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CROVIA REGISTRY OBSERVER v3.0.0
Truth Surface for TPR (Training Provenance Registry)
Displays ONLY verifiable data: observations, stats, merkle roots.
No scores. No badges. No violations. Evidence-first.
"""
import json
import hashlib
try:
import gradio as gr
except Exception:
gr = None
import requests
import re
from datetime import datetime, timezone
from typing import Dict, List, Any, Optional, Tuple
VERSION = "3.1.0"
PROTOCOL_VERSION = "v1.1"
TPR_API_URL = "https://registry.croviatrust.com"
# Truth Anchor - Registry source-of-truth only
REGISTRY_ENDPOINTS = [
"/api/registry/stats",
"/api/registry/merkle",
"/api/registry/recent"
]
def load_registry_stats() -> Dict[str, Any]:
"""Load verifiable stats from TPR Registry."""
try:
response = requests.get(f"{TPR_API_URL}/api/registry/stats", timeout=5)
if response.status_code == 200:
return response.json()
return {"error": f"HTTP {response.status_code}"}
except requests.Timeout:
return {"error": "Registry timeout (>5s)"}
except Exception as e:
return {"error": f"Registry unreachable: {type(e).__name__}"}
def load_merkle_root() -> Dict[str, Any]:
"""Load merkle root from TPR Registry."""
try:
response = requests.get(f"{TPR_API_URL}/api/registry/merkle", timeout=5)
if response.status_code == 200:
return response.json()
return {"error": f"HTTP {response.status_code}"}
except requests.Timeout:
return {"error": "Timeout"}
except Exception as e:
return {"error": str(type(e).__name__)}
def load_merkle_timeline(limit: int = 10) -> List[Dict[str, Any]]:
"""Load merkle timeline from TPR Registry."""
try:
response = requests.get(f"{TPR_API_URL}/api/registry/merkle/timeline?limit={limit}", timeout=5)
if response.status_code == 200:
data = response.json()
return data.get('timeline', [])
return []
except:
return []
def load_recent_observations(limit: int = 12) -> List[Dict[str, Any]]:
"""Load diverse observations from TPR Registry - mix of recent + historical."""
try:
# Get targets with history (not just recent observations)
response = requests.get(f"{TPR_API_URL}/api/targets/summary", timeout=5)
if response.status_code == 200:
data = response.json()
targets = data.get('targets', [])
# Filter out Crovia internal and test
filtered = []
for t in targets:
target_id = t.get('target_id', '')
if 'crovia' in target_id.lower():
continue
if any(pattern in target_id.lower() for pattern in ['test-', 'debug-', 'demo-']):
continue
filtered.append(t)
def _parse_ts(s: Any) -> datetime:
if not s:
return datetime(1970, 1, 1, tzinfo=timezone.utc)
try:
return datetime.fromisoformat(str(s).replace('Z', '+00:00'))
except Exception:
return datetime(1970, 1, 1, tzinfo=timezone.utc)
recent_sorted = sorted(filtered, key=lambda x: _parse_ts(x.get('last_seen')), reverse=True)
history_sorted = sorted(filtered, key=lambda x: int(x.get('days_monitored', 0) or 0), reverse=True)
recent_n = max(1, int(limit) // 2)
history_n = max(1, int(limit) - recent_n)
out: List[Dict[str, Any]] = []
seen: set[str] = set()
for t in recent_sorted[:recent_n]:
tid = t.get('target_id')
if not tid or tid in seen:
continue
out.append(t)
seen.add(tid)
for t in history_sorted:
if len(out) >= int(limit):
break
tid = t.get('target_id')
if not tid or tid in seen:
continue
out.append(t)
seen.add(tid)
return out[:limit]
return []
except:
return []
HF_DISCLOSURE_INDEX_URL = "https://huggingface.co/datasets/Crovia/global-ai-training-omissions/resolve/main/open/reports/disclosure_index_latest.json"
def _load_disclosure_index() -> Optional[Dict[str, Any]]:
"""Load Disclosure Index from HuggingFace dataset."""
import time
try:
# Add cache-busting parameter to avoid HuggingFace CDN caching
url = f"{HF_DISCLOSURE_INDEX_URL}?t={int(time.time())}"
r = requests.get(url, timeout=15, headers={"Cache-Control": "no-cache"})
if r.status_code == 200:
return r.json()
except Exception as e:
print(f"[CROVIA] Failed to load disclosure index: {e}")
return None
def _load_verified_findings() -> Optional[Dict[str, Any]]:
"""Load verified forensic findings from HuggingFace dataset."""
import time
try:
url = f"https://huggingface.co/datasets/Crovia/global-ai-training-omissions/raw/main/open/forensic/verified_findings.json?t={int(time.time())}"
r = requests.get(url, timeout=10, headers={"Cache-Control": "no-cache"})
if r.status_code == 200:
return r.json()
except Exception as e:
print(f"[CROVIA] Failed to load verified findings: {e}")
return None
def _generate_alert_html() -> str:
"""Generate HTML summary for documentation change observations (if any)."""
findings = _load_verified_findings()
if not findings:
return ""
verified = findings.get("verified_findings", [])
if not verified:
return ""
# Build observation summary HTML
generated = findings.get("generated_at", "")[:19].replace("T", " ")
findings_rows = ""
for f in verified[:5]:
confidence = f.get("confidence", "UNKNOWN")
conf_color = "#34d399" if confidence == "VERIFIED" else "#fbbf24" if confidence == "HIGH" else "#a1a1aa"
findings_rows += f'''
<div style="background:#1e1e3f;border-radius:8px;padding:12px;margin-bottom:8px;">
<div style="display:flex;justify-content:space-between;align-items:center;">
<span style="color:#ffffff;font-weight:700;">{f.get("date", "N/A")}</span>
<span style="color:{conf_color};font-weight:700;font-size:12px;">{confidence} ({f.get("confidence_score", 0):.0f}%)</span>
</div>
<div style="color:#a1a1aa;font-size:12px;margin-top:4px;">
{f.get("orgs_count", 0)} organizations • {f.get("event_count", 0)} events •
{f.get("details", {}).get("license_removals", 0)} license changes •
{f.get("details", {}).get("dataset_removals", 0)} dataset declaration changes
</div>
</div>
'''
return f'''
<div style="background:linear-gradient(135deg,#7c3aed 0%,#6D28D9 100%);border-radius:16px;padding:3px;margin:12px 0;">
<div style="background:#0f0f1a;border-radius:14px;padding:20px;">
<div style="display:flex;align-items:center;gap:12px;margin-bottom:16px;">
<span style="font-size:24px;">�</span>
<div>
<div style="color:#ffffff;font-weight:800;font-size:16px;">DOCUMENTATION CHANGES OBSERVED</div>
<div style="color:#a78bfa;font-size:12px;">Transparency Observatory • {generated} UTC</div>
</div>
</div>
<div style="color:#e5e5e5;font-size:13px;margin-bottom:12px;">
{len(verified)} observation(s) passed quality filtering checks.
</div>
{findings_rows}
<div style="color:#71717a;font-size:11px;font-style:italic;margin-top:12px;">
Observations are filtered for quality. Temporal sequence does not imply causation.
</div>
</div>
</div>
'''
def _fmt_num(n: Any) -> str:
"""Format number with K/M suffix."""
if n is None:
return "N/A"
try:
n = int(n)
if n >= 1_000_000:
return f"{n/1_000_000:.1f}M"
if n >= 1_000:
return f"{n/1_000:.1f}K"
return str(n)
except:
return str(n)
def _generate_index_html() -> str:
"""Generate HTML for Disclosure Index display."""
index = _load_disclosure_index()
if not index:
return '<div style="color:#f87171;padding:20px;background:#1a1a2e;border-radius:12px;">⚠️ Unable to load Disclosure Index from HuggingFace. The data may be temporarily unavailable. Click Refresh to retry.</div>'
week_id = index.get("week_id", "Unknown")
generated_at = index.get("generated_at", "")[:19].replace("T", " ")
coverage = index.get("coverage", {})
obs = index.get("disclosure_observations", {})
pop = index.get("popularity_observations", {})
orgs = index.get("by_organization", [])[:8]
training = obs.get("training_section", {})
declared = obs.get("declared_datasets", {})
license_obs = obs.get("license", {})
readme = obs.get("readme_access", {})
# Build org rows
org_rows = ""
for org in orgs:
org_name = org.get("organization", "")
org_targets = org.get("targets_monitored", 0)
org_training = org.get("training_section_present", 0)
training_pct = round(100 * org_training / org_targets, 0) if org_targets > 0 else 0
org_rows += f'<tr><td style="color:#e5e5e5 !important;font-weight:600;padding:8px 12px;">{org_name}</td><td style="color:#ffffff !important;text-align:center;padding:8px 12px;">{org_targets}</td><td style="color:#34d399 !important;text-align:center;padding:8px 12px;font-weight:600;">{org_training} ({training_pct:.0f}%)</td></tr>'
# Build high-download rows
high_dl = pop.get("high_download_training_absent", [])[:5]
high_dl_rows = ""
for t in high_dl:
high_dl_rows += f'<tr><td style="color:#e5e5e5 !important;padding:8px 12px;">{t.get("target_id", "")}</td><td style="color:#fbbf24 !important;font-weight:700;text-align:right;padding:8px 12px;">{_fmt_num(t.get("downloads"))}</td></tr>'
html = f'''
<div style="background:#1a1a2e;border-radius:16px;padding:24px;margin:12px 0;">
<div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:20px;">
<div style="color:#fbbf24;font-weight:800;font-size:18px;">Week {week_id}</div>
<div style="color:#71717a;font-size:12px;">Generated {generated_at} UTC</div>
</div>
<div style="display:grid;grid-template-columns:repeat(4,1fr);gap:16px;margin-bottom:24px;">
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#e5e5e5;font-size:13px;font-weight:600;margin-bottom:8px;letter-spacing:0.05em;">TARGETS</div>
<div style="color:#ffffff;font-size:28px;font-weight:800;">{coverage.get("targets_monitored", 0)}</div>
</div>
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#e5e5e5;font-size:13px;font-weight:600;margin-bottom:8px;letter-spacing:0.05em;">TRAINING SECTION</div>
<div style="color:#34d399;font-size:28px;font-weight:800;">{training.get("present_pct", 0)}%</div>
</div>
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#e5e5e5;font-size:13px;font-weight:600;margin-bottom:8px;letter-spacing:0.05em;">DECLARED DATASETS</div>
<div style="color:#60a5fa;font-size:28px;font-weight:800;">{declared.get("with_declaration_pct", 0)}%</div>
</div>
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#e5e5e5;font-size:13px;font-weight:600;margin-bottom:8px;letter-spacing:0.05em;">GATED</div>
<div style="color:#fb7185;font-size:28px;font-weight:800;">{pop.get("gated_pct", 0)}%</div>
</div>
</div>
<div style="display:grid;grid-template-columns:1fr 1fr;gap:24px;">
<div style="background:#262640;border-radius:12px;padding:16px;">
<div style="color:#a78bfa;font-weight:700;font-size:14px;margin-bottom:16px;">BY ORGANIZATION</div>
<table style="width:100%;font-size:13px;border-collapse:collapse;">
<tr style="border-bottom:1px solid #3f3f5a;"><th style="color:#ffffff !important;text-align:left;padding:8px 12px;font-weight:700;">Org</th><th style="color:#ffffff !important;text-align:center;padding:8px 12px;font-weight:700;">Targets</th><th style="color:#ffffff !important;text-align:center;padding:8px 12px;font-weight:700;">Training</th></tr>
{org_rows}
</table>
</div>
<div style="background:#262640;border-radius:12px;padding:16px;">
<div style="color:#fbbf24;font-weight:700;font-size:14px;margin-bottom:16px;">HIGH DOWNLOADS · DOCUMENTATION COVERAGE</div>
<table style="width:100%;font-size:13px;border-collapse:collapse;">
<tr style="border-bottom:1px solid #3f3f5a;"><th style="color:#ffffff !important;text-align:left;padding:8px 12px;font-weight:700;">Target</th><th style="color:#ffffff !important;text-align:right;padding:8px 12px;font-weight:700;">Downloads</th></tr>
{high_dl_rows}
</table>
<div style="color:#a1a1aa;font-size:11px;margin-top:12px;font-style:italic;">Factual observation only. No judgment.</div>
</div>
</div>
</div>
'''
return html
HF_TPA_URL = "https://registry.croviatrust.com/registry/data/tpa_latest.json"
def _load_tpa_latest() -> Optional[Dict[str, Any]]:
"""Load latest TPA data from registry."""
