Source code for sdk.lusid.models.performance_return

# 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 datetime import datetime
from typing import Any, Dict, Optional, Union
from pydantic.v1 import BaseModel, Field, StrictFloat, StrictInt, StrictStr

[docs] class PerformanceReturn(BaseModel): """ A list of Returns. # noqa: E501 """ effective_at: datetime = Field(..., alias="effectiveAt", description="The effectiveAt for the return.") rate_of_return: Union[StrictFloat, StrictInt] = Field(..., alias="rateOfReturn", description="The return number.") opening_market_value: Optional[Union[StrictFloat, StrictInt]] = Field(None, alias="openingMarketValue", description="The opening market value.") closing_market_value: Optional[Union[StrictFloat, StrictInt]] = Field(None, alias="closingMarketValue", description="The closing market value.") period: Optional[StrictStr] = Field(None, description="Upsert the returns on a Daily or Monthly period. Defaults to Daily.") __properties = ["effectiveAt", "rateOfReturn", "openingMarketValue", "closingMarketValue", "period"]
[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) -> PerformanceReturn: """Create an instance of PerformanceReturn 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) # set to None if opening_market_value (nullable) is None # and __fields_set__ contains the field if self.opening_market_value is None and "opening_market_value" in self.__fields_set__: _dict['openingMarketValue'] = None # set to None if closing_market_value (nullable) is None # and __fields_set__ contains the field if self.closing_market_value is None and "closing_market_value" in self.__fields_set__: _dict['closingMarketValue'] = None # set to None if period (nullable) is None # and __fields_set__ contains the field if self.period is None and "period" in self.__fields_set__: _dict['period'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> PerformanceReturn: """Create an instance of PerformanceReturn from a dict""" if obj is None: return None if not isinstance(obj, dict): return PerformanceReturn.parse_obj(obj) _obj = PerformanceReturn.parse_obj({ "effective_at": obj.get("effectiveAt"), "rate_of_return": obj.get("rateOfReturn"), "opening_market_value": obj.get("openingMarketValue"), "closing_market_value": obj.get("closingMarketValue"), "period": obj.get("period") }) return _obj