from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
[docs]class IncomeVerificationPrecheckResponse(BaseModel):
precheck_id: str
"""ID of the precheck. Provide this value when calling `/link/token/create` in order to optimize Link conversion."""
request_id: str
"""A unique identifier for the request, which can be used for troubleshooting. This identifier, like all Plaid identifiers, is case sensitive."""
confidence: str
"""The confidence that Plaid can support the user in the digital income verification flow instead of requiring a manual paystub upload. One of the following:
`"HIGH"`: It is very likely that this user can use the digital income verification flow.
"`LOW`": It is unlikely that this user can use the digital income verification flow.
`"UNKNOWN"`: It was not possible to determine if the user is supportable with the information passed."""
[docs] def json(self, **kwargs: Any) -> str:
"""Return a json string representation of the object. Takes same keyword arguments as pydantic.BaseModel.json"""
kwargs.setdefault("by_alias", True)
return super().json(**kwargs)
[docs] def dict(self, **kwargs: Any) -> Dict[str, Any]:
"""Return a dict representation of the object. Takes same keyword arguments as pydantic.BaseModel.dict"""
kwargs.setdefault("by_alias", True)
return super().dict(**kwargs)
[docs] @classmethod
def parse_obj(cls, data: Any) -> "IncomeVerificationPrecheckResponse":
"""Parse a dict into the object. Takes same keyword arguments as pydantic.BaseModel.parse_obj"""
return super().parse_obj(data)
[docs] @classmethod
def parse_raw(cls, b: Union[bytes, str], **kwargs: Any) -> "IncomeVerificationPrecheckResponse":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)