# 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, StrictBool, StrictInt, StrictStr from typing import Any, ClassVar, Dict, List, Optional from typing import Optional, Set from typing_extensions import Self class SalesAvailability(BaseModel): """ SalesAvailability """ # noqa: E501 total_size: StrictInt = Field(description="Total size of availability's storage in bytes", alias="totalSize") duration: StrictInt = Field(description="The duration of the request in seconds") min_price_per_byte_per_second: StrictStr = Field(description="Minimal price per byte per second paid (in amount of tokens) for the hosted request's slot for the request's duration as decimal string", alias="minPricePerBytePerSecond") total_collateral: StrictStr = Field(description="Total collateral (in amount of tokens) that can be used for matching requests", alias="totalCollateral") enabled: Optional[StrictBool] = Field(default=True, description="Enable the ability to receive sales on this availability.") until: Optional[StrictInt] = Field(default=0, description="Specifies the latest timestamp, after which the availability will no longer host any slots. If set to 0, there will be no restrictions.") __properties: ClassVar[List[str]] = ["totalSize", "duration", "minPricePerBytePerSecond", "totalCollateral", "enabled", "until"] 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 SalesAvailability 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 SalesAvailability from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "totalSize": obj.get("totalSize"), "duration": obj.get("duration"), "minPricePerBytePerSecond": obj.get("minPricePerBytePerSecond"), "totalCollateral": obj.get("totalCollateral"), "enabled": obj.get("enabled") if obj.get("enabled") is not None else True, "until": obj.get("until") if obj.get("until") is not None else 0 }) return _obj