feat: Add back button to return to index.html in both modes
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d.viti
@@ -104,19 +104,28 @@
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>
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<div class="container mx-auto p-4 max-w-7xl">
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<!-- Header -->
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<div
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class="glass rounded-2xl p-8 mb-6 animate-slide-in text-center"
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>
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<h1
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class="text-4xl font-bold text-gray-800 flex items-center justify-center gap-3"
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>
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<i class="fas fa-code text-blue-600"></i>
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Calcolatore Prezzi Software Pro
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</h1>
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<p class="text-gray-600 mt-2">
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Sistema professionale per preventivi sviluppo software in
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Italia
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</p>
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<div class="glass rounded-2xl p-8 mb-6 animate-slide-in">
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<div class="flex items-center justify-between mb-4">
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<a
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href="index.html"
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class="bg-gradient-to-r from-gray-500 to-gray-600 text-white font-semibold py-2 px-4 rounded-lg hover:from-gray-600 hover:to-gray-700 transition-all flex items-center gap-2 shadow-lg"
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>
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<i class="fas fa-arrow-left"></i>
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<span>Torna al Menu</span>
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</a>
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</div>
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<div class="text-center">
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<h1
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class="text-4xl font-bold text-gray-800 flex items-center justify-center gap-3"
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>
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<i class="fas fa-code text-blue-600"></i>
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Calcolatore Prezzi Software Pro
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</h1>
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<p class="text-gray-600 mt-2">
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Sistema professionale per preventivi sviluppo software
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in Italia
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</p>
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</div>
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</div>
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<!-- Notifiche Toast -->
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382
shop-mode.html
382
shop-mode.html
@@ -82,18 +82,27 @@
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>
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<div class="container mx-auto p-4 max-w-7xl">
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<!-- Header -->
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<div
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class="glass rounded-2xl p-8 mb-6 animate-slide-in text-center"
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>
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<h1
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class="text-4xl font-bold text-gray-800 flex items-center justify-center gap-3"
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>
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<i class="fas fa-store text-emerald-600"></i>
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Calcolatore Prezzi - Modalità Negozio
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</h1>
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<p class="text-gray-600 mt-2">
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Sistema di preventivi basato su articoli e quantità
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</p>
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<div class="glass rounded-2xl p-8 mb-6 animate-slide-in">
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<div class="flex items-center justify-between mb-4">
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<a
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href="index.html"
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class="bg-gradient-to-r from-gray-500 to-gray-600 text-white font-semibold py-2 px-4 rounded-lg hover:from-gray-600 hover:to-gray-700 transition-all flex items-center gap-2 shadow-lg"
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>
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<i class="fas fa-arrow-left"></i>
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<span>Torna al Menu</span>
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</a>
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</div>
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<div class="text-center">
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<h1
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class="text-4xl font-bold text-gray-800 flex items-center justify-center gap-3"
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>
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<i class="fas fa-store text-emerald-600"></i>
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Calcolatore Prezzi - Modalità Negozio
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</h1>
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<p class="text-gray-600 mt-2">
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Sistema di preventivi basato su articoli e quantità
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</p>
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</div>
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</div>
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<!-- Notifiche Toast -->
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@@ -170,17 +179,32 @@
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</div>
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<div x-show="logoColor" class="mt-3">
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<div class="flex items-center gap-2 mb-2">
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<span class="text-xs font-semibold text-gray-700">Colore Brand (media palette):</span>
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<div :style="'background-color: ' + logoColor" class="w-10 h-10 rounded-lg border-2 border-gray-300 shadow-sm"></div>
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<span class="text-xs font-mono font-bold" x-text="logoColor"></span>
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<span class="text-xs font-semibold text-gray-700"
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>Colore Brand (media palette):</span
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>
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<div
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:style="'background-color: ' + logoColor"
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class="w-10 h-10 rounded-lg border-2 border-gray-300 shadow-sm"
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></div>
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<span
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class="text-xs font-mono font-bold"
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x-text="logoColor"
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></span>
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</div>
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<div x-show="colorPalette.length > 0" class="mt-2">
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<span class="text-xs text-gray-600">Palette estratta:</span>
