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SickRage/lib/imdb/parser/http/movieParser.py

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Welcome to our SickBeard-TVRage Edition ... 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!
2014-03-10 01:18:05 -04:00
"""
parser.http.movieParser 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 movie.
E.g., for Brian De Palma's "The Untouchables", the referred
pages would be:
combined details: http://akas.imdb.com/title/tt0094226/combined
plot summary: http://akas.imdb.com/title/tt0094226/plotsummary
...and so on...
Copyright 2004-2012 Davide Alberani <da@erlug.linux.it>
2008 H. Turgut Uyar <uyar@tekir.org>
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
import urllib
from imdb import imdbURL_base
from imdb.Person import Person
from imdb.Movie import Movie
from imdb.Company import Company
from imdb.utils import analyze_title, split_company_name_notes, _Container
from utils import build_person, DOMParserBase, Attribute, Extractor, \
analyze_imdbid
# Dictionary used to convert some section's names.
_SECT_CONV = {
'directed': 'director',
'directed by': 'director',
'directors': 'director',
'editors': 'editor',
'writing credits': 'writer',
'writers': 'writer',
'produced': 'producer',
'cinematography': 'cinematographer',
'film editing': 'editor',
'casting': 'casting director',
'costume design': 'costume designer',
'makeup department': 'make up',
'production management': 'production manager',
'second unit director or assistant director': 'assistant director',
'costume and wardrobe department': 'costume department',
'sound department': 'sound crew',
'stunts': 'stunt performer',
'other crew': 'miscellaneous crew',
'also known as': 'akas',
'country': 'countries',
'runtime': 'runtimes',
'language': 'languages',
'certification': 'certificates',
'genre': 'genres',
'created': 'creator',
'creators': 'creator',
'color': 'color info',
'plot': 'plot outline',
'seasons': 'number of seasons',
'art directors': 'art direction',
'assistant directors': 'assistant director',
'set decorators': 'set decoration',
'visual effects department': 'visual effects',
'production managers': 'production manager',
'miscellaneous': 'miscellaneous crew',
'make up department': 'make up',
'plot summary': 'plot outline',
'cinematographers': 'cinematographer',
'camera department': 'camera and electrical department',
'costume designers': 'costume designer',
'production designers': 'production design',
'production managers': 'production manager',
'music original': 'original music',
'casting directors': 'casting director',
'other companies': 'miscellaneous companies',
'producers': 'producer',
'special effects by': 'special effects department',
'special effects': 'special effects companies'
}
def _manageRoles(mo):
"""Perform some transformation on the html, so that roleIDs can
be easily retrieved."""
firstHalf = mo.group(1)
secondHalf = mo.group(2)
newRoles = []
roles = secondHalf.split(' / ')
for role in roles:
role = role.strip()
if not role:
continue
roleID = analyze_imdbid(role)
if roleID is None:
roleID = u'/'
else:
roleID += u'/'
newRoles.append(u'<div class="_imdbpyrole" roleid="%s">%s</div>' % \
(roleID, role.strip()))
return firstHalf + u' / '.join(newRoles) + mo.group(3)
_reRolesMovie = re.compile(r'(<td class="char">)(.*?)(</td>)',
re.I | re.M | re.S)
def _replaceBR(mo):
"""Replaces <br> tags with '::' (useful for some akas)"""
txt = mo.group(0)
return txt.replace('<br>', '::')
_reAkas = re.compile(r'<h5>also known as:</h5>.*?</div>', re.I | re.M | re.S)
def makeSplitter(lstrip=None, sep='|', comments=True,
origNotesSep=' (', newNotesSep='::(', strip=None):
"""Return a splitter function suitable for a given set of data."""
def splitter(x):
if not x: return x
x = x.strip()
if not x: return x
if lstrip is not None:
x = x.lstrip(lstrip).lstrip()
lx = x.split(sep)
lx[:] = filter(None, [j.strip() for j in lx])
if comments:
lx[:] = [j.replace(origNotesSep, newNotesSep, 1) for j in lx]
if strip:
lx[:] = [j.strip(strip) for j in lx]
return lx
return splitter
def _toInt(val, replace=()):
"""Return the value, converted to integer, or None; if present, 'replace'
must be a list of tuples of values to replace."""
for before, after in replace:
val = val.replace(before, after)
try:
return int(val)
except (TypeError, ValueError):
return None
class DOMHTMLMovieParser(DOMParserBase):
"""Parser for the "combined details" (and if instance.mdparse is
True also for the "main details") page of a given movie.
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:
mparser = DOMHTMLMovieParser()
result = mparser.parse(combined_details_html_string)
"""
_containsObjects = True
extractors = [Extractor(label='title',
path="//h1",
attrs=Attribute(key='title',
path=".//text()",
postprocess=analyze_title)),
Extractor(label='glossarysections',
group="//a[@class='glossary']",
group_key="./@name",
group_key_normalize=lambda x: x.replace('_', ' '),
path="../../../..//tr",
attrs=Attribute(key=None,
multi=True,
path={'person': ".//text()",
'link': "./td[1]/a[@href]/@href"},
postprocess=lambda x: \
build_person(x.get('person') or u'',
personID=analyze_imdbid(x.get('link')))
)),
Extractor(label='cast',
path="//table[@class='cast']//tr",
attrs=Attribute(key="cast",
multi=True,
path={'person': ".//text()",
'link': "td[2]/a/@href",
'roleID': \
"td[4]/div[@class='_imdbpyrole']/@roleid"},
postprocess=lambda x: \
build_person(x.get('person') or u'',
personID=analyze_imdbid(x.get('link')),
roleID=(x.get('roleID') or u'').split('/'))
