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Co-authored-by: API Team <api-team@thousandeyes.com>
133 lines
6.1 KiB
Python
133 lines
6.1 KiB
Python
# coding: utf-8
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"""
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Tests API
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This API allows you to list, create, edit, and delete Network and Application Synthetics tests.
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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, StrictInt, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from thousandeyes_sdk.tests.models.alert_direction import AlertDirection
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from thousandeyes_sdk.tests.models.alert_rounds_violation_mode import AlertRoundsViolationMode
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from thousandeyes_sdk.tests.models.alert_type import AlertType
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from thousandeyes_sdk.tests.models.sensitivity_level import SensitivityLevel
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from thousandeyes_sdk.tests.models.severity import Severity
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from typing import Optional, Set
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from typing_extensions import Self
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class AlertRule(BaseModel):
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"""
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AlertRule
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""" # noqa: E501
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rule_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the rule.", alias="ruleId")
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rule_name: Optional[StrictStr] = Field(default=None, description="Name of the alert rule", alias="ruleName")
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expression: Optional[StrictStr] = Field(default=None, description="String expression of alert rule")
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direction: Optional[AlertDirection] = None
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is_default: Optional[StrictBool] = Field(default=None, description="Alert rules allow up to 1 alert rule to be selected as a default for each type. By checking the default option, this alert rule will be automatically included on subsequently created tests that test a metric used in alerting here", alias="isDefault")
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alert_type: Optional[AlertType] = Field(default=None, alias="alertType")
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minimum_sources: Optional[StrictInt] = Field(default=None, description="The minimum number of agents or monitors that must meet the specified criteria in order to trigger the alert", alias="minimumSources")
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minimum_sources_pct: Optional[StrictInt] = Field(default=None, description="the minimum percentage of all assigned agents or monitors that must meet the specified criteria in order to trigger the alert", alias="minimumSourcesPct")
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rounds_violating_mode: Optional[AlertRoundsViolationMode] = Field(default=None, alias="roundsViolatingMode")
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rounds_violating_out_of: Optional[StrictInt] = Field(default=None, description="Specifies the divisor (y value) for the “X of Y times” condition.", alias="roundsViolatingOutOf")
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rounds_violating_required: Optional[StrictInt] = Field(default=None, description="Specifies the numerator (x value) for the “X of Y times” condition", alias="roundsViolatingRequired")
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sensitivity_level: Optional[SensitivityLevel] = Field(default=None, alias="sensitivityLevel")
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severity: Optional[Severity] = None
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__properties: ClassVar[List[str]] = ["ruleId", "ruleName", "expression", "direction", "isDefault", "alertType", "minimumSources", "minimumSourcesPct", "roundsViolatingMode", "roundsViolatingOutOf", "roundsViolatingRequired", "sensitivityLevel", "severity"]
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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 AlertRule 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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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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* OpenAPI `readOnly` fields are excluded.
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"""
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excluded_fields: Set[str] = set([
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"rule_id",
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"rule_name",
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"expression",
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"is_default",
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"minimum_sources",
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"minimum_sources_pct",
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"rounds_violating_out_of",
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"rounds_violating_required",
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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 AlertRule 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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"ruleId": obj.get("ruleId"),
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"ruleName": obj.get("ruleName"),
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"expression": obj.get("expression"),
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"direction": obj.get("direction"),
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"isDefault": obj.get("isDefault"),
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"alertType": obj.get("alertType"),
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"minimumSources": obj.get("minimumSources"),
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"minimumSourcesPct": obj.get("minimumSourcesPct"),
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"roundsViolatingMode": obj.get("roundsViolatingMode"),
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"roundsViolatingOutOf": obj.get("roundsViolatingOutOf"),
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"roundsViolatingRequired": obj.get("roundsViolatingRequired"),
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"sensitivityLevel": obj.get("sensitivityLevel"),
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"severity": obj.get("severity")
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})
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return _obj
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