document.addEventListener('DOMContentLoaded', () => {

    // =============================================
    // Tab Navigation
    // =============================================
    document.querySelectorAll('.nav-btn').forEach(btn => {
        btn.addEventListener('click', () => {
            document.querySelectorAll('.nav-btn').forEach(b => b.classList.remove('active'));
            document.querySelectorAll('.tab-content').forEach(c => c.classList.remove('active'));
            btn.classList.add('active');
            document.getElementById(btn.dataset.tab).classList.add('active');
        });
    });

    document.querySelectorAll('.sub-btn').forEach(btn => {
        btn.addEventListener('click', () => {
            const parent = btn.closest('.glass-panel');
            parent.querySelectorAll('.sub-btn').forEach(b => b.classList.remove('active'));
            parent.querySelectorAll('.sub-content').forEach(c => c.classList.remove('active'));
            btn.classList.add('active');
            document.getElementById(btn.dataset.target).classList.add('active');
        });
    });

    refreshData();

    // =============================================
    // Toast Notification
    // =============================================
    function showToast(message, type = 'success') {
        const container = document.getElementById('toast-container');
        const toast = document.createElement('div');
        toast.className = `toast ${type}`;
        const icon = type === 'success' ? 'fa-check-circle' : 'fa-exclamation-triangle';
        toast.innerHTML = `<i class="fa-solid ${icon}"></i> <span>${message}</span>`;
        container.appendChild(toast);
        setTimeout(() => toast.remove(), 4500);
    }

    // =============================================
    // Drone Mode Toggle Logic
    // =============================================
    const droneSwitch     = document.getElementById('drone-mode-switch');
    const rtspWrap        = document.getElementById('rtsp-wrap');
    const cameraSourceEl  = document.getElementById('camera-source');
    const navDroneBadge   = document.getElementById('nav-drone-badge');
    const navDroneLabel   = document.getElementById('nav-drone-label');
    const droneOverlay    = document.getElementById('drone-overlay-badge');

    function applyDroneUI(enabled) {
        if (enabled) {
            rtspWrap.classList.remove('hidden');
            cameraSourceEl.classList.add('hidden');
            navDroneBadge.classList.add('active');
            navDroneLabel.textContent = 'Drone Mode';
            document.body.classList.add('drone-active');
            droneOverlay.classList.remove('hidden');
        } else {
            rtspWrap.classList.add('hidden');
            cameraSourceEl.classList.remove('hidden');
            navDroneBadge.classList.remove('active');
            navDroneLabel.textContent = 'Normal Mode';
            document.body.classList.remove('drone-active');
            droneOverlay.classList.add('hidden');
        }
    }

    droneSwitch.addEventListener('change', () => {
        applyDroneUI(droneSwitch.checked);
    });

    // =============================================
    // Camera Controls
    // =============================================
    
    // Populate cameras on load
    if (navigator.mediaDevices && navigator.mediaDevices.enumerateDevices) {
        navigator.mediaDevices.enumerateDevices().then(devices => {
            const videoDevices = devices.filter(d => d.kind === 'videoinput');
            const cameraSourceEl = document.getElementById('camera-source');
            if (videoDevices.length > 0) {
                cameraSourceEl.innerHTML = '';
                videoDevices.forEach((d, i) => {
                    const opt = document.createElement('option');
                    opt.value = d.deviceId;
                    opt.textContent = d.label || `Camera ${i + 1}`;
                    cameraSourceEl.appendChild(opt);
                });
            }
        });
    }

    const btnToggleCamera = document.getElementById('btn-toggle-camera');

    const cameraModeEl          = document.getElementById('camera-mode');
    const videoFeed             = document.getElementById('video-feed');
    const videoWrapper          = document.getElementById('video-wrapper');
    const noSignal              = document.querySelector('.no-signal');
    const cameraStatusText      = document.getElementById('camera-status-text');
    const cameraStatusIndicator = document.getElementById('camera-status-indicator');
    
    let isCameraActive          = false;
    let localStream             = null;
    let localHiddenVideo        = document.createElement('video');
    localHiddenVideo.autoplay   = true;
    localHiddenVideo.playsInline= true;
    let localHiddenCanvas       = document.createElement('canvas');

    let motionPollInterval      = null;
    let heartbeatInterval       = null;
    let streamRetryCount        = 0;
    const MAX_STREAM_RETRIES    = 10;

    btnToggleCamera.addEventListener('click', () => {
        if (!isCameraActive) {
            const isDrone   = droneSwitch.checked;
            const mode      = cameraModeEl.value;
            const source    = cameraSourceEl.value;
            const rtspUrl   = document.getElementById('rtsp-url').value.trim();

            if (isDrone && !rtspUrl) {
                showToast('Please enter a Stream URL (HTTP/RTSP) for Drone Mode.', 'error');
                return;
            }

            const payload = { mode, drone_mode: isDrone };
            if (isDrone) {
                payload.rtsp_url = rtspUrl;
            } else {
                payload.source = source;
            }

            fetch('/api/camera/start', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify(payload)
            }).then(r => r.json()).then(data => {
                if (data.success) {
                    isCameraActive = true;
                    streamRetryCount = 0;
                    btnToggleCamera.innerHTML = '<i class="fa-solid fa-stop"></i> Stop Recognition';
                    btnToggleCamera.classList.add('stop');
                    cameraModeEl.disabled     = true;
                    cameraSourceEl.disabled   = true;
                    droneSwitch.disabled      = true;

                    connectVideoStream();

                    const modeLabel = isDrone ? `Drone (${mode})` : `Active (${mode})`;
                    cameraStatusText.textContent = modeLabel;
                    cameraStatusText.classList.replace('text-danger', 'text-success');
                    cameraStatusIndicator.classList.add('on');
                    showToast(isDrone ? '🚁 Drone mode started!' : 'Camera started successfully.');

