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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
    <title>SPaCial AI - Live Scanner</title>
    <script src="https://telegram.org/js/telegram-web-app.js"></script>
    <style>

        * {

            margin: 0;

            padding: 0;

            box-sizing: border-box;

        }



        body {

            font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Arial, sans-serif;

            background: #000;

            overflow: hidden;

            position: fixed;

            width: 100%;

            height: 100%;

        }



        #container {

            position: relative;

            width: 100%;

            height: 100%;

            display: flex;

            flex-direction: column;

        }



        #videoContainer {

            position: relative;

            flex: 1;

            overflow: hidden;

            background: #000;

        }



        #video {

            width: 100%;

            height: 100%;

            object-fit: cover;

        }



        #canvas {

            position: absolute;

            top: 0;

            left: 0;

            width: 100%;

            height: 100%;

            pointer-events: none;

        }



        #overlay {

            position: absolute;

            top: 20px;

            left: 20px;

            right: 20px;

            background: rgba(0, 0, 0, 0.7);

            color: white;

            padding: 15px;

            border-radius: 10px;

            font-size: 14px;

            z-index: 10;

        }



        #status {

            font-weight: bold;

            margin-bottom: 5px;

        }



        .zone-info {

            font-size: 12px;

            margin: 5px 0;

            color: #0f0;

        }



        #controls {

            background: rgba(0, 0, 0, 0.9);

            padding: 20px;

            display: flex;

            justify-content: space-around;

            align-items: center;

        }



        button {

            background: #0088cc;

            color: white;

            border: none;

            padding: 15px 30px;

            border-radius: 25px;

            font-size: 16px;

            font-weight: bold;

            cursor: pointer;

            transition: all 0.3s;

            min-width: 120px;

        }



        button:active {

            transform: scale(0.95);

        }



        button:disabled {

            background: #666;

            cursor: not-allowed;

        }



        #captureBtn {

            background: #28a745;

            font-size: 18px;

            padding: 20px 40px;

        }



        #toggleScanBtn {

            background: #ffc107;

        }



        #toggleScanBtn.scanning {

            background: #dc3545;

        }



        .error {

            color: #ff4444;

            background: rgba(255, 68, 68, 0.2);

            padding: 10px;

            border-radius: 5px;

            margin-top: 10px;

        }



        .loading {

            display: inline-block;

            width: 12px;

            height: 12px;

            border: 2px solid #fff;

            border-radius: 50%;

            border-top-color: transparent;

            animation: spin 0.6s linear infinite;

        }



        @keyframes spin {

            to { transform: rotate(360deg); }

        }



        #zoneCount {

            font-size: 24px;

            color: #0f0;

            font-weight: bold;

        }

    </style>
</head>
<body>
    <div id="container">
        <div id="videoContainer">
            <video id="video" autoplay playsinline></video>
            <canvas id="canvas"></canvas>
            
            <div id="overlay">
                <div id="status">πŸ“Έ Camera Ready</div>
                <div id="zoneCount">0 zones detected</div>
                <div id="details"></div>
            </div>
        </div>

        <div id="controls">
            <button id="toggleScanBtn" onclick="toggleScanning()">Start Scan</button>
            <button id="captureBtn" onclick="captureResults()" disabled>Capture</button>
        </div>
    </div>

    <script>

        const tg = window.Telegram.WebApp;

        tg.ready();

        tg.expand();



        const video = document.getElementById('video');

        const canvas = document.getElementById('canvas');

        const ctx = canvas.getContext('2d');

        const statusEl = document.getElementById('status');

        const zoneCountEl = document.getElementById('zoneCount');

        const detailsEl = document.getElementById('details');

        const toggleBtn = document.getElementById('toggleScanBtn');

        const captureBtn = document.getElementById('captureBtn');



        let isScanning = false;

        let scanInterval = null;

        let lastResults = null;

        let stream = null;



        // Get API URL (same host as mini app)

        const API_URL = window.location.origin;



        // Initialize camera

        async function initCamera() {

            try {

                stream = await navigator.mediaDevices.getUserMedia({ 

                    video: { 

                        facingMode: 'environment',

                        width: { ideal: 1920 },

                        height: { ideal: 1080 }

                    } 

                });

                video.srcObject = stream;

                

                video.addEventListener('loadedmetadata', () => {

                    canvas.width = video.videoWidth;

                    canvas.height = video.videoHeight;

                    statusEl.textContent = 'βœ… Camera Ready';

                });

            } catch (error) {

                statusEl.innerHTML = `❌ Camera Error: ${error.message}`;

                console.error('Camera error:', error);

