personalgui-accel-data / render_overlay.py
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GUI-agent evaluation rig: code, per-episode records, media and findings
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# /// script
# requires-python = '>=3.12'
# dependencies = ['pillow', 'numpy', 'gua-eval']
#
# [tool.uv.sources]
# gua-eval = { path = '/home/zhanwenchen/personalgui-accel', editable = true }
# ///
'''Render an agent's episode replay as a video with per-tick action overlays.
For each decision tick: the frame the model saw, a HUD strip with the
episode clock + the model's verbatim output + latency, a crosshair on every
click (color-coded: green = inside an open pattern window's correct button,
red = false fire), and ground-truth window banners while a pattern window
is open. Click markers persist ~3 s then fade, so Tom can see WHERE and
WHEN each agent fired while the video plays.
PYTHONPATH=/home/zhanwenchen/personalgui-accel uv run render_overlay.py \
experiments/trading/episodes/trading_0000 --speed 1
Renders one mp4 per record_*.json in the episode dir (or --record for one),
to <episode>/videos/<model>.mp4 via ffmpeg (h264, yuv420p).
'''
import json
import subprocess
from argparse import ArgumentParser
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont
_FONT = '/usr/share/fonts/truetype/dejavu/DejaVuSansMono-Bold.ttf'
_HUD_H = 56
_GREEN = (80, 220, 120)
_RED = (255, 90, 80)
_YELLOW = (255, 210, 80)
_WHITE = (230, 235, 245)
_DIM = (150, 158, 175)
_MARK_S = 3.0 # click marker lifetime on screen, episode-seconds
def _inside(x: float, y: float, b: dict) -> bool:
return b['x'] <= x <= b['x'] + b['w'] and b['y'] <= y <= b['y'] + b['h']
def _click_ok(x: float, y: float, t: float, windows: list[dict],
layout: dict, direction: dict[str, str]) -> bool:
'''True if the click lands on a correct button of a window open at t.'''
for w in windows:
if not w['t_open'] <= t <= w['t_close']:
continue
pat = w['payload']['pattern']
names = (pat, direction[pat])
if any(_inside(x, y, layout['buttons'][n]) for n in names):
return True
return False
def render_record(episode_dir: Path, record_path: Path, speed: float,
out_dir: Path) -> Path:
meta = json.loads((episode_dir / 'meta.json').read_text())
layout = meta['layout']
rec = json.loads(record_path.read_text())
windows = rec['windows']
from gua_eval.tasks.trading.task import _DIRECTION
font = ImageFont.truetype(_FONT, 20)
font_sm = ImageFont.truetype(_FONT, 15)
frames_dir = episode_dir / 'frames'
decisions = [d for d in rec['decisions'] if d.get('frame_id')]
clicks: list[tuple[float, float, float, bool]] = [] # t, x, y, ok
for d in decisions:
a = d.get('action')
if a and a.get('kind') == 'click':
ok = _click_ok(a['x'], a['y'], d['t_frame'], windows,
layout, _DIRECTION)
clicks.append((d['t_frame'], a['x'], a['y'], ok))
out_dir.mkdir(exist_ok=True)
tag = rec['model'].replace('/', '_').replace(':', '_')
tmp = out_dir / f'.{tag}_frames'
tmp.mkdir(exist_ok=True)
w, h = layout['page_w'], layout['page_h'] + _HUD_H
for k, d in enumerate(decisions):
t = d['t_frame']
base = Image.open(frames_dir / f'{d["frame_id"]}.jpg').convert('RGB')
img = Image.new('RGB', (w, h), (10, 12, 18))
img.paste(base, (0, 0))
dr = ImageDraw.Draw(img, 'RGBA')
for wd in windows: # ground-truth banner
if wd['t_open'] <= t <= wd['t_close']:
pat = wd['payload']['pattern']
dr.rectangle([0, 0, w, 26], fill=(255, 210, 80, 60))
dr.text((8, 4), f'WINDOW OPEN: {pat} '
f'[{wd["t_open"]:.0f}-{wd["t_close"]:.0f}s]',
font=font_sm, fill=_YELLOW)
for ct, cx, cy, ok in clicks: # click markers, fading
age = t - ct
if not 0 <= age <= _MARK_S:
continue
alpha = int(255 * (1 - age / _MARK_S))
col = (*(_GREEN if ok else _RED), alpha)
r = 14
dr.ellipse([cx - r, cy - r, cx + r, cy + r], outline=col, width=3)
dr.line([cx - r - 6, cy, cx + r + 6, cy], fill=col, width=2)
dr.line([cx, cy - r - 6, cx, cy + r + 6], fill=col, width=2)
text = (d.get('text') or '').strip().replace('\n', ' ')[:60]
a = d.get('action') or {}
acted = a.get('kind') == 'click'
lat = d['stages_ms'].get('model_total', 0.0) / 1e3
hud_y = layout['page_h']
dr.rectangle([0, hud_y, w, h], fill=(10, 12, 18))
dr.text((10, hud_y + 6), f't={t:6.1f}s', font=font, fill=_WHITE)
dr.text((10, hud_y + 32), f'{rec["model"]} lat {lat:4.2f}s',
font=font_sm, fill=_DIM)
hud_col = (_GREEN if _click_ok(a.get('x', -1), a.get('y', -1), t,
windows, layout, _DIRECTION)
else _RED) if acted else _DIM
dr.text((260, hud_y + 12), f'> {text}', font=font, fill=hud_col)
img.save(tmp / f'{k:06d}.png')
ticks_per_s = 1.0 / (decisions[1]['t_frame'] - decisions[0]['t_frame']) \
if len(decisions) > 1 else 1.0
out = out_dir / f'{tag}.mp4'
subprocess.run(
['ffmpeg', '-y', '-loglevel', 'error',
'-framerate', str(ticks_per_s * speed),
'-i', str(tmp / '%06d.png'),
'-c:v', 'libx264', '-pix_fmt', 'yuv420p', '-crf', '20',
'-movflags', '+faststart', str(out)],
check=True)
for f in tmp.iterdir():
f.unlink()
tmp.rmdir()
return out
def main() -> int:
ap = ArgumentParser(description='Render per-tick action-overlay videos.')
ap.add_argument('episode', type=Path)
ap.add_argument('--record', type=Path, default=None,
help='one record json (default: all record_*.json)')
ap.add_argument('--speed', type=float, default=1.0,
help='playback speed multiplier (default 4x)')
args = ap.parse_args()
records = ([args.record] if args.record
else sorted(args.episode.glob('record_*.json')))
out_dir = args.episode / 'videos'
for r in records:
out = render_record(args.episode, r, args.speed, out_dir)
print(f'video: {out}')
return 0
if __name__ == '__main__':
raise SystemExit(main())