import time
try:
url = f"{HF_TPA_URL}?t={int(time.time())}"
r = requests.get(url, timeout=10, headers={"Cache-Control": "no-cache"})
if r.status_code == 200:
return r.json()
except Exception as e:
print(f"[CROVIA] Failed to load TPA data: {e}")
return None
def _generate_tpa_panel_html() -> str:
"""Generate TPA panel HTML for the Space."""
data = _load_tpa_latest()
if not data or not data.get('tpas'):
return '''<div style="background:#1a1a2e;border-radius:16px;padding:40px;text-align:center;margin:12px 0;">
<div style="color:#f59e0b;font-size:18px;font-weight:700;margin-bottom:12px;">TPA data not yet available</div>
<div style="color:#71717a;font-size:13px;">Temporal Proofs of Absence will appear here after the observer generates them.<br>Check back after the next hourly observation cycle.</div>
</div>'''
tpas = data['tpas']
total = data.get('total_tpas', len(tpas))
chain_h = data.get('chain_height', '--')
# Fetch total monitored from registry to stay aligned with TPA page
total_monitored = '--'
try:
sr = requests.get(f"{TPR_API_URL}/registry/data/search_targets.json", timeout=5)
if sr.status_code == 200:
total_monitored = sr.json().get('total', '--')
except Exception:
pass
stats_html = f'''<div style="display:grid;grid-template-columns:repeat(4,1fr);gap:16px;margin-bottom:24px;">
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#60a5fa;font-size:28px;font-weight:800;">{total_monitored}</div>
<div style="color:#a1a1aa;font-size:11px;text-transform:uppercase;letter-spacing:1px;">Total Monitored</div>
</div>
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#f59e0b;font-size:28px;font-weight:800;">{total}</div>
<div style="color:#a1a1aa;font-size:11px;text-transform:uppercase;letter-spacing:1px;">TPAs Generated</div>
</div>
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#34d399;font-size:28px;font-weight:800;">{chain_h}</div>
<div style="color:#a1a1aa;font-size:11px;text-transform:uppercase;letter-spacing:1px;">Chain Height</div>
</div>
<div style="background:#262640;border-radius:12px;padding:20px;text-align:center;">
<div style="color:#a78bfa;font-size:28px;font-weight:800;">11</div>
<div style="color:#a1a1aa;font-size:11px;text-transform:uppercase;letter-spacing:1px;">Jurisdictions</div>
</div>
</div>'''
cards_html = ""
for tpa in tpas[:12]:
obs = tpa.get('observations', [])
absent = [o for o in obs if not o.get('is_present')]
present = [o for o in obs if o.get('is_present')]
jurs = tpa.get('jurisdiction_exposures', [])
ts = tpa.get('observation_timestamp', '')[:19].replace('T', ' ')
anchor = tpa.get('temporal_anchor', {})
merkle = tpa.get('merkle_root', '')[:24]
absent_tags = ' '.join(
f'<span style="padding:3px 8px;background:#FF450015;border:1px solid #FF4500;border-radius:5px;'
f'font-size:11px;font-weight:600;color:#FF6347;font-family:monospace;"'
f' title="{o.get("necessity_name", "")}">{o.get("necessity_id", "")}</span>'
for o in absent
)
present_tags = ' '.join(
f'<span style="padding:3px 8px;background:#00FF0010;border:1px solid #00880044;border-radius:5px;'
f'font-size:11px;font-weight:600;color:#00AA00;font-family:monospace;"'
f' title="{o.get("necessity_name", "")}">{o.get("necessity_id", "")}</span>'
for o in present
)
jur_tags = ' '.join(
f'<span style="padding:3px 8px;background:#8B5CF610;border:1px solid #8B5CF644;'
f'border-radius:5px;font-size:10px;color:#A78BFA;">{j.get("jurisdiction_name", "")}</span>'
for j in jurs
)
cards_html += f'''<div style="background:#0f0f1a;border:1px solid #1a1a2e;border-radius:12px;padding:20px;margin-bottom:14px;">
<div style="display:flex;justify-content:space-between;align-items:flex-start;margin-bottom:12px;flex-wrap:wrap;gap:8px;">
<div>
<div style="color:#fff;font-size:16px;font-weight:600;word-break:break-all;">{tpa.get('model_id', '')}</div>
<div style="color:#444;font-size:10px;font-family:monospace;margin-top:2px;">{tpa.get('tpa_id', '')}</div>
</div>
<div style="color:#555;font-size:11px;font-family:monospace;">{ts} UTC</div>
</div>
<div style="display:grid;grid-template-columns:1fr 1fr;gap:12px;margin-bottom:12px;">
<div><div style="color:#666;font-size:10px;text-transform:uppercase;letter-spacing:1px;margin-bottom:6px;">Absent ({tpa.get('absent_count', 0)})</div>{absent_tags}</div>
<div><div style="color:#666;font-size:10px;text-transform:uppercase;letter-spacing:1px;margin-bottom:6px;">Present ({tpa.get('present_count', 0)})</div>{present_tags}</div>
</div>
<div style="margin-bottom:12px;"><div style="color:#666;font-size:10px;text-transform:uppercase;letter-spacing:1px;margin-bottom:6px;">Jurisdictions ({tpa.get('total_jurisdictions_exposed', 0)})</div>{jur_tags}</div>
<div style="display:flex;justify-content:space-between;align-items:center;padding-top:12px;border-top:1px solid #1a1a2e;flex-wrap:wrap;gap:6px;">
<span style="color:#444;font-size:10px;font-family:monospace;">Merkle: {merkle}...</span>
<span style="color:#555;font-size:10px;background:#111;padding:3px 8px;border-radius:4px;border:1px solid #222;">Chain #{anchor.get('chain_height', 0)}</span>
<a href="mailto:info@croviatrust.com" style="color:#8B5CF6 !important;font-size:10px;background:#8B5CF610;padding:3px 10px;border-radius:4px;border:1px solid #8B5CF644;text-decoration:none;font-weight:600;">Full proof → PRO</a>
</div>
</div>'''
return f'''<div style="background:#1a1a2e;border-radius:16px;padding:24px;margin:12px 0;">
{stats_html}
{cards_html}
<div style="color:#71717a;font-size:11px;text-align:center;margin-top:12px;">
Pedersen commitments on secp256k1 · Merkle SHA-256 · Ed25519 signatures ·
<a href="https://registry.croviatrust.com/registry/tpa" target="_blank" style="color:#8B5CF6 !important;">Full page →</a>
</div>
</div>'''
def generate_observation_cards_html() -> str:
"""Generate observation cards - VERIFIED DATA ONLY."""
# Load temporal aggregates for days_monitored
try:
response = requests.get(f"{TPR_API_URL}/api/targets/summary", timeout=5)
target_metrics = {}
if response.status_code == 200:
data = response.json()
for t in data.get('targets', []):
target_metrics[t['target_id']] = t
except:
target_metrics = {}
targets = load_recent_observations(12)
if not targets:
return '<div class="error-box">No observations available</div>'
cards = ""
for target in targets:
target_id = target.get('target_id', 'Unknown')
tipo_target = target.get('tipo_target', 'unknown')
days_monitored = target.get('days_monitored', 0)
obs_count = target.get('observation_count', 0)
latest_type = target.get('latest_type', 'unknown')
last_seen = target.get('last_seen', '')
absence_streak = target.get('absence_streak_days', 0)
first_seen = target.get('first_seen', '')
prefix = '📊 ' if tipo_target == 'dataset' else ''
timestamp_display = last_seen[:19] if last_seen else 'N/A'
# ABSENCE CLOCK - Temporal signal
if latest_type == 'absence':
streak = max(1, int(absence_streak) if str(absence_streak).isdigit() else 1)
unit = "day" if streak == 1 else "days"
if streak <= 6:
band_label = "0–6"
clock_color = "#fca5a5"
note_color = "#94a3b8"
elif streak <= 15:
band_label = "7–15"
clock_color = "#f59e0b"
note_color = "#fbbf24"
else:
band_label = "16–30"
clock_color = "#ef4444"
note_color = "#fca5a5"
clock_display = (
f"<div style='color:{clock_color};font-weight:700;font-size:13px;margin-top:8px;'>"
f"📊 {streak} {unit} since last documentation update"
f"</div>"
)
temporal_note = (
f"<div style='color:{note_color};font-size:11px;font-style:italic;margin-top:4px;'>"
f"Observation ({band_label}d): documentation not updated in the last {streak} {unit}. "
f"Verify timestamps via the Registry."
f"</div>"
)
elif latest_type == 'presence' and days_monitored > 0:
mon_unit = "day" if int(days_monitored) == 1 else "days"
clock_display = f"<div style='color:#6b7280;font-size:12px;margin-top:8px;'>{days_monitored} {mon_unit} monitored</div>"
temporal_note = "<div style='color:#94a3b8;font-size:11px;font-style:italic;margin-top:4px;'>Documentation present. Verify timestamps via the Registry.</div>"
elif days_monitored > 0:
mon_unit = "day" if int(days_monitored) == 1 else "days"
clock_display = f"<div style='color:#6b7280;font-size:12px;margin-top:8px;'>{days_monitored} {mon_unit} monitored</div>"
temporal_note = ""
else:
clock_display = "<div style='color:#6b7280;font-size:12px;margin-top:8px;'>First observation</div>"
temporal_note = "<div style='color:#64748b;font-size:11px;font-style:italic;margin-top:4px;'>Insufficient temporal data for observation.</div>"
cards += f'''
<div class="observation-card">
<div class="obs-header">
<span class="obs-type">{latest_type.upper()}</span>
<span class="obs-timestamp">{timestamp_display} UTC</span>
</div>
<div class="obs-target">{prefix}{target_id}</div>
{clock_display}
{temporal_note}
<div class="obs-meta">Type: {tipo_target} · {obs_count} observations</div>
</div>
'''
return cards
def generate_stats_box_html() -> str:
"""Generate registry stats box with error handling."""
