How to validate an array of custom objects with jsonschema in Python

Question

I have this primary schema for each one of my data points:

data_schema = {
"type": "object",
"properties": {
    "name": {"type": "string"},
    "city": {"type": "string"},
    "distance": {"type": "number"},
    "extrovert": {"type": "boolean"},
    "favorite_temperature": {"type": "number"},
},

}

and then I expect a list of these called data. I want to validate them all, how can this be done using the jsonschema module?

This is my attempt which fails because it seems to not recognize my custom primary schema inside the array schema:

from jsonschema import validate
from time import time
from faker import Faker 
import numpy as np

Faker.seed(0)

fake = Faker() 
def create_data(x: int): 
    '''Create fake data'''

    # dictionary 
    data = [] 
    for i in range(0, x): 
        data_i = {}
        data_i['name']= fake.name() 
        data_i['city']= fake.city() 
        data_i['distance'] = np.random.randint(1,5)
        data_i['extrovert'] = fake.pybool()
        data_i['favorite_temperature'] = fake.pyfloat(left_digits=2,
                                                    right_digits=2)
        data.append(data_i)

    return data


data = create_data(3)

t0 = time()


data_schema = {
    "type": "object",
    "properties": {
        "name": {"type": "string"},
        "city": {"type": "string"},
        "distance": {"type": "number"},
        "extrovert": {"type": "boolean"},
        "favorite_temperature": {"type": "number"},
    },
}

list_schema = {
    "type": "array",
    "items": {"type": data_schema},
}

validated_data = validate(instance=data, schema=list_schema)

t1 = time()
duration = t1 - t0
print(f"Json_Schema validation lasted: {duration} sec")

This is the error I get:

jsonschema.exceptions.SchemaError: {'type': 'object', 'properties': {'name': {'type': 'string'}, 'city': {'type': 'string'}, 'closeness (1-5)': {'type': 'number'}, 'extrovert': {'type': 'boolean'}, 'favorite_temperature': {'type': 'number'}}} is not valid under any of the given schemas

Answer 1

"items": {"type": data_schema} should just be "items": data_schema.