http_health_checks.py

# 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
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Self

from stackit.alb.models.tls_config import TlsConfig


class HttpHealthChecks(BaseModel):
    """
    Options for the HTTP health checking.
    """  # noqa: E501

    ok_statuses: Optional[List[StrictStr]] = Field(
        default=None, description="List of HTTP status codes that indicate a healthy response", alias="okStatuses"
    )
    path: Optional[StrictStr] = Field(default=None, description="Path to send the health check request to")
    tls: Optional[TlsConfig] = None
    __properties: ClassVar[List[str]] = ["okStatuses", "path", "tls"]

    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 HttpHealthChecks 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 tls
        if self.tls:
            _dict["tls"] = self.tls.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of HttpHealthChecks from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate(
            {
                "okStatuses": obj.get("okStatuses"),
                "path": obj.get("path"),
                "tls": TlsConfig.from_dict(obj["tls"]) if obj.get("tls") is not None else None,
            }
        )
        return _obj