import cv2
import numpy as np
import easyocr
import sys

# Initialize EasyOCR reader
reader = easyocr.Reader(['en'], gpu=False)

def extract_measure_numbers(img_path):
    img = cv2.imread(img_path)
    if img is None: return
    
    # We find the rows of the staff
    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    _, bin_inv = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY_INV)
    
    # To find the first measure of this chunk, let's find the vertical measure bar
    col_sums = np.sum(bin_inv, axis=0) / 255.0
    # a measure bar is a tall black line
    bar_xs = np.where(col_sums > 30)[0]
    
    if len(bar_xs) == 0: return
    
    # Group the xs into distinct bars
    bars = []
    curr = [bar_xs[0]]
    for x in bar_xs[1:]:
        if x - curr[-1] < 10:
            curr.append(x)
        else:
            bars.append(int(np.mean(curr)))
            curr = [x]
    bars.append(int(np.mean(curr)))
    
    print(f"File: {img_path}")
    for bar_x in bars[:5]: # Check first 5 bars
        # The measure number is usually right after the bar, slightly above the staff.
        # Let's crop a box [bar_x : bar_x + 50] horizontally, and [staff_top - 30 : staff_top] vertically
        
        # approximate staff_top
        slice_cols = bin_inv[:, bar_x:bar_x+10]
        row_sums = np.sum(slice_cols, axis=1) / 255.0
        staff_rows = np.where(row_sums > 2)[0]
        if len(staff_rows) == 0: continue
        staff_top = staff_rows[0]
        
        y1 = max(0, staff_top - 40)
        y2 = staff_top
        x1 = bar_x
        x2 = min(img.shape[1], bar_x + 60)
        
        crop = gray[y1:y2, x1:x2]
        if crop.shape[0] < 10 or crop.shape[1] < 10: continue
        
        # Upscale for OCR
        crop_lg = cv2.resize(crop, (crop.shape[1]*3, crop.shape[0]*3), interpolation=cv2.INTER_CUBIC)
        
        results = reader.readtext(crop_lg, allowlist='0123456789')
        for (bbox, text, prob) in results:
            if prob > 0.5:
                print(f"  Bar at x={bar_x}: Measure {text} (conf: {prob:.2f})")
                
if __name__ == "__main__":
    extract_measure_numbers(r"C:\Users\Certes\.gemini\antigravity\brain\5805a1e3-c776-4325-8538-351d54b5e0a0\ai_slice_0.png")
    extract_measure_numbers(r"C:\Users\Certes\.gemini\antigravity\brain\5805a1e3-c776-4325-8538-351d54b5e0a0\ai_slice_3.png")