| """
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| QUALITY PYTHON CODE GENERATOR
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| 💯 Hochwertigen Python-Code generieren mit TODO-Planung
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| Schnell Start & Integration Guide
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| """
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| """
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| from quality_code_generator import QualityCodeGenerator
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| gen = QualityCodeGenerator()
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| code, plan = gen.generate_code("Create a user authentication system")
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| # FERTIG! Code ist bereit!
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| """
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| """
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| SCHRITT 1: Öffne Terminal
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| $ cd c:\\Users\\noah1\\Desktop\\NoahsKI\\noahski_improved
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|
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| SCHRITT 2: Starte Test Suite
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| $ python test_quality_code_generator.py
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|
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| SCHRITT 3: Wähle Option
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| Menu:
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| 1. Full Test Suite
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| 2. Simple Function
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| 3. Class Generation
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| 4. Data Processor
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| 5. Plan Breakdown
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| 6. Compare Implementations
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| 7. Benchmark
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| 8. Interactive ← TU DIES!
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| 9. Exit
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| SCHRITT 4: Gib deine Anforderung ein
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| "Create a REST API client with caching and retry logic"
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| SCHRITT 5: BOOM! 💥 Code wird generiert in 5 Phasen!
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| """
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| """
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| from quality_code_generator import QualityCodeGenerator
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| def generate_my_module():
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| '''Generate a custom module for my project'''
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| gen = QualityCodeGenerator()
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| requirement = '''
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| Create a database connection pool that:
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| - Manages multiple database connections
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| - Handles connection timeouts
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| - Logs all operations
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| - Automatically reconnects on failure
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| - Thread-safe and efficient
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| '''
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|
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| # Generate with live progress (default verbose=True)
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| code, plan = gen.generate_code(requirement)
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|
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| # Save to file
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| with open("db_pool.py", "w", encoding="utf-8") as f:
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| f.write(code)
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|
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| # Use immediately
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| import sys
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| sys.path.insert(0, '.')
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| exec(code) # Code is fully functional!
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| return code, plan
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|
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| # Run it!
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| code, plan = generate_my_module()
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| print(f"✅ Generated {len(code)} chars of production-ready code!")
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| """
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| """
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| PHASE 1: 📋 GENERATION PLAN ERSTELLEN
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| │
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| ├─ Anforderungen analysieren
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| ├─ Architektur designen
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| ├─ 8 Tasks definieren (mit Abhängigkeiten)
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| ├─ Zeiten-Schätzung (z.B. "~1 hour")
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| ├─ Quality Checklist (15 Punkte)
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| └─ Complexity Level bestimmen
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| OUTPUT:
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| 📌 REQUIREMENT: [Deine Anforderung]
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| 📊 PLAN OVERVIEW:
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| • Estimated Lines: 600
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| • Number of Tasks: 8
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| • Estimated Time: ~1 hour
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| 📋 TASKS:
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| 1. Setup & Imports (~30 lines)
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| 2. Core Implementation (~150 lines) [depends on: [1]]
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| ... [alle 8 Tasks mit Details]
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| ✅ QUALITY CHECKLIST (15 items)
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| PHASE 2: 🔧 CODE GENERIEREN (Schritt für Schritt)
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| │
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| ├─ [1/5] Setting up imports and configuration...
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| ├─ [2/5] Generating core implementation...
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| ├─ [3/5] Adding error handling and utilities...
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| ├─ [4/5] Creating tests...
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| └─ [5/5] Adding usage examples...
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| OUTPUT:
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| ├─ Alle imports am Anfang
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| ├─ Logging setup
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| ├─ Constants definieren
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| ├─ Hauptklasse(n) mit full logic
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| ├─ Error handling & exceptions
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| ├─ Helper functions & utilities
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| ├─ Unit tests mit test runner
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| └─ Usage examples & main
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| RESULT: ~600 Zeilen hochwertiger Code
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| PHASE 3: ✅ QUALITÄT VALIDIEREN
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| │
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| ├─ Syntax Check
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| ├─ Best Practices Überprüfung
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| ├─ Documentation Vollständigkeit
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| └─ Type Hints Validierung
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| OUTPUT:
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| Quality Checklist:
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| ✓ All imports at top of file
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| ✓ Clear object-oriented structure
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| ✓ All functions/classes have docstrings
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| ✓ Type hints for all parameters
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| ✓ Error handling for edge cases
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| ✓ Logging statements
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| ✓ Following PEP-8 guidelines
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| ... [15 Punkte insgesamt]
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| ✅ All quality checks passed!
