# coding: utf-8

"""
    Codex API

    List of endpoints and interfaces available to Codex API users

    The version of the OpenAPI document: 0.0.1
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictInt
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class Space(BaseModel):
    """
    Space
    """ # noqa: E501
    total_blocks: Optional[StrictInt] = Field(default=None, description="Number of blocks stored by the node", alias="totalBlocks")
    quota_max_bytes: Optional[StrictInt] = Field(default=None, description="Maximum storage space (in bytes) available for the node in Codex's local repository.", alias="quotaMaxBytes")
    quota_used_bytes: Optional[StrictInt] = Field(default=None, description="Amount of storage space (in bytes) currently used for storing files in Codex's local repository.", alias="quotaUsedBytes")
    quota_reserved_bytes: Optional[StrictInt] = Field(default=None, description="Amount of storage reserved (in bytes) in the Codex's local repository for future use when storage requests will be picked up and hosted by the node using node's availabilities. This does not include the storage currently in use.", alias="quotaReservedBytes")
    __properties: ClassVar[List[str]] = ["totalBlocks", "quotaMaxBytes", "quotaUsedBytes", "quotaReservedBytes"]

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

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

        _obj = cls.model_validate({
            "totalBlocks": obj.get("totalBlocks"),
            "quotaMaxBytes": obj.get("quotaMaxBytes"),
            "quotaUsedBytes": obj.get("quotaUsedBytes"),
            "quotaReservedBytes": obj.get("quotaReservedBytes")
        })
        return _obj