)),
Extractor(label='genres',
path="//div[@class='info']//a[starts-with(@href," \
" '/Sections/Genres')]",
attrs=Attribute(key="genres",
multi=True,
path="./text()")),
Extractor(label='h5sections',
path="//div[@class='info']/h5/..",
attrs=[
Attribute(key="plot summary",
path="./h5[starts-with(text(), " \
"'Plot:')]/../div/text()",
postprocess=lambda x: \
x.strip().rstrip('|').rstrip()),
Attribute(key="aspect ratio",
path="./h5[starts-with(text()," \
" 'Aspect')]/../div/text()",
postprocess=lambda x: x.strip()),
Attribute(key="mpaa",
path="./h5/a[starts-with(text()," \
" 'MPAA')]/../../div/text()",
postprocess=lambda x: x.strip()),
Attribute(key="countries",
path="./h5[starts-with(text(), " \
"'Countr')]/../div[@class='info-content']//text()",
postprocess=makeSplitter('|')),
Attribute(key="language",
path="./h5[starts-with(text(), " \
"'Language')]/..//text()",
postprocess=makeSplitter('Language:')),
Attribute(key='color info',
path="./h5[starts-with(text(), " \
"'Color')]/..//text()",
postprocess=makeSplitter('Color:')),
Attribute(key='sound mix',
path="./h5[starts-with(text(), " \
"'Sound Mix')]/..//text()",
postprocess=makeSplitter('Sound Mix:')),
# Collects akas not encosed in <i> tags.
Attribute(key='other akas',
path="./h5[starts-with(text(), " \
"'Also Known As')]/../div//text()",
postprocess=makeSplitter(sep='::',
origNotesSep='" - ',
newNotesSep='::',
strip='"')),
Attribute(key='runtimes',
path="./h5[starts-with(text(), " \
"'Runtime')]/../div/text()",
postprocess=makeSplitter()),
Attribute(key='certificates',
path="./h5[starts-with(text(), " \
"'Certificat')]/..//text()",
postprocess=makeSplitter('Certification:')),
Attribute(key='number of seasons',
path="./h5[starts-with(text(), " \
"'Seasons')]/..//text()",
postprocess=lambda x: x.count('|') + 1),
Attribute(key='original air date',
path="./h5[starts-with(text(), " \
"'Original Air Date')]/../div/text()"),
Attribute(key='tv series link',
path="./h5[starts-with(text(), " \
"'TV Series')]/..//a/@href"),
Attribute(key='tv series title',
path="./h5[starts-with(text(), " \
"'TV Series')]/..//a/text()")
]),
Extractor(label='language codes',
path="//h5[starts-with(text(), 'Language')]/..//a[starts-with(@href, '/language/')]",
attrs=Attribute(key='language codes', multi=True,
path="./@href",
postprocess=lambda x: x.split('/')[2].strip()
)),
Extractor(label='country codes',
path="//h5[starts-with(text(), 'Country')]/..//a[starts-with(@href, '/country/')]",
attrs=Attribute(key='country codes', multi=True,
path="./@href",
postprocess=lambda x: x.split('/')[2].strip()
)),
Extractor(label='creator',
path="//h5[starts-with(text(), 'Creator')]/..//a",
attrs=Attribute(key='creator', multi=True,
path={'name': "./text()",
'link': "./@href"},
postprocess=lambda x: \
build_person(x.get('name') or u'',
personID=analyze_imdbid(x.get('link')))
)),
Extractor(label='thin writer',
path="//h5[starts-with(text(), 'Writer')]/..//a",
attrs=Attribute(key='thin writer', multi=True,
path={'name': "./text()",
'link': "./@href"},
postprocess=lambda x: \
build_person(x.get('name') or u'',
personID=analyze_imdbid(x.get('link')))
)),
Extractor(label='thin director',
path="//h5[starts-with(text(), 'Director')]/..//a",
attrs=Attribute(key='thin director', multi=True,
path={'name': "./text()",
'link': "@href"},
postprocess=lambda x: \
build_person(x.get('name') or u'',
personID=analyze_imdbid(x.get('link')))
)),
Extractor(label='top 250/bottom 100',
path="//div[@class='starbar-special']/" \
"a[starts-with(@href, '/chart/')]",
attrs=Attribute(key='top/bottom rank',
path="./text()")),
Extractor(label='series years',
path="//div[@id='tn15title']//span" \
"[starts-with(text(), 'TV series')]",
attrs=Attribute(key='series years',
path="./text()",
postprocess=lambda x: \
x.replace('TV series','').strip())),
Extractor(label='number of episodes',
path="//a[@title='Full Episode List']",
attrs=Attribute(key='number of episodes',
path="./text()",
postprocess=lambda x: \
_toInt(x, [(' Episodes', '')]))),
Extractor(label='akas',
path="//i[@class='transl']",
attrs=Attribute(key='akas', multi=True, path='text()',
postprocess=lambda x:
x.replace(' ', ' ').rstrip('-').replace('" - ',
'"::', 1).strip('"').replace(' ', ' '))),
Extractor(label='production notes/status',
path="//h5[starts-with(text(), 'Status:')]/..//div[@class='info-content']",
attrs=Attribute(key='production status',
path=".//text()",
postprocess=lambda x: x.strip().split('|')[0].strip().lower())),
Extractor(label='production notes/status updated',
path="//h5[starts-with(text(), 'Status Updated:')]/..//div[@class='info-content']",
attrs=Attribute(key='production status updated',
path=".//text()",
postprocess=lambda x: x.strip())),
Extractor(label='production notes/comments',
path="//h5[starts-with(text(), 'Comments:')]/..//div[@class='info-content']",
attrs=Attribute(key='production comments',
path=".//text()",
postprocess=lambda x: x.strip())),
Extractor(label='production notes/note',
path="//h5[starts-with(text(), 'Note:')]/..//div[@class='info-content']",
attrs=Attribute(key='production note',
path=".//text()",
postprocess=lambda x: x.strip())),
Extractor(label='blackcatheader',
group="//b[@class='blackcatheader']",
group_key="./text()",
group_key_normalize=lambda x: x.lower(),
path="../ul/li",
attrs=Attribute(key=None,
multi=True,
path={'name': "./a//text()",
'comp-link': "./a/@href",
'notes': "./text()"},
postprocess=lambda x: \
Company(name=x.get('name') or u'',
companyID=analyze_imdbid(x.get('comp-link')),
notes=(x.get('notes') or u'').strip())
)),
Extractor(label='rating',
path="//div[@class='starbar-meta']/b",
attrs=Attribute(key='rating',
path=".//text()")),
Extractor(label='votes',
path="//div[@class='starbar-meta']/a[@href]",
attrs=Attribute(key='votes',
path=".//text()")),
Extractor(label='cover url',
path="//a[@name='poster']",
attrs=Attribute(key='cover url',
path="./img/@src"))
]
preprocessors = [
(re.compile(r'(<b class="blackcatheader">.+?</b>)', re.I),
r'</div><div>\1'),
('<small>Full cast and crew for<br>', ''),
('<td> </td>', '<td>...</td>'),
('<span class="tv-extra">TV mini-series</span>',
'<span class="tv-extra">(mini)</span>'),
(_reRolesMovie, _manageRoles),
(_reAkas, _replaceBR)]
def preprocess_dom(self, dom):
# Handle series information.
xpath = self.xpath(dom, "//b[text()='Series Crew']")
if xpath:
b = xpath[-1] # In doubt, take the last one.
for a in self.xpath(b, "./following::h5/a[@class='glossary']"):
name = a.get('name')
if name:
a.set('name', 'series %s' % name)
# Remove links to IMDbPro.
for proLink in self.xpath(dom, "//span[@class='pro-link']"):
proLink.drop_tree()
# Remove some 'more' links (keep others, like the one around
# the number of votes).
for tn15more in self.xpath(dom,
"//a[@class='tn15more'][starts-with(@href, '/title/')]"):
tn15more.drop_tree()
return dom
re_space = re.compile(r'\s+')
re_airdate = re.compile(r'(.*)\s*\(season (\d+), episode (\d+)\)', re.I)
def postprocess_data(self, data):
# Convert section names.
for sect in data.keys():
if sect in _SECT_CONV:
data[_SECT_CONV[sect]] = data[sect]
del data[sect]
sect = _SECT_CONV[sect]
