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103 lines
4.0 KiB
Python
103 lines
4.0 KiB
Python
# coding: utf-8
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"""
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Agents API
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## Overview Manage all agents available to your account in ThousandEyes, including both Cloud and Enterprise Agents.
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The version of the OpenAPI document: 7.0.13
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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 typing import Optional, Set
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from typing_extensions import Self
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class Link(BaseModel):
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"""
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A hyperlink from the containing resource to a URI.
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""" # noqa: E501
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href: StrictStr = Field(description="Its value is either a URI [RFC3986] or a URI template [RFC6570].")
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templated: Optional[StrictBool] = Field(default=None, description="Should be true when the link object's \"href\" property is a URI template.")
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type: Optional[StrictStr] = Field(default=None, description="Used as a hint to indicate the media type expected when dereferencing the target resource.")
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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.")
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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.")
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profile: Optional[StrictStr] = Field(default=None, description="A URI that hints about the profile of the target resource.")
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title: Optional[StrictStr] = Field(default=None, description="Intended for labelling the link with a human-readable identifier")
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hreflang: Optional[StrictStr] = Field(default=None, description="Indicates the language of the target resource")
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__properties: ClassVar[List[str]] = ["href", "templated", "type", "deprecation", "name", "profile", "title", "hreflang"]
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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 Link 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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"""
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excluded_fields: Set[str] = set([
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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 Link 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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"href": obj.get("href"),
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"templated": obj.get("templated"),
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"type": obj.get("type"),
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"deprecation": obj.get("deprecation"),
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"name": obj.get("name"),
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"profile": obj.get("profile"),
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"title": obj.get("title"),
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"hreflang": obj.get("hreflang")
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})
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return _obj
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