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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, StrictBool, StrictStr
from pydantic import Field
from vcell_client.models.domain import Domain
from vcell_client.models.variable_type import VariableType
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class DataIdentifier(BaseModel):
"""
DataIdentifier
""" # noqa: E501
name: Optional[StrictStr] = None
display_name: Optional[StrictStr] = Field(default=None, alias="displayName")
variable_type: Optional[VariableType] = Field(default=None, alias="variableType")
domain: Optional[Domain] = None
b_function: Optional[StrictBool] = Field(default=None, alias="bFunction")
function: Optional[StrictBool] = None
visible: Optional[StrictBool] = None
__properties: ClassVar[List[str]] = ["name", "displayName", "variableType", "domain", "bFunction", "function", "visible"]
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 DataIdentifier 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,
)
# override the default output from pydantic by calling `to_dict()` of variable_type
if self.variable_type:
_dict['variableType'] = self.variable_type.to_dict()
# override the default output from pydantic by calling `to_dict()` of domain
if self.domain:
_dict['domain'] = self.domain.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of DataIdentifier 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 DataIdentifier) in the input: " + _key)
_obj = cls.model_validate({
"name": obj.get("name"),
"displayName": obj.get("displayName"),
"variableType": VariableType.from_dict(obj.get("variableType")) if obj.get("variableType") is not None else None,
"domain": Domain.from_dict(obj.get("domain")) if obj.get("domain") is not None else None,
"bFunction": obj.get("bFunction"),
"function": obj.get("function"),
"visible": obj.get("visible")
})
return _obj
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