# Development Status

## Current Phase: Foundation & Mock Implementation

**Last Updated:** October 6, 2025

## ✅ Completed Features

### Core Infrastructure
- **Flask Web Server**: Fully functional REST API server
- **Mock Data System**: Comprehensive Canvas data simulation
- **Basic Query Processing**: Pattern matching and context retrieval
- **API Endpoints**: Three main endpoints operational
- **Development Environment**: Virtual environment with all dependencies

### API Endpoints Status
| Endpoint | Status | Description |
|----------|--------|-------------|
| `POST /api/ask` | ✅ Working | Natural language query processing |
| `GET /api/health` | ✅ Working | Server health monitoring |
| `GET /api/data` | ✅ Working | Mock data retrieval |

### Query Processing Capabilities
- Assignment queries (due dates, status, course filtering)
- Announcement queries (course-specific news and updates)
- Grade queries (scores and feedback)
- Basic natural language understanding with keyword matching

## ✅ Completed Features

### Database Infrastructure
- **SQLAlchemy Models**: Complete data models for courses, assignments, announcements, and grades
- **Database Configuration**: Environment-based configuration with connection pooling
- **Migration System**: Database migration management with version control
- **Connection Management**: Session management with automatic cleanup and health checks

## 🔄 In Development

### Database Integration
- PostgreSQL database setup and initialization
- Data synchronization between mock data and database
- Database-backed API endpoints

### Canvas API Integration
- Authentication with Canvas API tokens
- Data synchronization workflows
- Error handling and retry logic
- Incremental sync capabilities

### Database Setup Tools
- **Database Setup Script**: `scripts/db_setup.py` for database initialization
- **Migration Management**: Automated schema creation and updates
- **Health Monitoring**: Database connectivity and status checking

### LLM Integration
- Gemini or Claude API client
- Enhanced query understanding
- Context-aware response generation
- Prompt engineering for Canvas data

## 📋 Planned Features

### Phase 2: Real Data Integration
- [ ] Complete Canvas API client implementation
- [ ] Database schema and models
- [ ] Data synchronization scheduling
- [ ] Enhanced error handling and logging

### Phase 3: AI Enhancement
- [ ] LLM service integration
- [ ] Advanced query processing
- [ ] Context-aware responses
- [ ] Query intent classification

### Phase 4: External Integrations
- [ ] Google Calendar synchronization
- [ ] Notification system
- [ ] LTI application development
- [ ] Multi-client support

## 🧪 Testing Status

### Current Testing
- Manual API testing with curl/Postman
- Basic functionality verification
- Mock data validation

### Planned Testing
- Unit tests for all components
- Integration tests for API endpoints
- Canvas API integration tests
- Performance and load testing
- Security testing

## 🚀 Quick Start for Developers

1. **Setup Environment**:
   ```bash
   python -m venv venv
   source venv/bin/activate  # Windows: venv\Scripts\activate
   pip install -r requirements.txt
   ```

2. **Database Setup** (Optional - for database development):
   ```bash
   # Set up database (requires PostgreSQL)
   python scripts/db_setup.py setup
   
   # Check database health
   python scripts/db_setup.py health
   
   # Reset database (drops and recreates tables)
   python scripts/db_setup.py reset
   ```

3. **Run Development Server**:
   ```bash
   python mcp_server/app.py
   ```

4. **Test API**:
   ```bash
   curl -X POST http://127.0.0.1:5000/api/ask \
        -H "Content-Type: application/json" \
        -d '{"question": "what assignments do I have?"}'
   ```

## 📊 Code Quality Metrics

- **Python Version**: 3.8+ compatible
- **Code Style**: PEP 8 compliant
- **Dependencies**: 5 core packages in requirements.txt
- **Documentation**: Architecture and API docs available
- **Error Handling**: Basic error responses implemented

## 🔗 Related Documents

- [Architecture Overview](architecture.md)
- [Project README](../README.md)
- [Implementation Tasks](.kiro/specs/canvas-ai-assistant/tasks.md)
- [Design Document](.kiro/specs/canvas-ai-assistant/design.md)