File size: 13,649 Bytes
df84e45 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 | """Browse a recorded CUA dataset: stats, filters, and a step-through player.
python scripts/view_cua.py artifacts/cua # writes artifacts/cua/index.html
python -m http.server -d artifacts/cua 8097 # then open http://localhost:8097
The page reads `cua.jsonl` (inlined) and the dataset's own image files (by
relative path), so what you step through is exactly what a trainer would load.
"""
from __future__ import annotations
import json
import sys
from collections import Counter
from pathlib import Path
NAMES = {"figma": "Studio", "canva": "Template", "photoshop": "Pixel", "slides": "Deck", "powerpoint": "Present",
"inkscape": "Vector"}
def _calls(msg):
out = []
for c in msg.get("tool_calls", []):
args = json.loads(c["function"]["arguments"])
parts = [f"{k}={json.dumps(v, ensure_ascii=False)}" for k, v in args.items() if v is not None]
out.append(f"{c['function']['name']}({', '.join(parts)})")
return out
def summarise(traj: dict) -> dict:
msgs = traj["messages"]
user_imgs = [c["image"] for c in msgs[1]["content"] if c["type"] == "image"]
steps, frames = [], [user_imgs[-1]]
i = 2
while i < len(msgs):
a = msgs[i]
n = len(a.get("tool_calls", []))
shot, extra = None, []
for r in msgs[i + 1:i + 1 + n]:
if isinstance(r["content"], list):
ims = [c["image"] for c in r["content"] if c["type"] == "image"]
if ims:
shot = ims[-1]
extra += ims[:-1]
steps.append({"t": a.get("content") or "", "c": _calls(a), "m": a.get("train") is False,
"f": len(frames) if shot else None, "x": extra})
if shot:
frames.append(shot)
i += 1 + n
sub = next((k for k, s in enumerate(steps) if any(w in s["t"] for w in ("Export", "export", "Submit", "submit"))),
len(steps) - 1)
done = next((s["f"] for s in reversed(steps[:sub]) if s["f"] is not None), len(frames) - 1)
return {"meta": traj["meta"], "target": user_imgs[0] if traj["meta"]["mode"] == "reference" else None,
"frames": frames, "steps": steps, "done": done}
PAGE = """<!doctype html><html lang="en"><head><meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1"><title>CUA dataset viewer</title>
<style>
:root { --bg:#f7f7f5; --card:#fff; --fg:#1d1d1f; --muted:#6b6b70; --line:#e3e3e0; --accent:#4f46e5; --bad:#b91c1c; --code:#f1f1ee; }
@media (prefers-color-scheme: dark) { :root:not([data-theme="light"]) { --bg:#141416; --card:#1d1d20; --fg:#ececef; --muted:#9a9aa2; --line:#2e2e33; --accent:#8b85ff; --bad:#f87171; --code:#26262a; } }
* { box-sizing:border-box } body { margin:0; background:var(--bg); color:var(--fg); font:15px/1.55 -apple-system,system-ui,Segoe UI,sans-serif }
main { max-width:1240px; margin:0 auto; padding:26px 16px 60px } h1 { font-size:24px; margin:0 0 4px } h2 { font-size:18px; margin:28px 0 10px }
.sub { color:var(--muted); margin:0 0 16px } .card { background:var(--card); border:1px solid var(--line); border-radius:12px; padding:14px }
.stats { display:grid; grid-template-columns:repeat(auto-fill,minmax(150px,1fr)); gap:10px } .stat b { display:block; font-size:22px } .stat span { color:var(--muted); font-size:13px }
.chips { display:flex; flex-wrap:wrap; gap:6px; margin:12px 0 } .chips button { border:1px solid var(--line); background:var(--card); color:var(--fg); padding:5px 11px; border-radius:999px; cursor:pointer; font:inherit; font-size:13px }
.chips button.on { background:var(--accent); border-color:var(--accent); color:#fff } .chips .lab { color:var(--muted); font-size:13px; align-self:center; margin-right:2px }
.list { display:grid; grid-template-columns:repeat(auto-fill,minmax(220px,1fr)); gap:10px }
.tr { border:1px solid var(--line); border-radius:10px; background:var(--card); padding:8px; cursor:pointer; text-align:left; color:var(--fg); font:inherit }
.tr.on { outline:2px solid var(--accent) } .tr img { width:100%; aspect-ratio:16/10; object-fit:cover; border-radius:6px; display:block; background:var(--code) }
.tr .k { font-size:13px; margin-top:6px } .tr .m { font-size:12px; color:var(--muted) }
.player { display:grid; grid-template-columns:minmax(0,1.6fr) minmax(0,1fr); gap:14px } @media (max-width:880px) { .player { grid-template-columns:1fr } }
.shot img { width:100%; border-radius:8px; border:1px solid var(--line); display:block } .ctrl { display:flex; gap:8px; align-items:center; margin-top:8px } .ctrl input { flex:1 }
