Alexander Hultnér - API-schema-based testing with schemathesis

Python Testing

Automate API testing with Schema Thesis, a Python library that generates tests from API schemas, supporting OpenAPI, Swagger, and GraphQL, for property-based testing and defect detection.

Key takeaways

API schema-based testing allows for automated testing of APIs based on their schemas.
Schema Thesis is a Python library that automatically generates tests from API schemas.
Property-based testing involves testing for expected behavior and input of an API.
Hypothesis is a library used for property-based testing in Python.
Schema Thesis uses Hypothesis to generate tests from API schemas.
The library supports open API, Swagger, and GraphQL.
Schema Thesis can be used to test API responses, content types, and status codes.
The library can also be used to test for expected behavior and input of an API.
It can be used to create exhaustive tests and reduce the amount of time spent writing tests.
Schema Thesis is customizable and supports PyTest and CLI interfaces.
The library can be used to test for a wide range of defects, including incorrect or non-conforming schemas, and ensure that the API behaves as expected.
It can also be used to find defects and errors that may not be caught by other testing methods.
The library is actively developed and supports several schema standards.
Schema Thesis can be used to test APIs that have complex business logic and ensure that they behave as expected.

Alexander Hultnér - API-schema-based testing with schemathesis

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