mirror of
https://github.com/SickGear/SickGear.git
synced 2024-11-30 00:13:38 +00:00
306 lines
9.4 KiB
Python
306 lines
9.4 KiB
Python
#!/usr/bin/env python
|
|
# encoding: utf-8
|
|
from __future__ import unicode_literals
|
|
import platform
|
|
import warnings
|
|
|
|
try:
|
|
from .StringMatcher import StringMatcher as SequenceMatcher
|
|
except ImportError:
|
|
if platform.python_implementation() != "PyPy":
|
|
warnings.warn('Using slow pure-python SequenceMatcher. Install python-Levenshtein to remove this warning')
|
|
from difflib import SequenceMatcher
|
|
|
|
from . import utils
|
|
|
|
|
|
###########################
|
|
# Basic Scoring Functions #
|
|
###########################
|
|
|
|
@utils.check_for_none
|
|
@utils.check_for_equivalence
|
|
@utils.check_empty_string
|
|
def ratio(s1, s2):
|
|
s1, s2 = utils.make_type_consistent(s1, s2)
|
|
|
|
m = SequenceMatcher(None, s1, s2)
|
|
return utils.intr(100 * m.ratio())
|
|
|
|
|
|
@utils.check_for_none
|
|
@utils.check_for_equivalence
|
|
@utils.check_empty_string
|
|
def partial_ratio(s1, s2):
|
|
""""Return the ratio of the most similar substring
|
|
as a number between 0 and 100."""
|
|
s1, s2 = utils.make_type_consistent(s1, s2)
|
|
|
|
if len(s1) <= len(s2):
|
|
shorter = s1
|
|
longer = s2
|
|
else:
|
|
shorter = s2
|
|
longer = s1
|
|
|
|
m = SequenceMatcher(None, shorter, longer)
|
|
blocks = m.get_matching_blocks()
|
|
|
|
# each block represents a sequence of matching characters in a string
|
|
# of the form (idx_1, idx_2, len)
|
|
# the best partial match will block align with at least one of those blocks
|
|
# e.g. shorter = "abcd", longer = XXXbcdeEEE
|
|
# block = (1,3,3)
|
|
# best score === ratio("abcd", "Xbcd")
|
|
scores = []
|
|
for block in blocks:
|
|
long_start = block[1] - block[0] if (block[1] - block[0]) > 0 else 0
|
|
long_end = long_start + len(shorter)
|
|
long_substr = longer[long_start:long_end]
|
|
|
|
m2 = SequenceMatcher(None, shorter, long_substr)
|
|
r = m2.ratio()
|
|
if r > .995:
|
|
return 100
|
|
else:
|
|
scores.append(r)
|
|
|
|
return utils.intr(100 * max(scores))
|
|
|
|
|
|
##############################
|
|
# Advanced Scoring Functions #
|
|
##############################
|
|
|
|
def _process_and_sort(s, force_ascii, full_process=True):
|
|
"""Return a cleaned string with token sorted."""
|
|
# pull tokens
|
|
ts = utils.full_process(s, force_ascii=force_ascii) if full_process else s
|
|
tokens = ts.split()
|
|
|
|
# sort tokens and join
|
|
sorted_string = u" ".join(sorted(tokens))
|
|
return sorted_string.strip()
|
|
|
|
|
|
# Sorted Token
|
|
# find all alphanumeric tokens in the string
|
|
# sort those tokens and take ratio of resulting joined strings
|
|
# controls for unordered string elements
|
|
@utils.check_for_none
|
|
def _token_sort(s1, s2, partial=True, force_ascii=True, full_process=True):
|
|
sorted1 = _process_and_sort(s1, force_ascii, full_process=full_process)
|
|
sorted2 = _process_and_sort(s2, force_ascii, full_process=full_process)
|
|
|
|
if partial:
|
|
return partial_ratio(sorted1, sorted2)
|
|
else:
|
|
return ratio(sorted1, sorted2)
|
|
|
|
|
|
def token_sort_ratio(s1, s2, force_ascii=True, full_process=True):
|
|
"""Return a measure of the sequences' similarity between 0 and 100
|
|
but sorting the token before comparing.
