mirror of
https://github.com/arsenetar/dupeguru.git
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470 lines
13 KiB
Python
470 lines
13 KiB
Python
# Created By: Virgil Dupras
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# Created On: 2006/03/03
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# $Id$
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# Copyright 2009 Hardcoded Software (http://www.hardcoded.net)
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#
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# This software is licensed under the "HS" License as described in the "LICENSE" file,
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# which should be included with this package. The terms are also available at
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# http://www.hardcoded.net/licenses/hs_license
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from nose.tools import eq_
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from hsutil import job
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from hsutil.path import Path
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from ..engine import getwords, Match
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from ..ignore import IgnoreList
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from ..scanner import *
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class NamedObject(object):
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def __init__(self, name="foobar", size=1):
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self.name = name
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self.size = size
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self.path = Path('')
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self.words = getwords(name)
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no = NamedObject
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#--- Scanner
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def test_empty():
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s = Scanner()
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r = s.GetDupeGroups([])
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eq_(r, [])
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def test_default_settings():
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s = Scanner()
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eq_(s.min_match_percentage, 80)
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eq_(s.scan_type, SCAN_TYPE_FILENAME)
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eq_(s.mix_file_kind, True)
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eq_(s.word_weighting, False)
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eq_(s.match_similar_words, False)
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assert isinstance(s.ignore_list, IgnoreList)
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def test_simple_with_default_settings():
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s = Scanner()
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f = [no('foo bar'), no('foo bar'), no('foo bleh')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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g = r[0]
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#'foo bleh' cannot be in the group because the default min match % is 80
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eq_(len(g), 2)
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assert g.ref in f[:2]
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assert g.dupes[0] in f[:2]
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def test_simple_with_lower_min_match():
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s = Scanner()
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s.min_match_percentage = 50
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f = [no('foo bar'), no('foo bar'), no('foo bleh')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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g = r[0]
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eq_(len(g), 3)
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def test_trim_all_ref_groups():
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# When all files of a group are ref, don't include that group in the results, but also don't
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# count the files from that group as discarded.
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s = Scanner()
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f = [no('foo'), no('foo'), no('bar'), no('bar')]
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f[2].is_ref = True
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f[3].is_ref = True
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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eq_(s.discarded_file_count, 0)
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def test_priorize():
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s = Scanner()
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f = [no('foo'), no('foo'), no('bar'), no('bar')]
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f[1].size = 2
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f[2].size = 3
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f[3].is_ref = True
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r = s.GetDupeGroups(f)
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g1, g2 = r
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assert f[1] in (g1.ref,g2.ref)
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assert f[0] in (g1.dupes[0],g2.dupes[0])
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assert f[3] in (g1.ref,g2.ref)
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assert f[2] in (g1.dupes[0],g2.dupes[0])
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def test_content_scan():
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s = Scanner()
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s.scan_type = SCAN_TYPE_CONTENT
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f = [no('foo'), no('bar'), no('bleh')]
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f[0].md5 = f[0].md5partial = 'foobar'
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f[1].md5 = f[1].md5partial = 'foobar'
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f[2].md5 = f[2].md5partial = 'bleh'
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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eq_(len(r[0]), 2)
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eq_(s.discarded_file_count, 0) # don't count the different md5 as discarded!
