mirror of
https://github.com/moparisthebest/SickRage
synced 2024-11-17 23:05:11 -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!
204 lines
7.9 KiB
Python
204 lines
7.9 KiB
Python
"""
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parser.http.characterParser module (imdb package).
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This module provides the classes (and the instances), used to parse
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the IMDb pages on the akas.imdb.com server about a character.
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E.g., for "Jesse James" the referred pages would be:
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main details: http://www.imdb.com/character/ch0000001/
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biography: http://www.imdb.com/character/ch0000001/bio
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...and so on...
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Copyright 2007-2009 Davide Alberani <da@erlug.linux.it>
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2008 H. Turgut Uyar <uyar@tekir.org>
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This program is free software; you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation; either version 2 of the License, or
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(at your option) any later version.
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This program 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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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program; if not, write to the Free Software
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Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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"""
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import re
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from utils import Attribute, Extractor, DOMParserBase, build_movie, \
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analyze_imdbid
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from personParser import DOMHTMLMaindetailsParser
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from imdb.Movie import Movie
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_personIDs = re.compile(r'/name/nm([0-9]{7})')
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class DOMHTMLCharacterMaindetailsParser(DOMHTMLMaindetailsParser):
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"""Parser for the "filmography" page of a given character.
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The page should be provided as a string, as taken from
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the akas.imdb.com server. The final result will be a
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dictionary, with a key for every relevant section.
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Example:
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bparser = DOMHTMLCharacterMaindetailsParser()
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result = bparser.parse(character_biography_html_string)
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"""
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_containsObjects = True
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_film_attrs = [Attribute(key=None,
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multi=True,
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path={
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'link': "./a[1]/@href",
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'title': ".//text()",
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'status': "./i/a//text()",
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'roleID': "./a/@href"
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},
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postprocess=lambda x:
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build_movie(x.get('title') or u'',
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movieID=analyze_imdbid(x.get('link') or u''),
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roleID=_personIDs.findall(x.get('roleID') or u''),
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status=x.get('status') or None,
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_parsingCharacter=True))]
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extractors = [
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Extractor(label='title',
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path="//title",
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attrs=Attribute(key='name',
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path="./text()",
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postprocess=lambda x: \
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x.replace(' (Character)', '').replace(
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'- Filmography by type', '').strip())),
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Extractor(label='headshot',
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path="//a[@name='headshot']",
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attrs=Attribute(key='headshot',
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path="./img/@src")),
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Extractor(label='akas',
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path="//div[h5='Alternate Names:']",
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attrs=Attribute(key='akas',
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path="./div//text()",
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postprocess=lambda x: x.strip().split(' / '))),
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Extractor(label='filmography',
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path="//div[@class='filmo'][not(h5)]/ol/li",
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attrs=_film_attrs),
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Extractor(label='filmography sections',
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group="//div[@class='filmo'][h5]",
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group_key="./h5/a/text()",
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group_key_normalize=lambda x: x.lower()[:-1],
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path="./ol/li",
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attrs=_film_attrs),
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]
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preprocessors = [
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# Check that this doesn't cut "status"...
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(re.compile(r'<br>(\.\.\.| ).+?</li>', re.I | re.M), '</li>')]
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class DOMHTMLCharacterBioParser(DOMParserBase):
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"""Parser for the "biography" page of a given character.
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The page should be provided as a string, as taken from
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the akas.imdb.com server. The final result will be a
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dictionary, with a key for every relevant section.
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Example:
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bparser = DOMHTMLCharacterBioParser()
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result = bparser.parse(character_biography_html_string)
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"""
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_defGetRefs = True
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extractors = [
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Extractor(label='introduction',
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path="//div[@id='_intro']",
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attrs=Attribute(key='introduction',
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path=".//text()",
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postprocess=lambda x: x.strip())),
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Extractor(label='biography',
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path="//span[@class='_biography']",
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attrs=Attribute(key='biography',
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multi=True,
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path={
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'info': "./preceding-sibling::h4[1]//text()",
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'text': ".//text()"
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},
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postprocess=lambda x: u'%s: %s' % (
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x.get('info').strip(),
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x.get('text').replace('\n',
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' ').replace('||', '\n\n').strip()))),
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]
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preprocessors = [
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(re.compile('(<div id="swiki.2.3.1">)', re.I), r'\1<div id="_intro">'),
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(re.compile('(<a name="history">)\s*(<table .*?</table>)',
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re.I | re.DOTALL),
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r'</div>\2\1</a>'),
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(re.compile('(<a name="[^"]+">)(<h4>)', re.I), r'</span>\1</a>\2'),
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(re.compile('(</h4>)</a>', re.I), r'\1<span class="_biography">'),
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(re.compile('<br/><br/>', re.I), r'||'),
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(re.compile('\|\|\n', re.I), r'</span>'),
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]
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class DOMHTMLCharacterQuotesParser(DOMParserBase):
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"""Parser for the "quotes" page of a given character.
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The page should be provided as a string, as taken from
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the akas.imdb.com server. The final result will be a
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dictionary, with a key for every relevant section.
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Example:
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qparser = DOMHTMLCharacterQuotesParser()
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result = qparser.parse(character_quotes_html_string)
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"""
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_defGetRefs = True
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extractors = [
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Extractor(label='charquotes',
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group="//h5",
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group_key="./a/text()",
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path="./following-sibling::div[1]",
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attrs=Attribute(key=None,
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path={'txt': ".//text()",
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'movieID': ".//a[1]/@href"},
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postprocess=lambda x: (analyze_imdbid(x['movieID']),
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x['txt'].strip().replace(': ',
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': ').replace(': ', ': ').split('||'))))
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]
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preprocessors = [
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(re.compile('(</h5>)', re.I), r'\1<div>'),
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(re.compile('\s*<br/><br/>\s*', re.I), r'||'),
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(re.compile('\|\|\s*(<hr/>)', re.I), r'</div>\1'),
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(re.compile('\s*<br/>\s*', re.I), r'::')
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]
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def postprocess_data(self, data):
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if not data:
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return {}
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newData = {}
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for title in data:
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movieID, quotes = data[title]
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if movieID is None:
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movie = title
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else:
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movie = Movie(title=title, movieID=movieID,
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accessSystem=self._as, modFunct=self._modFunct)
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newData[movie] = [quote.split('::') for quote in quotes]
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return {'quotes': newData}
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from personParser import DOMHTMLSeriesParser
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_OBJECTS = {
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'character_main_parser': ((DOMHTMLCharacterMaindetailsParser,),
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{'kind': 'character'}),
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'character_series_parser': ((DOMHTMLSeriesParser,), None),
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'character_bio_parser': ((DOMHTMLCharacterBioParser,), None),
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'character_quotes_parser': ((DOMHTMLCharacterQuotesParser,), None)
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}
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