Phase 0 (housekeeping): - Add .gitignore to protect credentials and runtime files - Track all project source code, docs, and config Phase 1 (perception loop): - Implement pluggable parser architecture (BaseMudParser ABC + ParserFactory) - Add DeadSoulsParser with regex for HP/MP/SP prompt, room descriptions, exits (multiple formats), NPC/item detection, and combat events - Add OutputBuffer for accumulating text between prompts - Update GameState with SP support and update_from_prompt/room/combat methods - Rewire main loop to use parser + buffer for real-time game state updates - Add reconnection logic to TelnetClient (retry with backoff) - Remove old TextParser (replaced by pluggable system) - Add mud_type config field for selecting parser at runtime - Add comprehensive test suite (50 tests, all passing)
135 lines
3.4 KiB
Markdown
135 lines
3.4 KiB
Markdown
# MUD AI Player
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An autonomous AI player for MUD (Multi-User Dungeon) text-based games.
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## Features
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- 🤖 **Autonomous Gameplay**: Simulates a human player from character creation to endgame
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- 🗺️ **Auto-Mapping**: Builds a complete map of the MUD world with hybrid storage (SQLite + Memvid)
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- ⚔️ **Combat AI**: Intelligent combat decisions, target selection, and survival tactics
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- 📜 **Quest System**: Automatically detects, plans, and completes quests
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- 🔍 **Semantic Search**: Find locations using natural language queries
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- 📊 **Progression Optimizer**: Finds optimal grinding spots and equipment upgrades
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## Architecture
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The application is built with a modular architecture:
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- **Core**: Telnet client, ANSI parser, text parser, game state
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- **Modules**:
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- Character Creator: Stats rolling, class/race selection
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- Auto-Mapper: World mapping with hybrid storage (SQLite + Memvid)
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- Decision Engine: AI decision-making, combat AI, goal management
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- Quest System: Quest detection, planning, execution
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- Progression Optimizer: Grinding optimization, equipment analysis
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## Installation
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### Using Poetry (Recommended)
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```bash
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# Install Poetry if not already installed
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pip install poetry
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# Install dependencies
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poetry install
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# Activate virtual environment
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poetry shell
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```
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### Using pip
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```bash
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# Create virtual environment
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python -m venv venv
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source venv/bin/activate # On Windows: venv\Scripts\activate
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# Install dependencies
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pip install -r requirements.txt
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```
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## Configuration
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1. Copy the example configuration:
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```bash
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cp examples/config.example.yaml config.yaml
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```
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2. Edit `config.yaml` with your MUD server details:
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```yaml
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mud:
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host: "your-mud-server.com"
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port: 4000
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username: "your_username"
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password: "your_password"
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```
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## Usage
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```bash
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# Run the AI player
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python -m src.main
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# Run with custom config
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python -m src.main --config custom_config.yaml
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# Run tests
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pytest tests/ -v
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# Run with coverage
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pytest --cov=src --cov-report=html
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```
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## Project Structure
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```
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mud-ai-player/
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├── src/ # Source code
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│ ├── core/ # Core components
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│ ├── modules/ # Specialized modules
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│ ├── utils/ # Utilities
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│ └── config/ # Configuration management
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├── data/ # Persistent storage
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│ ├── maps/ # World maps (SQLite + Memvid)
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│ ├── characters/ # Character saves
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│ └── logs/ # Game logs
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├── tests/ # Test suite
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├── docs/ # Documentation
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└── examples/ # Example configurations
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```
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## Development
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```bash
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# Format code
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black src/ tests/
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# Lint code
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ruff check src/ tests/
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# Run tests with watch
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pytest-watch
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```
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## Documentation
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See the `docs/` directory for detailed documentation:
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- [Architecture](docs/architecture.md)
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- [Configuration Guide](docs/configuration.md)
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- [Development Guide](docs/development.md)
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- [API Reference](docs/api_reference.md)
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## License
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MIT License
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## Contributing
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Contributions are welcome! Please read the development guide before submitting PRs.
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## Disclaimer
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This is an educational project. Please respect the rules and terms of service of any MUD you connect to. Some MUDs prohibit automated players.
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