mirror of
https://github.com/moparisthebest/SickRage
synced 2024-11-17 14:55:07 -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!
508 lines
22 KiB
Python
508 lines
22 KiB
Python
"""
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parser.http.personParser 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 person.
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E.g., for "Mel Gibson" the referred pages would be:
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categorized: http://akas.imdb.com/name/nm0000154/maindetails
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biography: http://akas.imdb.com/name/nm0000154/bio
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...and so on...
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Copyright 2004-20101 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 imdb.Movie import Movie
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from imdb.utils import analyze_name, canonicalName, normalizeName, \
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analyze_title, date_and_notes
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from utils import build_movie, DOMParserBase, Attribute, Extractor, \
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analyze_imdbid
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from movieParser import _manageRoles
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_reRoles = re.compile(r'(<li>.*? \.\.\.\. )(.*?)(</li>|<br>)',
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re.I | re.M | re.S)
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def build_date(date):
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day = date.get('day')
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year = date.get('year')
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if day and year:
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return "%s %s" % (day, year)
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if day:
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return day
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if year:
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return year
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return ""
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class DOMHTMLMaindetailsParser(DOMParserBase):
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"""Parser for the "categorized" (maindetails) page of a given person.
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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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cparser = DOMHTMLMaindetailsParser()
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result = cparser.parse(categorized_html_string)
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"""
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_containsObjects = True
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_birth_attrs = [Attribute(key='birth date',
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path='.//time[@itemprop="birthDate"]/@datetime'),
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Attribute(key='birth place',
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path=".//a[starts-with(@href, " \
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"'/search/name?birth_place=')]/text()")]
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_death_attrs = [Attribute(key='death date',
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path='.//time[@itemprop="deathDate"]/@datetime'),
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Attribute(key='death place',
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path=".//a[starts-with(@href, " \
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"'/search/name?death_place=')]/text()")]
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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': "./b/a[1]/@href",
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'title': "./b/a[1]/text()",
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'notes': "./b/following-sibling::text()",
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'year': "./span[@class='year_column']/text()",
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'status': "./a[@class='in_production']/text()",
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'rolesNoChar': './/br/following-sibling::text()',
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'chrRoles': "./a[@imdbpyname]/@imdbpyname",
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'roleID': "./a[starts-with(@href, '/character/')]/@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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year=x.get('year'),
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movieID=analyze_imdbid(x.get('link') or u''),
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rolesNoChar=(x.get('rolesNoChar') or u'').strip(),
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chrRoles=(x.get('chrRoles') or u'').strip(),
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additionalNotes=x.get('notes'),
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roleID=(x.get('roleID') or u''),
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status=x.get('status') or None))]
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extractors = [
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Extractor(label='name',
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path="//h1[@class='header']",
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attrs=Attribute(key='name',
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path=".//text()",
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postprocess=lambda x: analyze_name(x,
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canonical=1))),
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Extractor(label='birth info',
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path="//div[h4='Born:']",
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attrs=_birth_attrs),
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Extractor(label='death info',
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path="//div[h4='Died:']",
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attrs=_death_attrs),
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Extractor(label='headshot',
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path="//td[@id='img_primary']/a",
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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[h4='Alternate Names:']",
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attrs=Attribute(key='akas',
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path="./text()",
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postprocess=lambda x: x.strip().split(' '))),
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Extractor(label='filmography',
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group="//div[starts-with(@id, 'filmo-head-')]",
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group_key="./a[@name]/text()",
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group_key_normalize=lambda x: x.lower().replace(': ', ' '),
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path="./following-sibling::div[1]" \
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"/div[starts-with(@class, 'filmo-row')]",
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attrs=_film_attrs),
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Extractor(label='indevelopment',
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path="//div[starts-with(@class,'devitem')]",
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attrs=Attribute(key='in development',
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multi=True,
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path={
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'link': './a/@href',
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'title': './a/text()'
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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=(x.get('roleID') or u'').split('/'),
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status=x.get('status') or None)))
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]
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preprocessors = [('<div class="clear"/> </div>', ''),
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('<br/>', '<br />'),
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(re.compile(r'(<a href="/character/ch[0-9]{7}")>(.*?)</a>'),
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r'\1 imdbpyname="\2@@">\2</a>')]
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def postprocess_data(self, data):
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for what in 'birth date', 'death date':
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if what in data and not data[what]:
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del data[what]
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# XXX: the code below is for backwards compatibility
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# probably could be removed
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for key in data.keys():
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if key.startswith('actor '):
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if not data.has_key('actor'):
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data['actor'] = []
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data['actor'].extend(data[key])
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del data[key]
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if key.startswith('actress '):
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if not data.has_key('actress'):
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data['actress'] = []
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data['actress'].extend(data[key])
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del data[key]
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if key.startswith('self '):
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if not data.has_key('self'):
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data['self'] = []
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data['self'].extend(data[key])
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del data[key]
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if key == 'birth place':
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data['birth notes'] = data[key]
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del data[key]
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if key == 'death place':
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data['death notes'] = data[key]
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del data[key]
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return data
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class DOMHTMLBioParser(DOMParserBase):
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"""Parser for the "biography" page of a given person.
