mirror of
https://github.com/moparisthebest/SickRage
synced 2024-11-17 14:55:07 -05:00
0d9fbc1ad7
This version of SickBeard uses both TVDB and TVRage to search and gather it's series data from allowing you to now have access to and download shows that you couldn't before because of being locked into only what TheTVDB had to offer. Also this edition is based off the code we used in our XEM editon so it does come with scene numbering support as well as all the other features our XEM edition has to offer. Please before using this with your existing database (sickbeard.db) please make a backup copy of it and delete any other database files such as cache.db and failed.db if present, we HIGHLY recommend starting out with no database files at all to make this a fresh start but the choice is at your own risk! Enjoy!
107 lines
3.8 KiB
Python
107 lines
3.8 KiB
Python
"""
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parser.http.topBottomParser module (imdb package).
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This module provides the classes (and the instances), used to parse the
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lists of top 250 and bottom 100 movies.
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E.g.:
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http://akas.imdb.com/chart/top
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http://akas.imdb.com/chart/bottom
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Copyright 2009 Davide Alberani <da@erlug.linux.it>
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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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from imdb.utils import analyze_title
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from utils import DOMParserBase, Attribute, Extractor, analyze_imdbid
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class DOMHTMLTop250Parser(DOMParserBase):
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"""Parser for the "top 250" page.
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The page should be provided as a string, as taken from
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the akas.imdb.com server. The final result will be a
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dictionary, with a key for every relevant section.
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Example:
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tparser = DOMHTMLTop250Parser()
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result = tparser.parse(top250_html_string)
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"""
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label = 'top 250'
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ranktext = 'top 250 rank'
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def _init(self):
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self.extractors = [Extractor(label=self.label,
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path="//div[@id='main']//table//tr",
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attrs=Attribute(key=None,
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multi=True,
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path={self.ranktext: "./td[1]//text()",
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'rating': "./td[2]//text()",
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'title': "./td[3]//text()",
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'movieID': "./td[3]//a/@href",
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'votes': "./td[4]//text()"
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}))]
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def postprocess_data(self, data):
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if not data or self.label not in data:
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return []
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mlist = []
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data = data[self.label]
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# Avoid duplicates. A real fix, using XPath, is auspicabile.
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# XXX: probably this is no more needed.
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seenIDs = []
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for d in data:
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if 'movieID' not in d: continue
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if self.ranktext not in d: continue
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if 'title' not in d: continue
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theID = analyze_imdbid(d['movieID'])
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if theID is None:
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continue
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theID = str(theID)
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if theID in seenIDs:
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continue
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seenIDs.append(theID)
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minfo = analyze_title(d['title'])
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try: minfo[self.ranktext] = int(d[self.ranktext].replace('.', ''))
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except: pass
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if 'votes' in d:
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try: minfo['votes'] = int(d['votes'].replace(',', ''))
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except: pass
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if 'rating' in d:
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try: minfo['rating'] = float(d['rating'])
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except: pass
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mlist.append((theID, minfo))
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return mlist
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class DOMHTMLBottom100Parser(DOMHTMLTop250Parser):
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"""Parser for the "bottom 100" page.
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The page should be provided as a string, as taken from
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the akas.imdb.com server. The final result will be a
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dictionary, with a key for every relevant section.
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Example:
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tparser = DOMHTMLBottom100Parser()
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result = tparser.parse(bottom100_html_string)
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"""
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label = 'bottom 100'
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ranktext = 'bottom 100 rank'
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_OBJECTS = {
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'top250_parser': ((DOMHTMLTop250Parser,), None),
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'bottom100_parser': ((DOMHTMLBottom100Parser,), None)
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}
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