# Filter out fake values.
for key in data:
value = data[key]
if isinstance(value, list) and value:
if isinstance(value[0], Person):
data[key] = filter(lambda x: x.personID is not None, value)
if isinstance(value[0], _Container):
for obj in data[key]:
obj.accessSystem = self._as
obj.modFunct = self._modFunct
if 'akas' in data or 'other akas' in data:
akas = data.get('akas') or []
other_akas = data.get('other akas') or []
akas += other_akas
nakas = []
for aka in akas:
aka = aka.strip()
if aka.endswith('" -'):
aka = aka[:-3].rstrip()
nakas.append(aka)
if 'akas' in data:
del data['akas']
if 'other akas' in data:
del data['other akas']
if nakas:
data['akas'] = nakas
if 'runtimes' in data:
data['runtimes'] = [x.replace(' min', u'')
for x in data['runtimes']]
if 'original air date' in data:
oid = self.re_space.sub(' ', data['original air date']).strip()
data['original air date'] = oid
aid = self.re_airdate.findall(oid)
if aid and len(aid[0]) == 3:
date, season, episode = aid[0]
date = date.strip()
try: season = int(season)
except: pass
try: episode = int(episode)
except: pass
if date and date != '????':
data['original air date'] = date
else:
del data['original air date']
# Handle also "episode 0".
if season or type(season) is type(0):
data['season'] = season
if episode or type(season) is type(0):
data['episode'] = episode
for k in ('writer', 'director'):
t_k = 'thin %s' % k
if t_k not in data:
continue
if k not in data:
data[k] = data[t_k]
del data[t_k]
if 'top/bottom rank' in data:
tbVal = data['top/bottom rank'].lower()
if tbVal.startswith('top'):
tbKey = 'top 250 rank'
tbVal = _toInt(tbVal, [('top 250: #', '')])
else:
tbKey = 'bottom 100 rank'
tbVal = _toInt(tbVal, [('bottom 100: #', '')])
if tbVal:
data[tbKey] = tbVal
del data['top/bottom rank']
if 'year' in data and data['year'] == '????':
del data['year']
if 'tv series link' in data:
if 'tv series title' in data:
data['episode of'] = Movie(title=data['tv series title'],
movieID=analyze_imdbid(
data['tv series link']),
accessSystem=self._as,
modFunct=self._modFunct)
del data['tv series title']
del data['tv series link']
if 'rating' in data:
try:
data['rating'] = float(data['rating'].replace('/10', ''))
except (TypeError, ValueError):
pass
if 'votes' in data:
try:
votes = data['votes'].replace(',', '').replace('votes', '')
data['votes'] = int(votes)
except (TypeError, ValueError):
pass
return data
def _process_plotsummary(x):
"""Process a plot (contributed by Rdian06)."""
xauthor = x.get('author')
if xauthor:
xauthor = xauthor.replace('{', '<').replace('}', '>').replace('(',
'<').replace(')', '>').strip()
xplot = x.get('plot', u'').strip()
if xauthor:
xplot += u'::%s' % xauthor
return xplot
class DOMHTMLPlotParser(DOMParserBase):
"""Parser for the "plot summary" page of a given movie.
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 'plot' key, containing a list
of string with the structure: 'summary::summary_author <author@email>'.
Example:
pparser = HTMLPlotParser()
result = pparser.parse(plot_summary_html_string)
"""
_defGetRefs = True
# Notice that recently IMDb started to put the email of the
# author only in the link, that we're not collecting, here.
extractors = [Extractor(label='plot',
path="//p[@class='plotpar']",
attrs=Attribute(key='plot',
multi=True,
path={'plot': './text()',
'author': './i/a/text()'},
postprocess=_process_plotsummary))]
def _process_award(x):
award = {}
award['award'] = x.get('award').strip()
if not award['award']:
return {}
award['year'] = x.get('year').strip()
if award['year'] and award['year'].isdigit():
award['year'] = int(award['year'])
award['result'] = x.get('result').strip()
category = x.get('category').strip()
if category:
award['category'] = category
received_with = x.get('with')
if received_with is not None:
award['with'] = received_with.strip()
notes = x.get('notes')
if notes is not None:
notes = notes.strip()
if notes:
award['notes'] = notes
award['anchor'] = x.get('anchor')
return award
class DOMHTMLAwardsParser(DOMParserBase):
"""Parser for the "awards" page of a given person or movie.
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:
awparser = HTMLAwardsParser()
result = awparser.parse(awards_html_string)
"""
subject = 'title'
_containsObjects = True
extractors = [
Extractor(label='awards',
group="//table//big",
group_key="./a",
path="./ancestor::tr[1]/following-sibling::tr/" \
"td[last()][not(@colspan)]",
attrs=Attribute(key=None,
multi=True,
path={
'year': "../td[1]/a/text()",
'result': "../td[2]/b/text()",
'award': "../td[3]/text()",
'category': "./text()[1]",
# FIXME: takes only the first co-recipient
'with': "./small[starts-with(text()," \
" 'Shared with:')]/following-sibling::a[1]/text()",
'notes': "./small[last()]//text()",
'anchor': ".//text()"
},
postprocess=_process_award
)),
Extractor(label='recipients',
group="//table//big",
group_key="./a",
path="./ancestor::tr[1]/following-sibling::tr/" \
"td[last()]/small[1]/preceding-sibling::a",
attrs=Attribute(key=None,
multi=True,
path={
'name': "./text()",
'link': "./@href",
'anchor': "..//text()"
}
))
]
preprocessors = [
(re.compile('(<tr><td[^>]*>.*?</td></tr>\n\n</table>)', re.I),
r'\1</table>'),
(re.compile('(<tr><td[^>]*>\n\n<big>.*?</big></td></tr>)', re.I),
r'</table><table class="_imdbpy">\1'),
(re.compile('(<table[^>]*>\n\n)</table>(<table)', re.I), r'\1\2'),
(re.compile('(<small>.*?)<br>(.*?</small)', re.I), r'\1 \2'),
(re.compile('(</tr>\n\n)(<td)', re.I), r'\1<tr>\2')
]
def preprocess_dom(self, dom):
"""Repeat td elements according to their rowspan attributes
in subsequent tr elements.
"""
cols = self.xpath(dom, "//td[@rowspan]")
for col in cols:
span = int(col.get('rowspan'))
del col.attrib['rowspan']
position = len(self.xpath(col, "./preceding-sibling::td"))
row = col.getparent()
for tr in self.xpath(row, "./following-sibling::tr")[:span-1]:
# if not cloned, child will be moved to new parent
clone = self.clone(col)
# XXX: beware that here we don't use an "adapted" function,
# because both BeautifulSoup and lxml uses the same
# "insert" method.
tr.insert(position, clone)
return dom
def postprocess_data(self, data):
if len(data) == 0:
return {}
nd = []
for key in data.keys():
dom = self.get_dom(key)
assigner = self.xpath(dom, "//a/text()")[0]
for entry in data[key]:
if not entry.has_key('name'):
if not entry:
continue
# this is an award, not a recipient
entry['assigner'] = assigner.strip()
# find the recipients
matches = [p for p in data[key]
if p.has_key('name') and (entry['anchor'] ==
p['anchor'])]
if self.subject == 'title':
recipients = [Person(name=recipient['name'],
personID=analyze_imdbid(recipient['link']))
for recipient in matches]
entry['to'] = recipients
elif self.subject == 'name':
recipients = [Movie(title=recipient['name'],
movieID=analyze_imdbid(recipient['link']))
for recipient in matches]
entry['for'] = recipients
nd.append(entry)
del entry['anchor']
return {'awards': nd}
class DOMHTMLTaglinesParser(DOMParserBase):
"""Parser for the "taglines" page of a given movie.
