from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field
[docs]class CustomerInitiatedReturnRisk(BaseModel):
score: int
"""A score from 0-99 that indicates the transaction return risk: a higher risk score suggests a higher return likelihood."""
risk_tier: int
"""A tier corresponding to the projected likelihood that the transaction, if initiated, will be subject to a return.
In the `customer_initiated_return_risk` object, there are five risk tiers corresponding to the scores:
1: Predicted customer-initiated return incidence rate between 0.00% - 0.02%
2: Predicted customer-initiated return incidence rate between 0.02% - 0.05%
3: Predicted customer-initiated return incidence rate between 0.05% - 0.1%
4: Predicted customer-initiated return incidence rate between 0.1% - 0.5%
5: Predicted customer-initiated return incidence rate greater than 0.5%
"""
[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) -> "CustomerInitiatedReturnRisk":
"""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) -> "CustomerInitiatedReturnRisk":
"""Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw"""
return super().parse_raw(b, **kwargs)