from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
from .account_base import AccountBase
from .investment_transaction import InvestmentTransaction
from .item import Item
from .security import Security
[docs]class InvestmentsTransactionsGetResponse(BaseModel):
request_id: str
"""A unique identifier for the request, which can be used for troubleshooting. This identifier, like all Plaid identifiers, is case sensitive."""
total_investment_transactions: int
"""The total number of transactions available within the date range specified. If `total_investment_transactions` is larger than the size of the `transactions` array, more transactions are available and can be fetched via manipulating the `offset` parameter.'"""
item: Item
"""Metadata about the Item."""
investment_transactions: List[InvestmentTransaction]
"""The transactions being fetched"""
securities: List[Security]
"""All securities for which there is a corresponding transaction being fetched."""
accounts: List[AccountBase]
"""The accounts for which transaction history is being fetched."""
[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) -> "InvestmentsTransactionsGetResponse":
"""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) -> "InvestmentsTransactionsGetResponse":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)