                    // Poll motion level and model status every 2s
                    motionPollInterval = setInterval(pollDroneStatus, 2000);
                    // Heartbeat to detect stream death
                    heartbeatInterval = setInterval(checkHeartbeat, 3000);
                } else {
                    showToast(data.error || 'Failed to start camera.', 'error');
                }
            });
        } else {
            fetch('/api/camera/stop', { method: 'POST' }).then(() => {
                isCameraActive = false;
                streamRetryCount = 0;
                btnToggleCamera.innerHTML = '<i class="fa-solid fa-play"></i> Start Recognition';
                btnToggleCamera.classList.remove('stop');
                cameraModeEl.disabled   = false;
                cameraSourceEl.disabled = false;
                droneSwitch.disabled    = false;

                
                if (localStream) {
                    localStream.getTracks().forEach(t => t.stop());
                    localStream = null;
                }
                videoFeed.src = '';

                videoFeed.classList.add('hidden');
                noSignal.classList.remove('hidden');
                videoWrapper.classList.remove('active');

                cameraStatusText.textContent = 'Offline';
                cameraStatusText.classList.replace('text-success', 'text-danger');
                cameraStatusIndicator.classList.remove('on');

                clearInterval(motionPollInterval);
                clearInterval(heartbeatInterval);
                document.getElementById('motion-level-val').textContent = '—';
                showToast('Camera stopped.');
            });
        }
    });

    // =============================================
    // Drone Status Poll (motion level + model chips)
    // =============================================
    function pollDroneStatus() {
        fetch('/api/drone/status').then(r => r.json()).then(data => {
            // Motion level
            const motionEl = document.getElementById('motion-level-val');
            if (data.drone_mode) {
                const m = data.motion_level;
                motionEl.textContent = m.toFixed(1);
                const motionIcon = document.getElementById('motion-icon');
                if (m > 15) {
                    motionIcon.className = 'stat-icon red';
                    motionEl.className = 'text-danger';
                } else if (m > 6) {
                    motionIcon.className = 'stat-icon orange';
                    motionEl.className = 'text-orange';
                } else {
                    motionIcon.className = 'stat-icon green';
                    motionEl.className = 'text-success';
                }
            } else {
                motionEl.textContent = '—';
            }

            // Model chips
            updateChip('chip-opencv',   data.opencv_dnn,  'OpenCV DNN');
            updateChip('chip-deepsort', data.deepsort,    'DeepSORT');
            updateChip('chip-deepface', data.deepface,    'DeepFace');
            // YOLO variant
            const yoloChip = document.getElementById('chip-yolo');
            if (data.drone_mode) {
                yoloChip.innerHTML = '<i class="fa-solid fa-circle-check"></i> YOLOv8s';
                yoloChip.className = 'model-chip drone';
            } else {
                yoloChip.innerHTML = '<i class="fa-solid fa-circle-check"></i> YOLOv8n';
                yoloChip.className = 'model-chip active';
            }
        }).catch(() => {});
    }

    function updateChip(id, available, label) {
        const chip = document.getElementById(id);
        if (!chip) return;
        if (available) {
            chip.innerHTML = `<i class="fa-solid fa-circle-check"></i> ${label}`;
            chip.className = 'model-chip active';
        } else {
            chip.innerHTML = `<i class="fa-solid fa-circle-xmark"></i> ${label}`;
            chip.className = 'model-chip inactive';
        }
    }

    function pollNewModels() {
        fetch('/api/drone/status').then(r => r.json()).then(data => {
            updateChip('chip-osnet',   data.osnet,       data.osnet_name || 'OSNet');
            updateChip('chip-gait',    data.gait_engine,  'DeepGaitV2');
            updateChip('chip-biomech', data.biomech,      'Biomech');
            updateChip('chip-faiss',   data.faiss,        'FAISS');
        }).catch(() => {});
    }
    setTimeout(pollNewModels, 4000);

    // Poll once on load to show model availability
    setTimeout(pollDroneStatus, 3000);

    // =============================================
    // Stream Auto-Reconnect & Heartbeat
    // =============================================
    
    function connectVideoStream() {
        const isDrone = droneSwitch.checked;
        if (isDrone) {
            // Drone Mode: MJPEG Stream from Backend (RTSP)
            videoFeed.src = `/video_feed?t=${Date.now()}`;
            videoFeed.classList.remove('hidden');
            noSignal.classList.add('hidden');
            videoWrapper.classList.add('active');
        } else {
            // Normal Mode: Client WebRTC Webcam -> Canvas Base64 -> Backend POST
            const source = cameraSourceEl.value;
            const constraints = {
                video: { deviceId: source ? { exact: source } : undefined, width: { ideal: 640 }, height: { ideal: 480 } }
            };
            
            navigator.mediaDevices.getUserMedia(constraints).then(stream => {
                localStream = stream;
                localHiddenVideo.srcObject = stream;
                
                localHiddenVideo.onloadedmetadata = () => {
                    localHiddenVideo.play();
                    localHiddenCanvas.width = localHiddenVideo.videoWidth || 640;
                    localHiddenCanvas.height = localHiddenVideo.videoHeight || 480;
                    
                    const sendFrame = () => {
                        if (!isCameraActive || droneSwitch.checked) return;
                        
