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# coding: utf-8
"""
STACKIT Application Load Balancer API
This API offers an interface to provision and manage Application Load Balancers in your STACKIT project.This solution offers modern L7 load balancing. Current features include TLS, path and prefix based routing aswell as routing based on headers, query parameters and keeping connections persistent with cookies and web sockets. For each Application Load Balancer provided, two VMs are deployed in your STACKIT project and are subject to fees.
The version of the OpenAPI document: 2.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
import pprint
import re # noqa: F401
from typing import Any, ClassVar, Dict, List, Optional, Set
from pydantic import BaseModel, ConfigDict, Field, StrictInt, field_validator
from pydantic_core import to_jsonable_python
from typing_extensions import Annotated, Self
from stackit.alb.models.http_health_checks import HttpHealthChecks
class ActiveHealthCheck(BaseModel):
"""
Set this to customize active health checks for targets in this pool.
""" # noqa: E501
alt_port: Optional[StrictInt] = Field(
default=None, description="Overrides the default port used for health check probes.", alias="altPort"
)
healthy_threshold: Optional[Annotated[int, Field(strict=True, ge=1)]] = Field(
default=None, description="Healthy threshold of the health checking", alias="healthyThreshold"
)
http_health_checks: Optional[HttpHealthChecks] = Field(default=None, alias="httpHealthChecks")
interval: Optional[Annotated[str, Field(strict=True)]] = Field(
default=None, description="Interval duration of health checking in seconds"
)
interval_jitter: Optional[Annotated[str, Field(strict=True)]] = Field(
default=None,
description="Interval duration threshold of the health checking in seconds",
alias="intervalJitter",
)
timeout: Optional[Annotated[str, Field(strict=True)]] = Field(
default=None, description="Active health checking timeout duration in seconds"
)
unhealthy_threshold: Optional[Annotated[int, Field(strict=True, ge=1)]] = Field(
default=None, description="Unhealthy threshold of the health checking", alias="unhealthyThreshold"
)
__properties: ClassVar[List[str]] = [
"altPort",
"healthyThreshold",
"httpHealthChecks",
"interval",
"intervalJitter",
"timeout",
"unhealthyThreshold",
]
@field_validator("interval")
def interval_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if value is None:
return value
if not isinstance(value, str):
value = str(value)
if not re.match(r"^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$", value):
raise ValueError(r"must validate the regular expression /^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$/")
return value
@field_validator("interval_jitter")
def interval_jitter_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if value is None:
return value
if not isinstance(value, str):
value = str(value)
if not re.match(r"^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$", value):
raise ValueError(r"must validate the regular expression /^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$/")
return value
@field_validator("timeout")
def timeout_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if value is None:
return value
if not isinstance(value, str):
value = str(value)
if not re.match(r"^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$", value):
raise ValueError(r"must validate the regular expression /^-?(?:0|[1-9][0-9]{0,11})(?:\.[0-9]{1,9})?s$/")
return value
model_config = ConfigDict(
validate_by_name=True,
validate_by_alias=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"""
return json.dumps(to_jsonable_python(self.to_dict()))
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of ActiveHealthCheck 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 http_health_checks
if self.http_health_checks:
_dict["httpHealthChecks"] = self.http_health_checks.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of ActiveHealthCheck from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"altPort": obj.get("altPort"),
"healthyThreshold": obj.get("healthyThreshold"),
"httpHealthChecks": (
HttpHealthChecks.from_dict(obj["httpHealthChecks"])
if obj.get("httpHealthChecks") is not None
else None
),
"interval": obj.get("interval"),
"intervalJitter": obj.get("intervalJitter"),
"timeout": obj.get("timeout"),
"unhealthyThreshold": obj.get("unhealthyThreshold"),
}
)
return _obj