from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
from .credit_bank_income_account import CreditBankIncomeAccount
from .credit_bank_income_source import CreditBankIncomeSource
[docs]class CreditBankIncomeItem(BaseModel):
item_id: Optional[str] = None
"""The unique identifier for the Item."""
bank_income_accounts: Optional[List[CreditBankIncomeAccount]] = None
"""The Item's accounts that have Bank Income data."""
bank_income_sources: Optional[List[CreditBankIncomeSource]] = None
"""The income sources for this Item. Each entry in the array is a single income source."""
last_updated_time: Optional[str] = None
"""The time when this Item's data was last retrieved from the financial institution."""
institution_id: Optional[str] = None
"""The unique identifier of the institution associated with the Item."""
institution_name: Optional[str] = None
"""The name of the institution associated with the Item."""
[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) -> "CreditBankIncomeItem":
"""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) -> "CreditBankIncomeItem":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)