We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Alexander Hultnér - API-schema-based testing with schemathesis
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.
- 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.