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return f'<a target="_blank" href="{link}" style="color: #0284c7; font-weight: 600; text-decoration: none;">{model_name}</a>'
def make_clickable_model(model_name):
return model_hyperlink(f"https://huggingface.co/{model_name}", model_name)
def styled_error(error):
return f"<div style='color: #ef4444; background: rgba(239, 68, 68, 0.08); padding: 12px 16px; border-radius: 8px; border: 1px solid rgba(239, 68, 68, 0.25); font-weight: 500;'>❌ {error}</div>"
def styled_warning(warn):
return f"<div style='color: #d97706; background: rgba(245, 158, 11, 0.08); padding: 12px 16px; border-radius: 8px; border: 1px solid rgba(245, 158, 11, 0.25); font-weight: 500;'>⚠️ {warn}</div>"
def styled_message(message):
return f"<div style='color: #059669; background: rgba(16, 185, 129, 0.08); padding: 12px 16px; border-radius: 8px; border: 1px solid rgba(16, 185, 129, 0.25); font-weight: 500;'>✅ {message}</div>"
def styled_loading(message: str, subtext: str = "This may take 1–2 minutes while layers are audited.", pct: int = 15) -> str:
pct_val = max(0, min(100, int(pct)))
return f"""
<div class="audit-loading-container">
<div class="loading-top-row">
<div class="spinner-orbit">
<div class="spinner-ring"></div>
<div class="spinner-core">🔬</div>
</div>
<div class="loading-text-stack">
<div class="loading-main-text">{message}</div>
<div class="loading-sub-text">⏳ <b>Please wait:</b> {subtext}</div>
</div>
<div class="loading-pct-badge">{pct_val}%</div>
</div>
<div class="progress-bar-track">
<div class="progress-bar-fill" style="width: {pct_val}%;">
<div class="progress-bar-glow"></div>
</div>
</div>
</div>
"""
def build_top_3_cards_html(top_records: list) -> str:
if not top_records:
return ""
cards_html = ""
for r in top_records[:3]:
model_name = r.get("model_name", "Model")
org = r.get("org", "Org")
logo = model_name[0].upper() if model_name else "M"
acc = r.get("factuality", 0.0)
blind = r.get("blind_fraction", 0.0)
score = r.get("composite_score", 0.0)
run_id = r.get("run_id", "Unknown")
date_str = r.get("date", "")
cards_html += f"""
<div class="top-eval-card" onclick="window.selectTopModel('{model_name}')" style="cursor: pointer;" title="Click to view certificate for {model_name}">
<div class="card-header-row">
<div class="provider-logo">{logo}</div>
<div class="card-titles">
<h3>{model_name}</h3>
<span>{org} · <b style="color: #0284c7;">Click to Inspect 🔬</b></span>
</div>
</div>
<div>
<div class="benchmark-sub" style="font-weight: 600;">
X-Ray Composite: <b style="color: #0284c7;">{score:.1f}</b> <span style="font-size:11px; opacity: 0.7;">/ 100</span>
</div>
</div>
<div class="metrics-stack">
<div class="metric-split-pill green">
<span class="badge">Factuality: {acc:.1f}%</span>
<span class="sub-val">Layer C</span>
</div>
<div class="metric-split-pill blue">
<span class="badge">Blind Manifold: {blind:.2f}%</span>
<span class="sub-val">Layer B</span>
</div>
</div>
<div class="card-footer">
<span>{run_id}</span>
<span>{date_str}</span>
</div>
</div>
"""
return f"""
<div style="margin-bottom: 24px;">
<div class="section-eyebrow">Top Audited Models (Click Any Card to Inspect)</div>
<div class="top-cards-grid">{cards_html}</div>
</div>
"""
def render_audit_details_panel(cert: dict) -> str:
if not cert:
return """
<div class="result-panel-empty">
<div style="font-size: 28px; margin-bottom: 6px;">🔬</div>
<b>No Model Selected</b>
<p style="font-size: 12px; margin-top: 4px; opacity: 0.8;">
Select any model row from the leaderboard or click one of the Top 3 Cards above to inspect its audit certificate.
</p>
</div>
"""
if cert.get("status") == "error":
model_id = cert.get("config", {}).get("model_name", "Model")
err_msg = cert.get("error_message", "Audit could not be completed.")
