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load_balancer_options.py
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116 lines (94 loc) · 4.43 KB
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# coding: utf-8
"""
Application Load Balancer API
### DEPRECATED! Use v2beta2 instead. This API offers an interface to provision and manage load balancing servers in your STACKIT project. It also has the possibility of pooling target servers for load balancing purposes. For each application load balancer provided, two VMs are deployed in your OpenStack project subject to a fee.
The version of the OpenAPI document: 2beta.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501 docstring might be too long
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 Self
from stackit.alb.models.loadbalancer_option_access_control import (
LoadbalancerOptionAccessControl,
)
from stackit.alb.models.loadbalancer_option_observability import (
LoadbalancerOptionObservability,
)
class LoadBalancerOptions(BaseModel):
"""
Defines any optional functionality you want to have enabled on your application load balancer.
"""
access_control: Optional[LoadbalancerOptionAccessControl] = Field(default=None, alias="accessControl")
ephemeral_address: Optional[StrictBool] = Field(default=None, alias="ephemeralAddress")
observability: Optional[LoadbalancerOptionObservability] = None
private_network_only: Optional[StrictBool] = Field(
default=None,
description="Application Load Balancer is accessible only via a private network ip address. Not changeable after creation.",
alias="privateNetworkOnly",
)
__properties: ClassVar[List[str]] = ["accessControl", "ephemeralAddress", "observability", "privateNetworkOnly"]
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 LoadBalancerOptions 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 access_control
if self.access_control:
_dict["accessControl"] = self.access_control.to_dict()
# override the default output from pydantic by calling `to_dict()` of observability
if self.observability:
_dict["observability"] = self.observability.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of LoadBalancerOptions from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"accessControl": (
LoadbalancerOptionAccessControl.from_dict(obj["accessControl"])
if obj.get("accessControl") is not None
else None
),
"ephemeralAddress": obj.get("ephemeralAddress"),
"observability": (
LoadbalancerOptionObservability.from_dict(obj["observability"])
if obj.get("observability") is not None
else None
),
"privateNetworkOnly": obj.get("privateNetworkOnly"),
}
)
return _obj