Entscheidung (Standard: decide=consensus): - Zwei lokale Vision-Modelle (local: Qwen3-VL, local2: Gemma 4) lesen jedes Formelbild; angenommen wird nur bei inhaltlicher Übereinstimmung (Normalform oder Render-Gleichheit), Pandoc-Prüfung und grobem Bild-Veto - Optional dritte Lesart als Gegenprobe (require_third) bzw. Stichwahl - Fettdruck standardmäßig irrelevant (bold_relevant=0) - Token-Wahrscheinlichkeiten aus Logprobs (p_min, p_mean) statt Selbsteinschätzung; "Nachdenken" lokaler Modelle abgeschaltet (Gemma 4: ~10x schneller) - consensus.py: Normalform auf Baumbasis (Abstände, \left/\right, kursiv/aufrecht, Längenvarianten, Matrix-Umgebungen, TeX-Umlaute, \atop), Render-Vergleich Bildvergleich (Veto und Pixel-Modus decide=pixel): - Elastische Ausrichtung per DTW über Spalten und Zeilen; Dehnen kostet proportional zur Tinte, Varianten nutzen die Verzerrung des Kandidaten - Layouttreue Prüfvarianten, Äquivalenzklassen, rauschnormierter Kontrast Werkzeuge: calibrate --consensus, tools/vergleich.py (50er-Stichprobe mit Bildern), tools/konsens_bericht.py (Übersichtsseite); Ausgaben in vergleich/ (nicht versioniert) Messung Göllmann (2 x 150 Formeln, Fettdruck egal): Qwen = Gemma = GLM angenommen 61 % / 57 %, davon falsch 0; Qwen = Gemma allein: 1 bzw. 2 Fehler. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
125 lines
5.7 KiB
Python
125 lines
5.7 KiB
Python
#!/usr/bin/env python3
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"""Visual report of a consensus calibration (calibrate --consensus --report X.json).
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python3 tools/konsens_bericht.py BERICHT.json EPUB [--name konsens-goellmann]
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Writes vergleich/<name>/index.html (not versioned): per formula the original image, the rendered
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truth, the rendered readings of both models and the verdict (agree+right / agree+WRONG / disagree).
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"""
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from __future__ import annotations
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import argparse
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import base64
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import html
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import io
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import json
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import random
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import sys
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import zipfile
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from pathlib import Path
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import numpy as np
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from PIL import Image
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from formula_img2latex.calibrate import _dvipng_jpeg # noqa: E402
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from formula_img2latex.render import render_many # noqa: E402
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from formula_img2latex.tex import strip_delimiters # noqa: E402
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def png_uri(img: Image.Image) -> str:
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buf = io.BytesIO()
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img.save(buf, "PNG")
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return "data:image/png;base64," + base64.b64encode(buf.getvalue()).decode()
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def orig_img(data: bytes, scale: int) -> Image.Image:
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im = Image.open(io.BytesIO(data))
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if im.mode in ("P", "LA", "RGBA") or "transparency" in im.info:
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im = im.convert("RGBA")
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bg = Image.new("RGBA", im.size, "white")
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im = Image.alpha_composite(bg, im)
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im = im.convert("RGB")
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return im.resize((im.width * scale, im.height * scale), Image.NEAREST)
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("report", type=Path)
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ap.add_argument("epub", type=Path)
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ap.add_argument("--name", default=None)
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args = ap.parse_args()
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rep = json.loads(args.report.read_text(encoding="utf-8"))
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name = args.name or "konsens-" + args.epub.name.split("_")[0].lower()
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out = Path(__file__).resolve().parents[1] / "vergleich" / name
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out.mkdir(parents=True, exist_ok=True)
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z = zipfile.ZipFile(args.epub)
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models = rep.get("engines", ["A", "B"])
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parts = [f"<h1>Konsensmessung: {html.escape(args.epub.name[:70])}</h1>",
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f"<p>Modell A = {html.escape(models[0])}, Modell B = {html.escape(models[1])}. "
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"Grün = beide einig und richtig, <b style='color:#a32020'>Rot = beide einig, aber falsch</b>, "
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"Grau = uneinig. Gerendert mit pdflatex; „richtig“ heißt: gleiche Zeichen an gleicher Stelle "
