A Faker provider that generates data based on SQL Alchemy column types.
Project description
SQLAlchemy Faker is a provider for the Faker library that helps populate SQLAlchemh ORM models with dummy data. Creating a new instance of a model can be as simple as calling fake.sqlalchemy_model(SomeModel).
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Installation
The recommend way to install SQLAlchemy Faker is with pip:
pip install faker_sqlalchemy
Example
Say you have some model declared using SQLAlchemy’s ORM.
>>> class SomeModel(Base): ... __tablename__ = "some_model" ... ... id = Column(Integer, primary_key=True) ... ... value = Column(String)
And, you want to easily generate some data,
>>> from faker_sqlalchemy import SqlAlchemyProvider >>> >>> fake = Faker() >>> fake.add_provider(SqlAlchemyProvider) >>> >>> instance = fake.sqlalchemy_model(SomeModel)
Use instance as desired.
>>> print(instance.value) RNvnAvOpyEVAoNGnVZQU
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