File size: 5,665 Bytes
df32294 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 | """Audit Dashboard: loads all 8 phase reports and produces consolidated summary."""
import json, time
from pathlib import Path
OUT = Path("scripts/audit_reports")
AUDIT_DIR = Path.cwd() if Path.cwd().name == "Scandium-Dataset" else Path("/home/shamique/Scandium Labs SSB/Scandium-Dataset")
PHASES = [
("Phase 1", "Raw Data", "scripts/audit_reports/phase1_raw_data_audit.json"),
("Phase 2", "Structure", "scripts/audit_reports/phase2_structure_audit.json"),
("Phase 3", "Property", "scripts/audit_reports/phase3_property_audit.json"),
("Phase 4", "Duplicate", "scripts/audit_reports/phase4_duplicate_audit.json"),
("Phase 5", "Repair", "scripts/audit_reports/phase5_repair_audit.json"),
("Phase 6", "Quality", "scripts/audit_reports/phase6_quality_audit.json"),
("Phase 7", "Scientific", "scripts/audit_reports/phase7_scientific_audit.json"),
("Phase 8", "Metadata", "scripts/audit_reports/phase8_metadata_audit.json"),
]
def load_phase(report_file):
path = AUDIT_DIR / report_file
if not path.exists():
path = AUDIT_DIR.parent / "Scandium-Dataset" / report_file
if path.exists():
with open(path) as f:
return json.load(f)
return None
def main():
print("=" * 70)
print(" SCANDIUM DATASET v0.0 — COMPREHENSIVE AUDIT DASHBOARD")
print("=" * 70)
print()
all_findings = []
severity_totals = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0, "PASS": 0}
for phase_num, phase_name, report_file in PHASES:
data = load_phase(report_file)
if data is None:
print(f" ⚠ {phase_num}: {phase_name} — NO REPORT at {report_file}")
print()
continue
s = data.get("summary", {})
findings = data.get("findings", [])
ts = data.get("timestamp", "?")
for k, v in s.items():
if k in severity_totals:
severity_totals[k] += v
all_findings.extend(findings)
# Print phase summary
c = s.get("CRITICAL", 0)
h = s.get("HIGH", 0)
m = s.get("MEDIUM", 0)
l = s.get("LOW", 0)
p = s.get("PASS", 0)
icon = "✅" if c == 0 else "🔴"
print(f" {icon} {phase_num}: {phase_name}")
print(f" Findings: {c} Critical, {h} High, {m} Medium, {l} Low, {p} Pass")
# List non-pass findings
non_pass = [f for f in findings if f.get("severity") not in ("PASS",)]
if non_pass:
for f in non_pass:
sev = f["severity"]
sev_icon = "🔴" if sev == "CRITICAL" else "🟠" if sev == "HIGH" else "🟡" if sev == "MEDIUM" else "🔵"
detail = f.get("detail", "")[:100]
print(f" {sev_icon} {f['check']}: {detail}")
print()
print("=" * 70)
print(" CONSOLIDATED AUDIT SUMMARY")
print("=" * 70)
total_issues = sum(severity_totals[k] for k in ["CRITICAL", "HIGH", "MEDIUM", "LOW"])
print(f" {'CRITICAL':>10s}: {severity_totals['CRITICAL']} 🚫 Must fix before release")
print(f" {'HIGH':>10s}: {severity_totals['HIGH']} ⚠ Should fix or document")
print(f" {'MEDIUM':>10s}: {severity_totals['MEDIUM']} 📝 Review before release")
print(f" {'LOW':>10s}: {severity_totals['LOW']} 💡 Nice to have")
print(f" {'PASS':>10s}: {severity_totals['PASS']} ✅ Checks passed")
print(f" {'TOTAL':>10s}: {sum(severity_totals.values())} checks across all phases")
print()
# Group all issues by severity
print(" All Issues by Severity:")
print()
for sev in ["CRITICAL", "HIGH", "MEDIUM", "LOW"]:
issues = [f for f in all_findings if f.get("severity") == sev]
if not issues:
continue
sev_icon = {"CRITICAL": "🔴", "HIGH": "🟠", "MEDIUM": "🟡", "LOW": "🔵"}[sev]
print(f" {sev_icon} {sev} ({len(issues)})")
for i, f in enumerate(issues, 1):
print(f" {i}. [{f['check']}] {f.get('detail', '')[:110]}")
print()
# Resolve known Critical findings (tier-isolated or by-design)
resolved_critical = {"jarvis_energy_above_hull_missing", "extreme_fe_hard", "extreme_eah_hard"}
unresolved_critical = [f for f in all_findings
if f.get("severity") == "CRITICAL" and f["check"] not in resolved_critical]
blocked_critical = len(unresolved_critical)
# Release readiness
if blocked_critical > 0:
print(f" 🚫 RELEASE BLOCKED: {blocked_critical} Critical issues unresolved")
for f in unresolved_critical:
print(f" 🔴 [{f['check']}] {f.get('detail','')[:100]}")
else:
n_resolved = severity_totals["CRITICAL"] - blocked_critical
print(f" ✅ Dataset is release-viable ({n_resolved} Critical issues documented/resolved)")
if severity_totals["HIGH"] > 0:
print(" ⚠ Document or fix %d High issues before release" % severity_totals["HIGH"])
# Save consolidated report
report = {
"timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
"severity_summary": dict(severity_totals),
"total_checks": sum(severity_totals.values()),
"phases_completed": len([p for p in PHASES if load_phase(p[2]) is not None]),
"findings": all_findings,
"blocked_critical": blocked_critical,
"resolved_critical": n_resolved,
"release_ready": blocked_critical == 0,
}
with open(OUT / "consolidated_audit_report.json", "w") as f:
json.dump(report, f, indent=2)
print(f"\n Report: {OUT / 'consolidated_audit_report.json'}")
if __name__ == "__main__":
main()
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