Source code for sdk.lusid.models.update_relational_dataset_details

# coding: utf-8

"""
    LUSID API

    FINBOURNE Technology  # noqa: E501

    Contact: info@finbourne.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""


from __future__ import annotations
import pprint
import re  # noqa: F401
import json


from typing import List, Dict, Optional, Any, Union, TYPE_CHECKING
from typing_extensions import Annotated
from pydantic.v1 import BaseModel, StrictStr, StrictInt, StrictBool, StrictFloat, StrictBytes, Field, validator, ValidationError, conlist, constr
from datetime import datetime
from lusid.models.applicable_entity_types import ApplicableEntityTypes

[docs] class UpdateRelationalDatasetDetails(BaseModel): """ UpdateRelationalDatasetDetails """ display_name: StrictStr = Field(...,alias="displayName", description="A user-friendly display name for the relational dataset definition.") description: Optional[StrictStr] = Field(None,alias="description", description="A detailed description of the relational dataset definition and its purpose.") applicable_entity_types: Optional[ApplicableEntityTypes] = Field(default=None, alias="applicableEntityTypes") __properties = ["displayName", "description", "applicableEntityTypes"]
[docs] class Config: """Pydantic configuration""" allow_population_by_field_name = True validate_assignment = True
def __str__(self): """For `print` and `pprint`""" return pprint.pformat(self.dict(by_alias=False)) def __repr__(self): """For `print` and `pprint`""" return self.to_str()
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.dict(by_alias=True))
[docs] def to_json(self) -> str: """Returns the JSON representation of the model using alias""" return json.dumps(self.to_dict())
[docs] @classmethod def from_json(cls, json_str: str) -> UpdateRelationalDatasetDetails: """Create an instance of UpdateRelationalDatasetDetails from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] def to_dict(self): """Returns the dictionary representation of the model using alias""" _dict = self.dict(by_alias=True, exclude={ }, exclude_none=True) # override the default output from pydantic by calling `to_dict()` of applicable_entity_types if self.applicable_entity_types: _dict['applicableEntityTypes'] = self.applicable_entity_types.to_dict() # set to None if description (nullable) is None # and __fields_set__ contains the field if self.description is None and "description" in self.__fields_set__: _dict['description'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> UpdateRelationalDatasetDetails: """Create an instance of UpdateRelationalDatasetDetails from a dict""" if obj is None: return None if not isinstance(obj, dict): return UpdateRelationalDatasetDetails.parse_obj(obj) _obj = UpdateRelationalDatasetDetails.parse_obj({ "display_name": obj.get("displayName"), "description": obj.get("description"), "applicable_entity_types": ApplicableEntityTypes.from_dict(obj.get("applicableEntityTypes")) if obj.get("applicableEntityTypes") is not None else None }) return _obj
UpdateRelationalDatasetDetails.update_forward_refs()