return f"""
<div class="audit-result-panel" style="border-color: #fecdd3; background: rgba(239, 68, 68, 0.05);">
<div class="result-header-row" style="border-bottom: 1px solid #fecdd3;">
<div>
<span class="panel-tag" style="background:#fee2e2; color:#ef4444;">AUDIT ATTEMPT FAILED</span>
<h2 class="result-model-title" style="color:#9f1239;">{model_id}</h2>
</div>
</div>
<div style="padding: 12px 0; color: #9f1239; font-size: 13px; line-height: 1.5;">
<b>Reason:</b> {err_msg}
</div>
</div>
"""
config = cert.get("config", {})
model_id = config.get("model_name", "Unknown Model")
revision = str(config.get("model_sha", "main"))[:8]
arch = config.get("architecture", "Unknown")
params = config.get("params") or "N/A"
comp = cert.get("composite", cert.get("risk", {}))
score = comp.get("unvalidated_composite_score", comp.get("hallucination_potential", 0.0))
r_struct = comp.get("structural_risk", 0.0)
r_behav = comp.get("behavioral_risk", 0.0)
verdict = comp.get("verdict")
if not verdict:
verdict = "LOW RISK" if score < 25 else ("MODERATE RISK" if score < 55 else "HIGH RISK")
risk_class = "risk-low" if score < 25 else ("risk-moderate" if score < 55 else "risk-high")
spec = cert.get("spectral", {})
obs = cert.get("observer", cert.get("hso", {}))
behav = cert.get("behavioral", {})
d_obs = obs.get("d", obs.get("observable_dim", 0))
raw_blind = obs.get("blind_fraction", 0.0)
if isinstance(raw_blind, str):
blind_frac = float(raw_blind.replace("%", "").strip() or 0.0)
elif isinstance(raw_blind, (int, float)) and raw_blind <= 1.0:
blind_frac = raw_blind * 100.0
else:
blind_frac = float(raw_blind or 0.0)
ratio = obs.get("token_to_dim_ratio", 0.0)
sample_ok = obs.get("sample_adequate", True)
raw_acc = behav.get("factual_accuracy", 0.0)
if isinstance(raw_acc, str):
acc = float(raw_acc.replace("%", "").strip() or 0.0)
elif isinstance(raw_acc, (int, float)) and raw_acc <= 1.0:
acc = raw_acc * 100.0
else:
acc = float(raw_acc or 0.0)
raw_stab = behav.get("paraphrase_fidelity", behav.get("paraphrase_stability", 0.0))
if isinstance(raw_stab, str):
stab = float(raw_stab.replace("%", "").strip() or 0.0)
elif isinstance(raw_stab, (int, float)) and raw_stab <= 1.0:
stab = raw_stab * 100.0
else:
stab = float(raw_stab or 0.0)
warn_html = ""
if not sample_ok:
warn_html = f"<div style='margin-bottom:12px; font-size:11px; color:#d97706; background:rgba(245, 158, 11, 0.1); padding:8px; border-radius:6px; border:1px solid rgba(245, 158, 11, 0.3);'><b>⚠️ Diagnostic Warning:</b> Calibration Token/Dim ratio is {ratio:.2f}x. Layer B covariance is under-sampled. Blind quotient is provisional.</div>"
return f"""
<div class="audit-result-panel">
<div class="result-header-row">
<div>
<span class="panel-tag">REAL AUDIT CERTIFICATE</span>
<h2 class="result-model-title">{model_id}</h2>
<span class="result-meta-sub">{params}B Params · {arch} · SHA: <code>{revision}</code></span>
</div>
<div class="score-badge-box">
<span class="score-label">COMPOSITE (UNVALIDATED)</span>
<div class="score-number">{score:.1f}<span style="font-size: 14px; font-weight: normal; opacity: 0.7;"> / 100</span></div>
<span class="risk-badge {risk_class}">{verdict}</span>
</div>
</div>
{warn_html}
<div class="layer-grid">
<div class="layer-card">
<div class="layer-title">Layer A: Weight Spectra</div>
<div class="stat-row"><span>Stable Rank (r_s):</span> <b>{spec.get('stable_rank_mean', 0)}</b></div>
<div class="stat-row"><span>Effective Rank:</span> <b>{spec.get('effective_rank_mean', 0)}</b></div>
<div class="stat-row"><span>Condition (κ):</span> <b>{spec.get('condition_number_mean', 0):,.1f}</b></div>
<div class="stat-row" style="margin-top:4px; padding-top:4px; border-top:1px solid var(--border-color-primary, #e2e8f0);">
<span>Matrices Sampled:</span> <b>{spec.get('matrices_sampled', 0)}</b>
</div>
</div>
<div class="layer-card">
<div class="layer-title">Layer B: HSO Geometry</div>
<div class="stat-row"><span>Observable Dim (d):</span> <b>{d_obs}</b></div>
<div class="stat-row"><span>Blind Manifold (ker):</span> <b style="color:#d97706;">{blind_frac:.2f}%</b></div>
<div class="stat-row"><span>Token/Dim Ratio:</span> <b style="color:{'#059669' if sample_ok else '#ef4444'};">{ratio:.2f}x</b></div>
<div class="stat-row" style="margin-top:4px; padding-top:4px; border-top:1px solid var(--border-color-primary, #e2e8f0);">
<span>Structural Risk:</span> <b style="color:#e11d48;">{r_struct:.1f}</b>
</div>
</div>
<div class="layer-card">
<div class="layer-title">Layer C: Probes ({behav.get('n_probes', 0)})</div>
<div class="stat-row"><span>Factual Accuracy:</span> <b style="color:#059669;">{acc:.1f}%</b></div>
<div class="stat-row"><span>Paraphrase Stability:</span> <b style="color:#0284c7;">{stab:.1f}%</b></div>
<div class="stat-row"><span>Correct Probes:</span> <b>{behav.get('correct_count', 0)}</b></div>
<div class="stat-row" style="margin-top:4px; padding-top:4px; border-top:1px solid var(--border-color-primary, #e2e8f0);">
<span>Behavioral Risk:</span> <b style="color:#e11d48;">{r_behav:.1f}</b>
</div>
</div>
</div>
<div class="result-footer">
<span><b>Audit ID:</b> XRAY-{revision}-{model_id.split('/')[-1][:6]}</span>
<span><b>Audited:</b> {cert.get('audited_at', '')}</span>
</div>
</div>
""" |