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
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
|
"""distutils.command.bdist_wininst
Implements the Distutils 'bdist_wininst' command: create a windows installer
exe-program."""
# This module should be kept compatible with Python 1.5.2.
__revision__ = "$Id$"
import sys, os, string
import base64
from distutils.core import Command
from distutils.util import get_platform
from distutils.dir_util import create_tree, remove_tree
from distutils.errors import *
from distutils import log
class bdist_wininst (Command):
description = "create an executable installer for MS Windows"
user_options = [('bdist-dir=', None,
"temporary directory for creating the distribution"),
('keep-temp', 'k',
"keep the pseudo-installation tree around after " +
"creating the distribution archive"),
('target-version=', 'v',
"require a specific python version" +
" on the target system"),
('no-target-compile', 'c',
"do not compile .py to .pyc on the target system"),
('no-target-optimize', 'o',
"do not compile .py to .pyo (optimized)"
"on the target system"),
('dist-dir=', 'd',
"directory to put final built distributions in"),
('bitmap=', 'b',
"bitmap to use for the installer instead of python-powered logo"),
('title=', 't',
"title to display on the installer background instead of default"),
('skip-build', None,
"skip rebuilding everything (for testing/debugging)"),
('install-script=', None,
"basename of installation script to be run after"
"installation or before deinstallation"),
]
boolean_options = ['keep-temp', 'no-target-compile', 'no-target-optimize',
'skip-build']
def initialize_options (self):
self.bdist_dir = None
self.keep_temp = 0
self.no_target_compile = 0
self.no_target_optimize = 0
self.target_version = None
self.dist_dir = None
self.bitmap = None
self.title = None
self.skip_build = 0
self.install_script = None
# initialize_options()
def finalize_options (self):
if self.bdist_dir is None:
bdist_base = self.get_finalized_command('bdist').bdist_base
self.bdist_dir = os.path.join(bdist_base, 'wininst')
if not self.target_version:
self.target_version = ""
if self.distribution.has_ext_modules():
short_version = get_python_version()
if self.target_version and self.target_version != short_version:
raise DistutilsOptionError, \
"target version can only be" + short_version
self.target_version = short_version
self.set_undefined_options('bdist', ('dist_dir', 'dist_dir'))
if self.install_script:
for script in self.distribution.scripts:
if self.install_script == os.path.basename(script):
break
else:
raise DistutilsOptionError, \
"install_script '%s' not found in scripts" % \
self.install_script
# finalize_options()
def run (self):
if (sys.platform != "win32" and
(self.distribution.has_ext_modules() or
self.distribution.has_c_libraries())):
raise DistutilsPlatformError \
("distribution contains extensions and/or C libraries; "
"must be compiled on a Windows 32 platform")
if not self.skip_build:
self.run_command('build')
install = self.reinitialize_command('install')
install.root = self.bdist_dir
install.skip_build = self.skip_build
install.warn_dir = 0
install_lib = self.reinitialize_command('install_lib')
# we do not want to include pyc or pyo files
install_lib.compile = 0
install_lib.optimize = 0
# Use a custom scheme for the zip-file, because we have to decide
# at installation time which scheme to use.
for key in ('purelib', 'platlib', 'headers', 'scripts', 'data'):
value = string.upper(key)
if key == 'headers':
value = value + '/Include/$dist_name'
setattr(install,
'install_' + key,
value)
log.info("installing to %s", self.bdist_dir)
install.ensure_finalized()
# avoid warning of 'install_lib' about installing
# into a directory not in sys.path
sys.path.insert(0, os.path.join(self.bdist_dir, 'PURELIB'))
install.run()
del sys.path[0]
# And make an archive relative to the root of the
# pseudo-installation tree.
from tempfile import mktemp
archive_basename = mktemp()
fullname = self.distribution.get_fullname()
arcname = self.make_archive(archive_basename, "zip",
root_dir=self.bdist_dir)
# create an exe containing the zip-file
self.create_exe(arcname, fullname, self.bitmap)
# remove the zip-file again
log.debug("removing temporary file '%s'", arcname)
os.remove(arcname)
if not self.keep_temp:
remove_tree(self.bdist_dir, dry_run=self.dry_run)
# run()
def get_inidata (self):
