# 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.user import User from vcell_client.models.vc_document_type import VCDocumentType try: from typing import Self except ImportError: from typing_extensions import Self class PublicationInfo(BaseModel): """ PublicationInfo """ # noqa: E501 publication_key: Optional[StrictStr] = Field(default=None, alias="publicationKey") version_key: Optional[StrictStr] = Field(default=None, alias="versionKey") title: Optional[StrictStr] = None authors: Optional[List[StrictStr]] = None citation: Optional[StrictStr] = None pubmedid: Optional[StrictStr] = None doi: Optional[StrictStr] = None url: Optional[StrictStr] = None pubdate: Optional[date] = None vc_document_type: Optional[VCDocumentType] = Field(default=None, alias="vcDocumentType") user: Optional[User] = None the_hash_code: Optional[StrictInt] = Field(default=None, alias="theHashCode") __properties: ClassVar[List[str]] = ["publicationKey", "versionKey", "title", "authors", "citation", "pubmedid", "doi", "url", "pubdate", "vcDocumentType", "user", "theHashCode"] 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 PublicationInfo 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 user if self.user: _dict['user'] = self.user.to_dict() return _dict @classmethod def from_dict(cls, obj: Dict) -> Self: """Create an instance of PublicationInfo 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 PublicationInfo) in the input: " + _key) _obj = cls.model_validate({ "publicationKey": obj.get("publicationKey"), "versionKey": obj.get("versionKey"), "title": obj.get("title"), "authors": obj.get("authors"), "citation": obj.get("citation"), "pubmedid": obj.get("pubmedid"), "doi": obj.get("doi"), "url": obj.get("url"), "pubdate": obj.get("pubdate"), "vcDocumentType": obj.get("vcDocumentType"), "user": User.from_dict(obj.get("user")) if obj.get("user") is not None else None, "theHashCode": obj.get("theHashCode") }) return _obj