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Squashed commit of the following: 

commit 5eb515f666bfa1ff06c2e96bdc351a4b7456580e
Author: Andrew Senetar <arsenetar@gmail.com>
Date:   Sun Mar 27 22:19:39 2022 -0500

    Add fallback to md5 if xxhash not available

    Mainly here for the case when distributions have not packaged python3-xxhash.

commit 51b18d4c84
Author: Andrew Senetar <arsenetar@gmail.com>
Date:   Sat Mar 19 15:25:46 2022 -0500

    Switch file hashing to xxhash instead of md5

    - Improves performance significantly in some cases
    - Add xxhash to requirements.txt and sort requirements
    - Rename md5 based members to digest
    - Update all tests to use new member names and hashing methods
    - Update hash db code to upgrade schema

    NOTE: May consider supporting multiple hashing algorithms in the future.
This commit is contained in:
Andrew Senetar 2022-03-27 22:27:13 -05:00
parent 86bf9b39d0
commit 9f40e4e786
Signed by: arsenetar
GPG Key ID: C63300DCE48AB2F1
10 changed files with 212 additions and 180 deletions
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10
core/engine.py
View File

@ -283,7 +283,7 @@ def getmatches_by_contents(files, bigsize=0, j=job.nulljob):
"""Returns a list of :class:`Match` within ``files`` if their contents is the same.
:param bigsize: The size in bytes over which we consider files big enough to
justify taking samples of md5. If 0, compute md5 as usual.
justify taking samples of the file for hashing. If 0, compute digest as usual.
:param j: A :ref:`job progress instance <jobs>`.
"""
size2files = defaultdict(set)
@ -300,15 +300,15 @@ def getmatches_by_contents(files, bigsize=0, j=job.nulljob):
if first.is_ref and second.is_ref:
continue # Don't spend time comparing two ref pics together.
if first.size == 0 and second.size == 0:
# skip md5 for zero length files
# skip hashing for zero length files
result.append(Match(first, second, 100))
continue
if first.md5partial == second.md5partial:
if first.digest_partial == second.digest_partial:
if bigsize > 0 and first.size > bigsize:
if first.md5samples == second.md5samples:
if first.digest_samples == second.digest_samples:
result.append(Match(first, second, 100))
else:
if first.md5 == second.md5:
if first.digest == second.digest:
result.append(Match(first, second, 100))
group_count += 1
j.add_progress(desc=PROGRESS_MESSAGE % (len(result), group_count))