.ctrl button { border:1px solid var(--line); background:var(--card); color:var(--fg); border-radius:8px; padding:4px 10px; cursor:pointer }
.side { display:flex; flex-direction:column; gap:10px } .side .ref { display:flex; gap:10px; align-items:flex-start } .side .ref img { width:120px; border-radius:6px; border:1px solid var(--line) }
.steps { position:relative; max-height:470px; overflow:auto; border:1px solid var(--line); border-radius:8px }
.step { padding:7px 10px; border-bottom:1px solid var(--line); cursor:pointer; font-size:13px } .step.cur { background:color-mix(in srgb, var(--accent) 13%, transparent) }
.n { color:var(--muted); font-size:12px } .calls { font-family:ui-monospace,SFMono-Regular,Menlo,monospace; font-size:12px }
.calls div { background:var(--code); border-radius:5px; padding:2px 6px; margin-top:3px; overflow-wrap:anywhere } .slip { color:var(--bad); font-weight:600; font-size:11px; margin-left:6px }
.now { margin-top:10px; font-size:14px } .muted { color:var(--muted) } pre { background:var(--code); border-radius:8px; padding:10px; overflow:auto; font-size:12px; max-height:240px; white-space:pre-wrap }
</style></head><body><main>
<h1>CUA dataset viewer</h1><p class="sub" id="src"></p>
<div class="card"><div class="stats" id="stats"></div></div>
<h2>Trajectories</h2>
<div id="filters"></div><div class="list" id="list"></div>
<h2 id="ptitle">Player</h2>
<div class="card"><div class="player">
<div><div class="shot"><img id="frame" alt="Editor screenshot"></div>
<div class="ctrl"><button id="prev" aria-label="Previous">←</button><button id="play">Play</button><input type="range" id="slider" min="0" value="0" aria-label="Turn"><button id="next" aria-label="Next">→</button></div>
<div class="now" id="now"></div></div>
<div class="side"><div class="ref" id="ref"></div><div class="steps" id="steps"></div></div>
</div></div>
</main><script>
const D = __DATA__;
const esc = (s) => String(s).replace(/[&<>]/g, (c) => ({"&":"&","<":"<",">":">"})[c]);
const T = D.trajs;
document.getElementById("src").textContent = `${D.source} · recorder v${T[0]?.meta.recorder_version ?? "?"} · every export scored ≥ 0.98 or was dropped`;
const stat = (v, l) => `<div class="stat"><b>${v}</b><span>${l}</span></div>`;
const S = D.stats;
document.getElementById("stats").innerHTML = [
stat(S.n, "trajectories"), stat(Object.entries(S.skins).map(([k, v]) => `${D.names[k]} ${v}`).join(" · "), "per layout"),
stat(Object.entries(S.modes).map(([k, v]) => `${k} ${v}`).join(" · "), "per mode"),
stat(Object.entries(S.themes).map(([k, v]) => `${k} ${v}`).join(" · "), "per theme"),
stat((T.reduce((a, t) => a + (t.meta.reward || 0), 0) / Math.max(1, T.length)).toFixed(4), "mean reward"), stat(S.mean_turns, "mean turns"), stat(S.mean_actions, "mean actions"),
stat(S.images, "screenshots"), stat(S.slips, "masked slips"), stat(S.failed, "failed (dropped)"),
stat(Object.entries(S.skipped).map(([k, v]) => `${v}`).reduce((a, b) => (+a) + (+b), 0), "skipped (not GUI-expressible)")].join("");
const F = { skin: null, mode: null, theme: null, layout: null };
const facets = [["skin", "Layout", (v) => D.names[v]], ["mode", "Mode", (v) => v], ["theme", "Theme", (v) => v], ["layout", "Panels", (v) => v === "swap" ? "mirrored" : "default"]];
const fEl = document.getElementById("filters");
function drawFilters() {
fEl.innerHTML = facets.map(([k, lab, name]) => {
const vals = [...new Set(T.map((t) => t.meta[k]))].sort();
if (vals.length < 2) return ""; // nothing to filter on
return `<div class="chips"><span class="lab">${lab}</span><button data-k="${k}" data-v="" class="${F[k] === null ? "on" : ""}">all</button>` +
vals.map((v) => `<button data-k="${k}" data-v="${v}" class="${F[k] === v ? "on" : ""}">${name(v)}</button>`).join("") + "</div>";
}).join("");
fEl.querySelectorAll("button").forEach((b) => b.onclick = () => { F[b.dataset.k] = b.dataset.v || null; drawFilters(); drawList(); });
}
let curT = null, i = 0, timer = null;
function drawList() {
const shown = T.map((t, k) => [t, k]).filter(([t]) => Object.entries(F).every(([k, v]) => v === null || t.meta[k] === v));
document.getElementById("list").innerHTML = shown.map(([t, k]) => {
const m = t.meta;
return `<button class="tr ${k === curT ? "on" : ""}" data-k="${k}"><img loading="lazy" src="${t.frames[t.done]}" alt="finished canvas">
<div class="k"><b>${D.names[m.skin]}</b> · ${m.theme} · ${m.layout === "swap" ? "mirrored" : "default"} · ${m.mode}</div>
