import cv2
import numpy as np
import os
import sys

def remove_white_bg_and_resize(path, target_width=None):
    if not os.path.exists(path):
        print(f"File not found: {path}")
        return

    img = cv2.imread(path)
    if img is None:
        print(f"Error loading {path}")
        return

    img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)

    # Threshold for white
    gray = cv2.cvtColor(img, cv2.COLOR_BGRA2GRAY)
    _, mask = cv2.threshold(gray, 240, 255, cv2.THRESH_BINARY)
    mask_inv = cv2.bitwise_not(mask)
    
    b, g, r, a = cv2.split(img)
    final_img = cv2.merge((b, g, r, mask_inv))
    
    # Crop
    coords = cv2.findNonZero(mask_inv)
    if coords is not None:
        x, y, w, h = cv2.boundingRect(coords)
        pad = 2
        x = max(0, x - pad); y = max(0, y - pad)
        w = min(final_img.shape[1] - x, w + 2*pad)
        h = min(final_img.shape[0] - y, h + 2*pad)
        final_img = final_img[y:y+h, x:x+w]

    # Resize
    if target_width:
        h_curr, w_curr = final_img.shape[:2]
        if w_curr > target_width:
            ratio = target_width / w_curr
            new_h = int(h_curr * ratio)
            final_img = cv2.resize(final_img, (target_width, new_h), interpolation=cv2.INTER_AREA)
            print(f"Resized {path} to {target_width}x{new_h}")

    cv2.imwrite(path, final_img)
    print(f"Processed: {path}")

# NOVI CILJI (Voda)
TARGETS = {
    'assets/DEMO_FAZA1/Environment/mud_puddle.png': 512,
    'assets/DEMO_FAZA1/Environment/stream_water.png': 512
}

if __name__ == "__main__":
    base = os.getcwd()
    for rel, w in TARGETS.items():
        remove_white_bg_and_resize(os.path.join(base, rel), w)