Source code for sdk.lusid.models.index_projection_dependency

# 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
from pydantic.v1 import Field, StrictStr, constr, validator
from lusid.models.economic_dependency import EconomicDependency

[docs] class IndexProjectionDependency(EconomicDependency): """ Represents either a dependency on projections of an index. E.g. If the interest leg of a swap is a FloatingLeg, then it will declare an IndexProjectionDependency upon pricing. This is to indicate that pricing the floating leg requires predictions of future fixings of the index. # noqa: E501 """ currency: StrictStr = Field(..., description="The currency of the corresponding IndexConvention. E.g. this would be USD for a convention named USD.6M.LIBOR") tenor: constr(strict=True, max_length=50, min_length=0) = Field(..., description="The tenor of the corresponding IndexConvention. E.g. this would be \"6M\" for a convention named USD.6M.LIBOR") index_name: constr(strict=True, max_length=50, min_length=0) = Field(..., alias="indexName", description="The IndexName of the corresponding IndexConvention. E.g. this would be \"LIBOR\" for a convention named USD.6M.LIBOR") var_date: datetime = Field(..., alias="date", description="The effectiveDate of the entity that this is a dependency for. Unless there is an obvious date this should be, like for a historic reset, then this is the valuation date.") dependency_type: StrictStr = Field(..., alias="dependencyType", description="The available values are: OpaqueDependency, CashDependency, DiscountingDependency, EquityCurveDependency, EquityVolDependency, FxDependency, FxForwardsDependency, FxVolDependency, IndexProjectionDependency, IrVolDependency, QuoteDependency, Vendor, CalendarDependency, InflationFixingDependency") additional_properties: Dict[str, Any] = {} __properties = ["dependencyType", "currency", "tenor", "indexName", "date"]
[docs] @validator('dependency_type') def dependency_type_validate_enum(cls, value): """Validates the enum""" if value not in ('OpaqueDependency', 'CashDependency', 'DiscountingDependency', 'EquityCurveDependency', 'EquityVolDependency', 'FxDependency', 'FxForwardsDependency', 'FxVolDependency', 'IndexProjectionDependency', 'IrVolDependency', 'QuoteDependency', 'Vendor', 'CalendarDependency', 'InflationFixingDependency'): raise ValueError("must be one of enum values ('OpaqueDependency', 'CashDependency', 'DiscountingDependency', 'EquityCurveDependency', 'EquityVolDependency', 'FxDependency', 'FxForwardsDependency', 'FxVolDependency', 'IndexProjectionDependency', 'IrVolDependency', 'QuoteDependency', 'Vendor', 'CalendarDependency', 'InflationFixingDependency')") 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) -> IndexProjectionDependency: """Create an instance of IndexProjectionDependency 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) # 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 return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> IndexProjectionDependency: """Create an instance of IndexProjectionDependency from a dict""" if obj is None: return None if not isinstance(obj, dict): return IndexProjectionDependency.parse_obj(obj) _obj = IndexProjectionDependency.parse_obj({ "dependency_type": obj.get("dependencyType"), "currency": obj.get("currency"), "tenor": obj.get("tenor"), "index_name": obj.get("indexName"), "var_date": obj.get("date") }) # 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