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:
tparser = DOMHTMLTaglinesParser()
result = tparser.parse(taglines_html_string)
"""
extractors = [Extractor(label='taglines',
path="//div[@id='tn15content']/p",
attrs=Attribute(key='taglines', multi=True,
path="./text()"))]
class DOMHTMLKeywordsParser(DOMParserBase):
"""Parser for the "keywords" page of a given movie.
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:
kwparser = DOMHTMLKeywordsParser()
result = kwparser.parse(keywords_html_string)
"""
extractors = [Extractor(label='keywords',
path="//a[starts-with(@href, '/keyword/')]",
attrs=Attribute(key='keywords',
path="./text()", multi=True,
postprocess=lambda x: \
x.lower().replace(' ', '-')))]
class DOMHTMLAlternateVersionsParser(DOMParserBase):
"""Parser for the "alternate versions" page of a given movie.
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:
avparser = HTMLAlternateVersionsParser()
result = avparser.parse(alternateversions_html_string)
"""
_defGetRefs = True
extractors = [Extractor(label='alternate versions',
path="//ul[@class='trivia']/li",
attrs=Attribute(key='alternate versions',
multi=True,
path=".//text()",
postprocess=lambda x: x.strip()))]
class DOMHTMLTriviaParser(DOMParserBase):
"""Parser for the "trivia" page of a given movie.
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:
avparser = HTMLAlternateVersionsParser()
result = avparser.parse(alternateversions_html_string)
"""
_defGetRefs = True
extractors = [Extractor(label='alternate versions',
path="//div[@class='sodatext']",
attrs=Attribute(key='trivia',
multi=True,
path=".//text()",
postprocess=lambda x: x.strip()))]
def preprocess_dom(self, dom):
# Remove "link this quote" links.
for qLink in self.xpath(dom, "//span[@class='linksoda']"):
qLink.drop_tree()
return dom
class DOMHTMLSoundtrackParser(DOMHTMLAlternateVersionsParser):
kind = 'soundtrack'
preprocessors = [
('<br>', '\n')
]
def postprocess_data(self, data):
if 'soundtrack' in data:
nd = []
for x in data['soundtrack']:
ds = x.split('\n')
title = ds[0]
if title[0] == '"' and title[-1] == '"':
title = title[1:-1]
nds = []
newData = {}
for l in ds[1:]:
if ' with ' in l or ' by ' in l or ' from ' in l \
or ' of ' in l or l.startswith('From '):
nds.append(l)
else:
if nds:
nds[-1] += l
else:
nds.append(l)
newData[title] = {}
for l in nds:
skip = False
for sep in ('From ',):
if l.startswith(sep):
fdix = len(sep)
kind = l[:fdix].rstrip().lower()
info = l[fdix:].lstrip()
newData[title][kind] = info
skip = True
if not skip:
for sep in ' with ', ' by ', ' from ', ' of ':
fdix = l.find(sep)
if fdix != -1:
fdix = fdix+len(sep)
kind = l[:fdix].rstrip().lower()
info = l[fdix:].lstrip()
newData[title][kind] = info
break
nd.append(newData)
data['soundtrack'] = nd
return data
class DOMHTMLCrazyCreditsParser(DOMParserBase):
"""Parser for the "crazy credits" page of a given movie.
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:
ccparser = DOMHTMLCrazyCreditsParser()
result = ccparser.parse(crazycredits_html_string)
"""
_defGetRefs = True
extractors = [Extractor(label='crazy credits', path="//ul/li/tt",
attrs=Attribute(key='crazy credits', multi=True,
path=".//text()",
postprocess=lambda x: \
x.replace('\n', ' ').replace(' ', ' ')))]
class DOMHTMLGoofsParser(DOMParserBase):
"""Parser for the "goofs" page of a given movie.
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 = DOMHTMLGoofsParser()
result = gparser.parse(goofs_html_string)
"""
_defGetRefs = True
extractors = [Extractor(label='goofs', path="//ul[@class='trivia']/li",
attrs=Attribute(key='goofs', multi=True, path=".//text()",
postprocess=lambda x: (x or u'').strip()))]
class DOMHTMLQuotesParser(DOMParserBase):
"""Parser for the "memorable quotes" page of a given movie.
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:
qparser = DOMHTMLQuotesParser()
result = qparser.parse(quotes_html_string)
"""
_defGetRefs = True
extractors = [
Extractor(label='quotes',
path="//div[@class='_imdbpy']",
attrs=Attribute(key='quotes',
multi=True,
path=".//text()",
postprocess=lambda x: x.strip().replace(' \n',
'::').replace('::\n', '::').replace('\n', ' ')))
]
preprocessors = [
(re.compile('(<a name="?qt[0-9]{7}"?></a>)', re.I),
r'\1<div class="_imdbpy">'),
(re.compile('<hr width="30%">', re.I), '</div>'),
(re.compile('<hr/>', re.I), '</div>'),
(re.compile('<script.*?</script>', re.I|re.S), ''),
# For BeautifulSoup.
(re.compile('<!-- sid: t-channel : MIDDLE_CENTER -->', re.I), '</div>')
]
def preprocess_dom(self, dom):
# Remove "link this quote" links.
for qLink in self.xpath(dom, "//p[@class='linksoda']"):
qLink.drop_tree()
return dom
def postprocess_data(self, data):
if 'quotes' not in data:
return {}
for idx, quote in enumerate(data['quotes']):
data['quotes'][idx] = quote.split('::')
return data
class DOMHTMLReleaseinfoParser(DOMParserBase):
"""Parser for the "release dates" page of a given movie.
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:
rdparser = DOMHTMLReleaseinfoParser()
result = rdparser.parse(releaseinfo_html_string)
"""
extractors = [Extractor(label='release dates',
path="//th[@class='xxxx']/../../tr",
attrs=Attribute(key='release dates', multi=True,
path={'country': ".//td[1]//text()",
'date': ".//td[2]//text()",
'notes': ".//td[3]//text()"})),
Extractor(label='akas',
path="//div[@class='_imdbpy_akas']/table/tr",
attrs=Attribute(key='akas', multi=True,
path={'title': "./td[1]/text()",
'countries': "./td[2]/text()"}))]
preprocessors = [
(re.compile('(<h5><a name="?akas"?.*</table>)', re.I | re.M | re.S),
r'<div class="_imdbpy_akas">\1</div>')]
def postprocess_data(self, data):
if not ('release dates' in data or 'akas' in data): return data
releases = data.get('release dates') or []
rl = []
for i in releases:
country = i.get('country')
date = i.get('date')
if not (country and date): continue
country = country.strip()
date = date.strip()
if not (country and date): continue
notes = i['notes']
info = u'%s::%s' % (country, date)
if notes:
info += notes
rl.append(info)
if releases:
del data['release dates']
if rl:
data['release dates'] = rl
akas = data.get('akas') or []
nakas = []
for aka in akas:
title = (aka.get('title') or '').strip()
if not title:
continue
countries = (aka.get('countries') or '').split('/')
if not countries:
nakas.append(title)
else:
for country in countries:
nakas.append('%s::%s' % (title, country.strip()))
if akas:
del data['akas']
if nakas:
data['akas from release info'] = nakas
return data
class DOMHTMLRatingsParser(DOMParserBase):
"""Parser for the "user ratings" page of a given movie.
