mirror of
https://github.com/SickGear/SickGear.git
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683 lines
27 KiB
Python
683 lines
27 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 www.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://www.imdb.com/name/nm0000154/maindetails
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biography: http://www.imdb.com/name/nm0000154/bio
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...and so on...
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Copyright 2004-2013 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 www.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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_name_imdb_index = re.compile(r'\([IVXLCDM]+\)')
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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='name_index',
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path="//h1[@class='header']/span[1]",
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attrs=Attribute(key='name_index',
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path="./text()")),
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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']/div[@class='image']/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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name_index = (data.get('name_index') or '').strip()
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if name_index:
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if self._name_imdb_index.match(name_index):
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data['imdbIndex'] = name_index[1:-1]
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del data['name_index']
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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 www.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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"'/search/name?birth_monthday=')]/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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"'/search/name?death_monthday=')]/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(
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label='headshot',
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path="//a[@name='headshot']",
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attrs=Attribute(
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key='headshot',
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path="./img/@src"
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)
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),
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Extractor(
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label='birth info',
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path="//table[@id='overviewTable']"
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"//td[text()='Date of Birth']/following-sibling::td[1]",
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attrs=_birth_attrs
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),
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Extractor(
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label='death info',
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path="//table[@id='overviewTable']"
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"//td[text()='Date of Death']/following-sibling::td[1]",
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attrs=_death_attrs
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),
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Extractor(
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label='nick names',
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path="//table[@id='overviewTable']"
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"//td[text()='Nickenames']/following-sibling::td[1]",
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attrs=Attribute(
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key='nick names',
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path="./text()",
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joiner='|',
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postprocess=lambda x: [n.strip().replace(' (', '::(', 1) for n in x.split('|')
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if n.strip()]
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)
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),
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Extractor(
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label='birth name',
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path="//table[@id='overviewTable']"
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"//td[text()='Birth Name']/following-sibling::td[1]",
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attrs=Attribute(
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key='birth name',
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path="./text()",
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postprocess=lambda x: canonicalName(x.strip())
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)
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),
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Extractor(
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label='height',
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path="//table[@id='overviewTable']//td[text()='Height']/following-sibling::td[1]",
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attrs=Attribute(
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key='height',
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path="./text()",
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postprocess=lambda x: x.strip()
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)
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),
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Extractor(
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label='mini biography',
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path="//a[@name='mini_bio']/following-sibling::"
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"div[1 = count(preceding-sibling::a[1] | ../a[@name='mini_bio'])]",
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attrs=Attribute(
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key='mini biography',
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multi=True,
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path={
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'bio': ".//text()",
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'by': ".//a[@name='ba']//text()"
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},
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postprocess=lambda x: "%s::%s" % (
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(x.get('bio') or u'').split('- IMDb Mini Biography By:')[0].strip(),
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(x.get('by') or u'').strip() or u'Anonymous'
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)
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)
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),
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Extractor(
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label='spouse',
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path="//div[h5='Spouse']/table/tr",
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attrs=Attribute(
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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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)
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),
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Extractor(
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label='trade mark',
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path="//div[h5='Trade Mark']/p",
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attrs=Attribute(
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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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)
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),
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Extractor(
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label='trivia',
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path="//div[h5='Trivia']/p",
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attrs=Attribute(
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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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)
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),
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Extractor(
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label='quotes',
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path="//div[h5='Personal Quotes']/p",
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attrs=Attribute(
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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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)
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),
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Extractor(
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label='salary',
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path="//div[h5='Salary']/table/tr",
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attrs=Attribute(
