COMMENTS

  1. GitHub

    hypothesis-jsonschema may make backwards-incompatible changes at any time before version 1.x - that's what semver means! - but I've kept the API surface small enough that this should be avoidable. The main source of breaks will be if or when schema that never really worked turn into explicit errors instead of generating values that don't quite ...

  2. hypothesis-jsonschema

    hypothesis-jsonschema. A Hypothesis strategy for generating data that matches some JSON schema.. Here's the PyPI page. API. The public API consists of just one function: hypothesis_jsonschema.from_schema, which takes a JSON schema and returns a strategy for allowed JSON objects. from hypothesis import given from hypothesis_jsonschema import from_schema @given (from_schema ({"type": "integer ...

  3. hypothesis-jsonschema/README.md at master · python-jsonschema ...

    A Hypothesis strategy for generating data that matches some JSON schema. The public API consists of just one function: hypothesis_jsonschema.from_schema, which takes a JSON schema and returns a strategy for allowed JSON objects. For more details on property-based testing and how to use or customise ...

  4. Data generation

    Data generation . This section describes how Schemathesis generates test examples and their serialization process. Schemathesis converts Open API schemas to compatible JSON Schemas and passes them to hypothesis-jsonschema, which generates data for those schemas.

  5. What you can generate and how

    For example, everything_except(int) returns a strategy that can generate anything that from_type() can ever generate, except for instances of int, and excluding instances of types added via register_type_strategy(). This is useful when writing tests which check that invalid input is rejected in a certain way. hypothesis.strategies. frozensets (elements, *, min_size = 0, max_size = None) [source]

  6. hypothesis-jsonschema/src/hypothesis_jsonschema/_from_schema.py at

    """Take a JSON schema and return a strategy for allowed JSON objects. To generate specific string formats, pass a ``custom_formats`` dict mapping the format name to a strategy for allowed strings.

  7. Generate sample Json output from Json Schema

    My team and I have created an online tool that allows you to parse JSON schema and generate an array of JSON data that complies to the schema. You can save it as .json file and parse it to your app with a Java parser. The tool is called Mock turtle - https://mockturtle.net.

  8. hypothesis-jsonschema 0.23.1 on PyPI

    hypothesis-jsonschema may make backwards-incompatible changes at any time before version 1.x - that's what semver means! - but I've kept the API surface small enough that this should be avoidable. The main source of breaks will be if or when schema that never really worked turn into explicit errors instead of generating values that don't quite ...

  9. hypothesis-jsonschema 0.22.0 on conda

    Tools to generate test data from JSON schemata with Hypothesis - 0.22.0 - a Python package on conda - Libraries.io. ... The public API consists of just one function: hypothesis_jsonschema.from_schema, which takes a JSON schema and returns a strategy for allowed JSON objects.

  10. Using Hypothesis and Schemathesis to Test FastAPI

    Like before we used the integers Strategy to generate random integers, positive and negative, for testing.. Schemathesis. Schemathesis is a modern API testing tool based on the OpenAPI and GraphQL specifications. It uses Hypothesis under the hood to apply property-based testing to API schemas. In other words, given a schema, Schemathesis can automatically generate test cases for you.