# 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, Union
from pydantic.v1 import BaseModel, Field, StrictFloat, StrictInt
from lusid.models.economic_dependency import EconomicDependency
from lusid.models.metric_value import MetricValue
[docs]
class EconomicDependencyWithQuote(BaseModel):
"""
Container class pairing economic dependencies and quote data # noqa: E501
"""
economic_dependency: EconomicDependency = Field(..., alias="economicDependency")
metric_value: MetricValue = Field(..., alias="metricValue")
scale_factor: Optional[Union[StrictFloat, StrictInt]] = Field(None, alias="scaleFactor", description="Scale factor for the quote - this can be null, in which case we default to 1.")
__properties = ["economicDependency", "metricValue", "scaleFactor"]
[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) -> EconomicDependencyWithQuote:
"""Create an instance of EconomicDependencyWithQuote 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 economic_dependency
if self.economic_dependency:
_dict['economicDependency'] = self.economic_dependency.to_dict()
# override the default output from pydantic by calling `to_dict()` of metric_value
if self.metric_value:
_dict['metricValue'] = self.metric_value.to_dict()
# set to None if scale_factor (nullable) is None
# and __fields_set__ contains the field
if self.scale_factor is None and "scale_factor" in self.__fields_set__:
_dict['scaleFactor'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> EconomicDependencyWithQuote:
"""Create an instance of EconomicDependencyWithQuote from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return EconomicDependencyWithQuote.parse_obj(obj)
_obj = EconomicDependencyWithQuote.parse_obj({
"economic_dependency": EconomicDependency.from_dict(obj.get("economicDependency")) if obj.get("economicDependency") is not None else None,
"metric_value": MetricValue.from_dict(obj.get("metricValue")) if obj.get("metricValue") is not None else None,
"scale_factor": obj.get("scaleFactor")
})
return _obj