Source code for sdk.lusid.models.reconciliation_response

# 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, List, Optional
from pydantic.v1 import BaseModel, Field, conlist
from lusid.models.reconciliation_line import ReconciliationLine
from lusid.models.result_data_schema import ResultDataSchema

[docs] class ReconciliationResponse(BaseModel): """ Class representing the set of comparisons that result from comparing holdings and their valuations between two separate evaluations. # noqa: E501 """ comparisons: Optional[conlist(ReconciliationLine)] = Field(None, description="List of comparisons of left to right hand sides.") data_schema: Optional[ResultDataSchema] = Field(None, alias="dataSchema") __properties = ["comparisons", "dataSchema"]
[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) -> ReconciliationResponse: """Create an instance of ReconciliationResponse 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 item in comparisons (list) _items = [] if self.comparisons: for _item in self.comparisons: if _item: _items.append(_item.to_dict()) _dict['comparisons'] = _items # override the default output from pydantic by calling `to_dict()` of data_schema if self.data_schema: _dict['dataSchema'] = self.data_schema.to_dict() # set to None if comparisons (nullable) is None # and __fields_set__ contains the field if self.comparisons is None and "comparisons" in self.__fields_set__: _dict['comparisons'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> ReconciliationResponse: """Create an instance of ReconciliationResponse from a dict""" if obj is None: return None if not isinstance(obj, dict): return ReconciliationResponse.parse_obj(obj) _obj = ReconciliationResponse.parse_obj({ "comparisons": [ReconciliationLine.from_dict(_item) for _item in obj.get("comparisons")] if obj.get("comparisons") is not None else None, "data_schema": ResultDataSchema.from_dict(obj.get("dataSchema")) if obj.get("dataSchema") is not None else None }) return _obj