mirror of
https://github.com/arsenetar/dupeguru.git
synced 2024-11-18 04:59:03 +00:00
467 lines
13 KiB
Python
467 lines
13 KiB
Python
# Created By: Virgil Dupras
|
|
# Created On: 2006/03/03
|
|
# $Id$
|
|
# Copyright 2009 Hardcoded Software (http://www.hardcoded.net)
|
|
#
|
|
# This software is licensed under the "HS" License as described in the "LICENSE" file,
|
|
# which should be included with this package. The terms are also available at
|
|
# http://www.hardcoded.net/licenses/hs_license
|
|
|
|
from nose.tools import eq_
|
|
|
|
from hsutil import job
|
|
from hsutil.path import Path
|
|
|
|
from ..engine import getwords, Match
|
|
from ..ignore import IgnoreList
|
|
from ..scanner import *
|
|
|
|
class NamedObject(object):
|
|
def __init__(self, name="foobar", size=1):
|
|
self.name = name
|
|
self.size = size
|
|
self.path = Path('')
|
|
self.words = getwords(name)
|
|
|
|
|
|
no = NamedObject
|
|
|
|
#--- Scanner
|
|
def test_empty():
|
|
s = Scanner()
|
|
r = s.GetDupeGroups([])
|
|
eq_(r, [])
|
|
|
|
def test_default_settings():
|
|
s = Scanner()
|
|
eq_(s.min_match_percentage, 80)
|
|
eq_(s.scan_type, SCAN_TYPE_FILENAME)
|
|
eq_(s.mix_file_kind, True)
|
|
eq_(s.word_weighting, False)
|
|
eq_(s.match_similar_words, False)
|
|
assert isinstance(s.ignore_list, IgnoreList)
|
|
|
|
def test_simple_with_default_settings():
|
|
s = Scanner()
|
|
f = [no('foo bar'), no('foo bar'), no('foo bleh')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
g = r[0]
|
|
#'foo bleh' cannot be in the group because the default min match % is 80
|
|
eq_(len(g), 2)
|
|
assert g.ref in f[:2]
|
|
assert g.dupes[0] in f[:2]
|
|
|
|
def test_simple_with_lower_min_match():
|
|
s = Scanner()
|
|
s.min_match_percentage = 50
|
|
f = [no('foo bar'), no('foo bar'), no('foo bleh')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
g = r[0]
|
|
eq_(len(g), 3)
|
|
|
|
def test_trim_all_ref_groups():
|
|
s = Scanner()
|
|
f = [no('foo'), no('foo'), no('bar'), no('bar')]
|
|
f[2].is_ref = True
|
|
f[3].is_ref = True
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
|
|
def test_priorize():
|
|
s = Scanner()
|
|
f = [no('foo'), no('foo'), no('bar'), no('bar')]
|
|
f[1].size = 2
|
|
f[2].size = 3
|
|
f[3].is_ref = True
|
|
r = s.GetDupeGroups(f)
|
|
g1, g2 = r
|
|
assert f[1] in (g1.ref,g2.ref)
|
|
assert f[0] in (g1.dupes[0],g2.dupes[0])
|
|
assert f[3] in (g1.ref,g2.ref)
|
|
assert f[2] in (g1.dupes[0],g2.dupes[0])
|
|
|
|
def test_content_scan():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_CONTENT
|
|
f = [no('foo'), no('bar'), no('bleh')]
|
|
f[0].md5 = 'foobar'
|
|
f[1].md5 = 'foobar'
|
|
f[2].md5 = 'bleh'
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
eq_(len(r[0]), 2)
|
|
eq_(s.discarded_file_count, 0) # don't count the different md5 as discarded!
