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verification_webhook.py
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119 lines (93 loc) · 4.31 KB
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# coding: utf-8
"""
Bandwidth
Bandwidth's Communication APIs
The version of the OpenAPI document: 1.0.0
Contact: letstalk@bandwidth.com
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from bandwidth.models.tfv_callback_status_enum import TfvCallbackStatusEnum
from typing import Optional, Set
from typing_extensions import Self
class VerificationWebhook(BaseModel):
"""
VerificationWebhook
""" # noqa: E501
account_id: Optional[StrictStr] = Field(default=None, description="User's account ID.", alias="accountId")
phone_number: Optional[Annotated[str, Field(min_length=12, strict=True, max_length=12)]] = Field(default=None, description="Toll-free telephone number in E.164 format.", alias="phoneNumber")
status: Optional[TfvCallbackStatusEnum] = None
internal_ticket_number: Optional[StrictStr] = Field(default=None, description="Unique identifier (UUID) generated by Bandwidth to assist in tracking the verification status of a toll-free number.", alias="internalTicketNumber")
additional_properties: Dict[str, Any] = {}
__properties: ClassVar[List[str]] = ["accountId", "phoneNumber", "status", "internalTicketNumber"]
@field_validator('phone_number')
def phone_number_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if value is None:
return value
if not re.match(r"^\+1(800|833|844|855|866|877|888)[2-9]\d{6}$", value):
raise ValueError(r"must validate the regular expression /^\+1(800|833|844|855|866|877|888)[2-9]\d{6}$/")
return value
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of VerificationWebhook from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
* Fields in `self.additional_properties` are added to the output dict.
"""
excluded_fields: Set[str] = set([
"additional_properties",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# puts key-value pairs in additional_properties in the top level
if self.additional_properties is not None:
for _key, _value in self.additional_properties.items():
_dict[_key] = _value
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of VerificationWebhook from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"accountId": obj.get("accountId"),
"phoneNumber": obj.get("phoneNumber"),
"status": obj.get("status"),
"internalTicketNumber": obj.get("internalTicketNumber")
})
# store additional fields in additional_properties
for _key in obj.keys():
if _key not in cls.__properties:
_obj.additional_properties[_key] = obj.get(_key)
return _obj