EternaFX Framework AI
Welcome to the EternaFX Framework AI—an advanced, modular, and scalable system designed for real-time simulations, ethical decision-making, interactive visualizations, and AI-driven breakthroughs. This framework integrates cutting-edge technologies, including Golden Ratio mechanics, dynamic scenario generation, and advanced visualization tools, to create an immersive and engaging user experience.
Table of Contents
Features
Directory Structure
Installation
Usage
Modules Overview
Visualization Examples
Development Workflow
Contributing
License
Features
Dynamic Scenario Generation: Generate complex scenarios powered by Ada Lovelace AI with Golden Ratio-based mechanics.
Ethical Decision-Making: Leverage Marie Curie AI to ensure unbiased reinforcement learning and ethical compliance.
Advanced Visualization: Create interactive 3D visualizations with Golden Ratio UI alignment using Plotly, Three.js, and more.
Real-Time Interactivity: Simulate AI advancements, quantum leaps, and global metrics with live data feeds.
Modular Design: Easily extend functionality with plug-and-play modules.
High Performance: Optimized with compiled modules and real-time rendering for large datasets.
Directory Structure
eternafx/ ├── core/ # Core logic and utilities │ ├── golden_ratio.py # Golden Ratio utilities │ ├── decision_engine.py # Decision-making core │ ├── harmony_controller.py # Global Harmony vs. Chaos metrics │ ├── save_load.py # Save/load functionality ├── ai/ # AI-driven modules │ ├── scenario_generator.py # Scenario generation │ ├── ethics_engine.py # Ethical decision-making models │ ├── optimization.py # Optimization algorithms │ ├── zeta_visualization.so # Compiled Zeta Function Dynamics ├── visualization/ # Visualization components │ ├── immersive_simulation.py # Interactive visualization logic │ ├── prime_gap_visualizer.py # Prime gap visualizations ├── tests/ # Unit tests and testing utilities │ ├── test_zeta_visualization.py # Tests for Zeta Function Dynamics │ ├── output/ # Output from tests (ignored in version control) ├── docs/ # Documentation │ ├── _build/ # Sphinx build directory (ignored) ├── docker/ # Docker configurations │ ├── Dockerfile │ ├── docker-compose.yml │ ├── volumes/ # Docker volume mounts (ignored) ├── logs/ # Logs (ignored in version control) ├── compiled/ # Compiled binaries (ignored) │ ├── zeta_visualization.so ├── models/ # Pre-trained models (ignored) ├── data/ # Data files (ignored; symbolic links recommended) ├── temp/ # Temporary files (ignored) ├── requirements.txt # Python dependencies ├── README.md # Documentation └── main.py # Entry point
Installation
Prerequisites
Python 3.10 or later
Git
Docker (optional, for containerized deployment)
Steps
- Clone the Repository
git clone https://github.com/username/eternafx.git cd eternafx
- Set Up a Virtual Environment
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
- Install Dependencies
pip install -r requirements.txt
- Run Tests
pytest tests/
- Start the Application
python main.py
Usage
Running the Main Application
Start the main simulation loop:
python main.py
Interactive Features
Rotate, zoom, and click on 3D visualizations.
Explore ethical dilemmas through dynamic scenario generation.
Analyze real-time data trends with interactive charts.
Using Docker for Deployment
Build and run the container:
docker-compose up --build
Access the application at http://localhost:8000.
Modules Overview
- Core
golden_ratio.py: Utilities for scaling and alignment using the Golden Ratio.
decision_engine.py: Implements the decision-making core for ethical resolutions.
harmony_controller.py: Balances global Harmony vs. Chaos metrics.
- AI
scenario_generator.py: Generates complex scenarios with dynamic elements.
ethics_engine.py: Applies ethical frameworks to ensure fairness and compliance.
zeta_visualization.so: Precompiled module for high-performance Zeta Function Dynamics.
- Visualization
prime_gap_visualizer.py: Creates visualizations for prime gaps and their properties.
immersive_simulation.py: Builds interactive simulations for user engagement.
Visualization Examples
- Zeta Function Dynamics
Visualize the Zeta function in 3D, highlighting critical zeros:
from ai.zeta_visualization import display_zeta_plot display_zeta_plot()
- Prime Gap Analysis
Analyze and visualize prime gaps:
from visualization.prime_gap_visualizer import visualize_prime_gaps visualize_prime_gaps()
- Dynamic Ethical Scenarios
Generate ethical dilemmas dynamically:
from ai.scenario_generator import generate_scenario print(generate_scenario())
Development Workflow
- Branching Strategy
Use main for stable releases.
Develop features in separate branches (e.g., feature/zeta-visualization).
- Testing
Run unit tests before committing changes:
pytest tests/
- Code Style
Follow PEP 8 guidelines.
Use flake8 for linting:
flake8 .
- Continuous Integration
Integrate CI/CD pipelines (e.g., GitHub Actions) to automate testing and deployment.
Contributing
We welcome contributions! Follow these steps:
License
This project is licensed under the MIT License. See the LICENSE file for details.
For further assistance or feature requests, feel free to reach out or open an issue on GitHub. Let’s build something extraordinary with EternaFX Framework AI!
Master Workflow