            }

        }



        // Toggle scanning

        function toggleScanning() {

            if (isScanning) {

                stopScanning();

            } else {

                startScanning();

            }

        }



        // Start continuous scanning

        function startScanning() {

            isScanning = true;

            toggleBtn.textContent = 'Stop Scan';

            toggleBtn.classList.add('scanning');

            captureBtn.disabled = true;

            

            // Scan every 2 seconds

            scanInterval = setInterval(scanFrame, 2000);

            scanFrame(); // First scan immediately

        }



        // Stop scanning

        function stopScanning() {

            isScanning = false;

            toggleBtn.textContent = 'Start Scan';

            toggleBtn.classList.remove('scanning');

            captureBtn.disabled = false;

            

            if (scanInterval) {

                clearInterval(scanInterval);

                scanInterval = null;

            }

        }



        // Scan current frame

        async function scanFrame() {

            try {

                statusEl.innerHTML = '⏳ Processing... <span class="loading"></span>';

                

                // Draw video frame to canvas

                ctx.drawImage(video, 0, 0, canvas.width, canvas.height);

                

                // Get image as blob

                const blob = await new Promise(resolve => canvas.toBlob(resolve, 'image/jpeg', 0.95));

                

                // Send to OCR API

                const formData = new FormData();

                formData.append('file', blob, 'frame.jpg');

                formData.append('mode', 'fast');

                

                const response = await fetch(`${API_URL}/ocr/process`, {

                    method: 'POST',

                    body: formData

                });

                

                if (!response.ok) {

                    throw new Error(`HTTP ${response.status}`);

                }

                

                const result = await response.json();

                lastResults = result;

                

                // Draw results

                drawResults(result);

                

            } catch (error) {

                statusEl.innerHTML = `❌ Error: ${error.message}`;

                console.error('Scan error:', error);

            }

        }



        // Draw OCR results on canvas

        function drawResults(result) {

            const zones = result.zones || [];

            

            // Clear previous drawings

            ctx.clearRect(0, 0, canvas.width, canvas.height);

            

            // Update status

            statusEl.textContent = 'βœ… Scanning...';

            zoneCountEl.textContent = `${zones.length} zones detected`;

            

            // Draw zones

            zones.forEach((zone, index) => {

                const x = zone.x;

                const y = zone.y;

                const w = zone.width;

                const h = zone.height;

                

                // Draw green box

                ctx.strokeStyle = '#00ff00';

                ctx.lineWidth = 3;

                ctx.strokeRect(x, y, w, h);

                

                // Draw text label with background

                const text = zone.text;

                const fontSize = Math.max(16, Math.min(w / text.length * 1.5, 24));

                ctx.font = `bold ${fontSize}px Arial`;

                

                const textMetrics = ctx.measureText(text);

                const textWidth = textMetrics.width;

                const textHeight = fontSize;

                

                // Background for text

                ctx.fillStyle = 'rgba(0, 255, 0, 0.8)';

                ctx.fillRect(x, y - textHeight - 8, textWidth + 10, textHeight + 8);

                

                // Text

                ctx.fillStyle = '#000';

                ctx.fillText(text, x + 5, y - 8);

            });

            

            // Show first few zones in details

            if (zones.length > 0) {

                const preview = zones.slice(0, 3).map((z, i) => 

                    `${i + 1}. ${z.text} (${Math.round(z.confidence * 100)}%)`

                ).join('<br>');

                detailsEl.innerHTML = `<div class="zone-info">${preview}${zones.length > 3 ? '<br>...' : ''}</div>`;

            } else {

                detailsEl.innerHTML = '';

            }

        }



        // Capture and send results

        async function captureResults() {

            if (!lastResults) {

                tg.showAlert('No results to capture! Start scanning first.');

                return;

            }

            

            try {

                stopScanning();

                statusEl.textContent = 'πŸ“€ Sending results...';

                

                // Send results back to Telegram chat

                const zones = lastResults.zones || [];

                const message = `πŸ“Š OCR Results Captured!\n\nβœ… Found ${zones.length} text zones\n\nProcessing complete!`;

                

                // You can send data back to bot via bot API if needed

                // For now, just show confirmation

                tg.showAlert(`βœ… Captured ${zones.length} zones!\n\nResults saved.`, () => {

                    tg.close();

                });

                

            } catch (error) {

                statusEl.innerHTML = `<div class="error">Error: ${error.message}</div>`;

            }

        }



        // Handle Telegram back button

        tg.BackButton.show();

        tg.BackButton.onClick(() => {

            if (stream) {

                stream.getTracks().forEach(track => track.stop());

            }

            tg.close();

        });



        // Initialize on load

        initCamera();

    </script>
</body>
</html>