browser/browser_session.py

"""
browser_session.py
InsightUX research browser.

Flow:
    1. Window opens on real google.com — search and click through like a
       normal browser (no scraping, no fake results — 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

APP_WINDOW = None

from preprocessing.preprocessing_pipeline import (
    create_face_mesh,
    estimate_camera_matrix,
    estimate_head_pose,
    compute_iris_radius,
    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
from session_logger import GazeLogger
from analysis import generate_report


# =============================================================================
# CONFIG — 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

POSE_NORM_SCALE         = 30.0
HEAD_PITCH_COMPENSATION = 0.0
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 — no fake
# results, no scraping — 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 — 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

    @staticmethod
    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) — search hint + S/Esc keybindings
# =============================================================================

CONTROL_JS = r"""
(function(){
  if (window.__insightuxControl) { return; }
  // The local landing page is already fully InsightUX-branded — don't
  // stack a second banner on top of it.
  if (document.querySelector('meta[name="insightux-landing"]')) { return; }
  window.__insightuxControl = true;

  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-Tracking Research Browser</span>
    </span>
    <span id="__insightux_status" style="color:#c9a6f5;">Press S to start eye-tracking on this page</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 === '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 — fires before page scripts can intercept/stop the event
})();
"""

# JS: tracking overlay (gaze dot + AOI highlighting) — 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) as if it were page content.
      if (el.id === '__insightux_pill' || el.id === '__insightux_canvas') return;
      if (el.closest && el.closest('#__insightux_pill, #__insightux_canvas')) 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;
})();
"""


# =============================================================================
# API exposed to JS — start/stop are the only two entry points
# =============================================================================

class Api:
    def __init__(self):        
        self.tracking = False
        self.stop_event = threading.Event()
        self.thread = None

    def start_tracking(self):
        print("[browser_session] start_tracking() called from JS")
        if self.tracking:
            print("[browser_session]   already tracking, ignoring")
            return False
        if not os.path.exists(CALIBRATION_PATH):
            print(f"[browser_session]   no {CALIBRATION_PATH} found — run calibrate.py first")
            self._set_status("No calibration.pkl found — 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._set_status("Recording... Press E to stop")
        global APP_WINDOW
        self.thread = threading.Thread(
            
            target=gaze_worker, args=(APP_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.stop_event.set()
        return True

    def _inject_tracking_overlay(self):
        try:
            global APP_WINDOW
            APP_WINDOW.evaluate_js(TRACKING_JS)
        except Exception as e:
            print(f"[browser_session] overlay inject failed: {e}")

    def _set_status(self, text):
        try:
            global APP_WINDOW
            APP_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 — 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 — 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 — 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) — 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)
    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()
                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)

        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)
        sx, sy = pipeline.calibration.predict(pitch, yaw)
        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:
            APP_WINDOW.evaluate_js(f"window.insightuxUpdate({fx:.5f},{fy:.5f})")
        except Exception:
            pass

        frame_i += 1
        if frame_i % DOM_EVERY == 0:
            try:
                raw = APP_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 — 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)

    APP_WINDOW = webview.create_window(
    "InsightUX — Eye-Tracking Research Browser",
    LANDING_URL,
    width=SCREEN_W,
    height=SCREEN_H,
    js_api=api
)

APP_WINDOW.events.loaded += lambda: inject_control(APP_WINDOW)
APP_WINDOW.events.shown += lambda: threading.Thread(
    target=_go_fullscreen,
    args=(APP_WINDOW,),
    daemon=True
).start()

webview.start(debug=True)