mirror of
https://github.com/SickGear/SickGear.git
synced 2024-12-23 11:13:38 +00:00
102 lines
3.7 KiB
Python
102 lines
3.7 KiB
Python
|
#!/usr/bin/env python2
|
||
|
|
# -*- coding: utf-8 -*-
|
||
|
|
#
|
||
|
|
# GuessIt - A library for guessing information from filenames
|
||
|
|
# Copyright (c) 2012 Nicolas Wack <wackou@gmail.com>
|
||
|
|
#
|
||
|
|
# GuessIt is free software; you can redistribute it and/or modify it under
|
||
|
|
# the terms of the Lesser GNU General Public License as published by
|
||
|
|
# the Free Software Foundation; either version 3 of the License, or
|
||
|
|
# (at your option) any later version.
|
||
|
|
#
|
||
|
|
# GuessIt 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
|
||
|
|
# Lesser GNU General Public License for more details.
|
||
|
|
#
|
||
|
|
# You should have received a copy of the Lesser GNU General Public License
|
||
|
|
# along with this program. If not, see <http://www.gnu.org/licenses/>.
|
||
|
|
#
|
||
|
|
|
||
|
|
from __future__ import unicode_literals
|
||
|
|
from guessit import base_text_type, Guess
|
||
|
|
from guessit.patterns import canonical_form
|
||
|
|
from guessit.textutils import clean_string
|
||
|
|
import logging
|
||
|
|
|
||
|
|
log = logging.getLogger(__name__)
|
||
|
|
|
||
|
|
|
||
|
|
def found_property(node, name, confidence):
|
||
|
|
node.guess = Guess({name: node.clean_value}, confidence=confidence)
|
||
|
|
log.debug('Found with confidence %.2f: %s' % (confidence, node.guess))
|
||
|
|
|
||
|
|
|
||
|
|
def format_guess(guess):
|
||
|
|
"""Format all the found values to their natural type.
|
||
|
|
For instance, a year would be stored as an int value, etc...
|
||
|
|
|
||
|
|
Note that this modifies the dictionary given as input.
|
||
|
|
"""
|
||
|
|
for prop, value in guess.items():
|
||
|
|
if prop in ('season', 'episodeNumber', 'year', 'cdNumber',
|
||
|
|
'cdNumberTotal', 'bonusNumber', 'filmNumber'):
|
||
|
|
guess[prop] = int(guess[prop])
|
||
|
|
elif isinstance(value, base_text_type):
|
||
|
|
if prop in ('edition',):
|
||
|
|
value = clean_string(value)
|
||
|
|
guess[prop] = canonical_form(value).replace('\\', '')
|
||
|
|
|
||
|
|
return guess
|
||
|
|
|
||
|
|
|
||
|
|
def find_and_split_node(node, strategy, logger):
|
||
|
|
string = ' %s ' % node.value # add sentinels
|
||
|
|
for matcher, confidence in strategy:
|
||
|
|
if getattr(matcher, 'use_node', False):
|
||
|
|
result, span = matcher(string, node)
|
||
|
|
else:
|
||
|
|
result, span = matcher(string)
|
||
|
|
|
||
|
|
if result:
|
||
|
|
# readjust span to compensate for sentinels
|
||
|
|
span = (span[0] - 1, span[1] - 1)
|
||
|
|
|
||
|
|
if isinstance(result, Guess):
|
||
|
|
if confidence is None:
|
||
|
|
confidence = result.confidence(list(result.keys())[0])
|
||
|
|
else:
|
||
|
|
if confidence is None:
|
||
|
|
confidence = 1.0
|
||
|
|
|
||
|
|
guess = format_guess(Guess(result, confidence=confidence))
|
||
|
|
msg = 'Found with confidence %.2f: %s' % (confidence, guess)
|
||
|
|
(logger or log).debug(msg)
|
||
|
|
|
||
|
|
node.partition(span)
|
||
|
|
absolute_span = (span[0] + node.offset, span[1] + node.offset)
|
||
|
|
for child in node.children:
|
||
|
|
if child.span == absolute_span:
|
||
|
|
child.guess = guess
|
||
|
|
else:
|
||
|
|
find_and_split_node(child, strategy, logger)
|
||
|
|
return
|
||
|
|
|
||
|
|
|
||
|
|
class SingleNodeGuesser(object):
|
||
|
|
def __init__(self, guess_func, confidence, logger=None):
|
||
|
|
self.guess_func = guess_func
|
||
|
|
self.confidence = confidence
|
||
|
|
self.logger = logger
|
||
|
|
|
||
|
|
def process(self, mtree):
|
||
|
|
# strategy is a list of pairs (guesser, confidence)
|
||
|
|
# - if the guesser returns a guessit.Guess and confidence is specified,
|
||
|
|
# it will override it, otherwise it will leave the guess confidence
|
||
|
|
# - if the guesser returns a simple dict as a guess and confidence is
|
||
|
|
# specified, it will use it, or 1.0 otherwise
|
||
|
|
strategy = [ (self.guess_func, self.confidence) ]
|
||
|
|
|
||
|
|
for node in mtree.unidentified_leaves():
|
||
|
|
find_and_split_node(node, strategy, self.logger)
|