                        const ctx = localHiddenCanvas.getContext('2d');
                        ctx.drawImage(localHiddenVideo, 0, 0, localHiddenCanvas.width, localHiddenCanvas.height);
                        const b64 = localHiddenCanvas.toDataURL('image/jpeg', 0.6); // 60% quality to save bandwidth
                        
                        fetch('/api/camera/process_frame', {
                            method: 'POST',
                            headers: { 'Content-Type': 'application/json' },
                            body: JSON.stringify({ image: b64 })
                        }).then(r => r.json()).then(data => {
                            if (data.image) {
                                videoFeed.src = 'data:image/jpeg;base64,' + data.image;
                            }
                            if (isCameraActive && !droneSwitch.checked) {
                                requestAnimationFrame(sendFrame);
                            }
                        }).catch(e => {
                            console.error("Frame process error:", e);
                            if (isCameraActive && !droneSwitch.checked) {
                                setTimeout(sendFrame, 1000); // Retry after 1s on error
                            }
                        });
                    };
                    
                    sendFrame(); // Start loop
                };
                
                videoFeed.classList.remove('hidden');
                noSignal.classList.add('hidden');
                videoWrapper.classList.add('active');
                showToast('Webcam connected successfully');
                
            }).catch(err => {
                console.error(err);
                showToast('Webcam access denied or not found.', 'error');
                // Auto-stop if we can't get webcam
                fetch('/api/camera/stop', { method: 'POST' }).then(() => {
                    btnToggleCamera.click();
                });
            });
        }
    }


    // Auto-reconnect when the MJPEG stream drops
    videoFeed.addEventListener('error', () => {
        if (!isCameraActive) return;
        if (streamRetryCount >= MAX_STREAM_RETRIES) {
            showToast('Stream lost after multiple retries. Try restarting.', 'error');
            return;
        }
        streamRetryCount++;
        const delay = Math.min(1000 * streamRetryCount, 5000);
        console.log(`[Stream] Error detected, retry ${streamRetryCount}/${MAX_STREAM_RETRIES} in ${delay}ms`);
        setTimeout(() => {
            if (isCameraActive) {
                videoFeed.src = `/video_feed?t=${Date.now()}`;
            }
        }, delay);
    });

    // Heartbeat: detect when backend is alive but stream img is broken
    function checkHeartbeat() {
        if (!isCameraActive) return;
        fetch('/api/camera/heartbeat').then(r => r.json()).then(data => {
            if (data.active && isCameraActive) {
                // Backend says camera is active. Check if our img is still loading
                // If the img has no naturalWidth, it likely lost the stream
                if (videoFeed.naturalWidth === 0 && !videoFeed.classList.contains('hidden')) {
                    console.log('[Heartbeat] Stream appears dead, forcing reconnect');
                    streamRetryCount = 0; // reset retries for heartbeat-triggered reconnect
                    videoFeed.src = `/video_feed?t=${Date.now()}`;
                }
            } else if (!data.active && isCameraActive) {
                // Backend stopped but frontend thinks it's still active
                console.log('[Heartbeat] Backend reported camera inactive');
            }
        }).catch(() => {});
    }

    // =============================================
    // Data Refresh
    // =============================================
    function refreshData() {
        fetch('/api/people').then(r => r.json()).then(data => {
            const list = document.getElementById('face-list');
            document.getElementById('total-faces').textContent = data.length;
            list.innerHTML = data.length === 0
                ? '<p class="text-gray text-center mt-3">No faces saved yet.</p>'
                : data.map(p => `
                    <div class="list-item">
                        <span class="name"><i class="fa-solid fa-user"></i> ${p.name}</span>
                        <span class="badge">${p.count} emb</span>
                    </div>`).join('');
        });

        fetch('/api/objects').then(r => r.json()).then(data => {
            const list = document.getElementById('obj-list');
            document.getElementById('total-objects').textContent = data.length;
            list.innerHTML = data.length === 0
                ? '<p class="text-gray text-center mt-3">No objects saved yet.</p>'
                : data.map(o => `
                    <div class="list-item">
                        <span class="name"><i class="fa-solid fa-cube"></i> ${o.name}</span>
                        <span class="badge">${o.count} emb</span>
                    </div>`).join('');
        });
    }

    // =============================================
    // Match Log Refresh
    // =============================================
    function refreshMatchLog() {
        fetch('/api/match/log').then(r => r.json()).then(events => {
            const list = document.getElementById('match-log-list');
            if (!events || events.length === 0) {
                list.innerHTML = '<p class="text-gray text-center mt-2">No match events yet.</p>';
                return;
            }
            list.innerHTML = events.reverse().map(ev => {
                const time = new Date(ev.timestamp * 1000).toLocaleTimeString();
                const pct = (ev.score * 100).toFixed(1);
                const sc = ev.scores || {};
                return `
                    <div class="list-item match-event">
                        <span class="name"><i class="fa-solid fa-crosshairs" style="color:var(--success)"></i> ${ev.name}</span>
                        <span class="badge" style="color:var(--success)">${pct}%</span>
                        <span class="text-small text-gray" style="width:100%;margin-top:3px">
                            ${time} &mdash; G:${((sc.gait||0)*100).toFixed(0)}% B:${((sc.biomech||0)*100).toFixed(0)}% A:${((sc.appearance||0)*100).toFixed(0)}% H:${((sc.height||0)*100).toFixed(0)}%
                            ${sc.face != null ? 'F:'+((sc.face||0)*100).toFixed(0)+'%' : ''}
                        </span>
                    </div>`;
            }).join('');
        }).catch(() => {});
    }
    setInterval(refreshMatchLog, 5000);

