-bottom: 8px;
|
||
box-shadow: 0 0 15px rgba(57, 255, 20, 0.3);
|
||
" disabled>🔧 SAVE FOR AUTO-FIX</button>
|
||
|
||
<button id="export-autoimage" style="
|
||
width: 100%;
|
||
background: #3C74AF;
|
||
border: 2px solid #EA9C00;
|
||
border-radius: 0;
|
||
color: #EA9C00;
|
||
padding: 10px;
|
||
cursor: pointer;
|
||
font-family: 'Press Start 2P', monospace;
|
||
font-size: 8px;
|
||
text-transform: uppercase;
|
||
text-shadow: 0 0 8px #EA9C00;
|
||
box-shadow: 0 0 15px rgba(234, 156, 0, 0.3);
|
||
" disabled>🎨 SAVE FOR AUTO-IMAGE</button>
|
||
</div>
|
||
|
||
<!-- Simple instruction -->
|
||
<div style="
|
||
background: rgba(234, 156, 0, 0.05);
|
||
border: 1px solid rgba(129, 220, 247, 0.3);
|
||
border-radius: 0;
|
||
padding: 8px;
|
||
font-size: 8px;
|
||
color: #81DCF7;
|
||
line-height: 1.3;
|
||
font-family: 'Press Start 2P', monospace;
|
||
text-shadow: 0 0 5px #81DCF7;
|
||
text-transform: uppercase;
|
||
text-align: center;
|
||
">
|
||
PAINT UPPER-LEFT & LOWER-RIGHT PIXELS
|
||
</div>
|
||
|
||
<!-- Scanline animation styles -->
|
||
<style>
|
||
@keyframes scanline {
|
||
0% { transform: translateY(-100%); }
|
||
100% { transform: translateY(320px); }
|
||
}
|
||
|
||
.wplace-theme-neon-cyan button:hover:not(:disabled) {
|
||
box-shadow: 0 0 25px currentColor !important;
|
||
animation: pixel-blink 0.5s infinite !important;
|
||
}
|
||
|
||
@keyframes pixel-blink {
|
||
0%, 50% { opacity: 1; }
|
||
51%, 100% { opacity: 0.7; }
|
||
}
|
||
</style>
|
||
</div>
|
||
`;
|
||
|
||
// Add event listeners
|
||
container.querySelector('#art-extractor-close').addEventListener('click', closeArtExtractor);
|
||
// Add event listeners
|
||
container.querySelector('#art-extractor-close').addEventListener('click', closeArtExtractor);
|
||
container.querySelector('#export-autofix').addEventListener('click', () => exportToJSON('autofix'));
|
||
container.querySelector('#export-autoimage').addEventListener('click', () => exportToJSON('autoimage'));
|
||
container.querySelector('#start-selecting').addEventListener('click', startPixelCapture);
|
||
container.querySelector('#clear-selection').addEventListener('click', clearSelection);
|
||
|
||
// Set up filename input with .json enforcement
|
||
const filenameInput = container.querySelector('#filename-input');
|
||
if (filenameInput) {
|
||
// Initialize with default value
|
||
filenameInput.value = '.json';
|
||
|
||
// Add event listeners for .json enforcement
|
||
filenameInput.addEventListener('input', handleFilenameInput);
|
||
filenameInput.addEventListener('keydown', preventJsonDeletion);
|
||
filenameInput.addEventListener('focus', function() {
|
||
// Position cursor before .json on focus
|
||
const nameLength = this.value.length - 5;
|
||
if (nameLength >= 0) {
|
||
this.setSelectionRange(nameLength, nameLength);
|
||
}
|
||
});
|
||
|
||
// Set initial cursor position
|
||
setTimeout(() => {
|
||
filenameInput.setSelectionRange(0, 0);
|
||
}, 100);
|
||
}
|
||
|
||
// Add to page
|
||
document.body.appendChild(container);
|
||
state.ui = container;
|
||
|
||
console.log('✅ Art Extractor UI created');
|
||
|
||
// Auto-start pixel capture immediately
|
||
console.log('🎯 Auto-starting pixel capture...');
|
||
setTimeout(() => {
|
||
startPixelCapture();
|
||
}, 500);
|
||
updateUI();
|
||
|
||
} catch (error) {
|
||
console.error('❌ Failed to create UI:', error);
|
||
throw error;
|
||
}
|
||
}
|
||
|
||
// UI update function
|
||
function updateUI() {
|
||
if (!state.ui) return;
|
||
|
||
const statusElement = state.ui.querySelector('#current-status');
|
||
const areaElement = state.ui.querySelector('#area-info');
|
||
const pixelElement = state.ui.querySelector('#pixel-count');
|
||
const exportAutofixBtn = state.ui.querySelector('#export-autofix');
|
||
const exportAutoimageBtn = state.ui.querySelector('#export-autoimage');
|
||
|
||
// Update status with Neon Cyan styling
|
||