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def test_content_scan_compare_sizes_first():
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class MyFile(no):
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@property
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def md5(file):
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raise AssertionError()
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s = Scanner()
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s.scan_type = SCAN_TYPE_CONTENT
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f = [MyFile('foo', 1), MyFile('bar', 2)]
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eq_(len(s.GetDupeGroups(f)), 0)
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def test_min_match_perc_doesnt_matter_for_content_scan():
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s = Scanner()
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s.scan_type = SCAN_TYPE_CONTENT
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f = [no('foo'), no('bar'), no('bleh')]
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f[0].md5 = f[0].md5partial = 'foobar'
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f[1].md5 = f[1].md5partial = 'foobar'
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f[2].md5 = f[2].md5partial = 'bleh'
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s.min_match_percentage = 101
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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eq_(len(r[0]), 2)
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s.min_match_percentage = 0
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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eq_(len(r[0]), 2)
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def test_content_scan_doesnt_put_md5_in_words_at_the_end():
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s = Scanner()
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s.scan_type = SCAN_TYPE_CONTENT
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f = [no('foo'),no('bar')]
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f[0].md5 = f[0].md5partial = '\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f'
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f[1].md5 = f[1].md5partial = '\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f'
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r = s.GetDupeGroups(f)
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g = r[0]
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eq_(g.ref.words, ['--'])
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eq_(g.dupes[0].words, ['--'])
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def test_extension_is_not_counted_in_filename_scan():
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s = Scanner()
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s.min_match_percentage = 100
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f = [no('foo.bar'), no('foo.bleh')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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eq_(len(r[0]), 2)
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def test_job():
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def do_progress(progress, desc=''):
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log.append(progress)
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return True
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s = Scanner()
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log = []
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f = [no('foo bar'), no('foo bar'), no('foo bleh')]
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r = s.GetDupeGroups(f, job.Job(1, do_progress))
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eq_(log[0], 0)
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eq_(log[-1], 100)
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def test_mix_file_kind():
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s = Scanner()
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s.mix_file_kind = False
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f = [no('foo.1'), no('foo.2')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 0)
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def test_word_weighting():
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s = Scanner()
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s.min_match_percentage = 75
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s.word_weighting = True
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f = [no('foo bar'), no('foo bar bleh')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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g = r[0]
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m = g.get_match_of(g.dupes[0])
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eq_(m.percentage, 75) # 16 letters, 12 matching
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def test_similar_words():
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s = Scanner()
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s.match_similar_words = True
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f = [no('The White Stripes'), no('The Whites Stripe'), no('Limp Bizkit'), no('Limp Bizkitt')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 2)
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def test_fields():
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s = Scanner()
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s.scan_type = SCAN_TYPE_FIELDS
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f = [no('The White Stripes - Little Ghost'), no('The White Stripes - Little Acorn')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 0)
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def test_fields_no_order():
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s = Scanner()
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s.scan_type = SCAN_TYPE_FIELDS_NO_ORDER
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f = [no('The White Stripes - Little Ghost'), no('Little Ghost - The White Stripes')]
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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def test_tag_scan():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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o1 = no('foo')
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o2 = no('bar')
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o1.artist = 'The White Stripes'
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o1.title = 'The Air Near My Fingers'
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o2.artist = 'The White Stripes'
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o2.title = 'The Air Near My Fingers'
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r = s.GetDupeGroups([o1,o2])
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eq_(len(r), 1)
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def test_tag_with_album_scan():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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s.scanned_tags = set(['artist', 'album', 'title'])
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o1 = no('foo')
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o2 = no('bar')
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o3 = no('bleh')
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o1.artist = 'The White Stripes'
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o1.title = 'The Air Near My Fingers'
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o1.album = 'Elephant'
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o2.artist = 'The White Stripes'
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o2.title = 'The Air Near My Fingers'
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o2.album = 'Elephant'
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o3.artist = 'The White Stripes'
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o3.title = 'The Air Near My Fingers'
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o3.album = 'foobar'
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r = s.GetDupeGroups([o1,o2,o3])
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eq_(len(r), 1)
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def test_that_dash_in_tags_dont_create_new_fields():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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s.scanned_tags = set(['artist', 'album', 'title'])
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s.min_match_percentage = 50
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o1 = no('foo')
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o2 = no('bar')
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o1.artist = 'The White Stripes - a'
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o1.title = 'The Air Near My Fingers - a'
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o1.album = 'Elephant - a'
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o2.artist = 'The White Stripes - b'
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o2.title = 'The Air Near My Fingers - b'
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o2.album = 'Elephant - b'
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r = s.GetDupeGroups([o1,o2])
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eq_(len(r), 1)
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def test_tag_scan_with_different_scanned():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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s.scanned_tags = set(['track', 'year'])
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o1 = no('foo')
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o2 = no('bar')
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o1.artist = 'The White Stripes'
