# coding: utf-8 """ Endpoint Agents API Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents). 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, StrictInt, StrictStr from typing import Any, ClassVar, Dict, List, Optional from thousandeyes_sdk.endpoint_agents.models.address_type import AddressType from typing import Optional, Set from typing_extensions import Self class AddressProfile(BaseModel): """ A description of the IPs assigned to this machine. """ # noqa: E501 address_type: Optional[AddressType] = Field(default=None, alias="addressType") ip_address: Optional[StrictStr] = Field(default=None, description="IP address of this interface in the network it's currently connected to.", alias="ipAddress") prefix_length: Optional[StrictInt] = Field(default=None, description="The number of bits representing the network part of the `ipAddress`.", alias="prefixLength") gateway: Optional[StrictStr] = Field(default=None, description="The default gateway for this interface.") router_hardware_address: Optional[StrictStr] = Field(default=None, description="The router's MAC address resolved from an ARP request.", alias="routerHardwareAddress") __properties: ClassVar[List[str]] = ["addressType", "ipAddress", "prefixLength", "gateway", "routerHardwareAddress"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), extra="allow", ) 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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True) @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of AddressProfile 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. """ excluded_fields: Set[str] = set([ ]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of AddressProfile from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "addressType": obj.get("addressType"), "ipAddress": obj.get("ipAddress"), "prefixLength": obj.get("prefixLength"), "gateway": obj.get("gateway"), "routerHardwareAddress": obj.get("routerHardwareAddress") }) return _obj