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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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bioparser = DOMHTMLBioParser()
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result = bioparser.parse(biography_html_string)
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"""
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_defGetRefs = True
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_birth_attrs = [Attribute(key='birth date',
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path={
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'day': "./a[starts-with(@href, " \
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"'/date/')]/text()",
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'year': "./a[starts-with(@href, " \
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"'/search/name?birth_year=')]/text()"
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},
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postprocess=build_date),
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Attribute(key='birth notes',
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path="./a[starts-with(@href, " \
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"'/search/name?birth_place=')]/text()")]
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_death_attrs = [Attribute(key='death date',
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path={
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'day': "./a[starts-with(@href, " \
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"'/date/')]/text()",
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'year': "./a[starts-with(@href, " \
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"'/search/name?death_date=')]/text()"
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},
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postprocess=build_date),
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Attribute(key='death notes',
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path="./text()",
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# TODO: check if this slicing is always correct
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postprocess=lambda x: u''.join(x).strip()[2:])]
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extractors = [
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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='birth info',
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path="//div[h5='Date of Birth']",
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attrs=_birth_attrs),
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Extractor(label='death info',
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path="//div[h5='Date of Death']",
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attrs=_death_attrs),
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Extractor(label='nick names',
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path="//div[h5='Nickname']",
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attrs=Attribute(key='nick names',
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path="./text()",
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joiner='|',
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postprocess=lambda x: [n.strip().replace(' (',
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'::(', 1) for n in x.split('|')
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if n.strip()])),
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Extractor(label='birth name',
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path="//div[h5='Birth Name']",
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attrs=Attribute(key='birth name',
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path="./text()",
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postprocess=lambda x: canonicalName(x.strip()))),
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Extractor(label='height',
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path="//div[h5='Height']",
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attrs=Attribute(key='height',
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path="./text()",
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postprocess=lambda x: x.strip())),
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Extractor(label='mini biography',
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path="//div[h5='Mini Biography']",
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attrs=Attribute(key='mini biography',
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multi=True,
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path={
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'bio': "./p//text()",
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'by': "./b/following-sibling::a/text()"
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},
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postprocess=lambda x: "%s::%s" % \
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(x.get('bio').strip(),
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(x.get('by') or u'').strip() or u'Anonymous'))),
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Extractor(label='spouse',
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path="//div[h5='Spouse']/table/tr",
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attrs=Attribute(key='spouse',
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multi=True,
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path={
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'name': "./td[1]//text()",
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'info': "./td[2]//text()"
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},
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postprocess=lambda x: ("%s::%s" % \
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(x.get('name').strip(),
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(x.get('info') or u'').strip())).strip(':'))),
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Extractor(label='trade mark',
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path="//div[h5='Trade Mark']/p",
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attrs=Attribute(key='trade mark',
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multi=True,
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path=".//text()",
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postprocess=lambda x: x.strip())),
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Extractor(label='trivia',
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path="//div[h5='Trivia']/p",
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attrs=Attribute(key='trivia',
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multi=True,
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path=".//text()",
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postprocess=lambda x: x.strip())),
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Extractor(label='quotes',
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path="//div[h5='Personal Quotes']/p",
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attrs=Attribute(key='quotes',
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multi=True,
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path=".//text()",
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postprocess=lambda x: x.strip())),
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Extractor(label='salary',
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path="//div[h5='Salary']/table/tr",
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attrs=Attribute(key='salary history',
