Skip to main content

Lightweight tool for piping subprocess processes to each other

Project description

Vorlauf

What?

Vorlauf is a very minimal tool that helps you to create process pipelines (in the shell sense). It also helps separate out the definition of a Process from the running of a that process with a given stdin, stdout, and stderr.

Why?

Because the subprocess api for chaining processes together is cumbersome and not very well documented.

How?

This library does basically nothing - it’s implemented in fewer than 100 lines. There are two classes available, Process and Pipeline.

Process

The Process class is passed args, cwd, and env, and is executed by calling Process.run with optional stdin, stdout, and stderr parameters.

By removing the stdout, stderr, and stdin from the creation of the Process class, we can create reusable Process definitions:

critical_grepper = Process('grep', 'CRITICAL')

syslog = open('/var/log/syslog', 'r')
apachelog = open('/var/log/httpd/error.log', 'r')

filtered = open('critical.log', 'w')

for logfile in (syslog, apachelog):
  critical_grepper.run(stdin=logfile, stdout=filtered)

Pipeline

The Pipeline class stores a list of Process classes which, when run with Pipeline.run with optional stdin and stdout, pipes the processes together. If present, stdin is passed to the first process, and if present, stdout is passed to the last process.

Example

from vorlauf import Pipeline, Process

pipeline = Pipeline()
pipeline.add(Process('cat', 'foo.txt'))
pipeline.add(Process('grep', 'something'))
pipeline.add(Process('uniq'))

with open('new.txt', 'wb') as fd:
    pipeline.run(stdout=fd)

And because of operator overloading built into the Process and Pipeline classes, this can be simplified as:

from vorlauf import Process as P

pipeline = P('cat', 'foo.txt') | P('grep', 'something') | P('uniq')
with open('new.txt', 'wb') as fd:
    pipeline.run(stdout=fd)

Finally, you could use the Process class to create reusable components:

from vorlauf import Process

class GPG(Process):

    def __init__(self, passphrase):
        super(GPG, self).__init__('gpg', '-c', '--passphrase', passphrase, '-')


class MySQLDump(Process):

    def __init__(self, password, dbname, **kwargs):
        super(MySQLDump, self).__init__(
            'mysqldump', '-u', 'root', '-p{}'.format(password), dbname
        )


with open('mysql.dump', 'wb') as fd:
    pipeline = MySQLDump('loldongs', 'foo') | GPG('supersekrit')
    pipeline.run(stdout=fd)

Tests

Run:

virtualenv venv
venv/bin/pip install -e .
venv/bin/python test.py

Changelog

1.0.0 (2015-09-22)

  • Initial release

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

vorlauf-1.0.0.tar.gz (3.2 kB view details)

Uploaded Source

File details

Details for the file vorlauf-1.0.0.tar.gz.

File metadata

  • Download URL: vorlauf-1.0.0.tar.gz
  • Upload date:
  • Size: 3.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for vorlauf-1.0.0.tar.gz
Algorithm Hash digest
SHA256 dc9c12cad3c2aabfbc7587eda0f2beb4e3eb83e51f29f320562b2c38a82a8431
MD5 191ea007b5106822f34643e127c227a9
BLAKE2b-256 7620ff9e86c1db49ddf4f945e62e229b009a882935d9e1333346fea507e43ea5

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