    // =============================================
    // Camera Calibration
    // =============================================
    document.getElementById('btn-save-calibration').addEventListener('click', () => {
        const focal = parseFloat(document.getElementById('calib-focal').value) || 0;
        const camH = parseFloat(document.getElementById('calib-height').value) || 0;
        const tilt = parseFloat(document.getElementById('calib-tilt').value) || 0;

        fetch('/api/camera/calibration', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({ focal_length_px: focal, camera_height_m: camH, camera_tilt_deg: tilt })
        }).then(r => r.json()).then(data => {
            const badge = document.getElementById('calibration-badge');
            if (data.calibrated) {
                badge.textContent = 'CALIBRATED';
                badge.classList.add('calibrated');
                showToast('Camera calibration saved! Height estimation is now active.');
            } else {
                badge.textContent = 'NOT SET';
                badge.classList.remove('calibrated');
                showToast('Calibration cleared. Using relative height ratios.', 'error');
            }
        });
    });

    // Load calibration on startup
    fetch('/api/camera/calibration').then(r => r.json()).then(data => {
        const badge = document.getElementById('calibration-badge');
        if (data.calibrated && data.calibration) {
            document.getElementById('calib-focal').value = data.calibration.focal_length_px || '';
            document.getElementById('calib-height').value = data.calibration.camera_height_m || '';
            document.getElementById('calib-tilt').value = data.calibration.camera_tilt_deg || '';
            badge.textContent = 'CALIBRATED';
            badge.classList.add('calibrated');
        }
    }).catch(() => {});

    // =============================================
    // File Upload
    // =============================================
    function setupUpload(dropAreaId, fileInputId, countId) {
        const area  = document.getElementById(dropAreaId);
        const input = document.getElementById(fileInputId);
        const count = document.getElementById(countId);
        area.addEventListener('click', () => input.click());
        area.addEventListener('dragover',  e => { e.preventDefault(); area.classList.add('dragover'); });
        area.addEventListener('dragleave', ()  => area.classList.remove('dragover'));
        area.addEventListener('drop', e => {
            e.preventDefault(); area.classList.remove('dragover');
            if (e.dataTransfer.files.length > 0) {
                input.files = e.dataTransfer.files;
                count.textContent = `${input.files.length} file(s) selected`;
            }
        });
        input.addEventListener('change', () => {
            count.textContent = `${input.files.length} file(s) selected`;
        });
    }
    setupUpload('face-drop-area', 'face-files', 'face-file-count');
    setupUpload('obj-drop-area',  'obj-files',  'obj-file-count');

    document.getElementById('form-add-face').addEventListener('submit', e => {
        e.preventDefault();
        const name  = document.getElementById('face-name').value.trim();
        const files = document.getElementById('face-files').files;
        if (!name || !files.length) return showToast('Provide a name and at least 1 image.', 'error');
        const fd = new FormData();
        fd.append('name', name);
        [...files].forEach(f => fd.append('files', f));
        fetch('/api/upload/person', { method: 'POST', body: fd }).then(r => r.json()).then(data => {
            if (data.success) {
                showToast(`Saved ${name}! (${data.embeddings} embeddings)`);
                document.getElementById('form-add-face').reset();
                document.getElementById('face-file-count').textContent = 'No files selected';
                refreshData();
            } else showToast(data.error, 'error');
        });
    });

    document.getElementById('form-add-obj').addEventListener('submit', e => {
        e.preventDefault();
        const name  = document.getElementById('obj-name').value.trim();
        const files = document.getElementById('obj-files').files;
        if (!name || !files.length) return showToast('Provide a name and at least 1 image.', 'error');
        const fd = new FormData();
        fd.append('name', name);
        [...files].forEach(f => fd.append('files', f));
        fetch('/api/upload/object', { method: 'POST', body: fd }).then(r => r.json()).then(data => {
            if (data.success) {
                showToast(`Saved ${name}! (${data.embeddings} embeddings)`);
                document.getElementById('form-add-obj').reset();
                document.getElementById('obj-file-count').textContent = 'No files selected';
                refreshData();
            } else showToast(data.error, 'error');
        });
    });

    // =============================================
    // Delete
    // =============================================
    document.getElementById('btn-del-face').addEventListener('click', () => {
        const name = document.getElementById('del-face-name').value.trim();
        if (!name) return showToast('Enter a name to delete', 'error');
        fetch(`/api/delete/person/${name}`, { method: 'DELETE' }).then(r => r.json()).then(data => {
            if (data.success) { showToast(`Deleted: ${name}`); document.getElementById('del-face-name').value = ''; refreshData(); }
            else showToast(data.error, 'error');
        });
    });

    document.getElementById('btn-del-obj').addEventListener('click', () => {
        const name = document.getElementById('del-obj-name').value.trim();
        if (!name) return showToast('Enter an object to delete', 'error');
        fetch(`/api/delete/object/${name}`, { method: 'DELETE' }).then(r => r.json()).then(data => {
            if (data.success) { showToast(`Deleted: ${name}`); document.getElementById('del-obj-name').value = ''; refreshData(); }
            else showToast(data.error, 'error');
        });
    });