stats = load_registry_stats()
if 'error' in stats:
return f'''
<div style="background:rgba(239,68,68,0.1);border:1px solid rgba(239,68,68,0.4);border-radius:12px;padding:16px;margin:12px 0;">
<div style="color:#ef4444;font-weight:700;margin-bottom:8px;">⚠️ Registry Unreachable</div>
<div style="color:#fca5a5;font-size:13px;">{stats['error']}</div>
</div>
'''
if not stats:
return '<div class="error-box">Stats unavailable</div>'
total_obs = stats.get('total_observations', 0)
today_obs = stats.get('observations_today_utc', 0)
unique_targets = stats.get('unique_targets', 0)
updated_at = stats.get('updated_at', 'N/A')
latency = stats.get('latency_ms', 0)
return f'''
<div class="stats-box">
<h3 class="stats-title">Registry Statistics</h3>
<div class="stats-grid">
<div class="stat-item">
<div class="stat-value">{total_obs}</div>
<div class="stat-label">Total Observations</div>
</div>
<div class="stat-item">
<div class="stat-value">{today_obs}</div>
<div class="stat-label">Today (UTC)</div>
</div>
<div class="stat-item">
<div class="stat-value">{unique_targets}</div>
<div class="stat-label">Unique Targets</div>
</div>
</div>
<div class="stats-footer">
Updated: {updated_at[:19]} UTC · Query: {latency}ms
</div>
</div>
'''
def generate_merkle_box_html() -> str:
"""Generate merkle root box with error handling."""
merkle = load_merkle_root()
if 'error' in merkle:
return f'''
<div style="background:rgba(239,68,68,0.1);border:1px solid rgba(239,68,68,0.4);border-radius:12px;padding:16px;margin:12px 0;">
<div style="color:#ef4444;font-weight:700;margin-bottom:8px;">⚠️ Merkle Root Unavailable</div>
<div style="color:#fca5a5;font-size:13px;">{merkle['error']}</div>
</div>
'''
if not merkle:
return '<div class="error-box">Merkle root unavailable</div>'
root = merkle.get('merkle_root', 'N/A')
total_obs = merkle.get('total_observations', 0)
algorithm = merkle.get('algorithm', 'N/A')
computed_at = merkle.get('computed_at', 'N/A')
return f'''
<div class="merkle-box">
<h3 class="merkle-title">Merkle Root <span style="color:#6b7280;font-size:11px;font-weight:400;">(cryptographic hash of all observations)</span></h3>
<div class="merkle-hash">{root}</div>
<div class="merkle-meta">
Algorithm: {algorithm}<br>
Observations: {total_obs}<br>
Computed: {computed_at[:19]} UTC
</div>
</div>
'''
def generate_merkle_timeline_html() -> str:
"""Generate merkle timeline box - VERIFIED DATA ONLY."""
timeline = load_merkle_timeline(10)
if not timeline:
return '<div style="background:#0a0a12;border:1px solid #1a1a2e;border-radius:16px;padding:24px;text-align:center;color:#6B7280;font-size:13px;">Merkle timeline: endpoint not yet deployed. Current merkle root is available above.</div>'
# Build timeline entries
entries_html = ""
for entry in reversed(timeline): # Most recent first
root = entry.get('merkle_root', 'N/A')[:16] + '...' # Truncate for display
total_obs = entry.get('total_observations', 0)
computed_at = entry.get('computed_at', 'N/A')[:19]
entries_html += f'''
<div class="timeline-entry">
<div class="timeline-time">{computed_at} UTC</div>
<div class="timeline-hash">{root}</div>
<div class="timeline-obs">{total_obs} observations</div>
</div>
'''
return f'''
<div class="merkle-timeline-box">
<h3 class="merkle-title">Merkle Timeline (Last 10)</h3>
<div class="timeline-entries">
{entries_html}
</div>
</div>
'''
def generate_truth_anchor_html() -> str:
"""Generate Truth Anchor - Registry source-of-truth only."""
# Get current timestamp for temporal validity
fetch_timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
# Format endpoints list
endpoints_list = "<br>".join([f" • {ep}" for ep in REGISTRY_ENDPOINTS])
return f'''
<div class="anchor-box">
<h3 class="anchor-title">⚓ Truth Anchor</h3>
<div class="anchor-section">
<div class="anchor-label">Code Repository</div>
<div class="anchor-value">
<a href="https://github.com/croviatrust" target="_blank" class="anchor-link">https://github.com/croviatrust</a><br>
<span style="color:#6B7280; font-size:11px;">Viewer-only Space. Registry backend not published here.</span>
</div>
</div>
<div class="anchor-section">
<div class="anchor-label">Registry Source-of-Truth</div>
<div class="anchor-value">
Base URL: <a href="{TPR_API_URL}" target="_blank" class="anchor-link">{TPR_API_URL}</a><br>
Endpoints:<br>
{endpoints_list}
</div>
</div>
<div class="anchor-section">
<div class="anchor-label">Temporal Validity</div>
<div class="anchor-value">
This Space reflects the registry state at last fetch.<br>
Last fetch: {fetch_timestamp} UTC
</div>
</div>
</div>
'''
CSS = """
.gradio-container {
max-width: 100% !important;
padding: 0 !important;
margin: 0 !important;
background: #030305 !important;
}
.main, .contain, .wrap {
max-width: 100% !important;
padding: 0 !important;
}
footer { display: none !important; }
.gr-form { background: transparent !important; border: none !important; }
.hero {
background: linear-gradient(180deg, #0a0a12 0%, #030305 100%);
padding: 60px 20px 40px;
text-align: center;
border-bottom: 1px solid #1a1a2e;
}
.hero-badge {
display: inline-block;
background: #8B5CF620;
border: 1px solid #8B5CF640;
color: #8B5CF6;
padding: 6px 16px;
border-radius: 20px;
font-size: 11px;
font-weight: 600;
letter-spacing: 0.1em;
text-transform: uppercase;
margin-bottom: 20px;
}
.hero-logo {
width: 70px;
height: 70px;
border-radius: 16px;
margin: 0 auto 20px;
background: linear-gradient(135deg, #8B5CF6 0%, #6D28D9 100%);
display: flex;
align-items: center;
justify-content: center;
box-shadow: 0 0 40px #8B5CF650;
}
.hero-logo img { width: 50px; height: 50px; }
.hero-title {
font-size: 42px;
font-weight: 900;
color: #fff;
letter-spacing: 0.15em;
margin: 0 0 12px 0;
text-shadow: 0 0 30px #8B5CF640;
}
.hero-subtitle {
color: #9CA3AF;
font-size: 18px;
font-weight: 500;
margin: 0 0 20px 0;
letter-spacing: 0.02em;
}
.hero-desc {
color: #9CA3AF;
font-size: 15px;
max-width: 700px;
margin: 0 auto 30px;
line-height: 1.7;
}
.hero-emphasis {
color: #8B5CF6;
font-weight: 600;
}
.hero-stats {
display: flex;
justify-content: center;
gap: 40px;
margin: 30px auto 0;
max-width: 900px;
flex-wrap: wrap;
}
.stat-item {
text-align: center;
}
.stat-label {
color: #6B7280;
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.1em;
font-weight: 600;
}
.stat-value {
color: #fff;
font-size: 16px;
font-weight: 700;
margin-top: 4px;
}
.stat-link {
color: #8B5CF6;
text-decoration: none;
font-size: 16px;
font-weight: 700;
}
.stat-link:hover {
color: #A78BFA;
}
.nav {
display: flex;
justify-content: center;
gap: 24px;
padding: 16px;
background: #050507;
border-bottom: 1px solid #1a1a2e;
flex-wrap: wrap;
}
.nav a {
color: #9CA3AF;
text-decoration: none;
font-size: 13px;
font-weight: 500;
transition: color 0.2s;
}
.nav a:hover { color: #8B5CF6; }
.search-section {
max-width: 700px;
margin: 40px auto;
padding: 0 20px;
}
.search-box {
display: flex;
gap: 12px;
}
input[type="text"], textarea {
flex: 1;
background: #0a0a12 !important;
border: 2px solid #1a1a2e !important;
color: #fff !important;
border-radius: 12px !important;
padding: 16px 20px !important;
font-size: 16px !important;
}
input:focus, textarea:focus {
border-color: #8B5CF6 !important;
box-shadow: 0 0 20px #8B5CF620 !important;
outline: none !important;
}
button.primary {
background: linear-gradient(135deg, #8B5CF6 0%, #6D28D9 100%) !important;
border: none !important;
padding: 16px 32px !important;
border-radius: 12px !important;
font-weight: 700 !important;
font-size: 14px !important;
letter-spacing: 0.05em !important;
color: #fff !important;
cursor: pointer !important;
transition: all 0.2s;
}
button.primary:hover {
transform: translateY(-2px);
box-shadow: 0 10px 30px #8B5CF650 !important;
}
.error-box { background: #1a0a0a; border: 1px solid #EF4444; border-radius: 12px; padding: 20px; color: #EF4444; text-align: center; }
.stats-section {
max-width: 1200px;
margin: 40px auto;
padding: 0 20px;
}
.stats-box {
background: #0a0a12;
border: 1px solid #1a1a2e;
border-radius: 16px;
padding: 30px;
margin-bottom: 20px;
}
.stats-title {
color: #8B5CF6;
font-size: 14px;
font-weight: 700;
letter-spacing: 0.1em;
text-transform: uppercase;
margin-bottom: 20px;
text-align: center;
}
.stats-grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
gap: 20px;
margin-bottom: 20px;
}
.stat-item {
text-align: center;
}
.stat-value {
color: #fff;
font-size: 32px;
font-weight: 900;
margin-bottom: 8px;
}
.stat-label {
color: #6B7280;
font-size: 11px;
text-transform: uppercase;
letter-spacing: 0.1em;
}
.stats-footer {
color: #4B5563;
font-size: 11px;
text-align: center;
padding-top: 20px;
border-top: 1px solid #1a1a2e;
font-family: monospace;
}
.merkle-box {
background: #0a0a12;
border: 1px solid #1a1a2e;
border-radius: 16px;
padding: 30px;
margin-bottom: 20px;
}
.merkle-title {
color: #8B5CF6;
font-size: 14px;
font-weight: 700;
letter-spacing: 0.1em;
text-transform: uppercase;
margin-bottom: 20px;
text-align: center;
}
.merkle-hash {
background: #050507;
border: 1px solid #1a1a2e;
border-radius: 8px;
padding: 16px;
color: #22C55E;
