vcell / data /python-restclient /vcell_client /models /external_data_identifier.py
introvoyz041's picture
Migrated from GitHub
9d54b72 verified
# 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, StrictInt, StrictStr
from pydantic import Field
from vcell_client.models.user import User
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class ExternalDataIdentifier(BaseModel):
"""
ExternalDataIdentifier
""" # noqa: E501
key: Optional[StrictStr] = None
owner: Optional[User] = None
name: Optional[StrictStr] = None
job_index: Optional[StrictInt] = Field(default=None, alias="jobIndex")
simulation_key: Optional[StrictStr] = Field(default=None, alias="simulationKey")
parameter_scan_type: Optional[StrictBool] = Field(default=None, alias="parameterScanType")
data_key: Optional[StrictStr] = Field(default=None, alias="dataKey")
__properties: ClassVar[List[str]] = ["key", "owner", "name", "jobIndex", "simulationKey", "parameterScanType", "dataKey"]
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 ExternalDataIdentifier 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 owner
if self.owner:
_dict['owner'] = self.owner.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of ExternalDataIdentifier 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 ExternalDataIdentifier) in the input: " + _key)
_obj = cls.model_validate({
"key": obj.get("key"),
"owner": User.from_dict(obj.get("owner")) if obj.get("owner") is not None else None,
"name": obj.get("name"),
"jobIndex": obj.get("jobIndex"),
"simulationKey": obj.get("simulationKey"),
"parameterScanType": obj.get("parameterScanType"),
"dataKey": obj.get("dataKey")
})
return _obj