Pytest Domain Model Testing
This skill teaches you to thoroughly test domain layer code using pytest, covering value object validation and immutability, entity identity and business logic, and domain invariants. Learn patterns for reaching 95%+ coverage on pure domain models without external dependencies or mocks.
Pytest Domain Model Testing helps you test domain models and business logic effectively using pytest framework.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-01-26
Pytest Domain Model Testing helps you test domain models and business logic effectively using pytest framework. This skill teaches you to thoroughly test domain layer code using pytest, covering value object validation and immutability, entity identity and business logic, and domain invariants. Learn patterns for reaching 95%+ coverage on pure domain models without external dependencies or mocks.
Use it when
- Pytest Domain Model Testing provides patterns for domain-driven design testing including entity identity verification.
- Pytest Domain Model Testing guides you through writing unit tests for domain entities and aggregates by focusing on business logic.
Install
dawiddutoit/custom-claude/pytest-domain-model-testing · repository language: Python
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How to test domain models with pytest?
Pytest Domain Model Testing teaches you to build comprehensive test suites for your domain layer using pytest. Start by organizing tests around domain entities and value objects, writing pure unit tests that validate business logic without external dependencies. Use pytest fixtures to set up reusable domain objects, then write assertions that verify entity identity, value object immutability, and domain invariants. The skill covers patterns for reaching 95%+ coverage on pure domain models.
What patterns does Pytest Domain Model Testing cover for DDD?
Pytest Domain Model Testing provides patterns for domain-driven design testing including entity identity verification, value object validation and immutability checks, and domain invariant enforcement. Learn how to structure test fixtures for domain layer testing, implement domain model validation assertions, and write unit tests for domain entities and aggregates without mocks or external dependencies.
How do I test domain entities and aggregates with pytest?
Pytest Domain Model Testing guides you through writing unit tests for domain entities and aggregates by focusing on business logic validation. Create fixtures that instantiate domain objects consistently, then write assertions that verify entity behavior, aggregate invariants, and state transitions. The skill emphasizes testing pure domain logic in isolation, ensuring your domain models maintain their contracts and business rules.
What is domain model validation in Pytest Domain Model Testing?
Domain model validation in Pytest Domain Model Testing involves implementing assertions that verify your domain objects enforce their business rules. Test that value objects remain immutable, entities maintain identity correctly, and aggregates preserve their invariants. Learn to structure validation tests so they catch violations early and document your domain's constraints through executable test cases.
How do I set up test fixtures for domain layer testing?
Pytest Domain Model Testing teaches fixture setup for domain layer testing by creating reusable, well-organized domain object builders. Define pytest fixtures that construct valid domain entities and value objects with sensible defaults, then customize them in individual tests. This approach reduces boilerplate, improves test readability, and ensures consistent domain object creation across your test suite.
Can Pytest Domain Model Testing help me reach high coverage?
Yes. Pytest Domain Model Testing is designed to help you achieve 95%+ coverage on pure domain models by focusing on thorough business logic testing without external dependencies or mocks. The skill teaches you to identify all domain invariants and edge cases, then write targeted unit tests that exercise each path through your domain code.
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