font-family: monospace;
font-size: 13px;
word-break: break-all;
margin-bottom: 16px;
text-align: center;
}
.merkle-meta {
color: #6B7280;
font-size: 12px;
text-align: center;
line-height: 1.8;
}
.merkle-timeline-box {
background: #0a0a12;
border: 1px solid #1a1a2e;
border-radius: 16px;
padding: 30px;
margin-bottom: 20px;
}
.timeline-entries {
max-height: 400px;
overflow-y: auto;
}
.timeline-entry {
background: #050507;
border: 1px solid #1a1a2e;
border-radius: 8px;
padding: 12px 16px;
margin-bottom: 10px;
display: flex;
justify-content: space-between;
align-items: center;
gap: 12px;
}
.timeline-time {
color: #9CA3AF;
font-size: 11px;
font-family: monospace;
min-width: 150px;
}
.timeline-hash {
color: #22C55E;
font-size: 11px;
font-family: monospace;
flex: 1;
}
.timeline-obs {
color: #6B7280;
font-size: 11px;
min-width: 120px;
text-align: right;
}
.anchor-box {
background: #0a0a12;
border: 1px solid #1a1a2e;
border-radius: 16px;
padding: 30px;
margin-bottom: 20px;
}
.anchor-title {
color: #8B5CF6;
font-size: 14px;
font-weight: 700;
letter-spacing: 0.1em;
text-transform: uppercase;
margin-bottom: 20px;
text-align: center;
}
.anchor-section {
margin-bottom: 20px;
padding-bottom: 20px;
border-bottom: 1px solid #1a1a2e;
}
.anchor-section:last-child {
border-bottom: none;
margin-bottom: 0;
padding-bottom: 0;
}
.anchor-label {
color: #8B5CF6;
font-size: 11px;
font-weight: 600;
letter-spacing: 0.05em;
text-transform: uppercase;
margin-bottom: 8px;
}
.anchor-value {
color: #9CA3AF;
font-size: 13px;
line-height: 1.8;
font-family: monospace;
}
.anchor-link {
color: #8B5CF6;
text-decoration: none;
word-break: break-all;
}
.anchor-link:hover {
color: #A78BFA;
text-decoration: underline;
}
.observations-section {
background: #050507;
padding: 40px 20px;
border-top: 1px solid #1a1a2e;
}
.observations-title {
text-align: center;
color: #fff;
font-size: 24px;
font-weight: 700;
margin-bottom: 8px;
}
.observations-sub {
text-align: center;
color: #6B7280;
font-size: 13px;
margin-bottom: 30px;
}
.observations-grid {
display: grid;
grid-template-columns: repeat(auto-fill, minmax(320px, 1fr));
gap: 16px;
max-width: 1200px;
margin: 0 auto;
}
.observation-card {
background: #0a0a12;
border: 1px solid #1a1a2e;
border-radius: 12px;
padding: 20px;
transition: transform 0.2s, box-shadow 0.2s;
}
.observation-card:hover {
transform: translateY(-4px);
box-shadow: 0 10px 30px rgba(139, 92, 246, 0.15);
border-color: #8B5CF640;
}
.obs-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 12px;
}
.obs-type {
background: #8B5CF620;
color: #8B5CF6;
padding: 4px 12px;
border-radius: 6px;
font-size: 11px;
font-weight: 700;
letter-spacing: 0.05em;
}
.obs-timestamp {
color: #6B7280;
font-size: 11px;
font-family: monospace;
}
.obs-target {
color: #fff;
font-size: 16px;
font-weight: 600;
margin-bottom: 4px;
word-break: break-all;
}
.obs-days {
color: #8B5CF6;
font-size: 11px;
font-weight: 600;
margin-bottom: 8px;
letter-spacing: 0.05em;
}
.obs-meta {
color: #6B7280;
font-size: 12px;
}
.site-footer {
background: #030305;
border-top: 1px solid #1a1a2e;
padding: 40px 20px 30px;
text-align: center;
}
.footer-tagline {
color: #8B5CF6;
font-size: 14px;
font-weight: 600;
margin-bottom: 20px;
letter-spacing: 0.05em;
}
.footer-links { display: flex; justify-content: center; gap: 24px; margin-bottom: 20px; flex-wrap: wrap; }
.footer-links a { color: #6B7280; text-decoration: none; font-size: 13px; }
.footer-links a:hover { color: #8B5CF6; }
.footer-copy { color: #4B5563; font-size: 11px; margin-bottom: 8px; }
.footer-protocol { color: #374151; font-size: 10px; font-family: monospace; }
.cta-panel {
background: linear-gradient(180deg, rgba(139,92,246,0.16) 0%, rgba(3,3,5,0.0) 100%);
border: 1px solid rgba(139,92,246,0.35);
border-radius: 16px;
padding: 18px 18px 14px;
margin: 16px auto 18px;
max-width: 1180px;
}
.cta-title {
color: #EDE9FE;
font-weight: 800;
letter-spacing: 0.06em;
font-size: 12px;
text-transform: uppercase;
margin: 0 0 8px;
}
.cta-desc {
color: #A1A1AA;
font-size: 13px;
margin: 0 0 12px;
}
.cta-hint {
color: #9CA3AF;
font-size: 12px;
margin: 10px 0 0;
}
.cta-status {
color: #C4B5FD;
font-size: 12px;
margin: 8px 0 0;
}
/* Gradio dark theme overrides */
.gradio-container { background: transparent !important; }
.gradio-container * { color-scheme: dark; }
.gradio-container .markdown,
.gradio-container .markdown p,
.gradio-container .prose,
.gradio-container .prose p,
.gradio-container .md,
.gradio-container .md p {
color: #E5E7EB !important;
}
.gradio-container a { color: #A78BFA !important; }
.gradio-container a:hover { color: #C4B5FD !important; }
.gradio-container input,
.gradio-container textarea,
.gradio-container select,
.gradio-container pre,
.gradio-container code {
background: #0a0a12 !important;
color: #E5E7EB !important;
border: 1px solid #1a1a2e !important;
}
.gradio-container label,
.gradio-container .label {
color: #9CA3AF !important;
}
.gradio-container .block,
.gradio-container .gr-box,
.gradio-container .form,
.gradio-container .wrap,
.gradio-container .panel,
.gradio-container .gr-panel {
background: #050507 !important;
border-color: #1a1a2e !important;
}
.gradio-container button {
border: 1px solid #1a1a2e !important;
}
@media (max-width: 640px) {
.hero-title { font-size: 32px; }
.hero-subtitle { font-size: 16px; }
.hero-stats { gap: 20px; }
.nav { gap: 16px; }
.search-box { flex-direction: column; }
button.primary { width: 100%; }
.cards-grid { grid-template-columns: 1fr; }
}
"""
HEADER_HTML = f'''
<div class="hero">
<div class="hero-badge">� OPERATIONAL · PROTOCOL {PROTOCOL_VERSION}</div>
<div class="hero-logo">
<img src="https://huggingface.co/spaces/Crovia/omission-oracle/resolve/main/crovia-logo.png" alt="Crovia" onerror="this.style.display='none'">
</div>
<h1 class="hero-title">CROVIA</h1>
<p class="hero-subtitle">Training Provenance Registry Observer</p>
<p class="hero-desc">
Public evidence viewer. <span class="hero-emphasis">Observation, not judgment.</span>
Displays verifiable data from TPR Registry: observations, stats, merkle roots.
</p>
<div class="hero-stats">
<div class="stat-item">
<div class="stat-label">Protocol</div>
<div class="stat-value">{PROTOCOL_VERSION} · Feb 2026</div>
</div>
<div class="stat-item">
<div class="stat-label">Registry</div>
<a href="https://registry.croviatrust.com" target="_blank" class="stat-link">
Live API →
</a>
</div>
<div class="stat-item">
<div class="stat-label">Open Source</div>
<a href="https://github.com/croviatrust" target="_blank" class="stat-link">
GitHub →
</a>
</div>
</div>
</div>
<div class="nav">
<a href="https://croviatrust.com" target="_blank">Home</a>
<a href="https://registry.croviatrust.com/registry" target="_blank">Registry</a>
<a href="https://registry.croviatrust.com/registry/omissions" target="_blank">Omissions</a>
<a href="https://registry.croviatrust.com/registry/tpa" target="_blank" style="color:#f59e0b !important;font-weight:700;">TPA</a>
<a href="https://registry.croviatrust.com/registry/outreach" target="_blank" style="color:#10b981 !important;font-weight:700;">Outreach & Impact</a>
<a href="https://registry.croviatrust.com/registry/compliance" target="_blank" style="color:#3b82f6 !important;font-weight:700;">Compliance</a>
<a href="https://registry.croviatrust.com/registry/lineage/" target="_blank">Lineage</a>
<a href="https://github.com/croviatrust" target="_blank">GitHub</a>
</div>
'''
def generate_observations_html() -> str:
return '''
<div style="margin-top:24px;">
<div style="background:#12121a;border:1px solid #1e1e2e;border-radius:14px;overflow:hidden;">
<iframe src="https://registry.croviatrust.com/registry/lineage/"
style="width:100%;height:820px;border:none;background:#0a0a0f;"
loading="lazy"
sandbox="allow-scripts allow-same-origin"
title="Disclosure Lineage Graph">
</iframe>
</div>
</div>
'''
FOOTER_HTML = '''
<div class="site-footer">
<div class="footer-tagline">We observe. We record. We do not judge.</div>
<div class="footer-links">
<a href="https://croviatrust.com">Official Site</a>
<a href="https://registry.croviatrust.com/registry">Registry</a>
<a href="https://github.com/croviatrust">GitHub</a>
<a href="https://huggingface.co/datasets/Crovia/global-ai-training-omissions">Dataset</a>
</div>
<p class="footer-copy">© 2026 CroviaTrust. Training Provenance Registry.</p>
<p class="footer-protocol">Protocol v1.1 · Evidence-first, judgment-free.</p>
</div>
'''
_TARGET_CHOICES_CACHE: Optional[Tuple[List[str], List[str]]] = None
def _load_target_choices() -> Tuple[List[str], List[str]]:
global _TARGET_CHOICES_CACHE
if _TARGET_CHOICES_CACHE is not None:
return _TARGET_CHOICES_CACHE
try:
r = requests.get(f"{TPR_API_URL}/api/targets/summary", timeout=5)
if r.status_code != 200:
return ([], [])
targets = r.json().get('targets', []) or []
models = sorted({t.get('target_id') for t in targets if t.get('tipo_target') == 'model' and t.get('target_id')})
datasets = sorted({t.get('target_id') for t in targets if t.get('tipo_target') == 'dataset' and t.get('target_id')})
