Grzegorz Kucmierz
2cd32d4a3e
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853 lines
22 KiB
Vue
853 lines
22 KiB
Vue
<script setup>
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import { ref, computed, onMounted, onUnmounted, watch, nextTick } from 'vue';
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import { usePuzzleStore } from '@/stores/puzzle';
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import { useI18n } from '@/composables/useI18n';
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import { getWorkerPool } from '@/utils/workerPool';
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import { Upload, Image as ImageIcon, X, AlertTriangle, Camera, RefreshCw } from 'lucide-vue-next';
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const emit = defineEmits(['close']);
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const store = usePuzzleStore();
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const { t } = useI18n();
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const fileInput = ref(null);
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const canvasRef = ref(null);
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const previewCanvasRef = ref(null);
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const videoRef = ref(null);
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const isDragging = ref(false);
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const imageLoaded = ref(false);
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const processing = ref(false);
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const processingProgress = ref(0);
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const isCameraOpen = ref(false);
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const stream = ref(null);
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const facingMode = ref('environment');
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// Settings
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const maxDimension = ref(15);
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const threshold = ref(50); // 0-100% density
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// State
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const originalImage = ref(null);
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const generatedGrid = ref([]);
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const difficulty = ref(0);
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const solvability = ref(0);
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const difficultyLabel = ref('');
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const gridRows = ref(15);
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const gridCols = ref(15);
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const onDrop = (e) => {
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isDragging.value = false;
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const file = e.dataTransfer.files[0];
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if (file && file.type.startsWith('image/')) {
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processFile(file);
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}
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};
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const onFileSelect = (e) => {
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const file = e.target.files[0];
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if (file) {
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processFile(file);
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}
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};
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const processFile = (file) => {
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const reader = new FileReader();
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reader.onload = (e) => {
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const img = new Image();
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img.onload = () => {
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originalImage.value = img;
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imageLoaded.value = true;
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nextTick(() => {
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updateGrid();
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});
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};
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img.src = e.target.result;
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};
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reader.readAsDataURL(file);
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};
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const updateGrid = () => {
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if (!originalImage.value || !canvasRef.value) return;
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const ctx = canvasRef.value.getContext('2d');
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// Calculate dimensions preserving aspect ratio
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const imgW = originalImage.value.width;
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const imgH = originalImage.value.height;
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const aspect = imgW / imgH;
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let w, h;
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const maxDim = maxDimension.value;
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if (aspect >= 1) {
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w = maxDim;
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h = Math.round(w / aspect);
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} else {
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h = maxDim;
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w = Math.round(h * aspect);
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}
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// Ensure bounds [5, 80]
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// 1. Clamp min (prioritize min 5)
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if (w < 5) { w = 5; h = Math.round(w / aspect); }
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if (h < 5) { h = 5; w = Math.round(h * aspect); }
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// 2. Clamp max (hard limit 80)
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if (w > 80) w = 80;
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if (h > 80) h = 80;
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// Final safeguard
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w = Math.max(5, Math.min(80, Math.round(w)));
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h = Math.max(5, Math.min(80, Math.round(h)));
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gridRows.value = h;
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gridCols.value = w;
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// Resize logic
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canvasRef.value.width = w;
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canvasRef.value.height = h;
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// Draw image scaled to grid size
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ctx.drawImage(originalImage.value, 0, 0, w, h);
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// Get pixel data
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const imageData = ctx.getImageData(0, 0, w, h);
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const data = imageData.data;
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// 1. Collect brightness of valid pixels
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const pixels = [];
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for (let y = 0; y < h; y++) {
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for (let x = 0; x < w; x++) {
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const i = (y * w + x) * 4;
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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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// If transparent, ignore
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if (a >= 128) {
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// Calculate brightness (Luminance)
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const brightness = 0.299 * r + 0.587 * g + 0.114 * b;
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pixels.push({ x, y, brightness });
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}
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}
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}
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// 2. Sort by brightness (ascending: dark -> light)
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// Darker pixels have lower brightness.
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// We want to fill the darkest X% pixels.
