Hxcoreol Install Upd -

Path Errors: If the "hxcoreol" command is not found after installation, ensure your Python script directory is added to your system's PATH variable. Conclusion

To confirm that the hxcoreol install was successful, run the built-in diagnostic tool. This checks for missing libraries and validates your configuration file. hxcoreol --check If everything is green, launch the core service: hxcoreol start Troubleshooting Common Installation Issues hxcoreol install

Missing Dependencies: Some systems lack necessary C++ build tools. On Ubuntu, you can resolve this with sudo apt install build-essential. Path Errors: If the "hxcoreol" command is not

OS: Linux (Ubuntu 20.04+ recommended), macOS, or Windows via WSL2. Python: Version 3.8 or higher. Package Manager: pip (latest version) or Conda. hxcoreol --check If everything is green, launch the

It is highly recommended to install HXCoreOL within a virtual environment. This prevents version conflicts with other Python projects on your system. To create a virtual environment, run: python -m venv hxcore_env Activate the environment: Linux/macOS: source hxcore_env/bin/activate Windows: .\hxcore_env\Scripts\activate Step 2: The HXCoreOL Installation Process

Update the "Base_Directory" and "Logs_Path" to match your local folder structure. Step 4: Verification and First Run

After the installation completes, you must initialize the configuration. HXCoreOL relies on a .yaml or .json configuration file to define data paths and API endpoints. Generate a default config: hxcoreol --init