Source code for codegrade.models.lti_assignment_launch_to_open_submission

"""The module that defines the ``LTIAssignmentLaunchToOpenSubmission`` model.

SPDX-License-Identifier: AGPL-3.0-only OR BSD-3-Clause-Clear
"""

from __future__ import annotations

import typing as t
from dataclasses import dataclass, field

import cg_request_args as rqa

from .. import parsers
from ..utils import to_dict
from .extended_work import ExtendedWork


[docs]@dataclass class LTIAssignmentLaunchToOpenSubmission: """A submission should be opened as the result of this launch.""" #: A submission should be opened. type: t.Literal["submission"] #: The reason the submission is to be opened. Direct will send the user to #: a submission if given a submission_id. Latest will send the user to #: their latest submission. reason: t.Literal["direct", "latest"] #: The submission to open. submission: ExtendedWork raw_data: t.Optional[t.Dict[str, t.Any]] = field(init=False, repr=False) data_parser: t.ClassVar = rqa.Lazy( lambda: rqa.FixedMapping( rqa.RequiredArgument( "type", rqa.StringEnum("submission"), doc="A submission should be opened.", ), rqa.RequiredArgument( "reason", rqa.StringEnum("direct", "latest"), doc="The reason the submission is to be opened. Direct will send the user to a submission if given a submission_id. Latest will send the user to their latest submission.", ), rqa.RequiredArgument( "submission", parsers.ParserFor.make(ExtendedWork), doc="The submission to open.", ), ).use_readable_describe(True) ) def to_dict(self) -> t.Dict[str, t.Any]: res: t.Dict[str, t.Any] = { "type": to_dict(self.type), "reason": to_dict(self.reason), "submission": to_dict(self.submission), } return res @classmethod def from_dict( cls: t.Type[LTIAssignmentLaunchToOpenSubmission], d: t.Dict[str, t.Any] ) -> LTIAssignmentLaunchToOpenSubmission: parsed = cls.data_parser.try_parse(d) res = cls( type=parsed.type, reason=parsed.reason, submission=parsed.submission, ) res.raw_data = d return res