moltob/doit

task management & automation tool

README

doit - automation tool

doit comes from the idea of bringing the power of build-tools to execute any kind of task

Sample Code

Define functions returning python dict with task's meta-data.

Snippet from tutorial:

def task_imports():
    """find imports from a python module"""
    for name, module in PKG_MODULES.by_name.items():
        yield {
            'name': name,
            'file_dep': [module.path],
            'actions': [(get_imports, (PKG_MODULES, module.path))],
        }

def task_dot():
    """generate a graphviz's dot graph from module imports"""
    return {
        'targets': ['requests.dot'],
        'actions': [module_to_dot],
        'getargs': {'imports': ('imports', 'modules')},
        'clean': True,
    }

def task_draw():
    """generate image from a dot file"""
    return {
        'file_dep': ['requests.dot'],
        'targets': ['requests.png'],
        'actions': ['dot -Tpng %(dependencies)s -o %(targets)s'],
        'clean': True,
    }

Run from terminal:

$ doit list
dot       generate a graphviz's dot graph from module imports
draw      generate image from a dot file
imports   find imports from a python module
$ doit
.  imports:requests.models
.  imports:requests.__init__
.  imports:requests.help
(...)
.  dot
.  draw

Project Details

• Website & docs - http://pydoit.org
• Project management on github - https://github.com/pydoit/doit
• Discussion group - https://groups.google.com/forum/#!forum/python-doit
• News/twitter - https://twitter.com/py_doit
• Plugins, extensions and projects based on doit - https://github.com/pydoit/doit/wiki/powered-by-doit

license

The MIT License Copyright (c) 2008-2018 Eduardo Naufel Schettino

see LICENSE file

developers / contributors

see AUTHORS file

install

doit is tested on python 3.4 to 3.6.

The last version supporting python 2 is version 0.29.

$ pip install doit

dependencies

• cloudpickle
• pyinotify (linux)
• macfsevents (mac)

Tools required for development:

• git * VCS
• py.test * unit-tests
• coverage * code coverage
• sphinx * doc tool
• pyflakes * syntax checker
• doit-py * helper to run dev tasks

development setup

The best way to setup an environment to develop doit itself is to create a virtualenv...

doit$ virtualenv dev
(dev)doit$ dev/bin/activate

install doit as "editable", and add development dependencies from dev_requirements.txt:

(dev)doit$ pip install --editable .
(dev)doit$ pip install --requirement dev_requirements.txt

tests

Use py.test - http://pytest.org

$ py.test

documentation

doc folder contains ReST documentation based on Sphinx.

doc$ make html

They are the base for creating the website. The only difference is that the website includes analytics tracking. To create it (after installing doit):

$ doit website

spell checking

All documentation is spell checked using the task spell:

$ doit spell

It is a bit annoying that code snippets and names always fails the check, these words must be added into the file doc/dictionary.txt.

The spell checker currently uses hunspell, to install it on debian based systems install the hunspell package: apt-get install hunspell.

profiling

python -m cProfile -o output.pstats `which doit` list

gprof2dot -f pstats output.pstats | dot -Tpng -o output.png

contributing

On github create pull requests using a named feature branch.

backers

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sponsors

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