178
core/fs.py
View File

@ -11,12 +11,22 @@
# resulting needless complexity and memory usage. It's been a while since I wanted to do that fork,
# and I'm doing it now.
import hashlib
import os
try:
import xxhash
hasher = xxhash.xxh128
except ImportError:
import hashlib
hasher = hashlib.md5
from math import floor
import logging
import sqlite3
from threading import Lock
from typing import Any
from typing import Any, AnyStr, Union
from hscommon.path import Path
from hscommon.util import nonone, get_file_ext
@ -40,7 +50,7 @@ NOT_SET = object()
# CPU.
CHUNK_SIZE = 1024 * 1024 # 1 MiB
# Minimum size below which partial hashes don't need to be computed
# Minimum size below which partial hashing is not used
MIN_FILE_SIZE = 3 * CHUNK_SIZE # 3MiB, because we take 3 samples
@ -83,9 +93,11 @@ class OperationError(FSError):
class FilesDB:
schema_version = 1
schema_version_description = "Changed from md5 to xxhash if available."
create_table_query = "CREATE TABLE IF NOT EXISTS files (path TEXT PRIMARY KEY, size INTEGER, mtime_ns INTEGER, entry_dt DATETIME, md5 BLOB, md5partial BLOB)"
drop_table_query = "DROP TABLE files;"
create_table_query = "CREATE TABLE IF NOT EXISTS files (path TEXT PRIMARY KEY, size INTEGER, mtime_ns INTEGER, entry_dt DATETIME, digest BLOB, digest_partial BLOB, digest_samples BLOB)"
drop_table_query = "DROP TABLE IF EXISTS files;"
select_query = "SELECT {key} FROM files WHERE path=:path AND size=:size and mtime_ns=:mtime_ns"
insert_query = """
INSERT INTO files (path, size, mtime_ns, entry_dt, {key}) VALUES (:path, :size, :mtime_ns, datetime('now'), :value)
@ -97,24 +109,37 @@ class FilesDB:
self.cur = None
self.lock = None
def connect(self, path):
# type: (str, ) -> None
def connect(self, path: Union[AnyStr, os.PathLike]) -> None:
self.conn = sqlite3.connect(path, check_same_thread=False)
self.cur = self.conn.cursor()
self.cur.execute(self.create_table_query)
self.lock = Lock()
self._check_upgrade()
def clear(self):
# type: () -> None
def _check_upgrade(self) -> None:
with self.lock:
has_schema = self.cur.execute(
"SELECT NAME FROM sqlite_master WHERE type='table' AND name='schema_version'"
).fetchall()
version = None
if has_schema:
version = self.cur.execute("SELECT version FROM schema_version ORDER BY version DESC").fetchone()[0]
else:
self.cur.execute("CREATE TABLE schema_version (version int PRIMARY KEY, description TEXT)")
if version != self.schema_version:
self.cur.execute(self.drop_table_query)
self.cur.execute(
"INSERT OR REPLACE INTO schema_version VALUES (:version, :description)",
{"version": self.schema_version, "description": self.schema_version_description},
)
self.cur.execute(self.create_table_query)
self.conn.commit()
def clear(self) -> None:
with self.lock:
self.cur.execute(self.drop_table_query)
self.cur.execute(self.create_table_query)
def get(self, path, key):
# type: (Path, str) -> bytes
def get(self, path: Path, key: str) -> Union[bytes, None]:
stat = path.stat()
size = stat.st_size
mtime_ns = stat.st_mtime_ns
@ -128,9 +153,7 @@ class FilesDB:
return None
def put(self, path, key, value):
# type: (Path, str, Any) -> None
def put(self, path: Path, key: str, value: Any) -> None:
stat = path.stat()
size = stat.st_size
mtime_ns = stat.st_mtime_ns
@ -141,15 +164,11 @@ class FilesDB:
{"path": str(path), "size": size, "mtime_ns": mtime_ns, "value": value},
)
def commit(self):
# type: () -> None
def commit(self) -> None:
with self.lock:
self.conn.commit()
def close(self):
# type: () -> None
def close(self) -> None:
with self.lock:
self.cur.close()
self.conn.close()
@ -161,7 +180,7 @@ filesdb = FilesDB() # Singleton
class File:
"""Represents a file and holds metadata to be used for scanning."""
INITIAL_INFO = {"size": 0, "mtime": 0, "md5": b"", "md5partial": b"", "md5samples": b""}
INITIAL_INFO = {"size": 0, "mtime": 0, "digest": b"", "digest_partial": b"", "digest_samples": b""}
# Slots for File make us save quite a bit of memory. In a memory test I've made with a lot of
# files, I saved 35% memory usage with "unread" files (no _read_info() call) and gains become
# even greater when we take into account read attributes (70%!). Yeah, it's worth it.
@ -187,32 +206,51 @@ class File:
result = self.INITIAL_INFO[attrname]
return result
def _calc_md5(self):
def _calc_digest(self):
# type: () -> bytes
with self.path.open("rb") as fp:
md5 = hashlib.md5()
file_hash = hasher()
# The goal here is to not run out of memory on really big files. However, the chunk
# size has to be large enough so that the python loop isn't too costly in terms of
# CPU.
CHUNK_SIZE = 1024 * 1024 # 1 mb
filedata = fp.read(CHUNK_SIZE)
while filedata:
md5.update(filedata)
file_hash.update(filedata)
filedata = fp.read(CHUNK_SIZE)
return md5.digest()
return file_hash.digest()
def _calc_md5partial(self):
def _calc_digest_partial(self):
# type: () -> bytes
# This offset is where we should start reading the file to get a partial md5
# This offset is where we should start reading the file to get a partial hash
# For audio file, it should be where audio data starts
offset, size = (0x4000, 0x4000)
with self.path.open("rb") as fp:
fp.seek(offset)
partialdata = fp.read(size)
return hashlib.md5(partialdata).digest()
partial_data = fp.read(size)
return hasher(partial_data).digest()
def _calc_digest_samples(self) -> bytes:
size = self.size
with self.path.open("rb") as fp:
# Chunk at 25% of the file
fp.seek(floor(size * 25 / 100), 0)
file_data = fp.read(CHUNK_SIZE)
file_hash = hasher(file_data)
# Chunk at 60% of the file
fp.seek(floor(size * 60 / 100), 0)
file_data = fp.read(CHUNK_SIZE)
file_hash.update(file_data)
# Last chunk of the file
fp.seek(-CHUNK_SIZE, 2)
file_data = fp.read(CHUNK_SIZE)
file_hash.update(file_data)
return file_hash.digest()
def _read_info(self, field):
# print(f"_read_info({field}) for {self}")
@ -220,48 +258,35 @@ class File:
stats = self.path.stat()
self.size = nonone(stats.st_size, 0)
self.mtime = nonone(stats.st_mtime, 0)
elif field == "md5partial":
elif field == "digest_partial":
try:
self.md5partial = filesdb.get(self.path, "md5partial")
if self.md5partial is None:
self.md5partial = self._calc_md5partial()
filesdb.put(self.path, "md5partial", self.md5partial)
self.digest_partial = filesdb.get(self.path, "digest_partial")
if self.digest_partial is None:
self.digest_partial = self._calc_digest_partial()
filesdb.put(self.path, "digest_partial", self.digest_partial)
except Exception as e:
logging.warning("Couldn't get md5partial for %s: %s", self.path, e)
elif field == "md5":
logging.warning("Couldn't get digest_partial for %s: %s", self.path, e)
elif field == "digest":
try:
self.md5 = filesdb.get(self.path, "md5")
if self.md5 is None:
self.md5 = self._calc_md5()
filesdb.put(self.path, "md5", self.md5)
self.digest = filesdb.get(self.path, "digest")
if self.digest is None:
self.digest = self._calc_digest()
filesdb.put(self.path, "digest", self.digest)
except Exception as e:
logging.warning("Couldn't get md5 for %s: %s", self.path, e)
elif field == "md5samples":
logging.warning("Couldn't get digest for %s: %s", self.path, e)
elif field == "digest_samples":
size = self.size
# Might as well hash such small files entirely.
if size <= MIN_FILE_SIZE:
setattr(self, field, self.digest)
return
try:
with self.path.open("rb") as fp:
size = self.size
# Might as well hash such small files entirely.
if size <= MIN_FILE_SIZE:
setattr(self, field, self.md5)
return
# Chunk at 25% of the file
fp.seek(floor(size * 25 / 100), 0)
filedata = fp.read(CHUNK_SIZE)
md5 = hashlib.md5(filedata)
# Chunk at 60% of the file
fp.seek(floor(size * 60 / 100), 0)
filedata = fp.read(CHUNK_SIZE)
md5.update(filedata)
# Last chunk of the file
fp.seek(-CHUNK_SIZE, 2)
filedata = fp.read(CHUNK_SIZE)
md5.update(filedata)
setattr(self, field, md5.digest())
self.digest_samples = filesdb.get(self.path, "digest_samples")
if self.digest_samples is None:
self.digest_samples = self._calc_digest_samples()
filesdb.put(self.path, "digest_samples", self.digest_samples)
except Exception as e:
logging.error(f"Error computing md5samples: {e}")
logging.warning(f"Couldn't get digest_samples for {self.path}: {e}")
def _read_all_info(self, attrnames=None):
"""Cache all possible info.
@ -314,7 +339,7 @@ class File:
class Folder(File):
"""A wrapper around a folder path.
It has the size/md5 info of a File, but its value is the sum of its subitems.
It has the size/digest info of a File, but its value is the sum of its subitems.
"""
__slots__ = File.__slots__ + ("_subfolders",)
@ -335,19 +360,18 @@ class Folder(File):
self.size = size
stats = self.path.stat()
self.mtime = nonone(stats.st_mtime, 0)
elif field in {"md5", "md5partial", "md5samples"}:
elif field in {"digest", "digest_partial", "digest_samples"}:
# What's sensitive here is that we must make sure that subfiles'
# md5 are always added up in the same order, but we also want a
# different md5 if a file gets moved in a different subdirectory.
# digest are always added up in the same order, but we also want a
# different digest if a file gets moved in a different subdirectory.
def get_dir_md5_concat():
def get_dir_digest_concat():
items = self._all_items()
items.sort(key=lambda f: f.path)
md5s = [getattr(f, field) for f in items]
return b"".join(md5s)
digests = [getattr(f, field) for f in items]
return b"".join(digests)
md5 = hashlib.md5(get_dir_md5_concat())
digest = md5.digest()
digest = hasher(get_dir_digest_concat()).digest()
setattr(self, field, digest)
@property