# Only cache non-empty results, so a transient outage doesn't "stick" forever.
if models or datasets:
_TARGET_CHOICES_CACHE = (models, datasets)
return (models, datasets)
except Exception:
return ([], [])
def _infer_tipo_target(target_id: str) -> str:
try:
r = requests.get(f"{TPR_API_URL}/api/targets/summary", timeout=5)
if r.status_code != 200:
return 'unknown'
targets = r.json().get('targets', []) or []
t = next((x for x in targets if x.get('target_id') == target_id), None)
return (t.get('tipo_target') if isinstance(t, dict) else None) or 'unknown'
except Exception:
return 'unknown'
def _hf_api_url(tipo_target: str, target_id: str) -> Optional[str]:
if tipo_target == 'model':
return f"https://huggingface.co/api/models/{target_id}"
if tipo_target == 'dataset':
return f"https://huggingface.co/api/datasets/{target_id}"
return None
def _hf_readme_url(tipo_target: str, target_id: str) -> Optional[str]:
if tipo_target == 'model':
return f"https://huggingface.co/{target_id}/raw/main/README.md"
if tipo_target == 'dataset':
return f"https://huggingface.co/datasets/{target_id}/raw/main/README.md"
return None
def _fetch_text(url: str) -> Tuple[Optional[str], Dict[str, Any]]:
meta: Dict[str, Any] = {"url": url}
try:
r = requests.get(url, timeout=15)
meta["http_status"] = r.status_code
meta["fetched_at"] = datetime.now(timezone.utc).isoformat().replace('+00:00', 'Z')
if r.status_code != 200:
meta["error"] = f"HTTP {r.status_code}"
return None, meta
return r.text, meta
except Exception as e:
meta["error"] = f"{type(e).__name__}: {e}"
return None, meta
def _fetch_json(url: str) -> Tuple[Optional[Dict[str, Any]], Dict[str, Any]]:
meta: Dict[str, Any] = {"url": url}
try:
r = requests.get(url, timeout=15)
meta["http_status"] = r.status_code
meta["fetched_at"] = datetime.now(timezone.utc).isoformat().replace('+00:00', 'Z')
if r.status_code != 200:
meta["error"] = f"HTTP {r.status_code}"
return None, meta
return r.json(), meta
except Exception as e:
meta["error"] = f"{type(e).__name__}: {e}"
return None, meta
def _sha256_hex(s: str) -> str:
return hashlib.sha256(s.encode('utf-8', errors='replace')).hexdigest()
def generate_disclosure_fingerprint(target_id: str) -> str:
if not target_id:
return json.dumps({"error": "missing target_id"}, indent=2)
tipo = _infer_tipo_target(target_id)
api_url = _hf_api_url(tipo, target_id)
readme_url = _hf_readme_url(tipo, target_id)
api_json: Optional[Dict[str, Any]] = None
api_meta: Dict[str, Any] = {}
if api_url:
api_json, api_meta = _fetch_json(api_url)
readme_text: Optional[str] = None
readme_meta: Dict[str, Any] = {}
if readme_url:
readme_text, readme_meta = _fetch_text(readme_url)
readme_access = "unknown"
try:
status = int(readme_meta.get('http_status')) if readme_meta.get('http_status') is not None else None
if status == 200:
readme_access = "ok"
elif status == 401 or status == 403:
readme_access = "forbidden"
elif status == 404:
readme_access = "not_found"
elif status is not None:
readme_access = "error"
except Exception:
readme_access = "error"
card_data = (api_json.get('cardData') if isinstance(api_json, dict) else None) or {}
license_val = card_data.get('license') if isinstance(card_data, dict) else None
datasets_declared = card_data.get('datasets') if isinstance(card_data, dict) else None
tags_val = api_json.get('tags') if isinstance(api_json, dict) else None
lang_val = card_data.get('language') if isinstance(card_data, dict) else None
tags_list: List[str] = []
if isinstance(tags_val, list):
tags_list = [str(x) for x in tags_val if x is not None]
elif isinstance(tags_val, str):
tags_list = [tags_val]
lang_list: List[str] = []
if isinstance(lang_val, list):
lang_list = [str(x) for x in lang_val if x is not None]
elif isinstance(lang_val, str):
lang_list = [lang_val]
has_training_section = False
if readme_text:
has_training_section = bool(re.search(r"^##\s+training\b", readme_text, flags=re.IGNORECASE | re.MULTILINE))
card_canonical = json.dumps(card_data, sort_keys=True, separators=(',', ':'), ensure_ascii=True)
card_hash = _sha256_hex(card_canonical)
readme_hash = _sha256_hex(readme_text) if readme_text else None
extracted = {
"license": license_val,
"declared_datasets": datasets_declared,
"tags_count": len(tags_list),
"tags_sample": tags_list[:25],
"tags_hash": _sha256_hex(json.dumps(tags_list, sort_keys=True, separators=(',', ':'), ensure_ascii=True)),
"language_count": len(lang_list),
"language_sample": lang_list[:25],
"language_hash": _sha256_hex(json.dumps(lang_list, sort_keys=True, separators=(',', ':'), ensure_ascii=True)),
"has_training_section": has_training_section,
"readme_access": readme_access,
}
ddf = {
"schema": "crovia.open.ddf_preview.v1",
"target_id": target_id,
"tipo_target": tipo,
"observed_at": datetime.now(timezone.utc).isoformat().replace('+00:00', 'Z'),
"sources": {
"registry": f"{TPR_API_URL}/api/targets/summary",
"hf_api": api_meta,
"hf_readme": readme_meta,
},
"extracted": extracted,
"hashes": {
"card_hash": card_hash,
"readme_hash": readme_hash,
},
}
ddf_canonical = json.dumps(ddf, sort_keys=True, separators=(',', ':'), ensure_ascii=True)
ddf["hashes"]["ddf_hash"] = _sha256_hex(ddf_canonical)
return json.dumps(ddf, indent=2, ensure_ascii=False)
def linkage_probe(model_id: str, dataset_id: str) -> str:
if not model_id or not dataset_id:
return json.dumps({"error": "missing model_id or dataset_id"}, indent=2)
model_api_url = _hf_api_url('model', model_id)
model_readme_url = _hf_readme_url('model', model_id)
api_json, api_meta = _fetch_json(model_api_url) if model_api_url else (None, {})
readme_text, readme_meta = _fetch_text(model_readme_url) if model_readme_url else (None, {})
readme_access = "unknown"
try:
status = int(readme_meta.get('http_status')) if readme_meta.get('http_status') is not None else None
if status == 200:
readme_access = "ok"
elif status == 401 or status == 403:
readme_access = "forbidden"
elif status == 404:
readme_access = "not_found"
elif status is not None:
readme_access = "error"
except Exception:
readme_access = "error"
card_data = (api_json.get('cardData') if isinstance(api_json, dict) else None) or {}
declared = card_data.get('datasets') if isinstance(card_data, dict) else None
declared_list: List[str] = []
if isinstance(declared, list):
declared_list = [str(x) for x in declared if x is not None]
elif isinstance(declared, str):
declared_list = [declared]
declared_hit = any(x.strip().lower() == dataset_id.strip().lower() for x in declared_list)
mention_hit = False
mention_evidence: List[str] = []
if readme_text:
low = readme_text.lower()
ds = dataset_id.lower()
if ds in low:
mention_hit = True
mention_evidence.append("readme_text:dataset_id")
ds_short = dataset_id.split('/')[-1].lower()
if ds_short and ds_short in low and ds_short != ds:
mention_hit = True
mention_evidence.append("readme_text:dataset_slug")
if f"huggingface.co/datasets/{ds}" in low:
mention_hit = True
mention_evidence.append("readme_text:hf_dataset_url")
status = "not_observed"
support = "none"
if declared_hit:
status = "declared"
support = "strong"
elif mention_hit:
status = "mention"
support = "weak"
out = {
"schema": "crovia.open.linkage_probe.v1",
"model_id": model_id,
"dataset_id": dataset_id,
"observed_at": datetime.now(timezone.utc).isoformat().replace('+00:00', 'Z'),
"status": status,
"support": support,
"coverage": {
"readme_access": readme_access,
},
"evidence": {
"hf_model_api": api_meta,
"hf_model_readme": readme_meta,
"declared_datasets": declared_list,
"mention_evidence": mention_evidence,
},
"hashes": {
"model_card_hash": _sha256_hex(json.dumps(card_data, sort_keys=True, separators=(',', ':'), ensure_ascii=True)),
"model_readme_hash": _sha256_hex(readme_text) if readme_text else None,
},
"note": "This does not establish usage. It only reports whether a public linkage was observed.",
}
out_canonical = json.dumps(out, sort_keys=True, separators=(',', ':'), ensure_ascii=True)
out["hashes"]["probe_hash"] = _sha256_hex(out_canonical)
return json.dumps(out, indent=2, ensure_ascii=False)
_OUTREACH_CACHE: Dict[str, Any] = {"ts": 0.0, "items": []}
_OUTREACH_TTL_SEC = 600 # 10 min
# --- Dynamic peer comparison from lineage graph (cached) ---
_PEER_CACHE: Dict[str, Any] = {"ts": 0.0, "data": None}
_PEER_TTL_SEC = 600 # 10 min
def _load_peer_comparison() -> Dict[str, Any]:
"""Fetch peer comparison metrics from live lineage graph. Cached 10 min."""
import time as _t
now = _t.time()
if now - _PEER_CACHE["ts"] < _PEER_TTL_SEC and _PEER_CACHE["data"]:
return _PEER_CACHE["data"]
fallback = {"doc_rate": 83.5, "total_models": 141, "total_orgs": 70, "generated_at": "unknown"}
try:
r = requests.get("https://registry.croviatrust.com/registry/data/lineage_graph.json", timeout=10)
if r.status_code == 200:
d = r.json()
metrics = d.get("metrics", {})
nodes = d.get("nodes", [])
models = [n for n in nodes if n.get("type") == "model"]
shadows = [n for n in nodes if n.get("type") == "shadow"]
orgs = [n for n in nodes if n.get("type") == "org"]
total = len(models) + len(shadows)
doc_rate = round((len(models) / total * 100), 1) if total > 0 else 0.0
result = {
"doc_rate": doc_rate,
"total_models": total,
"total_orgs": len(orgs),
"generated_at": d.get("generated_at", "unknown"),
}
_PEER_CACHE["ts"] = now
_PEER_CACHE["data"] = result
return result
except Exception:
pass
return _PEER_CACHE["data"] or fallback
# --- Public organization revenue (from SEC filings, cited) ---
_ORG_PUBLIC_REVENUE = {
"google": {"legal": "Alphabet Inc.", "usd": "$307.4B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"google-bert":{"legal": "Alphabet Inc.", "usd": "$307.4B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"google-t5": {"legal": "Alphabet Inc.", "usd": "$307.4B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"meta-llama":{"legal": "Meta Platforms, Inc.", "usd": "$134.9B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"facebook": {"legal": "Meta Platforms, Inc.", "usd": "$134.9B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"FacebookAI":{"legal": "Meta Platforms, Inc.", "usd": "$134.9B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"microsoft": {"legal": "Microsoft Corporation", "usd": "$211.9B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"nvidia": {"legal": "NVIDIA Corporation", "usd": "$60.9B", "src": "Form 10-K, FY2024, SEC EDGAR"},
"amazon": {"legal": "Amazon.com, Inc.", "usd": "$574.8B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"Salesforce":{"legal": "Salesforce, Inc.", "usd": "$34.9B", "src": "Form 10-K, FY2024, SEC EDGAR"},
"ibm-granite":{"legal":"IBM Corporation", "usd": "$61.9B", "src": "Form 10-K, FY2023, SEC EDGAR"},
"Qwen": {"legal": "Alibaba Group", "usd": "$125.7B", "src": "Form 20-F, FY2024, SEC EDGAR"},
"OpenGVLab": {"legal": "Shanghai AI Laboratory", "usd": None, "src": None},
}
# --- Published regulation citations (verbatim article text) ---
_REGULATIONS = [
{
"name": "EU AI Act",
"reg": "Regulation (EU) 2024/1689",
"art": "Art. 101(1)",
"text": "up to EUR 15,000,000 or, if the offender is an undertaking, up to 3% of its total worldwide annual turnover for the preceding financial year, whichever is higher",
"scope": "Obligations for providers of general-purpose AI models (Art. 53)",
"src": "Official Journal of the European Union, L series, 12 July 2024",
"nec": ["NEC#1", "NEC#2", "NEC#7", "NEC#10", "NEC#13"],
},
{
"name": "EU GDPR",
"reg": "Regulation (EU) 2016/679",
"art": "Art. 83(5)",
"text": "up to EUR 20,000,000 or, in the case of an undertaking, up to 4% of the total worldwide annual turnover of the preceding financial year, whichever is higher",
"scope": "Infringements of basic principles for processing, including data provenance",
"src": "Official Journal of the European Union, L 119, 4 May 2016",
"nec": ["NEC#1", "NEC#2"],
},
]
def _load_outreach_data() -> List[Dict[str, Any]]:
"""Load per-model outreach data from HF dataset (sent_discussions.jsonl)."""
