Source code for sdk.lusid.models.response_meta_data

# 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, StrictStr, conlist

[docs] class ResponseMetaData(BaseModel): """ Metadata related to an api response # noqa: E501 """ type: Optional[StrictStr] = Field(None, description="The type of meta data information being provided") description: Optional[StrictStr] = Field(None, description="The description of what occured for this specific piece of meta data") identifier_type: Optional[StrictStr] = Field(None, alias="identifierType", description="The type of the listed identifiers") identifiers: Optional[conlist(StrictStr)] = Field(None, description="The related identifiers that were impacted by this event") __properties = ["type", "description", "identifierType", "identifiers"]
[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) -> ResponseMetaData: """Create an instance of ResponseMetaData 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 type (nullable) is None # and __fields_set__ contains the field if self.type is None and "type" in self.__fields_set__: _dict['type'] = None # set to None if description (nullable) is None # and __fields_set__ contains the field if self.description is None and "description" in self.__fields_set__: _dict['description'] = None # set to None if identifier_type (nullable) is None # and __fields_set__ contains the field if self.identifier_type is None and "identifier_type" in self.__fields_set__: _dict['identifierType'] = None # set to None if identifiers (nullable) is None # and __fields_set__ contains the field if self.identifiers is None and "identifiers" in self.__fields_set__: _dict['identifiers'] = None return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> ResponseMetaData: """Create an instance of ResponseMetaData from a dict""" if obj is None: return None if not isinstance(obj, dict): return ResponseMetaData.parse_obj(obj) _obj = ResponseMetaData.parse_obj({ "type": obj.get("type"), "description": obj.get("description"), "identifier_type": obj.get("identifierType"), "identifiers": obj.get("identifiers") }) return _obj