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o1.title = 'some title'
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o1.track = 'foo'
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o1.year = 'bar'
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o2.artist = 'The White Stripes'
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o2.title = 'another title'
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o2.track = 'foo'
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o2.year = 'bar'
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r = s.GetDupeGroups([o1, o2])
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eq_(len(r), 1)
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def test_tag_scan_only_scans_existing_tags():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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s.scanned_tags = set(['artist', 'foo'])
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o1 = no('foo')
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o2 = no('bar')
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o1.artist = 'The White Stripes'
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o1.foo = 'foo'
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o2.artist = 'The White Stripes'
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o2.foo = 'bar'
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r = s.GetDupeGroups([o1, o2])
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eq_(len(r), 1) # Because 'foo' is not scanned, they match
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def test_tag_scan_converts_to_str():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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s.scanned_tags = set(['track'])
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o1 = no('foo')
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o2 = no('bar')
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o1.track = 42
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o2.track = 42
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try:
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r = s.GetDupeGroups([o1, o2])
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except TypeError:
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raise AssertionError()
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eq_(len(r), 1)
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def test_tag_scan_non_ascii():
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s = Scanner()
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s.scan_type = SCAN_TYPE_TAG
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s.scanned_tags = set(['title'])
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o1 = no('foo')
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o2 = no('bar')
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o1.title = u'foobar\u00e9'
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o2.title = u'foobar\u00e9'
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try:
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r = s.GetDupeGroups([o1, o2])
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except UnicodeEncodeError:
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raise AssertionError()
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eq_(len(r), 1)
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def test_audio_content_scan():
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s = Scanner()
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s.scan_type = SCAN_TYPE_CONTENT_AUDIO
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f = [no('foo'), no('bar'), no('bleh')]
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f[0].md5 = 'foo'
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f[1].md5 = 'bar'
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f[2].md5 = 'bleh'
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f[0].md5partial = 'foo'
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f[1].md5partial = 'foo'
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f[2].md5partial = 'bleh'
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f[0].audiosize = 1
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f[1].audiosize = 1
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f[2].audiosize = 1
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r = s.GetDupeGroups(f)
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eq_(len(r), 1)
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eq_(len(r[0]), 2)
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def test_audio_content_scan_compare_sizes_first():
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class MyFile(no):
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@property
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def md5partial(file):
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raise AssertionError()
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s = Scanner()
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s.scan_type = SCAN_TYPE_CONTENT_AUDIO
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f = [MyFile('foo'), MyFile('bar')]
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f[0].audiosize = 1
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f[1].audiosize = 2
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eq_(len(s.GetDupeGroups(f)), 0)
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def test_ignore_list():
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s = Scanner()
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f1 = no('foobar')
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f2 = no('foobar')
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f3 = no('foobar')
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f1.path = Path('dir1/foobar')
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f2.path = Path('dir2/foobar')
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f3.path = Path('dir3/foobar')
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s.ignore_list.Ignore(str(f1.path),str(f2.path))
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s.ignore_list.Ignore(str(f1.path),str(f3.path))
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r = s.GetDupeGroups([f1,f2,f3])
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eq_(len(r), 1)
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g = r[0]
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eq_(len(g.dupes), 1)
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assert f1 not in g
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assert f2 in g
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assert f3 in g
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# Ignored matches are not counted as discarded
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eq_(s.discarded_file_count, 0)
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def test_ignore_list_checks_for_unicode():
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#scanner was calling path_str for ignore list checks. Since the Path changes, it must
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#be unicode(path)
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s = Scanner()
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f1 = no('foobar')
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f2 = no('foobar')
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f3 = no('foobar')
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f1.path = Path(u'foo1\u00e9')
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f2.path = Path(u'foo2\u00e9')
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f3.path = Path(u'foo3\u00e9')
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s.ignore_list.Ignore(unicode(f1.path),unicode(f2.path))
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s.ignore_list.Ignore(unicode(f1.path),unicode(f3.path))
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r = s.GetDupeGroups([f1,f2,f3])
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eq_(len(r), 1)
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g = r[0]
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eq_(len(g.dupes), 1)
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assert f1 not in g
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assert f2 in g
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assert f3 in g
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def test_custom_match_factory():
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class MatchFactory(object):
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def getmatches(self, objects, j=None):
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return [Match(objects[0], objects[1], 420)]
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s = Scanner()
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s.match_factory = MatchFactory()
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o1, o2 = no('foo'), no('bar')
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groups = s.GetDupeGroups([o1, o2])
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eq_(len(groups), 1)
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g = groups[0]
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eq_(len(g), 2)
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g.switch_ref(o1)
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m = g.get_match_of(o2)
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eq_(m, (o1, o2, 420))
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def test_file_evaluates_to_false():
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# A very wrong way to use any() was added at some point, causing resulting group list
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# to be empty.