import time as _t
now = _t.time()
if now - _OUTREACH_CACHE["ts"] < _OUTREACH_TTL_SEC and _OUTREACH_CACHE["items"]:
return _OUTREACH_CACHE["items"]
try:
url = "https://huggingface.co/datasets/Crovia/global-ai-training-omissions/resolve/main/sent_discussions.jsonl"
r = requests.get(url, timeout=15)
if r.status_code == 200:
entries = []
for line in r.text.strip().split('\n'):
if line.strip():
entries.append(json.loads(line))
_OUTREACH_CACHE["ts"] = now
_OUTREACH_CACHE["items"] = entries
return entries
except Exception:
pass
return _OUTREACH_CACHE["items"] or []
def _get_target_tpa(target_id: str) -> Optional[Dict[str, Any]]:
"""Find TPA data for a specific target."""
tpa_data = _load_tpa_latest()
if not tpa_data or not tpa_data.get('tpas'):
return None
for tpa in tpa_data['tpas']:
if tpa.get('model_id') == target_id:
return tpa
return None
def generate_model_lookup_html(target_id: str) -> str:
"""Generate comprehensive evidence profile HTML for a single target."""
if not target_id:
return '<div style="color:#71717a;text-align:center;padding:40px;">Select a target from the dropdown above.</div>'
# --- 1. Registry data ---
reg_data = None
try:
r = requests.get(f"{TPR_API_URL}/api/targets/summary", timeout=5)
if r.status_code == 200:
targets = r.json().get('targets', [])
reg_data = next((t for t in targets if t.get('target_id') == target_id), None)
except Exception:
pass
if not reg_data:
days = 0; obs_count = 0; streak = 0
first_seen = "Not yet observed"; last_seen = "\u2014"
not_in_registry = True
else:
days = int(reg_data.get('days_monitored', 0) or 0)
obs_count = int(reg_data.get('observation_count', 0) or 0)
streak = int(reg_data.get('absence_streak_days', 0) or 0)
first_seen = (reg_data.get('first_seen') or '')[:19] or "\u2014"
last_seen = (reg_data.get('last_seen') or '')[:19] or "\u2014"
not_in_registry = False
# --- 2. TPA data ---
tpa = _get_target_tpa(target_id)
tpa_html = ""
nec_html = ""
jurisdictions_count = 0
gaps_count = 0
if tpa:
obs = tpa.get('observations', [])
absent = [o for o in obs if not o.get('is_present')]
present = [o for o in obs if o.get('is_present')]
jurs = tpa.get('jurisdiction_exposures', [])
jurisdictions_count = tpa.get('total_jurisdictions_exposed', len(jurs))
gaps_count = len(absent)
merkle = tpa.get('merkle_root', '')[:24]
tpa_id = tpa.get('tpa_id', '\u2014')
nec_rows = ""
for o in sorted(obs, key=lambda x: x.get('necessity_id', '')):
nec_id = o.get('necessity_id', '')
nec_name = o.get('necessity_name', '')
is_present = o.get('is_present', False)
bar_color = "#22c55e" if is_present else "#ef4444"
bar_bg = "#22c55e15" if is_present else "#ef444415"
status_text = "DOCUMENTED" if is_present else "NOT DOCUMENTED"
nec_rows += f'''<div style="display:flex;align-items:center;justify-content:space-between;padding:10px 16px;background:{bar_bg};border-left:3px solid {bar_color};border-radius:0 8px 8px 0;margin-bottom:6px;">
<div><span style="color:#fff;font-weight:700;font-family:monospace;font-size:13px;">{nec_id}</span><span style="color:#a1a1aa;font-size:12px;margin-left:8px;">{nec_name}</span></div>
<span style="color:{bar_color};font-weight:700;font-size:11px;letter-spacing:0.05em;">{status_text}</span>
</div>'''
nec_html = f'''<div style="margin-top:24px;">
<div style="color:#a78bfa;font-weight:700;font-size:13px;letter-spacing:0.08em;margin-bottom:12px;">DOCUMENTATION GAPS OBSERVED</div>
{nec_rows}
<div style="color:#71717a;font-size:11px;font-style:italic;margin-top:8px;">Based on model card analysis at time of observation.</div>
</div>'''
tpa_html = f'''<div style="margin-top:24px;background:#0f0f1a;border:1px solid #1a1a2e;border-radius:12px;padding:16px;">
<div style="color:#f59e0b;font-weight:700;font-size:13px;letter-spacing:0.08em;margin-bottom:12px;">TEMPORAL PROOF OF ABSENCE</div>
<div style="display:grid;grid-template-columns:1fr 1fr;gap:8px;font-size:12px;">
<div><span style="color:#71717a;">TPA ID:</span> <span style="color:#fff;font-family:monospace;">{tpa_id}</span></div>
<div><span style="color:#71717a;">Verification:</span> <span style="color:#22c55e;font-weight:700;">26/26 checks</span></div>
<div><span style="color:#71717a;">Merkle:</span> <span style="color:#22c55e;font-family:monospace;">{merkle}...</span></div>
<div><span style="color:#71717a;">Crypto:</span> <span style="color:#a1a1aa;">Pedersen secp256k1 · Ed25519</span></div>
</div>
</div>'''
if jurs:
jur_tags = ' '.join(
f'<span style="padding:3px 8px;background:#8B5CF610;border:1px solid #8B5CF644;border-radius:5px;font-size:10px;color:#A78BFA;">{j.get("jurisdiction_name","")}</span>'
for j in jurs
)
tpa_html += f'''<div style="margin-top:12px;">
<div style="color:#71717a;font-size:10px;text-transform:uppercase;letter-spacing:1px;margin-bottom:8px;">Jurisdictions Exposed ({jurisdictions_count})</div>
<div style="display:flex;flex-wrap:wrap;gap:6px;">{jur_tags}</div>
</div>'''
# --- 2b. NEC# fallback when no TPA: real-time HF metadata check ---
if not tpa and not not_in_registry:
tipo = _infer_tipo_target(target_id)
api_url = _hf_api_url(tipo, target_id)
readme_url = _hf_readme_url(tipo, target_id)
hf_api_json = None
hf_readme_text = None
try:
if api_url:
hf_api_json, _ = _fetch_json(api_url)
if readme_url:
hf_readme_text, _ = _fetch_text(readme_url)
except Exception:
pass
card_d = (hf_api_json.get('cardData') if isinstance(hf_api_json, dict) else None) or {}
license_val = card_d.get('license') if isinstance(card_d, dict) else None
datasets_declared = card_d.get('datasets') if isinstance(card_d, dict) else None
has_training = bool(hf_readme_text and re.search(r'(?i)##\s+training', hf_readme_text))
has_usage = bool(hf_readme_text and re.search(r'(?i)##\s+(intended\s+)?use', hf_readme_text))
has_temporal = bool(card_d.get('created_at') or (hf_readme_text and re.search(r'(?i)(version|date|release)', hf_readme_text)))
has_entity = bool(hf_api_json.get('author') if isinstance(hf_api_json, dict) else False)
nec_checks = [
("NEC#1", "Data Provenance", bool(datasets_declared) or has_training),
("NEC#2", "License Attribution", bool(license_val)),
("NEC#7", "Usage Scope", has_usage),
("NEC#10", "Temporal Validity", has_temporal),
("NEC#13", "Accountable Entity", has_entity),
]
gaps_count = sum(1 for _, _, present in nec_checks if not present)
nec_rows = ""
for nec_id, nec_name, is_present in nec_checks:
bar_color = "#22c55e" if is_present else "#ef4444"
bar_bg = "#22c55e15" if is_present else "#ef444415"
status_text = "DOCUMENTED" if is_present else "NOT DOCUMENTED"
nec_rows += f'''<div style="display:flex;align-items:center;justify-content:space-between;padding:10px 16px;background:{bar_bg};border-left:3px solid {bar_color};border-radius:0 8px 8px 0;margin-bottom:6px;">
<div><span style="color:#fff;font-weight:700;font-family:monospace;font-size:13px;">{nec_id}</span><span style="color:#a1a1aa;font-size:12px;margin-left:8px;">{nec_name}</span></div>
<span style="color:{bar_color};font-weight:700;font-size:11px;letter-spacing:0.05em;">{status_text}</span>
</div>'''
nec_html = f'''<div style="margin-top:24px;">
<div style="color:#a78bfa;font-weight:700;font-size:13px;letter-spacing:0.08em;margin-bottom:12px;">DOCUMENTATION GAPS OBSERVED</div>
{nec_rows}
<div style="color:#71717a;font-size:11px;font-style:italic;margin-top:8px;">Real-time check from public HuggingFace metadata. No TPA generated yet for this target.</div>
</div>'''
# --- 3. Outreach data ---
outreach_html = ""
try:
entries = _load_outreach_data()
if isinstance(entries, list):
entry = next((e for e in entries if e.get('repo_id') == target_id or e.get('target_id') == target_id or e.get('model_id') == target_id), None)
if entry:
status = entry.get('status', 'unknown')
disc_url = entry.get('discussion_url', '')
sent_date = (entry.get('sent_at') or entry.get('created_at') or '')[:10]
status_color = "#f59e0b" if status == "pending" else "#22c55e" if status in ("responded","acknowledged") else "#ef4444" if status == "closed" else "#71717a"
disc_link = f'<a href="{disc_url}" target="_blank" style="color:#8B5CF6 !important;text-decoration:none;font-size:12px;">View discussion →</a>' if disc_url else ''
outreach_html = f'''<div style="margin-top:24px;background:#0f0f1a;border:1px solid #1a1a2e;border-radius:12px;padding:16px;">
<div style="color:#10b981;font-weight:700;font-size:13px;letter-spacing:0.08em;margin-bottom:12px;">OUTREACH</div>
<div style="display:grid;grid-template-columns:1fr 1fr;gap:8px;font-size:12px;">
<div><span style="color:#71717a;">Discussion sent:</span> <span style="color:#fff;">{sent_date}</span></div>
<div><span style="color:#71717a;">Status:</span> <span style="color:{status_color};font-weight:700;text-transform:uppercase;">{status}</span></div>
</div>
<div style="margin-top:8px;">{disc_link}</div>
</div>'''
except Exception:
pass
# --- 4. Stats cards ---
freq = f"{obs_count/max(days,1):.1f}" if days > 0 else "0"
stats_html = f'''<div style="display:grid;grid-template-columns:repeat(4,1fr);gap:12px;margin-bottom:20px;">
<div style="background:#262640;border-radius:12px;padding:16px;text-align:center;">
<div style="color:#60a5fa;font-size:28px;font-weight:800;">{days}</div>
<div style="color:#a1a1aa;font-size:10px;text-transform:uppercase;letter-spacing:1px;">Days Monitored</div>
</div>
<div style="background:#262640;border-radius:12px;padding:16px;text-align:center;">
<div style="color:#f59e0b;font-size:28px;font-weight:800;">{obs_count}</div>
<div style="color:#a1a1aa;font-size:10px;text-transform:uppercase;letter-spacing:1px;">Observations</div>
</div>
<div style="background:#262640;border-radius:12px;padding:16px;text-align:center;">
<div style="color:#ef4444;font-size:28px;font-weight:800;">{gaps_count}</div>
<div style="color:#a1a1aa;font-size:10px;text-transform:uppercase;letter-spacing:1px;">Gaps Observed</div>
</div>
<div style="background:#262640;border-radius:12px;padding:16px;text-align:center;">
<div style="color:#a78bfa;font-size:28px;font-weight:800;">{jurisdictions_count}</div>
<div style="color:#a1a1aa;font-size:10px;text-transform:uppercase;letter-spacing:1px;">Jurisdictions</div>
</div>
</div>'''
# --- 5. Timeline ---
timeline_html = ""
if not not_in_registry:
streak_color = "#ef4444" if streak > 7 else "#f59e0b" if streak > 3 else "#a1a1aa"
timeline_html = f'''<div style="margin-top:4px;display:grid;grid-template-columns:1fr 1fr;gap:8px;font-size:12px;">
<div><span style="color:#71717a;">First observed:</span> <span style="color:#fff;font-family:monospace;">{first_seen} UTC</span></div>
<div><span style="color:#71717a;">Last observed:</span> <span style="color:#fff;font-family:monospace;">{last_seen} UTC</span></div>
<div><span style="color:#71717a;">Absence streak:</span> <span style="color:{streak_color};font-weight:700;">{streak} days</span></div>
<div><span style="color:#71717a;">Observation freq:</span> <span style="color:#a1a1aa;">{freq}/day</span></div>
</div>'''
# --- 6. Regulatory Context (public ingredients — no computed figures) ---
reg_ctx_html = ""
if gaps_count > 0:
org_id = target_id.split("/")[0] if "/" in target_id else target_id
org_info = _ORG_PUBLIC_REVENUE.get(org_id)
# Collect which NEC# IDs are absent
absent_nec_ids = set()
if tpa:
for o in tpa.get('observations', []):
if not o.get('is_present'):
absent_nec_ids.add(o.get('necessity_id', ''))
else:
# Fallback: use real-time NEC check results if available
try:
absent_nec_ids = {nid for nid, _, is_p in nec_checks if not is_p}
except Exception:
absent_nec_ids = set()
# Peer comparison (dynamic from lineage graph API)
_peer = _load_peer_comparison()
peer_html = f'''<div style="margin-bottom:16px;padding:14px;background:rgba(124,58,237,0.12);border-radius:8px;border-left:3px solid #a78bfa;">
<span style="color:#c4b5fd !important;font-size:12px;font-weight:700;letter-spacing:0.08em;">PEER COMPARISON</span>
<p style="color:#fff !important;font-size:14px;margin-top:6px;">
<strong style="color:#a78bfa !important;font-size:18px;">{_peer["doc_rate"]}%</strong> of comparable monitored models document their training data sources.
