mirror of
https://github.com/arsenetar/dupeguru.git
synced 2024-11-16 20:29:02 +00:00
b1ef3dc8fe
We now get less progress feedback, but in exchange, our progress job is simpler. Previously, our progress bar would often get wonky towards the end of the scan and I didn't have the energy to debug that. Besides, people don't care about that level of progress feedback.
197 lines
8.3 KiB
Python
197 lines
8.3 KiB
Python
# Copyright 2016 Hardcoded Software (http://www.hardcoded.net)
|
|
#
|
|
# This software is licensed under the "GPLv3" License as described in the "LICENSE" file,
|
|
# which should be included with this package. The terms are also available at
|
|
# http://www.gnu.org/licenses/gpl-3.0.html
|
|
|
|
import logging
|
|
import re
|
|
import os.path as op
|
|
from collections import namedtuple
|
|
|
|
from hscommon.jobprogress import job
|
|
from hscommon.util import dedupe, rem_file_ext, get_file_ext
|
|
from hscommon.trans import tr
|
|
|
|
from . import engine
|
|
|
|
# It's quite ugly to have scan types from all editions all put in the same class, but because there's
|
|
# there will be some nasty bugs popping up (ScanType is used in core when in should exclusively be
|
|
# used in core_*). One day I'll clean this up.
|
|
|
|
class ScanType:
|
|
Filename = 0
|
|
Fields = 1
|
|
FieldsNoOrder = 2
|
|
Tag = 3
|
|
Folders = 4
|
|
Contents = 5
|
|
|
|
#PE
|
|
FuzzyBlock = 10
|
|
ExifTimestamp = 11
|
|
|
|
ScanOption = namedtuple('ScanOption', 'scan_type label')
|
|
|
|
SCANNABLE_TAGS = ['track', 'artist', 'album', 'title', 'genre', 'year']
|
|
|
|
RE_DIGIT_ENDING = re.compile(r'\d+|\(\d+\)|\[\d+\]|{\d+}')
|
|
|
|
def is_same_with_digit(name, refname):
|
|
# Returns True if name is the same as refname, but with digits (with brackets or not) at the end
|
|
if not name.startswith(refname):
|
|
return False
|
|
end = name[len(refname):].strip()
|
|
return RE_DIGIT_ENDING.match(end) is not None
|
|
|
|
def remove_dupe_paths(files):
|
|
# Returns files with duplicates-by-path removed. Files with the exact same path are considered
|
|
# duplicates and only the first file to have a path is kept. In certain cases, we have files
|
|
# that have the same path, but not with the same case, that's why we normalize. However, we also
|
|
# have case-sensitive filesystems, and in those, we don't want to falsely remove duplicates,
|
|
# that's why we have a `samefile` mechanism.
|
|
result = []
|
|
path2file = {}
|
|
for f in files:
|
|
normalized = str(f.path).lower()
|
|
if normalized in path2file:
|
|
try:
|
|
if op.samefile(normalized, str(path2file[normalized].path)):
|
|
continue # same file, it's a dupe
|
|
else:
|
|
pass # We don't treat them as dupes
|
|
except OSError:
|
|
continue # File doesn't exist? Well, treat them as dupes
|
|
else:
|
|
path2file[normalized] = f
|
|
result.append(f)
|
|
return result
|
|
|
|
class Scanner:
|
|
def __init__(self):
|
|
self.discarded_file_count = 0
|
|
|
|
def _getmatches(self, files, j):
|
|
if self.size_threshold or self.scan_type in {ScanType.Contents, ScanType.Folders}:
|
|
j = j.start_subjob([2, 8])
|
|
for f in j.iter_with_progress(files, tr("Read size of %d/%d files")):
|
|
f.size # pre-read, makes a smoother progress if read here (especially for bundles)
|
|
if self.size_threshold:
|
|
files = [f for f in files if f.size >= self.size_threshold]
|
|
if self.scan_type in {ScanType.Contents, ScanType.Folders}:
|
|
return engine.getmatches_by_contents(files, j=j)
|
|
else:
|
|
j = j.start_subjob([2, 8])
|
|
kw = {}
|
|
kw['match_similar_words'] = self.match_similar_words
|
|
kw['weight_words'] = self.word_weighting
|
|
kw['min_match_percentage'] = self.min_match_percentage
|
|
if self.scan_type == ScanType.FieldsNoOrder:
|
|
self.scan_type = ScanType.Fields
|
|
kw['no_field_order'] = True
|
|
func = {
|
|
ScanType.Filename: lambda f: engine.getwords(rem_file_ext(f.name)),
|
|
ScanType.Fields: lambda f: engine.getfields(rem_file_ext(f.name)),
|
|
ScanType.Tag: lambda f: [
|
|
engine.getwords(str(getattr(f, attrname)))
|
|
for attrname in SCANNABLE_TAGS
|
|
if attrname in self.scanned_tags
|
|
],
|
|
}[self.scan_type]
|
|
for f in j.iter_with_progress(files, tr("Read metadata of %d/%d files")):
|
|
logging.debug("Reading metadata of %s", f.path)
|
|
f.words = func(f)
|
|
return engine.getmatches(files, j=j, **kw)
|
|
|
|
@staticmethod
|
|
def _key_func(dupe):
|
|
return -dupe.size
|
|
|
|
@staticmethod
|
|
def _tie_breaker(ref, dupe):
|
|
refname = rem_file_ext(ref.name).lower()
|
|
dupename = rem_file_ext(dupe.name).lower()
|
|
if 'copy' in dupename:
|
|
return False
|
|
if 'copy' in refname:
|
|
return True
|
|
if is_same_with_digit(dupename, refname):
|
|
return False
|
|
if is_same_with_digit(refname, dupename):
|
|
return True
|
|
return len(dupe.path) > len(ref.path)
|
|
|
|
@staticmethod
|
|
def get_scan_options():
|
|
"""Returns a list of scanning options for this scanner.
