Contributing to QFZZ¶

Thank you for your interest in contributing to QFZZ! This document provides guidelines for contributing to the project.

Code of Conduct¶

Be respectful, inclusive, and constructive. We're building this together.

Getting Started¶

1. Fork the Repository¶

# Fork on GitHub, then clone
git clone https://github.com/YOUR_USERNAME/QFZZ.git
cd QFZZ

2. Set Up Development Environment¶

# Install development dependencies
pip install -r requirements-dev.txt

# Install package in editable mode
pip install -e .

3. Create a Branch¶

git checkout -b feature/your-feature-name

Development Workflow¶

Running Tests¶

# Run all tests
pytest tests/

# Run with coverage
pytest --cov=qfzz tests/

# Run specific test
pytest tests/test_core.py::test_station_initialization

Code Style¶

We use Black for formatting and Flake8 for linting:

# Format code
black qfzz/ tests/ examples/

# Check linting
flake8 qfzz/ tests/ examples/

# Type checking
mypy qfzz/

Documentation¶

Build and preview documentation:

# Build
mkdocs build

# Serve locally
mkdocs serve

# Visit http://localhost:8000

Contribution Areas¶

1. Core Features¶

High Priority: - Real LLM integration (Llama, Mistral, Gemma) - Actual music streaming implementation - Real blockchain network integration (Ethereum, Polygon)

Medium Priority: - Advanced recommendation algorithms - Social features and community connections - Mobile app support

2. Datasets¶

We Need: - Dataset loaders for popular opensource music datasets - Quality scoring algorithms - Metadata extraction tools - License validation utilities

3. Edge Optimization¶

Areas: - Model quantization implementations - Pruning algorithms - More efficient caching strategies - Device-specific optimizations

4. Documentation¶

Help With: - Tutorial videos - More usage examples - Translation to other languages - API documentation improvements

5. Testing¶

Needed: - Unit tests for all modules - Integration tests - Performance benchmarks - Edge device testing

Pull Request Process¶

1. Make Your Changes¶

# Make changes
# Add tests
# Update documentation

2. Test Everything¶

# Run tests
pytest tests/

# Check code style
black --check qfzz/
flake8 qfzz/

# Build docs
mkdocs build

3. Commit¶

Use clear commit messages:

git add .
git commit -m "Add feature: description of feature"

Good commit messages: - Add LLM integration for Llama 3 - Fix bug in trust score calculation - Update documentation for edge deployment - Add tests for blockchain verification

4. Push and Create PR¶

git push origin feature/your-feature-name

Then create a Pull Request on GitHub.

5. PR Requirements¶

Your PR should: - [ ] Pass all tests - [ ] Follow code style guidelines - [ ] Include documentation updates - [ ] Have clear commit messages - [ ] Include tests for new features - [ ] Not break existing functionality

Code Guidelines¶

Python Style¶

# Good
def calculate_trust_score(user_id: str, interactions: int) -> float:
    """Calculate user trust score.

    Args:
        user_id: User identifier
        interactions: Number of interactions

    Returns:
        Trust score between 0.0 and 1.0
    """
    base_score = 0.5
    bonus = interactions * 0.01
    return min(1.0, base_score + bonus)


# Not so good
def calc_trust(uid, i):
    return 0.5 + i * 0.01

Docstrings¶

Use Google-style docstrings:

def function_name(param1: str, param2: int) -> bool:
    """Short description.

    Longer description if needed.

    Args:
        param1: Description of param1
        param2: Description of param2

    Returns:
        Description of return value

    Raises:
        ValueError: When this happens

    Examples:
        >>> function_name("test", 42)
        True
    """

Type Hints¶

Always use type hints:

from typing import List, Dict, Optional

def process_items(items: List[str], config: Optional[Dict[str, Any]] = None) -> int:
    """Process items."""
    if config is None:
        config = {}
    return len(items)

Error Handling¶

# Good
try:
    result = risky_operation()
except ValueError as e:
    logger.error(f"Invalid value: {e}")
    raise
except Exception as e:
    logger.error(f"Unexpected error: {e}")
    return default_value

# Not so good
try:
    result = risky_operation()
except:
    pass

Testing Guidelines¶

Unit Tests¶

import pytest
from qfzz import PersonalizedDJ

def test_dj_greeting_new_user():
    """Test DJ greeting for new user"""
    dj = PersonalizedDJ()
    greeting = dj.greet_user("user_001", "Alice")

    assert "Alice" in greeting
    assert "Welcome" in greeting
    assert "user_001" in dj.user_profiles


def test_dj_trust_score_increases():
    """Test trust score increases with interactions"""
    dj = PersonalizedDJ()
    initial_score = dj.get_trust_score("user_001")

    dj.interact("user_001", "Hello")

    new_score = dj.get_trust_score("user_001")
    assert new_score > initial_score

Integration Tests¶

def test_full_station_workflow():
    """Test complete station workflow"""
    # Initialize station
    station = QFZZStation()
    station.initialize()
    station.start()

    # Verify running
    assert station.is_running

    # Stop
    station.stop()
    assert not station.is_running

Documentation Guidelines¶

Markdown Style¶

# Main Heading

Short introduction paragraph.

## Section Heading

Content here.

### Subsection

More specific content.

#### Code Example

```python
# Code goes here

Links¶

Link text

### API Documentation

Document all public APIs:

```python
class MyClass:
    """Short class description.

    Longer description with details about the class,
    its purpose, and how to use it.

    Attributes:
        attribute1: Description of attribute1
        attribute2: Description of attribute2

    Examples:
        >>> obj = MyClass()
        >>> obj.do_something()
    """

    def public_method(self, param: str) -> int:
        """Document public methods.

        Args:
            param: Parameter description

        Returns:
            Return value description
        """
        return 42

    def _private_method(self):
        """Private methods should also be documented."""
        pass

Feature Requests¶

Have an idea? Open an issue:

Go to GitHub Issues
Click "New Issue"
Describe your feature
Explain why it's useful
Provide examples if possible

Bug Reports¶

Found a bug? Report it:

Check if already reported
Create new issue with:
Clear title
Steps to reproduce
Expected behavior
Actual behavior
Your environment (OS, Python version)
Error messages

Example:

## Bug: Trust score exceeds 1.0

### Steps to Reproduce
1. Create DJ
2. Add 200 interactions
3. Check trust score

### Expected
Trust score should be 1.0 (clamped)

### Actual
Trust score is 2.5

### Environment
- OS: Ubuntu 22.04
- Python: 3.9.5
- QFZZ: 0.1.0

Areas We Need Help¶

Critical¶

[ ] LLM integration
[ ] Music streaming implementation
[ ] Blockchain network integration

Important¶

[ ] Test coverage improvement
[ ] Performance optimization
[ ] Mobile app development

Nice to Have¶

[ ] UI/UX improvements
[ ] More examples
[ ] Tutorial videos
[ ] Translations

Community¶

GitHub: fuzzywigg/QFZZ
Issues: Report bugs
Discussions: Ask questions

License¶

By contributing, you agree that your contributions will be licensed under the MIT License.

Questions?¶

Feel free to: - Open an issue - Start a discussion - Reach out to maintainers

Thank you for contributing to QFZZ! 🎵✨