import cv2
import numpy as np
import os

def clean_pipe_stream_aggressive():
    src_path = '/Users/davidkotnik/.gemini/antigravity/brain/07019d04-a214-43ab-9565-86f4e8f17e5b/uploaded_media_1769607894587.jpg'
    
    print(f"Loading {src_path}")
    img_bgr = cv2.imread(src_path)
    if img_bgr is None:
        print("Failed to load")
        return

    # Convert to HSV for better segmentation
    hsv = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2HSV)
    
    # The background is a "neutral gray".
    # Gray means LOW Saturation.
    # Light Gray means HIGH Value.
    
    # Let's define "Background" as:
    # Saturation < 20 (very gray)
    # Value > 200 (very bright)
    # But wait, the pipe is also gray! We risk deleting the pipe.
    
    # Plan B: GrabCut.
    # We initialize a mask where the center is "Probable Foreground" and edges are "Background".
    mask = np.zeros(img_bgr.shape[:2], np.uint8)
    
    bgdModel = np.zeros((1,65),np.float64)
    fgdModel = np.zeros((1,65),np.float64)
    
    h, w = img_bgr.shape[:2]
    
    # Define rectangle: Cut off 10px from edges as "Definite Background"
    # Everything else is "Probable Foreground"
    rect = (10, 10, w-20, h-20)
    
    print("Running GrabCut (this might take a second)...")
    cv2.grabCut(img_bgr, mask, rect, bgdModel, fgdModel, 5, cv2.GC_INIT_WITH_RECT)
    
    # Mask values: 0=BG, 1=FG, 2=Prob BG, 3=Prob FG
    # We take 1 and 3 as mask
    mask2 = np.where((mask==2)|(mask==0),0,1).astype('uint8')
    
    img_bgr = img_bgr * mask2[:,:,np.newaxis]
    
    # Now create Alpha channel
    b, g, r = cv2.split(img_bgr)
    alpha = mask2 * 255
    img_rgba = cv2.merge([b, g, r, alpha])
    
    # Crop to content
    coords = cv2.findNonZero(alpha)
    if coords is not None:
        x, y, cw, ch = cv2.boundingRect(coords)
        print(f"Cropping to: {x},{y} {cw}x{ch}")
        img_rgba = img_rgba[y:y+ch, x:x+cw]
    
    # Save
    targets = [
        '/Users/davidkotnik/repos/novafarma/main/assets/stream_pipe.png',
        '/Users/davidkotnik/repos/novafarma/assets/DEMO_FAZA1/Environment/stream_pipe.png'
    ]
    
    for t in targets:
        cv2.imwrite(t, img_rgba)
        print(f"Saved to {t}")

if __name__ == "__main__":
    clean_pipe_stream_aggressive()