|
|
|
|
Returns a list of ``ScanOption``.
|
|
"""
|
|
raise NotImplementedError()
|
|
|
|
def get_dupe_groups(self, files, ignore_list=None, j=job.nulljob):
|
|
for f in (f for f in files if not hasattr(f, 'is_ref')):
|
|
f.is_ref = False
|
|
files = remove_dupe_paths(files)
|
|
logging.info("Getting matches. Scan type: %d", self.scan_type)
|
|
matches = self._getmatches(files, j)
|
|
logging.info('Found %d matches' % len(matches))
|
|
j.set_progress(100, tr("Almost done! Fiddling with results..."))
|
|
# In removing what we call here "false matches", we first want to remove, if we scan by
|
|
# folders, we want to remove folder matches for which the parent is also in a match (they're
|
|
# "duplicated duplicates if you will). Then, we also don't want mixed file kinds if the
|
|
# option isn't enabled, we want matches for which both files exist and, lastly, we don't
|
|
# want matches with both files as ref.
|
|
if self.scan_type == ScanType.Folders and matches:
|
|
allpath = {m.first.path for m in matches}
|
|
allpath |= {m.second.path for m in matches}
|
|
sortedpaths = sorted(allpath)
|
|
toremove = set()
|
|
last_parent_path = sortedpaths[0]
|
|
for p in sortedpaths[1:]:
|
|
if p in last_parent_path:
|
|
toremove.add(p)
|
|
else:
|
|
last_parent_path = p
|
|
matches = [m for m in matches if m.first.path not in toremove or m.second.path not in toremove]
|
|
if not self.mix_file_kind:
|
|
matches = [m for m in matches if get_file_ext(m.first.name) == get_file_ext(m.second.name)]
|
|
matches = [m for m in matches if m.first.path.exists() and m.second.path.exists()]
|
|
matches = [m for m in matches if not (m.first.is_ref and m.second.is_ref)]
|
|
if ignore_list:
|
|
matches = [
|
|
m for m in matches
|
|
if not ignore_list.AreIgnored(str(m.first.path), str(m.second.path))
|
|
]
|
|
logging.info('Grouping matches')
|
|
groups = engine.get_groups(matches)
|
|
if self.scan_type in {ScanType.Filename, ScanType.Fields, ScanType.FieldsNoOrder, ScanType.Tag}:
|
|
matched_files = dedupe([m.first for m in matches] + [m.second for m in matches])
|
|
self.discarded_file_count = len(matched_files) - sum(len(g) for g in groups)
|
|
else:
|
|
# Ticket #195
|
|
# To speed up the scan, we don't bother comparing contents of files that are both ref
|
|
# files. However, this messes up "discarded" counting because there's a missing match
|
|
# in cases where we end up with a dupe group anyway (with a non-ref file). Because it's
|
|
# impossible to have discarded matches in exact dupe scans, we simply set it at 0, thus
|
|
# bypassing our tricky problem.
|
|
# Also, although ScanType.FuzzyBlock is not always doing exact comparisons, we also
|
|
# bypass ref comparison, thus messing up with our "discarded" count. So we're
|
|
# effectively disabling the "discarded" feature in PE, but it's better than falsely
|
|
# reporting discarded matches.
|
|
self.discarded_file_count = 0
|
|
groups = [g for g in groups if any(not f.is_ref for f in g)]
|
|
logging.info('Created %d groups' % len(groups))
|
|
for g in groups:
|
|
g.prioritize(self._key_func, self._tie_breaker)
|
|
return groups
|
|
|
|
match_similar_words = False
|
|
min_match_percentage = 80
|
|
mix_file_kind = True
|
|
scan_type = ScanType.Filename
|
|
scanned_tags = {'artist', 'title'}
|
|
size_threshold = 0
|
|
word_weighting = False
|
|
|