Download browser_session.py from Sanyam10101/Eye_MosueX: direct link, hf CLI and curl.
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https://huggingface.co/Sanyam10101/Eye_MosueX/resolve/main/browser_session.py
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55.8 kB
| """ | |
| browser_session.py | |
| InsightUX research browser. | |
| Flow: | |
| 1. Window opens on real google.com β search and click through like a | |
| normal browser (no scraping, no fake results β it's just Google). | |
| 2. Land on whatever page you want to study. Press S to start tracking. | |
| 3. Gaze dot + AOI highlighting (same as run_session.py) kicks in and | |
| logs sessions/<timestamp>/gaze_log.jsonl + dom_log.jsonl. | |
| 4. Press E to stop. The window auto-navigates to a generated | |
| analysis_report.html: ranked attention, dwell timeline, heatmap. | |
| Prerequisite: | |
| calibration.pkl must exist in the working directory (run calibrate.py first). | |
| Run: | |
| python browser_session.py | |
| """ | |
| import os | |
| import sys | |
| import json | |
| import time | |
| import math | |
| import threading | |
| from dataclasses import replace | |
| from datetime import datetime | |
| import cv2 | |
| import numpy as np | |
| import webview | |
| import pyautogui | |
| from preprocessing.preprocessing_pipeline import ( | |
| create_face_mesh, | |
| estimate_camera_matrix, | |
| estimate_head_pose, | |
| compute_iris_radius, | |
| compute_ear, | |
| step1_normalize, | |
| step2_illumination, | |
| LEFT_EYE_INDICES, | |
| LEFT_EAR_INDICES, | |
| LEFT_IRIS_INDICES, | |
| RIGHT_EYE_INDICES, | |
| RIGHT_EAR_INDICES, | |
| RIGHT_IRIS_INDICES, | |
| ) | |
| from inference_pipeline import InsightUXPipeline, GazeAngleSmoother | |
| from session_logger import GazeLogger | |
| from analysis import generate_report | |
| # ============================================================================= | |
| # CONFIG β kept identical to run_session.py so calibration.pkl stays valid | |
| # ============================================================================= | |
| ONNX_PATH = "models/gaze_cnn_v4.onnx" | |
| CALIBRATION_PATH = "calibration.pkl" | |
| SCREEN_W, SCREEN_H = pyautogui.size() | |
| PATCH_SOURCE = "blended" | |
| POSE_SMOOTH = 0.65 | |
| MAX_JUMP = 220 | |
| NO_FACE_RESET = 15 | |
| DOM_EVERY = 6 | |
| EURO_MINCUTOFF = 0.35 | |
| EURO_BETA = 0.12 | |
| # Rolling-median window applied to (pitch, yaw) BEFORE the RBF query. | |
| # See GazeAngleSmoother in inference_pipeline.py for why this is essential | |
| # and not merely a nicety. Must match validate.py to stay comparable. | |
| ANGLE_SMOOTH_WINDOW = 10 | |
| POSE_NORM_SCALE = 30.0 | |
| HEAD_PITCH_COMPENSATION = 0.0 # reverted β 0.35 made accuracy worse, not better | |
| HEAD_YAW_COMPENSATION = 0.0 | |
| SESSIONS_ROOT = "sessions" | |
| # The window opens on this local, fully InsightUX-branded page instead of | |
| # raw google.com. What you type here still hits REAL Google β no fake | |
| # results, no scraping β this page is just the visible skin around that | |
| # one redirect step. Typed URLs go straight there instead. | |
| _LANDING_HTML = r"""<!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta name="insightux-landing" content="true"> | |
| <title>InsightUX β Eye-Tracking Research Browser</title> | |
| <style> | |
| * { box-sizing: border-box; } | |
| body { | |
| margin: 0; height: 100vh; display: flex; flex-direction: column; | |
| align-items: center; justify-content: center; | |
| background: radial-gradient(circle at 50% 35%, #221a2e, #100e16 70%); | |
| font-family: -apple-system, 'Segoe UI', Arial, sans-serif; color: #f0ecf7; | |
| } | |
| .logo { | |
| font-size: 42px; font-weight: 700; letter-spacing: -0.01em; | |
| background: linear-gradient(90deg, #9B59FF, #FF2DF0); | |
| -webkit-background-clip: text; -webkit-text-fill-color: transparent; | |
| margin-bottom: 6px; | |
| } | |
| .tagline { color: #8a8098; font-size: 14px; margin-bottom: 36px; } | |
| form { width: 560px; max-width: 88vw; } | |
| input { | |
| width: 100%; padding: 15px 20px; font-size: 15px; border-radius: 26px; | |
| border: 1.5px solid #3a3348; background: #1c1826; color: #f0ecf7; | |
| outline: none; transition: border-color 0.15s; | |
| } | |
| input:focus { border-color: #9B59FF; } | |
| input::placeholder { color: #635a72; } | |
| .hint { | |
| margin-top: 18px; font-size: 12px; color: #6b6278; text-align: center; | |
| line-height: 1.6; | |
| } | |
| .hint b { color: #9B59FF; } | |
| </style> | |
| </head> | |
| <body> | |
| <div class="logo">InsightUX</div> | |
| <div class="tagline">Eye-Tracking Research Browser</div> | |
| <form id="searchForm"> | |
| <input id="searchInput" type="text" autofocus | |
| placeholder="Search Google, or enter a website address"> | |
| </form> | |
| <div class="hint"> | |
| Search results and websites open below as normal.<br> | |
| Once you land on the page you want to study, press <b>S</b> to start eye-tracking, | |
| <b>E</b> to stop. | |
| </div> | |
| <script> | |
| document.getElementById('searchForm').addEventListener('submit', function(e){ | |
| e.preventDefault(); | |
| const raw = document.getElementById('searchInput').value.trim(); | |
| if (!raw) return; | |
| const looksLikeUrl = /^https?:\/\//i.test(raw) || | |
| (/^[\w-]+(\.[\w-]+)+([/?#].*)?$/i.test(raw) && !raw.includes(' ')); | |
| if (looksLikeUrl) { | |
| window.location.href = raw.startsWith('http') ? raw : ('https://' + raw); | |
| } else { | |
| window.location.href = 'https://www.google.com/search?q=' + encodeURIComponent(raw); | |
| } | |
| }); | |
| </script> | |
| </body> | |
| </html> | |
| """ | |
| def _write_landing_page(): | |
| path = os.path.abspath("insightux_landing.html") | |
| with open(path, "w", encoding="utf-8") as f: | |
| f.write(_LANDING_HTML) | |
| return "file://" + path.replace(os.sep, "/") | |
| LANDING_URL = _write_landing_page() | |
| def normalize_pose(pitch_deg, yaw_deg, roll_deg): | |
| return np.array([ | |
| pitch_deg / POSE_NORM_SCALE, | |
| yaw_deg / POSE_NORM_SCALE, | |
| roll_deg / POSE_NORM_SCALE, | |
| ], dtype=np.float32) | |
| def compensate_pitch(raw_pitch, head_pitch_deg): | |
| return raw_pitch - np.radians(head_pitch_deg) * HEAD_PITCH_COMPENSATION | |
| def compensate_yaw(raw_yaw, head_yaw_deg): | |
| return raw_yaw - np.radians(head_yaw_deg) * HEAD_YAW_COMPENSATION | |
| # ============================================================================= | |
| # ONE EURO FILTER (display smoothing only) | |
| # ============================================================================= | |
| class OneEuroFilter: | |
| def __init__(self, mincutoff=0.8, beta=0.4, dcutoff=1.0): | |
| self.mincutoff = mincutoff | |
| self.beta = beta | |
| self.dcutoff = dcutoff | |
| self.x_prev = None | |
| self.dx_prev = 0.0 | |
| self.t_prev = None | |
| def _alpha(cutoff, dt): | |