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pixels.sort((a, b) => a.brightness - b.brightness);
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// 3. Determine cutoff
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// threshold.value is density (0-100%)
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// If density is 50%, we want 50% of pixels to be black.
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// So we take the first 50% of sorted pixels.
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const totalValid = pixels.length;
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const targetFillCount = Math.floor(totalValid * (threshold.value / 100));
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// 4. Build grid
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const grid = Array(h).fill().map(() => Array(w).fill(0));
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// Mark the darkest pixels as filled (1)
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for (let i = 0; i < targetFillCount; i++) {
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const p = pixels[i];
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grid[p.y][p.x] = 1;
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}
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generatedGrid.value = grid;
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drawPreview();
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calculateStats();
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};
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const drawPreview = () => {
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if (!previewCanvasRef.value || generatedGrid.value.length === 0) return;
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const ctx = previewCanvasRef.value.getContext('2d');
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const rows = generatedGrid.value.length;
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const cols = generatedGrid.value[0].length;
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// Max 300px width/height, preserving aspect
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const maxPreview = 300;
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const cellW = maxPreview / Math.max(rows, cols);
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const cellH = cellW; // square cells
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const previewW = cols * cellW;
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const previewH = rows * cellH;
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previewCanvasRef.value.width = previewW;
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previewCanvasRef.value.height = previewH;
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ctx.clearRect(0, 0, previewW, previewH);
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// Draw original image with low opacity
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if (originalImage.value) {
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ctx.save();
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ctx.globalAlpha = 0.3;
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ctx.drawImage(originalImage.value, 0, 0, previewW, previewH);
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ctx.restore();
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}
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for (let y = 0; y < rows; y++) {
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for (let x = 0; x < cols; x++) {
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if (generatedGrid.value[y][x] === 1) {
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ctx.fillStyle = '#000';
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ctx.fillRect(x * cellW, y * cellH, cellW, cellH);
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}
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}
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}
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// Grid lines
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ctx.strokeStyle = '#ccc';
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ctx.lineWidth = 0.5;
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// Vertical lines
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for (let i = 0; i <= cols; i++) {
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ctx.beginPath();
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ctx.moveTo(i * cellW, 0);
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ctx.lineTo(i * cellW, previewH);
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ctx.stroke();
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}
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// Horizontal lines
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for (let i = 0; i <= rows; i++) {
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ctx.beginPath();
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ctx.moveTo(0, i * cellH);
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ctx.lineTo(previewW, i * cellH);
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ctx.stroke();
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}
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};
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const calculateStats = async () => {
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if (generatedGrid.value.length === 0) return;
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processing.value = true;
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processingProgress.value = 0;
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const requestId = Date.now();
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currentStatsRequestId = requestId;
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try {
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const pool = getWorkerPool();
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pool.cancelAll(); // Force stop previous calculations for immediate responsiveness
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// Demonstrate parallel execution capability
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// We split the problem into two branches: assuming first cell is EMPTY (0) vs FILLED (1)
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// This doubles the search power by utilizing 2 workers immediately.
