Product Instance — Valid (JSON)
A product object that conforms to the product JSON Schema — the positive case for testing a JSON-Schema validator.
{
"product_id": 101,
"name": "Wireless Headphones",
"price": 79.99,
"in_stock": true,
"tags": [
"audio",
"electronics"
]
}
Specifications
- Conforms To
- product.schema.json
- Valid
- true
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
“Product Instance — Valid (JSON)” is a deterministic Novus Examples fixture for Schema validation. JSON Schema documents describing a data shape — for testing validators and schema-aware tooling.
Documented properties for this file: JSON · 143 bytes. 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.
Code examples
import json
with open("product-valid.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
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- jsonAvro Schema Evolution - BreakingThe breaking Avro record schema for reader/writer compatibility tests. Breaking relative to baseline: id changes to long and tenantId has no default.
- 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.
Generated by generation/data_realworld.py. Free for any use, no attribution required — license.