# coding: utf-8 """ Tests API This API supports listing, creating, editing, and deleting Cloud and Enterprise Agent (CEA) based tests. 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 from typing import Any, ClassVar, Dict, List, Optional from thousandeyes_sdk.tests.models.monitor_type import MonitorType from typing import Optional, Set from typing_extensions import Self class Monitor(BaseModel): """ Monitor """ # noqa: E501 country_id: Optional[StrictStr] = Field(default=None, description="Country ID", alias="countryId") monitor_id: Optional[StrictStr] = Field(default=None, description="BGP monitor ID", alias="monitorId") ip_address: Optional[StrictStr] = Field(default=None, description="IP address of the BGP monitor", alias="ipAddress") network: Optional[StrictStr] = Field(default=None, description="Name of the autonomous system in which the monitor is found") monitor_type: Optional[MonitorType] = Field(default=None, alias="monitorType") monitor_name: Optional[StrictStr] = Field(default=None, description="Display name of the BGP monitor", alias="monitorName") __properties: ClassVar[List[str]] = ["countryId", "monitorId", "ipAddress", "network", "monitorType", "monitorName"] 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 Monitor 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. * OpenAPI `readOnly` fields are excluded. * OpenAPI `readOnly` fields are excluded. """ excluded_fields: Set[str] = set([ "country_id", "monitor_id", ]) _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 Monitor from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "countryId": obj.get("countryId"), "monitorId": obj.get("monitorId"), "ipAddress": obj.get("ipAddress"), "network": obj.get("network"), "monitorType": obj.get("monitorType"), "monitorName": obj.get("monitorName") }) return _obj