| tau = 1.0 / (2 * math.pi * cutoff) | |
| return 1.0 / (1.0 + tau / dt) | |
| def __call__(self, x, t): | |
| if self.x_prev is None: | |
| self.x_prev, self.t_prev = x, t | |
| return x | |
| dt = t - self.t_prev | |
| if dt <= 0: | |
| dt = 1e-3 | |
| self.t_prev = t | |
| dx = (x - self.x_prev) / dt | |
| a_d = self._alpha(self.dcutoff, dt) | |
| dx_hat = a_d * dx + (1 - a_d) * self.dx_prev | |
| cutoff = self.mincutoff + self.beta * abs(dx_hat) | |
| a = self._alpha(cutoff, dt) | |
| x_hat = a * x + (1 - a) * self.x_prev | |
| self.x_prev, self.dx_prev = x_hat, dx_hat | |
| return x_hat | |
| def reset(self): | |
| self.x_prev = None | |
| self.dx_prev = 0.0 | |
| self.t_prev = None | |
| # ============================================================================= | |
| # JS: control widget (always present) β search hint + S/Esc keybindings | |
| # ============================================================================= | |
| CONTROL_JS = r""" | |
| (function(){ | |
| if (window.__insightuxControl) { return; } | |
| window.__insightuxControl = true; | |
| // S/E (start/stop tracking) only make sense on an actual website β not on | |
| // the InsightUX landing/search page and not on a generated insights | |
| // report page. X (quit the app) always works, on every page. | |
| const isLanding = !!document.querySelector('meta[name="insightux-landing"]'); | |
| const isReport = !!document.querySelector('meta[name="insightux-report"]'); | |
| const isTrackable = !isLanding && !isReport; | |
| if (isTrackable) { | |
| const banner = document.createElement('div'); | |
| banner.id = '__insightux_pill'; | |
| banner.style.cssText = ` | |
| position:fixed; top:0; left:0; right:0; z-index:2147483647; | |
| display:flex; align-items:center; justify-content:space-between; | |
| padding:7px 16px; font:12px -apple-system,Arial; | |
| background:linear-gradient(90deg, rgba(20,18,26,0.95), rgba(30,20,40,0.95)); | |
| border-bottom:2px solid; border-image:linear-gradient(90deg,#7B2FBE,#FF2DF0) 1; | |
| box-shadow:0 3px 14px rgba(0,0,0,0.35); pointer-events:none; | |
| `; | |
| banner.innerHTML = ` | |
| <span style="display:flex;align-items:center;gap:7px;"> | |
| <span style="width:8px;height:8px;border-radius:50%;background:linear-gradient(135deg,#7B2FBE,#FF2DF0);display:inline-block;"></span> | |
| <b style="color:#f0ecf7;letter-spacing:0.02em;">InsightUX</b> | |
| <span style="color:#7a7288;">Eye + Mouse Research Browser</span> | |
| </span> | |
| <span id="__insightux_status" style="color:#c9a6f5;">Press S to start tracking · E to stop · H heatmap · M mouse panel · X quit</span> | |
| `; | |
| document.documentElement.appendChild(banner); | |
| setInterval(function(){ | |
| if (!document.documentElement.contains(banner)) document.documentElement.appendChild(banner); | |
| }, 1000); | |
| } | |
| const statusEl = () => document.getElementById('__insightux_status'); | |
| window.insightuxSetStatus = function(text){ | |
| const el = statusEl(); | |
| if (el) el.textContent = text; | |
| }; | |
| function isTypingTarget(el){ | |
| if (!el) return false; | |
| const tag = el.tagName ? el.tagName.toLowerCase() : ''; | |
| return tag === 'input' || tag === 'textarea' || tag === 'select' || | |
| el.isContentEditable === true; | |
| } | |
| document.addEventListener('keydown', function(e){ | |
| const typingBlocked = isTypingTarget(e.target) || isTypingTarget(document.activeElement); | |
| const apiReady = !!(window.pywebview && window.pywebview.api); | |
| if (e.key === 'x' || e.key === 'X') { | |
| if (typingBlocked || !apiReady) return; | |
| window.pywebview.api.quit_app(); | |
| return; | |
| } | |
| if (!isTrackable) return; // S/E do nothing on the landing page or a report page | |
| if (e.key === 's' || e.key === 'S' || e.key === 'e' || e.key === 'E') { | |
| console.log('[insightux] key=' + e.key, 'typingBlocked=' + typingBlocked, 'apiReady=' + apiReady, 'focusedEl=' + (document.activeElement && document.activeElement.tagName)); | |
| } | |
| if (!apiReady) return; | |
| if (typingBlocked) { | |
| window.insightuxSetStatus("Click somewhere on the page (not a text field) before pressing S/E"); | |
| return; | |
| } | |
| if (e.key === 's' || e.key === 'S') { | |
| window.pywebview.api.start_tracking(); | |
| } else if (e.key === 'e' || e.key === 'E') { | |
| window.pywebview.api.stop_tracking(); | |
| } | |
| }, true); // capture phase β fires before page scripts can intercept/stop the event | |
| })(); | |
| """ | |
| # JS: tracking overlay (gaze dot + AOI highlighting) β injected only once | |
| # tracking actually starts. Ported directly from run_session.py's JS_SETUP. | |
| TRACKING_JS = r""" | |
| (function(){ | |
| if (window.__insightux) { return; } | |
| const state = { aois: [] }; | |
| const dwell = { pendLabel: null, pendSince: 0, activeLabel: null, emptySince: 0 }; | |
| const DWELL_MS = 420; | |
| const RELEASE_MS = 1200; | |
| let activeBox = null; | |
| const target = { fx: 0.5, fy: 0.5 }; | |
| const dot = { x: null, y: null }; | |
| const DOT_LERP = 0.07; | |
| const cv = document.createElement('canvas'); | |
| cv.id = '__insightux_canvas'; | |
| cv.style.cssText = 'position:fixed;left:0;top:0;width:100vw;height:100vh;pointer-events:none;z-index:2147483646;'; | |
| (document.body || document.documentElement).appendChild(cv); | |
| const ctx = cv.getContext('2d'); | |
| function resize(){ cv.width = window.innerWidth; cv.height = window.innerHeight; } | |
| resize(); | |
| window.addEventListener('resize', resize, {passive:true}); | |
| setInterval(function(){ | |
| if (!document.body.contains(cv)) document.body.appendChild(cv); | |
| }, 1000); | |
| const MIN_W=40, MIN_H=24, MAX_AOIS=90, MAX_SCAN=2500; | |
| const PAD_PX = 90; | |
| const TALL_WRAPPER_H = 220; | |
| const ALWAYS_SELECTOR = "nav, header, footer, img, video, iframe, h1, h2, h3, button, figure, [class*='hero'], [class*='banner'], [class*='card']"; | |
| const TEXT_CONTAINER_SELECTOR = "div, span, section, article, main, aside, p, li"; | |
| function hasOwnText(el){ | |
| for (const node of el.childNodes){ | |
| if (node.nodeType === 3 && node.textContent.trim().length > 2) return true; | |
| } | |
| return false; | |
| } | |
| function labelFor(el){ | |
| if (el.dataset && el.dataset.aoi) return el.dataset.aoi.slice(0,40); | |
| const tag = el.tagName.toLowerCase(); | |
| if (tag==='nav') return 'navbar'; | |
| if (tag==='header') return 'header'; | |
| if (tag==='footer') return 'footer'; | |
| if (tag==='img'){ | |
| const alt=(el.getAttribute('alt')||'').trim(); | |
| if (alt) return 'img: '+alt.slice(0,30); | |
| const src=el.getAttribute('src')||''; | |
| const name=src.split('/').pop().split('?')[0]; | |
| return 'img: '+(name||'image').slice(0,30); | |
| } | |
| if (tag==='video') return 'video'; | |
| if (tag==='iframe') return 'embed'; | |
| if (tag==='h1'||tag==='h2'){ | |