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<span class="text-xs text-gray-600"
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>Palette estratta:</span
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>
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<div class="flex gap-1 mt-1 flex-wrap">
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<template x-for="color in colorPalette" :key="color">
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<div :style="'background-color: ' + color"
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:title="color"
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class="w-8 h-8 rounded border border-gray-300 shadow-sm cursor-pointer hover:scale-110 transition-transform"></div>
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<template
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x-for="color in colorPalette"
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:key="color"
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>
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<div
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:style="'background-color: ' + color"
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:title="color"
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class="w-8 h-8 rounded border border-gray-300 shadow-sm cursor-pointer hover:scale-110 transition-transform"
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></div>
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</template>
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</div>
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</div>
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@@ -727,153 +751,227 @@
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reader.readAsDataURL(file);
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},
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extractDominantColor(imageData) {
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const img = new Image();
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img.onload = () => {
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const canvas = document.createElement("canvas");
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const ctx = canvas.getContext("2d");
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canvas.width = img.width;
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canvas.height = img.height;
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ctx.drawImage(img, 0, 0);
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extractDominantColor(imageData) {
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const img = new Image();
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img.onload = () => {
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const canvas = document.createElement("canvas");
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const ctx = canvas.getContext("2d");
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canvas.width = img.width;
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canvas.height = img.height;
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ctx.drawImage(img, 0, 0);
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try {
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const imgData = ctx.getImageData(
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0,
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0,
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canvas.width,
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canvas.height,
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);
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const data = imgData.data;
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try {
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const imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);
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const data = imgData.data;
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// Step 1: Collect all valid colors
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const colors = [];
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for (let i = 0; i < data.length; i += 16) {
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const r = data[i];
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const g = data[i + 1];
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const b = data[i + 2];
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const a = data[i + 3];
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// Step 1: Collect all valid colors
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const colors = [];
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for (let i = 0; i < data.length; i += 16) {
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const r = data[i];
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const g = data[i + 1];
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const b = data[i + 2];
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const a = data[i + 3];
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// Skip transparent
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if (a < 125) continue;
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// Skip transparent
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if (a < 125) continue;
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// Skip whites (> 235)
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if (r > 235 && g > 235 && b > 235) continue;
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// Skip whites (> 235)
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if (r > 235 && g > 235 && b > 235) continue;
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// Skip blacks (< 20)
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if (r < 20 && g < 20 && b < 20) continue;
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// Skip blacks (< 20)
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if (r < 20 && g < 20 && b < 20) continue;
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// Calculate saturation to skip grays
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const max = Math.max(r, g, b);
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const min = Math.min(r, g, b);
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const saturation =
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max === 0 ? 0 : (max - min) / max;
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if (saturation < 0.2) continue; // Skip grays
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// Calculate saturation to skip grays
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const max = Math.max(r, g, b);
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const min = Math.min(r, g, b);
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const saturation = max === 0 ? 0 : (max - min) / max;
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if (saturation < 0.2) continue; // Skip grays
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colors.push({ r, g, b });
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}
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colors.push({ r, g, b });
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}
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if (colors.length === 0) {
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this.logoColor = "#10b981";
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this.colorPalette = [];
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console.log(
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"No valid colors found, using fallback",
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);
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return;
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}
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if (colors.length === 0) {
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this.logoColor = "#10b981";
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this.colorPalette = [];
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console.log("No valid colors found, using fallback");
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return;
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}