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class FalseNamedObject(NamedObject):
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def __nonzero__(self):
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return False
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s = Scanner()
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f1 = FalseNamedObject('foobar')
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f2 = FalseNamedObject('foobar')
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r = s.GetDupeGroups([f1, f2])
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eq_(len(r), 1)
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def test_size_threshold():
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# Only file equal or higher than the size_threshold in size are scanned
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s = Scanner()
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f1 = no('foo', 1)
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f2 = no('foo', 2)
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f3 = no('foo', 3)
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s.size_threshold = 2
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groups = s.GetDupeGroups([f1,f2,f3])
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eq_(len(groups), 1)
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[group] = groups
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eq_(len(group), 2)
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assert f1 not in group
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assert f2 in group
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assert f3 in group
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def test_tie_breaker_path_deepness():
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# If there is a tie in prioritization, path deepness is used as a tie breaker
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s = Scanner()
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o1, o2 = no('foo'), no('foo')
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o1.path = Path('foo')
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o2.path = Path('foo/bar')
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[group] = s.GetDupeGroups([o1, o2])
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assert group.ref is o2
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def test_tie_breaker_copy():
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# if copy is in the words used (even if it has a deeper path), it becomes a dupe
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s = Scanner()
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o1, o2 = no('foo bar Copy'), no('foo bar')
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o1.path = Path('deeper/path')
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o2.path = Path('foo')
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[group] = s.GetDupeGroups([o1, o2])
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assert group.ref is o2
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def test_tie_breaker_same_name_plus_digit():
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# if ref has the same words as dupe, but has some just one extra word which is a digit, it
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# becomes a dupe
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s = Scanner()
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o1, o2 = no('foo bar 42'), no('foo bar')
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o1.path = Path('deeper/path')
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o2.path = Path('foo')
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[group] = s.GetDupeGroups([o1, o2])
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assert group.ref is o2
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def test_partial_group_match():
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# Count the number od discarded matches (when a file doesn't match all other dupes of the
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# group) in Scanner.discarded_file_count
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s = Scanner()
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o1, o2, o3 = no('a b'), no('a'), no('b')
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s.min_match_percentage = 50
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[group] = s.GetDupeGroups([o1, o2, o3])
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eq_(len(group), 2)
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assert o1 in group
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assert o2 in group
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assert o3 not in group
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eq_(s.discarded_file_count, 1)
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#--- Scanner ME
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def test_priorize_me():
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# in ScannerME, bitrate goes first (right after is_ref) in priorization
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s = ScannerME()
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o1, o2 = no('foo'), no('foo')
|
|
o1.bitrate = 1
|
|
o2.bitrate = 2
|
|
[group] = s.GetDupeGroups([o1, o2])
|
|
assert group.ref is o2
|
|
|