Update scoring.py

scoring.py

@@ -0,0 +1,89 @@
+def compute_quality_score(issues):
+    """
+    Compute the weighted quality score based on detected issues.
+    Logic is identical to your original implementation.
+    """
+
+    # Count severities
+    critical = sum(1 for _, sev, _ in issues if sev == "CRITICAL")
+    high = sum(1 for _, sev, _ in issues if sev == "HIGH")
+    medium = sum(1 for _, sev, _ in issues if sev == "MEDIUM")
+    low = sum(1 for _, sev, _ in issues if sev == "LOW")
+
+    # ============================================
+    # Weighted scoring 
+    # ============================================
+
+    score = 100
+    score -= critical * 35
+    score -= high * 20
+    score -= medium * 8
+    score -= low * 3
+
+    # Heavy processing penalties
+    if len(issues) >= 6:
+        score -= 10
+
+    if (critical + high) >= 3:
+        score -= 10
+
+    # Clean bonus
+    if len(issues) == 0:
+        score += 5
+
+    score = max(0, min(score, 100))
+
+    # ============================================
+    # Grade Mapping
+    # ============================================
+
+    if score >= 90:
+        grade = "A"
+        quality = "EXCELLENT"
+        color = "#00C853"
+        recommendation = "Excellent for TTS dataset"
+
+    elif score >= 75:
+        grade = "B"
+        quality = "GOOD"
+        color = "#64DD17"
+        recommendation = "Very good quality; suitable for TTS"
+
+    elif score >= 60:
+        grade = "C"
+        quality = "FAIR"
+        color = "#FFD600"
+        recommendation = "Usable but may contain processing artifacts"
+
+    elif score >= 40:
+        grade = "D"
+        quality = "POOR"
+        color = "#FF6D00"
+        recommendation = "Not recommended for TTS (heavy processing)"
+
+    else:
+        grade = "F"
+        quality = "CRITICAL"
+        color = "#D50000"
+        recommendation = "Severely degraded or processed; avoid for TTS"
+
+    # ============================================
+    # Cleanliness + Processing Index
+    # ============================================
+
+    cleanliness_score = max(0, 100 - (medium * 5 + low * 3))
+    processing_severity = (critical * 3) + (high * 2) + medium
+
+    return {
+        "score": score,
+        "grade": grade,
+        "quality": quality,
+        "color": color,
+        "recommendation": recommendation,
+        "cleanliness_score": cleanliness_score,
+        "processing_severity": processing_severity,
+        "critical": critical,
+        "high": high,
+        "medium": medium,
+        "low": low
+    }