Retrieve all classes derived from a class and sort them by a given priority and order, making it easy to draw up and use plugin-like classes.
Project description
Makes classes sortable by precedence and priority. The order of precedence of classes and their priority is defined per class and at runtime.
Copyright 2016, 2017, 2018, 2019 Odin Kroeger
Use case
sortableclasses makes classes sortable by precedence and priority. This is useful if you want to take some input, apply a set of transformations, and output the result (i.e., if you’re writing what on UNIX-ish systems is called a ‘filter’). Ordinarily, you would chain those transformations as function calls (i.e., return transform_1(...(transform_n(input)))), but the larger the number of transformation grows, the more difficult this is to maintain.
sortableclasses enables you to define each of those transformations as a class, assign each of them a list of predecessor and successor classes or a numerical priority, and then simply sort them using sort or sorted. Simply put, it enables you to write classes that are similar to plugins in how they function.
For example:
>>> import sortableclasses >>> import abc >>> import functools >>> >>> class Transform(sortableclasses.Pluggable): ... @staticmethod ... @abc.abstractmethod ... def transform(input): ... pass ... >>> class MakeContent(Transform): ... @staticmethod ... def transform(input): ... if input == ':-(': ... return ':-|' ... return input ... >>> class MakeHappy(Transform): ... successorof = (MakeContent,) ... @staticmethod ... def transform(input): ... if input == ':-|': ... return ':-)' ... return input ... >>> class MakeVeryHappy(Transform): ... successorof = (MakeHappy,) ... @staticmethod ... def transform(input): ... if input == ':-)': ... return ':-D' ... return input ... >>> transforms = sorted(Transform.getderived()) >>> transforms [<class 'MakeContent'>, <class 'MakeHappy'>, <class 'MakeVeryHappy'>] >>> input = ':-(' >>> functools.reduce(lambda k, s: s.transform(k), transforms, input) ':-D'
Installation
You use sortableclasses at your own risk. You have been warned.
sortableclasses requires Python 3.
If you have Python’s setuptools, simply say:
pip3 install sortableclasses
Otherwise, download the most recent stable release (v0.9.4rc25), unzip it and copy the directory sortableclasses into a directory in your Python’s sys.path.
You can do all of the above by:
# Download and unpack *sortableclasses* to the current directory. curl https://codeload.github.com/odkr/sortableclasses.py/tar.gz/v0.9.4rc25 | tar -xz # The command below guesses a directory to install *sortableclasses* to. PYTHON_SYSPATH=$(printf 'import sys; print("\\n".join(sorted(sys.path)))\n' | python3 | grep -E "(${HOME?}|/local/)" | head -n1) # If the command below errors, no suitable directory was found. # Otherwise, it will show you where *sortableclasses* will be installed to. echo "${PYTHON_SYSPATH?'did not find suitable directory.'}" # Copy the directory "sortableclasses" into that directory. [ -d "${PYTHON_SYSPATH?}" ] && { PACKAGE=sortableclasses.py-0.9.4rc25/sortableclasses cp -r "$PACKAGE" "$PYTHON_SYSPATH" || \ sudo cp -r "$PACKAGE" "$PYTHON_SYSPATH" } # Remove the downloaded files, if you want to. rm -rf sortableclasses.py-0.9.4rc25
Documentation
You can view the reference documentation at Read the Docs or, once you installed sortableclasses, by:
pydoc sortableclasses
Contact
If there’s something wrong with sortableclasses, please open an issue.
Licence
This programme is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This programme is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
Further Information
- GitHub:
- Read the docs:
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