| const t=(el.innerText||'').trim().replace(/\s+/g,' '); | |
| if (t) return tag+': '+t.slice(0,30); | |
| } | |
| const id=el.id?('#'+el.id):''; | |
| let cls=''; | |
| if (el.className && typeof el.className==='string'){ | |
| const f=el.className.trim().split(/\s+/)[0]; | |
| if (f) cls='.'+f; | |
| } | |
| const txt=(el.innerText||'').trim().replace(/\s+/g,' ').slice(0,24); | |
| const base=id||cls||tag; | |
| return txt?(base+' ('+txt+')'):base; | |
| } | |
| function refresh(){ | |
| const vh = window.innerHeight; | |
| const raw = []; | |
| const seen = new Set(); | |
| let full = false; | |
| function consider(el){ | |
| if (full) return; | |
| // Never track InsightUX's own injected UI (the "press S/E" pill, | |
| // the gaze-dot canvas, the mouse tracker panel) as if it were page content. | |
| if (el.id === '__insightux_pill' || el.id === '__insightux_canvas' || el.id === '__insightux_mouse_panel') return; | |
| if (el.closest && el.closest('#__insightux_pill, #__insightux_canvas, #__insightux_mouse_panel')) return; | |
| const tag = el.tagName.toLowerCase(); | |
| const explicit = !!(el.dataset && el.dataset.aoi); | |
| if (!explicit){ | |
| const isAlways = (tag==='nav'||tag==='header'||tag==='footer'||tag==='img'|| | |
| tag==='video'||tag==='iframe'|| | |
| tag==='h1'||tag==='h2'||tag==='h3'||tag==='button'||tag==='figure') || | |
| (el.className && typeof el.className==='string' && | |
| /hero|banner|card/i.test(el.className)); | |
| if (!isAlways && !hasOwnText(el)) return; | |
| } | |
| const r = el.getBoundingClientRect(); | |
| if (r.width<MIN_W || r.height<MIN_H) return; | |
| if (r.bottom<0 || r.top>vh) return; | |
| const label = labelFor(el); | |
| if (!label) return; | |
| const key = label+'@'+Math.round(r.left)+','+Math.round(r.top); | |
| if (seen.has(key)) return; | |
| seen.add(key); | |
| const pos = getComputedStyle(el).position; | |
| raw.push({el:el, label:label, x:Math.round(r.left), y:Math.round(r.top), | |
| w:Math.round(r.width), h:Math.round(r.height), | |
| sticky:(pos==='sticky'||pos==='fixed')}); | |
| if (raw.length >= MAX_AOIS*2) full = true; | |
| } | |
| document.querySelectorAll('[data-aoi]').forEach(consider); | |
| document.querySelectorAll(ALWAYS_SELECTOR).forEach(consider); | |
| const candidates = document.querySelectorAll(TEXT_CONTAINER_SELECTOR); | |
| for (let i=0; i<candidates.length && i<MAX_SCAN && !full; i++){ | |
| consider(candidates[i]); | |
| } | |
| const filtered = raw.filter(o => { | |
| const isTallWrapper = o.h > TALL_WRAPPER_H && | |
| raw.some(o2 => o2 !== o && o.el.contains(o2.el)); | |
| return !isTallWrapper; | |
| }); | |
| state.aois = filtered.slice(0, MAX_AOIS).map(o => ({ | |
| label:o.label, x:o.x, y:o.y, w:o.w, h:o.h, sticky:o.sticky | |
| })); | |
| } | |
| refresh(); | |
| window.addEventListener('scroll', refresh, {passive:true}); | |
| setInterval(refresh, 400); | |
| window.insightuxAOIs = function(){ | |
| return JSON.stringify({ | |
| url: location.href, | |
| scrollX: Math.round(window.scrollX), | |
| scrollY: Math.round(window.scrollY), | |
| viewport:{w:window.innerWidth,h:window.innerHeight}, | |
| page:{w:document.documentElement.scrollWidth,h:document.documentElement.scrollHeight}, | |
| aois: state.aois | |
| }); | |
| }; | |
| window.insightuxUpdate = function(fx, fy){ | |
| target.fx = fx; | |
| target.fy = fy; | |
| }; | |
| function renderLoop(){ | |
| const w = window.innerWidth, h = window.innerHeight; | |
| const tx = target.fx * w, ty = target.fy * h; | |
| if (dot.x === null){ dot.x = tx; dot.y = ty; } | |
| dot.x += (tx - dot.x) * DOT_LERP; | |
| dot.y += (ty - dot.y) * DOT_LERP; | |
| const now = performance.now(); | |
| const px = dot.x, py = dot.y; | |
| let cand = null; | |
| for (const a of state.aois){ | |
| if (px>=a.x-PAD_PX && px<=a.x+a.w+PAD_PX && py>=a.y-PAD_PX && py<=a.y+a.h+PAD_PX){ | |
| if (!cand || (a.w*a.h)<(cand.w*cand.h)) cand = a; | |
| } | |
| } | |
| const candLabel = cand ? cand.label : null; | |
| if (candLabel !== dwell.pendLabel){ dwell.pendLabel = candLabel; dwell.pendSince = now; } | |
| if (cand){ | |
| dwell.emptySince = 0; | |
| if (dwell.activeLabel !== cand.label && (now - dwell.pendSince) >= DWELL_MS){ | |
| dwell.activeLabel = cand.label; | |
| } | |
| } else { | |
| if (dwell.emptySince === 0) dwell.emptySince = now; | |
| if (dwell.activeLabel && (now - dwell.emptySince) >= RELEASE_MS){ | |
| dwell.activeLabel = null; | |
| } | |
| } | |
| let active = null; | |
| if (dwell.activeLabel){ | |
| for (const a of state.aois){ if (a.label === dwell.activeLabel){ active = a; break; } } | |
| if (!active) dwell.activeLabel = null; | |
| } | |
| activeBox = active; | |
| ctx.clearRect(0,0,cv.width,cv.height); | |
| if (activeBox){ | |
| ctx.fillStyle = 'rgba(123,47,190,0.16)'; | |
| ctx.fillRect(activeBox.x, activeBox.y, activeBox.w, activeBox.h); | |
| ctx.strokeStyle = '#7B2FBE'; ctx.lineWidth = 3; | |
| ctx.strokeRect(activeBox.x, activeBox.y, activeBox.w, activeBox.h); | |
| const label = activeBox.label; | |
| ctx.font = 'bold 13px Arial'; | |
| const tw = ctx.measureText(label).width + 16; | |
| const ly = Math.max(0, activeBox.y - 22); | |
| ctx.fillStyle = '#7B2FBE'; | |
| ctx.fillRect(activeBox.x, ly, tw, 20); | |
| ctx.fillStyle = '#FFFFFF'; | |
| ctx.fillText(label, activeBox.x + 8, ly + 14); | |
| } | |
| ctx.beginPath(); | |
| ctx.arc(dot.x, dot.y, 13, 0, 2*Math.PI); | |
| ctx.fillStyle = 'rgba(255,255,255,0.9)'; | |
| ctx.fill(); | |
| ctx.beginPath(); | |
| ctx.arc(dot.x, dot.y, 9, 0, 2*Math.PI); | |
| ctx.fillStyle = '#FF2DF0'; | |
| ctx.fill(); | |
| ctx.lineWidth = 2; | |
| ctx.strokeStyle = 'rgba(0,0,0,0.55)'; | |
| ctx.stroke(); | |
| requestAnimationFrame(renderLoop); | |
| } | |
| requestAnimationFrame(renderLoop); | |
| window.__insightux = true; | |
| })(); | |
| """ | |
| # JS: mouse tracking overlay β ported feature-for-feature from the | |
| # "Mouse Tracker & Heatmap" Chrome extension (Mouse/content.js + background.js | |
| # + popup.js), adapted to run as a single injected script instead of a | |
| # content-script/background/popup trio (pywebview has no extension host). | |
| # Same trail/heatmap/dwell sampling loop, same click interest labeling, same | |
| # heatmap render, plus an in-page panel that replaces the extension's popup | |
| # (Start/Stop/Clear/Toggle Heatmap/View Logs, timer, "Most Viewed Element"). | |
| # ============================================================================= | |
| MOUSE_JS = r""" | |
| (function(){ | |
| if (window.__insightuxMouse) { return; } | |
| window.__insightuxMouse = true; | |
| let isTracking = true; | |
| let canvas = null; | |
| let panelOpen = false; | |
| let logsOpen = false; | |
| // Per-sync buffers (flushed to Python every 2s for on-disk persistence) | |
| let trailBuffer = []; | |
| let heatmapBuffer = []; | |
| let clickBuffer = []; | |
| let dwellBuffer = []; | |
