# 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.data_point_version import DataPointVersion
from lusid.models.relational_data_point_field_value_response import RelationalDataPointFieldValueResponse
from lusid.models.relational_data_series_response import RelationalDataSeriesResponse
from lusid.models.resource_id import ResourceId
[docs]
class RelationalDataPointResponse(BaseModel):
"""
RelationalDataPointResponse
"""
relational_dataset_definition_id: ResourceId = Field(alias="relationalDatasetDefinitionId")
data_series: RelationalDataSeriesResponse = Field(alias="dataSeries")
effective_at: datetime = Field(description="The effectiveAt or cut-label datetime of the DataPoint.", alias="effectiveAt")
value_fields: Dict[str, RelationalDataPointFieldValueResponse] = Field(description="The values associated with the DataPoint, structured according to the FieldSchema of the parent RelationalDatasetDefinition.", alias="valueFields")
meta_data_fields: Dict[str, RelationalDataPointFieldValueResponse] = Field(description="The metadata associated with the DataPoint, structured according to the FieldSchema of the parent RelationalDatasetDefinition.", alias="metaDataFields")
effective_at_entered: StrictStr = Field(...,alias="effectiveAtEntered", description="The effectiveAt datetime as entered when the DataPoint was created.")
data_point_version: Optional[DataPointVersion] = Field(default=None, alias="dataPointVersion")
__properties = ["relationalDatasetDefinitionId", "dataSeries", "effectiveAt", "valueFields", "metaDataFields", "effectiveAtEntered", "dataPointVersion"]
[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) -> RelationalDataPointResponse:
"""Create an instance of RelationalDataPointResponse 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 relational_dataset_definition_id
if self.relational_dataset_definition_id:
_dict['relationalDatasetDefinitionId'] = self.relational_dataset_definition_id.to_dict()
# override the default output from pydantic by calling `to_dict()` of data_series
if self.data_series:
_dict['dataSeries'] = self.data_series.to_dict()
# override the default output from pydantic by calling `to_dict()` of each value in value_fields (dict)
_field_dict = {}
if self.value_fields:
for _key in self.value_fields:
if self.value_fields[_key]:
_field_dict[_key] = self.value_fields[_key].to_dict()
_dict['valueFields'] = _field_dict
# override the default output from pydantic by calling `to_dict()` of each value in meta_data_fields (dict)
_field_dict = {}
if self.meta_data_fields:
for _key in self.meta_data_fields:
if self.meta_data_fields[_key]:
_field_dict[_key] = self.meta_data_fields[_key].to_dict()
_dict['metaDataFields'] = _field_dict
# override the default output from pydantic by calling `to_dict()` of data_point_version
if self.data_point_version:
_dict['dataPointVersion'] = self.data_point_version.to_dict()
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> RelationalDataPointResponse:
"""Create an instance of RelationalDataPointResponse from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return RelationalDataPointResponse.parse_obj(obj)
_obj = RelationalDataPointResponse.parse_obj({
"relational_dataset_definition_id": ResourceId.from_dict(obj.get("relationalDatasetDefinitionId")) if obj.get("relationalDatasetDefinitionId") is not None else None,
"data_series": RelationalDataSeriesResponse.from_dict(obj.get("dataSeries")) if obj.get("dataSeries") is not None else None,
"effective_at": obj.get("effectiveAt"),
"value_fields": dict(
(_k, RelationalDataPointFieldValueResponse.from_dict(_v))
for _k, _v in obj.get("valueFields").items()
)
if obj.get("valueFields") is not None
else None,
"meta_data_fields": dict(
(_k, RelationalDataPointFieldValueResponse.from_dict(_v))
for _k, _v in obj.get("metaDataFields").items()
)
if obj.get("metaDataFields") is not None
else None,
"effective_at_entered": obj.get("effectiveAtEntered"),
"data_point_version": DataPointVersion.from_dict(obj.get("dataPointVersion")) if obj.get("dataPointVersion") is not None else None
})
return _obj
RelationalDataPointResponse.update_forward_refs()