# -*- coding: utf-8 -*-
"""
Convert number in words to a computable number value
First version of the code adapted from Korakot Chaovavanich's notebook
https://colab.research.google.com/drive/148WNIeclf0kOU6QxKd6pcfwpSs8l-VKD#scrollTo=EuVDd0nNuI8Q
"""
import re
from pythainlp.tokenize import Tokenizer
_ptn_digits = r"(|หนึ่ง|เอ็ด|สอง|ยี่|สาม|สี่|ห้า|หก|เจ็ด|แปด|เก้า)"
_ptn_six_figures = (
fr"({_ptn_digits}แสน)?({_ptn_digits}หมื่น)?({_ptn_digits}พัน)?"
fr"({_ptn_digits}ร้อย)?({_ptn_digits}สิบ)?{_ptn_digits}?"
)
_ptn_thai_numerals = fr"({_ptn_six_figures}ล้าน)*{_ptn_six_figures}"
_re_thai_numerals = re.compile(_ptn_thai_numerals)
_digits = {
# "ศูนย์" was excluded as a special case
"หนึ่ง": 1,
"เอ็ด": 1,
"สอง": 2,
"ยี่": 2,
"สาม": 3,
"สี่": 4,
"ห้า": 5,
"หก": 6,
"เจ็ด": 7,
"แปด": 8,
"เก้า": 9,
}
_powers_of_10 = {
"สิบ": 10,
"ร้อย": 100,
"พัน": 1000,
"หมื่น": 10000,
"แสน": 100000,
# "ล้าน" was excluded as a special case
}
_valid_tokens = set(_digits.keys()) | set(_powers_of_10.keys()) | {"ล้าน"}
_tokenizer = Tokenizer(custom_dict=_valid_tokens)
[docs]def thaiword_to_num(word: str) -> int:
"""
Converts the spelled-out numerals in Thai scripts into an actual integer.
:param str word: Spelled-out numerals in Thai scripts
:return: Corresponding integer value of the input
:rtype: int
:Example:
::
from pythainlp.util import thaiword_to_num
thaiword_to_num("ศูนย์")
# output: 0
thaiword_to_num("สองล้านสามแสนหกร้อยสิบสอง")
# output: 2300612
"""
if not isinstance(word, str):
raise TypeError(f"the input must be a string; given {word!r}")
if not word:
raise ValueError("the input string cannot be empty")
if word == "ศูนย์":
return 0
if not _re_thai_numerals.fullmatch(word):
raise ValueError("the input string is not a valid thai numeral")
tokens = _tokenizer.word_tokenize(word)
accumulated = 0
next_digit = 1
for token in tokens:
if token in _digits:
next_digit = _digits[token]
elif token in _powers_of_10:
# Absent digit assumed 1 before all powers of 10 (except million)
accumulated += max(next_digit, 1) * _powers_of_10[token]
next_digit = 0
else: # token == "ล้าน"
# Absent digit assumed 0 before word million
accumulated = (accumulated + next_digit) * 1000000
next_digit = 0
# Cleaning up trailing digit
accumulated += next_digit
return accumulated