|
|
"""
|
|
return _token_sort(s1, s2, partial=False, force_ascii=force_ascii, full_process=full_process)
|
|
|
|
|
|
def partial_token_sort_ratio(s1, s2, force_ascii=True, full_process=True):
|
|
"""Return the ratio of the most similar substring as a number between
|
|
0 and 100 but sorting the token before comparing.
|
|
"""
|
|
return _token_sort(s1, s2, partial=True, force_ascii=force_ascii, full_process=full_process)
|
|
|
|
|
|
@utils.check_for_none
|
|
def _token_set(s1, s2, partial=True, force_ascii=True, full_process=True):
|
|
"""Find all alphanumeric tokens in each string...
|
|
- treat them as a set
|
|
- construct two strings of the form:
|
|
<sorted_intersection><sorted_remainder>
|
|
- take ratios of those two strings
|
|
- controls for unordered partial matches"""
|
|
|
|
if not full_process and s1 == s2:
|
|
return 100
|
|
|
|
p1 = utils.full_process(s1, force_ascii=force_ascii) if full_process else s1
|
|
p2 = utils.full_process(s2, force_ascii=force_ascii) if full_process else s2
|
|
|
|
if not utils.validate_string(p1):
|
|
return 0
|
|
if not utils.validate_string(p2):
|
|
return 0
|
|
|
|
# pull tokens
|
|
tokens1 = set(p1.split())
|
|
tokens2 = set(p2.split())
|
|
|
|
intersection = tokens1.intersection(tokens2)
|
|
diff1to2 = tokens1.difference(tokens2)
|
|
diff2to1 = tokens2.difference(tokens1)
|
|
|
|
sorted_sect = " ".join(sorted(intersection))
|
|
sorted_1to2 = " ".join(sorted(diff1to2))
|
|
sorted_2to1 = " ".join(sorted(diff2to1))
|
|
|
|
combined_1to2 = sorted_sect + " " + sorted_1to2
|
|
combined_2to1 = sorted_sect + " " + sorted_2to1
|
|
|
|
# strip
|
|
sorted_sect = sorted_sect.strip()
|
|
combined_1to2 = combined_1to2.strip()
|
|
combined_2to1 = combined_2to1.strip()
|
|
|
|
if partial:
|
|
ratio_func = partial_ratio
|
|
else:
|
|
ratio_func = ratio
|
|
|
|
pairwise = [
|
|
ratio_func(sorted_sect, combined_1to2),
|
|
ratio_func(sorted_sect, combined_2to1),
|
|
ratio_func(combined_1to2, combined_2to1)
|
|
]
|
|
return max(pairwise)
|
|
|
|
|
|
def token_set_ratio(s1, s2, force_ascii=True, full_process=True):
|
|
return _token_set(s1, s2, partial=False, force_ascii=force_ascii, full_process=full_process)
|
|
|
|
|
|
def partial_token_set_ratio(s1, s2, force_ascii=True, full_process=True):
|
|
return _token_set(s1, s2, partial=True, force_ascii=force_ascii, full_process=full_process)
|
|
|
|
|
|
###################
|
|
# Combination API #
|
|
###################
|
|
|
|
# q is for quick
|
|
def QRatio(s1, s2, force_ascii=True, full_process=True):
|
|
"""
|
|
Quick ratio comparison between two strings.
|
|
|
|
Runs full_process from utils on both strings
|
|
Short circuits if either of the strings is empty after processing.
