Source code for sdk.lusid.models.economics

# 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.bucket import Bucket
from lusid.models.perpetual_property import PerpetualProperty

[docs] class Economics(BaseModel): """ Economics """ instrument_scope: Optional[StrictStr] = Field(None,alias="instrumentScope", description="The scope in which the instrument lies.") lusid_instrument_id: StrictStr = Field(...,alias="lusidInstrumentId", description="The unique Lusid Instrument Id (LUID) of the instrument that economics are for.") sub_holding_keys: Optional[Dict[str, PerpetualProperty]] = Field(default=None, description="The sub-holding properties which identify the Economic. Each property will be from the 'Transaction' domain. These are configured on a transaction portfolio.", alias="subHoldingKeys") buckets: Optional[List[Bucket]] = Field(default=None, description="Set of economic data related with each of the side impact of the transaction.") __properties = ["instrumentScope", "lusidInstrumentId", "subHoldingKeys", "buckets"]
[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) -> Economics: """Create an instance of Economics 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 value in sub_holding_keys (dict) _field_dict = {} if self.sub_holding_keys: for _key in self.sub_holding_keys: if self.sub_holding_keys[_key]: _field_dict[_key] = self.sub_holding_keys[_key].to_dict() _dict['subHoldingKeys'] = _field_dict # override the default output from pydantic by calling `to_dict()` of each item in buckets (list) _items = [] if self.buckets: for _item in self.buckets: if _item: _items.append(_item.to_dict()) _dict['buckets'] = _items # set to None if instrument_scope (nullable) is None # and __fields_set__ contains the field if self.instrument_scope is None and "instrument_scope" in self.__fields_set__: _dict['instrumentScope'] = None # set to None if sub_holding_keys (nullable) is None # and __fields_set__ contains the field if self.sub_holding_keys is None and "sub_holding_keys" in self.__fields_set__: _dict['subHoldingKeys'] = None # set to None if buckets (nullable) is None # and __fields_set__ contains the field if self.buckets is None and "buckets" in self.__fields_set__: _dict['buckets'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> Economics: """Create an instance of Economics from a dict""" if obj is None: return None if not isinstance(obj, dict): return Economics.parse_obj(obj) _obj = Economics.parse_obj({ "instrument_scope": obj.get("instrumentScope"), "lusid_instrument_id": obj.get("lusidInstrumentId"), "sub_holding_keys": dict( (_k, PerpetualProperty.from_dict(_v)) for _k, _v in obj.get("subHoldingKeys").items() ) if obj.get("subHoldingKeys") is not None else None, "buckets": [Bucket.from_dict(_item) for _item in obj.get("buckets")] if obj.get("buckets") is not None else None }) return _obj
Economics.update_forward_refs()