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Co-authored-by: API Team <api-team@thousandeyes.com>
125 lines
5.1 KiB
Python
125 lines
5.1 KiB
Python
# coding: utf-8
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"""
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Agents API
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## Overview Manage Cloud and Enterprise Agents available to your account in ThousandEyes.
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from thousandeyes_sdk.agents.models.cloud_enterprise_agent_type import CloudEnterpriseAgentType
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from typing import Optional, Set
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from typing_extensions import Self
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class AgentResponse(BaseModel):
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"""
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AgentResponse
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""" # noqa: E501
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ip_addresses: Optional[List[StrictStr]] = Field(default=None, description="Array of private IP addresses.", alias="ipAddresses")
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public_ip_addresses: Optional[List[StrictStr]] = Field(default=None, description="Array of public IP addresses.", alias="publicIpAddresses")
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network: Optional[StrictStr] = Field(default=None, description="Network (including ASN) of agent’s public IP.")
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agent_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the agent.", alias="agentId")
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agent_name: Optional[StrictStr] = Field(default=None, description="Name of the agent.", alias="agentName")
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location: Optional[StrictStr] = Field(default=None, description="Location of the agent.")
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country_id: Optional[StrictStr] = Field(default=None, description="2-digit ISO country code", alias="countryId")
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enabled: Optional[StrictBool] = Field(default=None, description="Flag indicating if the agent is enabled.")
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prefix: Optional[StrictStr] = Field(default=None, description="Prefix containing agents public IP address.")
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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")
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agent_type: CloudEnterpriseAgentType = Field(alias="agentType")
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__properties: ClassVar[List[str]] = ["ipAddresses", "publicIpAddresses", "network", "agentId", "agentName", "location", "countryId", "enabled", "prefix", "verifySslCertificates", "agentType"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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extra="allow",
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of AgentResponse from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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"""
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excluded_fields: Set[str] = set([
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"ip_addresses",
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"public_ip_addresses",
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"network",
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"agent_id",
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"location",
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"country_id",
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"prefix",
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"verify_ssl_certificates",
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of AgentResponse from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"ipAddresses": obj.get("ipAddresses"),
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"publicIpAddresses": obj.get("publicIpAddresses"),
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"network": obj.get("network"),
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"agentId": obj.get("agentId"),
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"agentName": obj.get("agentName"),
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"location": obj.get("location"),
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"countryId": obj.get("countryId"),
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"enabled": obj.get("enabled"),
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"prefix": obj.get("prefix"),
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"verifySslCertificates": obj.get("verifySslCertificates"),
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"agentType": obj.get("agentType")
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})
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return _obj
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