""" parser.http.personParser module (imdb package). This module provides the classes (and the instances), used to parse the IMDb pages on the akas.imdb.com server about a person. E.g., for "Mel Gibson" the referred pages would be: categorized: http://akas.imdb.com/name/nm0000154/maindetails biography: http://akas.imdb.com/name/nm0000154/bio ...and so on... Copyright 2004-2013 Davide Alberani 2008 H. Turgut Uyar This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA """ import re from imdb.Movie import Movie from imdb.utils import analyze_name, canonicalName, normalizeName, \ analyze_title, date_and_notes from utils import build_movie, DOMParserBase, Attribute, Extractor, \ analyze_imdbid from movieParser import _manageRoles _reRoles = re.compile(r'(
  • .*? \.\.\.\. )(.*?)(
    • |
    )', re.I | re.M | re.S) def build_date(date): day = date.get('day') year = date.get('year') if day and year: return "%s %s" % (day, year) if day: return day if year: return year return "" class DOMHTMLMaindetailsParser(DOMParserBase): """Parser for the "categorized" (maindetails) page of a given person. The page should be provided as a string, as taken from the akas.imdb.com server. The final result will be a dictionary, with a key for every relevant section. Example: cparser = DOMHTMLMaindetailsParser() result = cparser.parse(categorized_html_string) """ _containsObjects = True _name_imdb_index = re.compile(r'\([IVXLCDM]+\)') _birth_attrs = [Attribute(key='birth date', path='.//time[@itemprop="birthDate"]/@datetime'), Attribute(key='birth place', path=".//a[starts-with(@href, " \ "'/search/name?birth_place=')]/text()")] _death_attrs = [Attribute(key='death date', path='.//time[@itemprop="deathDate"]/@datetime'), Attribute(key='death place', path=".//a[starts-with(@href, " \ "'/search/name?death_place=')]/text()")] _film_attrs = [Attribute(key=None, multi=True, path={ 'link': "./b/a[1]/@href", 'title': "./b/a[1]/text()", 'notes': "./b/following-sibling::text()", 'year': "./span[@class='year_column']/text()", 'status': "./a[@class='in_production']/text()", 'rolesNoChar': './/br/following-sibling::text()', 'chrRoles': "./a[@imdbpyname]/@imdbpyname", 'roleID': "./a[starts-with(@href, '/character/')]/@href" }, postprocess=lambda x: build_movie(x.get('title') or u'', year=x.get('year'), movieID=analyze_imdbid(x.get('link') or u''), rolesNoChar=(x.get('rolesNoChar') or u'').strip(), chrRoles=(x.get('chrRoles') or u'').strip(), additionalNotes=x.get('notes'), roleID=(x.get('roleID') or u''), status=x.get('status') or None))] extractors = [ Extractor(label='name', path="//h1[@class='header']", attrs=Attribute(key='name', path=".//text()", postprocess=lambda x: analyze_name(x, canonical=1))), Extractor(label='name_index', path="//h1[@class='header']/span[1]", attrs=Attribute(key='name_index', path="./text()")), Extractor(label='birth info', path="//div[h4='Born:']", attrs=_birth_attrs), Extractor(label='death info', path="//div[h4='Died:']", attrs=_death_attrs), Extractor(label='headshot', path="//td[@id='img_primary']/div[@class='image']/a", attrs=Attribute(key='headshot', path="./img/@src")), Extractor(label='akas', path="//div[h4='Alternate Names:']", attrs=Attribute(key='akas', path="./text()", postprocess=lambda x: x.strip().split(' '))), Extractor(label='filmography', group="//div[starts-with(@id, 'filmo-head-')]", group_key="./a[@name]/text()", group_key_normalize=lambda x: x.lower().replace(': ', ' '), path="./following-sibling::div[1]" \ "/div[starts-with(@class, 'filmo-row')]", attrs=_film_attrs), Extractor(label='indevelopment', path="//div[starts-with(@class,'devitem')]", attrs=Attribute(key='in development', multi=True, path={ 'link': './a/@href', 'title': './a/text()' }, postprocess=lambda x: build_movie(x.get('title') or u'', movieID=analyze_imdbid(x.get('link') or u''), roleID=(x.get('roleID') or u'').split('/'), status=x.get('status') or None))) ] preprocessors = [('
    ', ''), ('
    ', '
    '), (re.compile(r'((.*?)'), r'\1 imdbpyname="\2@@">\2')] def postprocess_data(self, data): for what in 'birth date', 'death date': if what in data and not data[what]: del data[what] name_index = (data.get('name_index') or '').strip() if name_index: if self._name_imdb_index.match(name_index): data['imdbIndex'] = name_index[1:-1] del data['name_index'] # XXX: the code below is for backwards compatibility # probably could be removed for key in data.keys(): if key.startswith('actor '): if not data.has_key('actor'): data['actor'] = [] data['actor'].extend(data[key]) del data[key] if key.startswith('actress '): if not data.has_key('actress'): data['actress'] = [] data['actress'].extend(data[key]) del data[key] if key.startswith('self '): if not data.has_key('self'): data['self'] = [] data['self'].extend(data[key]) del data[key] if key == 'birth place': data['birth notes'] = data[key] del