User JSON Schema (draft 2020-12)
Draft 2020-12 JSON Schema for a user object with email format and role enum — paired with valid/invalid instances.
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://example.com/schemas/user.json",
"title": "User",
"type": "object",
"required": [
"user_id",
"email",
"active"
],
"additionalProperties": false,
"properties": {
"user_id": {
"type": "integer",
"minimum": 1
},
"email": {
"type": "string",
"format": "email"
},
"active": {
"type": "boolean"
},
"role": {
"type": "string",
"enum": [
"admin",
"member",
"guest"
]
}
}
}
Specifications
- Spec
- JSON Schema draft 2020-12
- Required
- user_id, email, active
- Seed
- 42042
Testing contract
Expected to pass- Scenario
- Exercise User JSON Schema (draft 2020-12) in its schema workflow. Draft 2020-12 JSON Schema for a user object with email format and role enum — paired with valid/invalid instances.
- Expected result
- top-level keys are $schema, $id, title, type, required, additionalProperties, properties; array lengths: required=3; selected values: {"type": "object", "additionalProperties": false}. Declared feature checks: spec=JSON Schema draft 2020-12; required=user_id, email, active.
What is a .json file?
JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.
How to use this file
Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.
How to use this file for testing
“User JSON Schema (draft 2020-12)” is a deterministic Novus Examples fixture for Schema / OpenAPI testing, JSON parsing. Valid and intentionally invalid OpenAPI/JSON Schema documents plus request/response examples for schema validators and API tooling.
Documented properties for this file: seed 42042. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Valid and intentionally invalid siblings are labelled in title and description. Assert parsers accept the valid twin and fail loudly on the invalid one; for time series, check DST gaps and duplicate keys against the spec table.
Code examples
import json
with open("user.schema.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
- jsonJSON Schema Edge — Additional Properties FalseMinimal JSON Schema SAMPLE focusing on additional properties false constraints.

- jsonJSON Schema Edge — Array Unique ItemsMinimal JSON Schema SAMPLE focusing on array unique items constraints.

- jsonJSON Schema Edge — Dependent RequiredMinimal JSON Schema SAMPLE focusing on dependent required constraints.

- jsonJSON Schema Edge — Enum CurrencyMinimal JSON Schema SAMPLE focusing on enum currency constraints.

- jsonJSON Schema Edge — Format Uri EmailMinimal JSON Schema SAMPLE focusing on format uri email constraints.

- jsonJSON Schema Edge — Nullable OptionalMinimal JSON Schema SAMPLE focusing on nullable optional constraints.

Generated by generation/data_wave_f.py. Free for any use, no attribution required, license.