|
|
|
|
def test_content_scan_compare_sizes_first():
|
|
class MyFile(no):
|
|
@property
|
|
def md5(file):
|
|
raise AssertionError()
|
|
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_CONTENT
|
|
f = [MyFile('foo', 1), MyFile('bar', 2)]
|
|
eq_(len(s.GetDupeGroups(f)), 0)
|
|
|
|
def test_min_match_perc_doesnt_matter_for_content_scan():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_CONTENT
|
|
f = [no('foo'), no('bar'), no('bleh')]
|
|
f[0].md5 = 'foobar'
|
|
f[1].md5 = 'foobar'
|
|
f[2].md5 = 'bleh'
|
|
s.min_match_percentage = 101
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
eq_(len(r[0]), 2)
|
|
s.min_match_percentage = 0
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
eq_(len(r[0]), 2)
|
|
|
|
def test_content_scan_puts_md5_in_words_at_the_end():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_CONTENT
|
|
f = [no('foo'),no('bar')]
|
|
f[0].md5 = '\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f'
|
|
f[1].md5 = '\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f'
|
|
r = s.GetDupeGroups(f)
|
|
g = r[0]
|
|
eq_(g.ref.words, ['--'])
|
|
eq_(g.dupes[0].words, ['--'])
|
|
|
|
def test_extension_is_not_counted_in_filename_scan():
|
|
s = Scanner()
|
|
s.min_match_percentage = 100
|
|
f = [no('foo.bar'), no('foo.bleh')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
eq_(len(r[0]), 2)
|
|
|
|
def test_job():
|
|
def do_progress(progress, desc=''):
|
|
log.append(progress)
|
|
return True
|
|
|
|
s = Scanner()
|
|
log = []
|
|
f = [no('foo bar'), no('foo bar'), no('foo bleh')]
|
|
r = s.GetDupeGroups(f, job.Job(1, do_progress))
|
|
eq_(log[0], 0)
|
|
eq_(log[-1], 100)
|
|
|
|
def test_mix_file_kind():
|
|
s = Scanner()
|
|
s.mix_file_kind = False
|
|
f = [no('foo.1'), no('foo.2')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 0)
|
|
|
|
def test_word_weighting():
|
|
s = Scanner()
|
|
s.min_match_percentage = 75
|
|
s.word_weighting = True
|
|
f = [no('foo bar'), no('foo bar bleh')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
g = r[0]
|
|
m = g.get_match_of(g.dupes[0])
|
|
eq_(m.percentage, 75) # 16 letters, 12 matching
|
|
|
|
def test_similar_words():
|
|
s = Scanner()
|
|
s.match_similar_words = True
|
|
f = [no('The White Stripes'), no('The Whites Stripe'), no('Limp Bizkit'), no('Limp Bizkitt')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 2)
|
|
|
|
def test_fields():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_FIELDS
|
|
f = [no('The White Stripes - Little Ghost'), no('The White Stripes - Little Acorn')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 0)
|
|
|
|
def test_fields_no_order():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_FIELDS_NO_ORDER
|
|
f = [no('The White Stripes - Little Ghost'), no('Little Ghost - The White Stripes')]
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
|
|
def test_tag_scan():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o1.artist = 'The White Stripes'
|
|
o1.title = 'The Air Near My Fingers'
|
|
o2.artist = 'The White Stripes'
|
|
o2.title = 'The Air Near My Fingers'
|
|
r = s.GetDupeGroups([o1,o2])
|
|
eq_(len(r), 1)
|
|
|
|
def test_tag_with_album_scan():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
s.scanned_tags = set(['artist', 'album', 'title'])
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o3 = no('bleh')
|
|
o1.artist = 'The White Stripes'
|
|
o1.title = 'The Air Near My Fingers'
|
|
o1.album = 'Elephant'
|
|
o2.artist = 'The White Stripes'
|
|
o2.title = 'The Air Near My Fingers'
|
|
o2.album = 'Elephant'
|
|
o3.artist = 'The White Stripes'
|
|
o3.title = 'The Air Near My Fingers'
|
|
o3.album = 'foobar'
|
|
r = s.GetDupeGroups([o1,o2,o3])
|
|
eq_(len(r), 1)
|
|
|
|
def test_that_dash_in_tags_dont_create_new_fields():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
s.scanned_tags = set(['artist', 'album', 'title'])
|
|
s.min_match_percentage = 50
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o1.artist = 'The White Stripes - a'
|
|
o1.title = 'The Air Near My Fingers - a'
|
|
o1.album = 'Elephant - a'
|
|
o2.artist = 'The White Stripes - b'
|
|