data[key] if key == 'death place': data['death notes'] = data[key] del data[key] return data class DOMHTMLBioParser(DOMParserBase): """Parser for the "biography" page of a given person. The page should be provided as a string, as taken from the akas.imdb.com server. The final result will be a dictionary, with a key for every relevant section. Example: bioparser = DOMHTMLBioParser() result = bioparser.parse(biography_html_string) """ _defGetRefs = True _birth_attrs = [Attribute(key='birth date', path={ 'day': "./a[starts-with(@href, " \ "'/date/')]/text()", 'year': "./a[starts-with(@href, " \ "'/search/name?birth_year=')]/text()" }, postprocess=build_date), Attribute(key='birth notes', path="./a[starts-with(@href, " \ "'/search/name?birth_place=')]/text()")] _death_attrs = [Attribute(key='death date', path={ 'day': "./a[starts-with(@href, " \ "'/date/')]/text()", 'year': "./a[starts-with(@href, " \ "'/search/name?death_date=')]/text()" }, postprocess=build_date), Attribute(key='death notes', path="./text()", # TODO: check if this slicing is always correct postprocess=lambda x: u''.join(x).strip()[2:])] extractors = [ Extractor(label='headshot', path="//a[@name='headshot']", attrs=Attribute(key='headshot', path="./img/@src")), Extractor(label='birth info', path="//table[@id='overviewTable']//td[text()='Date of Birth']/following-sibling::td[1]", attrs=_birth_attrs), Extractor(label='death info', path="//table[@id='overviewTable']//td[text()='Date of Death']/following-sibling::td[1]", attrs=_death_attrs), Extractor(label='nick names', path="//table[@id='overviewTable']//td[text()='Nickenames']/following-sibling::td[1]", attrs=Attribute(key='nick names', path="./text()", joiner='|', postprocess=lambda x: [n.strip().replace(' (', '::(', 1) for n in x.split('|') if n.strip()])), Extractor(label='birth name', path="//table[@id='overviewTable']//td[text()='Birth Name']/following-sibling::td[1]", attrs=Attribute(key='birth name', path="./text()", postprocess=lambda x: canonicalName(x.strip()))), Extractor(label='height', path="//table[@id='overviewTable']//td[text()='Height']/following-sibling::td[1]", attrs=Attribute(key='height', path="./text()", postprocess=lambda x: x.strip())), Extractor(label='mini biography', path="//a[@name='mini_bio']/following-sibling::div[1 = count(preceding-sibling::a[1] | ../a[@name='mini_bio'])]", attrs=Attribute(key='mini biography', multi=True, path={ 'bio': ".//text()", 'by': ".//a[@name='ba']//text()" }, postprocess=lambda x: "%s::%s" % \ ((x.get('bio') or u'').split('- IMDb Mini Biography By:')[0].strip(), (x.get('by') or u'').strip() or u'Anonymous'))), Extractor(label='spouse', path="//div[h5='Spouse']/table/tr", attrs=Attribute(key='spouse', multi=True, path={ 'name': "./td[1]//text()", 'info': "./td[2]//text()" }, postprocess=lambda x: ("%s::%s" % \ (x.get('name').strip(), (x.get('info') or u'').strip())).strip(':'))), Extractor(label='trade mark', path="//div[h5='Trade Mark']/p", attrs=Attribute(key='trade mark', multi=True, path=".//text()", postprocess=lambda x: x.strip())), Extractor(label='trivia', path="//div[h5='Trivia']/p", attrs=Attribute(key='trivia', multi=True, path=".//text()", postprocess=lambda x: x.strip())), Extractor(label='quotes', path="//div[h5='Personal Quotes']/p", attrs=Attribute(key='quotes', multi=True, path=".//text()", postprocess=lambda x: x.strip())), Extractor(label='salary', path="//div[h5='Salary']/table/tr", attrs=Attribute(key='salary history', multi=True, path={ 'title': "./td[1]//text()", 'info': "./td[2]/text()", }, postprocess=lambda x: "%s::%s" % \ (x.get('title').strip(), x.get('info').strip()))), Extractor(label='where now', path="//div[h5='Where Are They Now']/p", attrs=Attribute(key='where now', multi=True, path=".//text()", postprocess=lambda x: x.strip())), ] preprocessors = [ (re.compile('(
    )', re.I), r'
    \1'), (re.compile('(\n
    \s+)', re.I + re.DOTALL), r'\1'), (re.compile('(
    )'), r'
    \1'), (re.compile('\.

    ([^\s])', re.I), r'. \1') ] def postprocess_data(self, data): for what in 'birth date', 'death date': if what in data and not data[what]: del data[what] return data class DOMHTMLOtherWorksParser(DOMParserBase): """Parser for the "other works" and "agent" pages of a given person. The page should be provided as a string, as taken from the akas.imdb.com server. The final result will be a dictionary, with a key for every relevant section. 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('(
    [^<]+
    )', re.I), r'\1
    '), (re.compile('(\n
    \s+)', re.I), r'\1'), (re.compile('(
    )'), r'
    \1'), (re.compile('

    ', 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 akas.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 akas.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), '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), }