    // =============================================
    // Live Training (Fully Automatic — No Manual Capture)
    // =============================================
    const overlay        = document.getElementById('training-overlay');
    const trainStatus    = document.getElementById('training-status');
    const trainFeed      = document.getElementById('train-video-feed');
    const trainNoSignal  = document.getElementById('train-no-signal');
    const trainDots      = document.getElementById('train-progress-dots');
    const btnCancel      = document.getElementById('btn-train-cancel');
    const subjectBadge   = document.getElementById('train-subject-name');
    let trainPollInterval = null;

    function openTrainingUI(name) {
        overlay.classList.remove('hidden');
        subjectBadge.textContent = name;
        trainNoSignal.classList.remove('hidden');
        trainFeed.classList.add('hidden');

        // Reset dots
        trainDots.querySelectorAll('.dot').forEach(d => {
            d.classList.remove('captured', 'active');
        });

        // Connect MJPEG stream after a small delay (camera needs to init)
        setTimeout(() => {
            trainFeed.src = `/train_feed?t=${Date.now()}`;
            trainFeed.onload = () => {
                trainNoSignal.classList.add('hidden');
                trainFeed.classList.remove('hidden');
            };
        }, 600);

        // Start polling status
        trainPollInterval = setInterval(pollTrainStatus, 800);
    }

    function closeTrainingUI() {
        overlay.classList.add('hidden');
        trainFeed.src = '';
        trainFeed.classList.add('hidden');
        trainNoSignal.classList.remove('hidden');
        if (trainPollInterval) clearInterval(trainPollInterval);
        trainPollInterval = null;
    }

    function pollTrainStatus() {
        fetch('/api/train/live/status').then(r => r.json()).then(data => {
            trainStatus.textContent = data.message;

            // Update progress dots
            const captured = data.captured || 0;
            const maxP = data.max || 6;
            trainDots.querySelectorAll('.dot').forEach((d, i) => {
                d.classList.remove('captured', 'active');
                if (i < captured) d.classList.add('captured');
                else if (i === captured) d.classList.add('active');
            });

            // If session ended (backend auto-finishes after 6 photos)
            if (data.status === 'idle' && !data.active) {
                closeTrainingUI();
                if (data.success) {
                    showToast(`Training done! Saved ${data.saved} images.`);
                    refreshData();
                } else if (data.message && data.message !== 'Cancelled') {
                    showToast(data.message, 'error');
                }
            }
        }).catch(() => {});
    }

    // Cancel button — only manual interaction needed
    btnCancel.addEventListener('click', () => {
        fetch('/api/train/live/stop', { method: 'POST' }).then(() => {
            closeTrainingUI();
            showToast('Training cancelled.');
        });
    });

    // Right-click on video feed to select a person (multi-person scenario)
    trainFeed.addEventListener('contextmenu', (e) => {
        e.preventDefault();
        // Calculate click position as percentage of the displayed image
        const rect = trainFeed.getBoundingClientRect();
        const imgW = trainFeed.naturalWidth || 1280;
        const imgH = trainFeed.naturalHeight || 720;
        const dispW = rect.width;
        const dispH = rect.height;
        // Account for object-fit: contain scaling
        const scale = Math.min(dispW / imgW, dispH / imgH);
        const renderedW = imgW * scale;
        const renderedH = imgH * scale;
        const offsetX = (dispW - renderedW) / 2;
        const offsetY = (dispH - renderedH) / 2;
        const relX = e.clientX - rect.left - offsetX;
        const relY = e.clientY - rect.top - offsetY;
        const x_pct = Math.max(0, Math.min(1, relX / renderedW));
        const y_pct = Math.max(0, Math.min(1, relY / renderedH));

        fetch('/api/train/live/select', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({ x_pct, y_pct })
        }).then(r => r.json()).then(data => {
            if (data.success) {
                showToast('Target selected! Auto-capturing...');
            } else {
                showToast(data.error || 'Selection failed', 'error');
            }
        });
    });

    // Start training for Face
    document.getElementById('btn-face-live').addEventListener('click', () => {
        const name = document.getElementById('face-live-name').value.trim();
        if (!name) return showToast('Enter a person name first', 'error');
        if (isCameraActive) return showToast('Stop recognition before live training.', 'error');
        fetch('/api/train/live/start', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({ name, type: 'person', source: cameraSourceEl.value })
        }).then(r => r.json()).then(data => {
            if (data.success) {
                document.getElementById('face-live-name').value = '';
                openTrainingUI(name);
            } else showToast(data.error, 'error');
        });
    });

