# 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
from lusid.models.level_step import LevelStep
from lusid.models.schedule import Schedule
[docs]
class StepSchedule(Schedule):
"""
Schedule that steps at known dated points in time. Used in representation of a sinking bond, also called amortisation, steps in coupons for fixed bonds and spreads for floating bonds. # noqa: E501
"""
level_type: StrictStr = Field(...,alias="levelType", description="The type of shift or adjustment that the quantity represents. Supported string (enumeration) values are: [Absolute, AbsoluteShift, Percentage, AbsolutePercentage].")
step_schedule_type: StrictStr = Field(...,alias="stepScheduleType", description="The type of step that this schedule is for. Supported string (enumeration) values are: [Coupon, Notional, Spread].")
steps: List[LevelStep] = Field(description="The level steps which are applied.")
schedule_type: StrictStr = Field(...,alias="scheduleType", description="Available values: FixedSchedule, FloatSchedule, OptionalitySchedule, StepSchedule, Exercise, FxRateSchedule, FxLinkedNotionalSchedule, BondConversionSchedule, Invalid.")
additional_properties: Dict[str, Any] = {}
__properties = ["scheduleType", "levelType", "stepScheduleType", "steps"]
[docs]
@validator('schedule_type')
def schedule_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 'StepSchedule' 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 "schedule_type" != "type":
return value
if value not in ['FixedSchedule', 'FloatSchedule', 'OptionalitySchedule', 'StepSchedule', 'Exercise', 'FxRateSchedule', 'FxLinkedNotionalSchedule', 'BondConversionSchedule', 'Invalid']:
raise ValueError("must be one of enum values ('FixedSchedule', 'FloatSchedule', 'OptionalitySchedule', 'StepSchedule', 'Exercise', 'FxRateSchedule', 'FxLinkedNotionalSchedule', 'BondConversionSchedule', 'Invalid')")
return value
[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) -> StepSchedule:
"""Create an instance of StepSchedule 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 each item in steps (list)
_items = []
if self.steps:
for _item in self.steps:
if _item:
_items.append(_item.to_dict())
_dict['steps'] = _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
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> StepSchedule:
"""Create an instance of StepSchedule from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return StepSchedule.parse_obj(obj)
_obj = StepSchedule.parse_obj({
"schedule_type": obj.get("scheduleType"),
"level_type": obj.get("levelType"),
"step_schedule_type": obj.get("stepScheduleType"),
"steps": [LevelStep.from_dict(_item) for _item in obj.get("steps")] if obj.get("steps") is not None else None
})
# 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
StepSchedule.update_forward_refs()