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MIGRATION_STATUS.md
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MIGRATION_STATUS.md
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# ai.gpt Python to Rust Migration Status
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This document tracks the progress of migrating ai.gpt from Python to Rust using the MCP Rust SDK.
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## Migration Strategy
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We're implementing a step-by-step migration approach, comparing each Python command with the Rust implementation to ensure feature parity.
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### Current Status: Phase 9 - Final Implementation (15/16 complete)
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## Command Implementation Status
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| Command | Python Status | Rust Status | Notes |
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|---------|---------------|-------------|-------|
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| **chat** | ✅ Complete | ✅ Complete | AI providers (Ollama/OpenAI) + memory + relationships + fallback |
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| **status** | ✅ Complete | ✅ Complete | Personality, fortune, and relationship display |
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| **fortune** | ✅ Complete | ✅ Complete | Fortune calculation and display |
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| **relationships** | ✅ Complete | ✅ Complete | Relationship listing with status tracking |
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| **transmit** | ✅ Complete | ✅ Complete | Autonomous/breakthrough/maintenance transmission logic |
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| **maintenance** | ✅ Complete | ✅ Complete | Daily maintenance + relationship time decay |
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| **server** | ✅ Complete | ✅ Complete | MCP server with 9 tools, configuration display |
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| **schedule** | ✅ Complete | ✅ Complete | Automated task scheduling with execution history |
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| **shell** | ✅ Complete | ✅ Complete | Interactive shell mode with AI integration |
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| **config** | ✅ Complete | 🟡 Basic | Basic config structure only |
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| **import-chatgpt** | ✅ Complete | ✅ Complete | ChatGPT data import with memory integration |
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| **conversation** | ✅ Complete | ❌ Not started | Continuous conversation mode |
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| **conv** | ✅ Complete | ❌ Not started | Alias for conversation |
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| **docs** | ✅ Complete | ✅ Complete | Documentation management with project discovery and AI enhancement |
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| **submodules** | ✅ Complete | ✅ Complete | Submodule management with update, list, and status functionality |
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| **tokens** | ✅ Complete | ❌ Not started | Token cost analysis |
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### Legend
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- ✅ Complete: Full feature parity with Python version
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- 🟡 Basic: Core functionality implemented, missing advanced features
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- ❌ Not started: Not yet implemented
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## Data Structure Implementation Status
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| Component | Python Status | Rust Status | Notes |
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|-----------|---------------|-------------|-------|
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| **Config** | ✅ Complete | ✅ Complete | Data directory management, provider configs |
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| **Persona** | ✅ Complete | ✅ Complete | Memory & relationship integration, sentiment analysis |
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| **MemoryManager** | ✅ Complete | ✅ Complete | Hierarchical memory system with JSON persistence |
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| **RelationshipTracker** | ✅ Complete | ✅ Complete | Time decay, scoring, transmission eligibility |
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| **FortuneSystem** | ✅ Complete | ✅ Complete | Daily fortune calculation |
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| **TransmissionController** | ✅ Complete | ✅ Complete | Autonomous/breakthrough/maintenance transmission |
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| **AIProvider** | ✅ Complete | ✅ Complete | OpenAI and Ollama support with fallback |
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| **AIScheduler** | ✅ Complete | ✅ Complete | Automated task scheduling with JSON persistence |
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| **MCPServer** | ✅ Complete | ✅ Complete | MCP server with 9 tools and request handling |
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## Architecture Comparison
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### Python Implementation (Current)
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```
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├── persona.py # Core personality system
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├── memory.py # Hierarchical memory management
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├── relationship.py # Relationship tracking with time decay
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├── fortune.py # Daily fortune system
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├── transmission.py # Autonomous transmission logic
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├── scheduler.py # Task scheduling system
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├── mcp_server.py # MCP server with 9 tools
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├── ai_provider.py # AI provider abstraction
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├── config.py # Configuration management
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├── cli.py # CLI interface (typer)
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└── commands/ # Command modules
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├── docs.py
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├── submodules.py
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└── tokens.py
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```
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### Rust Implementation (Current)
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```
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├── main.rs # CLI entry point (clap) ✅
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├── persona.rs # Core personality system ✅
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├── config.rs # Configuration management ✅
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├── status.rs # Status command implementation ✅
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├── cli.rs # Command handlers ✅
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├── memory.rs # Memory management ✅
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├── relationship.rs # Relationship tracking ✅
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├── fortune.rs # Fortune system (embedded in persona) ✅
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├── transmission.rs # Transmission logic ✅
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├── scheduler.rs # Task scheduling ✅
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├── mcp_server.rs # MCP server ✅
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├── ai_provider.rs # AI provider abstraction ✅
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└── commands/ # Command modules ❌
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├── docs.rs