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:
rparser = DOMHTMLRatingsParser()
result = rparser.parse(userratings_html_string)
"""
re_means = re.compile('mean\s*=\s*([0-9]\.[0-9])\.\s*median\s*=\s*([0-9])',
re.I)
extractors = [
Extractor(label='number of votes',
path="//td[b='Percentage']/../../tr",
attrs=[Attribute(key='votes',
multi=True,
path={
'votes': "td[1]//text()",
'ordinal': "td[3]//text()"
})]),
Extractor(label='mean and median',
path="//p[starts-with(text(), 'Arithmetic mean')]",
attrs=Attribute(key='mean and median',
path="text()")),
Extractor(label='rating',
path="//a[starts-with(@href, '/search/title?user_rating=')]",
attrs=Attribute(key='rating',
path="text()")),
Extractor(label='demographic voters',
path="//td[b='Average']/../../tr",
attrs=Attribute(key='demographic voters',
multi=True,
path={
'voters': "td[1]//text()",
'votes': "td[2]//text()",
'average': "td[3]//text()"
})),
Extractor(label='top 250',
path="//a[text()='top 250']",
attrs=Attribute(key='top 250',
path="./preceding-sibling::text()[1]"))
]
def postprocess_data(self, data):
nd = {}
votes = data.get('votes', [])
if votes:
nd['number of votes'] = {}
for i in xrange(1, 11):
_ordinal = int(votes[i]['ordinal'])
_strvts = votes[i]['votes'] or '0'
nd['number of votes'][_ordinal] = \
int(_strvts.replace(',', ''))
mean = data.get('mean and median', '')
if mean:
means = self.re_means.findall(mean)
if means and len(means[0]) == 2:
am, med = means[0]
try: am = float(am)
except (ValueError, OverflowError): pass
if type(am) is type(1.0):
nd['arithmetic mean'] = am
try: med = int(med)
except (ValueError, OverflowError): pass
if type(med) is type(0):
nd['median'] = med
if 'rating' in data:
nd['rating'] = float(data['rating'])
dem_voters = data.get('demographic voters')
if dem_voters:
nd['demographic'] = {}
for i in xrange(1, len(dem_voters)):
if (dem_voters[i]['votes'] is not None) \
and (dem_voters[i]['votes'].strip()):
nd['demographic'][dem_voters[i]['voters'].strip().lower()] \
= (int(dem_voters[i]['votes'].replace(',', '')),
float(dem_voters[i]['average']))
if 'imdb users' in nd.get('demographic', {}):
nd['votes'] = nd['demographic']['imdb users'][0]
nd['demographic']['all votes'] = nd['demographic']['imdb users']
del nd['demographic']['imdb users']
top250 = data.get('top 250')
if top250:
sd = top250[9:]
i = sd.find(' ')
if i != -1:
sd = sd[:i]
try: sd = int(sd)
except (ValueError, OverflowError): pass
if type(sd) is type(0):
nd['top 250 rank'] = sd
return nd
class DOMHTMLEpisodesRatings(DOMParserBase):
"""Parser for the "episode ratings ... by date" page of a given movie.
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:
erparser = DOMHTMLEpisodesRatings()
result = erparser.parse(eprating_html_string)
"""
_containsObjects = True
extractors = [Extractor(label='title', path="//title",
attrs=Attribute(key='title', path="./text()")),
Extractor(label='ep ratings',
path="//th/../..//tr",
attrs=Attribute(key='episodes', multi=True,
path={'nr': ".//td[1]/text()",
'ep title': ".//td[2]//text()",
'movieID': ".//td[2]/a/@href",
'rating': ".//td[3]/text()",
'votes': ".//td[4]/text()"}))]
def postprocess_data(self, data):
if 'title' not in data or 'episodes' not in data: return {}
nd = []
title = data['title']
for i in data['episodes']:
ept = i['ep title']
movieID = analyze_imdbid(i['movieID'])
votes = i['votes']
rating = i['rating']
if not (ept and movieID and votes and rating): continue
try:
votes = int(votes.replace(',', '').replace('.', ''))
except:
pass
try:
rating = float(rating)
except:
pass
ept = ept.strip()
ept = u'%s {%s' % (title, ept)
nr = i['nr']
if nr:
ept += u' (#%s)' % nr.strip()
ept += '}'
if movieID is not None:
movieID = str(movieID)
m = Movie(title=ept, movieID=movieID, accessSystem=self._as,
modFunct=self._modFunct)
epofdict = m.get('episode of')
if epofdict is not None:
m['episode of'] = Movie(data=epofdict, accessSystem=self._as,
modFunct=self._modFunct)
nd.append({'episode': m, 'votes': votes, 'rating': rating})
return {'episodes rating': nd}
def _normalize_href(href):
if (href is not None) and (not href.lower().startswith('http://')):
if href.startswith('/'): href = href[1:]
# TODO: imdbURL_base may be set by the user!
href = '%s%s' % (imdbURL_base, href)
return href
class DOMHTMLOfficialsitesParser(DOMParserBase):
"""Parser for the "official sites", "external reviews", "newsgroup
reviews", "miscellaneous links", "sound clips", "video clips" and
"photographs" pages of a given movie.
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:
osparser = DOMHTMLOfficialsitesParser()
result = osparser.parse(officialsites_html_string)
"""
kind = 'official sites'
extractors = [
Extractor(label='site',
path="//ol/li/a",
attrs=Attribute(key='self.kind',
multi=True,
path={
'link': "./@href",
'info': "./text()"
},
postprocess=lambda x: (x.get('info').strip(),
urllib.unquote(_normalize_href(x.get('link'))))))
]
class DOMHTMLConnectionParser(DOMParserBase):
"""Parser for the "connections" page of a given movie.
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:
connparser = DOMHTMLConnectionParser()
result = connparser.parse(connections_html_string)
"""
_containsObjects = True
extractors = [Extractor(label='connection',
group="//div[@class='_imdbpy']",
group_key="./h5/text()",
group_key_normalize=lambda x: x.lower(),
path="./a",
attrs=Attribute(key=None,
path={'title': "./text()",
'movieID': "./@href"},
multi=True))]
preprocessors = [
('<h5>', '</div><div class="_imdbpy"><h5>'),
# To get the movie's year.
('</a> (', ' ('),
('\n<br/>', '</a>'),
('<br/> - ', '::')
]
def postprocess_data(self, data):
for key in data.keys():
nl = []
for v in data[key]:
title = v['title']
ts = title.split('::', 1)
title = ts[0].strip()
notes = u''
if len(ts) == 2:
notes = ts[1].strip()
m = Movie(title=title,
movieID=analyze_imdbid(v['movieID']),
accessSystem=self._as, notes=notes,
modFunct=self._modFunct)
nl.append(m)
data[key] = nl
if not data: return {}
return {'connections': data}
class DOMHTMLLocationsParser(DOMParserBase):
"""Parser for the "locations" page of a given movie.