if (state.isCapturing) {
|
||
statusElement.textContent = `CAPTURING (${state.capturedPixels.length}/${state.requiredPixels})`;
|
||
statusElement.style.color = '#EA9C00';
|
||
statusElement.style.textShadow = '0 0 8px #EA9C00';
|
||
} else if (state.isScanning) {
|
||
statusElement.textContent = 'SCANNING...';
|
||
statusElement.style.color = '#39ff14';
|
||
statusElement.style.textShadow = '0 0 8px #39ff14';
|
||
} else if (state.selectionArea) {
|
||
statusElement.textContent = 'READY TO EXPORT';
|
||
statusElement.style.color = '#39ff14';
|
||
statusElement.style.textShadow = '0 0 8px #39ff14';
|
||
} else {
|
||
statusElement.textContent = 'READY';
|
||
statusElement.style.color = '#81DCF7';
|
||
statusElement.style.textShadow = '0 0 5px #81DCF7';
|
||
}
|
||
|
||
// Update area info with uppercase styling
|
||
if (state.selectionArea) {
|
||
areaElement.textContent = `${state.selectionArea.width}×${state.selectionArea.height} PX`;
|
||
} else if (state.capturedPixels.length > 0) {
|
||
areaElement.textContent = `${state.capturedPixels.length}/${state.requiredPixels} CAPTURED`;
|
||
} else {
|
||
areaElement.textContent = 'NONE';
|
||
}
|
||
|
||
// Update pixel count with progress info
|
||
if (state.isScanning && state.totalPixels > 0) {
|
||
const progress = Math.round((state.scannedPixels.length / state.totalPixels) * 100);
|
||
pixelElement.textContent = `${state.scannedPixels.length}/${state.totalPixels} (${progress}%)`;
|
||
} else {
|
||
pixelElement.textContent = state.scannedPixels.length.toString();
|
||
}
|
||
|
||
// Update export button states
|
||
const hasScannedData = state.scannedPixels && state.scannedPixels.length > 0;
|
||
|
||
if (exportAutofixBtn) {
|
||
exportAutofixBtn.disabled = !hasScannedData;
|
||
if (!exportAutofixBtn.disabled) {
|
||
exportAutofixBtn.style.opacity = '1';
|
||
exportAutofixBtn.style.cursor = 'pointer';
|
||
} else {
|
||
exportAutofixBtn.style.opacity = '0.5';
|
||
exportAutofixBtn.style.cursor = 'not-allowed';
|
||
}
|
||
}
|
||
|
||
if (exportAutoimageBtn) {
|
||
exportAutoimageBtn.disabled = !hasScannedData;
|
||
if (!exportAutoimageBtn.disabled) {
|
||
exportAutoimageBtn.style.opacity = '1';
|
||
exportAutoimageBtn.style.cursor = 'pointer';
|
||
} else {
|
||
exportAutoimageBtn.style.opacity = '0.5';
|
||
exportAutoimageBtn.style.cursor = 'not-allowed';
|
||
}
|
||
}
|
||
}
|
||
|
||
// Control functions
|
||
function startPixelCapture() {
|
||
console.log('🎯 Starting pixel capture mode...');
|
||
|
||
state.isCapturing = true;
|
||
state.capturedPixels = [];
|
||
state.selectionArea = null;
|
||
state.scannedPixels = [];
|
||
|
||
// Clear any existing overlay
|
||
if (state.overlayManager) {
|
||
state.overlayManager.disable();
|
||
}
|
||
|
||
// Set up pixel paint monitoring with fetch interception
|
||
const setupSuccess = setupPixelCapture();
|
||
|
||
if (setupSuccess) {
|
||
updateUI();
|
||
showAlert('🎯 Paint a pixel at the UPPER-LEFT corner of the area you want to extract', 'info');
|
||
|
||
// Set timeout for capture process
|
||
setTimeout(() => {
|
||
if (state.isCapturing && state.capturedPixels.length === 0) {
|
||
showAlert('⏰ No pixels captured yet. Try painting a pixel or use "Enter Coordinates Manually"', 'warning');
|
||
}
|
||
}, 15000);
|
||
} else {
|
||
showAlert('⚠️ Could not set up automatic capture. Use "Enter Coordinates Manually"', 'warning');
|
||
updateUI();
|
||
}
|
||
}
|
||
|
||
function clearSelection() {
|
||
console.log('🧹 Clearing pixel capture...');
|
||
|
||
state.isCapturing = false;
|
||
state.capturedPixels = [];
|
||
state.selectionArea = null;
|
||
state.scannedPixels = [];
|
||
|
||
// Restore original fetch function
|
||
restoreFetch();
|
||
|
||
// Disable overlay
|
||
if (state.overlayManager) {
|
||
state.overlayManager.disable();
|
||
}
|
||
|
||
updateUI();
|
||
showAlert('Pixel capture cleared', 'info');
|
||
}
|
||
|
||
function closeArtExtractor() {
