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# coding: utf-8
"""
Infrahub-API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
The version of the OpenAPI document: 1.0
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 datetime import datetime
from pydantic import BaseModel, StrictBool, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self
class FlavorFields(BaseModel):
"""
FlavorFields
""" # noqa: E501
id: Optional[StrictInt] = None
name: Optional[StrictStr] = None
region_name: Optional[StrictStr] = None
cpu: Optional[StrictInt] = None
ram: Optional[Union[StrictFloat, StrictInt]] = None
disk: Optional[StrictInt] = None
gpu: Optional[StrictStr] = None
gpu_count: Optional[StrictInt] = None
stock_available: Optional[StrictBool] = None
created_at: Optional[datetime] = None
__properties: ClassVar[List[str]] = ["id", "name", "region_name", "cpu", "ram", "disk", "gpu", "gpu_count", "stock_available", "created_at"]
model_config = {
"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 FlavorFields 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 FlavorFields from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"id": obj.get("id"),
"name": obj.get("name"),
"region_name": obj.get("region_name"),
"cpu": obj.get("cpu"),
"ram": obj.get("ram"),
"disk": obj.get("disk"),
"gpu": obj.get("gpu"),
"gpu_count": obj.get("gpu_count"),
"stock_available": obj.get("stock_available"),
"created_at": obj.get("created_at")
})
return _obj