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// Ensure we send plain objects to workers, not Vue proxies
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const rawGrid = JSON.parse(JSON.stringify(generatedGrid.value));
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const rows = rawGrid.length;
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const cols = rawGrid[0].length;
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// Create initial states
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const gridA = Array(rows).fill().map(() => Array(cols).fill(-1));
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gridA[0][0] = 0; // Branch A: Assume (0,0) is Empty
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const gridB = Array(rows).fill().map(() => Array(cols).fill(-1));
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gridB[0][0] = 1; // Branch B: Assume (0,0) is Filled
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const tasks = [
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{
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data: { id: requestId, grid: rawGrid, initialGrid: gridA },
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onProgress: (p) => { if (currentStatsRequestId === requestId) processingProgress.value = Math.max(processingProgress.value, p); }
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},
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{
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data: { id: requestId, grid: rawGrid, initialGrid: gridB },
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onProgress: (p) => { if (currentStatsRequestId === requestId) processingProgress.value = Math.max(processingProgress.value, p); }
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}
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];
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const result = await pool.runRace(tasks);
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if (result.id === currentStatsRequestId) {
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solvability.value = result.solvability;
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difficulty.value = result.difficulty;
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difficultyLabel.value = result.difficultyLabel;
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}
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} catch (err) {
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if (err.message !== 'Cancelled' && err.message !== 'Terminated') {
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console.error('Worker error:', err);
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if (currentStatsRequestId === requestId) {
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solvability.value = 0;
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difficulty.value = 0;
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// If translation key is missing, this might show 'difficulty.error'
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// Ensure we have a fallback or the key exists
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difficultyLabel.value = 'error';
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}
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}
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} finally {
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if (currentStatsRequestId === requestId) {
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processing.value = false;
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}
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}
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};
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let currentStatsRequestId = 0;
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let debounceTimer;
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watch([maxDimension, threshold], () => {
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if (imageLoaded.value) {
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if (debounceTimer) clearTimeout(debounceTimer);
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debounceTimer = setTimeout(() => {
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updateGrid();
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}, 50);
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} else {
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// If no image loaded, just update the display values
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// Assuming square aspect ratio for preview
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gridRows.value = maxDimension.value;
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gridCols.value = maxDimension.value;
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}
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});
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const createPuzzle = () => {
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if (generatedGrid.value.length > 0) {
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store.initFromImage(generatedGrid.value);
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emit('close');
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}
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};
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const triggerFileInput = () => {
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fileInput.value.click();
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};
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const startCamera = async () => {
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isCameraOpen.value = true;
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try {
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if (stream.value) {
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stopCameraStream();
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}
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const constraints = {
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video: {
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facingMode: facingMode.value
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}
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};
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stream.value = await navigator.mediaDevices.getUserMedia(constraints);
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// Wait for next tick or ensure videoRef is available
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setTimeout(() => {
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if (videoRef.value) {
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videoRef.value.srcObject = stream.value;
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}
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}, 100);
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} catch (err) {
