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3 changes: 3 additions & 0 deletionsservices/observability/src/stackit/observability/models/__init__.py
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14 changes: 4 additions & 10 deletions...ices/observability/src/stackit/observability/models/update_alert_configs_payload_route.py
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128 changes: 128 additions & 0 deletions...ility/src/stackit/observability/models/update_alert_configs_payload_route_routes_inner.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,128 @@ | ||
| # coding: utf-8 | ||
| """ | ||
| STACKIT Observability API | ||
| API endpoints for Observability on STACKIT | ||
| The version of the OpenAPI document: 1.1.1 | ||
| Contact: stackit-argus@mail.schwarz | ||
| Generated by OpenAPI Generator (https://openapi-generator.tech) | ||
| Do not edit the class manually. | ||
| """ # noqa: E501 | ||
| from __future__ import annotations | ||
| import json | ||
| import pprint | ||
| from typing import Any, ClassVar, Dict, List, Optional, Set | ||
| from pydantic import BaseModel, ConfigDict, Field, StrictBool | ||
| from typing_extensions import Annotated, Self | ||
| class UpdateAlertConfigsPayloadRouteRoutesInner(BaseModel): | ||
| """ | ||
| As in one level above | ||
| """ # noqa: E501 | ||
| var_continue: Optional[StrictBool] = Field(default=False, description="As in one level above", alias="continue") | ||
| group_by: Optional[List[Annotated[str, Field(min_length=1, strict=True, max_length=200)]]] = Field( | ||
| default=None, alias="groupBy" | ||
| ) | ||
| group_interval: Optional[Annotated[str, Field(min_length=2, strict=True, max_length=8)]] = Field( | ||
| default=None, description="As in one level above", alias="groupInterval" | ||
| ) | ||
| group_wait: Optional[Annotated[str, Field(strict=True, max_length=8)]] = Field( | ||
| default=None, description="As in one level above", alias="groupWait" | ||
| ) | ||
| match: Optional[Dict[str, Any]] = Field(default=None, description="As in one level above") | ||
| match_re: Optional[Dict[str, Any]] = Field(default=None, description="As in one level above", alias="matchRe") | ||
| matchers: Optional[List[Annotated[str, Field(min_length=1, strict=True, max_length=200)]]] = Field( | ||
| default=None, | ||
| description="A list of matchers that an alert has to fulfill to match the node. A matcher is a string with a syntax inspired by PromQL and OpenMetrics. The syntax of a matcher consists of three tokens: * A valid Prometheus label name. * One of =, !=, =~, or !~. = means equals, != means that the strings are not equal, =~ is used for equality of regex expressions and !~ is used for un-equality of regex expressions. They have the same meaning as known from PromQL selectors. * A UTF-8 string, which may be enclosed in double quotes. Before or after each token, there may be any amount of whitespace. `Additional Validators:` * should not contain more than 5 keys * each key and value should not be longer than 200 characters", | ||
| ) | ||
| receiver: Optional[Annotated[str, Field(min_length=1, strict=True, max_length=100)]] = Field( | ||
| default=None, description="As in one level above" | ||
| ) | ||
| repeat_interval: Optional[Annotated[str, Field(min_length=2, strict=True, max_length=8)]] = Field( | ||
| default=None, description="As in one level above", alias="repeatInterval" | ||
| ) | ||
| routes: Optional[List[Dict[str, Any]]] = Field(default=None, description="Another child routes") | ||
| __properties: ClassVar[List[str]] = [ | ||
| "continue", | ||
| "groupBy", | ||
| "groupInterval", | ||
| "groupWait", | ||
| "match", | ||
| "matchRe", | ||
| "matchers", | ||
| "receiver", | ||
| "repeatInterval", | ||
| "routes", | ||
| ] | ||
| 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 UpdateAlertConfigsPayloadRouteRoutesInner 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 UpdateAlertConfigsPayloadRouteRoutesInner from a dict""" | ||
| if obj is None: | ||
| return None | ||
| if not isinstance(obj, dict): | ||
| return cls.model_validate(obj) | ||
| _obj = cls.model_validate( | ||
| { | ||
| "continue": obj.get("continue") if obj.get("continue") is not None else False, | ||
| "groupBy": obj.get("groupBy"), | ||
| "groupInterval": obj.get("groupInterval"), | ||
| "groupWait": obj.get("groupWait"), | ||
| "match": obj.get("match"), | ||
| "matchRe": obj.get("matchRe"), | ||
| "matchers": obj.get("matchers"), | ||
| "receiver": obj.get("receiver"), | ||
| "repeatInterval": obj.get("repeatInterval"), | ||
| "routes": obj.get("routes"), | ||
| } | ||
| ) | ||
| return _obj |
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