# 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: 7.0.13 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 typing import Optional, Set from typing_extensions import Self class Link(BaseModel): """ A hyperlink from the containing resource to a URI. """ # noqa: E501 href: StrictStr = Field(description="Its value is either a URI [RFC3986] or a URI template [RFC6570].") templated: Optional[StrictBool] = Field(default=None, description="Should be true when the link object's \"href\" property is a URI template.") type: Optional[StrictStr] = Field(default=None, description="Used as a hint to indicate the media type expected when dereferencing the target resource.") deprecation: Optional[StrictStr] = Field(default=None, description="Its presence indicates that the link is to be deprecated at a future date. Its value is a URL that should provide further information about the deprecation.") name: Optional[StrictStr] = Field(default=None, description="Its value may be used as a secondary key for selecting link objects that share the same relation type.") profile: Optional[StrictStr] = Field(default=None, description="A URI that hints about the profile of the target resource.") title: Optional[StrictStr] = Field(default=None, description="Intended for labelling the link with a human-readable identifier") hreflang: Optional[StrictStr] = Field(default=None, description="Indicates the language of the target resource") __properties: ClassVar[List[str]] = ["href", "templated", "type", "deprecation", "name", "profile", "title", "hreflang"] 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 Link 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 Link from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "href": obj.get("href"), "templated": obj.get("templated"), "type": obj.get("type"), "deprecation": obj.get("deprecation"), "name": obj.get("name"), "profile": obj.get("profile"), "title": obj.get("title"), "hreflang": obj.get("hreflang") }) return _obj