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subx: Datastructure SubprocessResult

Project description

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subx: Data structure SubprocessResult - for the Python programming language

https://github.com/guettli/subx

SubprocessResult

This library gives you a data structure called SubprocessResult. It combines stdout, stderr and ret (the exit status).

This is handy if you do “one shot” calling of processes.

Why?

If subx fails, you get a meaningful exception message that helps you. You see the first bytes of stdout and stderr. This is the main reason why I wrote this library.

Gracefull handling of timeouts. You get a meaningful error message, even if a timeout happens: You see all stdin and stdout which was emitted until the timeout occured.

Passing in a string as stdin of a subprocess is easy. Just use the kwarg input.

Examples

The method call() returns an instance of SubprocessResult.

result = subx.call([‘date’])

Just replace subprocess.check_call(cmd) with subx.call(cmd) and you get all you want plus a helpful exception messages.

Or replace subprocess.check_output(cmd) with subx.call(cmd).stdout.

If you want to ignore the status code like shell scripts do, and you want to see the head of stdout/stderr you can use this:

logging.info(subx.call(assert_zero_exit_status=False))

This will use repr(result). Which looks like roughly this:

<SubprocessResult cmd=’my-command’ ret=0 stdout=’….’ stderr=’…’>

Method subx.call()

Arguments:

call(cmd, input=None, assert_zero_exit_status=True, warn_on_non_zero_exist_status=False, **kwargs)

input: String which gets send to stdin of the subprocess.
assert_zero_exit_status: raise an exception if exist status is non-zero?
warn_on_non_zero_exist_status: warn on non zero exit status?

Returns: SubprocessResult instance

Class SubprocessResult

The class SubprocessResult has the following attributes:

  • stdout
  • stderr
  • ret (exit status)
  • cmd

Additional Features

If available the subprocess32 library gets used. This provides the timeout parameter for Python 2.7.

Not suited for …

This library is not usefull if you want to read streamed data from your subprocess. But the library is usefull, if you want to stream data to your subprocess.

Install

Install from pypi:

pip install subx

subprocess.check_output() vs subx.call()

Look, compare, think and decide what message helps your more.

subprocess.check_output():

CalledProcessError: Command '['cat', 'some-file']' returned non-zero exit status 1

sub.call():

SubprocessError: Command '['cat', 'some-file']' returned non-zero exit status 1:
stdout='' stderr='cat: some-file: No such file or directory'

… especially if the code fails in a production environment where reproducing the error is not easy, subx can call help you to spot the source of the failure.

Development Install on Python2

Install subx for development on Python2:

virtualenv subx-env
cd subx-env
. ./bin/activate
pip install -e git+https://github.com/guettli/subx.git#egg=subx

Development Install on Python3

Install subx for development on Python3:

python3 -m venv subx-py3env
cd subx-py3env
. ./bin/activate
pip install --upgrade pip
pip install -e git+https://github.com/guettli/subx.git#egg=subx

Development Testing

Testing:

pip install -r src/subx/requirements.txt
cd src/subx
pytest # all test ok?
pyCharm src/subx/...
pytest # all test still ok?
.... I am waiting for your pull request :-)

Project details


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