Python Fire – Generates CLIs from any Python object

Re:Python Fire – Generates CLIs from any Python object by ramses0 on Friday August 17, 2018 @05:28PM (#17785658)

Click makes python attractive for CLI's. It is far better than bash and perl for simple stuff. Fire looks useful for hacks but Click has been excellently intuitive for me.

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Re:Python Fire – Generates CLIs from any Python object by slobotron on Saturday August 18, 2018 @01:32AM (#17787021)

Perl6 has nice builtin cli construction from method definitions and doc comments

    cat > cli.pl6

    #| Duplicates without frobnication
    multi sub MAIN( 'duplicate', Int $times, Str $text ) {
      say $text x $times;
    }
    
    #| Frobnicates up to a limit
    multi sub MAIN('frobnicate', Int :$length = 24, Bool :v(:$verbose))
    {
        say 'Verbosity ', ($verbose ?? 'on' !! 'off');
    }


    perl6 cli.pl
    Usage:
      cli.pl6 duplicate <times> <text> -- Duplicates without frobnication
      cli.pl6 [--length=<Int>] [-v|--verbose] frobnicate -- Frobnicates up to a limit


    perl6 cli.pl6 duplicate 3 blah...
    blah...blah...blah...

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Re:Python Fire – Generates CLIs from any Python object by vultour on Friday August 17, 2018 @05:40PM (#17785699)

The builtin argparse module is also really easy to use for simple stuff.

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Re:Python Fire – Generates CLIs from any Python object by m_ke on Friday August 17, 2018 @05:52PM (#17785740)

It's ok but for some scripts it ends up being half of the code and you end up with a script that's dealing with an opaque args object.

Here's a decent example of this https://github.com/pytorch/examples/blob/master/imagenet/mai...

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Re:Python Fire – Generates CLIs from any Python object by heavenlyblue on Friday August 17, 2018 @06:06PM (#17785795)

Could you solve ghat with click much easier? This seems mostly related to various flags set up, which would need to exist in the code anyway.

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Re:Python Fire – Generates CLIs from any Python object by m_ke on Friday August 17, 2018 @06:26PM (#17785869)

I'm saying that this should really be a function like

    def train(
      data: File,
      arch='resnet18',
      workers=4,
      epochs=90,
      start_epoch=0,
      batch_size=256,
      learning_rate=0.9,
      momentum=1e-4,
  ):
    ...

that could be exposed as a cli if __name__ is main but otherwise can be imported in a notebook or another script.

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