JSON Schema Faker

As explained in Data-Oriented Programming: Reduce software complexity

JSON Schema Faker is a library that generates randomized data conforming to JSON Schema definitions.

JSON Schema Faker generates randomized data that conforms to a JSON Schema, turning schemas into practical inputs for automated tests. section 12.5

A schema-based test uses it to:

• Generate random arguments matching a function’s input schema. section 12.5
• Exercise simple schemas such as UUIDs and larger schemas such as catalogs. section 12.5
• Expose invalid return data through schema validation and failure output. section 12.5

Testing a catalog search

Generate a catalog and query, call Catalog.searchBooksByTitle, and validate the returned value. A failing run exposes malformed authorNames data; fixing the lookup makes the test pass. section 12.5

Figure 12.3 The flow of a schema-based unit test

The flow diagram connects generated inputs, function execution, and schema validation of the result. section 12.5

How Data-Oriented Programming: Reduce software complexity covers it

How deep it goes

Demonstrates UUIDs, nested catalogs, test integration, and debugging through return-schema failures.

Examples

Uses UUIDs, randomized catalogs, and Catalog.searchBooksByTitle tests.

What it assumes

Assumes JSON Schema definitions and function-level unit tests, while demonstrating the generation workflow.

What you can do after

Diagnose/debug with it by generating varied valid inputs and tracing failures against declared schemas.

How it connects

Connects JSON Schema with unit testing, data validation, and return-value validation.

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Related concepts

• schema-based unit testused by · A schema-based unit test is an automated test that generates arguments conforming to an input schema and checks that the result conforms to an output schema.

This explainer was generated by Manning's knowledge graph from the text of Data-Oriented Programming: Reduce software complexity. The section links point to the parts of the book it draws on.