from typing import List
from pydantic import BaseModel, ValidationError, conint

class Location(BaseModel):
    lat = 0.1
    lng = 10.1

class Model(BaseModel):
    is_required: float
    gt_int: conint(gt=42)
    list_of_ints: List[int] = None
    a_float: float = None
    recursive_model: Location = None

data = dict(
    list_of_ints=['1', 2, 'bad'],
    a_float='not a float',
    recursive_model={'lat': 4.2, 'lng': 'New York'},
    gt_int=21,
)

try:
    Model(**data)
except ValidationError as e:
    print(e)
"""
5 validation errors
list_of_ints -> 2
  value is not a valid integer (type=type_error.integer)
a_float
  value is not a valid float (type=type_error.float)
is_required
  field required (type=value_error.missing)
recursive_model -> lng
  value is not a valid float (type=type_error.float)
gt_int
  ensure this value is greater than 42 (type=value_error.number.gt; limit_value=42)
"""

try:
    Model(**data)
except ValidationError as e:
    print(e.json())

"""
[
  {
    "loc": ["is_required"],
    "msg": "field required",
    "type": "value_error.missing"
  },
  {
    "loc": ["gt_int"],
    "msg": "ensure this value is greater than 42",
    "type": "value_error.number.gt",
    "ctx": {
      "limit_value": 42
    }
  },
  {
    "loc": ["list_of_ints", 2],
    "msg": "value is not a valid integer",
    "type": "type_error.integer"
  },
  {
    "loc": ["a_float"],
    "msg": "value is not a valid float",
    "type": "type_error.float"
  },
  {
    "loc": ["recursive_model", "lng"],
    "msg": "value is not a valid float",
    "type": "type_error.float"
  }
]
"""