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
|
"""distutils.command.bdist_wininst
Implements the Distutils 'bdist_wininst' command: create a windows installer
exe-program."""
# created 2000/06/02, Thomas Heller
__revision__ = "$Id$"
import sys, os, string
from distutils.core import Command
from distutils.util import get_platform
from distutils.dir_util import create_tree, remove_tree
from distutils.errors import *
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)"),
]
boolean_options = ['keep-temp']
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
# 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 = sys.version[:3]
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'))
# 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_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)
self.announce("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
self.announce("removing temporary file '%s'" % arcname)
os.remove(arcname)
if not self.keep_temp:
remove_tree(self.bdist_dir, self.verbose, 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]")
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):
import base64
return base64.decodestring(EXEDATA)
# class bdist_wininst
if __name__ == '__main__':
# recreate EXEDATA from wininst.exe by rewriting this file
import re, base64
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 ---
|