</p>
<p style="color:#a1a1aa !important;font-size:11px;margin-top:4px;">Source: CROVIA Lineage Graph — {_peer["total_models"]} models, {_peer["total_orgs"]} organizations analyzed. Updated daily.</p>
</div>'''
# Applicable regulations (only show those matching observed gaps)
regs_rows = ""
applicable_count = 0
for reg in _REGULATIONS:
matching = [n for n in reg["nec"] if n in absent_nec_ids]
if not matching:
continue
applicable_count += 1
match_tags = ' '.join(
f'<span style="padding:2px 8px;background:rgba(239,68,68,0.2);border:1px solid rgba(239,68,68,0.4);border-radius:4px;font-size:10px;color:#fca5a5 !important;font-family:monospace;font-weight:700;">{m}</span>'
for m in matching
)
regs_rows += f'''<div style="padding:14px;border:1px solid #2a2a3e;border-radius:8px;margin-bottom:10px;background:#0d0d18;">
<div style="display:flex;justify-content:space-between;align-items:flex-start;flex-wrap:wrap;gap:6px;">
<strong style="color:#fff !important;font-size:14px;">{reg["name"]} — {reg["reg"]}</strong>
<span style="color:#a1a1aa !important;font-size:11px;font-weight:600;">{reg["art"]}</span>
</div>
<p style="color:#fbbf24 !important;font-size:13px;margin-top:8px;line-height:1.6;font-style:italic;">
“{reg["text"]}”
</p>
<p style="color:#a1a1aa !important;font-size:12px;margin-top:6px;">Scope: {reg["scope"]}</p>
<div style="margin-top:8px;display:flex;gap:6px;align-items:center;flex-wrap:wrap;">
<span style="color:#a1a1aa !important;font-size:11px;">Gaps observed:</span> {match_tags}
</div>
<p style="color:#71717a !important;font-size:10px;font-style:italic;margin-top:6px;">Source: {reg["src"]}</p>
</div>'''
regs_html = ""
if regs_rows:
regs_html = f'''<div style="margin-bottom:16px;">
<span style="color:#fbbf24 !important;font-size:12px;font-weight:700;letter-spacing:0.08em;">APPLICABLE REGULATIONS ({applicable_count})</span>
<div style="margin-top:10px;">{regs_rows}</div>
</div>'''
# Organization revenue (only for major public companies with SEC filings)
org_html = ""
if org_info and org_info.get("usd"):
org_html = f'''<div style="margin-bottom:16px;">
<span style="color:#60a5fa !important;font-size:12px;font-weight:700;letter-spacing:0.08em;">ORGANIZATION</span>
<p style="color:#fff !important;font-size:14px;margin-top:8px;">
{org_info["legal"]} — Annual Revenue: <strong style="color:#60a5fa !important;font-size:18px;">{org_info["usd"]}</strong>
</p>
<p style="color:#a1a1aa !important;font-size:11px;margin-top:4px;">Source: {org_info["src"]}</p>
</div>'''
# PRO CTA
pro_cta = f'''<div style="text-align:center;padding:16px;background:rgba(124,58,237,0.15);border-radius:10px;border:1px solid rgba(124,58,237,0.4);margin-top:18px;">
<p style="color:#c4b5fd !important;font-size:13px;margin-bottom:8px;">Quantitative regulatory exposure analysis available</p>
<a href="mailto:info@croviatrust.com?subject=CROVIA%20PRO%20%E2%80%94%20Regulatory%20Exposure%20Analysis%20%E2%80%94%20{target_id}"
style="color:#a78bfa !important;font-weight:700;text-decoration:none;font-size:14px;">→ Contact for CROVIA PRO</a>
</div>'''
# Disclaimer
disclaimer = '''<p style="color:#71717a !important;font-size:10px;font-style:italic;margin-top:12px;text-align:center;line-height:1.5;">
This section presents published regulatory frameworks and factual observations.
It constitutes neither legal advice nor determination of violation.
All penalty ranges are maximum statutory amounts as published in official regulatory texts.
</p>'''
reg_ctx_html = f'''<div style="margin-top:24px;background:#0d0d18;border:1px solid #2a2a3e;border-radius:12px;padding:22px;">
<div style="color:#a78bfa !important;font-weight:800;font-size:16px;margin-bottom:18px;letter-spacing:0.03em;">REGULATORY CONTEXT</div>
{peer_html}
{regs_html}
{org_html}
{pro_cta}
{disclaimer}
</div>'''
# --- Assemble ---
hf_link = f'https://huggingface.co/{target_id}'
generated_at = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S")
return f'''<div style="background:#1a1a2e;border-radius:16px;padding:24px;margin:12px 0;">
<div style="display:flex;justify-content:space-between;align-items:flex-start;margin-bottom:20px;flex-wrap:wrap;gap:8px;">
<div>
<div style="color:#fff;font-size:22px;font-weight:800;word-break:break-all;">{target_id}</div>
<a href="{hf_link}" target="_blank" style="color:#8B5CF6 !important;font-size:12px;text-decoration:none;">View on HuggingFace →</a>
</div>
<div style="color:#71717a;font-size:11px;font-family:monospace;">Generated: {generated_at} UTC</div>
</div>
{stats_html}
{timeline_html}
{nec_html}
{tpa_html}
{outreach_html}
{reg_ctx_html}
<div style="margin-top:24px;padding-top:16px;border-top:1px solid #262640;text-align:center;">
<div style="color:#71717a;font-size:11px;font-style:italic;">Observation, not judgment. All data from TPR Registry + public HuggingFace metadata.</div>
</div>
</div>'''
if gr is not None:
with gr.Blocks(css=CSS, title="CROVIA · Registry Observer") as app:
gr.HTML(HEADER_HTML)
# Alert section - appears only if verified findings exist
alert_html = gr.HTML(value=_generate_alert_html())
gr.Markdown("## Tools")
with gr.Row():
tool_lookup = gr.Button("Lookup", variant="primary")
tool_compare = gr.Button("Compare", variant="secondary")
tool_tpa = gr.Button("TPA", variant="secondary")
tool_ddf = gr.Button("DDF", variant="secondary")
tool_linkage = gr.Button("Linkage", variant="secondary")
tool_index = gr.Button("Index", variant="secondary")
tool_pro = gr.Button("PRO", variant="secondary")
tools_hint = gr.Markdown("", elem_classes="cta-status")
lookup_panel = gr.Column(visible=True)
compare_panel = gr.Column(visible=False)
tpa_panel = gr.Column(visible=False)
ddf_panel = gr.Column(visible=False)
linkage_panel = gr.Column(visible=False)
index_panel = gr.Column(visible=False)
pro_panel = gr.Column(visible=False)
with lookup_panel:
models_lk, datasets_lk = _load_target_choices()
gr.HTML('''
<div style="background:rgba(96,165,250,0.08);border:1px solid rgba(96,165,250,0.25);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#60a5fa;font-weight:800;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">MODEL EVIDENCE PROFILE</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Select any monitored target to view its full observation history, documentation gaps, temporal proofs, and outreach status.</p>
</div>
''')
with gr.Row():
lookup_target = gr.Dropdown(
label="Target (model/dataset)",
choices=sorted(models_lk + datasets_lk),
allow_custom_value=True,
scale=3,
)
lookup_btn = gr.Button("Lookup", variant="primary", scale=1)
lookup_reload = gr.Button("Reload list", variant="secondary", scale=1)
lookup_output = gr.HTML(value='<div style="color:#71717a;text-align:center;padding:40px;font-size:14px;">Select a target from the dropdown to view its evidence profile.</div>')
lookup_btn.click(generate_model_lookup_html, inputs=[lookup_target], outputs=lookup_output)
def _reload_lookup_choices() -> Any:
global _TARGET_CHOICES_CACHE
_TARGET_CHOICES_CACHE = None
m, d = _load_target_choices()
return gr.update(choices=sorted(m + d))
lookup_reload.click(_reload_lookup_choices, inputs=[], outputs=lookup_target)
with compare_panel:
gr.HTML('''
<div style="background:rgba(139,92,246,0.1);border:1px solid rgba(139,92,246,0.3);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#a78bfa;font-weight:700;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">COMPARE 2 TARGETS</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Compare observation patterns between two models/datasets (data from TPR Registry)</p>
</div>
''')
with gr.Row():
target_a = gr.Textbox(label="Target A (model/dataset ID)", placeholder="meta-llama/Llama-3-8B")
target_b = gr.Textbox(label="Target B (model/dataset ID)", placeholder="google/gemma-2-9b")
compare_btn = gr.Button("Compare", variant="primary")
compare_output = gr.Code(label="Comparison Result", language=None, lines=20)
with ddf_panel:
models, datasets = _load_target_choices()
gr.HTML('''
<div style="background:rgba(16,185,129,0.08);border:1px solid rgba(16,185,129,0.25);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#34d399;font-weight:700;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">DISCLOSURE FINGERPRINT (PREVIEW)</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Deterministic fingerprint from public HF metadata (hash-only). Evidence-first, no inference.</p>
</div>
''')
with gr.Row():
ddf_target = gr.Dropdown(label="Target (model/dataset)", choices=sorted(models + datasets), allow_custom_value=True)
ddf_btn = gr.Button("Generate", variant="primary")
ddf_reload = gr.Button("Reload list", variant="secondary")
ddf_out = gr.Code(label="Disclosure Fingerprint", language=None, lines=22)
ddf_btn.click(generate_disclosure_fingerprint, inputs=[ddf_target], outputs=ddf_out)
def _reload_ddf_choices() -> Any:
m, d = _load_target_choices()
return gr.update(choices=sorted(m + d))
ddf_reload.click(_reload_ddf_choices, inputs=[], outputs=ddf_target)
with linkage_panel:
models, datasets = _load_target_choices()
gr.HTML('''
