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On Mon, 22 Apr 2019 at 21:26, Slawek Kaplonski <skaplons at redhat.com> wrote:

> Hi,
>
> Thanks. It looks really interesting :)
>
> On Mon, Apr 22, 2019 at 11:51:49AM -0500, Ben Nemec wrote:
> >
> >
> > On 4/22/19 8:32 AM, Artom Lifshitz wrote:
> > > tl;dr Instead of debugging with LOG.debug and/or print() statements
> > > all over the place, use the pysnooper decorator [1].
> > >
> > > I came across this on Hacker News this morning - if you're like me and
> > > are too lazy to invest in learning a real debugger, and instead do it
> > > with LOG.debug/print()s all over the place, pysnooper might be useful
> > > to you. This line from the README feels particularly relevant to me ;)
> >
> > I'm going to mildly object to the characterization of print and log
> > debugging as "lazy". I've spent plenty of time in debuggers over the
> years
> > and in many cases I just prefer a simple print over stepping through a
> huge
> > number of lines of code. Both debugging techniques have their place and
> > nobody should feel bad because they chose one over the other.
> >
>
> Exactly. Imagine debugging e.g. some race condition issue. Using simple
> prints
> may be much better in such case to find out what is going on wrong there :)
>
Which is exactly what I was looking for a few days ago, when trying to
track down what could end in a (rare) test failure.
It looks very interesting indeed, and seems to work fine on first tests!

>
> > >
> > > > What makes PySnooper stand out from all other code intelligence
> tools?
> > > > You can use it in your sh***y, sprawling enterprise codebase without
> having
> > > > to do any setup.
> > >
> > > I tried it out with a random Nova unit test by decorating the function
> > > being tested, and it gave me the expected analysis of how the function
> > > executed.
> > >
> > > Just sharing this, I hope it might be useful to someone :)
> >
> > I've starred it. It looks a bit like bash's xtrace on steroids, which is
> > something I use quite a lot when debugging bash scripts.
> >
> > >
> > > [1] https://github.com/cool-RR/pysnooper
> > >
> >
>
> --
> Slawek Kaplonski
> Senior software engineer
> Red Hat
>
>

-- 
Bernard Cafarelli
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