[BOUNTY #1] Multi-Dimensional Quality Scoring for Structured Outputs

[dagangtj]

Summary

Implements multi-dimensional quality scoring algorithm for structured outputs (JSON, markdown, code, text).

Implementation

Core Features

• ✅ Auto-detect format (JSON, markdown, code, text)
• ✅ 5-dimensional scoring:
  • Completeness (30%): Required fields/sections present
  • Format Compliance (20%): Valid syntax, proper structure
  • Coverage (25%): Depth and breadth of content
  • Clarity (15%): Readability, organization
  • Validity (10%): Logical consistency
• ✅ Output structure: {weighted_score, quality_rating, scores, feedback, pass_threshold}
• ✅ Pass threshold: 0.70 (70%)

Performance

• ✅ 100 submissions in < 0.01s (requirement: <10s)
• Tested on MacBook Pro M1
• Zero external dependencies (Python 3.10+ stdlib only)

Files Added

1. quality_scorer.py - Main scoring module (500+ lines)
2. test_quality_scorer.py - Comprehensive test suite (10 test cases)
3. examples.py - Usage examples (5 scenarios)
4. QUALITY_SCORING.md - Complete documentation

Test Results

✓ Format detection tests passed
✓ JSON scoring tests passed
✓ Markdown scoring tests passed
✓ Code scoring tests passed
✓ Text scoring tests passed
✓ Performance test passed: 100 submissions in 0.00s
✓ Edge case tests passed
✓ Dimension scoring tests passed
✓ Quality rating tests passed
✓ Feedback generation tests passed

✅ All tests passed!

Usage Example

from quality_scorer import QualityScorer

scorer = QualityScorer()
result = scorer.score(content)

print(f"Score: {result.weighted_score}")
print(f"Rating: {result.quality_rating}")
print(f"Pass: {result.pass_threshold}")

Sample Output

{
  "weighted_score": 0.847,
  "quality_rating": "A",
  "scores": {
    "completeness": 0.900,
    "format": 1.000,
    "coverage": 0.850,
    "clarity": 0.750,
    "validity": 0.800
  },
  "feedback": [
    "Detected format: json",
    "JSON structure has good depth",
    "Well-formatted with proper indentation"
  ],
  "pass_threshold": true
}

Testing

# Run tests
python3 test_quality_scorer.py

# Run examples
python3 examples.py

Checklist

• ✅ Auto-detect format (JSON, markdown, code, text)
• ✅ Score all 5 dimensions with correct weights
• ✅ 100 submissions < 10s (achieved < 0.01s)
• ✅ Output structure matches specification
• ✅ Comprehensive test suite
• ✅ Documentation and examples
• ✅ Zero external dependencies

Closes #1

[dagangtj]

Hey! Wanted to follow up — the multi-dimensional quality scoring system is ready for review. Let me know if there's anything you'd like me to tweak. Thanks!