# 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 List, Dict, Optional, Any, Union, TYPE_CHECKING
from typing_extensions import Annotated
from pydantic.v1 import BaseModel, StrictStr, StrictInt, StrictBool, StrictFloat, StrictBytes, Field, validator, ValidationError, conlist, constr
from datetime import datetime
import lusid.models
[docs]
class ComplexMarketData(BaseModel):
"""
Base class for representing complex market data in LUSID. Generally speaking, market data is complex when it cannot be represented as a single quote. Examples include discounting curves, projection curves, and volatility surfaces, which are used to compute instrument analytics. This base class should not be directly instantiated; each supported MarketDataType has a corresponding inherited class. # noqa: E501
"""
market_data_type: StrictStr = Field(...,alias="marketDataType", description="Available values: DiscountFactorCurveData, EquityVolSurfaceData, FxVolSurfaceData, IrVolCubeData, OpaqueMarketData, YieldCurveData, FxForwardCurveData, FxForwardPipsCurveData, FxForwardTenorCurveData, FxForwardTenorPipsCurveData, FxForwardCurveByQuoteReference, CreditSpreadCurveData, EquityCurveByPricesData, ConstantVolatilitySurface.")
__properties = ["marketDataType"]
[docs]
@validator('market_data_type')
def market_data_type_validate_enum(cls, value):
"""Validates the enum"""
# Finbourne have removed enum validation on all models, except for this use case:
# Workflow and notification application SDK use the property name 'type' as the discriminator on a number of classes.
# During instantiation, the value of 'type' is checked against the enum values,
# check it's a class that uses the 'type' property as a discriminator
# list of classes can be found by searching for 'actual_instance: Union[' in the generated code
if 'ComplexMarketData' not in [
# For notification application classes
'AmazonSqsNotificationType',
'AmazonSqsNotificationTypeResponse',
'AmazonSqsPrincipalAuthNotificationType',
'AmazonSqsPrincipalAuthNotificationTypeResponse',
'AzureServiceBusTypeResponse',
'AzureServiceBusNotificationType',
'EmailNotificationType',
'EmailNotificationTypeResponse',
'SmsNotificationType',
'SmsNotificationTypeResponse',
'WebhookNotificationType',
'WebhookNotificationTypeResponse',
# For workflow application classes
'CreateChildTasksAction',
'RunWorkerAction',
'TriggerParentTaskAction',
'CreateChildTasksActionResponse',
'RunWorkerActionResponse',
'TriggerChildTasksAction',
'TriggerChildTasksActionResponse',
'TriggerParentTaskActionResponse',
'CreateNewTaskActivity',
'UpdateMatchingTasksActivity',
'CreateNewTaskActivityResponse',
'UpdateMatchingTasksActivityResponse',
'Fail',
'GroupReconciliation',
'HealthCheck',
'LuminesceView',
'SchedulerJob',
'Sleep',
'FailResponse',
'GroupReconciliationResponse',
'HealthCheckResponse',
'LuminesceViewResponse',
'SchedulerJobResponse',
'SleepResponse',
'Library',
'LibraryResponse',
'DayRegularity',
'RelativeMonthRegularity',
'SpecificMonthRegularity',
'WeekRegularity',
'YearRegularity',
'LusidEntityDataQualityCheck',
'LusidEntityDataQualityCheckResponse',
'TriggerChildTasksActionResponse']:
return value
# Only validate the 'type' property of the class
if "market_data_type" != "type":
return value
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
# JSON field name that stores the object type
__discriminator_property_name = 'marketDataType'
# discriminator mappings
__discriminator_value_class_map = {
'ConstantVolatilitySurface': 'ConstantVolatilitySurface',
'CreditSpreadCurveData': 'CreditSpreadCurveData',
'DiscountFactorCurveData': 'DiscountFactorCurveData',
'EquityCurveByPricesData': 'EquityCurveByPricesData',
'EquityVolSurfaceData': 'EquityVolSurfaceData',
'FxForwardCurveByQuoteReference': 'FxForwardCurveByQuoteReference',
'FxForwardCurveData': 'FxForwardCurveData',
'FxForwardPipsCurveData': 'FxForwardPipsCurveData',
'FxForwardTenorCurveData': 'FxForwardTenorCurveData',
'FxForwardTenorPipsCurveData': 'FxForwardTenorPipsCurveData',
'FxVolSurfaceData': 'FxVolSurfaceData',
'IrVolCubeData': 'IrVolCubeData',
'OpaqueMarketData': 'OpaqueMarketData',
'YieldCurveData': 'YieldCurveData'
}
[docs]
@classmethod
def get_discriminator_value(cls, obj: dict) -> str:
"""Returns the discriminator value (object type) of the data"""
discriminator_value = obj[cls.__discriminator_property_name]
if discriminator_value:
return cls.__discriminator_value_class_map.get(discriminator_value)
else:
return None
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) -> Union(ConstantVolatilitySurface, CreditSpreadCurveData, DiscountFactorCurveData, EquityCurveByPricesData, EquityVolSurfaceData, FxForwardCurveByQuoteReference, FxForwardCurveData, FxForwardPipsCurveData, FxForwardTenorCurveData, FxForwardTenorPipsCurveData, FxVolSurfaceData, IrVolCubeData, OpaqueMarketData, YieldCurveData):
"""Create an instance of ComplexMarketData 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)
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> Union(ConstantVolatilitySurface, CreditSpreadCurveData, DiscountFactorCurveData, EquityCurveByPricesData, EquityVolSurfaceData, FxForwardCurveByQuoteReference, FxForwardCurveData, FxForwardPipsCurveData, FxForwardTenorCurveData, FxForwardTenorPipsCurveData, FxVolSurfaceData, IrVolCubeData, OpaqueMarketData, YieldCurveData):
"""Create an instance of ComplexMarketData from a dict"""
# look up the object type based on discriminator mapping
object_type = cls.get_discriminator_value(obj)
if object_type:
klass = getattr(lusid.models, object_type)
return klass.from_dict(obj)
else:
raise ValueError("ComplexMarketData failed to lookup discriminator value from " +
json.dumps(obj) + ". Discriminator property name: " + cls.__discriminator_property_name +
", mapping: " + json.dumps(cls.__discriminator_value_class_map))
ComplexMarketData.update_forward_refs()