# coding: utf-8

"""
    STACKIT File Storage (SFS)

    API used to create and manage NFS Shares.

    The version of the OpenAPI document: 1.0.0
    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, Union

from pydantic import (
    BaseModel,
    ConfigDict,
    Field,
    StrictFloat,
    StrictInt,
)
from typing_extensions import Self


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

    available_gigabytes: Optional[Union[StrictFloat, StrictInt]] = Field(
        default=None,
        description="Available space of the Resource Pool   (only available when retrieving a single Resource Pool by ID)",
        alias="availableGigabytes",
    )
    size_gigabytes: Optional[StrictInt] = Field(
        default=None, description="Size of the Resource Pool in Gibibytes.", alias="sizeGigabytes"
    )
    used_gigabytes: Optional[Union[StrictFloat, StrictInt]] = Field(
        default=None,
        description="Used space of the Resource Pool   (only available when retrieving a single Resource Pool by ID)",
        alias="usedGigabytes",
    )
    __properties: ClassVar[List[str]] = ["availableGigabytes", "sizeGigabytes", "usedGigabytes"]

    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 ResourcePoolSpace 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,
        )
        # set to None if available_gigabytes (nullable) is None
        # and model_fields_set contains the field
        if self.available_gigabytes is None and "available_gigabytes" in self.model_fields_set:
            _dict["availableGigabytes"] = None

        # set to None if used_gigabytes (nullable) is None
        # and model_fields_set contains the field
        if self.used_gigabytes is None and "used_gigabytes" in self.model_fields_set:
            _dict["usedGigabytes"] = None

        return _dict

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

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

        _obj = cls.model_validate(
            {
                "availableGigabytes": obj.get("availableGigabytes"),
                "sizeGigabytes": obj.get("sizeGigabytes"),
                "usedGigabytes": obj.get("usedGigabytes"),
            }
        )
        return _obj
