xmo-odoo
fffaf735f5
In Python 3: * various builtins and dict methods were changed to return view/iterable objects rather than lists * and the separate Python 2 view/iterable builtins and methods were removed altogether This is problematic when using these items as list (which the happens repeatedly in Odoo), but more viciously when iterating *multiple times* over them (which also happens, which I've messed up multiple times while writing this, and which is a pain to debug even when you've just created the issue). Convert all code using these to semantics-matching cross-version helper functions to get the LCD behaviour between P2 and P3, and forbid the builtins via lint. issue #8530
97 lines
3.6 KiB
Python
97 lines
3.6 KiB
Python
# -*- coding: utf-8 -*-
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# Part of Odoo. See LICENSE file for full copyright and licensing details.
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import logging
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from .translate import _
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_logger = logging.getLogger(__name__)
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#-------------------------------------------------------------
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#ENGLISH
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#-------------------------------------------------------------
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to_19 = ( 'Zero', 'One', 'Two', 'Three', 'Four', 'Five', 'Six',
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'Seven', 'Eight', 'Nine', 'Ten', 'Eleven', 'Twelve', 'Thirteen',
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'Fourteen', 'Fifteen', 'Sixteen', 'Seventeen', 'Eighteen', 'Nineteen' )
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tens = ( 'Twenty', 'Thirty', 'Forty', 'Fifty', 'Sixty', 'Seventy', 'Eighty', 'Ninety')
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denom = ( '',
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'Thousand', 'Million', 'Billion', 'Trillion', 'Quadrillion',
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'Quintillion', 'Sextillion', 'Septillion', 'Octillion', 'Nonillion',
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'Decillion', 'Undecillion', 'Duodecillion', 'Tredecillion', 'Quattuordecillion',
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'Sexdecillion', 'Septendecillion', 'Octodecillion', 'Novemdecillion', 'Vigintillion' )
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def _convert_nn(val):
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"""convert a value < 100 to English.
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"""
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if val < 20:
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return to_19[val]
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for (dcap, dval) in ((k, 20 + (10 * v)) for (v, k) in enumerate(tens)):
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if dval + 10 > val:
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if val % 10:
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return dcap + '-' + to_19[val % 10]
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return dcap
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def _convert_nnn(val):
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"""
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convert a value < 1000 to english, special cased because it is the level that kicks
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off the < 100 special case. The rest are more general. This also allows you to
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get strings in the form of 'forty-five hundred' if called directly.
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"""
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word = ''
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(mod, rem) = (val % 100, val // 100)
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if rem > 0:
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word = to_19[rem] + ' Hundred'
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if mod > 0:
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word += ' '
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if mod > 0:
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word += _convert_nn(mod)
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return word
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def english_number(val):
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if val < 100:
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return _convert_nn(val)
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if val < 1000:
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return _convert_nnn(val)
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for (didx, dval) in ((v - 1, 1000 ** v) for v in range(len(denom))):
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if dval > val:
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mod = 1000 ** didx
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l = val // mod
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r = val - (l * mod)
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ret = _convert_nnn(l) + ' ' + denom[didx]
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if r > 0:
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ret = ret + ', ' + english_number(r)
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return ret
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def amount_to_text(number, currency):
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number = '%.2f' % number
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units_name = currency
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list = str(number).split('.')
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start_word = english_number(int(list[0]))
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end_word = english_number(int(list[1]))
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cents_number = int(list[1])
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cents_name = (cents_number > 1) and 'Cents' or 'Cent'
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return ' '.join(w for w in [start_word, units_name, (start_word or units_name) and (end_word or cents_name) and 'and', end_word, cents_name] if w)
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#-------------------------------------------------------------
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# Generic functions
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#-------------------------------------------------------------
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_translate_funcs = {'en' : amount_to_text}
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#TODO: we should use the country AND language (ex: septante VS soixante dix)
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#TODO: we should use en by default, but the translation func is yet to be implemented
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def amount_to_text(nbr, lang='en', currency='euro'):
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""" Converts an integer to its textual representation, using the language set in the context if any.
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Example::
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1654: thousands six cent cinquante-quatre.
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"""
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if lang not in _translate_funcs:
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_logger.warning(_("no translation function found for lang: '%s'"), lang)
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#TODO: (default should be en) same as above
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lang = 'en'
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return _translate_funcs[lang](abs(nbr), currency)
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