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pipettor - robust, easy to use Unix process pipelines

Project description

Pipettor Overview

pipettor - robust, easy to use Python package for running Unix process pipelines

Features

  • Creating process pipelines in Python is either complex (e.g. subprocess), or not robust (e.g. os.system()). This package aims to address these shortcomings.
  • Command pipelines are simply specified as a sequence of commands, with each command represented as a sequence of arguments.
  • Failure of any process in the pipeline results in an exception, with stderr included in the exception.
  • Pipeline stdin/stdout/stderr can be passed through from parent process, redirected to a file, or read/written by the parent process.
  • Asynchronous reading and writing to and from the pipeline maybe done without risk of deadlock.
  • Pipeline can run asynchronously or block until completion.
  • Popen-style File-like objects for reading or writing a pipeline.
  • Documentation: https://pipettor.readthedocs.org.

History

0.8.0 (2023-02-05)

  • make most optional arguments require keyword form to help prevent errors, especially if open() options are assumed
  • added more functions to make Popen objects file-like objects

0.7.0 (2023-01-06)

  • don't fail if invalid UTF-8 characters are written to capture stderr

0.6.0 (2022-11-16)

  • remove use of deprecated pipes module

0.5.0 (2020-12-25)

  • Removed Python-2 support.
  • Switch to using subprocess as a base rather interface directly with Unix system calls. This lets subprocess deal with various issues dealing with the Python interpreter environment.

0.4.0 (2018-04-21)

  • Allow passing through universial newline mode for PY2.
  • Fix bug with not using specified log level.

0.3.0 (2018-02-25)

  • added open-stying buffering, encoding, and errors options
  • source cleanup

0.2.0 (2017-09-19)

  • Simplified and log of info and errors levels by removing logLevel options.
  • Improvements to documentation.

0.1.3 (2017-06-13)

  • Documentation fixes

0.1.2 (2017-06-11)

  • First public release on PyPI.

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