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multi=True,
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path={
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'title': "./td[1]//text()",
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'info': "./td[2]/text()",
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},
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postprocess=lambda x: "%s::%s" % \
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(x.get('title').strip(),
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x.get('info').strip()))),
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Extractor(label='where now',
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path="//div[h5='Where Are They Now']/p",
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attrs=Attribute(key='where now',
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multi=True,
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path=".//text()",
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postprocess=lambda x: x.strip())),
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]
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preprocessors = [
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(re.compile('(<h5>)', re.I), r'</div><div class="_imdbpy">\1'),
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(re.compile('(</table>\n</div>\s+)</div>', re.I + re.DOTALL), r'\1'),
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(re.compile('(<div id="tn15bot">)'), r'</div>\1'),
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(re.compile('\.<br><br>([^\s])', re.I), r'. \1')
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]
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def postprocess_data(self, data):
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for what in 'birth date', 'death date':
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if what in data and not data[what]:
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del data[what]
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return data
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class DOMHTMLOtherWorksParser(DOMParserBase):
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"""Parser for the "other works" and "agent" pages of a given person.
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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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owparser = DOMHTMLOtherWorksParser()
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result = owparser.parse(otherworks_html_string)
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"""
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_defGetRefs = True
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kind = 'other works'
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# XXX: looks like the 'agent' page is no more public.
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extractors = [
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Extractor(label='other works',
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path="//h5[text()='Other works']/" \
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"following-sibling::div[1]",
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attrs=Attribute(key='self.kind',
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path=".//text()",
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postprocess=lambda x: x.strip().split('\n\n')))
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]
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preprocessors = [
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(re.compile('(<h5>[^<]+</h5>)', re.I),
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r'</div>\1<div class="_imdbpy">'),
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(re.compile('(</table>\n</div>\s+)</div>', re.I), r'\1'),
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(re.compile('(<div id="tn15bot">)'), r'</div>\1'),
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(re.compile('<br/><br/>', re.I), r'\n\n')
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]
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def _build_episode(link, title, minfo, role, roleA, roleAID):
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"""Build an Movie object for a given episode of a series."""
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episode_id = analyze_imdbid(link)
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notes = u''
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minidx = minfo.find(' -')
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# Sometimes, for some unknown reason, the role is left in minfo.
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if minidx != -1:
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slfRole = minfo[minidx+3:].lstrip()
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minfo = minfo[:minidx].rstrip()
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if slfRole.endswith(')'):
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commidx = slfRole.rfind('(')
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if commidx != -1:
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notes = slfRole[commidx:]
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slfRole = slfRole[:commidx]
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if slfRole and role is None and roleA is None:
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role = slfRole
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eps_data = analyze_title(title)
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eps_data['kind'] = u'episode'
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# FIXME: it's wrong for multiple characters (very rare on tv series?).
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if role is None:
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role = roleA # At worse, it's None.
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if role is None:
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roleAID = None
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if roleAID is not None:
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roleAID = analyze_imdbid(roleAID)
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e = Movie(movieID=episode_id, data=eps_data, currentRole=role,
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roleID=roleAID, notes=notes)
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# XXX: are we missing some notes?
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# XXX: does it parse things as "Episode dated 12 May 2005 (12 May 2005)"?
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if minfo.startswith('('):
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pe = minfo.find(')')
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if pe != -1:
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date = minfo[1:pe]
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if date != '????':
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e['original air date'] = date
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if eps_data.get('year', '????') == '????':
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syear = date.split()[-1]
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if syear.isdigit():
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e['year'] = int(syear)
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return e
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class DOMHTMLSeriesParser(DOMParserBase):
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"""Parser for the "by TV series" page of a given person.