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console.error("Error accessing camera:", err);
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alert(t('image.cameraError'));
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isCameraOpen.value = false;
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}
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};
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const stopCameraStream = () => {
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if (stream.value) {
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stream.value.getTracks().forEach(track => track.stop());
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stream.value = null;
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}
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};
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const closeCamera = () => {
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stopCameraStream();
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isCameraOpen.value = false;
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};
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const switchCamera = async () => {
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facingMode.value = facingMode.value === 'user' ? 'environment' : 'user';
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await startCamera();
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};
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const capturePhoto = () => {
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if (!videoRef.value) return;
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const canvas = document.createElement('canvas');
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canvas.width = videoRef.value.videoWidth;
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canvas.height = videoRef.value.videoHeight;
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const ctx = canvas.getContext('2d');
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// Mirror if using front camera
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if (facingMode.value === 'user') {
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ctx.translate(canvas.width, 0);
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ctx.scale(-1, 1);
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}
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ctx.drawImage(videoRef.value, 0, 0, canvas.width, canvas.height);
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const img = new Image();
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img.onload = () => {
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originalImage.value = img;
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imageLoaded.value = true;
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nextTick(() => {
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updateGrid();
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});
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closeCamera();
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};
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img.src = canvas.toDataURL('image/png');
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};
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onUnmounted(() => {
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stopCameraStream();
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});
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</script>
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<template>
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<div class="modal-overlay" @click.self="$emit('close')">
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<div class="modal-content">
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<button class="close-btn" @click="$emit('close')">
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<X :size="24" />
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</button>
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<h2 class="modal-title">{{ t('image.title') }}</h2>
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<div v-if="isCameraOpen" class="camera-overlay">
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<video ref="videoRef" autoplay playsinline></video>
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<div class="camera-controls">
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<button class="camera-btn secondary" @click="closeCamera">
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<X :size="24" />
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</button>
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<button class="camera-btn capture" @click="capturePhoto">
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<div class="shutter"></div>
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</button>
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<button class="camera-btn secondary" @click="switchCamera">
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<RefreshCw :size="24" />
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</button>
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</div>
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</div>
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<div class="content-grid">
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<!-- Left: Input & Preview -->
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<div class="input-section">
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<div
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class="drop-zone"
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:class="{ dragging: isDragging, loaded: imageLoaded }"
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@dragover.prevent="isDragging = true"
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@dragleave.prevent="isDragging = false"
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@drop.prevent="onDrop"
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@click="!imageLoaded ? triggerFileInput() : null"
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>
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<input
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ref="fileInput"
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type="file"
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accept="image/*"
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class="hidden-input"
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@change="onFileSelect"
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/>
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<div v-if="!imageLoaded" class="placeholder">
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<Upload :size="48" class="icon" />
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<p>{{ t('image.drop') }}</p>
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<div class="button-group">
