An implementation of the JSON Schema specification for Python - python-jsonschema/jsonschema

python-jsonschema/referencing-suite’s past year of commit activity

Example: import fastjsonschema code = fastjsonschema.compile_to_code({'type': 'string'}) with open('your_file.py', 'w') as f: f.write(code) ... echo "{'type': 'string'}" | python3 -m fastjsonschema > your_file.py python3 -m fastjsonschema "{'type': 'string'}" > your_file.py · Exception ...

python-jsonschema-objects provides an automatic class-based binding to JSON Schemas for use in python. See Draft Schema Support to see supported keywords · For example, given the following schema: { "title": "Example Schema", "type": "object", "properties": { "firstName": { "type": "string" }, "lastName": { "type": "string" }, "age": { "description": "Age in years", "type": "integer", "minimum": 0 }, "dogs": { "type": "array", "items": {"type": "string"}, "maxItems": 4 }, "address": { "type": "object", "properties": { "street": {"type": "string"}, "city": {"type": "string"}, "state": {"type": "string"} }, "required":["street", "city"] }, "gender": { "type": "string", "enum": ["male", "female"] }, "deceased": { "enum": ["yes", "no", 1, 0, "true", "false"] } }, "required": ["firstName", "lastName"] } jsonschema-objects can generate a class based binding.

JSON support files from the JSON Schema Specifications (metaschemas, vocabularies, etc.), packaged for runtime access from Python as a referencing-based Schema Registry.

Length of 'simplejson' must be more than 15.000000 EXTENDING JSONSCHEMA jsonschema provides an API similar to simplejson in that validators can be overridden to support special property support or extended functionality. Samples of how jsonschema can be extended can be found in the examples directory.

The output is a Python dict, you need to dump it to JSON. >>> from schema import Optional, Schema >>> import json >>> s = Schema({ ... "test": str, ... "nested": {Optional("other"): str}, ... }) >>> json_schema = json.dumps(s.json_schema("https://example.com/my-schema.json")) # json_schema { "type":"object", "properties": { "test": {"type": "string"}, "nested": { "type":"object", "properties": { "other": {"type": "string"} }, "required": [], "additionalProperties": false } }, "required":[ "test", "nested" ], "additionalProperties":false, "$id":"https://example.com/my-schema.json", "$schema":"http://json-schema.org/draft-07/schema#" }

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}$", va

jsonschema is available on PyPI. You can install using pip: ... Be aware that the mere presence of these dependencies – or even the specification of format checks in a schema – do not activate format checks (as per the specification). Please read the format validation documentation for further details. I’m Julian Berman. ... Get in touch, via GitHub or otherwise, if you’ve got something to contribute, it’d be most welcome!

Fast JSON schema validator for Python. Contribute to horejsek/python-fastjsonschema development by creating an account on GitHub.

"https://github.com/python-jsonschema/referencing " "library, which provides more compliant referencing " "behavior as well as more flexible APIs for " "customization." ), DeprecationWarning, stacklevel=2, ) if self._ref_resolver is None: self._ref_resolver = _RefResolver.from_schema( self.schema, id_of=id_of, ) return self._ref_resolver ·

JavaScript HTML Python TypeScript Makefile · json-schema jsonschema hacktoberfest community json ·

Releases · python-jsonschema/jsonschema · 07 Jan 13:41 · github-actions · v4.26.0 · a727743 · This commit was signed with the committer’s verified signature. Julian Julian Berman · SSH Key Fingerprint: KGWaiXaE2+2Sfsb1tqFbCB97kWnz9D41YojdMdVPq9M · Verified · Learn about vigilant mode.

Cross-specification JSON referencing (JSON Schema, OpenAPI, and the one you just made up!) - python-jsonschema/referencing

The following configuration uses check-jsonschema to validate Github Workflow files. - repo: https://github.com/python-jsonschema/check-jsonschema rev: 0.37.0 hooks: - id: check-github-workflows args: ["--verbose"]

Once installed, you can use it in your Python code to highlight JSON Schema documents. ... from jsonschema_lexer import JSONSchemaLexer from rich.console import Console from rich.syntax import Syntax console = Console() code = """ { "$schema": "https://json-schema.org/draft/2020-12/schema", "$id": "https://example.com/product.schema.json", "title": "Product", "description": "A product from Acme's catalog", "type": "object", "properties": { "productId": { "description": "The unique identifier for a product", "type": "integer" }, "productName": { "description": "Name of the product", "type": "string" } } } """ syntax = Syntax(code, lexer=JSONSchemaLexer(), background_color="default", word_wrap=True) console.print(syntax)

jsonschema’s benchmarks make use of pyperf. Running them can be done via: ... The JSON Schema specification has a Slack, with an invite link on its home page. Many folks knowledgeable on authoring schemas can be found there. Otherwise, opening a GitHub discussion or asking questions on Stack Overflow are other means of getting help if you’re stuck.

I'm Mark, and this is my personal Python-powered project. Work on jschon is currently on hold due to other commitments. Development will resume as and when time allows. JSON Schema validator implementation (drafts 2019-09, 2020-12) ... For remote $ref support, the requests library is required. It may be installed with: ... from jschon import create_catalog, JSON, JSONSchema create_catalog('2020-12') demo_schema = JSONSchema({ "$id": "https://example.com/demo", "$schema": "https://json-schema.org/draft/2020-12/schema", "type": "array", "items": { "anyOf": [ { "type": "string", "description": "Cool!

July 23, 2020 - The result of this is that a new Python module named myschema.py is written to disk in the local directory; we can import the root object and use it to construct some data: >>> from myschema import Person >>> person = Person(name='suzie', age=32) ...

JSON Schema implementation and surrounding tooling for Python - Python + JSON Schema