GitHub - virtualframes/optimizer: augmented optimizer for virutal node and game engine authentication matrix simulation of all nodes and data points ai architecture verifies across and graphs in a 3d spacetime inspired phsyics engine enviroment.

Augmented optimizer for virtual node and game-engine authentication matrix simulation in a 3D spacetime physics environment.

This project provides a framework for simulating complex systems with a focus on:

Virtual Node Simulation: Core Node class for representing virtual simulation nodes.
Physics Engine Integration: An Engine adapter for PyBullet for 3D physics.
Authentication Matrix: An AuthMatrix module for node-to-node credential checks.
REST API: A FastAPI backend with ingest and query endpoints.
CLI: A command-line interface for launching and configuring simulations.

Getting Started

Prerequisites

Python 3.9+
Docker (optional, for containerized deployment)
Build tools (gcc, g++, make) - required for compiling Python packages like pybullet

Checking System Dependencies

Before installing, you can check if all required build dependencies are available:

# Using the shell script
./scripts/install_dependencies.sh

# Or using Python
python -m optimizer.utils.build_helper

If any dependencies are missing, the script will provide installation commands for your system.

Installation

Clone the repository:

git clone https://github.com/your-username/optimizer.git
cd optimizer

Check and install system dependencies (if needed):

# Check what's missing
./scripts/install_dependencies.sh

# Install on Ubuntu/Debian
sudo apt-get update && sudo apt-get install -y build-essential

# Or on Red Hat/CentOS
sudo yum groupinstall -y 'Development Tools'

Install Python dependencies:
```
pip install -r requirements.txt
```

Running the Application

Via CLI:
```
optimizer --config-path config.yml
```
Via Docker:
```
docker-compose up --build
```

Testing

To run the test suite:

Build Dependencies

This project includes utilities to automatically detect missing build dependencies and suggest installation commands.

Automated Dependency Checking

The build process automatically checks for required system dependencies (gcc, g++, make) and provides helpful error messages with installation instructions if any are missing.

Using the Dependency Checker

Shell Script:

./scripts/install_dependencies.sh

Python Module:

from optimizer.utils.build_helper import check_build_dependencies, DependencyChecker

# Simple check
if not check_build_dependencies():
    print("Some dependencies are missing")

# Detailed checking
checker = DependencyChecker()
all_present, message = checker.verify_and_suggest()
if not all_present:
    print(message)

Analyzing Build Errors

The build helper can also analyze error output to detect missing dependencies:

from optimizer.utils.build_helper import analyze_build_error

error_output = "error: command 'gcc' failed with exit status 1"
suggestion = analyze_build_error(error_output)
if suggestion:
    print(suggestion)

CI/CD

This project uses GitHub Actions for continuous integration. The workflow runs pytest and flake8 on every push and pull request.