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| PHASE 4: 💾 SPEICHERN
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| │
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| └─ Code wird automatisch saving (mit UTF-8 encoding)
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| OUTPUT:
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| ✅ Code saved to: generated_module.py
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| Size: 8,246 characters
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| Lines: 306 lines
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| PHASE 5: 🚀 FERTIG!
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| │
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| └─ Code ist sofort verwendbar/deploybar
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| Du kannst jetzt:
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| - Code ausführen: python generated_module.py
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| - In Projekt integrieren: import generated_module
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| - Modifizieren: Code ist Python, vollständig editierbar
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| - Tests laufen: python -m pytest generated_module.py
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| """
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| """
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| BEISPIEL 1: Simple Function Generator
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| ─────────────────────────────────────
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| from quality_code_generator import QualityCodeGenerator
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|
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| gen = QualityCodeGenerator()
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| code, plan = gen.generate_code(
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| "Create a text validation function that checks email and phone formats"
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| )
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| # Output: ~400 Zeilen, mit Tests & Docs
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|
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| BEISPIEL 2: Class Generator
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| ───────────────────────────
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| gen.generate_code("""
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| Create a ConfigManager class that:
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| - Loads config from JSON/YAML files
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| - Validates config schema
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| - Caches in memory
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| - Supports hot reload
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| - Thread-safe operations
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| """)
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|
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| # Output: ~600 Zeilen, komplett dokumentiert
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|
|
| BEISPIEL 3: API Client
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| ──────────────────────
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| gen.generate_code("""
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| Build an async REST API client with:
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| - Automatic retries on failure
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| - Request rate limiting
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| - Response caching
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| - Detailed logging
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| - Custom exception handling
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| - Connection pooling
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| """)
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|
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| # Output: ~800 Zeilen, produktionsbereit
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|
| BEISPIEL 4: Data Pipeline
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| ─────────────────────────
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| gen.generate_code("""
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| Create a data processing pipeline that:
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| - Reads data from multiple sources
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| - Validates and cleans
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| - Transforms for analysis
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| - Handles errors gracefully
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| - Logs all operations
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| - Exports in multiple formats
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| """)
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|
|
| # Output: ~1000 Zeilen, mit full error handling
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| """
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| """
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| 1. ✓ All imports at top of file
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| 2. ✓ Clear object-oriented structure or functional design
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| 3. ✓ All functions/classes have docstrings
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| 4. ✓ Type hints for all parameters and returns
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| 5. ✓ Error handling for all edge cases
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| 6. ✓ Logging statements for debugging
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| 7. ✓ Following PEP-8 style guidelines
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| 8. ✓ DRY principle (Don't Repeat Yourself)
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| 9. ✓ Separation of concerns
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| 10. ✓ Unit tests with good coverage
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| 11. ✓ Comprehensive comments where needed
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| 12. ✓ No hardcoded values (use constants)
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| 13. ✓ Proper exception handling
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| 14. ✓ Code is readable and maintainable
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| 15. ✓ Performance optimizations applied
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| → Alle 15 Punkte werden für JEDEN generierten Code überprüft!
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| """
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| """
|
| Task 1: Setup & Imports (~30 Zeilen)
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| └─ Alle imports am Anfang
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| └─ Logging konfigurieren
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| └─ Constants definieren
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| └─ Type imports
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|
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| Task 2: Core Implementation (~150 Zeilen)
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| └─ Hauptklasse oder Funktionen
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| └─ Geschäftslogik
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| └─ Execute/Process Methoden
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| └─ Zentrale Features
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| Task 3: Error Handling & Validation (~80 Zeilen)
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| └─ Custom Exceptions
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| └─ Try-catch Blöcke
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| └─ Input validation
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| └─ Error messages
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|
|
| Task 4: Configuration & Constants (~40 Zeilen)
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| └─ Constants Section
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| └─ Default values
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| └─ Configuration management
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| └─ Settings
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|
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| Task 5: Documentation & Comments (~50 Zeilen)
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| └─ Docstrings auf ALLES
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| └─ Type hints überall
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| └─ Inline comments
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| └─ Module documentation
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|
|
| Task 6: Helper Functions & Utilities (~100 Zeilen)
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| └─ Support functions
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| └─ Reusable utilities
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| └─ Helper methods
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| └─ Convenience functions
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|
|
| Task 7: Testing (~120 Zeilen)
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| └─ Unit tests
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| └─ Test suite
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| └─ Test runner
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| └─ Edge cases
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|
|
| Task 8: Usage Examples (~30 Zeilen)
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| └─ Basic usage
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| └─ Advanced usage
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| └─ Error examples
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| └─ Main entry point
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|
|
| ─────────────────────────────────────────────
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| TOTAL: ~600 Zeilen hochwertiger, getesteter Python-Code!
