Metadata-Version: 2.1
Name: Flask-Atomic
Version: 0.0.50
Summary: Core code for Flask based projects
Home-page: https://github.com/kmjbyrne/flask-atomic
Author: Keith Byrne
Author-email: keithmbyrne@gmail.com
License: MIT
Description: # Flask Atomic
        
        ![GitHub](https://img.shields.io/github/license/kmjbyrne/flask-atomic)
        [![PyPI version](https://badge.fury.io/py/Flask-Atomic.svg)](https://badge.fury.io/py/Flask-Atomic)
        [![Build Status](https://travis-ci.org/kmjbyrne/flask-atomic.svg?branch=master)](https://travis-ci.org/kmjbyrne/flask-atomic)
        [![Coverage Status](https://coveralls.io/repos/github/kmjbyrne/flask-atomic/badge.svg?branch=master)](https://coveralls.io/github/kmjbyrne/flask-atomic?branch=master)
        
        
        ## Introduction
        
        REST API development should be quick and painless, especially when prototyping
        or working with large amounts of models where boilerplate CRUD operations are
        required. With well-defined code, Flask Atomic has the opportunity to render
        redundant ~500 lines of per code, per every 5 models in a project.
        
        This project was heavily influenced by repetitive efforts to get quick and dirty
        APIs up and running, with the bad practice of re-using a lot of code, over and over
        again. Instead of relying on throwaway efforts, Flask Atomic provides a very
        simply means to abstract away hundreds of lines of code and enable RESTful API best
        practices that are often esoteric and difficult to engineer for small projects.
        
        Not only does it enable significant off-shelf functionality, it is thoroughly
        tested and battle-hardened for development needs.
        
        This project intended to be a building block to enrich the Flask ecosystem,
        without compromising any Flask functionality. Leaving you to integrate without
        issues, breathing life into your projects in less than 5 lines of code. Feature
        rich but non-assuming.
        
        The Flask Atomic package can be used for:
        
        * Blueprint integration for creating main HTTP method endpoints.
        * Extensible data access objects for common database interactions.
        * Automatic query string processing engine for requests.
        * Fully dynamic model schema definitions without any hardcoding.
        * SQLAlchemy model serializer for transforming Models to JSON ready format.
        * Custom JSON response partials to reduce repetitive Flask.jsonify responses.
        * Variety of db model mixins, including DYNA flag columns and primary key column.
        
        ## Installation
        
        `pip install Flask-Atomic`
        
        ## Minimal Usage
        
        TODO
        
        
Keywords: python library utilities
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