# Return data describing the installation.
lines = []
metadata = self.distribution.metadata
# Write the [metadata] section. Values are written with
# repr()[1:-1], so they do not contain unprintable characters, and
# are not surrounded by quote chars.
lines.append("[metadata]")
# 'info' will be displayed in the installer's dialog box,
# describing the items to be installed.
info = (metadata.long_description or '') + '\n'
for name in ["author", "author_email", "description", "maintainer",
"maintainer_email", "name", "url", "version"]:
data = getattr(metadata, name, "")
if data:
info = info + ("\n %s: %s" % \
(string.capitalize(name), data))
lines.append("%s=%s" % (name, repr(data)[1:-1]))
# The [setup] section contains entries controlling
# the installer runtime.
lines.append("\n[Setup]")
if self.install_script:
lines.append("install_script=%s" % self.install_script)
lines.append("info=%s" % repr(info)[1:-1])
lines.append("target_compile=%d" % (not self.no_target_compile))
lines.append("target_optimize=%d" % (not self.no_target_optimize))
if self.target_version:
lines.append("target_version=%s" % self.target_version)
title = self.title or self.distribution.get_fullname()
lines.append("title=%s" % repr(title)[1:-1])
import time
import distutils
build_info = "Build %s with distutils-%s" % \
(time.ctime(time.time()), distutils.__version__)
lines.append("build_info=%s" % build_info)
return string.join(lines, "\n")
# get_inidata()
def create_exe (self, arcname, fullname, bitmap=None):
import struct
self.mkpath(self.dist_dir)
cfgdata = self.get_inidata()
if self.target_version:
# if we create an installer for a specific python version,
# it's better to include this in the name
installer_name = os.path.join(self.dist_dir,
"%s.win32-py%s.exe" %
(fullname, self.target_version))
else:
installer_name = os.path.join(self.dist_dir,
"%s.win32.exe" % fullname)
self.announce("creating %s" % installer_name)
if bitmap:
bitmapdata = open(bitmap, "rb").read()
bitmaplen = len(bitmapdata)
else:
bitmaplen = 0
file = open(installer_name, "wb")
file.write(self.get_exe_bytes())
if bitmap:
file.write(bitmapdata)
file.write(cfgdata)
header = struct.pack("<iii",
0x1234567A, # tag
len(cfgdata), # length
bitmaplen, # number of bytes in bitmap
)
file.write(header)
file.write(open(arcname, "rb").read())
# create_exe()
def get_exe_bytes (self):
return base64.decodestring(EXEDATA)
# class bdist_wininst
if __name__ == '__main__':
# recreate EXEDATA from wininst.exe by rewriting this file
# If you want to do this at home, you should:
# - checkout the *distutils* source code
# (see also http://sourceforge.net/cvs/?group_id=5470)
# by doing:
# cvs -d:pserver:anonymous@cvs.python.sourceforge.net:/cvsroot/python login
# and
# cvs -z3 -d:pserver:anonymous@cvs.python.sourceforge.net:/cvsroot/python co distutils
# - Built wininst.exe from the MSVC project file distutils/misc/wininst.dsw
# - Execute this file (distutils/distutils/command/bdist_wininst.py)
import re
moddata = open("bdist_wininst.py", "r").read()
exedata = open("../../misc/wininst.exe", "rb").read()
print "wininst.exe length is %d bytes" % len(exedata)
print "wininst.exe encoded length is %d bytes" % len(base64.encodestring(exedata))
exp = re.compile('EXE'+'DATA = """\\\\(\n.*)*\n"""', re.M)
data = exp.sub('EXE' + 'DATA = """\\\\\n%s"""' %
base64.encodestring(exedata), moddata)
open("bdist_wininst.py", "w").write(data)
print "bdist_wininst.py recreated"
EXEDATA = """\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"""
# --- EOF ---
|