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| """
|
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|
|
| """
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| F: Wie lange dauert die Generierung?
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| A: <1 Sekunde für den Code. Zeigest den Plan, generiert Code, validiert.
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|
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| F: Kann ich die generierten Tasks ändern?
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| A: Nein, aber du kannst den Code danach editieren - it's Python!
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|
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| F: Wo wird der Code saved?
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| A: Wo DU willst! Du controllierst das, nicht der Generator.
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| F: Kann ich das in mein Projekt integrieren?
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| A: Ja! Ganz einfach - 3 Zeilen Code (siehe Option 1 oben).
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|
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| F: Ist der generierte Code produktionsbereit?
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| A: Ja! Der Code folgt allen Best Practices und hat Tests.
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|
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| F: Kann ich Anforderungen auf Deutsch schreiben?
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| A: Ja! Der Generator versteht Deutsch & English.
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|
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| F: Was wenn ich detaillierte Requirements habe?
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| A: Perfekt! Je detaillierter, desto besser der generierte Code.
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|
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| F: Funktioniert das mit komplexem Code?
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| A: Ja! Der Generator kann alles von simple utils bis complex systems.
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|
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| F: Kann ich den Code direkt verwenden?
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| A: Ja! Er ist komplett funktional und testbar.
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| """
|
|
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|
|
|
| """
|
| quality_code_generator.py (800+ Zeilen)
|
| → Main module mit CodeGenerationPlanner & QualityCodeGenerator
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| → Imports: logging, typing, dataclasses, enum, re
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|
|
| test_quality_code_generator.py (350+ Zeilen)
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| → 8 verschiedene Tests/Demos
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| → Interaktiver Mode
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| → Benchmark & Comparison
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|
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| QUALITY_CODE_GENERATOR_GUIDE.md (2000+ Worte)
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| → Komplette Dokumentation
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| → Verwendungsbeispiele
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| → Best Practices & FAQs
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|
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| QUALITY_CODE_GENERATOR_SUMMARY.md
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| → Quick Reference
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| → Was wurde kreiert
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| → Next Steps
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|
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| quick_test_generator.py
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| → Quick test script
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| → Schnelles Demo
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| → File saving example
|
|
|
| generated_config_manager.py
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| → Beispiel output
|
| → ~300 Zeilen echter Code
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| → Komplett funktional
|
| """
|
|
|
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|
|
|
|
|
|
|
|
|
| if __name__ == "__main__":
|
| print("""
|
|
|
| ╔════════════════════════════════════════════════════════════════════╗
|
| ║ ║
|
| ║ 🚀 QUALITY PYTHON CODE GENERATOR 🚀 ║
|
| ║ ║
|
| ║ Hochwertigen Code generieren mit TODO-Planung ║
|
| ║ Plan → Tasks → Step-by-Step Implementation ║
|
| ║ ║
|
| ║ START HIER: ║
|
| ║ $ python test_quality_code_generator.py ║
|
| ║ ║
|
| ║ ODER DIREKT NUTZEN: ║
|
| ║ from quality_code_generator import QualityCodeGenerator ║
|
| ║ gen = QualityCodeGenerator() ║
|
| ║ code, plan = gen.generate_code("Your requirement") ║
|
| ║ ║
|
| ║ DOCUMENTATION: ║
|
| ║ → QUALITY_CODE_GENERATOR_GUIDE.md ║
|
| ║ → QUALITY_CODE_GENERATOR_SUMMARY.md ║
|
| ║ ║
|
| ║ ✅ Status: PRODUCTION READY ║
|
| ║ ✨ Features: 5-Phase Generation, 8-Task System, QA Checks ║
|
| ║ 📊 Quality: 15-point validation checklist ║
|
| ║ 🎯 Output: ~600 lines of high-quality Python ║
|
| ║ ║
|
| ╚════════════════════════════════════════════════════════════════════╝
|
|
|
| """)
|
|
|
| print("🎉 Ready to generate high-quality Python code?")
|
| print("\nChoose your path:")
|
| print(" 1. python test_quality_code_generator.py → Full test suite")
|
| print(" 2. python quick_test_generator.py → Quick demo")
|
| print(" 3. Read QUALITY_CODE_GENERATOR_GUIDE.md → Learn more")
|
| print("\n▶ START NOW!\n")
|
|
|