| // Cumulative in-page state (mirrors the extension's background.js state) | |
| let allTrail = []; | |
| let allHeatmap = []; | |
| let allClicks = []; | |
| let dwellTotals = {}; | |
| let sessionStart = Date.now(); | |
| let sessionStop = null; | |
| let lastClientX = 0, lastClientY = 0; | |
| let lastPageX = 0, lastPageY = 0; | |
| let lastSampleTime = 0; | |
| const sampleRate = 50; | |
| const DWELL_THRESHOLD = 5000; | |
| let stationaryStart = 0; | |
| let isStationary = false; | |
| window.insightuxMouseSetTracking = function(on){ | |
| isTracking = !!on; | |
| if (isTracking) { | |
| sessionStart = Date.now(); | |
| sessionStop = null; | |
| } else { | |
| sessionStop = Date.now(); | |
| flushDwell(); | |
| } | |
| updatePanel(); | |
| }; | |
| // ---- sampling loop (trail while moving, heatmap dwell points while still) ---- | |
| setInterval(function(){ | |
| if (!isTracking) return; | |
| const currentScrollX = window.scrollX, currentScrollY = window.scrollY; | |
| if (lastPageX === 0 && lastPageY === 0 && lastClientX !== 0) { | |
| lastPageX = lastClientX + currentScrollX; | |
| lastPageY = lastClientY + currentScrollY; | |
| } | |
| const currentPageX = (lastClientX !== 0) ? (lastClientX + currentScrollX) : lastPageX; | |
| const currentPageY = (lastClientY !== 0) ? (lastClientY + currentScrollY) : lastPageY; | |
| if (currentPageX === 0 && currentPageY === 0) return; | |
| const now = Date.now(); | |
| const dt = now - lastSampleTime; | |
| if (dt > 1000) { lastSampleTime = now; return; } | |
| const dx = currentPageX - lastPageX, dy = currentPageY - lastPageY; | |
| const distance = Math.sqrt(dx * dx + dy * dy); | |
| if (distance > 2) { | |
| const pt = { x: currentPageX, y: currentPageY }; | |
| trailBuffer.push(pt); allTrail.push(pt); | |
| lastPageX = currentPageX; lastPageY = currentPageY; | |
| isStationary = false; stationaryStart = 0; | |
| } else { | |
| if (!isStationary) { isStationary = true; stationaryStart = now; } | |
| else { | |
| const dwellDuration = now - stationaryStart; | |
| if (dwellDuration > DWELL_THRESHOLD) { | |
| const pt = { x: currentPageX, y: currentPageY }; | |
| heatmapBuffer.push(pt); allHeatmap.push(pt); | |
| } | |
| } | |
| } | |
| lastSampleTime = now; | |
| }, sampleRate); | |
| // ---- dwell / element-interest tracking ---- | |
| let currentHoverLabel = null, currentHoverStartTime = 0; | |
| function handleHoverChange(newLabel){ | |
| if (!isTracking) return; | |
| if (newLabel !== currentHoverLabel) { | |
| const now = Date.now(); | |
| if (currentHoverLabel && currentHoverStartTime > 0) { | |
| const duration = now - currentHoverStartTime; | |
| if (duration > 10) recordDwell(currentHoverLabel, duration); | |
| } | |
| currentHoverLabel = newLabel; | |
| currentHoverStartTime = newLabel ? now : 0; | |
| } | |
| } | |
| function recordDwell(element, duration){ | |
| dwellBuffer.push({ element: element, duration: duration }); | |
| dwellTotals[element] = (dwellTotals[element] || 0) + duration; | |
| } | |
| function flushDwell(){ | |
| if (currentHoverLabel && currentHoverStartTime > 0) { | |
| const now = Date.now(); | |
| const duration = now - currentHoverStartTime; | |
| if (duration > 50) recordDwell(currentHoverLabel, duration); | |
| currentHoverStartTime = now; | |
| } | |
| } | |
| // ---- sync to Python every 2s -> mouse_log.jsonl in the session folder ---- | |
| setInterval(function(){ | |
| flushDwell(); | |
| if (trailBuffer.length || heatmapBuffer.length || clickBuffer.length || dwellBuffer.length) { | |
| const payload = { | |
| trail: trailBuffer.length ? trailBuffer : null, | |
| heatmap: heatmapBuffer.length ? heatmapBuffer : null, | |
| click: clickBuffer.length ? clickBuffer : null, | |
| dwell: dwellBuffer.length ? dwellBuffer : null, | |
| }; | |
| trailBuffer = []; heatmapBuffer = []; clickBuffer = []; dwellBuffer = []; | |
| if (window.pywebview && window.pywebview.api && window.pywebview.api.log_mouse_data) { | |
| try { window.pywebview.api.log_mouse_data(payload).catch(function(){}); } catch (e) {} | |
| } | |
| } | |
| updatePanel(); | |
| }, 2000); | |
| // ---- exclude InsightUX's own injected UI from every measurement ---- | |
| // (the status pill, the mouse-tracker panel, the heatmap canvas) β only | |
| // real website elements should ever show up in trail/heatmap/dwell/clicks. | |
| function isOwnUI(el){ | |
| if (!el) return false; | |
| if (el.id === '__insightux_pill' || el.id === '__insightux_canvas' || el.id === '__insightux_mouse_panel') return true; | |
| return !!(el.closest && el.closest('#__insightux_pill, #__insightux_canvas, #__insightux_mouse_panel')); | |
| } | |
| // ---- mouse position + hover tracking ---- | |
| function updateMousePos(e){ | |
| if (isOwnUI(e.target)) return; | |
| lastClientX = e.clientX; lastClientY = e.clientY; | |
| if (lastPageX === 0) lastPageX = e.pageX; | |
| if (lastPageY === 0) lastPageY = e.pageY; | |
| if (isTracking) handleHoverChange(getSmartLabel(e.target)); | |
| } | |
| document.addEventListener('mousemove', updateMousePos, true); | |
| document.addEventListener('mouseenter', updateMousePos, true); | |
| document.addEventListener('mouseover', updateMousePos, true); | |
| document.addEventListener('click', updateMousePos, true); | |
| document.addEventListener('mouseleave', function(){ | |
| lastClientX = 0; lastClientY = 0; | |
| handleHoverChange(null); | |
| }, true); | |
| document.addEventListener('click', function(e){ | |
| if (!isTracking) return; | |
| if (e.target === canvas) return; | |
| if (isOwnUI(e.target)) return; | |
| if (!isInteractable(e.target)) return; | |
| const x = e.pageX, y = e.pageY; | |
| const label = getSmartLabel(e.target) || e.target.tagName; | |
| if (['BODY', 'HTML', 'DIV', 'SPAN'].includes(label) && !e.target.innerText.trim()) return; | |
| const logEntry = { | |
| timestamp: new Date().toLocaleTimeString(), | |
| x: x, y: y, element: label, | |
| text: e.target.innerText ? e.target.innerText.substring(0, 30).replace(/(\r\n|\n|\r)/gm, ' ').trim() : '', | |
| url: window.location.href | |
| }; | |
| clickBuffer.push(logEntry); allClicks.push(logEntry); | |
| if (canvas) drawClick(x, y); | |
| updatePanel(); | |
| }, true); | |
| function isInteractable(el){ | |
| if (!el) return false; | |
| const tag = el.tagName.toLowerCase(); | |
| if (['a', 'button', 'input', 'select', 'textarea', 'details', 'summary', 'label'].includes(tag)) return true; | |
| const role = el.getAttribute('role'); | |
| if (role === 'button' || role === 'link' || role === 'menuitem' || role === 'tab') return true; | |
| try { if (window.getComputedStyle(el).cursor === 'pointer') return true; } catch (e) {} | |
| let parent = el.parentElement, depth = 0; | |
| while (parent && depth < 3) { | |
| const pTag = parent.tagName.toLowerCase(); | |
| if (['a', 'button'].includes(pTag)) return true; | |
| if (parent.getAttribute('role') === 'button') return true; | |
