# 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, Optional
from pydantic.v1 import BaseModel, Field, StrictStr
from lusid.models.result_value import ResultValue
from lusid.models.structured_result_data_id import StructuredResultDataId
[docs]
class UpsertResultValuesDataRequest(BaseModel):
"""
UpsertResultValuesDataRequest
"""
document_id: StructuredResultDataId = Field(..., alias="documentId")
key: Optional[Dict[str, StrictStr]] = Field(None, description="The structured unit result data key.")
data_address: Optional[StrictStr] = Field(None, alias="dataAddress", description="The address of the piece of unit result data")
result_value: Optional[ResultValue] = Field(None, alias="resultValue")
__properties = ["documentId", "key", "dataAddress", "resultValue"]
[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) -> UpsertResultValuesDataRequest:
"""Create an instance of UpsertResultValuesDataRequest 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 document_id
if self.document_id:
_dict['documentId'] = self.document_id.to_dict()
# override the default output from pydantic by calling `to_dict()` of result_value
if self.result_value:
_dict['resultValue'] = self.result_value.to_dict()
# set to None if key (nullable) is None
# and __fields_set__ contains the field
if self.key is None and "key" in self.__fields_set__:
_dict['key'] = None
# set to None if data_address (nullable) is None
# and __fields_set__ contains the field
if self.data_address is None and "data_address" in self.__fields_set__:
_dict['dataAddress'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> UpsertResultValuesDataRequest:
"""Create an instance of UpsertResultValuesDataRequest from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return UpsertResultValuesDataRequest.parse_obj(obj)
_obj = UpsertResultValuesDataRequest.parse_obj({
"document_id": StructuredResultDataId.from_dict(obj.get("documentId")) if obj.get("documentId") is not None else None,
"key": obj.get("key"),
"data_address": obj.get("dataAddress"),
"result_value": ResultValue.from_dict(obj.get("resultValue")) if obj.get("resultValue") is not None else None
})
return _obj