TODO: Detect OS and offer to automatically install dependencies.

Something like this should work for installing python3-pip on Debian-based Linux:

import subprocess

def install_package(package_name):
    try:
        # Update the package list
        subprocess.run(['sudo', 'apt-get', 'update'], check=True)

        # Install the package
        subprocess.run(['sudo', 'apt-get', 'install', '-y', package_name], check=True)

        print(f"Package {package_name} installed successfully.")
    except subprocess.CalledProcessError as e:
        print(f"Failed to install package {package_name}. Error: {e}")

# Example usage
install_package('curl')

For modules (colorama):

import subprocess
import sys

def install_package(package_name):
    try:
        subprocess.check_call([sys.executable, '-m', 'pip', 'install', package_name])
        print(f"Package {package_name} installed successfully.")
    except subprocess.CalledProcessError as e:
        print(f"Failed to install package {package_name}. Error: {e}")

# Example usage
install_package('colorama')

Install python3-pip on Windows:

import os
import subprocess
import urllib.request

def install_pip():
    try:
        # Download get-pip.py
        url = 'https://bootstrap.pypa.io/get-pip.py'
        file_path = 'get-pip.py'
        urllib.request.urlretrieve(url, file_path)

        # Run get-pip.py using the current Python interpreter
        subprocess.check_call([os.path.abspath(sys.executable), file_path])

        # Cleanup: Remove the get-pip.py script after installation
        os.remove(file_path)

        print("pip installed successfully.")
    except Exception as e:
        print(f"Failed to install pip. Error: {e}")

# Example usage
install_pip()

The same method can probably be used on Windows to install modules.

Install python3-pip on MacOS: probably the same as on Windows, since that doesn't rely on OS commands. For that matter, it might work for Linux, too.

dmutters / 5emonstergenerator

TODO: Detect OS and offer to automatically install dependencies. #23