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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 datetime import date
from typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel, StrictInt, StrictStr
from pydantic import Field
from vcell_client.models.biomodel_ref import BiomodelRef
from vcell_client.models.mathmodel_ref import MathmodelRef
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class Publication(BaseModel):
"""
Publication
""" # noqa: E501
pub_key: Optional[StrictInt] = Field(default=None, alias="pubKey")
title: Optional[StrictStr] = None
authors: Optional[List[StrictStr]] = None
year: Optional[StrictInt] = None
citation: Optional[StrictStr] = None
pubmedid: Optional[StrictStr] = None
doi: Optional[StrictStr] = None
endnoteid: Optional[StrictInt] = None
url: Optional[StrictStr] = None
wittid: Optional[StrictInt] = None
biomodel_refs: Optional[List[BiomodelRef]] = Field(default=None, alias="biomodelRefs")
mathmodel_refs: Optional[List[MathmodelRef]] = Field(default=None, alias="mathmodelRefs")
var_date: Optional[date] = Field(default=None, alias="date")
__properties: ClassVar[List[str]] = ["pubKey", "title", "authors", "year", "citation", "pubmedid", "doi", "endnoteid", "url", "wittid", "biomodelRefs", "mathmodelRefs", "date"]
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 Publication 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 each item in biomodel_refs (list)
_items = []
if self.biomodel_refs:
for _item in self.biomodel_refs:
if _item:
_items.append(_item.to_dict())
_dict['biomodelRefs'] = _items
# override the default output from pydantic by calling `to_dict()` of each item in mathmodel_refs (list)
_items = []
if self.mathmodel_refs:
for _item in self.mathmodel_refs:
if _item:
_items.append(_item.to_dict())
_dict['mathmodelRefs'] = _items
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of Publication 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 Publication) in the input: " + _key)
_obj = cls.model_validate({
"pubKey": obj.get("pubKey"),
"title": obj.get("title"),
"authors": obj.get("authors"),
"year": obj.get("year"),
"citation": obj.get("citation"),
"pubmedid": obj.get("pubmedid"),
"doi": obj.get("doi"),
"endnoteid": obj.get("endnoteid"),
"url": obj.get("url"),
"wittid": obj.get("wittid"),
"biomodelRefs": [BiomodelRef.from_dict(_item) for _item in obj.get("biomodelRefs")] if obj.get("biomodelRefs") is not None else None,
"mathmodelRefs": [MathmodelRef.from_dict(_item) for _item in obj.get("mathmodelRefs")] if obj.get("mathmodelRefs") is not None else None,
"date": obj.get("date")
})
return _obj
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