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:
lparser = DOMHTMLLocationsParser()
result = lparser.parse(locations_html_string)
"""
extractors = [Extractor(label='locations', path="//dt",
attrs=Attribute(key='locations', multi=True,
path={'place': ".//text()",
'note': "./following-sibling::dd[1]" \
"//text()"},
postprocess=lambda x: (u'%s::%s' % (
x['place'].strip(),
(x['note'] or u'').strip())).strip(':')))]
class DOMHTMLTechParser(DOMParserBase):
"""Parser for the "technical", "business", "literature",
"publicity" (for people) and "contacts (for people) pages of
a given movie.
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:
tparser = HTMLTechParser()
result = tparser.parse(technical_html_string)
"""
kind = 'tech'
extractors = [Extractor(label='tech',
group="//h5",
group_key="./text()",
group_key_normalize=lambda x: x.lower(),
path="./following-sibling::div[1]",
attrs=Attribute(key=None,
path=".//text()",
postprocess=lambda x: [t.strip()
for t in x.split('\n') if t.strip()]))]
preprocessors = [
(re.compile('(<h5>.*?</h5>)', re.I), r'</div>\1<div class="_imdbpy">'),
(re.compile('((<br/>|</p>|</table>))\n?<br/>(?!<a)', re.I),
r'\1</div>'),
# the ones below are for the publicity parser
(re.compile('<p>(.*?)</p>', re.I), r'\1<br/>'),
(re.compile('(</td><td valign="top">)', re.I), r'\1::'),
(re.compile('(</tr><tr>)', re.I), r'\n\1'),
# this is for splitting individual entries
(re.compile('<br/>', re.I), r'\n'),
]
def postprocess_data(self, data):
for key in data:
data[key] = filter(None, data[key])
if self.kind in ('literature', 'business', 'contacts') and data:
if 'screenplay/teleplay' in data:
data['screenplay-teleplay'] = data['screenplay/teleplay']
del data['screenplay/teleplay']
data = {self.kind: data}
else:
if self.kind == 'publicity':
if 'biography (print)' in data:
data['biography-print'] = data['biography (print)']
del data['biography (print)']
# Tech info.
for key in data.keys():
if key.startswith('film negative format'):
data['film negative format'] = data[key]
del data[key]
elif key.startswith('film length'):
data['film length'] = data[key]
del data[key]
return data
class DOMHTMLRecParser(DOMParserBase):
"""Parser for the "recommendations" page of a given movie.
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:
rparser = HTMLRecParser()
result = rparser.parse(recommendations_html_string)
"""
_containsObjects = True
extractors = [Extractor(label='recommendations',
path="//td[@valign='middle'][1]",
attrs=Attribute(key='../../tr/td[1]//text()',
multi=True,
path={'title': ".//text()",
'movieID': ".//a/@href"}))]
def postprocess_data(self, data):
for key in data.keys():
n_key = key
n_keyl = n_key.lower()
if n_keyl == 'suggested by the database':
n_key = 'database'
elif n_keyl == 'imdb users recommend':
n_key = 'users'
data[n_key] = [Movie(title=x['title'],
movieID=analyze_imdbid(x['movieID']),
accessSystem=self._as, modFunct=self._modFunct)
for x in data[key]]
del data[key]
if data: return {'recommendations': data}
return data
class DOMHTMLNewsParser(DOMParserBase):
"""Parser for the "news" page of a given movie or 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:
nwparser = DOMHTMLNewsParser()
result = nwparser.parse(news_html_string)
"""
_defGetRefs = True
extractors = [
Extractor(label='news',
path="//h2",
attrs=Attribute(key='news',
multi=True,
path={
'title': "./text()",
'fromdate': "../following-sibling::p[1]/small//text()",
# FIXME: sometimes (see The Matrix (1999)) <p> is found
# inside news text.
'body': "../following-sibling::p[2]//text()",
'link': "../..//a[text()='Permalink']/@href",
'fulllink': "../..//a[starts-with(text(), " \
"'See full article at')]/@href"
},
postprocess=lambda x: {
'title': x.get('title').strip(),
'date': x.get('fromdate').split('|')[0].strip(),
'from': x.get('fromdate').split('|')[1].replace('From ',
'').strip(),
'body': (x.get('body') or u'').strip(),
'link': _normalize_href(x.get('link')),
'full article link': _normalize_href(x.get('fulllink'))
}))
]
preprocessors = [
(re.compile('(<a name=[^>]+><h2>)', re.I), r'<div class="_imdbpy">\1'),
(re.compile('(<hr/>)', re.I), r'</div>\1'),
(re.compile('<p></p>', re.I), r'')
]
def postprocess_data(self, data):
if not data.has_key('news'):
return {}
for news in data['news']:
if news.has_key('full article link'):
if news['full article link'] is None:
del news['full article link']
return data
def _parse_review(x):
result = {}
title = x.get('title').strip()
if title[-1] == ':': title = title[:-1]
result['title'] = title
result['link'] = _normalize_href(x.get('link'))
kind = x.get('kind').strip()
if kind[-1] == ':': kind = kind[:-1]
result['review kind'] = kind
text = x.get('review').replace('\n\n', '||').replace('\n', ' ').split('||')
review = '\n'.join(text)
if x.get('author') is not None:
author = x.get('author').strip()
review = review.split(author)[0].strip()
result['review author'] = author[2:]
if x.get('item') is not None:
item = x.get('item').strip()
review = review[len(item):].strip()
review = "%s: %s" % (item, review)
result['review'] = review
return result
class DOMHTMLSeasonEpisodesParser(DOMParserBase):
"""Parser for the "episode list" page of a given movie.
