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# coding: utf-8
"""
VCell API
VCell API
The version of the OpenAPI document: 1.0.1
Contact: vcell_support@uchc.com
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 typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel, StrictInt, StrictStr
from pydantic import Field
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class MathmodelRef(BaseModel):
"""
MathmodelRef
""" # noqa: E501
mm_key: Optional[StrictInt] = Field(default=None, alias="mmKey")
name: Optional[StrictStr] = None
owner_name: Optional[StrictStr] = Field(default=None, alias="ownerName")
owner_key: Optional[StrictInt] = Field(default=None, alias="ownerKey")
version_flag: Optional[StrictInt] = Field(default=None, alias="versionFlag")
__properties: ClassVar[List[str]] = ["mmKey", "name", "ownerName", "ownerKey", "versionFlag"]
model_config = {
"populate_by_name": True,
"validate_assignment": True
}
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) -> Self:
"""Create an instance of MathmodelRef 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.
"""
_dict = self.model_dump(
by_alias=True,
exclude={
},
exclude_none=True,
)
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of MathmodelRef from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
# raise errors for additional fields in the input
for _key in obj.keys():
if _key not in cls.__properties:
raise ValueError("Error due to additional fields (not defined in MathmodelRef) in the input: " + _key)
_obj = cls.model_validate({
"mmKey": obj.get("mmKey"),
"name": obj.get("name"),
"ownerName": obj.get("ownerName"),
"ownerKey": obj.get("ownerKey"),
"versionFlag": obj.get("versionFlag")
})
return _obj
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