# 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, List, Optional
from pydantic.v1 import BaseModel, Field, StrictInt, StrictStr, conlist, constr, validator
from lusid.models.reference_portfolio_constituent_request import ReferencePortfolioConstituentRequest
[docs]
class UpsertReferencePortfolioConstituentsRequest(BaseModel):
"""
UpsertReferencePortfolioConstituentsRequest
"""
effective_from: constr(strict=True, min_length=1) = Field(..., alias="effectiveFrom", description="The first date from which the weights will apply")
weight_type: StrictStr = Field(..., alias="weightType", description="The available values are: Static, Floating, Periodical")
period_type: Optional[StrictStr] = Field(None, alias="periodType", description="The available values are: Daily, Weekly, Monthly, Quarterly, Annually")
period_count: Optional[StrictInt] = Field(None, alias="periodCount")
constituents: conlist(ReferencePortfolioConstituentRequest) = Field(..., description="Set of constituents (instrument/weight pairings)")
__properties = ["effectiveFrom", "weightType", "periodType", "periodCount", "constituents"]
[docs]
@validator('weight_type')
def weight_type_validate_enum(cls, value):
"""Validates the enum"""
if value not in ('Static', 'Floating', 'Periodical'):
raise ValueError("must be one of enum values ('Static', 'Floating', 'Periodical')")
return value
[docs]
@validator('period_type')
def period_type_validate_enum(cls, value):
"""Validates the enum"""
if value is None:
return value
if value not in ('Daily', 'Weekly', 'Monthly', 'Quarterly', 'Annually'):
raise ValueError("must be one of enum values ('Daily', 'Weekly', 'Monthly', 'Quarterly', 'Annually')")
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) -> UpsertReferencePortfolioConstituentsRequest:
"""Create an instance of UpsertReferencePortfolioConstituentsRequest 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)
# override the default output from pydantic by calling `to_dict()` of each item in constituents (list)
_items = []
if self.constituents:
for _item in self.constituents:
if _item:
_items.append(_item.to_dict())
_dict['constituents'] = _items
# set to None if period_type (nullable) is None
# and __fields_set__ contains the field
if self.period_type is None and "period_type" in self.__fields_set__:
_dict['periodType'] = None
# set to None if period_count (nullable) is None
# and __fields_set__ contains the field
if self.period_count is None and "period_count" in self.__fields_set__:
_dict['periodCount'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> UpsertReferencePortfolioConstituentsRequest:
"""Create an instance of UpsertReferencePortfolioConstituentsRequest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return UpsertReferencePortfolioConstituentsRequest.parse_obj(obj)
_obj = UpsertReferencePortfolioConstituentsRequest.parse_obj({
"effective_from": obj.get("effectiveFrom"),
"weight_type": obj.get("weightType"),
"period_type": obj.get("periodType"),
"period_count": obj.get("periodCount"),
"constituents": [ReferencePortfolioConstituentRequest.from_dict(_item) for _item in obj.get("constituents")] if obj.get("constituents") is not None else None
})
return _obj