"""
Detect horizontal table borders in a scanned PDF page PNG
and extract row bounding boxes.

Usage:
  python detect_table_rows.py <page_png> [--min-width 0.7] [--debug]

Prints detected row y-ranges as normalized (0-1) coordinates.
"""
import sys
import argparse
import numpy as np
from PIL import Image


def detect_rows(page_png, min_width_frac=0.7, debug=False):
    img = Image.open(page_png).convert('L')  # grayscale
    arr = np.array(img)
    h, w = arr.shape

    # Binarize: dark pixels (potential lines) = True
    dark = arr < 128
    # Count dark pixels per row
    row_dark_count = dark.sum(axis=1)
    min_dark = int(min_width_frac * w)

    # Find rows that are mostly dark (horizontal lines)
    is_line = row_dark_count > min_dark

    # Group consecutive line pixels into bands
    line_bands = []
    in_band = False
    band_start = 0
    for y in range(h):
        if is_line[y] and not in_band:
            in_band = True
            band_start = y
        elif not is_line[y] and in_band:
            in_band = False
            band_end = y
            line_bands.append((band_start, band_end))
    if in_band:
        line_bands.append((band_start, h))

    if not line_bands:
        print("No table lines detected. Try reducing --min-width.", file=sys.stderr)
        return []

    # Extract row y-ranges between consecutive line bands
    rows = []
    for i in range(len(line_bands) - 1):
        y_top = line_bands[i][1]      # bottom of upper border
        y_bot = line_bands[i + 1][0]  # top of lower border
        if y_bot - y_top > 5:  # skip tiny gaps
            rows.append((y_top / h, y_bot / h))

    if debug:
        print(f"Detected {len(line_bands)} line bands:")
        for b in line_bands:
            print(f"  pixels {b[0]}-{b[1]}  (y={b[0]/h:.3f}-{b[1]/h:.3f})")
        print(f"\nDetected {len(rows)} content rows:")
        for i, (y0, y1) in enumerate(rows):
            print(f"  row {i}: y={y0:.3f}-{y1:.3f}  (pixels {int(y0*h)}-{int(y1*h)}, height={int((y1-y0)*h)}px)")

    return rows


if __name__ == '__main__':
    parser = argparse.ArgumentParser()
    parser.add_argument('page_png')
    parser.add_argument('--min-width', type=float, default=0.7)
    parser.add_argument('--debug', action='store_true')
    args = parser.parse_args()
    rows = detect_rows(args.page_png, min_width_frac=args.min_width, debug=args.debug)
    if not args.debug:
        for i, (y0, y1) in enumerate(rows):
            print(f"row {i}: {y0:.4f} - {y1:.4f}")