Skip to main content

practical python one-liners

Project description

Python Oneliner

This module improves Python's usefulness as a tool for writing shell one-liners. A brief usage example:

# show line numbers
python -m oneliner -ne '"%5d: %s" % (NR, _)' < input.txt

# convert unix timestamp to something more human readable
date +%s | pyl -j ' => ' -line '_, datetime.datetime.fromtimestamp(int(_))'
# 1355256353 => 2012-12-11 22:05:53

# triple space a file
pyl -ne 'line + "\n"*2' < input.txt

# double space only non-blank lines:
pyl -ne '_ if re.match("^$", _) else _+"\n"' input.txt

Why?

Python is a wonderful general purpose scripting language with a great breadth of excellent libraries. While the simplicity of its syntax is often cited as a major strong point, I believe that the negative attitude towards any kind of syntax magic has prevented Python from becoming a useful tool for writing shell one-liners. When stacked against the likes of Ruby and Perl, Python is ill-equipped to be a part of a shell pipeline. Writing one-liners is possible, but their verbosity makes them impractical. This may be attributed to the following factors:

  1. Lack of a read-print-loop command line option. Ruby and Perl provide the -n and -p switches that makes them assume the following loop around code:

    for line in sys.stdin:
        <code>
        if '-p' in options:
            sys.stdout.write(line)
    
  2. No syntax magic and no special variables. Ruby and Perl provide a multitude of cryptic, yet useful variables such as:

    $_   last input line
    $.   current input line number
    $~   the match object returned by the last successful pattern match
    $&   the string matched by last successful pattern match
    $3   the string matched by the 3rd group of the last successful pattern match
    $*   sys.argv
    $>   sys.stdout (default output file)
    $<   sys.stdint (default input file)
    $;   input field separator (default value to str.split())
    $/   record separator (os.linesep)
    $$   os.getpid()
    

    Please refer to English.rb and English.pm for more information.

  3. Lack of a flexible command line import mechanism. For example, Perl has the -M options:

    perl -MDigest::MD5=md5_hex  => from Digest::MD5 import md5_hex
    perl -MDigest::MD5          => import Digest::MD5
    

    While the CPython interpreter has the -m switch, it is not suitable for the task at hand. For example, the following one-liner will run random's test suite, instead of printing a random number:

    python -m random -c "print(random.randint(10))"
    

All these points add up to the verbosity of Python one-liners. The following example demonstrates this:

# convert a date to a unix timestamp (using strptime)
ruby -rdate -pe '$_=Date.strptime($_, "%Y-%m-%d").strftime("%s")'
perl -MTime::Piece -pe '$_=Time::Piece->strptime($_, "%Y-%m-%d\n")->epoch()'
python -c 'import sys,datetime; [sys.stdout.write(datetime.datetime.strptime("%Y-%m-%d", i).strftime("%s") for i in sys.stdin]'

But why would anyone want to write one-liners in Python, given these shortcomings and the available alternatives? I believe that when doing interactive work on the shell, the first solution that comes to mind is usually good enough. If that solution is a Python one, why not use it?

How?

Python comes with all the building blocks for implementing a practical method of writing one-liners. This module tries to address the issues outlined above. The command line interface is kept as close as that of Ruby and Perl as reasonable.

  1. To help with the processing of input and output, oneliner provides the the -n, -p and -l command line switches.

    • -n: assume the following loop around expressions or statements (the distinction will be clarified later):

      for line in sys.stdin:
          ...
      
    • -p: like -n, but write the value of line to stdout at the end of each iteration:

      for line in sys.stdin:
          ...
          sys.stdout.write(line)
      
    • -l: automatic line-ending processing. Roughly equivalent to:

      for line in sys.stdin:
          line = line.strip(os.linesep)
          ...
          sys.stdout.write(line)
          sys.stdout.write(os.linesep)
      
  2. Makes the following variables available in the local namespace of each one-liner:

    • line, L, _: The current input line. Unless the -l switch is given, the line separatator will be a part of this string.

    • words, W: Corresponds to the value of re.split(delimiter, line) where delimiter is the value of the -d option. Defaults to \s+.

      The words list will return an empty string instead of throwing an IndexError when a non-existent item is referenced. This behavior is similar to that of arrays in Ruby and field variables in Awk.

    • NR: Current input line number.

    • FN: Current input file name. If oneliner is processing input from stdin FN will be equal to <stdin>, otherwise it corresponds to the current input file given on the command line. For example:

      echo example | python -m oneliner -ne '"%s:%s\t %s" % (FN, NR, L)'
      => <stdin>:1     example
      
      python -m oneliner -ne '"%s:%s\t %s" % (FN, NR, L)' example.txt
      => example1.txt:1     line 1
      
  3. Provide the -m and -M options and a mini-language for specifying imports. This is best illustrated by an example:

    -m os,sys,re,pickle       => import os, sys, re, pickle
    -m os -m sys -m re        => import os, sys, re
    -m os sys re pickle       => import os, sys, re, pickle
    -m os.path.[*]            => from os.path import *
    -m os.path.[join,exists]  => from os.path import join, exists
    -m subprocess=sub         => import subprocess as sub
    -m datetime.[datetime=dt] => from datetime import datetime as dt
    -M os.path                => from os.path import *
    

Installing

The latest stable version of python-oneliner is available on pypi and may be installed with pip.

$ python -m pip install oneliner

Alternatively, you may simply put the oneline.py file anywhere in [sys.path]{.title-ref}.

Todo

  • Support one-liners that don't deal with input/output only. If -n or -p are not given, python-oneliner should behave mostly like python -c does.
  • Persistent variables in statement one-liners.
  • The result of an expression one-liner is always written to stdout (even if -n).
  • Define the behaviour of multiple expression/statements specified on the command line.
  • Some means of emulating BEGIN and END (perhaps a -b and -d flag?)
  • Add more examples.

Similar Projects

License

Python-oneliner is released under the terms of the Revised BSD License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

oneliner-0.3.1.tar.gz (10.4 kB view details)

Uploaded Source

Built Distribution

oneliner-0.3.1-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file oneliner-0.3.1.tar.gz.

File metadata

  • Download URL: oneliner-0.3.1.tar.gz
  • Upload date:
  • Size: 10.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.1

File hashes

Hashes for oneliner-0.3.1.tar.gz
Algorithm Hash digest
SHA256 3a6d452361f82c249d72c014ad223eaf9a3974508903549abed4bc99589ae06d
MD5 f7f08daef71c3f55dd1a0c1424ac11a8
BLAKE2b-256 4fbe3a1f7284b5bc64d8f6c63db6a60a069f6aaff33785cd603792fabfad5f73

See more details on using hashes here.

File details

Details for the file oneliner-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: oneliner-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 10.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.1

File hashes

Hashes for oneliner-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 669712a36824fc9b251f649fb2c40c4109ea94a078b339095773153967084827
MD5 78835996971443050a30baac9bc4d5d8
BLAKE2b-256 e7d7c498d2e65421a303279536ceebc79d41d0fb14047a6f446931e6487fc287

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page