|
|
|
|
:param s1:
|
|
:param s2:
|
|
:param force_ascii: Allow only ASCII characters (Default: True)
|
|
:full_process: Process inputs, used here to avoid double processing in extract functions (Default: True)
|
|
:return: similarity ratio
|
|
"""
|
|
|
|
if full_process:
|
|
p1 = utils.full_process(s1, force_ascii=force_ascii)
|
|
p2 = utils.full_process(s2, force_ascii=force_ascii)
|
|
else:
|
|
p1 = s1
|
|
p2 = s2
|
|
|
|
if not utils.validate_string(p1):
|
|
return 0
|
|
if not utils.validate_string(p2):
|
|
return 0
|
|
|
|
return ratio(p1, p2)
|
|
|
|
|
|
def UQRatio(s1, s2, full_process=True):
|
|
"""
|
|
Unicode quick ratio
|
|
|
|
Calls QRatio with force_ascii set to False
|
|
|
|
:param s1:
|
|
:param s2:
|
|
:return: similarity ratio
|
|
"""
|
|
return QRatio(s1, s2, force_ascii=False, full_process=full_process)
|
|
|
|
|
|
# w is for weighted
|
|
def WRatio(s1, s2, force_ascii=True, full_process=True):
|
|
"""
|
|
Return a measure of the sequences' similarity between 0 and 100, using different algorithms.
|
|
|
|
**Steps in the order they occur**
|
|
|
|
#. Run full_process from utils on both strings
|
|
#. Short circuit if this makes either string empty
|
|
#. Take the ratio of the two processed strings (fuzz.ratio)
|
|
#. Run checks to compare the length of the strings
|
|
* If one of the strings is more than 1.5 times as long as the other
|
|
use partial_ratio comparisons - scale partial results by 0.9
|
|
(this makes sure only full results can return 100)
|
|
* If one of the strings is over 8 times as long as the other
|
|
instead scale by 0.6
|
|
|
|
#. Run the other ratio functions
|
|
* if using partial ratio functions call partial_ratio,
|
|
partial_token_sort_ratio and partial_token_set_ratio
|
|
scale all of these by the ratio based on length
|
|
* otherwise call token_sort_ratio and token_set_ratio
|
|
* all token based comparisons are scaled by 0.95
|
|
(on top of any partial scalars)
|
|
|
|
#. Take the highest value from these results
|
|
round it and return it as an integer.
|
|
|
|
:param s1:
|
|
:param s2:
|
|
:param force_ascii: Allow only ascii characters
|
|
:type force_ascii: bool
|
|
:full_process: Process inputs, used here to avoid double processing in extract functions (Default: True)
|
|
:return:
|
|
"""
|
|
|
|
if full_process:
|
|
p1 = utils.full_process(s1, force_ascii=force_ascii)
|
|
p2 = utils.full_process(s2, force_ascii=force_ascii)
|
|
else:
|
|
p1 = s1
|
|
p2 = s2
|
|
|
|
if not utils.validate_string(p1):
|
|
return 0
|
|
if not utils.validate_string(p2):
|
|
return 0
|
|
|
|
# should we look at partials?
|
|
try_partial = True
|
|
unbase_scale = .95
|
|
partial_scale = .90
|
|
|
|
base = ratio(p1, p2)
|
|
len_ratio = float(max(len(p1), len(p2))) / min(len(p1), len(p2))
|
|
|
|
# if strings are similar length, don't use partials
|
|
if len_ratio < 1.5:
|
|
try_partial = False
|
|
|
|
# if one string is much much shorter than the other
|
|
if len_ratio > 8:
|
|
partial_scale = .6
|
|
|
|
if try_partial:
|
|
partial = partial_ratio(p1, p2) * partial_scale
|
|
ptsor = partial_token_sort_ratio(p1, p2, full_process=False) \
|
|
* unbase_scale * partial_scale
|
|
ptser = partial_token_set_ratio(p1, p2, full_process=False) \
|
|
* unbase_scale * partial_scale
|
|
|
|
return utils.intr(max(base, partial, ptsor, ptser))
|
|
else:
|
|
tsor = token_sort_ratio(p1, p2, full_process=False) * unbase_scale
|
|
tser = token_set_ratio(p1, p2, full_process=False) * unbase_scale
|
|
|
|
return utils.intr(max(base, tsor, tser))
|
|
|
|
|
|
def UWRatio(s1, s2, full_process=True):
|
|
"""Return a measure of the sequences' similarity between 0 and 100,
|
|
using different algorithms. Same as WRatio but preserving unicode.
|
|
"""
|
|
return WRatio(s1, s2, force_ascii=False, full_process=full_process)
|