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subx: Datastructure SubprocessResult

Project description

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subx: A Data Structure for Results of Subprocesses

SubprocessResult

This library gives you a data structure called SubprocessResult. It combines stdout, stderr and ret.

This is handy if you do "one shot" calling of subprocesses.

Why?

If subx fails, you get a meaningful exception message that helps you. You see the first bytes of stdout and stderr. This more convinient than the standard library subprocess.

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

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

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='...'>

By default subx.call() raises subx.SubprocessError if the exit status is non-zero.

If you want to handle non-zero exist status yourself, then you can do it like this:

result = subx.call(cmd, assert_zero_exit_status=False)
if result.ret:
    print('Failed: {}\n{}\n{}'.format(result.cmd, result.stderr, result.stdout))
    ...

Method subx.call()

Arguments:

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

data: 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

Not suited for ...

This library is not useful if you want to read streamed data from your subprocess. But the library is useful, 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. In above case you see "No such file or directory" which gives you a hint about the root cause.

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 :-)

Python 2

Python 2 is not supported any more. Please use version 2019.36.0 if you need it.

Reflections

Creating subprocesses should be avoided. It is slow and error prone. In the past you could not avoid it. Today there is a library for almost everything, and that's great.

More from Thomas Güttler

You can find more of me on my Working-out-Loud list.

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