Skip to main content

ActionTree is a Python (2.7 and 3.5+) library to execute (long) actions in parallel, respecting dependencies between those actions. You create a dependency graph of actions to be executed and then call the execute function on its root.

It’s licensed under the MIT license. It’s available on the Python package index, its documentation and its source code are on GitHub.

Questions? Remarks? Bugs? Want to contribute? Open an issue!

https://img.shields.io/travis/jacquev6/ActionTree/master.svg https://img.shields.io/coveralls/jacquev6/ActionTree/master.svg https://img.shields.io/codeclimate/github/jacquev6/ActionTree.svg https://img.shields.io/scrutinizer/g/jacquev6/ActionTree.svg https://img.shields.io/pypi/dm/ActionTree.svg https://img.shields.io/pypi/l/ActionTree.svg https://img.shields.io/pypi/v/ActionTree.svg https://img.shields.io/pypi/pyversions/ActionTree.svg https://img.shields.io/pypi/status/ActionTree.svg https://img.shields.io/github/issues/jacquev6/ActionTree.svg https://img.shields.io/github/forks/jacquev6/ActionTree.svg https://img.shields.io/github/stars/jacquev6/ActionTree.svg

Quick start

Install from PyPI:

$ pip install ActionTree

Import:

>>> from ActionTree import execute
>>> from ActionTree.stock import CallSubprocess

Execute some action:

>>> link = CallSubprocess(["g++", "a.o", "b.o", "-o", "test"])
>>> link.add_dependency(CallSubprocess(["g++", "-c", "a.cpp", "-o", "a.o"]))
>>> link.add_dependency(CallSubprocess(["g++", "-c", "b.cpp", "-o", "b.o"]))
>>> report = execute(link)

And verify everything went well:

>>> report.is_success
True
>>> os.path.isfile("test")
True

Download files

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

Source Distribution

ActionTree-0.10.0.tar.gz (18.9 kB view details)

Uploaded Source

File details

Details for the file ActionTree-0.10.0.tar.gz.

File metadata

  • Download URL: ActionTree-0.10.0.tar.gz
  • Upload date:
  • Size: 18.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for ActionTree-0.10.0.tar.gz
Algorithm Hash digest
SHA256 4406ad6d92dcb47e78f4991e466022a64ef8db9fc2cf31115f18552e3b0a474d
MD5 d85488937c3c5fd73e1de6334f213a26
BLAKE2b-256 6510da18f25a07ab394b68fe4fde8aaa72f633d1236e82189fb2993db654af84

See more details on using hashes here.

Supported by

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