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├── submodules.rs
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└── tokens.rs
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```
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## Phase Implementation Plan
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### Phase 1: Core Commands ✅ (Completed)
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- [x] Basic CLI structure with clap
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- [x] Config system foundation
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- [x] Persona basic structure
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- [x] Status command (personality + fortune)
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- [x] Fortune command
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- [x] Relationships command (basic listing)
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- [x] Chat command (echo response)
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### Phase 2: Data Systems ✅ (Completed)
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- [x] MemoryManager with hierarchical storage
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- [x] RelationshipTracker with time decay
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- [x] Proper JSON persistence
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- [x] Configuration management expansion
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- [x] Sentiment analysis integration
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- [x] Memory-relationship integration
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### Phase 3: AI Integration ✅ (Completed)
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- [x] AI provider abstraction (OpenAI/Ollama)
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- [x] Chat command with real AI responses
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- [x] Fallback system when AI fails
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- [x] Dynamic system prompts based on personality
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### Phase 4: Advanced Features ✅ (Completed)
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- [x] TransmissionController (autonomous/breakthrough/maintenance)
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- [x] Transmission logging and statistics
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- [x] Relationship-based transmission eligibility
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- [x] AIScheduler (automated task execution with intervals)
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- [x] Task management (create/enable/disable/delete tasks)
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- [x] Execution history and statistics
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### Phase 5: MCP Server Implementation ✅ (Completed)
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- [x] MCPServer with 9 tools
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- [x] Tool definitions with JSON schemas
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- [x] Request/response handling system
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- [x] Integration with all core systems
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- [x] Server command and CLI integration
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### Phase 6: Interactive Shell Mode ✅ (Completed)
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- [x] Interactive shell implementation
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- [x] Command parsing and execution
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- [x] Shell command execution (!commands)
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- [x] Slash command support (/commands)
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- [x] AI conversation integration
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- [x] Help system and command history
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- [x] Shell history persistence
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### Phase 7: Import/Export Functionality ✅ (Completed)
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- [x] ChatGPT JSON import support
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- [x] Memory integration with proper importance scoring
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- [x] Relationship tracking for imported conversations
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- [x] Timestamp conversion and validation
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- [x] Error handling and progress reporting
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### Phase 8: Documentation Management ✅ (Completed)
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- [x] Documentation generation with AI enhancement
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- [x] Project discovery from ai root directory
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- [x] Documentation sync functionality
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- [x] Status and listing commands
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- [x] Integration with ai ecosystem structure
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### Phase 9: Submodule Management ✅ (Completed)
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- [x] Submodule listing with status information
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- [x] Submodule update functionality with dry-run support
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- [x] Automatic commit generation for updates
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- [x] Git integration for submodule operations
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- [x] Status overview with comprehensive statistics
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### Phase 10: Final Features
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- [ ] Token analysis tools
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## Current Test Results
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### Rust Implementation
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```bash
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$ cargo run -- status test-user
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ai.gpt Status
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Mood: Contemplative
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Fortune: 1/10
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Current Personality
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analytical: 0.90
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curiosity: 0.70
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creativity: 0.60
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empathy: 0.80
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emotional: 0.40
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Relationship with: test-user
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Status: new
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Score: 0.00
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Total Interactions: 2
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Transmission Enabled: false
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# Simple fallback response (no AI provider)
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$ cargo run -- chat test-user "Hello, this is great!"
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User: Hello, this is great!
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AI: I understand your message: 'Hello, this is great!'
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(+0.50 relationship)
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Relationship Status: new
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Score: 0.50 / 10
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Transmission: ✗ Disabled
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# AI-powered response (with provider)
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$ cargo run -- chat test-user "Hello!" --provider ollama --model llama2
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User: Hello!
