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111 lines
4 KiB
Python
111 lines
4 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 2009-2015 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']//div[1]//div//table//tbody//tr",
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attrs=Attribute(key=None,
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multi=True,
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path={self.ranktext: "./td[2]//text()",
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'rating': "./td[3]//strong//text()",
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'title': "./td[2]//a//text()",
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'year': "./td[2]//span//text()",
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'movieID': "./td[2]//a/@href",
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'votes': "./td[3]//strong/@title"
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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']+" "+d['year'])
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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:
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votes = d['votes'].replace(' votes','')
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votes = votes.split(' based on ')[1]
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minfo['votes'] = int(votes.replace(',', ''))
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except:
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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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