1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
|
#!/usr/bin/env python3
# -*- Coding: UTF-8 -*-
# ---------------------------------------------------------------------------
# Open Asset Import Library (ASSIMP)
# ---------------------------------------------------------------------------
#
# Copyright (c) 2006-2020, ASSIMP Development Team
#
# All rights reserved.
#
# Redistribution and use of this software in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# * Redistributions of source code must retain the above
# copyright notice, this list of conditions and the
# following disclaimer.
#
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the
# following disclaimer in the documentation and/or other
# materials provided with the distribution.
#
# * Neither the name of the ASSIMP team, nor the names of its
# contributors may be used to endorse or promote products
# derived from this software without specific prior
# written permission of the ASSIMP Development Team.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# ---------------------------------------------------------------------------
"""
Run the regression test suite using settings from settings.py.
The assimp_cmd (or assimp) binary to use is specified by the first
command line argument and defaults to ``assimp``.
To build, set ``ASSIMP_BUILD_ASSIMP_TOOLS=ON`` in CMake. If generating
configs for an IDE, make sure to build the assimp_cmd project.
On Windows, use ``py run.py <path to assimp>`` to make sure the command
line parameter is forwarded to the script.
"""
import sys
import os
import subprocess
import zipfile
import collections
import multiprocessing
import settings
import utils
# -------------------------------------------------------------------------------
EXPECTED_FAILURE_NOT_MET, DATABASE_LENGTH_MISMATCH, \
DATABASE_VALUE_MISMATCH, IMPORT_FAILURE, \
FILE_NOT_READABLE, COMPARE_SUCCESS, EXPECTED_FAILURE = range(7)
messages = collections.defaultdict(lambda: "<unknown", {
EXPECTED_FAILURE_NOT_MET:
"""Unexpected success during import\n\
\tReturn code was 0""",
DATABASE_LENGTH_MISMATCH:
"""Database mismatch: lengths don't match\n\
\tExpected: {0} Actual: {1}""",
DATABASE_VALUE_MISMATCH:
"""Database mismatch: """,
IMPORT_FAILURE:
"""Unexpected failure during import\n\
\tReturn code was {0}""",
FILE_NOT_READABLE:
"""Unexpected failure reading file""",
COMPARE_SUCCESS:
"""Results match archived reference dump in database\n\
\tNumber of bytes compared: {0}""",
EXPECTED_FAILURE:
"""Expected failure was met.""",
})
outfilename_output = "run_regression_suite_output.txt"
outfilename_failur = "run_regression_suite_failures.csv"
Environment = {}
# -------------------------------------------------------------------------------
class results:
""" Handle formatting of results"""
def __init__(self, zipin):
"""Init, given a ZIPed database """
self.failures = []
self.success = []
self.zipin = zipin
def fail(self, failfile, filename_expect, pp, msg, *args):
"""
Report failure of a sub-test
File f failed a test for pp config pp, failure notice is msg,
*args is format()ting args for msg
"""
print("[FAILURE] " + messages[msg].format(*args))
self.failures.append((failfile, filename_expect, pp))
def ok(self, f, pp, msg, *args):
"""
Report success of a sub-test
File f passed the test, msg is a happy success note,
*args is format()ing args for msg.
"""
print("[SUCCESS] " + messages[msg].format(*args))
self.success.append(f)
def report_results(self):
"""Write results to ../results/run_regression_suite_failures.txt"""
count_success = len(self.success)
count_fail = len(self.failures)
percent_good = float(count_success) / (count_success + count_fail)
print("\n" + ('='*60) + "\n" + "SUCCESS: {0}\nFAILURE: {1}\nPercentage good: {2}".format(
count_success, count_fail, percent_good) +
"\n" + ('='*60) + "\n")
with open(os.path.join('..', 'results',outfilename_failur), "wt") as f:
f.write("ORIGINAL FILE;EXPECTED DUMP\n")
f.writelines(map(
lambda x: x[0] + ' ' + x[2] + ";" + x[1] + "\n", self.failures))
if self.failures:
print("\nSee " + settings.results + "\\" + outfilename_failur
+ " for more details\n\n")
def hasFailures( self ):
""" Return True, if any failures there. """
return 0 != len( self.failures )
# -------------------------------------------------------------------------------
def setEnvVar( var, value ):
print ( "set var " + var +" to" + value)
Environment[ var ] = value
# -------------------------------------------------------------------------------
def getEnvVar( var ):
if var in Environment:
return Environment[ var ]
else:
print ( "Error: cannot find " + var )
return ""
# -------------------------------------------------------------------------------
def prepare_output_dir(fullpath, myhash, app):
outfile = os.path.join(settings.results, "tmp", os.path.split(fullpath)[1] + "_" + myhash)
try:
os.mkdir(outfile)
except OSError:
pass
outfile = os.path.join(outfile, app)
return outfile
# -------------------------------------------------------------------------------
def process_dir(d, outfile_results, zipin, result ):
shellparams = {'stdout':outfile_results, 'stderr':outfile_results, 'shell':False}
print("Processing directory " + d)
all = ""
for f in sorted(os.listdir(d)):
fullpath = os.path.join(d, f)
if os.path.isdir(fullpath) and not f[:1] == '.':
process_dir(fullpath, outfile_results, zipin, result)
continue
if f in settings.files_to_ignore or os.path.splitext(f)[1] in settings.exclude_extensions:
print("Ignoring " + f)
return
for pppreset in settings.pp_configs_to_test:
filehash = utils.hashing(fullpath, pppreset)
failure = False
try:
input_expected = zipin.open(filehash, "r").read()
# empty dump files indicate 'expected import failure'
if not len(input_expected):
failure = True
except KeyError:
# TODO(acgessler): Keep track of this and report as error in the end.
print("Didn't find "+fullpath+" (Hash is "+filehash+") in database. Outdated "+\
"regression database? Use gen_db.zip to re-generate.")
continue
print("-"*60 + "\n " + os.path.realpath(fullpath) + " pp: " + pppreset)
outfile_actual = prepare_output_dir(fullpath, filehash, "ACTUAL")
outfile_expect = prepare_output_dir(fullpath, filehash, "EXPECT")
outfile_results.write("assimp dump "+"-"*80+"\n")
outfile_results.flush()
assimp_bin_path = getEnvVar("assimp_path")
command = [assimp_bin_path,
"dump",
fullpath, outfile_actual, "-b", "-s", "-l" ] +\
pppreset.split()
print( "command = " + str( command ) )
r = subprocess.call(command, **shellparams)
outfile_results.flush()
if r and not failure:
result.fail(fullpath, outfile_expect, pppreset, IMPORT_FAILURE, r)
outfile_results.write("Failed to import\n")
continue
elif failure and not r:
result.fail(fullpath, outfile_expect, pppreset, EXPECTED_FAILURE_NOT_MET)
outfile_results.write("Expected import to fail\n")
continue
elif failure and r:
result.ok(fullpath, pppreset, EXPECTED_FAILURE)
outfile_results.write("Failed as expected, skipping.\n")
continue
with open(outfile_expect, "wb") as s:
s.write(input_expected)
try:
with open(outfile_actual, "rb") as s:
input_actual = s.read()
except IOError:
continue
outfile_results.write("Expected data length: {0}\n".format(len(input_expected)))
outfile_results.write("Actual data length: {0}\n".format(len(input_actual)))
failed = False
if len(input_expected) != len(input_actual):
result.fail(fullpath, outfile_expect, pppreset, DATABASE_LENGTH_MISMATCH,
len(input_expected), len(input_actual))
# Still compare the dumps to see what the difference is
failed = True
outfile_results.write("assimp cmpdump "+"-"*80+"\n")
outfile_results.flush()
command = [ assimp_bin_path, 'cmpdump', outfile_actual, outfile_expect ]
if subprocess.call(command, **shellparams) != 0:
if not failed:
result.fail(fullpath, outfile_expect, pppreset, DATABASE_VALUE_MISMATCH)
continue
result.ok(fullpath, pppreset, COMPARE_SUCCESS, len(input_expected))
# -------------------------------------------------------------------------------
def del_folder_with_contents(folder):
for root, dirs, files in os.walk(folder, topdown=False):
for name in files:
os.remove(os.path.join(root, name))
for name in dirs:
os.rmdir(os.path.join(root, name))
# -------------------------------------------------------------------------------
def run_test():
tmp_target_path = os.path.join(settings.results, "tmp")
try:
print( "try to make " + tmp_target_path )
os.mkdir(tmp_target_path)
except OSError as oerr:
# clear contents if tmp folder exists already
del_folder_with_contents(tmp_target_path)
try:
zipin = zipfile.ZipFile(settings.database_name + ".zip",
"r", zipfile.ZIP_STORED)
except IOError:
print("Regression database ", settings.database_name,
".zip was not found")
return
res = results(zipin)
with open(os.path.join(settings.results, outfilename_output), "wt") as outfile:
for tp in settings.model_directories:
process_dir(tp, outfile, zipin, res)
res.report_results()
if res.hasFailures():
return 1
return 0
# -------------------------------------------------------------------------------
if __name__ == "__main__":
if len(sys.argv) > 1:
assimp_bin_path = sys.argv[1]
else:
assimp_bin_path = 'assimp'
setEnvVar("assimp_path", assimp_bin_path)
print('Using assimp binary: ' + assimp_bin_path)
sys.exit( run_test() )
# vim: ai ts=4 sts=4 et sw=4
|