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bazarr/libs/subliminal/score.py
2018-04-23 08:36:17 -04:00

234 lines
8.5 KiB
Python

# -*- coding: utf-8 -*-
"""
This module provides the default implementation of the `compute_score` parameter in
:meth:`~subliminal.core.ProviderPool.download_best_subtitles` and :func:`~subliminal.core.download_best_subtitles`.
.. note::
To avoid unnecessary dependency on `sympy <http://www.sympy.org/>`_ and boost subliminal's import time, the
resulting scores are hardcoded here and manually updated when the set of equations change.
Available matches:
* hash
* title
* year
* series
* season
* episode
* release_group
* format
* audio_codec
* resolution
* hearing_impaired
* video_codec
* series_imdb_id
* imdb_id
* tvdb_id
"""
from __future__ import division, print_function
import logging
from .video import Episode, Movie
logger = logging.getLogger(__name__)
#: Scores for episodes
episode_scores = {'hash': 359, 'series': 180, 'year': 90, 'season': 30, 'episode': 30, 'release_group': 15,
'format': 7, 'audio_codec': 3, 'resolution': 2, 'video_codec': 2, 'hearing_impaired': 1}
#: Scores for movies
movie_scores = {'hash': 119, 'title': 60, 'year': 30, 'release_group': 15,
'format': 7, 'audio_codec': 3, 'resolution': 2, 'video_codec': 2, 'hearing_impaired': 1}
#: Equivalent release groups
equivalent_release_groups = ({'LOL', 'DIMENSION'}, {'ASAP', 'IMMERSE', 'FLEET'}, {'AVS', 'SVA'})
def get_equivalent_release_groups(release_group):
"""Get all the equivalents of the given release group.
:param str release_group: the release group to get the equivalents of.
:return: the equivalent release groups.
:rtype: set
"""
for equivalent_release_group in equivalent_release_groups:
if release_group in equivalent_release_group:
return equivalent_release_group
return {release_group}
def get_scores(video):
"""Get the scores dict for the given `video`.
This will return either :data:`episode_scores` or :data:`movie_scores` based on the type of the `video`.
:param video: the video to compute the score against.
:type video: :class:`~subliminal.video.Video`
:return: the scores dict.
:rtype: dict
"""
if isinstance(video, Episode):
return episode_scores
elif isinstance(video, Movie):
return movie_scores
raise ValueError('video must be an instance of Episode or Movie')
def compute_score(subtitle, video, hearing_impaired=None):
"""Compute the score of the `subtitle` against the `video` with `hearing_impaired` preference.
:func:`compute_score` uses the :meth:`Subtitle.get_matches <subliminal.subtitle.Subtitle.get_matches>` method and
applies the scores (either from :data:`episode_scores` or :data:`movie_scores`) after some processing.
:param subtitle: the subtitle to compute the score of.
:type subtitle: :class:`~subliminal.subtitle.Subtitle`
:param video: the video to compute the score against.
:type video: :class:`~subliminal.video.Video`
:param bool hearing_impaired: hearing impaired preference.
:return: score of the subtitle.
:rtype: int
"""
logger.info('Computing score of %r for video %r with %r', subtitle, video, dict(hearing_impaired=hearing_impaired))
# get the scores dict
scores = get_scores(video)
logger.debug('Using scores %r', scores)
# get the matches
matches = subtitle.get_matches(video)
logger.debug('Found matches %r', matches)
# on hash match, discard everything else
if 'hash' in matches:
logger.debug('Keeping only hash match')
matches &= {'hash'}
# handle equivalent matches
if isinstance(video, Episode):
if 'title' in matches:
logger.debug('Adding title match equivalent')
matches.add('episode')
if 'series_imdb_id' in matches:
logger.debug('Adding series_imdb_id match equivalent')
matches |= {'series', 'year'}
if 'imdb_id' in matches:
logger.debug('Adding imdb_id match equivalents')
matches |= {'series', 'year', 'season', 'episode'}
if 'tvdb_id' in matches:
logger.debug('Adding tvdb_id match equivalents')
matches |= {'series', 'year', 'season', 'episode'}
if 'series_tvdb_id' in matches:
logger.debug('Adding series_tvdb_id match equivalents')
matches |= {'series', 'year'}
elif isinstance(video, Movie):
if 'imdb_id' in matches:
logger.debug('Adding imdb_id match equivalents')
matches |= {'title', 'year'}
# handle hearing impaired
if hearing_impaired is not None and subtitle.hearing_impaired == hearing_impaired:
logger.debug('Matched hearing_impaired')
matches.add('hearing_impaired')
# compute the score
score = sum((scores.get(match, 0) for match in matches))
logger.info('Computed score %r with final matches %r', score, matches)
# ensure score is within valid bounds
assert 0 <= score <= scores['hash'] + scores['hearing_impaired']
return score
def solve_episode_equations():
from sympy import Eq, solve, symbols
hash, series, year, season, episode, release_group = symbols('hash series year season episode release_group')
format, audio_codec, resolution, video_codec = symbols('format audio_codec resolution video_codec')
hearing_impaired = symbols('hearing_impaired')
equations = [
# hash is best
Eq(hash, series + year + season + episode + release_group + format + audio_codec + resolution + video_codec),
# series counts for the most part in the total score
Eq(series, year + season + episode + release_group + format + audio_codec + resolution + video_codec + 1),
# year is the second most important part
Eq(year, season + episode + release_group + format + audio_codec + resolution + video_codec + 1),
# season is important too
Eq(season, release_group + format + audio_codec + resolution + video_codec + 1),
# episode is equally important to season
Eq(episode, season),
# release group is the next most wanted match
Eq(release_group, format + audio_codec + resolution + video_codec + 1),
# format counts as much as audio_codec, resolution and video_codec
Eq(format, audio_codec + resolution + video_codec),
# audio_codec is more valuable than video_codec
Eq(audio_codec, video_codec + 1),
# resolution counts as much as video_codec
Eq(resolution, video_codec),
# video_codec is the least valuable match but counts more than the sum of all scoring increasing matches
Eq(video_codec, hearing_impaired + 1),
# hearing impaired is only used for score increasing, so put it to 1
Eq(hearing_impaired, 1),
]
return solve(equations, [hash, series, year, season, episode, release_group, format, audio_codec, resolution,
hearing_impaired, video_codec])
def solve_movie_equations():
from sympy import Eq, solve, symbols
hash, title, year, release_group = symbols('hash title year release_group')
format, audio_codec, resolution, video_codec = symbols('format audio_codec resolution video_codec')
hearing_impaired = symbols('hearing_impaired')
equations = [
# hash is best
Eq(hash, title + year + release_group + format + audio_codec + resolution + video_codec),
# title counts for the most part in the total score
Eq(title, year + release_group + format + audio_codec + resolution + video_codec + 1),
# year is the second most important part
Eq(year, release_group + format + audio_codec + resolution + video_codec + 1),
# release group is the next most wanted match
Eq(release_group, format + audio_codec + resolution + video_codec + 1),
# format counts as much as audio_codec, resolution and video_codec
Eq(format, audio_codec + resolution + video_codec),
# audio_codec is more valuable than video_codec
Eq(audio_codec, video_codec + 1),
# resolution counts as much as video_codec
Eq(resolution, video_codec),
# video_codec is the least valuable match but counts more than the sum of all scoring increasing matches
Eq(video_codec, hearing_impaired + 1),
# hearing impaired is only used for score increasing, so put it to 1
Eq(hearing_impaired, 1),
]
return solve(equations, [hash, title, year, release_group, format, audio_codec, resolution, hearing_impaired,
video_codec])