|
||
console.log('👋 Closing Art Extractor...');
|
||
|
||
// Stop capturing
|
||
state.isCapturing = false;
|
||
|
||
// Restore original fetch function
|
||
restoreFetch();
|
||
|
||
// Clean up overlay
|
||
if (state.overlayManager) {
|
||
state.overlayManager.disable();
|
||
}
|
||
|
||
// Remove UI
|
||
if (state.ui) {
|
||
state.ui.remove();
|
||
}
|
||
|
||
// Reset state
|
||
Object.assign(state, {
|
||
isCapturing: false,
|
||
capturedPixels: [],
|
||
selectionArea: null,
|
||
ui: null,
|
||
overlayManager: null,
|
||
isScanning: false,
|
||
scannedPixels: [],
|
||
paintEventListener: null,
|
||
lastPaintEvent: null
|
||
});
|
||
|
||
console.log('✅ Art Extractor closed');
|
||
}
|
||
|
||
// Main initialization
|
||
async function initialize() {
|
||
console.log('🚀 Initializing Art Extractor...');
|
||
|
||
try {
|
||
// Create UI immediately - don't wait for dependencies
|
||
console.log('🎨 Creating UI first...');
|
||
await createUI();
|
||
|
||
// Then try to set up dependencies in background
|
||
setTimeout(async () => {
|
||
try {
|
||
// Wait for Auto-Image overlay manager with timeout
|
||
if (!window.autoImageOverlayManager) {
|
||
console.log('⏳ Waiting for Auto-Image overlay manager...');
|
||
await new Promise((resolve, reject) => {
|
||
let attempts = 0;
|
||
const maxAttempts = 50; // 5 seconds timeout
|
||
const check = () => {
|
||
attempts++;
|
||
if (window.autoImageOverlayManager) {
|
||
console.log('✅ Auto-Image overlay manager found');
|
||
resolve();
|
||
} else if (attempts >= maxAttempts) {
|
||
console.warn('⚠️ Auto-Image overlay manager not found, proceeding without it');
|
||
resolve(); // Continue anyway
|
||
} else {
|
||
setTimeout(check, 100);
|
||
}
|
||
};
|
||
check();
|
||
});
|
||
}
|
||
|
||
// Set up pixel capture monitoring
|
||
try {
|
||
const captureReady = setupPixelCapture();
|
||
if (captureReady) {
|
||
console.log('✅ Pixel capture monitoring ready');
|
||
} else {
|
||
console.warn('⚠️ Pixel capture monitoring setup failed');
|
||
}
|
||
} catch (error) {
|
||
console.warn('⚠️ Pixel capture error:', error);
|
||
}
|
||
|
||
} catch (error) {
|
||
console.warn('⚠️ Background initialization error:', error);
|
||
}
|
||
}, 1000);
|
||
|
||
console.log('✅ Art Extractor initialized successfully');
|
||
showAlert('Art Extractor ready! UI loaded - dependencies loading in background.', 'success');
|
||
|
||
} catch (error) {
|
||
console.error('❌ Failed to initialize Art Extractor:', error);
|
||
|
||
// Try to create UI anyway as fallback
|
||
try {
|
||
await createUI();
|
||
showAlert(`Art Extractor loaded with limited functionality: ${error.message}`, 'warning');
|
||
} catch (uiError) {
|
||
console.error('❌ Failed to create UI:', uiError);
|
||
showAlert(`Critical initialization failure: ${error.message}`, 'error');
|
||
}
|
||
}
|
||
}
|
||
|
||
// Start initialization with additional error handling
|
||
try {
|
||
await initialize();
|
||
} catch (error) {
|
||
console.error('❌ Critical error during Art Extractor initialization:', error);
|
||
|
||
// Final fallback - try to show minimal UI
|
||
try {
|
||
const container = document.createElement('div');
|
||
container.innerHTML = `
|
||
<div style="position: fixed; top: 20px; left: 20px; background: red; color: white; padding: 10px; border-radius: 5px; z-index: 10000;">
|
||
❌ Art Extractor failed to load: ${error.message}
|
||
<button onclick="this.parentElement.remove()" style="margin-left: 10px;">✕</button>
|
||
</div>
|
||
`;
|
||
document.body.appendChild(container);
|
||
} catch (e) {
|
||
console.error('❌ Even fallback UI failed:', e);
|
||
}
|
||
}
|
||
|
||
// Expose globally for extension integration
|
||
window.WPlaceArtExtractor = {
|
||
state,
|
||
initialize,
|
||
closeArtExtractor,
|
||
exportToJSON,
|
||
scanSelectedArea
|
||
};
|
||
|
||
console.log('🎨 WPlace Art Extractor loaded successfully!');
|
||
})(); |