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# DCE
# 🕹️ 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
[](https://www.python.org/)
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---
## 🚀 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.
- ⚙️ **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.
- ⏱️ **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`.
---
## 📦 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**
## 🛣️ 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**
## ⚠️ 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.
## 👨💻 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!**
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