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 = DOMHTMLSeasonEpisodesParser()
result = sparser.parse(episodes_html_string)
"""
extractors = [
Extractor(label='series link',
path="//div[@class='parent']",
attrs=[Attribute(key='series link',
path=".//a/@href")]
),
Extractor(label='series title',
path="//head/meta[@property='og:title']",
attrs=[Attribute(key='series title',
path="./@content")]
),
Extractor(label='seasons list',
path="//select[@id='bySeason']//option",
attrs=[Attribute(key='_seasons',
multi=True,
path="./@value")]),
Extractor(label='selected season',
path="//select[@id='bySeason']//option[@selected]",
attrs=[Attribute(key='_current_season',
path='./@value')]),
Extractor(label='episodes',
path=".",
group="//div[@class='info']",
group_key=".//meta/@content",
group_key_normalize=lambda x: 'episode %s' % x,
attrs=[Attribute(key=None,
multi=True,
path={
"link": ".//strong//a[@href][1]/@href",
"original air date": ".//div[@class='airdate']/text()",
"title": ".//strong//text()",
"plot": ".//div[@class='item_description']//text()"
}
)]
)
]
def postprocess_data(self, data):
series_id = analyze_imdbid(data.get('series link'))
series_title = data.get('series title', '').strip()
selected_season = data.get('_current_season',
'unknown season').strip()
if not (series_id and series_title):
return {}
series = Movie(title=series_title, movieID=str(series_id),
accessSystem=self._as, modFunct=self._modFunct)
if series.get('kind') == 'movie':
series['kind'] = u'tv series'
try: selected_season = int(selected_season)
except: pass
nd = {selected_season: {}}
for episode_nr, episode in data.iteritems():
if not (episode and episode[0] and
episode_nr.startswith('episode ')):
continue
episode = episode[0]
episode_nr = episode_nr[8:].rstrip()
try: episode_nr = int(episode_nr)
except: pass
episode_id = analyze_imdbid(episode.get('link' ''))
episode_air_date = episode.get('original air date',
'').strip()
episode_title = episode.get('title', '').strip()
episode_plot = episode.get('plot', '')
if not (episode_nr and episode_id and episode_title):
continue
ep_obj = Movie(movieID=episode_id, title=episode_title,
accessSystem=self._as, modFunct=self._modFunct)
ep_obj['kind'] = u'episode'
ep_obj['episode of'] = series
ep_obj['season'] = selected_season
ep_obj['episode'] = episode_nr
if episode_air_date:
ep_obj['original air date'] = episode_air_date
if episode_air_date[-4:].isdigit():
ep_obj['year'] = episode_air_date[-4:]
if episode_plot:
ep_obj['plot'] = episode_plot
nd[selected_season][episode_nr] = ep_obj
_seasons = data.get('_seasons') or []
for idx, season in enumerate(_seasons):
try: _seasons[idx] = int(season)
except: pass
return {'episodes': nd, '_seasons': _seasons,
'_current_season': selected_season}
def _build_episode(x):
"""Create a Movie object for a given series' episode."""
episode_id = analyze_imdbid(x.get('link'))
episode_title = x.get('title')
e = Movie(movieID=episode_id, title=episode_title)
e['kind'] = u'episode'
oad = x.get('oad')
if oad:
e['original air date'] = oad.strip()
year = x.get('year')
if year is not None:
year = year[5:]
if year == 'unknown': year = u'????'
if year and year.isdigit():
year = int(year)
e['year'] = year
else:
if oad and oad[-4:].isdigit():
e['year'] = int(oad[-4:])
epinfo = x.get('episode')
if epinfo is not None:
season, episode = epinfo.split(':')[0].split(',')
e['season'] = int(season[7:])
e['episode'] = int(episode[8:])
else:
e['season'] = 'unknown'
e['episode'] = 'unknown'
plot = x.get('plot')
if plot:
e['plot'] = plot.strip()
return e
class DOMHTMLEpisodesParser(DOMParserBase):
"""Parser for the "episode list" page of a given movie.
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:
eparser = DOMHTMLEpisodesParser()
result = eparser.parse(episodes_html_string)
"""
# XXX: no more used for the list of episodes parser,
# but only for the episodes cast parser (see below).
_containsObjects = True
kind = 'episodes list'
_episodes_path = "..//h4"
_oad_path = "./following-sibling::span/strong[1]/text()"
def _init(self):
self.extractors = [
Extractor(label='series',
path="//html",
attrs=[Attribute(key='series title',
path=".//title/text()"),
Attribute(key='series movieID',
path=".//h1/a[@class='main']/@href",
postprocess=analyze_imdbid)
]),
Extractor(label='episodes',
group="//div[@class='_imdbpy']/h3",
group_key="./a/@name",
path=self._episodes_path,
attrs=Attribute(key=None,
multi=True,
path={
'link': "./a/@href",
'title': "./a/text()",
'year': "./preceding-sibling::a[1]/@name",
'episode': "./text()[1]",
'oad': self._oad_path,
'plot': "./following-sibling::text()[1]"
},
postprocess=_build_episode))]
if self.kind == 'episodes cast':
self.extractors += [
Extractor(label='cast',
group="//h4",
group_key="./text()[1]",
group_key_normalize=lambda x: x.strip(),
path="./following-sibling::table[1]//td[@class='nm']",
attrs=Attribute(key=None,
multi=True,
path={'person': "..//text()",
'link': "./a/@href",
'roleID': \
"../td[4]/div[@class='_imdbpyrole']/@roleid"},
postprocess=lambda x: \
build_person(x.get('person') or u'',
personID=analyze_imdbid(x.get('link')),
roleID=(x.get('roleID') or u'').split('/'),
accessSystem=self._as,
modFunct=self._modFunct)))
]
preprocessors = [
(re.compile('(<hr/>\n)(<h3>)', re.I),
r'</div>\1<div class="_imdbpy">\2'),
(re.compile('(</p>\n\n)</div>', re.I), r'\1'),
(re.compile('<h3>(.*?)</h3>', re.I), r'<h4>\1</h4>'),
(_reRolesMovie, _manageRoles),
(re.compile('(<br/> <br/>\n)(<hr/>)', re.I), r'\1</div>\2')
]
def postprocess_data(self, data):
# A bit extreme?
if not 'series title' in data: return {}
if not 'series movieID' in data: return {}
stitle = data['series title'].replace('- Episode list', '')
stitle = stitle.replace('- Episodes list', '')
stitle = stitle.replace('- Episode cast', '')
stitle = stitle.replace('- Episodes cast', '')
stitle = stitle.strip()
if not stitle: return {}
seriesID = data['series movieID']
if seriesID is None: return {}
series = Movie(title=stitle, movieID=str(seriesID),
accessSystem=self._as, modFunct=self._modFunct)
nd = {}
for key in data.keys():
if key.startswith('filter-season-') or key.startswith('season-'):
season_key = key.replace('filter-season-', '').replace('season-', '')
try: season_key = int(season_key)
except: pass
nd[season_key] = {}
ep_counter = 1
for episode in data[key]:
if not episode: continue
episode_key = episode.get('episode')
if episode_key is None: continue
if not isinstance(episode_key, int):
episode_key = ep_counter
ep_counter += 1
cast_key = 'Season %s, Episode %s:' % (season_key,
episode_key)
if data.has_key(cast_key):
cast = data[cast_key]
for i in xrange(len(cast)):
cast[i].billingPos = i + 1
episode['cast'] = cast
episode['episode of'] = series
nd[season_key][episode_key] = episode
if len(nd) == 0:
return {}
return {'episodes': nd}
class DOMHTMLEpisodesCastParser(DOMHTMLEpisodesParser):
"""Parser for the "episodes cast" page of a given movie.
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:
eparser = DOMHTMLEpisodesParser()
result = eparser.parse(episodes_html_string)
"""
kind = 'episodes cast'
_episodes_path = "..//h4"
_oad_path = "./following-sibling::b[1]/text()"
class DOMHTMLFaqsParser(DOMParserBase):
"""Parser for the "FAQ" page of a given movie.