    // Start training for Object
    document.getElementById('btn-obj-live').addEventListener('click', () => {
        const name = document.getElementById('obj-live-name').value.trim();
        if (!name) return showToast('Enter an object name first', 'error');
        if (isCameraActive) return showToast('Stop recognition before live training.', 'error');
        fetch('/api/train/live/start', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: JSON.stringify({ name, type: 'object', source: cameraSourceEl.value })
        }).then(r => r.json()).then(data => {
            if (data.success) {
                document.getElementById('obj-live-name').value = '';
                openTrainingUI(name);
            } else showToast(data.error, 'error');
        });
    });
    // =============================================
    // Profiles Tab
    // =============================================
    // Profile video upload area (custom handler for single video file)
    const profDropArea = document.getElementById('profile-drop-area');
    const profFileInput = document.getElementById('profile-video');
    const profFileName = document.getElementById('profile-file-name');
    
    profDropArea.addEventListener('click', () => profFileInput.click());
    profDropArea.addEventListener('dragover', e => { e.preventDefault(); profDropArea.classList.add('dragover'); });
    profDropArea.addEventListener('dragleave', () => profDropArea.classList.remove('dragover'));
    profDropArea.addEventListener('drop', e => {
        e.preventDefault(); profDropArea.classList.remove('dragover');
        if (e.dataTransfer.files.length > 0) {
            profFileInput.files = e.dataTransfer.files;
            profFileName.textContent = `📹 ${e.dataTransfer.files[0].name}`;
        }
    });
    profFileInput.addEventListener('change', () => {
        if (profFileInput.files.length > 0) {
            profFileName.textContent = `📹 ${profFileInput.files[0].name}`;
        }
    });
    let activeSearchProfileId = null;
    let targetPollInterval = null;
    let targetFoundModalShown = false;
    let verifyPollInterval = null;

    function showTargetFoundPopup(name, score) {
        if (targetFoundModalShown) return;
        targetFoundModalShown = true;
        const overlay = document.createElement('div');
        overlay.className = 'target-found-overlay';
        const pctStr = score ? `${(score * 100).toFixed(0)}%` : 'HIGH';
        overlay.innerHTML = `
            <div class="target-found-modal">
                <i class="fa-solid fa-bullseye target-icon pulse"></i>
                <h2>TARGET VERIFIED</h2>
                <p style="font-size:0.9rem; color: var(--text-muted); margin-top:8px">Multi-modal verification complete</p>
                <p style="margin-top:12px">Target <strong>${name}</strong> has been positively identified and verified through temporal analysis at <strong>${pctStr}</strong> confidence.</p>
                <button class="btn btn-primary mt-4" style="width: 100%; justify-content: center" onclick="this.closest('.target-found-overlay').remove(); setTimeout(() => targetFoundModalShown = false, 8000);">Dismiss</button>
            </div>
        `;
        document.body.appendChild(overlay);
        showToast('\u{1F3AF} Target verified and locked!', 'success');
    }

    function startTargetPolling() {
        if (targetPollInterval) clearInterval(targetPollInterval);
        if (verifyPollInterval) clearInterval(verifyPollInterval);
        targetFoundModalShown = false;

        // Poll verification status
        verifyPollInterval = setInterval(() => {
            if (!activeSearchProfileId) {
                clearInterval(verifyPollInterval);
                return;
            }
            fetch('/api/target/verify_status').then(r => r.json()).then(data => {
                if (!data.active) return;
                const bar = document.getElementById('verify-status-' + activeSearchProfileId);
                if (!bar) return;

                const state = data.state || 'scanning';
                const msg = data.message || '';
                const progress = data.progress || 0;
                const score = data.score || 0;
                const ls = data.live_scores || {};
                let label;

                if (state === 'scanning') {
                    bar.style.color = 'var(--warning)';
                    bar.style.borderColor = 'var(--warning)';
                    label = '<i class="fa-solid fa-magnifying-glass fa-pulse"></i> ' + msg;
                } else if (state === 'verifying') {
                    bar.style.color = 'var(--cyan)';
                    bar.style.borderColor = 'var(--cyan)';
                    const pct = (progress * 100).toFixed(0);
                    label = '<i class="fa-solid fa-shield-halved fa-beat-fade"></i> ' + msg;
                    label += '<div class="verify-progress-bar"><div class="verify-progress-fill" style="width:' + pct + '%"></div></div>';
                    // Per-modality mini-scores
                    label += '<div class="verify-scores-mini">';
                    label += `<span title="Gait">G:${((ls.gait||0)*100).toFixed(0)}%</span>`;
                    label += `<span title="Biomech">B:${((ls.biomech||0)*100).toFixed(0)}%</span>`;
                    label += `<span title="Appearance">A:${((ls.appearance||0)*100).toFixed(0)}%</span>`;
                    label += `<span title="Height">H:${((ls.height||0)*100).toFixed(0)}%</span>`;
                    if (ls.face != null) label += `<span title="Face">F:${((ls.face||0)*100).toFixed(0)}%</span>`;
                    label += '</div>';
                } else if (state === 'confirmed') {
                    bar.style.color = 'var(--success)';
                    bar.style.borderColor = 'var(--success)';
                    const scorePct = (score * 100).toFixed(0);
                    label = '<i class="fa-solid fa-crosshairs"></i> TARGET LOCKED \u2014 ' + scorePct + '% confidence';
                    // Per-modality breakdown
                    label += '<div class="verify-scores-mini confirmed">';
                    label += `<span>G:${((ls.gait||0)*100).toFixed(0)}%</span>`;
                    label += `<span>B:${((ls.biomech||0)*100).toFixed(0)}%</span>`;
                    label += `<span>A:${((ls.appearance||0)*100).toFixed(0)}%</span>`;
                    label += `<span>H:${((ls.height||0)*100).toFixed(0)}%</span>`;
                    if (ls.face != null) label += `<span>F:${((ls.face||0)*100).toFixed(0)}%</span>`;
                    label += `<span style="color:var(--cyan)">E:${((ls.ensemble||0)*100).toFixed(0)}%</span>`;
                    label += '</div>';
                    if (!targetFoundModalShown) showTargetFoundPopup(data.target_name, score);
                } else if (state === 'lost') {
                    bar.style.color = 'var(--danger)';
                    bar.style.borderColor = 'var(--danger)';
                    label = '<i class="fa-solid fa-triangle-exclamation fa-beat"></i> ' + msg;
                } else {
                    bar.style.color = 'var(--text-muted)';
                    bar.style.borderColor = 'var(--text-muted)';
                    label = msg;
                }
                bar.innerHTML = label;
            }).catch(() => {});
        }, 800);

