# coding: utf-8 """ Dashboards API Manage ThousandEyes Dashboards. 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, StrictFloat, StrictInt, StrictStr from typing import Any, ClassVar, Dict, List, Optional, Union from thousandeyes_sdk.dashboards.models.api_duration import ApiDuration from thousandeyes_sdk.dashboards.models.api_widget_fixed_y_scale_prefix import ApiWidgetFixedYScalePrefix from thousandeyes_sdk.dashboards.models.api_widget_measure import ApiWidgetMeasure from thousandeyes_sdk.dashboards.models.dashboard_metric import DashboardMetric from thousandeyes_sdk.dashboards.models.dashboard_metric_direction import DashboardMetricDirection from thousandeyes_sdk.dashboards.models.metric_group import MetricGroup from thousandeyes_sdk.dashboards.models.numbers_card_datasource import NumbersCardDatasource from typing import Optional, Set from typing_extensions import Self class ApiNumbersCard(BaseModel): """ An individual number card within the numbers card widget. """ # noqa: E501 min_scale: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Minimum scale configured in the widget.", alias="minScale") max_scale: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Maximum scale configured in the widget.", alias="maxScale") unit: Optional[ApiWidgetFixedYScalePrefix] = None id: Optional[StrictStr] = Field(default=None, description="Identifier of the widget.") description: Optional[StrictStr] = Field(default=None, description="Description of the number card.") measure: Optional[ApiWidgetMeasure] = None compare_to_previous_value: Optional[StrictBool] = Field(default=None, alias="compareToPreviousValue") fixed_timespan: Optional[ApiDuration] = Field(default=None, alias="fixedTimespan") should_exclude_alert_suppression_windows: Optional[StrictBool] = Field(default=None, description="Excludes alert suppression windows from the widget when set to `true`.", alias="shouldExcludeAlertSuppressionWindows") data_source: Optional[NumbersCardDatasource] = Field(default=None, alias="dataSource") metric_group: Optional[MetricGroup] = Field(default=None, alias="metricGroup") direction: Optional[DashboardMetricDirection] = None metric: Optional[DashboardMetric] = None filters: Optional[Dict[str, List[Any]]] = Field(default=None, description="(Optional) Specifies the filters applied to the widget. When present, the `filters` property displays. Each filter object has two properties: `filterProperty` and `filterValue`. The `filterProperty` can be values like `AGENT`, `ENDPOINT_MACHINE_ID`, `TEST`, `MONITOR`, etc. The `filterValue` represents an identifier array of the selected property.") __properties: ClassVar[List[str]] = ["minScale", "maxScale", "unit", "id", "description", "measure", "compareToPreviousValue", "fixedTimespan", "shouldExcludeAlertSuppressionWindows", "dataSource", "metricGroup", "direction", "metric", "filters"] 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 ApiNumbersCard 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 measure if self.measure: _dict['measure'] = self.measure.to_dict() # override the default output from pydantic by calling `to_dict()` of fixed_timespan if self.fixed_timespan: _dict['fixedTimespan'] = self.fixed_timespan.to_dict() return _dict @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of ApiNumbersCard from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "minScale": obj.get("minScale"), "maxScale": obj.get("maxScale"), "unit": obj.get("unit"), "id": obj.get("id"), "description": obj.get("description"), "measure": ApiWidgetMeasure.from_dict(obj["measure"]) if obj.get("measure") is not None else None, "compareToPreviousValue": obj.get("compareToPreviousValue"), "fixedTimespan": ApiDuration.from_dict(obj["fixedTimespan"]) if obj.get("fixedTimespan") is not None else None, "shouldExcludeAlertSuppressionWindows": obj.get("shouldExcludeAlertSuppressionWindows"), "dataSource": obj.get("dataSource"), "metricGroup": obj.get("metricGroup"), "direction": obj.get("direction"), "metric": obj.get("metric"), "filters": obj.get("filters") }) return _obj