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| #!/usr/bin/env python3 | |
| """Debug the two failing tests""" | |
| from app import ATSCompatibilityAnalyzer | |
| analyzer = ATSCompatibilityAnalyzer() | |
| # Issue 1: Chef resume for ML role | |
| chef_resume = """ | |
| Chef John Smith | |
| Executive Chef | Le Restaurant | 2015-2023 | |
| • Created award-winning French cuisine menus | |
| • Managed kitchen staff of 20 | |
| • Sourced local organic ingredients | |
| Skills: French cuisine, pastry, wine pairing | |
| Education: Culinary Institute of America | |
| """ | |
| ml_jd = "Machine Learning Engineer with PhD, PyTorch, TensorFlow experience" | |
| print("=" * 60) | |
| print("DEBUG: Chef Resume for ML Role") | |
| print("=" * 60) | |
| result = analyzer.analyze(chef_resume, ml_jd) | |
| print(f"\nTotal Score: {result['total_score']}%") | |
| print("\nBreakdown:") | |
| for metric, score in result['breakdown'].items(): | |
| weight = analyzer.weights[metric] | |
| print(f" {metric:20} = {score:5.1f}% × {weight:.2f} = {score * weight:5.1f}") | |
| print("\n" + "=" * 60) | |
| print("DEBUG: Valid Resume Word Count") | |
| print("=" * 60) | |
| valid_resume = """ | |
| John Doe | john@email.com | 555-123-4567 | |
| EXPERIENCE | |
| Software Engineer | TechCorp | 2020 - Present | |
| • Developed Python applications | |
| • Built REST APIs | |
| • Managed databases | |
| SKILLS | |
| Python, JavaScript, SQL | |
| EDUCATION | |
| BS Computer Science | 2019 | |
| """ | |
| word_count = len(valid_resume.strip().split()) | |
| char_count = len(valid_resume.strip()) | |
| print(f"\nResume characters: {char_count}") | |
| print(f"Resume words: {word_count}") | |
| print(f"\nThreshold: 100 chars and 20 words") | |
| print(f"Pass chars: {char_count >= 100}") | |
| print(f"Pass words: {word_count >= 20}") | |