# coding: utf-8 """ Instant Tests API The Instant Tests API operations lets you create and run new instant tests. You will need to be an Account Admin. The response does not include the immediate test results. Use the Test Results endpoints to get test results after creating and executing an instant test. You can find the URLs for these endpoints in the _links section of the test definition that is returned when you create the instant test. 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, StrictBool, StrictStr from typing import Any, ClassVar, Dict, List, Optional from thousandeyes_sdk.instant_tests.models.cloud_enterprise_agent_type import CloudEnterpriseAgentType from thousandeyes_sdk.instant_tests.models.coordinates import Coordinates from typing import Optional, Set from typing_extensions import Self class AgentResponse(BaseModel): """ AgentResponse """ # noqa: E501 ip_addresses: Optional[List[StrictStr]] = Field(default=None, description="Array of private IP addresses.", alias="ipAddresses") public_ip_addresses: Optional[List[StrictStr]] = Field(default=None, description="Array of public IP addresses.", alias="publicIpAddresses") network: Optional[StrictStr] = Field(default=None, description="Network (including ASN) of agent’s public IP.") agent_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the agent.", alias="agentId") agent_name: Optional[StrictStr] = Field(default=None, description="Name of the agent.", alias="agentName") location: Optional[StrictStr] = Field(default=None, description="Location of the agent.") country_id: Optional[StrictStr] = Field(default=None, description="2-digit ISO country code", alias="countryId") coordinates: Optional[Coordinates] = None enabled: Optional[StrictBool] = Field(default=None, description="Flag indicating if the agent is enabled.") verify_ssl_certificates: Optional[StrictBool] = Field(default=None, description="Flag indicating if has normal SSL operations or if instead it's set to ignore SSL errors on browserbot-based tests.", alias="verifySslCertificates") prefix: Optional[StrictStr] = Field(default=None, description="Prefix containing agents public IP address.") agent_type: CloudEnterpriseAgentType = Field(alias="agentType") __properties: ClassVar[List[str]] = ["ipAddresses", "publicIpAddresses", "network", "agentId", "agentName", "location", "countryId", "coordinates", "enabled", "verifySslCertificates", "prefix", "agentType"] 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 AgentResponse 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. * OpenAPI `readOnly` fields are excluded. * OpenAPI `readOnly` fields are excluded. * OpenAPI `readOnly` fields are excluded. * OpenAPI `readOnly` fields are excluded. * OpenAPI `readOnly` fields are excluded. * OpenAPI `readOnly` fields are excluded. """ excluded_fields: Set[str] = set([ "ip_addresses", "public_ip_addresses", "network", "agent_id", "location", "country_id", "verify_ssl_certificates", "prefix", ]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) # override the default output from pydantic by calling `to_dict()` of coordinates if self.coordinates: _dict['coordinates'] = self.coordinates.to_dict() return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of AgentResponse from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "ipAddresses": obj.get("ipAddresses"), "publicIpAddresses": obj.get("publicIpAddresses"), "network": obj.get("network"), "agentId": obj.get("agentId"), "agentName": obj.get("agentName"), "location": obj.get("location"), "countryId": obj.get("countryId"), "coordinates": Coordinates.from_dict(obj["coordinates"]) if obj.get("coordinates") is not None else None, "enabled": obj.get("enabled"), "verifySslCertificates": obj.get("verifySslCertificates"), "prefix": obj.get("prefix"), "agentType": obj.get("agentType") }) return _obj