On Sep 4, 9:29 pm, kj <no.em...@please.post> wrote:
> I'm looking for the "best-practice" way to define application-global
> read-only switches, settable from the command line. The best
> example I can think of of such global switch is the built-in variable
> __debug__. This variable is visible everywhere in a program, and
> broadly affects its operation.
>
> The situation that prompts this question is the task of implementing
> a certain application that is supposed to run for several days
> (typically 2-3 weeks). It is important to be able to re-start this
> application where it left off in case that, for some reason (e.g.
> internet connection failure), it terminates prematurely. When this
> application is restarted its behavior is somewhat different from
> when it is started from scratch. (For example, when it is re-started,
> it does not clear certain directories.)
>
> Hence, I'd like to be able to have a variable, e.g. CONTINUATION_MODE,
> visible everywhere in the code, that tells the application to behave
> in "continuation mode", so that I can write stuff like
>
> if not CONTINUATION_MODE:
> clean_the_slate()
>
> The only solution I can come up with is to define a "dummy module",
> say _config.py, which contains only upper-case variables representing
> these global switches, and is imported by all the other modules in
> the application with the line "from _config import *". During the
> early stages of the run, the script inspects the command-line flags,
> and if it finds a --continuing flag, it sets the variable
> _config.CONTINUATION_MODE to True. (The last point implies that
> these variables are not strictly speaking read-only, since they
> most be set at the beginning of the run. But after this initial
> setting, they should remain read-only.)
>
> I'm sure this would work OK, but I wonder if there is a more Pythonic
> way to do this sort of thing. Is there a best practice for setting
> such application-global switches?
>
> TIA!
>
> kynn
while 1:
try:
run_main_code()
cleanup()
except:
while conn_fail():
time.sleep(5.0)
finally:
cleanup_all()
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