mirror of
https://github.com/moparisthebest/SickRage
synced 2024-12-15 04:22:17 -05:00
0d9fbc1ad7
This version of SickBeard uses both TVDB and TVRage to search and gather it's series data from allowing you to now have access to and download shows that you couldn't before because of being locked into only what TheTVDB had to offer. Also this edition is based off the code we used in our XEM editon so it does come with scene numbering support as well as all the other features our XEM edition has to offer. Please before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present, we HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk! Enjoy!
391 lines
14 KiB
Python
391 lines
14 KiB
Python
#!/usr/bin/env python2
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# -*- coding: utf-8 -*-
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#
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# GuessIt - A library for guessing information from filenames
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# Copyright (c) 2011 Nicolas Wack <wackou@gmail.com>
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#
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# GuessIt is free software; you can redistribute it and/or modify it under
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# the terms of the Lesser GNU General Public License as published by
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# the Free Software Foundation; either version 3 of the License, or
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# (at your option) any later version.
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#
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# GuessIt is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# Lesser GNU General Public License for more details.
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#
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# You should have received a copy of the Lesser GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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from __future__ import unicode_literals
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from guessit import UnicodeMixin, base_text_type, u, s
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from guessit.fileutils import load_file_in_same_dir
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from guessit.textutils import find_words
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from guessit.country import Country
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import re
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import logging
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__all__ = [ 'is_iso_language', 'is_language', 'lang_set', 'Language',
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'ALL_LANGUAGES', 'ALL_LANGUAGES_NAMES', 'UNDETERMINED',
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'search_language', 'guess_language' ]
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log = logging.getLogger(__name__)
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# downloaded from http://www.loc.gov/standards/iso639-2/ISO-639-2_utf-8.txt
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#
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# Description of the fields:
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# "An alpha-3 (bibliographic) code, an alpha-3 (terminologic) code (when given),
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# an alpha-2 code (when given), an English name, and a French name of a language
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# are all separated by pipe (|) characters."
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_iso639_contents = load_file_in_same_dir(__file__, 'ISO-639-2_utf-8.txt')
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# drop the BOM from the beginning of the file
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_iso639_contents = _iso639_contents[1:]
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language_matrix = [ l.strip().split('|')
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for l in _iso639_contents.strip().split('\n') ]
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# update information in the language matrix
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language_matrix += [['mol', '', 'mo', 'Moldavian', 'moldave'],
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['ass', '', '', 'Assyrian', 'assyrien']]
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for lang in language_matrix:
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# remove unused languages that shadow other common ones with a non-official form
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if (lang[2] == 'se' or # Northern Sami shadows Swedish
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lang[2] == 'br'): # Breton shadows Brazilian
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lang[2] = ''
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# add missing information
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if lang[0] == 'und':
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lang[2] = 'un'
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if lang[0] == 'srp':
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lang[1] = 'scc' # from OpenSubtitles
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lng3 = frozenset(l[0] for l in language_matrix if l[0])
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lng3term = frozenset(l[1] for l in language_matrix if l[1])
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lng2 = frozenset(l[2] for l in language_matrix if l[2])
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lng_en_name = frozenset(lng for l in language_matrix
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for lng in l[3].lower().split('; ') if lng)
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lng_fr_name = frozenset(lng for l in language_matrix
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for lng in l[4].lower().split('; ') if lng)
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lng_all_names = lng3 | lng3term | lng2 | lng_en_name | lng_fr_name
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lng3_to_lng3term = dict((l[0], l[1]) for l in language_matrix if l[1])
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lng3term_to_lng3 = dict((l[1], l[0]) for l in language_matrix if l[1])
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lng3_to_lng2 = dict((l[0], l[2]) for l in language_matrix if l[2])
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lng2_to_lng3 = dict((l[2], l[0]) for l in language_matrix if l[2])
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# we only return the first given english name, hoping it is the most used one
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lng3_to_lng_en_name = dict((l[0], l[3].split('; ')[0])
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for l in language_matrix if l[3])
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lng_en_name_to_lng3 = dict((en_name.lower(), l[0])
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for l in language_matrix if l[3]
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for en_name in l[3].split('; '))
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# we only return the first given french name, hoping it is the most used one
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lng3_to_lng_fr_name = dict((l[0], l[4].split('; ')[0])
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for l in language_matrix if l[4])
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lng_fr_name_to_lng3 = dict((fr_name.lower(), l[0])
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for l in language_matrix if l[4]
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for fr_name in l[4].split('; '))
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# contains a list of exceptions: strings that should be parsed as a language
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# but which are not in an ISO form
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lng_exceptions = { 'unknown': ('und', None),
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'inconnu': ('und', None),
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'unk': ('und', None),
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'un': ('und', None),
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'gr': ('gre', None),
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'greek': ('gre', None),
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'esp': ('spa', None),
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'español': ('spa', None),
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'se': ('swe', None),
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'po': ('pt', 'br'),
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'pb': ('pt', 'br'),
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'pob': ('pt', 'br'),
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'br': ('pt', 'br'),
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'brazilian': ('pt', 'br'),
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'català': ('cat', None),
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'cz': ('cze', None),
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'ua': ('ukr', None),
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'cn': ('chi', None),
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'chs': ('chi', None),
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'jp': ('jpn', None),
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'scr': ('hrv', None)
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}
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def is_iso_language(language):
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return language.lower() in lng_all_names
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def is_language(language):
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return is_iso_language(language) or language in lng_exceptions
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def lang_set(languages, strict=False):
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"""Return a set of guessit.Language created from their given string
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representation.
