Metadata-Version: 2.1
Name: panda_core_data
Version: 0.0.2
Summary: Data management system with modding and Panda3D engine in mind.
Home-page: https://github.com/Cerberus1746/PandaCoreData
Author: Leandro (Cerberus1746) Benedet Garcia
Author-email: leandro.benedet.garcia@gmail.com
License: MIT License
Description: PandaDataCore [![Build Status](https://travis-ci.org/Cerberus1746/PandaCoreData.svg?branch=master)](https://travis-ci.org/Cerberus1746/PandaCoreData) [![Documentation Status](https://readthedocs.org/projects/pandacoredata/badge/?version=latest)](https://pandacoredata.readthedocs.io/en/latest/?badge=latest) [![Coverage Status](https://coveralls.io/repos/github/Cerberus1746/PandaCoreData/badge.svg?branch=master)](https://coveralls.io/github/Cerberus1746/PandaCoreData?branch=master) [![PyPI version](https://badge.fury.io/py/panda-core-data.svg)](https://pypi.org/project/panda-core-data/) [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/panda-core-data)](https://www.python.org/downloads/)
        ===============
        
        
        So, if you already played games like Factorio, Rimworld or Dwarf Fortress and tried to mod them,
        you will find that it’s absurdly easy to mod those games for simple things like changing the
        balancing, adding items, changing descriptions and etc. Because the data files of the games are
        simple raws and not binaries. This library pretty much makes the task of using raws as simple as
        possible. Raws in our case is plain text files like xml, json, yaml and etc that
        is commonly used to hold data, for now the library supports `yaml` and `json`.
        
        The library might have modding in mind, however it pretty much be used for any sort of software or
        game engine that uses python.
        
        Internally the library use [dataclasses](https://docs.python.org/3/library/dataclasses.html>) to
        handle the data and [TinyDB](https://tinydb.readthedocs.io/en/latest/) to load them from raws.
        
        Thanks for your interest in our package! But for now our things are still a bit of a todo. But, you
        can check a basic api documentation here: https://pandacoredata.readthedocs.io/
        
        Install
        ========
        
        This package only works with python 3.7 and above because it uses dataclasses.
        
        The package is now available with pip, so to install all you need is to run this command:
        ```
        pip install panda-core-data
        ```
        
        Quick Start
        ============
        
        Once installed, you can run this command:
        ```
        panda_core_data_commands.py -o directory-name
        ```
        It will automatically generate the basic directory structure, plus a basic main file.
        
        How to Collaborate
        =====================
        
        If you want to help with the development of this library, I would say that I love you but my fiancee
         would get jealous, so I will just say thank you :D
        
        First, make sure you have **at least Python 3.7**, git and pip up and running:
        ```
        python -V
        pip -V
        git --version
        ```
        download this repository with the following command using git:
        ```
        git clone https://github.com/Cerberus1746/PandaCoreData.git
        ```
        
        And then cd into the directory with:
        ```
        cd PandaCoreData
        ```
        
        Now, if you want to just run the tests to test your changes, you can run:
        ```
        python setup.py test
        ```
        If you want to generate docs, you can install all dependencies with:
        ```
        pip install panda-core-data[docs]
        ```
        
        And then generate the docs with the command:
        ```
        python setup.py build_sphinx
        ```
        The docs will be located by default inside the directory `docs/build/html`
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Games/Entertainment
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Utilities
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Provides-Extra: tests
Provides-Extra: docs
