Source code for plaid2.model.error

from typing import Any, Dict, List, Optional, Union
from enum import Enum
from pydantic import BaseModel, Field


[docs]class Error(BaseModel): status: Optional[float] = None """The HTTP status code associated with the error. This will only be returned in the response body when the error information is provided via a webhook.""" causes: Optional[List[Any]] = None """In the Assets product, a request can pertain to more than one Item. If an error is returned for such a request, `causes` will return an array of errors containing a breakdown of these errors on the individual Item level, if any can be identified. `causes` will only be provided for the `error_type` `ASSET_REPORT_ERROR`. `causes` will also not be populated inside an error nested within a `warning` object.""" display_message: Optional[str] = None """A user-friendly representation of the error code. `null` if the error is not related to user action. This may change over time and is not safe for programmatic use.""" error_type: str """A broad categorization of the error. Safe for programmatic use.""" request_id: Optional[str] = None """A unique ID identifying the request, to be used for troubleshooting purposes. This field will be omitted in errors provided by webhooks.""" documentation_url: Optional[str] = None """The URL of a Plaid documentation page with more information about the error""" error_code: str """The particular error code. Safe for programmatic use.""" error_message: str """A developer-friendly representation of the error code. This may change over time and is not safe for programmatic use.""" suggested_action: Optional[str] = None """Suggested steps for resolving the error"""
[docs] def json(self, **kwargs: Any) -> str: """Return a json string representation of the object. Takes same keyword arguments as pydantic.BaseModel.json""" kwargs.setdefault("by_alias", True) return super().json(**kwargs)
[docs] def dict(self, **kwargs: Any) -> Dict[str, Any]: """Return a dict representation of the object. Takes same keyword arguments as pydantic.BaseModel.dict""" kwargs.setdefault("by_alias", True) return super().dict(**kwargs)
[docs] @classmethod def parse_obj(cls, data: Any) -> "Error": """Parse a dict into the object. Takes same keyword arguments as pydantic.BaseModel.parse_obj""" return super().parse_obj(data)
[docs] @classmethod def parse_raw(cls, b: Union[bytes, str], **kwargs: Any) -> "Error": """Parse a json string into the object. Takes same keyword arguments as pydantic.BaseModel.parse_raw""" return super().parse_raw(b, **kwargs)