schema validation
Domain: Validation Typing
🎯 Motivation
schema validation checks data against a formal description (schema) of its structure. It ensures nested data like JSON from an API matches expected fields, types, and constraints before your code processes it.
📋 Concrete Example
You define a pydantic model with nested fields, then call Model.model_validate(json_data) to verify every key and type in the incoming JSON matches the schema, rejecting mismatches.
🔗 Analogy
schema validation is like checking a shipment against a packing slip. Every item must match the list in name, quantity, and type, or the shipment is rejected.