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:
fparser = DOMHTMLFaqsParser()
result = fparser.parse(faqs_html_string)
"""
_defGetRefs = True
# XXX: bsoup and lxml don't match (looks like a minor issue, anyway).
extractors = [
Extractor(label='faqs',
path="//div[@class='section']",
attrs=Attribute(key='faqs',
multi=True,
path={
'question': "./h3/a/span/text()",
'answer': "../following-sibling::div[1]//text()"
},
postprocess=lambda x: u'%s::%s' % (x.get('question').strip(),
'\n\n'.join(x.get('answer').replace(
'\n\n', '\n').strip().split('||')))))
]
preprocessors = [
(re.compile('<br/><br/>', re.I), r'||'),
(re.compile('<h4>(.*?)</h4>\n', re.I), r'||\1--'),
(re.compile('<span class="spoiler"><span>(.*?)</span></span>', re.I),
r'[spoiler]\1[/spoiler]')
]
class DOMHTMLAiringParser(DOMParserBase):
"""Parser for the "airing" page of a given movie.
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:
aparser = DOMHTMLAiringParser()
result = aparser.parse(airing_html_string)
"""
_containsObjects = True
extractors = [
Extractor(label='series title',
path="//title",
attrs=Attribute(key='series title', path="./text()",
postprocess=lambda x: \
x.replace(' - TV schedule', u''))),
Extractor(label='series id',
path="//h1/a[@href]",
attrs=Attribute(key='series id', path="./@href")),
Extractor(label='tv airings',
path="//tr[@class]",
attrs=Attribute(key='airing',
multi=True,
path={
'date': "./td[1]//text()",
'time': "./td[2]//text()",
'channel': "./td[3]//text()",
'link': "./td[4]/a[1]/@href",
'title': "./td[4]//text()",
'season': "./td[5]//text()",
},
postprocess=lambda x: {
'date': x.get('date'),
'time': x.get('time'),
'channel': x.get('channel').strip(),
'link': x.get('link'),
'title': x.get('title'),
'season': (x.get('season') or '').strip()
}
))
]
def postprocess_data(self, data):
if len(data) == 0:
return {}
seriesTitle = data['series title']
seriesID = analyze_imdbid(data['series id'])
if data.has_key('airing'):
for airing in data['airing']:
title = airing.get('title', '').strip()
if not title:
epsTitle = seriesTitle
if seriesID is None:
continue
epsID = seriesID
else:
epsTitle = '%s {%s}' % (data['series title'],
airing['title'])
epsID = analyze_imdbid(airing['link'])
e = Movie(title=epsTitle, movieID=epsID)
airing['episode'] = e
del airing['link']
del airing['title']
if not airing['season']:
del airing['season']
if 'series title' in data:
del data['series title']
if 'series id' in data:
del data['series id']
if 'airing' in data:
data['airing'] = filter(None, data['airing'])
if 'airing' not in data or not data['airing']:
return {}
return data
class DOMHTMLSynopsisParser(DOMParserBase):
"""Parser for the "synopsis" page of a given movie.
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 = HTMLSynopsisParser()
result = sparser.parse(synopsis_html_string)
"""
extractors = [
Extractor(label='synopsis',
path="//div[@class='display'][not(@style)]",
attrs=Attribute(key='synopsis',
path=".//text()",
postprocess=lambda x: '\n\n'.join(x.strip().split('||'))))
]
preprocessors = [
(re.compile('<br/><br/>', re.I), r'||')
]
class DOMHTMLParentsGuideParser(DOMParserBase):
"""Parser for the "parents guide" page of a given movie.
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:
pgparser = HTMLParentsGuideParser()
result = pgparser.parse(parentsguide_html_string)
"""
extractors = [
Extractor(label='parents guide',
group="//div[@class='section']",
group_key="./h3/a/span/text()",
group_key_normalize=lambda x: x.lower(),
path="../following-sibling::div[1]/p",
attrs=Attribute(key=None,
path=".//text()",
postprocess=lambda x: [t.strip().replace('\n', ' ')
for t in x.split('||') if t.strip()]))
]
preprocessors = [
(re.compile('<br/><br/>', re.I), r'||')
]
def postprocess_data(self, data):
data2 = {}
for key in data:
if data[key]:
data2[key] = data[key]
if not data2:
return {}
return {'parents guide': data2}
_OBJECTS = {
'movie_parser': ((DOMHTMLMovieParser,), None),
'plot_parser': ((DOMHTMLPlotParser,), None),
'movie_awards_parser': ((DOMHTMLAwardsParser,), None),
'taglines_parser': ((DOMHTMLTaglinesParser,), None),
'keywords_parser': ((DOMHTMLKeywordsParser,), None),
'crazycredits_parser': ((DOMHTMLCrazyCreditsParser,), None),
'goofs_parser': ((DOMHTMLGoofsParser,), None),
'alternateversions_parser': ((DOMHTMLAlternateVersionsParser,), None),
'trivia_parser': ((DOMHTMLTriviaParser,), None),
'soundtrack_parser': ((DOMHTMLSoundtrackParser,), {'kind': 'soundtrack'}),
'quotes_parser': ((DOMHTMLQuotesParser,), None),
'releasedates_parser': ((DOMHTMLReleaseinfoParser,), None),
'ratings_parser': ((DOMHTMLRatingsParser,), None),
'officialsites_parser': ((DOMHTMLOfficialsitesParser,), None),
'externalrev_parser': ((DOMHTMLOfficialsitesParser,),
{'kind': 'external reviews'}),
'newsgrouprev_parser': ((DOMHTMLOfficialsitesParser,),
{'kind': 'newsgroup reviews'}),
'misclinks_parser': ((DOMHTMLOfficialsitesParser,),
{'kind': 'misc links'}),
'soundclips_parser': ((DOMHTMLOfficialsitesParser,),
{'kind': 'sound clips'}),
'videoclips_parser': ((DOMHTMLOfficialsitesParser,),
{'kind': 'video clips'}),
'photosites_parser': ((DOMHTMLOfficialsitesParser,),
{'kind': 'photo sites'}),
'connections_parser': ((DOMHTMLConnectionParser,), None),
'tech_parser': ((DOMHTMLTechParser,), None),
'business_parser': ((DOMHTMLTechParser,),
{'kind': 'business', '_defGetRefs': 1}),
'literature_parser': ((DOMHTMLTechParser,), {'kind': 'literature'}),
'locations_parser': ((DOMHTMLLocationsParser,), None),
'rec_parser': ((DOMHTMLRecParser,), None),
'news_parser': ((DOMHTMLNewsParser,), None),
'episodes_parser': ((DOMHTMLEpisodesParser,), None),
'season_episodes_parser': ((DOMHTMLSeasonEpisodesParser,), None),
'episodes_cast_parser': ((DOMHTMLEpisodesCastParser,), None),
'eprating_parser': ((DOMHTMLEpisodesRatings,), None),
'movie_faqs_parser': ((DOMHTMLFaqsParser,), None),
'airing_parser': ((DOMHTMLAiringParser,), None),
'synopsis_parser': ((DOMHTMLSynopsisParser,), None),
'parentsguide_parser': ((DOMHTMLParentsGuideParser,), None)
}
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