Py_Sys_Info

Python System Information Script

This README provides an overview of the Python System Information Script, which utilizes the lshw utility to gather and display detailed hardware information about the system.

Table of Contents

• Overview
• Features
• Prerequisites
• Usage
• Script Workflow
• Output
• Compatibility
• Notes
• Contribution
• Author

Overview

The Python System Information Script provides detailed insights about various components of the system using the lshw utility. It displays information on the following:

• Machine Name
• CPU
• RAM
• Display Adapter
• Network Adapter

Features

• Detailed System Information:

  • Retrieves and displays comprehensive hardware details.

• Automated Execution:

  • Runs necessary lshw commands within a Python script, saving time and effort.

• Easy to Use:

  • No manual input required; simply execute the script.

• Customizable:

  • The script can be easily modified to include additional hardware details or format the output.

Prerequisites

1. Python3:
   The script is written in Python 3.

   • To check if you have Python3 installed:

     python3 --version

   • To install Python3 on Ubuntu:

     sudo apt update
     sudo apt install python3

2. lshw Utility:
   The lshw utility collects and displays detailed information about the hardware configuration of the machine.

   • To check if you have lshw installed:

     lshw -version

   • To install lshw on Ubuntu:

     sudo apt update
     sudo apt install lshw

3. sudo: Some commands in the script require sudo privileges. Ensure that the user running the script has the necessary permissions.

Usage

1. Ensure you have the required permissions to execute the script:

   chmod +x /Py_Sys_Info.py

2. Run the script:

   ./Py_Sys_Info.py

Script Workflow

• Dependency Check:

  • Ensures that lshw is installed on the system. If not, the script will display an error message.

• Hardware Information Collection:

  • Runs lshw commands to retrieve details about:
    • Machine name
    • CPU
    • RAM
    • Display adapter
    • Network adapter

• Data Parsing:

  • Extracts and organizes the output into a user-friendly format.

• Display Results:

  • Outputs the gathered information in the terminal for easy reference.

Output

The script provides detailed information about:

• Machine Name:

  • Hostname of the machine.

• CPU Specifications:

  • Model, speed, and number of cores.

• RAM Details:

  • Total memory capacity and usage.

• Display Adapter:

  • GPU model and specifications.

• Network Adapter:

  • Details of all network interfaces.

Example output:

Machine Name: my-laptop
CPU: Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz
RAM: 16 GB
Display Adapter: NVIDIA GeForce GTX 1660 Ti
Network Adapter: Intel Wireless-AC 9560

Compatibility

• Supported Systems:

  • The script is compatible with Linux distributions that support lshw, such as Ubuntu, Debian, and their derivatives.

• Desktop Environments:

  • Desktop environment has no impact; works on both server and desktop versions of Linux.

Notes

• Sudo Requirement:

  • Since the lshw utility requires superuser privileges for certain commands, ensure you run the script with sudo.

• Error Handling:

  • If any component is not detected, the script will display a warning but continue execution.

• Customizability:

  • The script can be enhanced to include additional details or export output to a file (e.g., JSON or CSV).

Contribution

Your contributions can make these scripts even better:

• Fork the repository.

• Create a new branch:

  git checkout -b my-awesome-feature

• Make your invaluable changes.

• Commit your changes:

  git commit -am 'Added some amazing features'

• Push to the branch:

  git push origin my-awesome-feature

• Create a new Pull Request targeting the Python directory.

Contributions are welcome! Feel free to open issues, suggest enhancements, or submit pull requests to improve the script.

Author

• Raphael Chookagian

Date of Latest Revision

• 12/07/2024

License

• This script is provided as-is without any warranties. Users are advised to review and understand the script before executing it.

• This project is licensed under the MIT License. See the LICENSE file for details.