o2.title = 'The Air Near My Fingers - b'
|
|
o2.album = 'Elephant - b'
|
|
r = s.GetDupeGroups([o1,o2])
|
|
eq_(len(r), 1)
|
|
|
|
def test_tag_scan_with_different_scanned():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
s.scanned_tags = set(['track', 'year'])
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o1.artist = 'The White Stripes'
|
|
o1.title = 'some title'
|
|
o1.track = 'foo'
|
|
o1.year = 'bar'
|
|
o2.artist = 'The White Stripes'
|
|
o2.title = 'another title'
|
|
o2.track = 'foo'
|
|
o2.year = 'bar'
|
|
r = s.GetDupeGroups([o1, o2])
|
|
eq_(len(r), 1)
|
|
|
|
def test_tag_scan_only_scans_existing_tags():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
s.scanned_tags = set(['artist', 'foo'])
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o1.artist = 'The White Stripes'
|
|
o1.foo = 'foo'
|
|
o2.artist = 'The White Stripes'
|
|
o2.foo = 'bar'
|
|
r = s.GetDupeGroups([o1, o2])
|
|
eq_(len(r), 1) # Because 'foo' is not scanned, they match
|
|
|
|
def test_tag_scan_converts_to_str():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
s.scanned_tags = set(['track'])
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o1.track = 42
|
|
o2.track = 42
|
|
try:
|
|
r = s.GetDupeGroups([o1, o2])
|
|
except TypeError:
|
|
raise AssertionError()
|
|
eq_(len(r), 1)
|
|
|
|
def test_tag_scan_non_ascii():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_TAG
|
|
s.scanned_tags = set(['title'])
|
|
o1 = no('foo')
|
|
o2 = no('bar')
|
|
o1.title = u'foobar\u00e9'
|
|
o2.title = u'foobar\u00e9'
|
|
try:
|
|
r = s.GetDupeGroups([o1, o2])
|
|
except UnicodeEncodeError:
|
|
raise AssertionError()
|
|
eq_(len(r), 1)
|
|
|
|
def test_audio_content_scan():
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_CONTENT_AUDIO
|
|
f = [no('foo'), no('bar'), no('bleh')]
|
|
f[0].md5 = 'foo'
|
|
f[1].md5 = 'bar'
|
|
f[2].md5 = 'bleh'
|
|
f[0].md5partial = 'foo'
|
|
f[1].md5partial = 'foo'
|
|
f[2].md5partial = 'bleh'
|
|
f[0].audiosize = 1
|
|
f[1].audiosize = 1
|
|
f[2].audiosize = 1
|
|
r = s.GetDupeGroups(f)
|
|
eq_(len(r), 1)
|
|
eq_(len(r[0]), 2)
|
|
|
|
def test_audio_content_scan_compare_sizes_first():
|
|
class MyFile(no):
|
|
@property
|
|
def md5partial(file):
|
|
raise AssertionError()
|
|
|
|
s = Scanner()
|
|
s.scan_type = SCAN_TYPE_CONTENT_AUDIO
|
|
f = [MyFile('foo'), MyFile('bar')]
|
|
f[0].audiosize = 1
|
|
f[1].audiosize = 2
|
|
eq_(len(s.GetDupeGroups(f)), 0)
|
|
|
|
def test_ignore_list():
|
|
s = Scanner()
|
|
f1 = no('foobar')
|
|
f2 = no('foobar')
|
|
f3 = no('foobar')
|
|
f1.path = Path('dir1/foobar')
|
|
f2.path = Path('dir2/foobar')
|
|
f3.path = Path('dir3/foobar')
|
|
s.ignore_list.Ignore(str(f1.path),str(f2.path))
|
|
s.ignore_list.Ignore(str(f1.path),str(f3.path))
|
|
r = s.GetDupeGroups([f1,f2,f3])
|
|
eq_(len(r), 1)
|
|
g = r[0]
|
|
eq_(len(g.dupes), 1)
|
|
assert f1 not in g
|
|
assert f2 in g
|
|
assert f3 in g
|
|
# Ignored matches are not counted as discarded
|
|
eq_(s.discarded_file_count, 0)
|
|
|
|
def test_ignore_list_checks_for_unicode():
|
|
#scanner was calling path_str for ignore list checks. Since the Path changes, it must
|
|
#be unicode(path)
|
|
s = Scanner()
|
|
f1 = no('foobar')
|
|
f2 = no('foobar')
|
|
f3 = no('foobar')
|
|
f1.path = Path(u'foo1\u00e9')
|
|
f2.path = Path(u'foo2\u00e9')
|
|
f3.path = Path(u'foo3\u00e9')
|
|
s.ignore_list.Ignore(unicode(f1.path),unicode(f2.path))
|
|
s.ignore_list.Ignore(unicode(f1.path),unicode(f3.path))
|
|
r = s.GetDupeGroups([f1,f2,f3])
|
|
eq_(len(r), 1)
|
|
g = r[0]
|
|
eq_(len(g.dupes), 1)
|
|
assert f1 not in g
|
|
assert f2 in g
|
|
assert f3 in g
|
|
|
|
def test_custom_match_factory():
|
|
class MatchFactory(object):
|
|
def getmatches(self, objects, j=None):
|
|
return [Match(objects[0], objects[1], 420)]
|
|
|
|
|
|
s = Scanner()
|
|
s.match_factory = MatchFactory()
|
|
o1, o2 = no('foo'), no('bar')
|
|
groups = s.GetDupeGroups([o1, o2])
|
|
eq_(len(groups), 1)
|
|
g = groups[0]
|
|
eq_(len(g), 2)
|
|
g.switch_ref(o1)
|
|
m = g.get_match_of(o2)
|
|
eq_(m, (o1, o2, 420))
|
|
|
|
def test_file_evaluates_to_false():
