Function validate_schema

src/google/adk/utils/_schema_utils.py:109–133

Validate JSON text against a schema and return the result. Args: schema: The schema to validate against. json_text: The JSON text to validate. Returns: The validated result. Type depends on the schema: - dict for BaseModel - list of dicts for list[BaseModel] - raw

(schema: SchemaType, json_text: str)

def validate_schema(schema: SchemaType, json_text: str) -> Any:
  """Validate JSON text against a schema and return the result.

  Args:
    schema: The schema to validate against.
    json_text: The JSON text to validate.

  Returns:
    The validated result. Type depends on the schema:
      - dict for BaseModel
      - list of dicts for list[BaseModel]
      - raw value for other schema types (list[str], dict, etc.)
  """
  if is_basemodel_schema(schema):
    # For regular BaseModel, use model_validate_json
    return schema.model_validate_json(json_text).model_dump(exclude_none=True)
  elif is_list_of_basemodel(schema):
    # For list[BaseModel], use TypeAdapter to validate
    type_adapter = TypeAdapter(schema)
    validated = type_adapter.validate_json(json_text)
    return [item.model_dump(exclude_none=True) for item in validated]
  else:
    # For other schema types (list[str], dict, Schema, etc.),
    # just parse JSON without pydantic validation
    return json.loads(json_text)