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# System_Checks_Lib.py
#########################################
# System Checks Library
# This library is used to check the system for the necessary dependencies to run the script.
# It checks for the OS, the availability of the GPU, and the availability of the ffmpeg executable.
# If the GPU is available, it asks the user if they would like to use it for processing.
# If ffmpeg is not found, it asks the user if they would like to download it.
# The script will exit if the user chooses not to download ffmpeg.
####
####################
# Function List
#
# 1. platform_check()
# 2. cuda_check()
# 3. decide_cpugpu()
# 4. check_ffmpeg()
# 5. download_ffmpeg()
#
####################
# Import necessary libraries
import logging
import os
import platform
import requests
import shutil
import subprocess
import zipfile
# Import Local Libraries
#from App_Function_Libraries import
#
#######################################################################################################################
# Function Definitions
#
def platform_check():
global userOS
if platform.system() == "Linux":
print("Linux OS detected \n Running Linux appropriate commands")
userOS = "Linux"
elif platform.system() == "Windows":
print("Windows OS detected \n Running Windows appropriate commands")
userOS = "Windows"
else:
print("Other OS detected \n Maybe try running things manually?")
exit()
# Check for NVIDIA GPU and CUDA availability
def cuda_check():
global processing_choice
try:
# Run nvidia-smi to capture its output
nvidia_smi_output = subprocess.check_output("nvidia-smi", shell=True).decode()
# Look for CUDA version in the output
if "CUDA Version" in nvidia_smi_output:
cuda_version = next(
(line.split(":")[-1].strip() for line in nvidia_smi_output.splitlines() if "CUDA Version" in line),
"Not found")
print(f"NVIDIA GPU with CUDA Version {cuda_version} is available.")
processing_choice = "cuda"
else:
print("CUDA is not installed or configured correctly.")
processing_choice = "cpu"
except subprocess.CalledProcessError as e:
print(f"Failed to run 'nvidia-smi': {str(e)}")
processing_choice = "cpu"
except Exception as e:
print(f"An error occurred: {str(e)}")
processing_choice = "cpu"
# Optionally, check for the CUDA_VISIBLE_DEVICES env variable as an additional check
if "CUDA_VISIBLE_DEVICES" in os.environ:
print("CUDA_VISIBLE_DEVICES is set:", os.environ["CUDA_VISIBLE_DEVICES"])
else:
print("CUDA_VISIBLE_DEVICES not set.")
# Ask user if they would like to use either their GPU or their CPU for transcription
def decide_cpugpu():
global processing_choice
processing_input = input("Would you like to use your GPU or CPU for transcription? (1/cuda)GPU/(2/cpu)CPU): ")
if processing_choice == "cuda" and (processing_input.lower() == "cuda" or processing_input == "1"):
print("You've chosen to use the GPU.")
logging.debug("GPU is being used for processing")
processing_choice = "cuda"
elif processing_input.lower() == "cpu" or processing_input == "2":
print("You've chosen to use the CPU.")
logging.debug("CPU is being used for processing")
processing_choice = "cpu"
else:
print("Invalid choice. Please select either GPU or CPU.")
# check for existence of ffmpeg
def check_ffmpeg():
if shutil.which("ffmpeg") or (os.path.exists("Bin") and os.path.isfile(".\\Bin\\ffmpeg.exe")):
logging.debug("ffmpeg found installed on the local system, in the local PATH, or in the './Bin' folder")
pass
else:
logging.debug("ffmpeg not installed on the local system/in local PATH")
print(
"ffmpeg is not installed.\n\n You can either install it manually, or through your package manager of "
"choice.\n Windows users, builds are here: https://www.gyan.dev/ffmpeg/builds/")
if userOS == "Windows":
download_ffmpeg()
elif userOS == "Linux":
print(
"You should install ffmpeg using your platform's appropriate package manager, 'apt install ffmpeg',"
"'dnf install ffmpeg' or 'pacman', etc.")
else:
logging.debug("running an unsupported OS")
print("You're running an unspported/Un-tested OS")
exit_script = input("Let's exit the script, unless you're feeling lucky? (y/n)")
if exit_script == "y" or "yes" or "1":
exit()
# Download ffmpeg
def download_ffmpeg():
user_choice = input("Do you want to download ffmpeg? (y)Yes/(n)No: ")
if user_choice.lower() in ['yes', 'y', '1']:
print("Downloading ffmpeg")
url = "https://www.gyan.dev/ffmpeg/builds/ffmpeg-release-essentials.zip"
response = requests.get(url)
if response.status_code == 200:
print("Saving ffmpeg zip file")
logging.debug("Saving ffmpeg zip file")
zip_path = "ffmpeg-release-essentials.zip"
with open(zip_path, 'wb') as file:
file.write(response.content)
logging.debug("Extracting the 'ffmpeg.exe' file from the zip")
print("Extracting ffmpeg.exe from zip file to '/Bin' folder")
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
# Find the ffmpeg.exe file within the zip
ffmpeg_path = None
for file_info in zip_ref.infolist():
if file_info.filename.endswith("ffmpeg.exe"):
ffmpeg_path = file_info.filename
break
if ffmpeg_path is None:
logging.error("ffmpeg.exe not found in the zip file.")
print("ffmpeg.exe not found in the zip file.")
return
logging.debug("checking if the './Bin' folder exists, creating if not")
bin_folder = "Bin"
if not os.path.exists(bin_folder):
logging.debug("Creating a folder for './Bin', it didn't previously exist")
os.makedirs(bin_folder)
logging.debug("Extracting 'ffmpeg.exe' to the './Bin' folder")
zip_ref.extract(ffmpeg_path, path=bin_folder)
logging.debug("Moving 'ffmpeg.exe' to the './Bin' folder")
src_path = os.path.join(bin_folder, ffmpeg_path)
dst_path = os.path.join(bin_folder, "ffmpeg.exe")
shutil.move(src_path, dst_path)
logging.debug("Removing ffmpeg zip file")
print("Deleting zip file (we've already extracted ffmpeg.exe, no worries)")
os.remove(zip_path)
logging.debug("ffmpeg.exe has been downloaded and extracted to the './Bin' folder.")
print("ffmpeg.exe has been successfully downloaded and extracted to the './Bin' folder.")
else:
logging.error("Failed to download the zip file.")
print("Failed to download the zip file.")
else:
logging.debug("User chose to not download ffmpeg")
print("ffmpeg will not be downloaded.")
#
#
#######################################################################################################################
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