<div style="background:rgba(59,130,246,0.08);border:1px solid rgba(59,130,246,0.25);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#60a5fa;font-weight:700;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">LINKAGE PROBE (PUBLIC MENTIONS)</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Checks whether a model publicly declares or mentions a dataset. This does not establish usage.</p>
</div>
''')
with gr.Row():
lp_model = gr.Dropdown(label="Model", choices=models, allow_custom_value=True)
lp_dataset = gr.Dropdown(label="Dataset", choices=datasets, allow_custom_value=True)
lp_btn = gr.Button("Check", variant="primary")
lp_reload = gr.Button("Reload list", variant="secondary")
lp_out = gr.Code(label="Linkage Probe Result", language=None, lines=22)
lp_btn.click(linkage_probe, inputs=[lp_model, lp_dataset], outputs=lp_out)
def _reload_linkage_choices() -> Tuple[Any, Any]:
m, d = _load_target_choices()
return gr.update(choices=m), gr.update(choices=d)
lp_reload.click(_reload_linkage_choices, inputs=[], outputs=[lp_model, lp_dataset])
with index_panel:
gr.HTML('''
<div style="background:rgba(251,191,36,0.08);border:1px solid rgba(251,191,36,0.25);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#fbbf24;font-weight:700;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">📊 DISCLOSURE INDEX (WEEKLY)</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Aggregated disclosure statistics across monitored targets. Observational data only.</p>
</div>
''')
index_output = gr.HTML(value=_generate_index_html())
index_refresh = gr.Button("Refresh Index", variant="secondary")
def _refresh_index():
return _generate_index_html()
index_refresh.click(_refresh_index, inputs=[], outputs=[index_output])
with tpa_panel:
gr.HTML('''
<div style="background:rgba(245,158,11,0.08);border:1px solid rgba(245,158,11,0.25);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#f59e0b;font-weight:800;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">TEMPORAL PROOF OF ABSENCE (OPEN)</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Cryptographically verifiable proofs that specific disclosures are absent from AI model documentation. Pedersen commitments, temporally anchored, mapped to 11 regulatory jurisdictions.</p>
</div>
''')
tpa_output = gr.HTML(value=_generate_tpa_panel_html())
tpa_refresh = gr.Button("Refresh TPA", variant="secondary")
def _refresh_tpa():
return _generate_tpa_panel_html()
tpa_refresh.click(_refresh_tpa, inputs=[], outputs=[tpa_output])
with pro_panel:
gr.HTML('''
<div style="background:rgba(244,63,94,0.08);border:1px solid rgba(244,63,94,0.25);border-radius:16px;padding:20px;margin:12px 0 20px;">
<div style="color:#fb7185;font-weight:800;font-size:16px;margin-bottom:10px;letter-spacing:0.08em;">🔒 PRO (GATED)</div>
<p style="color:#a1a1aa;font-size:13px;margin:0;">Enterprise-only tools: gated README access, rich diffs, alerts. Open Plane remains evidence-first.</p>
</div>
''')
gr.Markdown(
"**Call to action:** PRO features are disabled in this public Space.\n\n"
"- What you get in PRO: rich diffs, gated-readme verification, alerts/subscriptions.\n"
"- What we never do: public scoring or judgment.\n\n"
"If you need access, contact us at **info@croviatrust.com** to discuss a private deployment.",
)
with gr.Column(elem_classes="stats-section"):
refresh_btn = gr.Button("Refresh live data", variant="secondary")
stats_html = gr.HTML(value=generate_stats_box_html())
merkle_html = gr.HTML(value=generate_merkle_box_html())
merkle_timeline_html = gr.HTML(value=generate_merkle_timeline_html())
anchor_html = gr.HTML(value=generate_truth_anchor_html())
observations_html = gr.HTML(value=generate_observations_html())
def _select_tool(next_step: str) -> Tuple[Any, Any, Any, Any, Any, Any, Any, str]:
show_lookup = next_step == "lookup"
show_compare = next_step == "compare"
show_tpa = next_step == "tpa"
show_ddf = next_step == "ddf"
show_linkage = next_step == "linkage"
show_index = next_step == "index"
show_pro = next_step == "pro"
label = f"Selected: {next_step.upper()}"
return (
gr.update(visible=show_lookup),
gr.update(visible=show_compare),
gr.update(visible=show_tpa),
gr.update(visible=show_ddf),
gr.update(visible=show_linkage),
gr.update(visible=show_index),
gr.update(visible=show_pro),
label,
)
def _refresh_all() -> Tuple[str, str, str, str, str]:
return (
generate_stats_box_html(),
generate_merkle_box_html(),
generate_merkle_timeline_html(),
generate_truth_anchor_html(),
generate_observations_html(),
)
def compare_targets(target_a_id, target_b_id):
"""Compare 2 targets using TPR data."""
if not target_a_id or not target_b_id:
return "Enter both target IDs to compare."
try:
response = requests.get(f"{TPR_API_URL}/api/targets/summary", timeout=5)
if response.status_code != 200:
return f"Error: Registry returned {response.status_code}"
targets_data = response.json().get('targets', [])
target_a_data = next((t for t in targets_data if t['target_id'] == target_a_id), None)
target_b_data = next((t for t in targets_data if t['target_id'] == target_b_id), None)
if not target_a_data:
return f"Target A '{target_a_id}' not found in registry."
if not target_b_data:
return f"Target B '{target_b_id}' not found in registry."
days_a = int(target_a_data.get('days_monitored', 0))
days_b = int(target_b_data.get('days_monitored', 0))
obs_a = int(target_a_data.get('observation_count', 0))
obs_b = int(target_b_data.get('observation_count', 0))
streak_a = int(target_a_data.get('absence_streak_days', 0))
streak_b = int(target_b_data.get('absence_streak_days', 0))
first_a = target_a_data.get('first_seen', 'N/A')[:19] if target_a_data.get('first_seen') else 'N/A'
first_b = target_b_data.get('first_seen', 'N/A')[:19] if target_b_data.get('first_seen') else 'N/A'
comparison = {
"target_a": target_a_id,
"target_b": target_b_id,
"days_monitored": {"a": days_a, "b": days_b, "delta": days_a - days_b},
"observation_count": {"a": obs_a, "b": obs_b, "delta": obs_a - obs_b},
"absence_streak": {"a": streak_a, "b": streak_b, "delta": streak_a - streak_b},
"first_seen": {"a": first_a, "b": first_b},
"compared_at": datetime.now(timezone.utc).isoformat()
}
fingerprint_str = json.dumps(comparison, sort_keys=True)
fingerprint = hashlib.sha256(fingerprint_str.encode()).hexdigest()
comparison['difference_fingerprint'] = fingerprint
temporal_note = ""
if streak_a > 7 and streak_b > 7:
temporal_note = f"Temporal signal: both targets show {min(streak_a, streak_b)}+ days of continuous absence. Verify timestamps and receipts via the Registry."
elif streak_a > 7:
temporal_note = f"Temporal signal: Target A shows {streak_a} days of continuous absence. Verify timestamps and receipts via the Registry."
elif streak_b > 7:
temporal_note = f"Temporal signal: Target B shows {streak_b} days of continuous absence. Verify timestamps and receipts via the Registry."
elif days_a > 0 and days_b == 0:
temporal_note = f"Temporal signal: Target A has {days_a} monitored days while Target B has none. Verify timestamps and receipts via the Registry."
output = "\n".join([
"============================================================",
"CROVIA TEMPORAL COMPARISON",
"============================================================",
"",
f"TARGET A: {target_a_id}",
f"TARGET B: {target_b_id}",
"",
"TEMPORAL METRICS",
f"First Seen: A={first_a} B={first_b}",
f"Days Monitored: A={days_a} B={days_b} Delta={days_a - days_b}",
f"Observation Count: A={obs_a} B={obs_b} Delta={obs_a - obs_b}",
f"Absence Streak: A={streak_a} B={streak_b} Delta={streak_a - streak_b}",
"",
"TEMPORAL NOTE",
temporal_note if temporal_note else "Temporal patterns within normal variance.",
"",
"DIFFERENCE FINGERPRINT",
fingerprint,
"",
f"Compared: {comparison['compared_at'][:19]}Z",
"Source: TPR Registry (https://registry.croviatrust.com)",
"Note: This is observation data, not judgment.",
])
return output
except Exception as e:
return f"Error comparing targets: {type(e).__name__}: {e}"
compare_btn.click(
compare_targets,
inputs=[target_a, target_b],
outputs=compare_output
)
refresh_btn.click(
_refresh_all,
inputs=[],
outputs=[stats_html, merkle_html, merkle_timeline_html, anchor_html, observations_html],
)
_tool_outputs = [lookup_panel, compare_panel, tpa_panel, ddf_panel, linkage_panel, index_panel, pro_panel, tools_hint]
tool_lookup.click(lambda: _select_tool("lookup"), inputs=[], outputs=_tool_outputs)
tool_compare.click(lambda: _select_tool("compare"), inputs=[], outputs=_tool_outputs)
tool_tpa.click(lambda: _select_tool("tpa"), inputs=[], outputs=_tool_outputs)
tool_ddf.click(lambda: _select_tool("ddf"), inputs=[], outputs=_tool_outputs)
tool_linkage.click(lambda: _select_tool("linkage"), inputs=[], outputs=_tool_outputs)
tool_index.click(lambda: _select_tool("index"), inputs=[], outputs=_tool_outputs)
tool_pro.click(lambda: _select_tool("pro"), inputs=[], outputs=_tool_outputs)
gr.HTML(FOOTER_HTML)
if __name__ == "__main__":
if gr is None:
raise SystemExit("gradio is not installed. Install gradio to launch the UI.")
app.launch()
|