#!/usr/bin/env python3 """Item 28 slice (a): design-theory audit of every themes/*.json. Reports (never fails): OKLCH lightness architecture, extended WCAG contrast pairs, hue-family sanity for status colors, accent harmony, CVD (protanopia/deuteranopia) distinguishability, ANSI slot semantics. """ import json, math, sys from pathlib import Path # ── color math ─────────────────────────────────────────────────────── def srgb_to_linear(c): c /= 255.0 return c / 12.92 if c <= 0.04045 else ((c + 0.055) / 1.055) ** 2.4 def hex_rgb(h): h = h.lstrip("#") return tuple(int(h[i:i+2], 16) for i in (0, 2, 4)) def hex_lin(h): return tuple(srgb_to_linear(c) for c in hex_rgb(h)) def oklab(h): r, g, b = hex_lin(h) l = 0.4122214708*r + 0.5363325363*g + 0.0514459929*b m = 0.2119034982*r + 0.6806995451*g + 0.1073969566*b s = 0.0883024619*r + 0.2817188376*g + 0.6299787005*b l, m, s = l ** (1/3), m ** (1/3), s ** (1/3) return (0.2104542553*l + 0.7936177850*m - 0.0040720468*s, 1.9779984951*l - 2.4285922050*m + 0.4505937099*s, 0.0259040371*l + 0.7827717662*m - 0.8086757660*s) def oklch(h): L, a, b = oklab(h) C = math.hypot(a, b) H = math.degrees(math.atan2(b, a)) % 360 return L, C, H def de(h1, h2): # OKLab euclidean distance a, b = oklab(h1), oklab(h2) return math.dist(a, b) def wcag_lum(h): r, g, b = hex_lin(h) return 0.2126*r + 0.7152*g + 0.0722*b def ratio(f, b): hi, lo = sorted((wcag_lum(f), wcag_lum(b)), reverse=True) return (hi + 0.05) / (lo + 0.05) # Machado et al. 2009, severity 1.0, applied in linear RGB. PROTAN = [(0.152286, 1.052583, -0.204868), (0.114503, 0.786281, 0.099216), (-0.003882, -0.048116, 1.051998)] DEUTAN = [(0.367322, 0.860646, -0.227968), (0.280085, 0.672501, 0.047413), (-0.011820, 0.042940, 0.968881)] def cvd_hex(h, M): r, g, b = hex_lin(h) sim = [max(0.0, min(1.0, M[i][0]*r + M[i][1]*g + M[i][2]*b)) for i in range(3)] def enc(c): c = 12.92*c if c <= 0.0031308 else 1.055 * c ** (1/2.4) - 0.055 return max(0, min(255, round(c*255))) return "#%02x%02x%02x" % tuple(enc(c) for c in sim) def hue_in(H, lo, hi): return lo <= H <= hi if lo <= hi else (H >= lo or H <= hi) ROLES = ["base","mantle","surface","overlay","text","subtext","muted","accent","accentAlt","good","warn","bad"] findings = {} def note(slug, cat, msg): findings.setdefault(slug, []).append((cat, msg)) themes = sorted(Path(sys.argv[1] if len(sys.argv) > 1 else "themes").glob("*.json")) for tf in themes: t = json.loads(tf.read_text()); slug = tf.stem c = t["colors"]; mode = t.get("mode", "dark"); dark = mode == "dark" L = {r: oklch(c[r])[0] for r in ROLES} C = {r: oklch(c[r])[1] for r in ROLES} H = {r: oklch(c[r])[2] for r in ROLES} # A. lightness architecture: bg stack monotonic away from base stack = ["base", "surface", "overlay"] diffs = [L[b] - L[a] for a, b in zip(stack, stack[1:])] want = 1 if dark else -1 for (a, b), d in zip(zip(stack, stack[1:]), diffs): if d * want < 0.005: note(slug, "lightness", f"bg stack not raised: