Flask-Electron 0.4.9

Core code for Flask based projects

KBPC

Table of contents

• Database
  • Models
    • User
      • User Model
      • User DAO
  • Serializer
• Common
  • Exceptions

Database

Models

User Model

Docs coming soon

User DAO

Docs coming soon

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Flask Alchemy Model Serializer

Transformation was originally a series of routines written to convert FlaskAlchemy models into jsonifiable dict structures. This proved to be a solution lacking elegance and evolved and eventually found its way into half a dozen projects over time and eventually, then started to splinter into slightly different variations.

Basic Usage

from flask import jsonify

from application.models import SomeFlaskAlchemyModel
from kbpc.db.flaskalchemy import serializer

# Assume the model has name and age as the model fields
model = SomeFlaskAlchemyModel('John Doe', 25)
transformed_model = serializer.serialize(model)

# This typically fails if you attempt it with the model.
json = jsonify(data=model)

# This however is serializable immediately
json = jsonify(data=transformed_model)

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Often, fields like passwords or other sensitive data should be hidden from responses or outputs. Usually this would be managed at the model class, and writing a to_dict() function or something similar, and simply not declaring the protected properties of that instance.

Protected Properties

from flask import jsonify

from application.models import SomeFlaskAlchemyModel
from kbpc.db.flaskalchemy import serializer

# Assume the model has name and age as the model fields
model = SomeFlaskAlchemyModel('John Doe', 25)
tablename = 'tablename_of_model'
exclusions = {tablename: ['age']}
transformed_model = serializer.serialize(model, exclusions)

# This however is serializable immediately
json = jsonify(data=transformed_model)