# pie_chart_python.py
# September - 2026
# RJM Programming
# Thanks to https://www.w3schools.com/python/default.asp

import os
import matplotlib
import sys

# Set backend to Agg before importing pyplot
matplotlib.use('Agg')

import matplotlib.pyplot as plt
import matplotlib.image as mpimg

import numpy as np
#import plotly.express as px
from PIL import Image

nums = []
sofar = 0
place = ''
midsuff = ''
if len(sys.argv) > 1:
  place = sys.argv[-1 + len(sys.argv)]

if len(sys.argv) > 2:
  midsuff = sys.argv[-2 + len(sys.argv)].replace('piechartpython','').replace('.py','')

if len(nums) <= 0:
  while sofar < 100:
     print(f"Enter your percentage value regarding a pie chart where so far {sofar} has already been allocated.")
     anum = input()
     nums.append(int(anum))
     sofar += int(anum)
  
y = np.array(nums)

fig, ax = plt.subplots()

ax.pie(y)

fig.savefig(place + "plot" + midsuff + ".png")


# 1. Load the image
img = mpimg.imread(place + 'plot' + midsuff + '.png')

# 2. Process or manipulate the image (Optional)
# For example, let's look at the shape or apply changes
#print(f"Image shape: {img.shape}")

# 3. Create the plot without displaying it
plt.imshow(img)
plt.axis('off')  # Hide axis lines and labels

# 4. Save the result to a file instead of showing it
plt.savefig(place + 'output_image' + midsuff + '.png', bbox_inches='tight', pad_inches=0)
plt.close()


# Open the PNG image file
#with Image.open("plot.png") as img:
    # Display the image using your system's default viewer
    #img.show()
    
    # Optional: Load the data into memory so you can safely close the file
    #img.load() 


exit()