| parent = parent.parentElement; depth++; | |
| } | |
| if (tag === 'code' || tag === 'pre' || el.classList.contains('code') || el.closest('pre')) return true; | |
| return false; | |
| } | |
| function getSmartLabel(el){ | |
| if (!el) return null; | |
| const tag = el.tagName.toLowerCase(); | |
| if (['body', 'html', 'main', 'div', 'span', 'section', 'article'].includes(tag)) { | |
| if (el.id && (el.id.includes('logo') || el.id.includes('wrapper') || el.id.includes('container'))) return null; | |
| if (el.className && typeof el.className === 'string' && | |
| (el.className.toLowerCase().includes('logo') || el.className.toLowerCase().includes('brand'))) return null; | |
| const aria = el.getAttribute('aria-label'); | |
| if (aria) return 'Element: ' + aria; | |
| if (el.children.length === 0) { | |
| const txt = el.innerText.trim(); | |
| if (txt.length > 2 && txt.length < 50 && /[a-zA-Z0-9]/.test(txt)) return 'Element: ' + txt; | |
| } | |
| return null; | |
| } | |
| if (tag === 'a') return 'Link: ' + (el.innerText.trim().substring(0, 30) || 'Link'); | |
| if (tag === 'button') return 'Button: ' + (el.innerText.trim().substring(0, 30) || 'Button'); | |
| if (tag === 'input') return 'Input: ' + (el.placeholder || el.name || el.id || 'Input'); | |
| if (tag === 'textarea') return 'Input: Text Area'; | |
| if (tag === 'img') return 'Image: ' + (el.alt || 'Image'); | |
| if (['h1', 'h2', 'h3', 'h4', 'h5', 'h6'].includes(tag)) return tag.toUpperCase() + ': ' + el.innerText.trim().substring(0, 40); | |
| if (tag === 'code' || tag === 'pre') return 'Code: ' + el.innerText.trim().substring(0, 30); | |
| const text = el.innerText.trim(); | |
| if (text && text.length > 2) { | |
| if (el.classList.contains('code') || el.closest('pre')) return 'Code: ' + text.substring(0, 30); | |
| if (text.toLowerCase().includes('no message found')) return null; | |
| const isHex = /^#[0-9A-F]{6}$/i.test(text) || /^#[0-9A-F]{3}$/i.test(text); | |
| const isColorName = ['red', 'blue', 'green', 'yellow', 'black', 'white', 'orange', 'purple', 'gray', 'grey', 'pink', 'brown', 'cyan', 'magenta'].includes(text.toLowerCase()); | |
| if (isHex || isColorName) return null; | |
| if (text.length > 50) return 'Text: ' + text.substring(0, 47) + '...'; | |
| return 'Text: ' + text; | |
| } | |
| return null; | |
| } | |
| // ---- heatmap overlay canvas (ported 1:1 from the extension) ---- | |
| window.insightuxMouseToggleHeatmap = function(){ | |
| if (canvas) { document.body.removeChild(canvas); canvas = null; return; } | |
| canvas = document.createElement('canvas'); | |
| canvas.style.position = 'absolute'; | |
| canvas.style.top = '0'; canvas.style.left = '0'; | |
| canvas.style.zIndex = '2147483645'; | |
| canvas.style.pointerEvents = 'none'; | |
| canvas.width = Math.max(document.documentElement.scrollWidth, document.body.scrollWidth, document.documentElement.offsetWidth); | |
| canvas.height = Math.max(document.documentElement.scrollHeight, document.body.scrollHeight, document.documentElement.offsetHeight); | |
| document.body.appendChild(canvas); | |
| drawHeatmapHighQuality(allHeatmap, allTrail, allClicks); | |
| }; | |
| function drawClick(x, y){ | |
| if (!canvas) return; | |
| const ctx = canvas.getContext('2d'); | |
| ctx.save(); | |
| ctx.beginPath(); | |
| ctx.strokeStyle = '#00FF00'; ctx.lineWidth = 3; | |
| ctx.shadowColor = 'black'; ctx.shadowBlur = 2; | |
| const size = 10; | |
| ctx.moveTo(x - size, y - size); ctx.lineTo(x + size, y + size); | |
| ctx.moveTo(x + size, y - size); ctx.lineTo(x - size, y + size); | |
| ctx.stroke(); | |
| ctx.beginPath(); ctx.arc(x, y, size + 5, 0, Math.PI * 2); ctx.stroke(); | |
| ctx.restore(); | |
| } | |
| function drawHeatmapHighQuality(heatmapData, trailData, clickData){ | |
| if (!canvas) return; | |
| const ctx = canvas.getContext('2d'); | |
| ctx.clearRect(0, 0, canvas.width, canvas.height); | |
| let allHeatPoints = []; | |
| if (heatmapData && heatmapData.length) allHeatPoints = allHeatPoints.concat(heatmapData); | |
| if (trailData && trailData.length) allHeatPoints = allHeatPoints.concat(trailData); | |
| if (clickData && clickData.length) { | |
| clickData.forEach(function(c){ for (let i = 0; i < 5; i++) allHeatPoints.push({ x: c.x, y: c.y }); }); | |
| } | |
| if (!allHeatPoints.length) return; | |
| const radius = 60; | |
| const brushCanvas = document.createElement('canvas'); | |
| brushCanvas.width = radius * 2; brushCanvas.height = radius * 2; | |
| const brushCtx = brushCanvas.getContext('2d'); | |
| const g = brushCtx.createRadialGradient(radius, radius, 0, radius, radius, radius); | |
| g.addColorStop(0, 'rgba(0, 0, 0, 0.05)'); g.addColorStop(1, 'rgba(0, 0, 0, 0)'); | |
| brushCtx.fillStyle = g; brushCtx.fillRect(0, 0, radius * 2, radius * 2); | |
| allHeatPoints.forEach(function(point){ ctx.drawImage(brushCanvas, point.x - radius, point.y - radius); }); | |
| const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height); | |
| const data = imageData.data; | |
| const gradientMap = createGradientMap(); | |
| for (let i = 0; i < data.length; i += 4) { | |
| const alpha = data[i + 3]; | |
| if (alpha > 0) { | |
| let mapIndex = Math.floor(alpha * 1.5); | |
| if (mapIndex > 255) mapIndex = 255; | |
| const cIndex = mapIndex * 4; | |
| data[i] = gradientMap[cIndex]; data[i + 1] = gradientMap[cIndex + 1]; data[i + 2] = gradientMap[cIndex + 2]; | |
| data[i + 3] = Math.min(255, 150 + alpha); | |
| } | |
| } | |
| ctx.putImageData(imageData, 0, 0); | |
| } | |
| function createGradientMap(){ | |
| const c = document.createElement('canvas'); c.width = 256; c.height = 1; | |
| const ctx = c.getContext('2d'); | |
| const g = ctx.createLinearGradient(0, 0, 256, 0); | |
| g.addColorStop(0.0, 'rgba(0, 0, 255, 0)'); | |
| g.addColorStop(0.1, 'rgba(0, 0, 255, 1)'); | |
| g.addColorStop(0.4, 'rgba(0, 255, 255, 1)'); | |
| g.addColorStop(0.6, 'rgba(0, 255, 0, 1)'); | |
| g.addColorStop(0.8, 'rgba(255, 255, 0, 1)'); | |
| g.addColorStop(1.0, 'rgba(255, 0, 0, 1)'); | |
| ctx.fillStyle = g; ctx.fillRect(0, 0, 256, 1); | |
| return ctx.getImageData(0, 0, 256, 1).data; | |
| } | |
| window.addEventListener('resize', function(){ | |
| if (canvas) { | |
| canvas.width = Math.max(document.documentElement.scrollWidth, document.body.scrollWidth, document.documentElement.offsetWidth); | |
| canvas.height = Math.max(document.documentElement.scrollHeight, document.body.scrollHeight, document.documentElement.offsetHeight); | |
| } | |
| }); | |
| // ---- insights panel: in-page port of the extension's popup.html/popup.js ---- | |
| const style = document.createElement('style'); | |
| style.textContent = ` | |
| #__insightux_mouse_panel { | |
| position: fixed; top: 44px; right: 16px; width: 260px; z-index: 2147483647; | |
| background: linear-gradient(180deg, rgba(28,24,38,0.97), rgba(20,18,26,0.97)); | |
