# 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, Union
from pydantic.v1 import BaseModel, Field, StrictStr, validator
import lusid.models
[docs]
class ModelOptions(BaseModel):
"""
Base class for representing model options in LUSID, which provide config for instrument analytics. This base class should not be directly instantiated; each supported ModelOptionsType has a corresponding inherited class. # noqa: E501
"""
model_options_type: StrictStr = Field(..., alias="modelOptionsType", description="The available values are: Invalid, OpaqueModelOptions, EmptyModelOptions, IndexModelOptions, FxForwardModelOptions, FundingLegModelOptions, EquityModelOptions")
__properties = ["modelOptionsType"]
[docs]
@validator('model_options_type')
def model_options_type_validate_enum(cls, value):
"""Validates the enum"""
if value not in ('Invalid', 'OpaqueModelOptions', 'EmptyModelOptions', 'IndexModelOptions', 'FxForwardModelOptions', 'FundingLegModelOptions', 'EquityModelOptions'):
raise ValueError("must be one of enum values ('Invalid', 'OpaqueModelOptions', 'EmptyModelOptions', 'IndexModelOptions', 'FxForwardModelOptions', 'FundingLegModelOptions', 'EquityModelOptions')")
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 = 'modelOptionsType'
# discriminator mappings
__discriminator_value_class_map = {
'EmptyModelOptions': 'EmptyModelOptions',
'EquityModelOptions': 'EquityModelOptions',
'FundingLegOptions': 'FundingLegOptions',
'FxForwardModelOptions': 'FxForwardModelOptions',
'IndexModelOptions': 'IndexModelOptions',
'OpaqueModelOptions': 'OpaqueModelOptions'
}
[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
[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(EmptyModelOptions, EquityModelOptions, FundingLegOptions, FxForwardModelOptions, IndexModelOptions, OpaqueModelOptions):
"""Create an instance of ModelOptions 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(EmptyModelOptions, EquityModelOptions, FundingLegOptions, FxForwardModelOptions, IndexModelOptions, OpaqueModelOptions):
"""Create an instance of ModelOptions 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("ModelOptions failed to lookup discriminator value from " +
json.dumps(obj) + ". Discriminator property name: " + cls.__discriminator_property_name +
", mapping: " + json.dumps(cls.__discriminator_value_class_map))