The Criteria Pattern is a Python 🐍 package that simplifies and standardizes criteria based filtering 🤏🏻, validation and selection. This package provides a set of prebuilt 👷🏻 objects and utilities that you can drop into your existing projects and not have to implement yourself.
These utilities 🛠️ are useful when you need complex filtering logic. It also enforces 👮🏻 best practices so all your filtering processes follow a uniform standard.
Easy to install and integrate, this is a must have for any Python developer looking to simplify their workflow, enforce design patterns and use the full power of modern ORMs and SQL 🗄️ in their projects 🚀.
You can install Criteria Pattern using pip:
pip install criteria-patternfrom criteria_pattern import Criteria, Filter, FilterOperator
from criteria_pattern.converter import SqlConverter
is_adult = Criteria(filters=[Filter('age', FilterOperator.GREATER_OR_EQUAL, 18)])
email_is_gmail = Criteria(filters=[Filter('email', FilterOperator.ENDS_WITH, '@gmail.com')])
email_is_yahoo = Criteria(filters=[Filter('email', FilterOperator.ENDS_WITH, '@yahoo.com')])
query, parameters = SqlConverter.convert(criteria=is_adult & (email_is_gmail | email_is_yahoo), table='user')
print(query)
print(parameters)
# >>> SELECT * FROM user WHERE (age >= %(parameter_0)s AND (email LIKE '%%' || %(parameter_1)s OR email LIKE '%%' || %(parameter_2)s));
# >>> {'parameter_0': 18, 'parameter_1': '@gmail.com', 'parameter_2': '@yahoo.com'}We love community help! Before you open an issue or pull request, please read:
Thank you for helping make 🤏🏻 Criteria Pattern package awesome! 🌟
This project is licensed under the terms of the MIT license.