thousandeyes-sdk-python/thousandeyes-sdk-tests/src/thousandeyes_sdk/tests/models/alert_rule.py
Miguel Pragosa dcf0f54d56
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[GitHub Bot] Generated python SDK (#96)
Co-authored-by: API Team <api-team@thousandeyes.com>
2025-04-02 12:58:49 +01:00

133 lines
6.1 KiB
Python

# coding: utf-8
"""
Tests API
This API allows you to list, create, edit, and delete Network and Application Synthetics tests.
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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from thousandeyes_sdk.tests.models.alert_direction import AlertDirection
from thousandeyes_sdk.tests.models.alert_rounds_violation_mode import AlertRoundsViolationMode
from thousandeyes_sdk.tests.models.alert_type import AlertType
from thousandeyes_sdk.tests.models.sensitivity_level import SensitivityLevel
from thousandeyes_sdk.tests.models.severity import Severity
from typing import Optional, Set
from typing_extensions import Self
class AlertRule(BaseModel):
"""
AlertRule
""" # noqa: E501
rule_id: Optional[StrictStr] = Field(default=None, description="Unique ID of the rule.", alias="ruleId")
rule_name: Optional[StrictStr] = Field(default=None, description="Name of the alert rule", alias="ruleName")
expression: Optional[StrictStr] = Field(default=None, description="String expression of alert rule")
direction: Optional[AlertDirection] = None
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")
alert_type: Optional[AlertType] = Field(default=None, alias="alertType")
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")
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")
rounds_violating_mode: Optional[AlertRoundsViolationMode] = Field(default=None, alias="roundsViolatingMode")
rounds_violating_out_of: Optional[StrictInt] = Field(default=None, description="Specifies the divisor (y value) for the “X of Y times” condition.", alias="roundsViolatingOutOf")
rounds_violating_required: Optional[StrictInt] = Field(default=None, description="Specifies the numerator (x value) for the “X of Y times” condition", alias="roundsViolatingRequired")
sensitivity_level: Optional[SensitivityLevel] = Field(default=None, alias="sensitivityLevel")
severity: Optional[Severity] = None
__properties: ClassVar[List[str]] = ["ruleId", "ruleName", "expression", "direction", "isDefault", "alertType", "minimumSources", "minimumSourcesPct", "roundsViolatingMode", "roundsViolatingOutOf", "roundsViolatingRequired", "sensitivityLevel", "severity"]
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 AlertRule 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.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
* OpenAPI `readOnly` fields are excluded.
"""
excluded_fields: Set[str] = set([
"rule_id",
"rule_name",
"expression",
"is_default",
"minimum_sources",
"minimum_sources_pct",
"rounds_violating_out_of",
"rounds_violating_required",
])
_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 AlertRule from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"ruleId": obj.get("ruleId"),
"ruleName": obj.get("ruleName"),
"expression": obj.get("expression"),
"direction": obj.get("direction"),
"isDefault": obj.get("isDefault"),
"alertType": obj.get("alertType"),
"minimumSources": obj.get("minimumSources"),
"minimumSourcesPct": obj.get("minimumSourcesPct"),
"roundsViolatingMode": obj.get("roundsViolatingMode"),
"roundsViolatingOutOf": obj.get("roundsViolatingOutOf"),
"roundsViolatingRequired": obj.get("roundsViolatingRequired"),
"sensitivityLevel": obj.get("sensitivityLevel"),
"severity": obj.get("severity")
})
return _obj