# coding: utf-8 """ Agents API ## Overview Manage all agents available to your account in ThousandEyes, including both Cloud and Enterprise Agents. The version of the OpenAPI document: 7.0.6 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 from typing import Any, ClassVar, Dict, List, Optional from thousandeyes_sdk.agents.models.cloud_enterprise_agent import CloudEnterpriseAgent from thousandeyes_sdk.agents.models.self_links import SelfLinks from typing import Optional, Set from typing_extensions import Self class CloudEnterpriseAgents(BaseModel): """ CloudEnterpriseAgents """ # noqa: E501 agents: Optional[List[CloudEnterpriseAgent]] = None links: Optional[SelfLinks] = Field(default=None, alias="_links") __properties: ClassVar[List[str]] = ["agents", "_links"] 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 CloudEnterpriseAgents 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, ) # override the default output from pydantic by calling `to_dict()` of each item in agents (list) _items = [] if self.agents: for _item in self.agents: if _item: _items.append(_item.to_dict()) _dict['agents'] = _items # override the default output from pydantic by calling `to_dict()` of links if self.links: _dict['_links'] = self.links.to_dict() return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of CloudEnterpriseAgents from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "agents": [CloudEnterpriseAgent.from_dict(_item) for _item in obj["agents"]] if obj.get("agents") is not None else None, "_links": SelfLinks.from_dict(obj["_links"]) if obj.get("_links") is not None else None }) return _obj