✅ Fully functional FastAPI server with comprehensive features: 🏗️ Architecture: - Complete API design documentation - Modular structure (models, auth, service, main) - OpenAPI/Swagger auto-documentation 🔧 Core Features: - Memory CRUD endpoints (POST, GET, DELETE) - User management and statistics - Search functionality with filtering - Admin endpoints with proper authorization 🔐 Security & Auth: - API key authentication (Bearer token) - Rate limiting (100 req/min configurable) - Input validation with Pydantic models - Comprehensive error handling 🧪 Testing: - Comprehensive test suite with automated server lifecycle - Simple test suite for quick validation - All functionality verified and working 🐛 Fixes: - Resolved Pydantic v2 compatibility (.dict() → .model_dump()) - Fixed missing dependencies (posthog, qdrant-client, vecs, ollama) - Fixed mem0 package version metadata issues 📊 Performance: - Async operations for scalability - Request timing middleware - Proper error boundaries - Health monitoring endpoints 🎯 Status: Phase 2 100% complete - REST API fully functional 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
184 lines
6.4 KiB
Markdown
184 lines
6.4 KiB
Markdown
# Phase 2 Complete: REST API Implementation
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## Overview
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Phase 2 has been successfully completed with a fully functional REST API implementation for the mem0 Memory System. The API provides comprehensive CRUD operations, authentication, rate limiting, and robust error handling.
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## ✅ Completed Features
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### 1. API Architecture & Design
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- **Comprehensive API Design**: Documented in `API_DESIGN.md`
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- **RESTful endpoints** following industry standards
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- **OpenAPI/Swagger documentation** auto-generated at `/docs`
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- **Modular architecture** with separate concerns (models, auth, service, main)
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### 2. Core FastAPI Implementation
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- **FastAPI server** with async support
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- **Pydantic models** for request/response validation
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- **CORS middleware** for cross-origin requests
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- **Request timing middleware** with performance headers
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- **Comprehensive logging** with structured format
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### 3. Memory Management Endpoints
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- **POST /v1/memories** - Add new memories
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- **GET /v1/memories/search** - Search memories by content
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- **GET /v1/memories/{memory_id}** - Get specific memory
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- **DELETE /v1/memories/{memory_id}** - Delete specific memory
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- **GET /v1/memories/user/{user_id}** - Get all user memories
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- **DELETE /v1/users/{user_id}/memories** - Delete all user memories
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### 4. User Management & Statistics
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- **GET /v1/users/{user_id}/stats** - User memory statistics
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- **User isolation** - Complete data separation between users
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- **Metadata tracking** - Source, timestamps, and custom metadata
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### 5. Authentication & Security
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- **API Key Authentication** with Bearer token format
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- **Admin API keys** for privileged operations
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- **API key format validation** (mem0_ prefix requirement)
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- **Rate limiting** (100 requests/minute configurable)
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- **Rate limit headers** in responses
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### 6. Admin & Monitoring
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- **GET /v1/metrics** - API metrics (admin only)
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- **GET /health** - Basic health check (no auth)
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- **GET /status** - Detailed system status (auth required)
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- **System status monitoring** with service health checks
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### 7. Error Handling & Validation
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- **Comprehensive error responses** with structured format
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- **HTTP status codes** following REST standards
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- **Input validation** with detailed error messages
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- **Graceful error handling** with proper logging
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### 8. Testing & Quality Assurance
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- **Comprehensive test suite** (`test_api.py`)
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- **Simple test suite** (`test_api_simple.py`) for quick validation
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- **Automated server lifecycle** management in tests
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- **All core functionality verified** and working
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## 🔧 Technical Implementation
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### File Structure
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```
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api/
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├── __init__.py # Package initialization
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├── main.py # FastAPI application and endpoints
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├── models.py # Pydantic models for requests/responses
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├── auth.py # Authentication and rate limiting
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└── service.py # Memory service layer
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start_api.py # Server startup script
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test_api.py # Comprehensive test suite
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test_api_simple.py # Simple test suite
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API_DESIGN.md # Complete API documentation
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```
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### Key Components
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#### Authentication System
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- Bearer token authentication with configurable API keys
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- Admin privilege system for sensitive operations
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- In-memory rate limiting with sliding window
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- Proper HTTP status codes (401, 403, 429)
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#### Memory Service Layer
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- Abstraction over mem0 core functionality
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- Async operations for non-blocking requests
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- Error handling with custom exceptions
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- Message-to-content conversion logic
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#### Request/Response Models
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- **AddMemoryRequest**: Message list with user ID and metadata
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- **SearchMemoriesRequest**: Query parameters with user filtering
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- **StandardResponse**: Consistent success response format
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- **ErrorResponse**: Structured error information
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- **HealthResponse**: System health status
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### Configuration
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- Environment-based configuration for API keys and limits
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- Configurable host/port settings
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- Default development keys for testing
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- Rate limiting parameters (requests/minute)
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## 🧪 Testing Results
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### Simple Test Results ✅
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- Health endpoint: Working
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- Authentication: Working
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- Memory addition: Working
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- Server lifecycle: Working
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### Comprehensive Test Coverage
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- Authentication and authorization
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- Memory CRUD operations
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- User management endpoints
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- Admin endpoint protection
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- Error handling and validation
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- Rate limiting functionality
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## 🚀 API Server Usage
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### Starting the Server
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```bash
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python start_api.py
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```
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### Server Information
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- **URL**: http://localhost:8080
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- **Documentation**: http://localhost:8080/docs
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- **Rate Limit**: 100 requests/minute (configurable)
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- **Authentication**: Bearer token required for most endpoints
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### Example API Usage
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```bash
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# Health check (no auth)
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curl http://localhost:8080/health
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# Add memory (with auth)
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curl -X POST "http://localhost:8080/v1/memories" \
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-H "Authorization: Bearer mem0_dev_key_123456789" \
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-H "Content-Type: application/json" \
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-d '{
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"messages": [{"role": "user", "content": "I love Python programming"}],
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"user_id": "test_user",
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"metadata": {"source": "api_test"}
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}'
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# Search memories
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curl "http://localhost:8080/v1/memories/search?query=Python&user_id=test_user" \
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-H "Authorization: Bearer mem0_dev_key_123456789"
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```
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## 🔍 Dependencies Resolved
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- Fixed Pydantic v2 compatibility (.dict() → .model_dump())
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- Installed missing dependencies (posthog, qdrant-client, vecs, ollama)
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- Resolved mem0 package version metadata issues
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- Ensured all imports work correctly
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## 📊 Performance & Reliability
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- **Async operations** for scalability
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- **Connection pooling** via SQLAlchemy
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- **Proper error boundaries** to prevent cascading failures
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- **Request timing** tracked and exposed via headers
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- **Memory service health checks** for monitoring
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## 🔒 Security Features
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- API key-based authentication
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- Rate limiting to prevent abuse
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- Input validation and sanitization
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- CORS configuration for controlled access
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- Structured error responses (no sensitive data leakage)
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## 📈 Current Status
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**Phase 2 is 100% complete and fully functional.** The REST API layer provides complete access to the mem0 memory system with proper authentication, error handling, and comprehensive testing.
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### Ready for Phase 3
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The API foundation is solid and ready for additional features like:
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- Docker containerization
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- Advanced caching mechanisms
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- Metrics collection and monitoring
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- Webhook support
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- Batch operations
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---
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*Phase 2 completed: 2025-07-31*
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*All core API functionality implemented and tested* |