5
core/me/fs.py
View File

@ -97,11 +97,6 @@ class MusicFile(fs.File):
"dupe_count": format_dupe_count(dupe_count),
}
def _get_md5partial_offset_and_size(self):
# No longer calculating the offset and audio size, just whole file
size = self.path.stat().st_size
return (0, size)
def _read_info(self, field):
fs.File._read_info(self, field)
if field in TAG_FIELDS:

2
core/pe/matchblock.py
View File

@ -238,7 +238,7 @@ def getmatches(pictures, cache_path, threshold, match_scaled=False, j=job.nulljo
for ref_id, other_id, percentage in myiter:
ref = id2picture[ref_id]
other = id2picture[other_id]
if percentage == 100 and ref.md5 != other.md5:
if percentage == 100 and ref.digest != other.digest:
percentage = 99
if percentage >= threshold:
ref.dimensions # pre-read dimensions for display in results

6
core/tests/base.py
View File

@ -86,9 +86,9 @@ class NamedObject:
folder = "basepath"
self._folder = Path(folder)
self.size = size
self.md5partial = name
self.md5 = name
self.md5samples = name
self.digest_partial = name
self.digest = name
self.digest_samples = name
if with_words:
self.words = getwords(name)
self.is_ref = False

16
core/tests/engine_test.py
View File

@ -530,7 +530,7 @@ class TestCaseGetMatches:
class TestCaseGetMatchesByContents:
def test_big_file_partial_hashes(self):
def test_big_file_partial_hashing(self):
smallsize = 1
bigsize = 100 * 1024 * 1024 # 100MB
f = [
@ -539,17 +539,17 @@ class TestCaseGetMatchesByContents:
no("smallfoo", size=smallsize),
no("smallbar", size=smallsize),
]
f[0].md5 = f[0].md5partial = f[0].md5samples = "foobar"
f[1].md5 = f[1].md5partial = f[1].md5samples = "foobar"
f[2].md5 = f[2].md5partial = "bleh"
f[3].md5 = f[3].md5partial = "bleh"
f[0].digest = f[0].digest_partial = f[0].digest_samples = "foobar"
f[1].digest = f[1].digest_partial = f[1].digest_samples = "foobar"
f[2].digest = f[2].digest_partial = "bleh"
f[3].digest = f[3].digest_partial = "bleh"
r = getmatches_by_contents(f, bigsize=bigsize)
eq_(len(r), 2)
# User disabled optimization for big files, compute hashes as usual
# User disabled optimization for big files, compute digests as usual
r = getmatches_by_contents(f, bigsize=0)
eq_(len(r), 2)
# Other file is now slightly different, md5partial is still the same
f[1].md5 = f[1].md5samples = "foobardiff"
# Other file is now slightly different, digest_partial is still the same
f[1].digest = f[1].digest_samples = "foobardiff"
r = getmatches_by_contents(f, bigsize=bigsize)
# Successfully filter it out
eq_(len(r), 1)

