Source code for sdk.lusid.models.fx_forward_tenor_pips_curve_data

# 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, List, Optional, Union
from pydantic.v1 import Field, StrictFloat, StrictInt, StrictStr, conlist, constr, validator
from lusid.models.complex_market_data import ComplexMarketData
from lusid.models.fx_tenor_convention import FxTenorConvention
from lusid.models.market_data_options import MarketDataOptions

[docs] class FxForwardTenorPipsCurveData(ComplexMarketData): """ Contains data (i.e. tenors and pips + metadata) for building fx forward curves (when combined with a spot rate and a date to build on) # noqa: E501 """ base_date: datetime = Field(..., alias="baseDate", description="EffectiveAt date of the quoted pip rates") dom_ccy: StrictStr = Field(..., alias="domCcy", description="Domestic currency of the fx forward") fgn_ccy: StrictStr = Field(..., alias="fgnCcy", description="Foreign currency of the fx forward") tenors: conlist(StrictStr) = Field(..., description="Tenors for which the forward rates apply. For more information on tenors, see [knowledge base article KA-02097](https://support.lusid.com/knowledgebase/article/KA-02097)") pip_rates: conlist(Union[StrictFloat, StrictInt]) = Field(..., alias="pipRates", description="Rates provided for the fx forward (price in FgnCcy per unit of DomCcy), expressed in pips") lineage: Optional[constr(strict=True, max_length=1024, min_length=0)] = Field(None, description="Description of the complex market data's lineage e.g. 'FundAccountant_GreenQuality'.") market_data_options: Optional[MarketDataOptions] = Field(None, alias="marketDataOptions") calendars: Optional[conlist(FxTenorConvention)] = Field(None, description="The list of conventions that should be used when interpreting tenors as dates.") spot_days_calculation_type: Optional[StrictStr] = Field(None, alias="spotDaysCalculationType", description="Configures how to calculate the spot date from the build date using the Calendars provided. Supported string (enumeration) values are: [ SingleCalendar, UnionCalendars ]") market_data_type: StrictStr = Field(..., alias="marketDataType", description="The available values are: DiscountFactorCurveData, EquityVolSurfaceData, FxVolSurfaceData, IrVolCubeData, OpaqueMarketData, YieldCurveData, FxForwardCurveData, FxForwardPipsCurveData, FxForwardTenorCurveData, FxForwardTenorPipsCurveData, FxForwardCurveByQuoteReference, CreditSpreadCurveData, EquityCurveByPricesData, ConstantVolatilitySurface") additional_properties: Dict[str, Any] = {} __properties = ["marketDataType", "baseDate", "domCcy", "fgnCcy", "tenors", "pipRates", "lineage", "marketDataOptions", "calendars", "spotDaysCalculationType"]
[docs] @validator('market_data_type') def market_data_type_validate_enum(cls, value): """Validates the enum""" if value not in ('DiscountFactorCurveData', 'EquityVolSurfaceData', 'FxVolSurfaceData', 'IrVolCubeData', 'OpaqueMarketData', 'YieldCurveData', 'FxForwardCurveData', 'FxForwardPipsCurveData', 'FxForwardTenorCurveData', 'FxForwardTenorPipsCurveData', 'FxForwardCurveByQuoteReference', 'CreditSpreadCurveData', 'EquityCurveByPricesData', 'ConstantVolatilitySurface'): raise ValueError("must be one of enum values ('DiscountFactorCurveData', 'EquityVolSurfaceData', 'FxVolSurfaceData', 'IrVolCubeData', 'OpaqueMarketData', 'YieldCurveData', 'FxForwardCurveData', 'FxForwardPipsCurveData', 'FxForwardTenorCurveData', 'FxForwardTenorPipsCurveData', 'FxForwardCurveByQuoteReference', 'CreditSpreadCurveData', 'EquityCurveByPricesData', 'ConstantVolatilitySurface')") 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) -> FxForwardTenorPipsCurveData: """Create an instance of FxForwardTenorPipsCurveData 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 market_data_options if self.market_data_options: _dict['marketDataOptions'] = self.market_data_options.to_dict() # override the default output from pydantic by calling `to_dict()` of each item in calendars (list) _items = [] if self.calendars: for _item in self.calendars: if _item: _items.append(_item.to_dict()) _dict['calendars'] = _items # 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 lineage (nullable) is None # and __fields_set__ contains the field if self.lineage is None and "lineage" in self.__fields_set__: _dict['lineage'] = None # set to None if calendars (nullable) is None # and __fields_set__ contains the field if self.calendars is None and "calendars" in self.__fields_set__: _dict['calendars'] = None # set to None if spot_days_calculation_type (nullable) is None # and __fields_set__ contains the field if self.spot_days_calculation_type is None and "spot_days_calculation_type" in self.__fields_set__: _dict['spotDaysCalculationType'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> FxForwardTenorPipsCurveData: """Create an instance of FxForwardTenorPipsCurveData from a dict""" if obj is None: return None if not isinstance(obj, dict): return FxForwardTenorPipsCurveData.parse_obj(obj) _obj = FxForwardTenorPipsCurveData.parse_obj({ "market_data_type": obj.get("marketDataType"), "base_date": obj.get("baseDate"), "dom_ccy": obj.get("domCcy"), "fgn_ccy": obj.get("fgnCcy"), "tenors": obj.get("tenors"), "pip_rates": obj.get("pipRates"), "lineage": obj.get("lineage"), "market_data_options": MarketDataOptions.from_dict(obj.get("marketDataOptions")) if obj.get("marketDataOptions") is not None else None, "calendars": [FxTenorConvention.from_dict(_item) for _item in obj.get("calendars")] if obj.get("calendars") is not None else None, "spot_days_calculation_type": obj.get("spotDaysCalculationType") }) # 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