usage.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, StrictInt
from pydantic_core import to_jsonable_python
from typing_extensions import Self

from stackit.certificates.models.usage_item import UsageItem


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

    count: Optional[StrictInt] = Field(default=None, description="Number of listeners using this certificate.")
    items: Optional[List[UsageItem]] = Field(
        default=None, description="List of Load Balancers with their associated listeners that use this certificate."
    )
    __properties: ClassVar[List[str]] = ["count", "items"]

    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 Usage 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 each item in items (list)
        _items = []
        if self.items:
            for _item_items in self.items:
                if _item_items:
                    _items.append(_item_items.to_dict())
            _dict["items"] = _items
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "count": obj.get("count"),
                "items": (
                    [UsageItem.from_dict(_item) for _item in obj["items"]] if obj.get("items") is not None else None
                ),
            }
        )
        return _obj