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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, Union
from pydantic import BaseModel, StrictFloat, StrictInt, StrictStr
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class GroupAccess(BaseModel):
"""
GroupAccess
""" # noqa: E501
groupid: Union[StrictFloat, StrictInt]
description: Optional[StrictStr] = None
__properties: ClassVar[List[str]] = ["groupid", "description"]
model_config = {
"populate_by_name": True,
"validate_assignment": True
}
# JSON field name that stores the object type
__discriminator_property_name: ClassVar[List[str]] = 'type'
# discriminator mappings
__discriminator_value_class_map: ClassVar[Dict[str, str]] = {
'GroupAccessAll': 'GroupAccessAll','GroupAccessNone': 'GroupAccessNone','GroupAccessSome': 'GroupAccessSome'
}
@classmethod
def get_discriminator_value(cls, obj: Dict) -> str:
"""Returns the discriminator value (object type) of the data"""
discriminator_value = obj[cls.__discriminator_property_name]
if discriminator_value:
return cls.__discriminator_value_class_map.get(discriminator_value)
else:
return None
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) -> Union[Self, Self, Self]:
"""Create an instance of GroupAccess 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) -> Union[Self, Self, Self]:
"""Create an instance of GroupAccess from a dict"""
# look up the object type based on discriminator mapping
object_type = cls.get_discriminator_value(obj)
if object_type:
klass = globals()[object_type]
return klass.from_dict(obj)
else:
raise ValueError("GroupAccess failed to lookup discriminator value from " +
json.dumps(obj) + ". Discriminator property name: " + cls.__discriminator_property_name +
", mapping: " + json.dumps(cls.__discriminator_value_class_map))
from vcell_client.models.group_access_all import GroupAccessAll
from vcell_client.models.group_access_none import GroupAccessNone
from vcell_client.models.group_access_some import GroupAccessSome
# TODO: Rewrite to not use raise_errors
GroupAccess.model_rebuild(raise_errors=False)
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