ActionTree 0.8.0

Executes (long) actions in parallel, respecting dependencies between those actions

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, specifying how many actions must be run in parallel and if errors should stop the execution.

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!

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, jobs=2)

And verify everything went well:

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