# coding: utf-8 """ Tests API This API supports listing, creating, editing, and deleting Cloud and Enterprise Agent (CEA) based tests. The version of the OpenAPI document: 7.0.4 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 TestLabel(BaseModel): """ TestLabel """ # noqa: E501 label_id: Optional[StrictStr] = Field(default=None, description="Label ID.", alias="labelId") name: Optional[StrictStr] = Field(default=None, description="Name of the label.") is_builtin: Optional[StrictBool] = Field(default=None, description="Value indicating if the label in question is BuiltIn (Account Admin, Organization Admin, Regular User).", alias="isBuiltin") __properties: ClassVar[List[str]] = ["labelId", "name", "isBuiltin"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), ) 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 json.dumps(self.to_dict()) @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of TestLabel 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 TestLabel from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "labelId": obj.get("labelId"), "name": obj.get("name"), "isBuiltin": obj.get("isBuiltin") }) return _obj