from tkinter import *
from tkinter import filedialog
from PIL import Image, ImageTk,ImageDraw
from tkinter import ttk

window = Tk()
window.geometry("1000x600")
window.title("My interface")
window.config(bg="white")

photo = None

def upload():
    global photo
    chemin = filedialog.askopenfilename()
    photo = Image.open(chemin)
    # width, height = int(photo.width / 3), int(photo.height / 3)
    photo = photo.resize((500,500))
    photo_tk = ImageTk.PhotoImage(photo)
    image_canva.create_image(0, 0, image=photo_tk, anchor="nw")
    image_canva.photo = photo_tk
    show_histogram(photo)

def apply_filter(filter):
    global photo
    _photo = photo
    if filter == "Noir & Blanc":
        _photo = _photo.convert('L')
        photo_tk = ImageTk.PhotoImage(_photo)
        image_canva.create_image(0, 0, image=photo_tk, anchor="nw")
        image_canva.photo = photo_tk
        show_histogram(_photo)

    elif filter == "Contour":
        _photo = _photo.convert("1")
        photo_tk = ImageTk.PhotoImage(_photo)
        image_canva.create_image(0, 0, image=photo_tk, anchor="nw")
        image_canva.photo = photo_tk
        show_histogram(_photo)
    # elif filter == "Histogramme":
    #     show_histogram(photo)
    elif filter == "Original":
        photo_tk = ImageTk.PhotoImage(photo)
        image_canva.create_image(0, 0, image=photo_tk, anchor="nw")
        image_canva.photo = photo_tk
        show_histogram(photo)

def show_histogram(photo):
    # Calculate the histogram
    histogram = photo.histogram()

    # Create a new image for the histogram
    histogram_image = Image.new("RGB", (256, 200), "white")
    histogram_draw = ImageDraw.Draw(histogram_image)

    # Find the maximum value in the histogram to scale the bars
    max_value = max(histogram)

    # Draw the bars of the histogram
    for i in range(256):
        bar_height = int(histogram[i] / max_value * 200)
        histogram_draw.line((i, 200, i, 200 - bar_height), fill=(i, i, i))

    # Convert the histogram image to a Tkinter PhotoImage and display it
    histogram_photo = ImageTk.PhotoImage(histogram_image)
    hist.create_image(0, 0, image=histogram_photo, anchor="nw")
    hist.photo = histogram_photo
# def show_histogram():
#     global photo
#     # hist.delete("all")
#     histogram = photo.histogram()
#     # print(histo)
#     max_count = max(histogram)
#     width = 250
#     height = 200
#     bar_width = width // len(histogram)
#     for i in range(len(histogram)):
#         bar_height = histogram[i] * height // max_count
#         hist.create_rectangle(i*bar_width, height-bar_height, (i+1)*bar_width, height, fill="blue")

sep = Frame(window, width=200, height=600, bg="white")
sep.pack(side="left", fill='y')

right = Frame(window, width=300, height=600, bg="white")
right.pack(side="right", fill='y')

Load = Button(sep, text="Load image", command=upload,  bg="light blue")
Load.pack(pady=100)

Convert_nb = Button(sep, text="Original", command=lambda: apply_filter("Original"), bg="light blue")
Convert_nb.pack(pady=10)

Convert_nb = Button(sep, text="Convert N/B", command=lambda: apply_filter("Noir & Blanc"), bg="light blue")
Convert_nb.pack(pady=10)

Contour = Button(sep, text="Contour", command=lambda: apply_filter("Contour"), bg="light blue")
Contour.pack(pady=10)

histo = Button(sep, text="Histogramme", command=lambda: apply_filter("Histogramme"), bg="light blue")
histo.pack(pady=10)

image_canva = Canvas(window, width=500, height=500, bg="white")
image_canva.pack(pady=20)

hist = Canvas(right, width=500, height=500, bg="white")
hist.pack(pady=20)
# NB = Canvas(window, width=200, height=150, bg="white")
# NB.pack(pady=20)

# Sketch = Canvas(window, width=200, height=150, bg="white")
# Sketch.pack(pady=20)

# filtres = ttk.Combobox(sep, values=("Noir & Blanc", "Contour", "Histogramme"))
# filtres.pack(pady=10)

window.mainloop()