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"(Abstände, Pfeillängen, kursiv/aufrecht egal).</p>"]
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for s in rep["sets"]:
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res = s["results"]
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n = max(1, len(res))
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parts.append(f"<h2>{html.escape(s['label'])}</h2><p>{len(res)} Formeln · A richtig {s['a_correct'] / n:.0%} · "
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f"B richtig {s['b_correct'] / n:.0%} · einig {s['agree'] / n:.0%} · "
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f"<b>einig, aber falsch: {s['agree_wrong']}</b></p>")
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order = sorted(res, key=lambda r: (0 if r["agree"] and not r["a_ok"] else 1 if not r["agree"] else 2))
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texes = []
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for r in order:
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texes += [(strip_delimiters(r["truth"]), r["display"]), (r["a"].get("tex") or "", r["display"]),
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(r["b"].get("tex") or "", r["display"])]
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rendered = render_many([(t or "\\text{–}", d) for t, d in texes], "cm")
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rng = random.Random(1)
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for k, r in enumerate(order):
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if r["name"].endswith("#synth.jpg"):
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data = _dvipng_jpeg(strip_delimiters(r["truth"]), r["display"], 102) or b""
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else:
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data = z.read(r["name"])
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try:
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o = orig_img(data, 2)
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except Exception: # noqa: BLE001
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continue
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imgs = []
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for j in range(3):
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rr = rendered[3 * k + j]
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if rr.ok:
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g = (rr.rasterize(2.0) * 255).astype(np.uint8)
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imgs.append(png_uri(Image.fromarray(255 - g)))
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else:
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imgs.append("")
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if r["agree"] and not r["a_ok"]:
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cls, verdict = "bad", "einig, aber FALSCH"
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elif r["agree"]:
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cls, verdict = "good", "einig und richtig"
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else:
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cls, verdict = "dis", "uneinig"
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mark = lambda ok: "✓" if ok else "✗" # noqa: E731
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pa, pb = r["a"].get("p_mean"), r["b"].get("p_mean")
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parts.append(
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f"<section class={cls}><div class=v>{verdict}</div><table>"
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f"<tr><th>Original</th><td><img src='{png_uri(o)}'></td><td></td></tr>"
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f"<tr><th>richtig</th><td><img src='{imgs[0]}'></td><td><code>{html.escape(r['truth'])}</code></td></tr>"
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f"<tr><th>A {mark(r['a_ok'])}</th><td><img src='{imgs[1]}'></td><td><code>{html.escape(r['a'].get('tex') or '–')}</code>"
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f" <small>p={pa and round(pa, 3)}</small></td></tr>"
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f"<tr><th>B {mark(r['b_ok'])}</th><td><img src='{imgs[2]}'></td><td><code>{html.escape(r['b'].get('tex') or '–')}</code>"
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f" <small>p={pb and round(pb, 3)}</small></td></tr></table></section>")
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del rng
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rng = random.Random(1)
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(out / "index.html").write_text(
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"<!doctype html><meta charset=utf-8><title>Konsens</title><style>"
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"body{font:14px system-ui,sans-serif;margin:16px;background:#f6f6f3}section{background:#fff;border:1px solid #ddd;"
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"border-left:6px solid #999;border-radius:6px;padding:6px 10px;margin:8px 0}section.good{border-left-color:#1f7a3a}"
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"section.bad{border-left-color:#a32020;background:#fff5f5}.v{font-weight:600;font-size:13px}"
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"th{text-align:left;font-weight:400;color:#666;width:80px;vertical-align:middle}td{padding:2px 8px;vertical-align:middle}"
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"code{font-size:12px}img{max-width:700px}</style>" + "".join(parts), encoding="utf-8")
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print(out / "index.html")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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