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
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) -> 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