|
|
# A very wrong way to use any() was added at some point, causing resulting group list
|
|
# to be empty.
|
|
class FalseNamedObject(NamedObject):
|
|
def __nonzero__(self):
|
|
return False
|
|
|
|
|
|
s = Scanner()
|
|
f1 = FalseNamedObject('foobar')
|
|
f2 = FalseNamedObject('foobar')
|
|
r = s.GetDupeGroups([f1, f2])
|
|
eq_(len(r), 1)
|
|
|
|
def test_size_threshold():
|
|
# Only file equal or higher than the size_threshold in size are scanned
|
|
s = Scanner()
|
|
f1 = no('foo', 1)
|
|
f2 = no('foo', 2)
|
|
f3 = no('foo', 3)
|
|
s.size_threshold = 2
|
|
groups = s.GetDupeGroups([f1,f2,f3])
|
|
eq_(len(groups), 1)
|
|
[group] = groups
|
|
eq_(len(group), 2)
|
|
assert f1 not in group
|
|
assert f2 in group
|
|
assert f3 in group
|
|
|
|
def test_tie_breaker_path_deepness():
|
|
# If there is a tie in prioritization, path deepness is used as a tie breaker
|
|
s = Scanner()
|
|
o1, o2 = no('foo'), no('foo')
|
|
o1.path = Path('foo')
|
|
o2.path = Path('foo/bar')
|
|
[group] = s.GetDupeGroups([o1, o2])
|
|
assert group.ref is o2
|
|
|
|
def test_tie_breaker_copy():
|
|
# if copy is in the words used (even if it has a deeper path), it becomes a dupe
|
|
s = Scanner()
|
|
o1, o2 = no('foo bar Copy'), no('foo bar')
|
|
o1.path = Path('deeper/path')
|
|
o2.path = Path('foo')
|
|
[group] = s.GetDupeGroups([o1, o2])
|
|
assert group.ref is o2
|
|
|
|
def test_tie_breaker_same_name_plus_digit():
|
|
# if ref has the same words as dupe, but has some just one extra word which is a digit, it
|
|
# becomes a dupe
|
|
s = Scanner()
|
|
o1, o2 = no('foo bar 42'), no('foo bar')
|
|
o1.path = Path('deeper/path')
|
|
o2.path = Path('foo')
|
|
[group] = s.GetDupeGroups([o1, o2])
|
|
assert group.ref is o2
|
|
|
|
def test_partial_group_match():
|
|
# Count the number od discarded matches (when a file doesn't match all other dupes of the
|
|
# group) in Scanner.discarded_file_count
|
|
s = Scanner()
|
|
o1, o2, o3 = no('a b'), no('a'), no('b')
|
|
s.min_match_percentage = 50
|
|
[group] = s.GetDupeGroups([o1, o2, o3])
|
|
eq_(len(group), 2)
|
|
assert o1 in group
|
|
assert o2 in group
|
|
assert o3 not in group
|
|
eq_(s.discarded_file_count, 1)
|
|
|
|
|
|
#--- Scanner ME
|
|
def test_priorize_me():
|
|
# in ScannerME, bitrate goes first (right after is_ref) in priorization
|
|
s = ScannerME()
|
|
o1, o2 = no('foo'), no('foo')
|
|
o1.bitrate = 1
|
|
o2.bitrate = 2
|
|
[group] = s.GetDupeGroups([o1, o2])
|
|
assert group.ref is o2
|
|
|