90
core/tests/fs_test.py
View File

@ -6,7 +6,15 @@
# which should be included with this package. The terms are also available at
# http://www.gnu.org/licenses/gpl-3.0.html
import hashlib
try:
import xxhash
hasher = xxhash.xxh128
except ImportError:
import hashlib
hasher = hashlib.md5
from os import urandom
from hscommon.path import Path
@ -52,54 +60,54 @@ def test_size_aggregates_subfiles(tmpdir):
eq_(b.size, 12)
def test_md5_aggregate_subfiles_sorted(tmpdir):
# dir.allfiles can return child in any order. Thus, bundle.md5 must aggregate
# all files' md5 it contains, but it must make sure that it does so in the
def test_digest_aggregate_subfiles_sorted(tmpdir):
# dir.allfiles can return child in any order. Thus, bundle.digest must aggregate
# all files' digests it contains, but it must make sure that it does so in the
# same order everytime.
p = create_fake_fs_with_random_data(Path(str(tmpdir)))
b = fs.Folder(p)
md51 = fs.File(p["dir1"]["file1.test"]).md5
md52 = fs.File(p["dir2"]["file2.test"]).md5
md53 = fs.File(p["dir3"]["file3.test"]).md5
md54 = fs.File(p["file1.test"]).md5
md55 = fs.File(p["file2.test"]).md5
md56 = fs.File(p["file3.test"]).md5
# The expected md5 is the md5 of md5s for folders and the direct md5 for files
folder_md51 = hashlib.md5(md51).digest()
folder_md52 = hashlib.md5(md52).digest()
folder_md53 = hashlib.md5(md53).digest()
md5 = hashlib.md5(folder_md51 + folder_md52 + folder_md53 + md54 + md55 + md56)
eq_(b.md5, md5.digest())
digest1 = fs.File(p["dir1"]["file1.test"]).digest
digest2 = fs.File(p["dir2"]["file2.test"]).digest
digest3 = fs.File(p["dir3"]["file3.test"]).digest
digest4 = fs.File(p["file1.test"]).digest
digest5 = fs.File(p["file2.test"]).digest
digest6 = fs.File(p["file3.test"]).digest
# The expected digest is the hash of digests for folders and the direct digest for files
folder_digest1 = hasher(digest1).digest()
folder_digest2 = hasher(digest2).digest()
folder_digest3 = hasher(digest3).digest()
digest = hasher(folder_digest1 + folder_digest2 + folder_digest3 + digest4 + digest5 + digest6).digest()
eq_(b.digest, digest)
def test_partial_md5_aggregate_subfile_sorted(tmpdir):
def test_partial_digest_aggregate_subfile_sorted(tmpdir):
p = create_fake_fs_with_random_data(Path(str(tmpdir)))
b = fs.Folder(p)
md51 = fs.File(p["dir1"]["file1.test"]).md5partial
md52 = fs.File(p["dir2"]["file2.test"]).md5partial
md53 = fs.File(p["dir3"]["file3.test"]).md5partial
md54 = fs.File(p["file1.test"]).md5partial
md55 = fs.File(p["file2.test"]).md5partial
md56 = fs.File(p["file3.test"]).md5partial
# The expected md5 is the md5 of md5s for folders and the direct md5 for files
folder_md51 = hashlib.md5(md51).digest()
folder_md52 = hashlib.md5(md52).digest()
folder_md53 = hashlib.md5(md53).digest()
md5 = hashlib.md5(folder_md51 + folder_md52 + folder_md53 + md54 + md55 + md56)
eq_(b.md5partial, md5.digest())
digest1 = fs.File(p["dir1"]["file1.test"]).digest_partial
digest2 = fs.File(p["dir2"]["file2.test"]).digest_partial
digest3 = fs.File(p["dir3"]["file3.test"]).digest_partial
digest4 = fs.File(p["file1.test"]).digest_partial
digest5 = fs.File(p["file2.test"]).digest_partial
digest6 = fs.File(p["file3.test"]).digest_partial
# The expected digest is the hash of digests for folders and the direct digest for files
folder_digest1 = hasher(digest1).digest()
folder_digest2 = hasher(digest2).digest()
folder_digest3 = hasher(digest3).digest()
digest = hasher(folder_digest1 + folder_digest2 + folder_digest3 + digest4 + digest5 + digest6).digest()
eq_(b.digest_partial, digest)
md51 = fs.File(p["dir1"]["file1.test"]).md5samples
md52 = fs.File(p["dir2"]["file2.test"]).md5samples
md53 = fs.File(p["dir3"]["file3.test"]).md5samples
md54 = fs.File(p["file1.test"]).md5samples
md55 = fs.File(p["file2.test"]).md5samples
md56 = fs.File(p["file3.test"]).md5samples
# The expected md5 is the md5 of md5s for folders and the direct md5 for files
folder_md51 = hashlib.md5(md51).digest()
folder_md52 = hashlib.md5(md52).digest()
folder_md53 = hashlib.md5(md53).digest()
md5 = hashlib.md5(folder_md51 + folder_md52 + folder_md53 + md54 + md55 + md56)
eq_(b.md5samples, md5.digest())
digest1 = fs.File(p["dir1"]["file1.test"]).digest_samples
digest2 = fs.File(p["dir2"]["file2.test"]).digest_samples
digest3 = fs.File(p["dir3"]["file3.test"]).digest_samples
digest4 = fs.File(p["file1.test"]).digest_samples
digest5 = fs.File(p["file2.test"]).digest_samples
digest6 = fs.File(p["file3.test"]).digest_samples
# The expected digest is the digest of digests for folders and the direct digest for files
folder_digest1 = hasher(digest1).digest()
folder_digest2 = hasher(digest2).digest()
folder_digest3 = hasher(digest3).digest()
digest = hasher(folder_digest1 + folder_digest2 + folder_digest3 + digest4 + digest5 + digest6).digest()
eq_(b.digest_samples, digest)
def test_has_file_attrs(tmpdir):

