Skip to main content

Generate test data from JSON schemata with Hypothesis

Project description

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", "minimum": 1, "exclusiveMaximum": 10}
))
def test_integers(value):
    assert isinstance(value, int)
    assert 1 <= value < 10


@given(from_schema(
    {"type": "string", "format": "card"},
    # Standard formats work out of the box.  Custom formats are ignored
    # by default, but you can pass custom strategies for them - e.g.
    custom_formats={"card": st.sampled_from(EXAMPLE_CARD_NUMBERS)}
))
def test_card_numbers(value):
    assert isinstance(value, str)
    assert re.match(r"^\d{4} \d{4} \d{4} \d{4}$", value)

For more details on property-based testing and how to use or customise strategies, see the Hypothesis docs.

JSONSchema drafts 04, 05, and 07 are fully tested and working. As of version 0.11, this includes resolving non-recursive references!

Supported versions

hypothesis-jsonschema requires Python 3.6 or later. In general, 0.x versions will require very recent versions of all dependencies because I don't want to deal with compatibility workarounds.

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 match.

You can sponsor me to get priority support, roadmap input, and prioritized feature development.

Contributing to hypothesis-jsonschema

We love external contributions - and try to make them both easy and fun. You can read more details in our contributing guide, and see everyone who has contributed on GitHub. Thanks, everyone!

Changelog

Patch notes can be found in CHANGELOG.md.

Security contact information

To report a security vulnerability, please use the Tidelift security contact. Tidelift will coordinate the fix and disclosure.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hypothesis-jsonschema-0.17.0.tar.gz (28.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hypothesis_jsonschema-0.17.0-py3-none-any.whl (24.8 kB view details)

Uploaded Python 3

File details

Details for the file hypothesis-jsonschema-0.17.0.tar.gz.

File metadata

  • Download URL: hypothesis-jsonschema-0.17.0.tar.gz
  • Upload date:
  • Size: 28.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for hypothesis-jsonschema-0.17.0.tar.gz
Algorithm Hash digest
SHA256 8985cb8fa3ce6c7a7b1bd5d7c144f9832196f478cb6e20fbe9e0c56251a3fc8d
MD5 5b0d7dc28bfad917ed33aa8aa73150f4
BLAKE2b-256 a3a3da4c7cfcf26c7eeb145a2e4beefb34ec15c97c76e1be1b369daa51f3929c

See more details on using hashes here.

File details

Details for the file hypothesis_jsonschema-0.17.0-py3-none-any.whl.

File metadata

  • Download URL: hypothesis_jsonschema-0.17.0-py3-none-any.whl
  • Upload date:
  • Size: 24.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3

File hashes

Hashes for hypothesis_jsonschema-0.17.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c2917f9b1b6ec7f543e150b11058c017754636b39a1d709153e34f34fe36e4ab
MD5 0bf20a885d0da2d475100ee6e91888ec
BLAKE2b-256 e9387f59ffd5e22a9a6dd0c54d16516e45704688ee9990bbb2cfe660a212b641

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page