Molt is a script to stub out projects in any language instantly using Mustache-based project templates.
You can use Molt to decrease the amount of boilerplate code you need to write
when starting new projects: the README, copyright notices, license info,
logging configuration, option parsing, test harness, packaging information,
.gitignore
, directory hierarchy, etc.
A minimal sample usage looks like--
$ molt -c path/to/config.json path/to/template/dir/
Molt follows the Groome rules for Mustache-based project templates. See the Groome page for project template syntax. This version of Molt follows version 0.1.0 of Groome.
Molt is written in Python and can be found on GitHub and on PyPI (the Python Package Index).
Feedback is welcome. You can also file bug reports and feature requests on the GitHub issues page.
Molt supports the following Python versions:
- Python 2.7
- Python 3.2
- PyPy
Since Molt is a development tool, there are no plans to support Python 2.6 or earlier.
Molt's dependencies are--
The installation process below installs these dependencies automatically.
You can install to Python 2 with either setuptools or Distribute (preferred). For Python 3, you must use Distribute.
$ pip install molt
$ molt --run-tests
Start with the demo Groome template to play with:
$ molt --create-demo --output demo
$ ls -p demo
expected/ lambdas/ partials/ sample.json structure/
Render the template with the sample context provided:
$ molt --output output --config demo/sample.json demo
Run the newly-created project (which can also be seen here)):
$ python output/hello.py world
Hello, world!
For help documentation and available options--
$ molt -h
Note the --visualize
and --with-visualize
options that let you
quickly visualize entire directory contents.
$ molt --visualize output
If using Python, you can also use Molt as a library (though the API is
not yet stable). See the Molter
class in the
molt.molter
module.
If using GitHub, after forking--
$ git clone git@github.com:yourusername/molt.git
$ cd molt
$ git remote add upstream git://github.com/cjerdonek/molt.git
$ git fetch upstream
To run unit tests--
$ python runmolt.py --run-tests
To test Molt with multiple versions of Python (with a single command!), you can use tox:
pip install tox
tox
If you don't have all Python versions listed in tox.ini
, you can do--
tox -e py27 # for example
To run from source any molt command of the form--
$ molt [options] [DIRECTORY]
simply type--
$ python -m molt.scripts.molt [options] [DIRECTORY]
To include the Groome tests in your test runs, initialize and update the Groome project submodule--
$ git submodule init
$ git submodule update
To run a subset of the tests, you can filter your test runs using one or more prefixes. For example--
$ python runmolt.py --run-tests molt.test.general molt.test.dir
Molt is also set up on GitHub to work with Travis CI.
Molt is written in Python 2, so the code must be converted to Python 3 prior to using with Python 3. The installation process does this automatically.
To convert the code to Python 3 manually, run the following using Python 3 (with Distribute installed)--
python setup.py build
This writes the converted code to a subdirectory of the project directory
called build
.
It is possible (though not recommended) to convert the code without using
setup.py
. You can try this with 2to3,
as follows (two steps):
2to3 --write --nobackups --no-diffs --doctests_only molt
2to3 --write --nobackups --no-diffs molt
This converts the code (and doctests) in place.
To import molt
from a source distribution while using Python 3, be sure
that you are importing from a directory containing the converted code
(e.g. from the build
directory after converting), and not from the
original (unconverted) source directory. Otherwise, you will get a
syntax error. You can help prevent this by not running the Python
IDE from the project directory when importing Molt while using Python 3.
Molt is authored by Chris Jerdonek. Chris is also the author of Groome and is the current Pystache maintainer.
Copyright (C) 2011-2013 Chris Jerdonek. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
- The names of the copyright holders may not be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.