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Co-authored-by: API Team <api-team@thousandeyes.com>
94 lines
3.6 KiB
Python
94 lines
3.6 KiB
Python
# coding: utf-8
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"""
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Endpoint Agents API
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**Note:** The Endpoint Agents Transfer APIs are not available for ThousandEyes for Government instance. Manage ThousandEyes Endpoint Agents using this API. For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).
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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
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from typing import Any, ClassVar, Dict, List, Optional, Union
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from typing_extensions import Annotated
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from thousandeyes_sdk.endpoint_agents.models.battery_level import BatteryLevel
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from typing import Optional, Set
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from typing_extensions import Self
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class BatteryMetrics(BaseModel):
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"""
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Battery metrics for the endpoint agent.
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""" # noqa: E501
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battery_health_normalized_percent: Optional[Union[Annotated[float, Field(le=1, strict=True, ge=0)], Annotated[int, Field(le=1, strict=True, ge=0)]]] = Field(default=None, description="Battery health as a normalized percentage (0-1).", alias="batteryHealthNormalizedPercent")
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battery_level: BatteryLevel = Field(alias="batteryLevel")
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battery_level_normalized_percent: Union[Annotated[float, Field(le=1, strict=True, ge=0)], Annotated[int, Field(le=1, strict=True, ge=0)]] = Field(description="Battery level as a normalized percentage (0-1).", alias="batteryLevelNormalizedPercent")
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__properties: ClassVar[List[str]] = ["batteryHealthNormalizedPercent", "batteryLevel", "batteryLevelNormalizedPercent"]
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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 BatteryMetrics 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 BatteryMetrics 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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"batteryHealthNormalizedPercent": obj.get("batteryHealthNormalizedPercent"),
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"batteryLevel": obj.get("batteryLevel"),
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"batteryLevelNormalizedPercent": obj.get("batteryLevelNormalizedPercent")
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})
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return _obj
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