LoginEnrollmentEvent

pydantic model gafaelfawr.events.LoginEnrollmentEvent

Authenticated but unknown user redirected to the enrollment flow.

Parameters:

data (Any)

Show JSON schema

{
   "title": "LoginEnrollmentEvent",
   "description": "Authenticated but unknown user redirected to the enrollment flow.",
   "type": "object",
   "properties": {}
}

asdict()

Returns this model in dictionary form. This method differs from pydantic’s dict by converting all values to their Avro representation. It also doesn’t provide the exclude, include, by_alias, etc. parameters that dict provides.

Return type:

Dict[str, Any]

classmethod fake(**data)

Creates a fake instance of the model.

Attributes:

data: Dict[str, Any] represent the user values to use in the instance

Parameters:

data (Any)

Return type:

TypeVar(CT, bound= AvroBaseModel)

classmethod generate_dataclass()

Return type:

Type[TypeVar(CT, bound= AvroBaseModel)]

classmethod json_schema(*args, **kwargs)

Parameters:

• args (Any)

• kwargs (Any)

Return type:

str

serialize(serialization_type='avro')

Overrides the base AvroModel’s serialize method to inject this class’s standardization factory method

Parameters:

serialization_type (Literal['avro', 'avro-json'], default: 'avro')

Return type:

bytes

to_dict()

Return type:

Dict[str, Any]

validate_avro()

Validate that instance matches the avro schema

Return type:

bool

classmethod validate_structure()

Do runtime validation of fields.

Make sure all of the fields are compatible with the backing datastore (InfluxDB at the moment).

Return type:

None