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// Step 2: K-means clustering to extract palette (5-7 colors)
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const numClusters = Math.min(
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6,
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Math.max(3, Math.floor(colors.length / 50)),
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);
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const palette = this.kMeansClustering(
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colors,
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numClusters,
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);
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// Step 2: K-means clustering to extract palette (5-7 colors)
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const numClusters = Math.min(6, Math.max(3, Math.floor(colors.length / 50)));
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const palette = this.kMeansClustering(colors, numClusters);
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// Step 3: Filter palette colors by lightness
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const filteredPalette = palette.filter(
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(color) => {
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const max = Math.max(
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color.r,
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color.g,
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color.b,
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);
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const min = Math.min(
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color.r,
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color.g,
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color.b,
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);
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const l = (max + min) / 2 / 255;
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return l > 0.25 && l < 0.8; // Keep mid-range lightness
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},
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);
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// Step 3: Filter palette colors by lightness
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const filteredPalette = palette.filter(color => {
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const max = Math.max(color.r, color.g, color.b);
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const min = Math.min(color.r, color.g, color.b);
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const l = (max + min) / 2 / 255;
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return l > 0.25 && l < 0.80; // Keep mid-range lightness
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});
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if (filteredPalette.length === 0) {
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this.logoColor = "#10b981";
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this.colorPalette = [];
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console.log(
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"No suitable colors in palette, using fallback",
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);
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return;
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}
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if (filteredPalette.length === 0) {
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this.logoColor = "#10b981";
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this.colorPalette = [];
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console.log("No suitable colors in palette, using fallback");
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return;
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}
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// Step 4: Calculate average color from palette
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const avgR = Math.round(
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filteredPalette.reduce(
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(sum, c) => sum + c.r,
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0,
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) / filteredPalette.length,
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);
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const avgG = Math.round(
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filteredPalette.reduce(
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(sum, c) => sum + c.g,
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0,
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) / filteredPalette.length,
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);
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const avgB = Math.round(
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filteredPalette.reduce(
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(sum, c) => sum + c.b,
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0,
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) / filteredPalette.length,
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);
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// Step 4: Calculate average color from palette
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const avgR = Math.round(filteredPalette.reduce((sum, c) => sum + c.r, 0) / filteredPalette.length);
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const avgG = Math.round(filteredPalette.reduce((sum, c) => sum + c.g, 0) / filteredPalette.length);
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const avgB = Math.round(filteredPalette.reduce((sum, c) => sum + c.b, 0) / filteredPalette.length);
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// Store results
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this.logoColor = this.rgbToHex(
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avgR,
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avgG,
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avgB,
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);
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this.colorPalette = filteredPalette.map((c) =>
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this.rgbToHex(c.r, c.g, c.b),
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);
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// Store results
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this.logoColor = this.rgbToHex(avgR, avgG, avgB);
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this.colorPalette = filteredPalette.map(c => this.rgbToHex(c.r, c.g, c.b));
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console.log(
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"Extracted palette:",
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this.colorPalette,
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);
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console.log(
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"Average brand color:",
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this.logoColor,
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);
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} catch (err) {
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console.error("Error extracting color:", err);
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this.logoColor = "#10b981";
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this.colorPalette = [];
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}
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};
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img.src = imageData;
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},
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console.log("Extracted palette:", this.colorPalette);
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console.log("Average brand color:", this.logoColor);
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} catch (err) {
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console.error("Error extracting color:", err);
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this.logoColor = "#10b981";
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this.colorPalette = [];
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}
