# 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.custom_data_model_criteria import CustomDataModelCriteria
from lusid.models.data_model_summary import DataModelSummary
from lusid.models.version import Version
[docs]
class CustomDataModel(BaseModel):
"""
CustomDataModel
"""
data_model_summary: Optional[DataModelSummary] = Field(default=None, alias="dataModelSummary")
inherited: Optional[CustomDataModelCriteria] = None
incremental: Optional[CustomDataModelCriteria] = None
applied: Optional[CustomDataModelCriteria] = None
version: Optional[Version] = None
__properties = ["dataModelSummary", "inherited", "incremental", "applied", "version"]
[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) -> CustomDataModel:
"""Create an instance of CustomDataModel 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 data_model_summary
if self.data_model_summary:
_dict['dataModelSummary'] = self.data_model_summary.to_dict()
# override the default output from pydantic by calling `to_dict()` of inherited
if self.inherited:
_dict['inherited'] = self.inherited.to_dict()
# override the default output from pydantic by calling `to_dict()` of incremental
if self.incremental:
_dict['incremental'] = self.incremental.to_dict()
# override the default output from pydantic by calling `to_dict()` of applied
if self.applied:
_dict['applied'] = self.applied.to_dict()
# override the default output from pydantic by calling `to_dict()` of version
if self.version:
_dict['version'] = self.version.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> CustomDataModel:
"""Create an instance of CustomDataModel from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return CustomDataModel.parse_obj(obj)
_obj = CustomDataModel.parse_obj({
"data_model_summary": DataModelSummary.from_dict(obj.get("dataModelSummary")) if obj.get("dataModelSummary") is not None else None,
"inherited": CustomDataModelCriteria.from_dict(obj.get("inherited")) if obj.get("inherited") is not None else None,
"incremental": CustomDataModelCriteria.from_dict(obj.get("incremental")) if obj.get("incremental") is not None else None,
"applied": CustomDataModelCriteria.from_dict(obj.get("applied")) if obj.get("applied") is not None else None,
"version": Version.from_dict(obj.get("version")) if obj.get("version") is not None else None
})
return _obj
CustomDataModel.update_forward_refs()