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<button class="btn-neon small" @click.stop="triggerFileInput">
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{{ t('image.select') }}
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</button>
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<button class="btn-neon small secondary" @click.stop="startCamera">
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<Camera :size="16" />
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{{ t('image.camera') }}
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</button>
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</div>
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</div>
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<div v-else class="preview-container">
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<canvas ref="previewCanvasRef" class="preview-canvas"></canvas>
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<div class="button-group">
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<button class="btn-change" @click.stop="triggerFileInput">
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{{ t('image.change') }}
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</button>
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<button class="btn-change" @click.stop="startCamera">
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<Camera :size="16" />
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</button>
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</div>
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</div>
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</div>
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<!-- Hidden canvas for processing -->
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<canvas ref="canvasRef" style="display: none;"></canvas>
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</div>
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<!-- Right: Controls & Stats -->
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<div class="controls-section">
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<div class="control-group">
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<label>{{ t('image.size') }}: {{ gridCols }}x{{ gridRows }}</label>
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<input
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type="range"
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v-model.number="maxDimension"
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min="5"
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max="80"
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step="5"
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/>
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</div>
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<div class="control-group">
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<label>{{ t('image.threshold') }}: {{ threshold }}%</label>
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<input
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type="range"
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v-model.number="threshold"
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min="1"
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max="99"
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/>
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<div class="threshold-preview">
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<span>Low Density</span>
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<span>High Density</span>
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</div>
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</div>
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<div v-if="imageLoaded" class="stats-panel">
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<div v-if="processing" class="loading-stats">
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<div class="spinner"></div>
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<span>{{ t('image.calculatingSolvability') || 'Calculating solvability...' }} {{ processingProgress }}%</span>
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</div>
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<template v-else>
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<div class="stat-row">
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<span>{{ t('image.solvability') }}:</span>
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<span :class="{ 'good': solvability === 100, 'bad': solvability < 100 }">
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{{ solvability }}%
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</span>
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</div>
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<div v-if="solvability < 100" class="warning">
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<AlertTriangle :size="16" />
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{{ t('image.warning') }}
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</div>
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<div class="stat-row">
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<span>{{ t('image.difficulty') }}:</span>
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<span>{{ difficulty }}% ({{ t(`difficulty.${difficultyLabel.toLowerCase()}`) }})</span>
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</div>
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</template>
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</div>
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<div class="actions">
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<button
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class="btn-neon primary"
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:disabled="!imageLoaded || processing"
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@click="createPuzzle"
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>
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{{ t('image.create') }}
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</button>
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</div>
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</div>
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</div>
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</div>
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</div>
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</template>
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<style scoped>
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.loading-stats {
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display: flex;
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align-items: center;
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justify-content: center;
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gap: 10px;
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padding: 10px;