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if strict is True, then this will raise an exception if any language
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could not be identified.
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"""
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return set(Language(l, strict=strict) for l in languages)
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class Language(UnicodeMixin):
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"""This class represents a human language.
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You can initialize it with pretty much anything, as it knows conversion
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from ISO-639 2-letter and 3-letter codes, English and French names.
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You can also distinguish languages for specific countries, such as
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Portuguese and Brazilian Portuguese.
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There are various properties on the language object that give you the
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representation of the language for a specific usage, such as .alpha3
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to get the ISO 3-letter code, or .opensubtitles to get the OpenSubtitles
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language code.
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>>> Language('fr')
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Language(French)
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>>> s(Language('eng').french_name)
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'anglais'
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>>> s(Language('pt(br)').country.english_name)
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'Brazil'
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>>> s(Language('Español (Latinoamérica)').country.english_name)
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'Latin America'
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>>> Language('Spanish (Latin America)') == Language('Español (Latinoamérica)')
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True
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>>> s(Language('zz', strict=False).english_name)
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'Undetermined'
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>>> s(Language('pt(br)').opensubtitles)
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'pob'
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"""
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_with_country_regexp = re.compile('(.*)\((.*)\)')
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_with_country_regexp2 = re.compile('(.*)-(.*)')
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def __init__(self, language, country=None, strict=False, scheme=None):
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language = u(language.strip().lower())
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with_country = (Language._with_country_regexp.match(language) or
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Language._with_country_regexp2.match(language))
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if with_country:
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self.lang = Language(with_country.group(1)).lang
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self.country = Country(with_country.group(2))
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return
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self.lang = None
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self.country = Country(country) if country else None
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# first look for scheme specific languages
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if scheme == 'opensubtitles':
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if language == 'br':
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self.lang = 'bre'
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return
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elif language == 'se':
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self.lang = 'sme'
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return
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elif scheme is not None:
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log.warning('Unrecognized scheme: "%s" - Proceeding with standard one' % scheme)
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# look for ISO language codes
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if len(language) == 2:
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self.lang = lng2_to_lng3.get(language)
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elif len(language) == 3:
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self.lang = (language
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if language in lng3
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else lng3term_to_lng3.get(language))
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else:
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self.lang = (lng_en_name_to_lng3.get(language) or
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lng_fr_name_to_lng3.get(language))
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# general language exceptions
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if self.lang is None and language in lng_exceptions:
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lang, country = lng_exceptions[language]
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self.lang = Language(lang).alpha3
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self.country = Country(country) if country else None
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msg = 'The given string "%s" could not be identified as a language' % language
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if self.lang is None and strict:
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raise ValueError(msg)
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if self.lang is None:
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log.debug(msg)
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self.lang = 'und'
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@property
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def alpha2(self):
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return lng3_to_lng2[self.lang]
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@property
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def alpha3(self):
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return self.lang
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@property
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def alpha3term(self):
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return lng3_to_lng3term[self.lang]
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@property
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def english_name(self):
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return lng3_to_lng_en_name[self.lang]
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@property
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def french_name(self):
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return lng3_to_lng_fr_name[self.lang]
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@property
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def opensubtitles(self):
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if self.lang == 'por' and self.country and self.country.alpha2 == 'br':
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return 'pob'
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elif self.lang in ['gre', 'srp']:
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return self.alpha3term
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return self.alpha3
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@property
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def tmdb(self):
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if self.country:
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return '%s-%s' % (self.alpha2, self.country.alpha2.upper())
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return self.alpha2
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def __hash__(self):
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return hash(self.lang)
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def __eq__(self, other):
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if isinstance(other, Language):
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return self.lang == other.lang
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if isinstance(other, base_text_type):
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try:
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return self == Language(other)
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except ValueError:
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return False
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return False
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def __ne__(self, other):
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return not self == other
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def __nonzero__(self):
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return self.lang != 'und'
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def __unicode__(self):
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if self.country:
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return '%s(%s)' % (self.english_name, self.country.alpha2)
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else:
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return self.english_name
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def __repr__(self):
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if self.country:
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return 'Language(%s, country=%s)' % (self.english_name, self.country)
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else:
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return 'Language(%s)' % self.english_name
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UNDETERMINED = Language('und')
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ALL_LANGUAGES = frozenset(Language(lng) for lng in lng_all_names) - frozenset([UNDETERMINED])
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ALL_LANGUAGES_NAMES = lng_all_names
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def search_language(string, lang_filter=None):
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"""Looks for language patterns, and if found return the language object,
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its group span and an associated confidence.
