coreschema

from coreschema import String, Number, Object from collections import namedtuple # Coreschema's internal Error structure for demonstration Error = namedtuple('Error', ['text', 'index']) # Define a simple schema for a user user_schema = Object( properties={ 'name': String(title='User Name', description='The name of the user.'), 'age': Number(minimum=0, maximum=150, description='User\'s age, 0-150.'), 'city': String(default='Unknown', description='City of residence.') }, required=['name', 'age'] ) # Example data valid_data = {'name': 'Alice', 'age': 30} valid_data_with_city = {'name': 'Bob', 'age': 45, 'city': 'New York'} invalid_data_age = {'name': 'Charlie', 'age': 200} # age > 150 invalid_data_missing = {'age': 25, 'city': 'London'} # missing 'name' print("--- Validating Data ---") # Validate valid data errors = user_schema.validate(valid_data) if not errors: print(f"'{valid_data}' is valid.") else: print(f"'{valid_data}' errors: {errors}") # Validate valid data with optional field errors = user_schema.validate(valid_data_with_city) if not errors: print(f"'{valid_data_with_city}' is valid.") else: print(f"'{valid_data_with_city}' errors: {errors}") # Validate invalid age errors = user_schema.validate(invalid_data_age) if not errors: print(f"'{invalid_data_age}' is valid.") else: print(f"'{invalid_data_age}' errors: {errors}") # Validate missing required field errors = user_schema.validate(invalid_data_missing) if not errors: print(f"'{invalid_data_missing}' is valid.") else: print(f"'{invalid_data_missing}' errors: {errors}")