Source code for sdk.lusid.models.compounding

# 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 StrictStr, Field, BaseModel, Field, StrictInt, StrictStr, constr 

[docs] class Compounding(BaseModel): """ The compounding settings used on interest rate. # noqa: E501 """ averaging_method: Optional[StrictStr] = Field(None,alias="averagingMethod", description="Defines whether a weighted or unweighted average is used when calculating the average rate. It applies only when CompoundingMethod = ‘Averaging‘. Supported string (enumeration) values are: [Unweighted, UnweightedIncludingWeekends, Weighted].") calculation_shift_method: Optional[StrictStr] = Field(None,alias="calculationShiftMethod", description="Defines which resets and day counts are used for the rate calculation Supported string (enumeration) values are: [Lookback, NoShift, ObservationPeriodShift, Lockout].") compounding_method: StrictStr = Field(...,alias="compoundingMethod", description="If the interest rate is simple, compounded or using a pre-computed compounded index. Supported string (enumeration) values are: [Averaging, Compounding, CompoundedIndex, NonCumulativeCompounding].") reset_frequency: StrictStr = Field(...,alias="resetFrequency", description="The interest payment frequency. For more information on tenors, see [knowledge base article KA-02097](https://support.lusid.com/knowledgebase/article/KA-02097)") shift: Optional[StrictInt] = Field(None, description="Defines the number of days to lockout or shift observation period by - should be a non-negative integer") spread_compounding_method: Optional[StrictStr] = Field(None,alias="spreadCompoundingMethod", description="Defines how the computed leg spread is applied to compounded rate. It applies only when CompoundingMethod = ‘Compounding‘ or ‘CompoundedIndex‘. Available compounding methods: | Method | Description | | ------ | ----------- | | Straight | Compounding rate in each compound period includes the spread. | | Flat | Compounding rate does not include the spread, and the spread is used for simple interest in each compound period. | | SpreadExclusive | Compounding rate does not include the spread, and the spread is used for simple interest for whole accrual period. | The values \"IsdaCompounding\", \"NoCompounding\", \"IsdaFlatCompounding\", and \"None\" are accepted for compatibility with existing instruments and their use is discouraged. Supported string (enumeration) values are: [Straight, IsdaCompounding, NoCompounding, SpreadExclusive, IsdaFlatCompounding, Flat, None].") rounding_precision: Optional[StrictInt] = Field(None, alias="roundingPrecision", description="Defines the number of decimal places the compounded rate (expressed as a decimal) should be rounded to. This is an optional field, leaving it blank will mean no rounding takes place in Compounding.") __properties = ["averagingMethod", "calculationShiftMethod", "compoundingMethod", "resetFrequency", "shift", "spreadCompoundingMethod", "roundingPrecision"]
[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) -> Compounding: """Create an instance of Compounding 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 averaging_method (nullable) is None # and __fields_set__ contains the field if self.averaging_method is None and "averaging_method" in self.__fields_set__: _dict['averagingMethod'] = None # set to None if calculation_shift_method (nullable) is None # and __fields_set__ contains the field if self.calculation_shift_method is None and "calculation_shift_method" in self.__fields_set__: _dict['calculationShiftMethod'] = None # set to None if spread_compounding_method (nullable) is None # and __fields_set__ contains the field if self.spread_compounding_method is None and "spread_compounding_method" in self.__fields_set__: _dict['spreadCompoundingMethod'] = None # set to None if rounding_precision (nullable) is None # and __fields_set__ contains the field if self.rounding_precision is None and "rounding_precision" in self.__fields_set__: _dict['roundingPrecision'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> Compounding: """Create an instance of Compounding from a dict""" if obj is None: return None if not isinstance(obj, dict): return Compounding.parse_obj(obj) _obj = Compounding.parse_obj({ "averaging_method": obj.get("averagingMethod"), "calculation_shift_method": obj.get("calculationShiftMethod"), "compounding_method": obj.get("compoundingMethod"), "reset_frequency": obj.get("resetFrequency"), "shift": obj.get("shift"), "spread_compounding_method": obj.get("spreadCompoundingMethod"), "rounding_precision": obj.get("roundingPrecision") }) return _obj