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

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

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.