| border: 1px solid #3a3348; border-radius: 12px; box-shadow: 0 8px 28px rgba(0,0,0,0.45); | |
| font: 12px -apple-system, 'Segoe UI', Arial; color: #f0ecf7; padding: 14px; | |
| pointer-events: auto; display: none; | |
| } | |
| #__insightux_mouse_panel.open { display: block; } | |
| #__insightux_mouse_panel h3 { margin: 0 0 8px 0; font-size: 13px; color: #f0ecf7; | |
| display:flex; align-items:center; justify-content:space-between; } | |
| #__insightux_mouse_panel .muted { color: #9a92ad; font-size: 11px; } | |
| #__insightux_mouse_panel .row { display: flex; gap: 6px; margin-bottom: 8px; flex-wrap: wrap; } | |
| #__insightux_mouse_panel button { | |
| flex: 1 1 auto; padding: 6px 8px; font-size: 11px; border-radius: 6px; border: 1px solid #3a3348; | |
| background: #241f2e; color: #f0ecf7; cursor: pointer; | |
| } | |
| #__insightux_mouse_panel button:hover { background: #302a3d; } | |
| #__insightux_mouse_panel .timer { font-weight: 600; margin-bottom: 6px; } | |
| #__insightux_mouse_panel .hero { | |
| background: rgba(123,47,190,0.15); border: 1px solid #7B2FBE; border-radius: 8px; | |
| padding: 8px; text-align: center; margin-bottom: 8px; | |
| } | |
| #__insightux_mouse_panel .hero .lbl { font-size: 9px; text-transform: uppercase; color: #c9a6f5; letter-spacing: 0.05em; } | |
| #__insightux_mouse_panel .hero .el { font-weight: 600; margin: 3px 0; color: #FF2DF0; } | |
| #__insightux_mouse_panel .interest-item, #__insightux_mouse_panel .log-item { | |
| background: #241f2e; border-radius: 6px; padding: 5px 7px; margin-bottom: 4px; font-size: 11px; | |
| } | |
| #__insightux_mouse_panel .list { max-height: 160px; overflow-y: auto; } | |
| `; | |
| document.head.appendChild(style); | |
| const panel = document.createElement('div'); | |
| panel.id = '__insightux_mouse_panel'; | |
| panel.innerHTML = ` | |
| <h3>Mouse Tracker <span class="muted" id="__mt_status">idle</span></h3> | |
| <div class="timer" id="__mt_timer">Session Time: 00:00</div> | |
| <div class="row"> | |
| <button id="__mt_clear">Clear</button> | |
| <button id="__mt_heatmap">Heatmap</button> | |
| <button id="__mt_logs">Logs</button> | |
| </div> | |
| <div id="__mt_hero" class="hero" style="display:none;"> | |
| <div class="lbl">Most Viewed Element</div> | |
| <div class="el" id="__mt_hero_el">-</div> | |
| <div id="__mt_hero_time">0s</div> | |
| </div> | |
| <div id="__mt_interests" class="list"></div> | |
| <div id="__mt_logs_list" class="list" style="display:none;"></div> | |
| `; | |
| document.documentElement.appendChild(panel); | |
| document.getElementById('__mt_clear').addEventListener('click', function(){ | |
| trailBuffer = []; heatmapBuffer = []; clickBuffer = []; dwellBuffer = []; | |
| allTrail = []; allHeatmap = []; allClicks = []; dwellTotals = {}; | |
| sessionStart = Date.now(); sessionStop = null; | |
| if (canvas) { document.body.removeChild(canvas); canvas = null; } | |
| updatePanel(); | |
| }); | |
| document.getElementById('__mt_heatmap').addEventListener('click', function(){ window.insightuxMouseToggleHeatmap(); }); | |
| document.getElementById('__mt_logs').addEventListener('click', function(){ | |
| logsOpen = !logsOpen; | |
| document.getElementById('__mt_logs_list').style.display = logsOpen ? 'block' : 'none'; | |
| document.getElementById('__mt_interests').style.display = logsOpen ? 'none' : 'block'; | |
| updatePanel(); | |
| }); | |
| window.insightuxMouseTogglePanel = function(){ | |
| panelOpen = !panelOpen; | |
| panel.classList.toggle('open', panelOpen); | |
| if (panelOpen) updatePanel(); | |
| }; | |
| function formatTime(ms){ return Math.round(ms / 1000) + 's'; } | |
| function updatePanel(){ | |
| if (!panelOpen) return; | |
| document.getElementById('__mt_status').textContent = isTracking ? 'tracking' : 'stopped'; | |
| const startTs = sessionStart; | |
| const diff = isTracking ? Math.floor((Date.now() - startTs) / 1000) | |
| : (sessionStop ? Math.floor((sessionStop - startTs) / 1000) : 0); | |
| const mins = Math.floor(diff / 60).toString().padStart(2, '0'); | |
| const secs = (diff % 60).toString().padStart(2, '0'); | |
| document.getElementById('__mt_timer').textContent = 'Session Time: ' + mins + ':' + secs; | |
| const interests = Object.entries(dwellTotals).map(function(e){ return { element: e[0], duration: e[1] }; }) | |
| .sort(function(a, b){ return b.duration - a.duration; }).slice(0, 6); | |
| const hero = document.getElementById('__mt_hero'); | |
| if (interests.length) { | |
| hero.style.display = 'block'; | |
| document.getElementById('__mt_hero_el').textContent = interests[0].element; | |
| document.getElementById('__mt_hero_time').textContent = formatTime(interests[0].duration); | |
| } else { | |
| hero.style.display = 'none'; | |
| } | |
| const interestsEl = document.getElementById('__mt_interests'); | |
| if (!logsOpen) { | |
| if (interests.length > 1) { | |
| interestsEl.innerHTML = interests.slice(1).map(function(it, i){ | |
| return '<div class="interest-item">' + (i + 2) + '. <b>' + it.element + '</b> β ' + formatTime(it.duration) + '</div>'; | |
| }).join(''); | |
| } else { | |
| interestsEl.innerHTML = '<div class="muted">No other interests yet.</div>'; | |
| } | |
| } | |
| const logsEl = document.getElementById('__mt_logs_list'); | |
| if (logsOpen) { | |
| if (allClicks.length) { | |
| logsEl.innerHTML = allClicks.slice().reverse().slice(0, 20).map(function(l){ | |
| return '<div class="log-item"><span class="muted">' + l.timestamp + '</span><br><b>' + l.element + '</b><br>"' + l.text + '"</div>'; | |
| }).join(''); | |
| } else { | |
| logsEl.innerHTML = '<div class="muted">No clicks recorded.</div>'; | |
| } | |
| } | |
| } | |
| setInterval(updatePanel, 1000); | |
| // ---- hotkeys: H = toggle heatmap, M = toggle insights panel ---- | |
| function isTypingTarget(el){ | |
| if (!el) return false; | |
| const tag = el.tagName ? el.tagName.toLowerCase() : ''; | |
| return tag === 'input' || tag === 'textarea' || tag === 'select' || el.isContentEditable === true; | |
| } | |
| document.addEventListener('keydown', function(e){ | |
| const typingBlocked = isTypingTarget(e.target) || isTypingTarget(document.activeElement); | |
| if (typingBlocked) return; | |
| if (e.key === 'h' || e.key === 'H') window.insightuxMouseToggleHeatmap(); | |
| else if (e.key === 'm' || e.key === 'M') window.insightuxMouseTogglePanel(); | |
| }, true); | |
| updatePanel(); | |
| })(); | |
| """ | |
| # ============================================================================= | |
| # API exposed to JS β start/stop/quit are the entry points | |
| # ============================================================================= | |
| # Pages tracking must never start on, checked against window.get_current_url() | |
| # as a Python-side backstop to CONTROL_JS's isTrackable check (belt and | |
| # suspenders β the JS guard can't run before the JS bridge is up). | |