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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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)
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),
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Extractor(
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label='where now',
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path="//div[h5='Where Are They Now']/p",
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attrs=Attribute(
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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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)
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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 DOMHTMLResumeParser(DOMParserBase):
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"""Parser for the "resume" 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 www.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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resumeparser = DOMHTMLResumeParser()
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result = resumeparser.parse(resume_html_string)
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"""
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_defGetRefs = True
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extractors = [
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Extractor(label='info',
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group="//div[@class='section_box']",
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group_key="./h3/text()",
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group_key_normalize=lambda x: x.lower().replace(' ', '_'),
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path="./ul[@class='resume_section_multi_list']//li",
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attrs=Attribute(key=None,
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multi=True,
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path={
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'title': ".//b//text()",
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'desc': ".//text()",
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},
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postprocess=lambda x: (x.get('title'), x.get('desc').strip().replace('\n', ' ')))),
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Extractor(label='other_info',
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group="//div[@class='section_box']",
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group_key="./h3/text()",
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group_key_normalize=lambda x: x.lower().replace(' ', '_'),
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path="./ul[@class='_imdbpy']//li",
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attrs=Attribute(key=None,
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multi=True,
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path=".//text()",
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postprocess=lambda x: x.strip().replace('\n', ' '))),
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Extractor(label='credits',
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group="//div[@class='section_box']",
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group_key="./h3/text()",
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group_key_normalize=lambda x: x.lower().replace(' ', '_'),
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path="./table[@class='credits']//tr",
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attrs=Attribute(key=None,
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multi=True,
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path={
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'0':".//td[1]//text()",
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'1':".//td[2]//text()",
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'2':".//td[3]//text()",
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},
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postprocess=lambda x: [x.get('0'),x.get('1'),x.get('2')])),
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Extractor(label='mini_info',
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path="//div[@class='center']",
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attrs=Attribute(key='mini_info',
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path=".//text()",
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postprocess=lambda x: x.strip().replace('\n', ' '))),
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Extractor(label='name',
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path="//div[@class='center']/h1[@id='preview_user_name']",
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attrs=Attribute(key='name',
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path=".//text()",
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postprocess=lambda x: x.strip().replace('\n', ' '))),
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Extractor(label='resume_bio',
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path="//div[@id='resume_rendered_html']//p",
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attrs=Attribute(key='resume_bio',
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multi=True,
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path=".//text()")),
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]
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preprocessors = [
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(re.compile('(<ul>)', re.I), r'<ul class="_imdbpy">\1'),
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]
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def postprocess_data(self, data):
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for key in data.keys():
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if data[key] == '':
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del data[key]
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if key in ('mini_info', 'name', 'resume_bio'):
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if key == 'resume_bio':
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data[key] = "".join(data[key]).strip()
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continue
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if len(data[key][0]) == 3:
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for item in data[key]:
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item[:] = [x for x in item if not x is None]
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continue
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if len(data[key][0]) == 2:
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new_key = {}
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for item in data[key]:
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if item[0] is None:
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continue
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if ':' in item[0]:
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if item[1].replace(item[0], '')[1:].strip() == '':
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continue
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new_key[item[0].strip().replace(':', '')] = item[1].replace(item[0], '')[1:].strip()
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else:
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new_key[item[0]] = item[1]
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data[key] = new_key
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new_data = {'resume': data}
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return new_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 www.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:
|
|
owparser = DOMHTMLOtherWorksParser()
|
|
result = owparser.parse(otherworks_html_string)
|
|
"""
|
|
_defGetRefs = True
|
|
kind = 'other works'
|
|
|
|
# XXX: looks like the 'agent' page is no more public.
|
|
extractors = [
|
|
Extractor(label='other works',
|
|
path="//h5[text()='Other works']/" \
|
|
"following-sibling::div[1]",
|
|
attrs=Attribute(key='self.kind',
|
|
path=".//text()",
|
|
postprocess=lambda x: x.strip().split('\n\n')))
|
|
]
|
|
|
|
preprocessors = [
|
|
(re.compile('(<h5>[^<]+</h5>)', re.I),
|
|
r'</div>\1<div class="_imdbpy">'),
|
|
(re.compile('(</table>\n</div>\s+)</div>', re.I), r'\1'),
|
|
(re.compile('(<div id="tn15bot">)'), r'</div>\1'),
|
|
(re.compile('<br/><br/>', re.I), r'\n\n')
|
|
]
|
|
|
|
|
|
def _build_episode(link, title, minfo, role, roleA, roleAID):
|
|
"""Build an Movie object for a given episode of a series."""
|
|
episode_id = analyze_imdbid(link)
|
|
notes = u''
|
|
minidx = minfo.find(' -')
|
|
# Sometimes, for some unknown reason, the role is left in minfo.
|
|
if minidx != -1:
|
|
slfRole = minfo[minidx + 3:].lstrip()
|
|
minfo = minfo[:minidx].rstrip()
|
|
if slfRole.endswith(')'):
|
|
commidx = slfRole.rfind('(')
|
|
if commidx != -1:
|
|
notes = slfRole[commidx:]
|
|
slfRole = slfRole[:commidx]
|
|
if slfRole and role is None and roleA is None:
|
|
role = slfRole
|
|
eps_data = analyze_title(title)
|
|
eps_data['kind'] = u'episode'
|
|
# FIXME: it's wrong for multiple characters (very rare on tv series?).
|
|
if role is None:
|
|
role = roleA # At worse, it's None.
