Your CLI app might work on Windows

[jquast]

If you just update blessed, it may support Windows, at least the blessed library now does.

Best wishes,

jq

[Koed00]

There is no limit on which version of blessed you can run.
The requirements.txt is only used to install dependecies for the tests, it doesn't affect your pip install.
Since I don't really have a windows environment it is hard for me to test this, but let me know if you can get it to work.

[jquast]

I think it is just some (small?) problem in the "self.sentinel" process starting, a threaded lock object fails to serialize for the child process, which makes perfect sense, but i can't trace what this lock object is so far, I've studied much and it isn't obvious, perhaps some IDE and breakpoints on WIndows will help identify it.

If this doesn't open a can of worms, maybe I can fix it for you

(ENV38) C:\Users\blessed\django-proj\locallibrary>python manage.py qcluster
Traceback (most recent call last):
  File "manage.py", line 21, in <module>
    main()
  File "manage.py", line 17, in main
    execute_from_command_line(sys.argv)
  File "C:\Users\blessed\ENV38\lib\site-packages\django\core\management\__init__.py", line 401, in execute_from_command_line
    utility.execute()
  File "C:\Users\blessed\ENV38\lib\site-packages\django\core\management\__init__.py", line 395, in execute
    self.fetch_command(subcommand).run_from_argv(self.argv)
  File "C:\Users\blessed\ENV38\lib\site-packages\django\core\management\base.py", line 328, in run_from_argv
    self.execute(*args, **cmd_options)
  File "C:\Users\blessed\ENV38\lib\site-packages\django\core\management\base.py", line 369, in execute
    output = self.handle(*args, **options)
  File "C:\Users\blessed\ENV38\lib\site-packages\django_q\management\commands\qcluster.py", line 22, in handle
    q.start()
  File "C:\Users\blessed\ENV38\lib\site-packages\django_q\cluster.py", line 65, in start
    self.sentinel.start()
  File "C:\Python38\lib\multiprocessing\process.py", line 121, in start
    self._popen = self._Popen(self)
  File "C:\Python38\lib\multiprocessing\context.py", line 224, in _Popen
    return _default_context.get_context().Process._Popen(process_obj)
  File "C:\Python38\lib\multiprocessing\context.py", line 326, in _Popen
    return Popen(process_obj)
  File "C:\Python38\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
    reduction.dump(process_obj, to_child)
  File "C:\Python38\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
TypeError: cannot pickle '_thread.lock' object

(ENV38) C:\Users\blessed\django-proj\locallibrary>Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "C:\Python38\lib\multiprocessing\spawn.py", line 102, in spawn_main
    source_process = _winapi.OpenProcess(
OSError: [WinError 87] The parameter is incorrect

[Koed00]

Interestingly some users on MacOS have been seeing the same error #389

[Koed00]

https://bugs.python.org/issue29168 might be related

[Koed00]

Moving thread lock issues to #424