        // Backup poll for /api/target/found
        targetPollInterval = setInterval(() => {
            if (!activeSearchProfileId) {
                clearInterval(targetPollInterval);
                return;
            }
            fetch('/api/target/found').then(r => r.json()).then(data => {
                if (data.found && !targetFoundModalShown) {
                    showTargetFoundPopup(data.name, null);
                }
            }).catch(() => {});
        }, 2000);
    }

    function refreshProfiles() {
        fetch('/api/profiles').then(r => r.json()).then(data => {
            const list = document.getElementById('profiles-list');
            if (data.length === 0) {
                list.innerHTML = '<p class="text-gray text-center mt-3">No profiles created yet.</p>';
                return;
            }
            
            list.innerHTML = data.map(p => {
                let colorHtml = '';
                if (p.clothing_colors && p.clothing_colors.length > 0) {
                    const dots = p.clothing_colors.map(c => {
                        const h = c.h * 2;
                        let s = c.s / 255.0;
                        let v = c.v / 255.0;
                        let l = v * (1 - s / 2);
                        let sl = (l === 0 || l === 1) ? 0 : (v - l) / Math.min(l, 1 - l);
                        return `<div class="color-dot" style="background-color: hsl(${h}, ${sl*100}%, ${l*100}%)" title="Weight: ${(c.weight*100).toFixed(0)}%"></div>`;
                    }).join('');
                    colorHtml = `<div class="color-dots">${dots}</div>`;
                }
                
                // Height display
                let heightLabel, clampedHeight;
                if (p.height_cm) {
                    clampedHeight = Math.round(p.height_cm);
                    heightLabel = `${clampedHeight} cm`;
                } else {
                    const baseHeight = 170;
                    const heightCm = Math.round(baseHeight + (p.height_ratio - 0.80) * 400);
                    clampedHeight = Math.max(140, Math.min(210, heightCm));
                    heightLabel = `~${clampedHeight} cm`;
                }
                const heightBarPct = Math.round(((clampedHeight - 140) / 70) * 100);
                const heightTag = clampedHeight >= 180 ? "Tall" : (clampedHeight <= 162 ? "Short" : "Average");

                // Gait info
                const gaitCount = p.gait_silhouette_count || 0;
                const hasGait = gaitCount >= 30;
                const gaitColor = hasGait ? 'var(--success)' : 'var(--text-muted)';
                const gaitLabel = hasGait ? `${gaitCount} frames` : (gaitCount > 0 ? `${gaitCount} (need 30+)` : 'None');

                // Modality checklist
                const hasBiomech = !!p.biomech_file;
                const hasAppearance = !!p.appearance_file;
                const hasFace = p.face_count > 0;
                const hasGaitV2 = !!p.gait_v2_file;

                const isActive = activeSearchProfileId === p.id;
                const btnClass = isActive ? "btn-danger-small" : "purple-btn";
                const btnIcon = isActive ? "fa-stop" : "fa-crosshairs";
                const btnText = isActive ? "Stop Search" : "Search Target";
                const cardClass = isActive ? "profile-card active-search" : "profile-card";
                
                return `
                    <div class="${cardClass}" id="profile-${p.id}">
                        <div class="profile-header">
                            <h3><i class="fa-solid fa-user-secret"></i> ${p.name}</h3>
                            <button class="btn btn-danger-small" onclick="deleteProfile('${p.id}')"><i class="fa-solid fa-trash"></i></button>
                        </div>

                        <!-- 6-Modality Signal Grid -->
                        <div class="modality-grid">
                            <div class="modality-chip ${hasFace ? 'mod-active' : 'mod-inactive'}">
                                <i class="fa-solid fa-face-smile"></i>
                                <span>${hasFace ? p.face_count + ' faces' : 'No face'}</span>
                            </div>
                            <div class="modality-chip ${hasGaitV2 ? 'mod-active' : 'mod-inactive'}">
                                <i class="fa-solid fa-person-walking"></i>
                                <span>${hasGait ? gaitLabel : 'No gait'}</span>
                            </div>
                            <div class="modality-chip ${hasBiomech ? 'mod-active' : 'mod-inactive'}">
                                <i class="fa-solid fa-bone"></i>
                                <span>${hasBiomech ? '64-d vector' : 'None'}</span>
                            </div>
                            <div class="modality-chip ${hasAppearance ? 'mod-active' : 'mod-inactive'}">
                                <i class="fa-solid fa-shirt"></i>
                                <span>${hasAppearance ? '512-d OSNet' : 'None'}</span>
                            </div>
                            <div class="modality-chip mod-active">
                                <i class="fa-solid fa-ruler-vertical"></i>
                                <span>${heightLabel} (${heightTag})</span>
                            </div>
                            <div class="modality-chip ${p.clothing_colors && p.clothing_colors.length ? 'mod-active' : 'mod-inactive'}">
                                <i class="fa-solid fa-palette"></i>
                                <span>Clothing</span>
                                ${colorHtml}
                            </div>
                        </div>

