# Cognify Python SDK Foundation Plan

## 📋 **SCOPE & OBJECTIVES**

### **Primary Goals**
- Create a comprehensive Python SDK for Cognify API platform
- Provide both sync and async client interfaces
- Implement robust authentication handling (JWT + API keys)
- Support all major Cognify API endpoints with type safety

### **Deliverables**
1. Core client architecture with authentication
2. Document management module
3. Query & search functionality
4. RAG and conversation interfaces
5. Comprehensive test suite
6. Documentation and examples

## 🛠️ **TECHNOLOGY STACK**

### **Core Dependencies**
- **Python**: 3.11+ (matching Cognify platform requirements)
- **HTTP Client**: `httpx` (async/sync support)
- **Data Validation**: `pydantic` v2+ (type safety & validation)
- **Authentication**: JWT handling, API key management
- **Testing**: `pytest`, `pytest-asyncio`, `httpx-mock`
- **Documentation**: `mkdocs` or `sphinx`

### **Optional Dependencies**
- **CLI**: `click` or `typer` for command-line interface
- **Streaming**: `sse-client` for server-sent events
- **File Upload**: `aiofiles` for async file operations

## 🏗️ **IMPLEMENTATION STRATEGY**

### **Phase 1: Foundation (Week 1)**
1. **Project Structure Setup**
   - Create package structure
   - Setup development environment
   - Configure testing framework

2. **Core Client Architecture**
   - Base client class with configuration
   - Authentication handling (JWT + API keys)
   - Request/response wrapper with error handling
   - Standard response format parsing

3. **Basic Authentication Module**
   - Login/logout functionality
   - Token refresh mechanism
   - API key management

### **Phase 2: Core Modules (Week 2)**
1. **Documents Module**
   - Upload (single & bulk)
   - Document management (list, get, delete)
   - Content and chunks retrieval
   - Chunking functionality

2. **Query & Search Module**
   - RAG queries
   - Vector search
   - Search suggestions
   - Query history

### **Phase 3: Advanced Features (Week 3)**
1. **RAG & Agents Module**
   - Structured Q&A
   - Agent interactions
   - Streaming responses

2. **Conversations Module**
   - Context-aware conversations
   - Session management
   - Analytics

### **Phase 4: Polish & Documentation (Week 4)**
1. **Collections & Organizations**
   - Multi-tenant support
   - Collaboration features

2. **Testing & Documentation**
   - Comprehensive test suite
   - API documentation
   - Usage examples
   - Performance optimization

## 🔗 **DEPENDENCIES**

### **Prerequisites**
- Access to Cognify API documentation (✅ Available)
- Understanding of OpenAPI specification (✅ Completed)
- Python development environment (✅ Ready)

### **External Dependencies**
- Cognify API platform availability for testing
- API keys for authentication testing
- Sample documents for upload testing

## ✅ **SUCCESS CRITERIA**

### **Functional Requirements**
- [ ] All major API endpoints covered
- [ ] Both sync and async interfaces working
- [ ] Authentication methods implemented
- [ ] Error handling comprehensive
- [ ] Type hints throughout codebase

### **Quality Metrics**
- **Test Coverage**: 90%+ for core functionality
- **Performance**: <100ms overhead for API calls
- **Documentation**: Complete API reference
- **Type Safety**: 100% type hint coverage

### **User Experience**
- Intuitive API design following Python conventions
- Clear error messages and debugging information
- Comprehensive examples and tutorials
- Easy installation and setup

## ⏱️ **TIMELINE & MILESTONES**

### **Week 1: Foundation**
- Day 1-2: Project setup and core architecture
- Day 3-4: Authentication implementation
- Day 5-7: Basic client functionality and testing

### **Week 2: Core Features**
- Day 8-10: Documents module
- Day 11-14: Query & search functionality

### **Week 3: Advanced Features**
- Day 15-17: RAG and agents
- Day 18-21: Conversations and streaming

### **Week 4: Finalization**
- Day 22-24: Collections and organizations
- Day 25-28: Documentation and examples

## 🧪 **TESTING STRATEGY**

### **Unit Tests**
- Individual module functionality
- Authentication flows
- Error handling scenarios
- Type validation

### **Integration Tests**
- End-to-end API workflows
- Authentication integration
- File upload/download
- Streaming functionality

### **Performance Tests**
- Response time benchmarks
- Concurrent request handling
- Memory usage optimization
- Large file upload performance

## 📚 **DOCUMENTATION PLAN**

### **API Reference**
- Auto-generated from docstrings
- Type annotations documentation
- Error codes and handling

### **User Guides**
- Quick start tutorial
- Authentication setup
- Common use cases
- Advanced features

### **Examples**
- Basic usage examples
- Real-world scenarios
- Integration patterns
- Best practices

## 🔄 **RISK MITIGATION**

### **Technical Risks**
- **API Changes**: Monitor Cognify API updates
- **Authentication Issues**: Implement robust token handling
- **Performance**: Profile and optimize critical paths

### **Project Risks**
- **Scope Creep**: Stick to defined phases
- **Timeline Delays**: Prioritize core functionality
- **Quality Issues**: Maintain high test coverage

## 📊 **MONITORING & METRICS**

### **Development Metrics**
- Lines of code and test coverage
- API endpoint coverage percentage
- Documentation completeness
- Performance benchmarks

### **Quality Gates**
- All tests passing (100%)
- Type checking clean (mypy)
- Linting standards met (ruff/black)
- Documentation up-to-date

---

**Plan Status**: 🟡 In Progress
**Next Action**: Begin Phase 1 implementation
**Dependencies**: None blocking
**Risk Level**: Low