| _NON_TRACKABLE_URL_MARKERS = ("insightux_landing.html", "analysis_report.html") | |
| class Api: | |
| def __init__(self): | |
| self.window = None | |
| self.tracking = False | |
| self.stop_event = threading.Event() | |
| self.thread = None | |
| self.mouse_log_f = None | |
| self.mouse_close_timer = None | |
| def start_tracking(self): | |
| print("[browser_session] start_tracking() called from JS") | |
| if self.tracking: | |
| print("[browser_session] already tracking, ignoring") | |
| return False | |
| try: | |
| current_url = self.window.get_current_url() or "" | |
| except Exception: | |
| current_url = "" | |
| if any(marker in current_url for marker in _NON_TRACKABLE_URL_MARKERS): | |
| print(f"[browser_session] refusing to start on non-website page: {current_url}") | |
| self._set_status("Start tracking only works on a website β search or open a page first.") | |
| return False | |
| if not os.path.exists(CALIBRATION_PATH): | |
| print(f"[browser_session] no {CALIBRATION_PATH} found β run calibrate.py first") | |
| self._set_status("No calibration.pkl found β run calibrate.py first.") | |
| return False | |
| self.tracking = True | |
| self.stop_event.clear() | |
| session_dir = os.path.join(SESSIONS_ROOT, datetime.now().strftime("%Y%m%d_%H%M%S")) | |
| os.makedirs(session_dir, exist_ok=True) | |
| print(f"[browser_session] starting tracking thread -> {session_dir}") | |
| self._inject_tracking_overlay() | |
| self._inject_mouse_overlay() | |
| self._open_mouse_log(session_dir) | |
| self._set_mouse_tracking(True) | |
| self._set_status("Recording gaze + mouse... Press E to stop, H for heatmap, M for mouse panel") | |
| self.thread = threading.Thread( | |
| target=gaze_worker, args=(self.window, self.stop_event, session_dir, self), | |
| daemon=True | |
| ) | |
| self.thread.start() | |
| return True | |
| def stop_tracking(self): | |
| print("[browser_session] stop_tracking() called from JS") | |
| if not self.tracking: | |
| print("[browser_session] not currently tracking, ignoring") | |
| return False | |
| self._set_status("Wrapping up your session...") | |
| self._set_mouse_tracking(False) | |
| self.stop_event.set() | |
| # Give the page a moment to flush its last batch of mouse data over | |
| # log_mouse_data() before the file handle is closed. | |
| if self.mouse_close_timer: | |
| self.mouse_close_timer.cancel() | |
| self.mouse_close_timer = threading.Timer(2.5, self._close_mouse_log) | |
| self.mouse_close_timer.daemon = True | |
| self.mouse_close_timer.start() | |
| return True | |
| def quit_app(self): | |
| # X is an emergency kill switch, not a graceful shutdown β the user | |
| # wants the terminal process gone immediately, camera/threads and all. | |
| print("[browser_session] quit_app() called from JS -- terminating process") | |
| os._exit(0) | |
| def _inject_tracking_overlay(self): | |
| try: | |
| self.window.evaluate_js(TRACKING_JS) | |
| except Exception as e: | |
| print(f"[browser_session] overlay inject failed: {e}") | |
| def _inject_mouse_overlay(self): | |
| try: | |
| self.window.evaluate_js(MOUSE_JS) | |
| except Exception as e: | |
| print(f"[browser_session] mouse overlay inject failed: {e}") | |
| def _set_mouse_tracking(self, on): | |
| try: | |
| flag = "true" if on else "false" | |
| self.window.evaluate_js( | |
| f"window.insightuxMouseSetTracking && window.insightuxMouseSetTracking({flag})" | |
| ) | |
| except Exception: | |
| pass | |
| def _open_mouse_log(self, session_dir): | |
| self._close_mouse_log() | |
| path = os.path.join(session_dir, "mouse_log.jsonl") | |
| try: | |
| self.mouse_log_f = open(path, "w", buffering=1) | |
| self.mouse_log_f.write(json.dumps({"type": "meta", "t": round(time.time(), 4)}) + "\n") | |
| print(f"[browser_session] writing mouse stream to {path}") | |
| except Exception as e: | |
| print(f"[browser_session] could not open mouse log: {e}") | |
| self.mouse_log_f = None | |
| def _close_mouse_log(self): | |
| if self.mouse_log_f: | |
| try: | |
| self.mouse_log_f.close() | |
| print("[browser_session] mouse log closed") | |
| except Exception: | |
| pass | |
| self.mouse_log_f = None | |
| def log_mouse_data(self, payload): | |
| """Called from the injected Mouse Tracker overlay (MOUSE_JS) roughly | |
| every 2s while tracking, with a batch of trail / heatmap / click / | |
| dwell records β same cadence as the extension's background.js sync | |
| loop, just persisted to mouse_log.jsonl instead of chrome.storage.""" | |
| if not self.mouse_log_f: | |
| return False | |
| try: | |
| rec = dict(payload) if isinstance(payload, dict) else {} | |
| rec["type"] = "mouse_batch" | |
| rec["t"] = round(time.time(), 4) | |
| self.mouse_log_f.write(json.dumps(rec) + "\n") | |
| except Exception as e: | |
| print(f"[browser_session] mouse log write failed: {e}") | |
| return True | |
| def _set_status(self, text): | |
| try: | |
| self.window.evaluate_js(f"window.insightuxSetStatus && window.insightuxSetStatus({json.dumps(text)})") | |
| except Exception: | |
| pass | |
| api = Api() | |
| def inject_control(window): | |
| try: | |
| window.evaluate_js(CONTROL_JS) | |
| except Exception as e: | |
| print(f"[browser_session] control inject failed (will retry): {e}") | |
| # ============================================================================= | |
| # GAZE WORKER β runs in a background thread, started/stopped via Api | |
| # ============================================================================= | |
| def gaze_worker(window, stop_event, session_dir, api_ref): | |
| pipeline = InsightUXPipeline(ONNX_PATH, CALIBRATION_PATH) | |
| face_mesh = create_face_mesh(static_image_mode=False) | |
| cap = cv2.VideoCapture(0) | |
| logger = GazeLogger(SCREEN_W, SCREEN_H, session_dir=session_dir) | |
| dom_path = os.path.join(session_dir, "dom_log.jsonl") | |
| dom_f = open(dom_path, "w", buffering=1) | |
| screens_dir = os.path.join(session_dir, "screenshots") | |
| os.makedirs(screens_dir, exist_ok=True) | |
| shot_count = 0 | |
| last_shot_scroll = None | |
| last_shot_time = 0.0 | |
| SCROLL_SHOT_THRESHOLD = 60 # px scrolled before a new snapshot is worth taking | |
| MAX_SHOT_INTERVAL = 2.5 # seconds β take one anyway if you just sit still | |
| def maybe_capture_screenshot(scroll_y): | |
| """Grab a full-screen shot when the page has scrolled enough, or | |
| periodically even if it hasn't β this is what lets the report show | |
| the heatmap ON TOP of the actual page instead of floating in a void.""" | |
| nonlocal shot_count, last_shot_scroll, last_shot_time | |
| now = time.time() | |
| scrolled_enough = last_shot_scroll is None or abs(scroll_y - last_shot_scroll) >= SCROLL_SHOT_THRESHOLD | |
| time_elapsed = (now - last_shot_time) >= MAX_SHOT_INTERVAL | |
| if not (scrolled_enough or time_elapsed): | |
| return None | |
| try: | |
| img = pyautogui.screenshot() | |
| # Force to the same pixel space as gaze coordinates (SCREEN_W x | |
