from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
[docs]class SignalDecisionReportRequest(BaseModel):
days_funds_on_hold: Optional[int] = None
"""The actual number of days (hold time) since the ACH debit transaction that you wait before making funds available to your customers. The holding time could affect the ACH return rate. For example, use 0 if you make funds available to your customers instantly or the same day following the debit transaction, or 1 if you make funds available the next day following the debit initialization."""
initiated: bool
"""`true` if the ACH transaction was initiated, `false` otherwise."""
client_transaction_id: str
"""Must be the same as the `client_transaction_id` supplied when calling `/signal/evaluate`"""
[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) -> "SignalDecisionReportRequest":
"""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) -> "SignalDecisionReportRequest":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)