pydantic错误处理

错误处理

• 每当pydantic在它正在验证的数据中发现错误时，它就会引发。ValidationError

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,
)

• str(e)：方法将返回错误的人类可读表示形式。

  5 validation errors for Model
  is_required
    field required (type=value_error.missing)
  gt_int
    ensure this value is greater than 42 (type=value_error.number.not_gt; limit_value=42)
  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)
  recursive_model -> lng
    value is not a valid float (type=type_error.float)
  

• e.errors()：方法将返回在输入数据中发现的错误列表

  [{'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.not_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'}]
  

• e.json()：方法将返回 的 JSON 表示形式

  
  [
    {
      "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.not_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"
    }
  ]