GitHub README Profile Generator Development Guidelines.md

# GitHub README Profile Generator Development Guidelines

## 1. Project Overview

### 1.1 Project Description
A Hugging Face Space application that helps users generate personalized GitHub README profiles through AI interaction and template customization.

### 1.2 Core Features
- AI-powered profile content generation
- Template-based README structure
- Interactive markdown preview
- Section-by-section copying
- Bulk markdown export
- Live preview of generated content

## 2. Technical Stack

### 2.1 Core Technologies
- Frontend Framework: Streamlit
- AI Model: LLaMA/BLOOM (Open Source LLM)
- Markdown Processing: Python-markdown
- Version Control: Git

### 2.2 Required Dependencies
```requirements.txt
streamlit>=1.24.0
python-markdown>=3.4.0
requests>=2.28.0
python-dotenv>=0.19.0
transformers>=4.30.0
torch>=2.0.0
```

## 3. Project Structure
```
readme-profile-generator/
├── app.py                 # Main Streamlit application
├── src/
│   ├── ai/               # AI interaction modules
│   ├── components/       # UI components
│   ├── templates/        # README templates
│   └── utils/           # Helper functions
├── tests/               # Test files
├── .gitignore
├── requirements.txt
└── README.md
```

## 4. Development Phases

### Phase 1: MVP (Basic Foundation)
**Objective**: Create basic working prototype

**Features**:
1. Single-page Streamlit interface
2. Basic user input form
3. Simple markdown preview
4. Copy button for full content

**Testing Criteria**:
- UI renders correctly
- Form captures all basic information
- Preview displays formatted markdown
- Copy function works correctly

### Phase 2: AI Integration
**Objective**: Implement AI-powered content generation

**Features**:
1. AI model integration
2. Basic prompt engineering
3. Content suggestion system
4. Error handling for AI responses

**Testing Criteria**:
- AI responds within 5 seconds
- Generated content is relevant
- Error messages are clear
- Content format is valid markdown

### Phase 3: Template System
**Objective**: Add template selection and customization

**Features**:
1. Multiple template options
2. Template preview
3. Section customization
4. Template switching

**Testing Criteria**:
- All templates load correctly
- Preview updates instantly
- Customizations persist
- Templates maintain formatting

### Phase 4: Advanced Features
**Objective**: Implement section management and advanced copying

**Features**:
1. Section-by-section editing
2. Individual section copying
3. Bulk export options
4. Session management

**Testing Criteria**:
- Sections can be individually modified
- Copy functions work for all sections
- Export includes all content
- Sessions persist correctly

## 5. Coding Standards

### 5.1 Python Code Style
- Follow PEP 8 guidelines
- Use type hints
- Maximum line length: 88 characters
- Use descriptive variable names

### 5.2 File Organization
- One class per file
- Group related functionality in modules
- Keep files under 500 lines
- Use appropriate file naming conventions

### 5.3 Comments and Documentation
- Each function must have docstrings
- Complex logic requires inline comments
- Update README.md with new features
- Document all configuration options

## 6. Testing Guidelines

### 6.1 Testing Levels
1. Unit Testing
   - Test individual functions
   - Test UI components
   - Test markdown generation

2. Integration Testing
   - Test AI integration
   - Test template system
   - Test data flow

3. User Acceptance Testing
   - Test full user workflows
   - Test edge cases
   - Test error scenarios

### 6.2 Test Cases Structure
```python
def test_feature():
    # Setup
    # Action
    # Assert
    # Cleanup
```

### 6.3 Testing Checklist
- [ ] All new functions have unit tests
- [ ] Integration tests pass
- [ ] UI renders correctly
- [ ] Error handling works
- [ ] Performance meets requirements

## 7. Deployment Guidelines

### 7.1 Pre-deployment Checklist
- [ ] All tests pass
- [ ] Dependencies are updated
- [ ] Environment variables are set
- [ ] Documentation is updated

### 7.2 Deployment Process
1. Update requirements.txt
2. Run full test suite
3. Update Space secrets if needed
4. Deploy to Hugging Face Space
5. Verify deployment

## 8. Version Control

### 8.1 Branch Strategy
- main: Production code
- develop: Development branch
- feature/*: New features
- bugfix/*: Bug fixes

### 8.2 Commit Guidelines
- Use descriptive commit messages
- Reference issue numbers
- Keep commits focused
- Follow conventional commits format

## 9. Performance Requirements

### 9.1 Response Times
- Page load: < 3 seconds
- AI response: < 5 seconds
- Preview update: < 1 second
- Copy operation: < 0.5 seconds

### 9.2 Resource Usage
- Memory usage < 512MB
- CPU usage < 70%
- Storage usage < 1GB

## 10. Error Handling

### 10.1 User Errors
- Display clear error messages
- Provide recovery suggestions
- Maintain data integrity
- Log user errors

### 10.2 System Errors
- Implement graceful degradation
- Log detailed error information
- Notify admin of critical errors
- Provide fallback options

## 11. Security Guidelines

### 11.1 User Data
- No sensitive data storage
- Clear data usage policies
- Implement rate limiting
- Sanitize user inputs

### 11.2 API Security
- Use environment variables
- Implement request validation
- Monitor API usage
- Handle token expiration

## 12. Maintenance

### 12.1 Regular Tasks
- Update dependencies monthly
- Review error logs weekly
- Backup configurations
- Monitor performance

### 12.2 Documentation
- Keep README updated
- Document API changes
- Update user guides
- Maintain changelog

## 13. Success Criteria

### 13.1 Functional Requirements
- All features work as specified
- No critical bugs
- Meets performance requirements
- Passes all test cases

### 13.2 User Experience
- Intuitive interface
- Clear feedback
- Responsive design
- Helpful error messages

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**Note**: This document should be treated as a living document and updated as the project evolves. Each phase should be completed and thoroughly tested before moving to the next phase.