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277bc3fbb8
* Instead of keeping md5 samples separate, merge them as one hash computed from the various selected chunks we picked. * We don't need to keep a boolean to see whether or not the user chose to optimize; we can simply compare the value of the threshold, since 0 means no optimization currently active.
110 lines
3.9 KiB
Python
110 lines
3.9 KiB
Python
# Created By: Virgil Dupras
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# Created On: 2009-10-23
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# Copyright 2015 Hardcoded Software (http://www.hardcoded.net)
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#
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# This software is licensed under the "GPLv3" 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.gnu.org/licenses/gpl-3.0.html
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import hashlib
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from os import urandom
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from hscommon.path import Path
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from hscommon.testutil import eq_
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from core.tests.directories_test import create_fake_fs
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from .. import fs
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def create_fake_fs_with_random_data(rootpath):
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rootpath = rootpath["fs"]
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rootpath.mkdir()
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rootpath["dir1"].mkdir()
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rootpath["dir2"].mkdir()
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rootpath["dir3"].mkdir()
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fp = rootpath["file1.test"].open("wb")
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data1 = urandom(200 * 1024) # 200KiB
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data2 = urandom(1024 * 1024) # 1MiB
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data3 = urandom(10 * 1024 * 1024) # 10MiB
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fp.write(data1)
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fp.close()
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fp = rootpath["file2.test"].open("wb")
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fp.write(data2)
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fp.close()
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fp = rootpath["file3.test"].open("wb")
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fp.write(data3)
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fp.close()
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fp = rootpath["dir1"]["file1.test"].open("wb")
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fp.write(data1)
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fp.close()
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fp = rootpath["dir2"]["file2.test"].open("wb")
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fp.write(data2)
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fp.close()
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fp = rootpath["dir3"]["file3.test"].open("wb")
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fp.write(data3)
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fp.close()
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return rootpath
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def test_size_aggregates_subfiles(tmpdir):
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p = create_fake_fs(Path(str(tmpdir)))
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b = fs.Folder(p)
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eq_(b.size, 12)
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def test_md5_aggregate_subfiles_sorted(tmpdir):
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# dir.allfiles can return child in any order. Thus, bundle.md5 must aggregate
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# all files' md5 it contains, but it must make sure that it does so in the
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# same order everytime.
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p = create_fake_fs_with_random_data(Path(str(tmpdir)))
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b = fs.Folder(p)
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md51 = fs.File(p["dir1"]["file1.test"]).md5
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md52 = fs.File(p["dir2"]["file2.test"]).md5
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md53 = fs.File(p["dir3"]["file3.test"]).md5
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md54 = fs.File(p["file1.test"]).md5
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md55 = fs.File(p["file2.test"]).md5
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md56 = fs.File(p["file3.test"]).md5
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# The expected md5 is the md5 of md5s for folders and the direct md5 for files
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folder_md51 = hashlib.md5(md51).digest()
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folder_md52 = hashlib.md5(md52).digest()
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folder_md53 = hashlib.md5(md53).digest()
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md5 = hashlib.md5(folder_md51 + folder_md52 + folder_md53 + md54 + md55 + md56)
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eq_(b.md5, md5.digest())
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def test_partial_md5_aggregate_subfile_sorted(tmpdir):
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p = create_fake_fs_with_random_data(Path(str(tmpdir)))
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b = fs.Folder(p)
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md51 = fs.File(p["dir1"]["file1.test"]).md5partial
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md52 = fs.File(p["dir2"]["file2.test"]).md5partial
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md53 = fs.File(p["dir3"]["file3.test"]).md5partial
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md54 = fs.File(p["file1.test"]).md5partial
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md55 = fs.File(p["file2.test"]).md5partial
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md56 = fs.File(p["file3.test"]).md5partial
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# The expected md5 is the md5 of md5s for folders and the direct md5 for files
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folder_md51 = hashlib.md5(md51).digest()
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folder_md52 = hashlib.md5(md52).digest()
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folder_md53 = hashlib.md5(md53).digest()
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md5 = hashlib.md5(folder_md51 + folder_md52 + folder_md53 + md54 + md55 + md56)
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eq_(b.md5partial, md5.digest())
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md51 = fs.File(p["dir1"]["file1.test"]).md5samples
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md52 = fs.File(p["dir2"]["file2.test"]).md5samples
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md53 = fs.File(p["dir3"]["file3.test"]).md5samples
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md54 = fs.File(p["file1.test"]).md5samples
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md55 = fs.File(p["file2.test"]).md5samples
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md56 = fs.File(p["file3.test"]).md5samples
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# The expected md5 is the md5 of md5s for folders and the direct md5 for files
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folder_md51 = hashlib.md5(md51).digest()
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folder_md52 = hashlib.md5(md52).digest()
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folder_md53 = hashlib.md5(md53).digest()
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md5 = hashlib.md5(folder_md51 + folder_md52 + folder_md53 + md54 + md55 + md56)
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eq_(b.md5samples, md5.digest())
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def test_has_file_attrs(tmpdir):
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# a Folder must behave like a file, so it must have mtime attributes
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b = fs.Folder(Path(str(tmpdir)))
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assert b.mtime > 0
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eq_(b.extension, "")
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