# DCE # đŸ•šī¸ Dungeon-Crawler-Engine Modular dungeon crawler simulation for **AI-driven gameplay**, **pathfinding experiments**, and **cryptographic save testing**. **Under development** by **YSNRFD** --- ## 🧠 DCE_ysnrfd – Procedural Dungeon Crawler Engine with AI & Secure Save System [![Python](https://img.shields.io/badge/python-3.8%2B-blue.svg)](https://www.python.org/) [![Game Engine](https://img.shields.io/badge/Engine-Modular-lightgreen.svg)]() [![Save System](https://img.shields.io/badge/Saves-Cryptographically%20Signed-critical.svg)]() --- ## 🚀 Overview **DCE_ysnrfd** is an extensible, modular dungeon crawler simulation built in pure Python. It includes a secure save/load system using cryptographic HMACs, procedurally generated dungeons, an intelligent A\* enemy AI, and a structured turn-based system. Perfect for prototyping **game mechanics**, **AI behavior**, and **simulation loops**. This project is for **educational purposes**, AI/ML pathfinding demos, and ethical development only. --- ## ✨ Features - 🧱 **Procedural Dungeon Generation** Uses recursive division with controlled randomness to generate interconnected dungeon layouts. - 🧠 **A\* Pathfinding** Enemies use a priority queue with Manhattan heuristics for navigation and targeting. - âš™ī¸ **Component-Based Entity System** Players, enemies, and items are all modeled with clean, modular class structures. - 🔒 **Cryptographic Save/Load** Uses HMAC-SHA256 to verify save integrity. Saves are rejected if tampered. - âąī¸ **Turn-Based State Machine** Robust finite state system for clean transitions (menu → gameplay → endgame). - 🧃 **Inventory & Items System** Supports armor, weapons, potions, and quest items with metadata and effects. - 📜 **Type-Hinted & Extensible** Fully annotated for IDE support and future expansion. - 📓 **Verbose Logging System** Game states and events are logged to `dungeon_crawler.log`. --- ## đŸ“Ļ Installation **1. Clone the repository** ```bash git clone https://github.com/ysnrfd/DCE.git cd DCE-main ``` **2. Run the program** Linux: ```python python3 dungeon_crawler.py ``` Windows: ```python python dungeon_crawler.py ``` ## 🔧 Usage Examples **Run the main game loop** ```python python dungeon_crawler.py ``` **Use the map generation module alone** ```python from dungeon_crawler import DungeonGenerator map_data = DungeonGenerator(width=40, height=20).generate() print(map_data) ``` **Save and verify game state** ```python from dungeon_crawler import SaveSystem, GameState state = GameState(...) SaveSystem.save(state, "game_state.encrypted") verified = SaveSystem.load("game_state.encrypted") ``` ## 📂 Project Structure ```structure dungeon-crawler-engine/ │── dungeon_crawler.py # Main game engine │── #dungeon_crawler.log # Log output │── #game_state.encrypted # Cryptographically signed game save │── README.md │── LICENSE ``` ## 🔐 Save System Details - **Based on HMAC-SHA256 with secret key** - **Includes timestamp and anti-replay protection** - **Invalid or tampered saves are automatically discarded** ## 🧠 Algorithms & Internals - **Pathfinding: A with open/closed sets, priority queues (heapq)** - **Dungeon Generation: Recursive division + random room linking** - **State Machine: Enum-based game states and transitions** - **Secure Save: JSON serialization + hmac + secrets** ## đŸ›Ŗī¸ Roadmap **✅ Cryptographic save/load system** **✅ Procedural generation engine** **✅ A pathfinding and enemy AI** **🔲 GUI version with Pygame or Pyxel** **🔲 Quest/dialogue system** **🔲 Plugin API for modding** **🔲 Fog of war and minimap** ## âš ī¸ Ethical Usage Notice This engine is intended for learning, game prototyping, and academic experiments only. You are not permitted to use this code in unethical simulations or closed-source game repackaging without preserving attribution. ## 📝 License This project is licensed under the **YSNRFD License.** You are free to fork and build upon it with proper credit and within ethical guidelines. Redistribution without credit is strictly forbidden. ## 👨‍đŸ’ģ Author **Developer: YSNRFD** **Telegram: @ysnrfd** ## ⭐ Support This Project **If you enjoyed this project or learned something useful, please star it on GitHub and share it with others!**