L({b})={L[b]:.3f} vs L({a})={L[a]:.3f} ({mode})") # fg stack: muted < subtext < text in |L - L(base)| dist = {r: abs(L[r] - L["base"]) for r in ("muted","subtext","text")} if not (dist["muted"] <= dist["subtext"] + 0.005 and dist["subtext"] <= dist["text"] + 0.005): note(slug, "lightness", f"fg hierarchy off: |dL| muted={dist['muted']:.2f} subtext={dist['subtext']:.2f} text={dist['text']:.2f}") # B. contrast pairs (audit thresholds) for f, b, mn, why in [ ("text","base",4.5,"body text"), ("text","surface",4.5,"text on chips/menus"), ("subtext","base",3.0,"secondary text"), ("accent","base",3.0,"indicators"), ("accentAlt","base",3.0,"alt accent"), ("base","accent",3.0,"selected rows"), ("good","base",2.5,"status glyph"), ("warn","base",2.5,"status glyph"), ("bad","base",2.5,"status glyph"), ("muted","base",2.0,"dimmed text"), ]: r = ratio(c[f], c[b]) if r < mn: note(slug, "contrast", f"{f} on {b} = {r:.2f} (< {mn}, {why})") # C. hue families for status roles + harmony for role, lo, hi, fam in [("good",120,180,"green"),("warn",50,120,"yellow/orange"),("bad",0,45,"red")]: h = H[role] ok = hue_in(h, lo, hi) or (role == "bad" and hue_in(h, 330, 45)) if C[role] < 0.03: note(slug, "hue", f"{role} is near-grey (C={C[role]:.3f}) — status color carries no hue") elif not ok: note(slug, "hue", f"{role} hue {h:.0f}° outside {fam} family") dh = abs(H["accent"] - H["accentAlt"]); dh = min(dh, 360 - dh) harm = "analogous" if dh < 60 else "triadic-ish" if dh < 150 else "complementary" if 90 <= dh <= 150 and de(c["accent"], c["accentAlt"]) > 0.12: note(slug, "harmony", f"accent/accentAlt Δhue={dh:.0f}° (square-clash zone; {harm})") # D. CVD distinguishability of status pairs (small glyphs) for M, name in [(PROTAN, "protan"), (DEUTAN, "deutan")]: for r1, r2 in [("good","bad"),("good","warn"),("accent","bad")]: d = de(cvd_hex(c[r1], M), cvd_hex(c[r2], M)) if d < 0.09: note(slug, "cvd", f"{r1}/{r2} nearly identical under {name} (dE={d:.03f})") # E. ANSI slot semantics (greeter/tty rely on them) ansi = t.get("ansi", []) if len(ansi) == 16: for idx, lo, hi, fam in [(1,330,45,"red"),(2,100,180,"green"),(3,50,110,"yellow"), (4,220,290,"blue"),(5,290,350,"magenta"),(6,160,230,"cyan")]: for slot in (idx, idx+8): Ls, Cs, Hs = oklch(ansi[slot]) if Cs >= 0.04 and not hue_in(Hs, lo, hi): note(slug, "ansi", f"ansi[{slot}] hue {Hs:.0f}° not {fam}") if oklch(ansi[0])[0] > oklch(ansi[15])[0]: note(slug, "ansi", "ansi[0] lighter than ansi[15] (inverted slots)") rt = ratio(ansi[7], ansi[0]) if rt < 3.0: note(slug, "ansi", f"ansi[7] on ansi[0] = {rt:.2f} (tuigreet text=gray on container=black)") print(f"audited {len(themes)} themes\n") cats = {} for slug in sorted(findings): print(f"── {slug}") for cat, msg in findings[slug]: cats[cat] = cats.get(cat, 0) + 1 print(f" [{cat}] {msg}") clean = [t.stem for t in themes if t.stem not in findings] print(f"\nclean: {', '.join(clean) if clean else '(none)'}") print("totals:", dict(sorted(cats.items())))