# 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
[docs]
class StructuredResultDataId(BaseModel):
"""
An identifier that uniquely describes an item of structured result data such as the risk to an interest curve or a set of yields or analytics on an index. # noqa: E501
"""
source: StrictStr = Field(...,alias="source", description="The platform or vendor that provided the structured result data, e.g. 'client'. This is primarily of interest when data could have been sourced from multiple sources")
code: Optional[StrictStr] = Field(None,alias="code", description="The identifier for the entity that this id describes. It could be an index, instrument or other form of structured data")
effective_at: Optional[StrictStr] = Field(None,alias="effectiveAt", description="The effectiveAt or cut label that this item of structured result data is/was updated/inserted with.")
result_type: Optional[StrictStr] = Field(None,alias="resultType", description="An identifier that denotes the class of data that the id points to. This is not the same as the format, but a more generic identifier such as 'risk result', 'cashflow', 'index' or similar.")
__properties = ["source", "code", "effectiveAt", "resultType"]
[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) -> StructuredResultDataId:
"""Create an instance of StructuredResultDataId 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)
# set to None if code (nullable) is None
# and __fields_set__ contains the field
if self.code is None and "code" in self.__fields_set__:
_dict['code'] = None
# set to None if effective_at (nullable) is None
# and __fields_set__ contains the field
if self.effective_at is None and "effective_at" in self.__fields_set__:
_dict['effectiveAt'] = None
# set to None if result_type (nullable) is None
# and __fields_set__ contains the field
if self.result_type is None and "result_type" in self.__fields_set__:
_dict['resultType'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> StructuredResultDataId:
"""Create an instance of StructuredResultDataId from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return StructuredResultDataId.parse_obj(obj)
_obj = StructuredResultDataId.parse_obj({
"source": obj.get("source"),
"code": obj.get("code"),
"effective_at": obj.get("effectiveAt"),
"result_type": obj.get("resultType")
})
return _obj
StructuredResultDataId.update_forward_refs()