# 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.applicable_entity import ApplicableEntity
[docs]
class DataSeries(BaseModel):
"""
DataSeries
"""
series_scope: StrictStr = Field(...,alias="seriesScope", description="The scope of the DataSeries.")
applicable_entity: ApplicableEntity = Field(alias="applicableEntity")
series_identifiers: Optional[Dict[str, Any]] = Field(default=None, description="The identifiers that uniquely define this DataSeries, if any, structured according to the FieldSchema of the parent RelationalDatasetDefinition.", alias="seriesIdentifiers")
__properties = ["seriesScope", "applicableEntity", "seriesIdentifiers"]
[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) -> DataSeries:
"""Create an instance of DataSeries 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 applicable_entity
if self.applicable_entity:
_dict['applicableEntity'] = self.applicable_entity.to_dict()
# set to None if series_identifiers (nullable) is None
# and __fields_set__ contains the field
if self.series_identifiers is None and "series_identifiers" in self.__fields_set__:
_dict['seriesIdentifiers'] = None
return _dict
[docs]
@classmethod
def from_dict(cls, obj: dict) -> DataSeries:
"""Create an instance of DataSeries from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return DataSeries.parse_obj(obj)
_obj = DataSeries.parse_obj({
"series_scope": obj.get("seriesScope"),
"applicable_entity": ApplicableEntity.from_dict(obj.get("applicableEntity")) if obj.get("applicableEntity") is not None else None,
"series_identifiers": obj.get("seriesIdentifiers")
})
return _obj
DataSeries.update_forward_refs()