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you can specify a list of allowed languages using the lang_filter argument,
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as in lang_filter = [ 'fr', 'eng', 'spanish' ]
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>>> search_language('movie [en].avi')
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(Language(English), (7, 9), 0.8)
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>>> search_language('the zen fat cat and the gay mad men got a new fan', lang_filter = ['en', 'fr', 'es'])
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(None, None, None)
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"""
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# list of common words which could be interpreted as languages, but which
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# are far too common to be able to say they represent a language in the
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# middle of a string (where they most likely carry their commmon meaning)
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lng_common_words = frozenset([
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# english words
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'is', 'it', 'am', 'mad', 'men', 'man', 'run', 'sin', 'st', 'to',
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'no', 'non', 'war', 'min', 'new', 'car', 'day', 'bad', 'bat', 'fan',
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'fry', 'cop', 'zen', 'gay', 'fat', 'cherokee', 'got', 'an', 'as',
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'cat', 'her', 'be', 'hat', 'sun', 'may', 'my', 'mr', 'rum', 'pi',
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# french words
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'bas', 'de', 'le', 'son', 'vo', 'vf', 'ne', 'ca', 'ce', 'et', 'que',
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'mal', 'est', 'vol', 'or', 'mon', 'se',
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# spanish words
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'la', 'el', 'del', 'por', 'mar',
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# other
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'ind', 'arw', 'ts', 'ii', 'bin', 'chan', 'ss', 'san', 'oss', 'iii',
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'vi', 'ben', 'da', 'lt'
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])
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sep = r'[](){} \._-+'
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if lang_filter:
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lang_filter = lang_set(lang_filter)
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slow = ' %s ' % string.lower()
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confidence = 1.0 # for all of them
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for lang in set(find_words(slow)) & lng_all_names:
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if lang in lng_common_words:
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continue
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pos = slow.find(lang)
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if pos != -1:
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end = pos + len(lang)
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# make sure our word is always surrounded by separators
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if slow[pos - 1] not in sep or slow[end] not in sep:
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continue
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language = Language(slow[pos:end])
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if lang_filter and language not in lang_filter:
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continue
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# only allow those languages that have a 2-letter code, those that
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# don't are too esoteric and probably false matches
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if language.lang not in lng3_to_lng2:
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continue
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# confidence depends on lng2, lng3, english name, ...
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if len(lang) == 2:
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confidence = 0.8
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elif len(lang) == 3:
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confidence = 0.9
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else:
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# Note: we could either be really confident that we found a
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# language or assume that full language names are too
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# common words and lower their confidence accordingly
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confidence = 0.3 # going with the low-confidence route here
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return language, (pos - 1, end - 1), confidence
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return None, None, None
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def guess_language(text):
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"""Guess the language in which a body of text is written.
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This uses the external guess-language python module, and will fail and return
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Language(Undetermined) if it is not installed.
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"""
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try:
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from guess_language import guessLanguage
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return Language(guessLanguage(text))
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except ImportError:
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log.error('Cannot detect the language of the given text body, missing dependency: guess-language')
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log.error('Please install it from PyPI, by doing eg: pip install guess-language')
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return UNDETERMINED
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