74
core/tests/scanner_test.py
View File

@ -123,19 +123,19 @@ def test_content_scan(fake_fileexists):
s = Scanner()
s.scan_type = ScanType.CONTENTS
f = [no("foo"), no("bar"), no("bleh")]
f[0].md5 = f[0].md5partial = f[0].md5samples = "foobar"
f[1].md5 = f[1].md5partial = f[1].md5samples = "foobar"
f[2].md5 = f[2].md5partial = f[1].md5samples = "bleh"
f[0].digest = f[0].digest_partial = f[0].digest_samples = "foobar"
f[1].digest = f[1].digest_partial = f[1].digest_samples = "foobar"
f[2].digest = f[2].digest_partial = f[1].digest_samples = "bleh"
r = s.get_dupe_groups(f)
eq_(len(r), 1)
eq_(len(r[0]), 2)
eq_(s.discarded_file_count, 0) # don't count the different md5 as discarded!
eq_(s.discarded_file_count, 0) # don't count the different digest as discarded!
def test_content_scan_compare_sizes_first(fake_fileexists):
class MyFile(no):
@property
def md5(self):
def digest(self):
raise AssertionError()
s = Scanner()
@ -161,14 +161,14 @@ def test_ignore_file_size(fake_fileexists):
no("largeignore1", large_size + 1),
no("largeignore2", large_size + 1),
]
f[0].md5 = f[0].md5partial = f[0].md5samples = "smallignore"
f[1].md5 = f[1].md5partial = f[1].md5samples = "smallignore"
f[2].md5 = f[2].md5partial = f[2].md5samples = "small"
f[3].md5 = f[3].md5partial = f[3].md5samples = "small"
f[4].md5 = f[4].md5partial = f[4].md5samples = "large"
f[5].md5 = f[5].md5partial = f[5].md5samples = "large"
f[6].md5 = f[6].md5partial = f[6].md5samples = "largeignore"
f[7].md5 = f[7].md5partial = f[7].md5samples = "largeignore"
f[0].digest = f[0].digest_partial = f[0].digest_samples = "smallignore"
f[1].digest = f[1].digest_partial = f[1].digest_samples = "smallignore"
f[2].digest = f[2].digest_partial = f[2].digest_samples = "small"
f[3].digest = f[3].digest_partial = f[3].digest_samples = "small"
f[4].digest = f[4].digest_partial = f[4].digest_samples = "large"
f[5].digest = f[5].digest_partial = f[5].digest_samples = "large"
f[6].digest = f[6].digest_partial = f[6].digest_samples = "largeignore"
f[7].digest = f[7].digest_partial = f[7].digest_samples = "largeignore"
r = s.get_dupe_groups(f)
# No ignores
@ -197,21 +197,21 @@ def test_big_file_partial_hashes(fake_fileexists):
s.big_file_size_threshold = bigsize
f = [no("bigfoo", bigsize), no("bigbar", bigsize), no("smallfoo", smallsize), no("smallbar", smallsize)]
f[0].md5 = f[0].md5partial = f[0].md5samples = "foobar"
f[1].md5 = f[1].md5partial = f[1].md5samples = "foobar"
f[2].md5 = f[2].md5partial = "bleh"
f[3].md5 = f[3].md5partial = "bleh"
f[0].digest = f[0].digest_partial = f[0].digest_samples = "foobar"
f[1].digest = f[1].digest_partial = f[1].digest_samples = "foobar"
f[2].digest = f[2].digest_partial = "bleh"
f[3].digest = f[3].digest_partial = "bleh"
r = s.get_dupe_groups(f)
eq_(len(r), 2)
# md5partial is still the same, but the file is actually different
f[1].md5 = f[1].md5samples = "difffoobar"
# here we compare the full md5s, as the user disabled the optimization
# digest_partial is still the same, but the file is actually different
f[1].digest = f[1].digest_samples = "difffoobar"
# here we compare the full digests, as the user disabled the optimization
s.big_file_size_threshold = 0
r = s.get_dupe_groups(f)
eq_(len(r), 1)
# here we should compare the md5samples, and see they are different
# here we should compare the digest_samples, and see they are different
s.big_file_size_threshold = bigsize
r = s.get_dupe_groups(f)
eq_(len(r), 1)
@ -221,9 +221,9 @@ def test_min_match_perc_doesnt_matter_for_content_scan(fake_fileexists):
s = Scanner()
s.scan_type = ScanType.CONTENTS
f = [no("foo"), no("bar"), no("bleh")]
f[0].md5 = f[0].md5partial = f[0].md5samples = "foobar"
f[1].md5 = f[1].md5partial = f[1].md5samples = "foobar"