<div class="m">${m.task_id} · ${m.n_elements} layers · ${m.turns} turns · ${m.actions} actions${m.masked_turns ? ` · ${m.mistakes.length} slip(s)` : ""}</div></button>`;
}).join("") || '<p class="muted">No trajectories match.</p>';
document.querySelectorAll(".tr").forEach((b) => b.onclick = () => load(+b.dataset.k));
}
const frame = document.getElementById("frame"), slider = document.getElementById("slider"), stepsEl = document.getElementById("steps"), now = document.getElementById("now");
function show(k) {
const t = T[curT]; i = Math.max(0, Math.min(t.steps.length - 1, k)); slider.value = i;
const s = t.steps[i]; let f = s.f; for (let j = i; f == null && j >= 0; j--) f = t.steps[j].f;
frame.src = t.frames[f ?? 0];
now.innerHTML = `<b>Turn ${i + 1} / ${t.steps.length}</b>${s.m ? '<span class="slip">SLIP · masked from the loss</span>' : ""}
<div>${esc(s.t) || '<span class="muted">(no thought: continues the previous edit)</span>'}</div><div class="calls">${s.c.map((c) => `<div>${esc(c)}</div>`).join("")}</div>
${s.x.length ? `<div class="muted" style="margin-top:6px">returned: ${s.x.map((x) => `<a href="${x}" target="_blank">image</a>`).join(", ")}</div>` : ""}`;
[...stepsEl.children].forEach((el, j) => el.classList.toggle("cur", j === i));
const el = stepsEl.children[i];
if (el && (el.offsetTop < stepsEl.scrollTop || el.offsetTop + el.offsetHeight > stepsEl.scrollTop + stepsEl.clientHeight)) stepsEl.scrollTop = el.offsetTop - stepsEl.clientHeight / 3;
}
function load(k) {
curT = k; const t = T[k], m = t.meta; slider.max = t.steps.length - 1;
document.getElementById("ptitle").textContent = `Player · ${m.task_id} · ${D.names[m.skin]} · ${m.theme} · ${m.layout === "swap" ? "mirrored" : "default"} · ${m.mode} mode`;
document.getElementById("ref").innerHTML = t.target ? `<img src="${t.target}" alt="target"><div class="muted" style="font-size:13px">Target the agent was shown (reference mode). Reward after submitting: <b>${m.reward.toFixed(3)}</b></div>`
: `<div class="muted" style="font-size:13px">Description mode: the agent works from a written brief in its instructions, no target image. Reward: <b>${m.reward.toFixed(3)}</b></div>`;
stepsEl.innerHTML = t.steps.map((s, j) => `<div class="step"><span class="n">${j + 1}</span>${s.m ? '<span class="slip">SLIP</span>' : ""}<div>${esc(s.t) || "…"}</div><div class="calls">${s.c.map((c) => `<div>${esc(c)}</div>`).join("")}</div></div>`).join("");
[...stepsEl.children].forEach((el, j) => el.onclick = () => show(j));
drawList(); show(0);
}
slider.oninput = () => show(+slider.value);
document.getElementById("prev").onclick = () => show(i - 1);
document.getElementById("next").onclick = () => show(i + 1);
document.getElementById("play").onclick = (e) => {
if (timer) { clearInterval(timer); timer = null; e.target.textContent = "Play"; return; }
e.target.textContent = "Pause";
timer = setInterval(() => { if (i >= T[curT].steps.length - 1) { clearInterval(timer); timer = null; e.target.textContent = "Play"; } else show(i + 1); }, 650);
};
drawFilters(); if (T.length) load(0); else drawList();
</script></body></html>"""
def build(root: Path) -> Path:
trajs = [summarise(json.loads(line)) for line in (root / "cua.jsonl").read_text().splitlines() if line.strip()]
metas = [t["meta"] for t in trajs]
summary = json.loads((root / "summary.json").read_text()) if (root / "summary.json").exists() else {}
failed = len((root / "failures.jsonl").read_text().splitlines()) if (root / "failures.jsonl").exists() else 0
stats = {
"n": len(trajs), "skins": dict(Counter(m["skin"] for m in metas)), "modes": dict(Counter(m["mode"] for m in metas)),
"themes": dict(Counter(m["theme"] for m in metas)), "mirrored": sum(m["layout"] == "swap" for m in metas),
"mean_turns": round(sum(m["turns"] for m in metas) / max(1, len(metas)), 1),
"mean_actions": round(sum(m["actions"] for m in metas) / max(1, len(metas)), 1),
"images": sum(len(t["frames"]) for t in trajs), "slips": sum(len(m["mistakes"]) for m in metas),
"failed": failed, "skipped": summary.get("skipped", {}),
}
data = {"trajs": trajs, "stats": stats, "names": NAMES, "source": str(root / "cua.jsonl")}
out = root / "index.html"
out.write_text(PAGE.replace("__DATA__", json.dumps(data, ensure_ascii=False)))
return out
if __name__ == "__main__":
print(build(Path(sys.argv[1] if len(sys.argv) > 1 else "artifacts/cua")))
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