Source code for sdk.lusid.models.generated_event_diagnostics

# 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

[docs] class GeneratedEventDiagnostics(BaseModel): """ Represents a set of diagnostics per generatedEvent, where applicable. # noqa: E501 """ instrument_event_id: StrictStr = Field(...,alias="instrumentEventId") type: StrictStr = Field(...,alias="type", description="Available values: MarketDataFailure, TransactionFailure, EventCombinationFailure, RepodOutHolding, ScheduleFailure.") detail: StrictStr = Field(...,alias="detail") error_details: List[StrictStr] = Field(alias="errorDetails") __properties = ["instrumentEventId", "type", "detail", "errorDetails"]
[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) -> GeneratedEventDiagnostics: """Create an instance of GeneratedEventDiagnostics 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) return _dict
[docs] @classmethod def from_dict(cls, obj: dict) -> GeneratedEventDiagnostics: """Create an instance of GeneratedEventDiagnostics from a dict""" if obj is None: return None if not isinstance(obj, dict): return GeneratedEventDiagnostics.parse_obj(obj) _obj = GeneratedEventDiagnostics.parse_obj({ "instrument_event_id": obj.get("instrumentEventId"), "type": obj.get("type"), "detail": obj.get("detail"), "error_details": obj.get("errorDetails") }) return _obj
GeneratedEventDiagnostics.update_forward_refs()