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color: var(--text-muted);
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}
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.spinner {
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width: 20px;
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height: 20px;
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border: 2px solid var(--text-muted);
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border-top-color: var(--primary-accent);
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border-radius: 50%;
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animation: spin 1s linear infinite;
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}
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@keyframes spin {
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to { transform: rotate(360deg); }
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}
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|
|
|
.modal-overlay {
|
|
position: fixed;
|
|
top: 0;
|
|
left: 0;
|
|
width: 100vw;
|
|
height: 100vh;
|
|
background: rgba(0, 0, 0, 0.7);
|
|
backdrop-filter: blur(5px);
|
|
display: flex;
|
|
justify-content: center;
|
|
align-items: center;
|
|
z-index: 1000;
|
|
}
|
|
|
|
.modal-content {
|
|
background: var(--panel-bg);
|
|
border: 1px solid var(--border-color);
|
|
border-radius: 16px;
|
|
padding: 30px;
|
|
width: 90%;
|
|
max-width: 800px;
|
|
position: relative;
|
|
box-shadow: 0 0 30px rgba(0, 0, 0, 0.5);
|
|
color: var(--text-color);
|
|
max-height: 90vh;
|
|
overflow-y: auto;
|
|
}
|
|
|
|
.close-btn {
|
|
position: absolute;
|
|
top: 15px;
|
|
right: 15px;
|
|
background: none;
|
|
border: none;
|
|
color: var(--text-muted);
|
|
cursor: pointer;
|
|
transition: color 0.3s;
|
|
}
|
|
|
|
.close-btn:hover {
|
|
color: var(--text-color);
|
|
}
|
|
|
|
.modal-title {
|
|
text-align: center;
|
|
margin-bottom: 30px;
|
|
color: var(--primary-accent);
|
|
font-size: 1.8rem;
|
|
text-shadow: 0 0 10px var(--primary-accent);
|
|
}
|
|
|
|
.camera-overlay {
|
|
position: absolute;
|
|
top: 0;
|
|
left: 0;
|
|
width: 100%;
|
|
height: 100%;
|
|
background: #000;
|
|
z-index: 10;
|
|
display: flex;
|
|
flex-direction: column;
|
|
overflow: hidden;
|
|
border-radius: 16px;
|
|
}
|
|
|
|
.camera-overlay video {
|
|
width: 100%;
|
|
height: 100%;
|
|
object-fit: cover;
|
|
}
|
|
|
|
.camera-controls {
|
|
position: absolute;
|
|
bottom: 20px;
|
|
left: 0;
|
|
width: 100%;
|
|
display: flex;
|
|
justify-content: space-around;
|
|
align-items: center;
|
|
padding: 20px;
|
|
background: linear-gradient(to top, rgba(0,0,0,0.8), transparent);
|
|
}
|
|
|
|
.camera-btn {
|
|
background: none;
|
|
border: none;
|
|
color: white;
|
|
cursor: pointer;
|
|
display: flex;
|
|
align-items: center;
|
|
justify-content: center;
|
|
width: 50px;
|
|
height: 50px;
|
|
border-radius: 50%;
|
|
background: rgba(255,255,255,0.2);
|
|
backdrop-filter: blur(5px);
|
|
}
|
|
|
|
.camera-btn.capture {
|
|
width: 70px;
|
|
height: 70px;
|
|
background: rgba(255,255,255,0.3);
|
|
border: 4px solid white;
|
|
}
|
|
|
|
.shutter {
|
|
width: 54px;
|
|
height: 54px;
|
|
background: white;
|
|
border-radius: 50%;
|
|
transition: transform 0.1s;
|
|
}
|
|
|
|
.camera-btn.capture:active .shutter {
|
|
transform: scale(0.9);
|
|
}
|
|
|
|
.button-group {
|
|
display: flex;
|
|
gap: 10px;
|
|
margin-top: 15px;
|
|
justify-content: center;
|
|
}
|
|
|
|
.content-grid {
|
|
display: grid;
|
|
grid-template-columns: 1fr 1fr;
|
|
gap: 30px;
|
|
}
|
|
|
|
@media (max-width: 768px) {
|
|
.content-grid {
|
|
grid-template-columns: 1fr;
|
|
}
|
|
}
|
|
|
|
.drop-zone {
|
|
border: 2px dashed var(--border-color);
|
|
border-radius: 12px;
|
|
height: 300px;
|
|
display: flex;
|
|
justify-content: center;
|
|
align-items: center;
|
|
flex-direction: column;
|
|
cursor: pointer;
|
|
transition: all 0.3s;
|
|
background: rgba(255, 255, 255, 0.05);
|
|
}
|
|
|
|
.drop-zone:hover, .drop-zone.dragging {
|
|
border-color: var(--primary-accent);
|
|
background: rgba(0, 242, 254, 0.1);
|
|
}
|
|
|
|
.drop-zone.loaded {
|
|
border: none;
|
|
background: none;
|
|
cursor: default;
|
|
}
|
|
|
|
.placeholder {
|
|
display: flex;
|
|
flex-direction: column;
|
|
align-items: center;
|
|
gap: 15px;
|
|
color: var(--text-muted);
|
|
}
|
|
|
|
.hidden-input {
|
|
display: none;
|
|
}
|
|
|
|
.preview-container {
|
|
position: relative;
|
|
width: 300px;
|
|
height: 300px;
|
|
display: flex;
|
|
justify-content: center;
|
|
align-items: center;
|
|
}
|
|
|
|
.preview-container .button-group {
|
|
position: absolute;
|
|
bottom: 10px;
|
|
right: 10px;
|
|
display: flex;
|
|
gap: 8px;
|
|
margin: 0;
|
|
}
|
|
|
|
.preview-canvas {
|
|
max-width: 100%;
|
|
max-height: 100%;
|
|
border: 1px solid var(--border-color);
|
|
box-shadow: 0 0 15px rgba(0,0,0,0.3);
|
|
}
|
|
|
|
.btn-change {
|
|
background: rgba(0,0,0,0.7);
|
|
color: white;
|
|
border: 1px solid white;
|
|
padding: 5px 10px;
|
|
border-radius: 4px;
|
|
cursor: pointer;
|
|
font-size: 0.8rem;
|
|
display: flex;
|
|
align-items: center;
|
|
justify-content: center;
|
|
backdrop-filter: blur(2px);
|
|
transition: background 0.2s;
|
|
}
|
|
|
|
.btn-change:hover {
|
|
background: rgba(0,0,0,0.9);
|
|
}
|
|
|
|
.controls-section {
|
|
display: flex;
|
|
flex-direction: column;
|
|
gap: 20px;
|
|
}
|
|
|
|
.control-group {
|
|
display: flex;
|
|
flex-direction: column;
|
|
gap: 10px;
|
|
}
|
|
|
|
input[type="range"] {
|
|
width: 100%;
|
|
accent-color: var(--primary-accent);
|
|
}
|
|
|
|
.threshold-preview {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
font-size: 0.8rem;
|
|
color: var(--text-muted);
|
|
}
|
|
|
|
.stats-panel {
|
|
background: rgba(0,0,0,0.2);
|
|
padding: 15px;
|
|
border-radius: 8px;
|
|
border: 1px solid var(--border-color);
|
|
}
|
|
|
|
.stat-row {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
margin-bottom: 8px;
|
|
font-size: 1.1rem;
|
|
}
|
|
|
|
.good { color: #4ade80; }
|
|
.bad { color: #f87171; }
|
|
|
|
.warning {
|
|
color: #fbbf24;
|
|
font-size: 0.85rem;
|
|
display: flex;
|
|
align-items: center;
|
|
gap: 5px;
|
|
margin-top: -5px;
|
|
margin-bottom: 10px;
|
|
}
|
|
|
|
.actions {
|
|
margin-top: auto;
|
|
display: flex;
|
|
justify-content: center;
|
|
}
|
|
|
|
.btn-neon {
|
|
padding: 10px 20px;
|
|
border: 1px solid var(--primary-accent);
|
|
background: rgba(0, 242, 254, 0.1);
|
|
color: var(--primary-accent);
|
|
font-family: 'Orbitron', sans-serif;
|
|
text-transform: uppercase;
|
|
cursor: pointer;
|
|
transition: all 0.3s ease;
|
|
box-shadow: 0 0 10px rgba(0, 242, 254, 0.2);
|
|
border-radius: 4px;
|
|
}
|
|
|
|
.btn-neon:hover:not(:disabled) {
|
|
background: var(--primary-accent);
|
|
color: #000;
|
|
box-shadow: 0 0 20px var(--primary-accent);
|
|
}
|
|
|
|
.btn-neon:disabled {
|
|
opacity: 0.5;
|
|
cursor: not-allowed;
|
|
filter: grayscale(1);
|
|
}
|
|
|
|
.btn-neon.small {
|
|
padding: 5px 15px;
|
|
font-size: 0.8rem;
|
|
}
|
|
|
|
</style>
|