|
|
if role is None:
|
|
roleAID = None
|
|
if roleAID is not None:
|
|
roleAID = analyze_imdbid(roleAID)
|
|
e = Movie(movieID=episode_id, data=eps_data, currentRole=role,
|
|
roleID=roleAID, notes=notes)
|
|
# XXX: are we missing some notes?
|
|
# XXX: does it parse things as "Episode dated 12 May 2005 (12 May 2005)"?
|
|
if minfo.startswith('('):
|
|
pe = minfo.find(')')
|
|
if pe != -1:
|
|
date = minfo[1:pe]
|
|
if date != '????':
|
|
e['original air date'] = date
|
|
if eps_data.get('year', '????') == '????':
|
|
syear = date.split()[-1]
|
|
if syear.isdigit():
|
|
e['year'] = int(syear)
|
|
return e
|
|
|
|
|
|
class DOMHTMLSeriesParser(DOMParserBase):
|
|
"""Parser for the "by TV series" page of a given person.
|
|
The page should be provided as a string, as taken from
|
|
the www.imdb.com server. The final result will be a
|
|
dictionary, with a key for every relevant section.
|
|
|
|
Example:
|
|
sparser = DOMHTMLSeriesParser()
|
|
result = sparser.parse(filmoseries_html_string)
|
|
"""
|
|
_containsObjects = True
|
|
|
|
extractors = [
|
|
Extractor(label='series',
|
|
group="//div[@class='filmo']/span[1]",
|
|
group_key="./a[1]",
|
|
path="./following-sibling::ol[1]/li/a[1]",
|
|
attrs=Attribute(key=None,
|
|
multi=True,
|
|
path={
|
|
'link': "./@href",
|
|
'title': "./text()",
|
|
'info': "./following-sibling::text()",
|
|
'role': "./following-sibling::i[1]/text()",
|
|
'roleA': "./following-sibling::a[1]/text()",
|
|
'roleAID': "./following-sibling::a[1]/@href"
|
|
},
|
|
postprocess=lambda x: _build_episode(x.get('link'),
|
|
x.get('title'),
|
|
(x.get('info') or u'').strip(),
|
|
x.get('role'),
|
|
x.get('roleA'),
|
|
x.get('roleAID'))))
|
|
]
|
|
|
|
def postprocess_data(self, data):
|
|
if len(data) == 0:
|
|
return {}
|
|
nd = {}
|
|
for key in data.keys():
|
|
dom = self.get_dom(key)
|
|
link = self.xpath(dom, "//a/@href")[0]
|
|
title = self.xpath(dom, "//a/text()")[0][1:-1]
|
|
series = Movie(movieID=analyze_imdbid(link),
|
|
data=analyze_title(title),
|
|
accessSystem=self._as, modFunct=self._modFunct)
|
|
nd[series] = []
|
|
for episode in data[key]:
|
|
# XXX: should we create a copy of 'series', to avoid
|
|
# circular references?
|
|
episode['episode of'] = series
|
|
nd[series].append(episode)
|
|
return {'episodes': nd}
|
|
|
|
|
|
class DOMHTMLPersonGenresParser(DOMParserBase):
|
|
"""Parser for the "by genre" and "by keywords" pages of a given person.
|
|
The page should be provided as a string, as taken from
|
|
the www.imdb.com server. The final result will be a
|
|
dictionary, with a key for every relevant section.
|
|
|
|
Example:
|
|
gparser = DOMHTMLPersonGenresParser()
|
|
result = gparser.parse(bygenre_html_string)
|
|
"""
|
|
kind = 'genres'
|
|
_containsObjects = True
|
|
|
|
extractors = [
|
|
Extractor(label='genres',
|
|
group="//b/a[@name]/following-sibling::a[1]",
|
|
group_key="./text()",
|
|
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),
|
|
'resume_parser': ((DOMHTMLResumeParser,), 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),
|
|
}
|
|
|