# 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 Any, Dict, Optional
from pydantic.v1 import Field, StrictStr, validator
from lusid.models.result_value import ResultValue
[docs]
class ResultValueDictionary(ResultValue):
"""
Result value for a collection of key-value pairs. Used for diagnostics associated to a cash flow, etc. # noqa: E501
"""
elements: Optional[Dict[str, ResultValue]] = Field(None, description="The dictionary elements")
result_value_type: StrictStr = Field(..., alias="resultValueType", description="The available values are: ResultValue, ResultValueDictionary, ResultValue0D, ResultValueDecimal, ResultValueInt, ResultValueString, ResultValueBool, ResultValueCurrency, CashFlowValue, CashFlowValueSet, ResultValueLifeCycleEventValue, ResultValueDateTimeOffset")
additional_properties: Dict[str, Any] = {}
__properties = ["resultValueType", "elements"]
[docs]
@validator('result_value_type')
def result_value_type_validate_enum(cls, value):
"""Validates the enum"""
if value not in ('ResultValue', 'ResultValueDictionary', 'ResultValue0D', 'ResultValueDecimal', 'ResultValueInt', 'ResultValueString', 'ResultValueBool', 'ResultValueCurrency', 'CashFlowValue', 'CashFlowValueSet', 'ResultValueLifeCycleEventValue', 'ResultValueDateTimeOffset'):
raise ValueError("must be one of enum values ('ResultValue', 'ResultValueDictionary', 'ResultValue0D', 'ResultValueDecimal', 'ResultValueInt', 'ResultValueString', 'ResultValueBool', 'ResultValueCurrency', 'CashFlowValue', 'CashFlowValueSet', 'ResultValueLifeCycleEventValue', 'ResultValueDateTimeOffset')")
return value
[docs]
class Config:
"""Pydantic configuration"""
allow_population_by_field_name = True
validate_assignment = True
[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) -> ResultValueDictionary:
"""Create an instance of ResultValueDictionary 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={
"additional_properties"
},
exclude_none=True)
# override the default output from pydantic by calling `to_dict()` of each value in elements (dict)
_field_dict = {}
if self.elements:
for _key in self.elements:
if self.elements[_key]:
_field_dict[_key] = self.elements[_key].to_dict()
_dict['elements'] = _field_dict
# puts key-value pairs in additional_properties in the top level
if self.additional_properties is not None:
for _key, _value in self.additional_properties.items():
_dict[_key] = _value
# set to None if elements (nullable) is None
# and __fields_set__ contains the field
if self.elements is None and "elements" in self.__fields_set__:
_dict['elements'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> ResultValueDictionary:
"""Create an instance of ResultValueDictionary from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return ResultValueDictionary.parse_obj(obj)
_obj = ResultValueDictionary.parse_obj({
"result_value_type": obj.get("resultValueType"),
"elements": dict(
(_k, ResultValue.from_dict(_v))
for _k, _v in obj.get("elements").items()
)
if obj.get("elements") is not None
else None
})
# store additional fields in additional_properties
for _key in obj.keys():
if _key not in cls.__properties:
_obj.additional_properties[_key] = obj.get(_key)
return _obj