Question 1

Polyfactory vs Factory Boy: which is better for Python testing?

Accepted Answer

Polyfactory excels with modern type-hinted models like Pydantic and dataclasses, offering automatic generation from annotations. Factory Boy is more flexible for arbitrary classes but requires more manual setup. Choose Polyfactory for type-driven projects and Factory Boy for legacy or diverse object types.

Question 2

How to generate mock data for nested Pydantic models with Polyfactory?

Accepted Answer

Define a factory for the parent model and use sub-factories or custom functions for nested fields. Polyfactory automatically handles recursion based on type hints, but you can override specific nested values using the __model__ attribute or custom generators documented on the site.

Question 3

Does Polyfactory work with SQLAlchemy models?

Accepted Answer

Not directly; Polyfactory focuses on type-annotated models like Pydantic and dataclasses. For SQLAlchemy, you might need to wrap models in Pydantic schemas or use other libraries, though it supports ODMs like Beanie for MongoDB as mentioned in the features.

Question 4

Can I use Polyfactory with Django REST framework?

Accepted Answer

Yes, if your Django models are represented with Pydantic models or dataclasses in serializers. Polyfactory can generate data for those representations, but direct integration with Django ORM isn't built-in, so additional setup may be needed.

Question 5

How to customize field values in Polyfactory factories?

Accepted Answer

Override fields in your factory class by defining attributes or using the __setattr__ method. You can also use custom generation functions via the __model__ hook, allowing precise control while maintaining automation for other fields.

Question 6

Is Polyfactory good for performance testing or load generation?

Accepted Answer

Polyfactory is designed for test data generation in unit or integration tests, not performance benchmarking. While batch generation is efficient, for high-volume load tests, you might need optimized static data or specialized tools focused on scalability.

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