Validating Complex JSON Responses | Dataford Interview Questions

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Pureintegration QA tests need to verify that an integration response has the expected nested JSON structure. Implement a recursive validator that checks objects, arrays, primitive types, required fields, and minimum array lengths against a supplied schema.

Formal Specification

Write validate_response(response, schema):

response is a JSON-compatible Python value containing dictionaries, lists, strings, numbers, booleans, or None.
schema is a dictionary node with a type field.
An object schema uses properties, a dictionary mapping field names to child schemas, and an optional required list.
An array schema uses an items child schema and may define minItems.
Primitive schemas use types string, integer, number, boolean, or null.
Return True only when the complete response satisfies the schema. Unknown object fields are allowed. Return False for missing required fields, incorrect types, invalid nested values, or invalid array lengths.

A JSON boolean must not be accepted as an integer, even though Python makes bool a subclass of int.

Constraints

The response and schema contain at most 10^4 total nodes.
Nesting depth is at most 100.
Object field names are strings.
Schemas use object, array, string, integer, number, boolean, and null node types.
Unknown response object fields are allowed.

Function Signature

def validate_response(response, schema):