Pythonic task execution
Project description
To find out what’s new in this version of Invoke, please see the changelog.
Invoke is a Python (2.6+ and 3.3+) task execution tool & library, drawing inspiration from various sources to arrive at a powerful & clean feature set.
Like Ruby’s Rake tool and Invoke’s own predecessor Fabric 1.x, it provides a clean, high level API for running shell commands and defining/organizing task functions from a tasks.py file:
from invoke import task @task def clean(ctx, docs=False, bytecode=False, extra=''): patterns = ['build'] if docs: patterns.append('docs/_build') if bytecode: patterns.append('**/*.pyc') if extra: patterns.append(extra) for pattern in patterns: ctx.run("rm -rf {0}".format(pattern)) @task def build(ctx, docs=False): ctx.run("python setup.py build") if docs: ctx.run("sphinx-build docs docs/_build")From GNU Make, it inherits an emphasis on minimal boilerplate for common patterns and the ability to run multiple tasks in a single invocation:
$ invoke clean build
Where Fabric 1.x considered the command-line approach the default mode of use, Invoke (and tools built on it) are equally at home embedded in your own Python code or a REPL:
fakeout = “”” Hello, this is pip Installing is fun Fake output is fake Successfully installed invocations-0.13.0 pep8-1.5.7 spec-1.3.1 “”” proc = MockSubprocess(out=fakeout, exit=0)
proc.stop()
>>> from invoke import run >>> cmd = "pip install -r requirements.txt" >>> result = run(cmd, hide=True, warn=True) >>> print(result.ok) True >>> print(result.stdout.splitlines()[-1]) Successfully installed invocations-0.13.0 pep8-1.5.7 spec-1.3.1Following the lead of most Unix CLI applications, it offers a traditional flag-based style of command-line parsing, deriving flag names and value types from task signatures (optionally, of course!):
$ invoke clean --docs --bytecode build --docs --extra='**/*.pyo' $ invoke clean -d -b build --docs -e '**/*.pyo' $ invoke clean -db build -de '**/*.pyo'
Like many of its predecessors, it offers advanced features as well – namespacing, task aliasing, before/after hooks, parallel execution and more.
For documentation, including detailed installation information, please see http://pyinvoke.org. Post-install usage information may be found in invoke --help.
You can install the development version via pip install -e git+https://github.com/pyinvoke/invoke#egg=invoke.
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