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};
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img.src = imageData;
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},
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kMeansClustering(colors, k) {
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// Initialize centroids randomly
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let centroids = [];
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const shuffled = [...colors].sort(
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() => Math.random() - 0.5,
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);
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for (let i = 0; i < k; i++) {
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centroids.push({
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...shuffled[i % shuffled.length],
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});
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}
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kMeansClustering(colors, k) {
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// Initialize centroids randomly
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let centroids = [];
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const shuffled = [...colors].sort(() => Math.random() - 0.5);
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for (let i = 0; i < k; i++) {
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centroids.push({ ...shuffled[i % shuffled.length] });
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}
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// K-means iterations
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for (let iter = 0; iter < 10; iter++) {
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// Assign colors to nearest centroid
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const clusters = Array(k)
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.fill(null)
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.map(() => []);
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// K-means iterations
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for (let iter = 0; iter < 10; iter++) {
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// Assign colors to nearest centroid
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const clusters = Array(k).fill(null).map(() => []);
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colors.forEach((color) => {
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let minDist = Infinity;
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let closestIdx = 0;
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colors.forEach(color => {
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let minDist = Infinity;
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let closestIdx = 0;
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centroids.forEach((centroid, idx) => {
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const dist = Math.sqrt(
|
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Math.pow(color.r - centroid.r, 2) +
|
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Math.pow(color.g - centroid.g, 2) +
|
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Math.pow(color.b - centroid.b, 2),
|
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);
|
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if (dist < minDist) {
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minDist = dist;
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closestIdx = idx;
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}
|
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});
|
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centroids.forEach((centroid, idx) => {
|
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const dist = Math.sqrt(
|
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Math.pow(color.r - centroid.r, 2) +
|
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Math.pow(color.g - centroid.g, 2) +
|
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Math.pow(color.b - centroid.b, 2)
|
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);
|
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if (dist < minDist) {
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minDist = dist;
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closestIdx = idx;
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}
|
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});
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clusters[closestIdx].push(color);
|
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});
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clusters[closestIdx].push(color);
|
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});
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// Update centroids
|
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const newCentroids = clusters.map((cluster) => {
|
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if (cluster.length === 0) return centroids[0]; // Fallback
|
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|
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// Update centroids
|
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const newCentroids = clusters.map(cluster => {
|
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if (cluster.length === 0) return centroids[0]; // Fallback
|
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const avgR = Math.round(
|
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cluster.reduce((sum, c) => sum + c.r, 0) /
|
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cluster.length,
|
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);
|
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const avgG = Math.round(
|
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cluster.reduce((sum, c) => sum + c.g, 0) /
|
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cluster.length,
|
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);
|
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const avgB = Math.round(
|
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cluster.reduce((sum, c) => sum + c.b, 0) /
|
||||
cluster.length,
|
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);
|
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|
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const avgR = Math.round(cluster.reduce((sum, c) => sum + c.r, 0) / cluster.length);
|
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const avgG = Math.round(cluster.reduce((sum, c) => sum + c.g, 0) / cluster.length);
|
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const avgB = Math.round(cluster.reduce((sum, c) => sum + c.b, 0) / cluster.length);
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return { r: avgR, g: avgG, b: avgB };
|
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});
|
||||
|
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return { r: avgR, g: avgG, b: avgB };
|
||||
});
|
||||
// Check convergence
|
||||
const converged = centroids.every(
|
||||
(c, i) =>
|
||||
c.r === newCentroids[i].r &&
|
||||
c.g === newCentroids[i].g &&
|
||||
c.b === newCentroids[i].b,
|
||||
);
|
||||
|
||||
// Check convergence
|
||||
const converged = centroids.every((c, i) =>
|
||||
c.r === newCentroids[i].r &&
|
||||
c.g === newCentroids[i].g &&
|
||||
c.b === newCentroids[i].b
|
||||
);
|
||||
centroids = newCentroids;
|
||||
if (converged) break;
|
||||
}
|
||||
|
||||
centroids = newCentroids;
|
||||
if (converged) break;
|
||||
}
|
||||
|
||||
// Sort by saturation (most saturated first)
|
||||
return centroids.sort((a, b) => {
|
||||
const satA = (Math.max(a.r, a.g, a.b) - Math.min(a.r, a.g, a.b)) / Math.max(a.r, a.g, a.b);
|
||||
const satB = (Math.max(b.r, b.g, b.b) - Math.min(b.r, b.g, b.b)) / Math.max(b.r, b.g, b.b);
|
||||
return satB - satA;
|
||||
});
|
||||
},
|
||||
// Sort by saturation (most saturated first)
|
||||
return centroids.sort((a, b) => {
|
||||
const satA =
|
||||
(Math.max(a.r, a.g, a.b) -
|
||||
Math.min(a.r, a.g, a.b)) /
|
||||
Math.max(a.r, a.g, a.b);
|
||||
const satB =
|
||||
(Math.max(b.r, b.g, b.b) -
|
||||
Math.min(b.r, b.g, b.b)) /
|
||||
Math.max(b.r, b.g, b.b);
|
||||
return satB - satA;
|
||||
});
|
||||
},
|
||||
|
||||
rgbToHex(r, g, b) {
|
||||
return (
|
||||
|
||||
Reference in New Issue
Block a user