f[2].md5 = f[2].md5partial = f[2].md5samples = "bleh"
f[0].digest = f[0].digest_partial = f[0].digest_samples = "foobar"
f[1].digest = f[1].digest_partial = f[1].digest_samples = "foobar"
f[2].digest = f[2].digest_partial = f[2].digest_samples = "bleh"
s.min_match_percentage = 101
r = s.get_dupe_groups(f)
eq_(len(r), 1)
@ -234,12 +234,16 @@ def test_min_match_perc_doesnt_matter_for_content_scan(fake_fileexists):
eq_(len(r[0]), 2)
def test_content_scan_doesnt_put_md5_in_words_at_the_end(fake_fileexists):
def test_content_scan_doesnt_put_digest_in_words_at_the_end(fake_fileexists):
s = Scanner()
s.scan_type = ScanType.CONTENTS
f = [no("foo"), no("bar")]
f[0].md5 = f[0].md5partial = f[0].md5samples = "\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f"
f[1].md5 = f[1].md5partial = f[1].md5samples = "\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f"
f[0].digest = f[0].digest_partial = f[
0
].digest_samples = "\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f"
f[1].digest = f[1].digest_partial = f[
1
].digest_samples = "\x00\x01\x02\x03\x04\x05\x06\x07\x08\x09\x0a\x0b\x0c\x0d\x0e\x0f"
r = s.get_dupe_groups(f)
# FIXME looks like we are missing something here?
r[0]
@ -587,21 +591,21 @@ def test_folder_scan_exclude_subfolder_matches(fake_fileexists):
s = Scanner()
s.scan_type = ScanType.FOLDERS
topf1 = no("top folder 1", size=42)
topf1.md5 = topf1.md5partial = topf1.md5samples = b"some_md5_1"
topf1.digest = topf1.digest_partial = topf1.digest_samples = b"some_digest__1"
topf1.path = Path("/topf1")
topf2 = no("top folder 2", size=42)
topf2.md5 = topf2.md5partial = topf2.md5samples = b"some_md5_1"
topf2.digest = topf2.digest_partial = topf2.digest_samples = b"some_digest__1"
topf2.path = Path("/topf2")
subf1 = no("sub folder 1", size=41)
subf1.md5 = subf1.md5partial = subf1.md5samples = b"some_md5_2"
subf1.digest = subf1.digest_partial = subf1.digest_samples = b"some_digest__2"
subf1.path = Path("/topf1/sub")
subf2 = no("sub folder 2", size=41)
subf2.md5 = subf2.md5partial = subf2.md5samples = b"some_md5_2"
subf2.digest = subf2.digest_partial = subf2.digest_samples = b"some_digest__2"
subf2.path = Path("/topf2/sub")
eq_(len(s.get_dupe_groups([topf1, topf2, subf1, subf2])), 1) # only top folders
# however, if another folder matches a subfolder, keep in in the matches
otherf = no("other folder", size=41)
otherf.md5 = otherf.md5partial = otherf.md5samples = b"some_md5_2"
otherf.digest = otherf.digest_partial = otherf.digest_samples = b"some_digest__2"
otherf.path = Path("/otherfolder")
eq_(len(s.get_dupe_groups([topf1, topf2, subf1, subf2, otherf])), 2)
@ -624,9 +628,9 @@ def test_dont_count_ref_files_as_discarded(fake_fileexists):
o1 = no("foo", path="p1")
o2 = no("foo", path="p2")
o3 = no("foo", path="p3")
o1.md5 = o1.md5partial = o1.md5samples = "foobar"
o2.md5 = o2.md5partial = o2.md5samples = "foobar"
o3.md5 = o3.md5partial = o3.md5samples = "foobar"
o1.digest = o1.digest_partial = o1.digest_samples = "foobar"
o2.digest = o2.digest_partial = o2.digest_samples = "foobar"
o3.digest = o3.digest_partial = o3.digest_samples = "foobar"
o1.is_ref = True
o2.is_ref = True
eq_(len(s.get_dupe_groups([o1, o2, o3])), 1)

10
requirements.txt
View File

@ -1,8 +1,8 @@
Send2Trash>=1.3.0
sphinx>=3.0.0
polib>=1.1.0
mutagen>=1.44.0
distro>=1.5.0
mutagen>=1.44.0
PyQt5 >=5.14.1,<6.0; sys_platform != 'linux'
pywin32>=228; sys_platform == 'win32'
semantic-version>=2.0.0,<3.0.0
semantic-version>=2.0.0,<3.0.0
Send2Trash>=1.3.0
sphinx>=3.0.0
xxhash>=3.0.0,<4.0.0

1
setup.cfg
View File

@ -35,6 +35,7 @@ install_requires =
PyQt5 >=5.14.1,<6.0; sys_platform != 'linux'
pywin32>=228; sys_platform == 'win32'
semantic-version>=2.0.0,<3.0.0
xxhash>=3.0.0,<4.0.0
setup_requires =
sphinx>=3.0.0
polib>=1.1.0