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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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sparser = DOMHTMLSeriesParser()
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result = sparser.parse(filmoseries_html_string)
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"""
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_containsObjects = True
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extractors = [
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Extractor(label='series',
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group="//div[@class='filmo']/span[1]",
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group_key="./a[1]",
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path="./following-sibling::ol[1]/li/a[1]",
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attrs=Attribute(key=None,
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multi=True,
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path={
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'link': "./@href",
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'title': "./text()",
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'info': "./following-sibling::text()",
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'role': "./following-sibling::i[1]/text()",
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'roleA': "./following-sibling::a[1]/text()",
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'roleAID': "./following-sibling::a[1]/@href"
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},
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postprocess=lambda x: _build_episode(x.get('link'),
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x.get('title'),
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(x.get('info') or u'').strip(),
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x.get('role'),
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x.get('roleA'),
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x.get('roleAID'))))
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]
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def postprocess_data(self, data):
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if len(data) == 0:
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return {}
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nd = {}
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for key in data.keys():
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dom = self.get_dom(key)
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link = self.xpath(dom, "//a/@href")[0]
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title = self.xpath(dom, "//a/text()")[0][1:-1]
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series = Movie(movieID=analyze_imdbid(link),
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data=analyze_title(title),
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accessSystem=self._as, modFunct=self._modFunct)
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nd[series] = []
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for episode in data[key]:
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# XXX: should we create a copy of 'series', to avoid
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# circular references?
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episode['episode of'] = series
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nd[series].append(episode)
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return {'episodes': nd}
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class DOMHTMLPersonGenresParser(DOMParserBase):
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"""Parser for the "by genre" and "by keywords" pages of a given person.
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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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gparser = DOMHTMLPersonGenresParser()
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result = gparser.parse(bygenre_html_string)
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"""
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kind = 'genres'
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_containsObjects = True
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extractors = [
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Extractor(label='genres',
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group="//b/a[@name]/following-sibling::a[1]",
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group_key="./text()",
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group_key_normalize=lambda x: x.lower(),
|
|
path="../../following-sibling::ol[1]/li//a[1]",
|
|
attrs=Attribute(key=None,
|
|
multi=True,
|
|
path={
|
|
'link': "./@href",
|
|
'title': "./text()",
|
|
'info': "./following-sibling::text()"
|
|
},
|
|
postprocess=lambda x: \
|
|
build_movie(x.get('title') + \
|
|
x.get('info').split('[')[0],
|
|
analyze_imdbid(x.get('link')))))
|
|
]
|
|
|
|
def postprocess_data(self, data):
|
|
if len(data) == 0:
|
|
return {}
|
|
return {self.kind: data}
|
|
|
|
|
|
from movieParser import DOMHTMLTechParser
|
|
from movieParser import DOMHTMLOfficialsitesParser
|
|
from movieParser import DOMHTMLAwardsParser
|
|
from movieParser import DOMHTMLNewsParser
|
|
|
|
|
|
_OBJECTS = {
|
|
'maindetails_parser': ((DOMHTMLMaindetailsParser,), None),
|
|
'bio_parser': ((DOMHTMLBioParser,), None),
|
|
'otherworks_parser': ((DOMHTMLOtherWorksParser,), None),
|
|
#'agent_parser': ((DOMHTMLOtherWorksParser,), {'kind': 'agent'}),
|
|
'person_officialsites_parser': ((DOMHTMLOfficialsitesParser,), None),
|
|
'person_awards_parser': ((DOMHTMLAwardsParser,), {'subject': 'name'}),
|
|
'publicity_parser': ((DOMHTMLTechParser,), {'kind': 'publicity'}),
|
|
'person_series_parser': ((DOMHTMLSeriesParser,), None),
|
|
'person_contacts_parser': ((DOMHTMLTechParser,), {'kind': 'contacts'}),
|
|
'person_genres_parser': ((DOMHTMLPersonGenresParser,), None),
|
|
'person_keywords_parser': ((DOMHTMLPersonGenresParser,),
|
|
{'kind': 'keywords'}),
|
|
'news_parser': ((DOMHTMLNewsParser,), None),
|
|
}
|
|
|