usage_item.py

# coding: utf-8

"""
STACKIT Application Load Balancer Certificates API

This API offers the ability to store TLS certificates, which can be used by load balancing servers in STACKIT. They can be between consumer and load balancing server and/or between load balancing server and endpoint server.

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 pydantic_core import to_jsonable_python
from typing_extensions import Self


class UsageItem(BaseModel):
    """
    UsageItem
    """  # noqa: E501

    listener_names: Optional[List[StrictStr]] = Field(
        default=None,
        description="The list of listener names in this Load Balancer, that are using the certificate.",
        alias="listenerNames",
    )
    load_balancer_name: Optional[StrictStr] = Field(
        default=None, description="The display name of the Load Balancer.", alias="loadBalancerName"
    )
    __properties: ClassVar[List[str]] = ["listenerNames", "loadBalancerName"]

    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 UsageItem 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 UsageItem from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {"listenerNames": obj.get("listenerNames"), "loadBalancerName": obj.get("loadBalancerName")}
        )
        return _obj