                        <div class="height-bar-bg mt-2"><div class="height-bar-fill" style="width:${heightBarPct}%"></div></div>

                        <button class="btn ${btnClass} search-btn mt-3" onclick="toggleSearch('${p.id}')">
                            <i class="fa-solid ${btnIcon}"></i> ${btnText}
                        </button>
                        ${isActive ? '<div class="verify-status-bar" id="verify-status-' + p.id + '"><i class="fa-solid fa-spinner fa-spin"></i> Initializing search...</div>' : ''}
                    </div>
                `;
            }).join('');
        });
    }

    // Call it initially
    refreshProfiles();

    document.getElementById('form-add-profile').addEventListener('submit', e => {
        e.preventDefault();
        const name = document.getElementById('profile-name').value.trim();
        const fileInput = document.getElementById('profile-video');
        if (!name || !fileInput.files.length) return showToast('Provide a name and a video.', 'error');
        
        const fd = new FormData();
        fd.append('name', name);
        fd.append('video', fileInput.files[0]);
        
        const submitBtn = document.getElementById('btn-submit-profile');
        const progContainer = document.getElementById('profile-progress-container');
        const progFill = document.getElementById('profile-progress-fill');
        const progMsg = document.getElementById('profile-status-msg');
        const progPct = document.getElementById('profile-status-pct');
        
        submitBtn.disabled = true;
        progContainer.classList.remove('hidden');
        
        fetch('/api/profile/upload', { method: 'POST', body: fd })
            .then(r => r.json())
            .then(data => {
                if (data.success) {
                    showToast('Video uploaded. Analysis started...');
                    pollProfileStatus(data.job_id);
                } else {
                    showToast(data.error, 'error');
                    submitBtn.disabled = false;
                    progContainer.classList.add('hidden');
                }
            }).catch(e => {
                showToast("Upload failed", "error");
                submitBtn.disabled = false;
                progContainer.classList.add('hidden');
            });
            
        function pollProfileStatus(jobId) {
            const iv = setInterval(() => {
                fetch(`/api/profile/status/${jobId}`)
                    .then(r => r.json())
                    .then(st => {
                        if (st.status === 'error') {
                            clearInterval(iv);
                            showToast(st.message, 'error');
                            resetUploadUI();
                        } else if (st.status === 'not_found') {
                            clearInterval(iv);
                            showToast('Job lost', 'error');
                            resetUploadUI();
                        } else {
                            progFill.style.width = st.progress + '%';
                            progPct.textContent = st.progress + '%';
                            progMsg.textContent = st.message;
                            
                            if (st.status === 'done') {
                                clearInterval(iv);
                                showToast('Profile built successfully!');
                                setTimeout(() => {
                                    resetUploadUI();
                                    document.getElementById('form-add-profile').reset();
                                    document.getElementById('profile-file-name').textContent = 'No video selected';
                                    refreshProfiles();
                                }, 1000);
                            }
                        }
                    }).catch(() => { clearInterval(iv); resetUploadUI(); });
            }, 1000);
        }
        
        function resetUploadUI() {
            submitBtn.disabled = false;
            progContainer.classList.add('hidden');
            progFill.style.width = '0%';
            progPct.textContent = '0%';
        }
    });

    window.deleteProfile = function(id) {
        if (!confirm('Delete this profile?')) return;
        fetch(`/api/delete/profile/${id}`, { method: 'DELETE' }).then(r => r.json()).then(data => {
            if (data.success) {
                showToast('Profile deleted');
                if (activeSearchProfileId === id) activeSearchProfileId = null;
                refreshProfiles();
            } else {
                showToast(data.error, 'error');
            }
        });
    };

    window.toggleSearch = function(id) {
        if (!isCameraActive) {
            showToast('Start recognition first to enable search mode!', 'error');
            return;
        }
        
        if (activeSearchProfileId === id) {
            // Stop search
            fetch('/api/profile/search', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify({ action: 'stop' })
            }).then(() => {
                activeSearchProfileId = null;
                if (targetPollInterval) clearInterval(targetPollInterval);
                if (verifyPollInterval) clearInterval(verifyPollInterval);
                targetFoundModalShown = false;
                refreshProfiles();
                showToast('Search deactivated.');
            });
        } else {
            // Start search
            fetch('/api/profile/search', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: JSON.stringify({ action: 'start', profile_id: id })
            }).then(r => r.json()).then(data => {
                if (data.success) {
                    activeSearchProfileId = id;
                    refreshProfiles();
                    showToast(`\uD83D\uDD0D Target search initiated: ${data.target} \u2014 Scanning...`);
                    startTargetPolling();
                    
                    // Force faces map to view
                    document.getElementById('camera-mode').value = 'faces';
                } else {
                    showToast(data.error, 'error');
                }
            });
        }
    };
});