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146 lines
6 KiB
Python
146 lines
6 KiB
Python
#!/usr/bin/env python2
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# -*- coding: utf-8 -*-
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#
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# GuessIt - A library for guessing information from filenames
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# Copyright (c) 2012 Nicolas Wack <wackou@gmail.com>
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#
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# GuessIt is free software; you can redistribute it and/or modify it under
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# the terms of the Lesser GNU General Public License as published by
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# the Free Software Foundation; either version 3 of the License, or
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# (at your option) any later version.
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#
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# GuessIt 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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# Lesser GNU General Public License for more details.
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#
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# You should have received a copy of the Lesser GNU General Public License
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# along with this program. If not, see <http://www.gnu.org/licenses/>.
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#
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from __future__ import unicode_literals
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from guessit.transfo import found_property
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from guessit.patterns import non_episode_title, unlikely_series
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import logging
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log = logging.getLogger(__name__)
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def match_from_epnum_position(mtree, node):
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epnum_idx = node.node_idx
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# a few helper functions to be able to filter using high-level semantics
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def before_epnum_in_same_pathgroup():
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return [ leaf for leaf in mtree.unidentified_leaves()
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if (leaf.node_idx[0] == epnum_idx[0] and
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leaf.node_idx[1:] < epnum_idx[1:]) ]
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def after_epnum_in_same_pathgroup():
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return [ leaf for leaf in mtree.unidentified_leaves()
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if (leaf.node_idx[0] == epnum_idx[0] and
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leaf.node_idx[1:] > epnum_idx[1:]) ]
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def after_epnum_in_same_explicitgroup():
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return [ leaf for leaf in mtree.unidentified_leaves()
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if (leaf.node_idx[:2] == epnum_idx[:2] and
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leaf.node_idx[2:] > epnum_idx[2:]) ]
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# epnumber is the first group and there are only 2 after it in same
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# path group
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# -> series title - episode title
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title_candidates = [ n for n in after_epnum_in_same_pathgroup()
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if n.clean_value.lower() not in non_episode_title ]
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if ('title' not in mtree.info and # no title
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before_epnum_in_same_pathgroup() == [] and # no groups before
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len(title_candidates) == 2): # only 2 groups after
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found_property(title_candidates[0], 'series', confidence=0.4)
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found_property(title_candidates[1], 'title', confidence=0.4)
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return
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# if we have at least 1 valid group before the episodeNumber, then it's
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# probably the series name
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series_candidates = before_epnum_in_same_pathgroup()
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if len(series_candidates) >= 1:
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found_property(series_candidates[0], 'series', confidence=0.7)
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# only 1 group after (in the same path group) and it's probably the
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# episode title
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title_candidates = [ n for n in after_epnum_in_same_pathgroup()
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if n.clean_value.lower() not in non_episode_title ]
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if len(title_candidates) == 1:
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found_property(title_candidates[0], 'title', confidence=0.5)
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return
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else:
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# try in the same explicit group, with lower confidence
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title_candidates = [ n for n in after_epnum_in_same_explicitgroup()
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if n.clean_value.lower() not in non_episode_title
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]
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if len(title_candidates) == 1:
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found_property(title_candidates[0], 'title', confidence=0.4)
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return
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elif len(title_candidates) > 1:
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found_property(title_candidates[0], 'title', confidence=0.3)
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return
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# get the one with the longest value
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title_candidates = [ n for n in after_epnum_in_same_pathgroup()
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if n.clean_value.lower() not in non_episode_title ]
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if title_candidates:
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maxidx = -1
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maxv = -1
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for i, c in enumerate(title_candidates):
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if len(c.clean_value) > maxv:
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maxidx = i
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maxv = len(c.clean_value)
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found_property(title_candidates[maxidx], 'title', confidence=0.3)
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def process(mtree):
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eps = [node for node in mtree.leaves() if 'episodeNumber' in node.guess]
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if eps:
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match_from_epnum_position(mtree, eps[0])
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else:
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# if we don't have the episode number, but at least 2 groups in the
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# basename, then it's probably series - eptitle
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basename = mtree.node_at((-2,))
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title_candidates = [ n for n in basename.unidentified_leaves()
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if n.clean_value.lower() not in non_episode_title
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]
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if len(title_candidates) >= 2:
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found_property(title_candidates[0], 'series', 0.4)
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found_property(title_candidates[1], 'title', 0.4)
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elif len(title_candidates) == 1:
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# but if there's only one candidate, it's probably the series name
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found_property(title_candidates[0], 'series', 0.4)
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# if we only have 1 remaining valid group in the folder containing the
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# file, then it's likely that it is the series name
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try:
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series_candidates = mtree.node_at((-3,)).unidentified_leaves()
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except ValueError:
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series_candidates = []
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if len(series_candidates) == 1:
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found_property(series_candidates[0], 'series', 0.3)
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# if there's a path group that only contains the season info, then the
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# previous one is most likely the series title (ie: ../series/season X/..)
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eps = [ node for node in mtree.nodes()
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if 'season' in node.guess and 'episodeNumber' not in node.guess ]
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if eps:
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previous = [ node for node in mtree.unidentified_leaves()
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if node.node_idx[0] == eps[0].node_idx[0] - 1 ]
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if len(previous) == 1:
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found_property(previous[0], 'series', 0.5)
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# reduce the confidence of unlikely series
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for node in mtree.nodes():
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if 'series' in node.guess:
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if node.guess['series'].lower() in unlikely_series:
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new_confidence = node.guess.confidence('series') * 0.5
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node.guess.set_confidence('series', new_confidence)
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