| # SCREEN_H) β Windows DPI scaling can otherwise return a | |
| # screenshot at a different resolution than pyautogui.size(), | |
| # which would silently misalign every heatmap point. | |
| if img.size != (SCREEN_W, SCREEN_H): | |
| img = img.resize((SCREEN_W, SCREEN_H)) | |
| shot_name = f"shot_{shot_count:04d}.png" | |
| img.save(os.path.join(screens_dir, shot_name)) | |
| shot_count += 1 | |
| last_shot_scroll = scroll_y | |
| last_shot_time = now | |
| return f"screenshots/{shot_name}" | |
| except Exception as e: | |
| print(f"[browser_session] screenshot capture failed: {e}") | |
| return None | |
| print(f"[browser_session] tracking started -> {session_dir}") | |
| cam_matrix = None | |
| last_x = SCREEN_W / 2 | |
| last_y = SCREEN_H / 2 | |
| fil_x = OneEuroFilter(mincutoff=EURO_MINCUTOFF, beta=EURO_BETA) | |
| fil_y = OneEuroFilter(mincutoff=EURO_MINCUTOFF, beta=EURO_BETA) | |
| angle_smoother = GazeAngleSmoother(window=ANGLE_SMOOTH_WINDOW) | |
| sm_pitch = sm_yaw = sm_roll = None | |
| no_face_count = 0 | |
| frame_i = 0 | |
| while not stop_event.is_set(): | |
| ret, frame = cap.read() | |
| if not ret: | |
| break | |
| if cam_matrix is None: | |
| cam_matrix = estimate_camera_matrix(frame.shape) | |
| rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB) | |
| results = face_mesh.process(rgb) | |
| if not results.multi_face_landmarks: | |
| no_face_count += 1 | |
| if no_face_count >= NO_FACE_RESET: | |
| last_x, last_y = SCREEN_W / 2, SCREEN_H / 2 | |
| fil_x.reset(); fil_y.reset() | |
| angle_smoother.reset() | |
| sm_pitch = sm_yaw = sm_roll = None | |
| no_face_count = 0 | |
| continue | |
| no_face_count = 0 | |
| lms = results.multi_face_landmarks[0].landmark | |
| head_pose = estimate_head_pose(lms, frame.shape, cam_matrix) | |
| if head_pose is None: | |
| continue | |
| if sm_pitch is None: | |
| sm_pitch, sm_yaw, sm_roll = head_pose.pitch, head_pose.yaw, head_pose.roll | |
| else: | |
| b = POSE_SMOOTH | |
| sm_pitch = b*sm_pitch + (1-b)*head_pose.pitch | |
| sm_yaw = b*sm_yaw + (1-b)*head_pose.yaw | |
| sm_roll = b*sm_roll + (1-b)*head_pose.roll | |
| head_pose = replace(head_pose, pitch=sm_pitch, yaw=sm_yaw, roll=sm_roll) | |
| pose_vec = normalize_pose(sm_pitch, sm_yaw, sm_roll) | |
| # Eye aperture β the vertical cue. Calibration decides whether this or | |
| # the CNN's pitch actually tracks screen-Y, and uses the better one. | |
| ear_now = 0.5 * (compute_ear(lms, LEFT_EAR_INDICES, frame.shape) + | |
| compute_ear(lms, RIGHT_EAR_INDICES, frame.shape)) | |
| def get_patch(eye_idx, ear_idx, iris_idx): | |
| s1 = step1_normalize(frame, lms, head_pose, eye_idx, ear_idx, iris_idx) | |
| if not s1.is_open: | |
| return None | |
| if PATCH_SOURCE == "norm": | |
| return s1.norm_crop | |
| ir = compute_iris_radius(lms, iris_idx, frame.shape) | |
| s2 = step2_illumination(s1, ir) | |
| return s2.blended if s2.is_usable else None | |
| left_patch = get_patch(LEFT_EYE_INDICES, LEFT_EAR_INDICES, LEFT_IRIS_INDICES) | |
| right_patch = get_patch(RIGHT_EYE_INDICES, RIGHT_EAR_INDICES, RIGHT_IRIS_INDICES) | |
| if left_patch is None and right_patch is None: | |
| continue | |
| if left_patch is None: left_patch = right_patch | |
| if right_patch is None: right_patch = left_patch | |
| _, _, raw_pitch, raw_yaw = pipeline.predict_gaze_vector(left_patch, pose_vec, right_patch) | |
| pitch = compensate_pitch(raw_pitch, sm_pitch) | |
| yaw = compensate_yaw(raw_yaw, sm_yaw) | |
| # Smooth the ANGLES before the RBF sees them. The RBF amplifies input | |
| # noise (steep gradient along the low-variance pitch axis), so noise | |
| # must be removed here β smoothing the screen coords afterwards cannot | |
| # undo amplification that already happened through a nonlinear map. | |
| pitch, yaw, ear_s = angle_smoother(pitch, yaw, ear_now) | |
| sx, sy = pipeline.calibration.predict(pitch, yaw, ear_s) | |
| sx = max(0.0, min(sx, SCREEN_W)) | |
| sy = max(0.0, min(sy, SCREEN_H)) | |
| jump = np.hypot(sx - last_x, sy - last_y) | |
| if jump > MAX_JUMP: | |
| sx = last_x + (sx - last_x) * 0.3 | |
| sy = last_y + (sy - last_y) * 0.3 | |
| last_x, last_y = sx, sy | |
| logger.log(sx, sy) | |
| now = time.time() | |
| fx = fil_x(sx / SCREEN_W, now) | |
| fy = fil_y(sy / SCREEN_H, now) | |
| try: | |
| window.evaluate_js(f"window.insightuxUpdate({fx:.5f},{fy:.5f})") | |
| except Exception: | |
| pass | |
| frame_i += 1 | |
| if frame_i % DOM_EVERY == 0: | |
| try: | |
| raw = window.evaluate_js("window.insightuxAOIs()") | |
| if raw: | |
| rec = json.loads(raw) | |
| rec["type"] = "dom" | |
| rec["t"] = round(time.time(), 4) | |
| shot_ref = maybe_capture_screenshot(rec.get("scrollY", 0)) | |
| if shot_ref: | |
| rec["screenshot"] = shot_ref | |
| dom_f.write(json.dumps(rec) + "\n") | |
| except Exception: | |
| pass | |
| time.sleep(0.005) | |
| cap.release() | |
| logger.close() | |
| dom_f.close() | |
| print(f"[browser_session] session saved in {session_dir}") | |
| # generate report and hand control back | |
| try: | |
| report_path = generate_report(session_dir) | |
| api_ref.tracking = False | |
| window.load_url("file://" + report_path) | |
| print(f"[browser_session] report ready -> {report_path}") | |
| except Exception as e: | |
| print(f"[browser_session] report generation failed: {e}") | |
| api_ref.tracking = False | |
| # ============================================================================= | |
| # MAIN | |
| # ============================================================================= | |
| def _go_fullscreen(window): | |
| # Small delay so WebView2 fully initializes and grabs keyboard focus | |
| # BEFORE going fullscreen. Passing fullscreen=True straight to | |
| # create_window is what causes the "can't type" issue and the | |
| # AccessibilityObject.Bounds recursion crash on Windows β both trace | |
| # back to the WinForms host not finishing its focus/accessibility | |
| # setup before the fullscreen transition happens. | |
| time.sleep(0.4) | |
| try: | |
| window.toggle_fullscreen() | |
| except Exception as e: | |
| print(f"[browser_session] fullscreen toggle failed: {e}") | |
| if __name__ == "__main__": | |
| os.makedirs(SESSIONS_ROOT, exist_ok=True) | |
| window = webview.create_window( | |
| "InsightUX β Eye-Tracking Research Browser", LANDING_URL, | |
| width=SCREEN_W, height=SCREEN_H, js_api=api | |
| ) | |
| api.window = window | |
| window.events.loaded += lambda: inject_control(window) | |
| window.events.shown += lambda: threading.Thread( | |
| target=_go_fullscreen, args=(window,), daemon=True | |
| ).start() | |
| # debug=True enables right-click > Inspect (DevTools) so you can see | |
| # the [insightux] console.log diagnostics from CONTROL_JS directly β | |
| # keyboard handling runs entirely in the browser, so JS-side issues | |
| # never show up in this terminal, only in DevTools' Console tab. | |
| webview.start(debug=True) |