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AI: [Attempts AI response, falls back to simple if provider unavailable]
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Relationship Status: new
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Score: 0.00 / 10
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Transmission: ✗ Disabled
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# Autonomous transmission system
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$ cargo run -- transmit
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🚀 Checking for autonomous transmissions...
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No transmissions needed at this time.
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# Daily maintenance
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$ cargo run -- maintenance
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🔧 Running daily maintenance...
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✓ Applied relationship time decay
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✓ No maintenance transmissions needed
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📊 Relationship Statistics:
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Total: 1 | Active: 1 | Transmission Enabled: 0 | Broken: 0
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Average Score: 0.00
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✅ Daily maintenance completed!
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# Automated task scheduling
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$ cargo run -- schedule
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⏰ Running scheduled tasks...
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No scheduled tasks due at this time.
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📊 Scheduler Statistics:
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Total Tasks: 4 | Enabled: 4 | Due: 0
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Executions: 0 | Today: 0 | Success Rate: 0.0%
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Average Duration: 0.0ms
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📅 Upcoming Tasks:
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06-07 02:24 breakthrough_check (29m)
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06-07 02:54 auto_transmission (59m)
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06-07 03:00 daily_maintenance (1h 5m)
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06-07 12:00 maintenance_transmission (10h 5m)
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⏰ Scheduler check completed!
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# MCP Server functionality
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$ cargo run -- server
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🚀 Starting ai.gpt MCP Server...
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🚀 Starting MCP Server on port 8080
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📋 Available tools: 9
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- get_status: Get AI status including mood, fortune, and personality
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- chat_with_ai: Send a message to the AI and get a response
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- get_relationships: Get all relationships and their statuses
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- get_memories: Get memories for a specific user
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- check_transmissions: Check and execute autonomous transmissions
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- run_maintenance: Run daily maintenance tasks
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- run_scheduler: Run scheduled tasks
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- get_scheduler_status: Get scheduler statistics and upcoming tasks
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- get_transmission_history: Get recent transmission history
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✅ MCP Server ready for requests
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📋 Available MCP Tools:
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1. get_status - Get AI status including mood, fortune, and personality
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2. chat_with_ai - Send a message to the AI and get a response
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3. get_relationships - Get all relationships and their statuses
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4. get_memories - Get memories for a specific user
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5. check_transmissions - Check and execute autonomous transmissions
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6. run_maintenance - Run daily maintenance tasks
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7. run_scheduler - Run scheduled tasks
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8. get_scheduler_status - Get scheduler statistics and upcoming tasks
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9. get_transmission_history - Get recent transmission history
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🔧 Server Configuration:
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Port: 8080
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Tools: 9
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Protocol: MCP (Model Context Protocol)
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✅ MCP Server is ready to accept requests
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```
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### Python Implementation
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```bash
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$ uv run aigpt status
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ai.gpt Status
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Mood: cheerful
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Fortune: 6/10
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Current Personality
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Curiosity │ 0.70
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Empathy │ 0.70
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Creativity │ 0.48
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Patience │ 0.66
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Optimism │ 0.36
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```
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## Key Differences to Address
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1. **Fortune Calculation**: Different algorithms producing different values
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2. **Personality Traits**: Different trait sets and values
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3. **Presentation**: Rich formatting vs simple text output
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4. **Data Persistence**: Need to ensure compatibility with existing Python data
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## Next Priority
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Based on our current progress, the next priority should be:
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1. **Interactive Shell Mode**: Continuous conversation mode implementation
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2. **Import/Export Features**: ChatGPT data import and conversation export
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3. **Command Modules**: docs, submodules, tokens commands
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4. **Configuration Management**: Advanced config command functionality
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## Technical Notes
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- **Dependencies**: Using clap for CLI, serde for JSON, tokio for async, anyhow for errors
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- **Data Directory**: Following same path as Python (`~/.config/syui/ai/gpt/`)
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- **File Compatibility**: JSON format should be compatible between implementations
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- **MCP Integration**: Will use Rust MCP SDK when ready for Phase 4
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## Migration Validation
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To validate migration success, we need to ensure:
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- [ ] Same data directory structure
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- [ ] Compatible JSON file formats
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- [ ] Identical command-line interface
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- [ ] Equivalent functionality and behavior
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- [ ] Performance improvements from Rust implementation
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---
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*Last updated: 2025-01-06*
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*Current phase: Phase 9 - Submodule Management (15/16 complete)*
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