#!/usr/bin/env python3

import argparse
import io
import unicodedata

from PIL import Image

#
# command line arguments
#
arg_parser = argparse.ArgumentParser(
    """Creates tesseract box files for given (line) image text pairs"""
)

# Text ground truth
arg_parser.add_argument(
    '-t',
    '--txt',
    nargs='?',
    metavar='TXT',
    help='Line text (GT)',
    required=True,
)

# Image file
arg_parser.add_argument(
    '-i',
    '--image',
    nargs='?',
    metavar='IMAGE',
    help='Image file',
    required=True,
)

args = arg_parser.parse_args()

#
# main
#

# https://stackoverflow.com/questions/6805311/combining-devanagari-characters
# Letters are category Lo (Letter, Other), vowel signs are category Mc (Mark, Spacing Combining),
# virama is category Mn (Mark, Nonspacing) and spaces are category Zs (Separator, Space).


def splitclusters(s):
    """Generate the grapheme clusters for the string s. (Not the full
    Unicode text segmentation algorithm, but probably good enough for
    Devanagari.)

    """
    # http://pyright.blogspot.com/2009/12/pythons-unicodedata-module.html
    # The combining code is typically zero.  The virama gets its own special code of nine.
    # i.e. unicodedata.category=Mn unicodedata.combining=9
    # (Could be used to extend for other Indic languages).

    virama = '\N{DEVANAGARI SIGN VIRAMA}'
    cluster = ''
    last = None
    for c in s:
        cat = unicodedata.category(c)[0]
        if cat == 'M' or cat == 'L' and last == virama:
            cluster += c
        else:
            if cluster:
                yield cluster
            cluster = c
        last = c
    if cluster:
        yield cluster


# Get image size.
width, height = Image.open(args.image).size

# load gt
with io.open(args.txt, 'r', encoding='utf-8') as f:
    lines = f.read().strip().split('\n')
    if len(lines) != 1:
        raise ValueError(
            'ERROR: %s: Ground truth text file should contain exactly one line, not %s'
            % (args.txt, len(lines))
        )
    line = unicodedata.normalize('NFC', lines[0].strip())

if line:
    for syllable in splitclusters(line):
        print('%s 0 0 %d %d 0' % (syllable, width, height))
        print('\t 0 0 %d %d 0' % (width, height))