How can I use the Perl module from Python?

Question

There is a Perl module that provides perfect functionality for my Python application. Is there any way to use it? (it’s complicated , it will take me a month to port it)

I do not want to run a subprocess for each use, since I need it several hundred thousand times (this is a specific type of data analyzer).

Thank you for your advice.

EDIT: requested module. This is Mail :: DeliveryStatus :: BounceParser . It corresponds to mail delivery notifications in the list of lines, which may indicate a rebound of mail. (It runs DSN body / headers through a ton of regular expressions as well as other tests. This is a serious awesome module.)

Answer 1

I'm not sure if this is still active, but PyPerl might interest you

• http://wiki.python.org/moin/PyPerl

Most data parsers in python should still be supported. It would be nice if you could point to the parser you are looking at.

Alternatively, you can create a complete process with this perl module and use IPC mechanisms, sockets to transfer data and results back and forth from your python and perl processes.

Answer 2

I know that you can use Python in Perl with Inline::Python , but that is not your question. Python may have similar functionality. Perhaps something like perlmodule ?

Answer 3

I would use something like HTTP :: Server :: Simple to create a local web service. Then you just need to make requests against this. This is still an external process, but it is only one.

Answer 4

I do not want to run a subprocess for each use, since I need it several hundred thousand times (this is a special type of data analyzer).

Bad politics. Linux base shells do this deployment process all the time. Preventing spawning is a bad limitation.

However, you can do this trivially.

 python prepare_data.py | perl my_magic_module.pl | python whatever_else.py 

Wrap your magic module in a simple perl script that reads from stdin, does the magic thing, and writes to stdout.

Divide your Python into two parts: the part is done before the perl call and the part that is executed after the perl call.

Assemble a high-performance conveyor that (a) performs all three steps at the same time and (b) does not develop many processes.

This, BTW, will also use your every core.