Source code for codegrade.models.lti_assignment_launch_data

"""The module that defines the ``LTIAssignmentLaunchData`` 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 .base_launch_data import BaseLaunchData
from .extended_assignment import ExtendedAssignment
from .extended_work import ExtendedWork


[docs]@dataclass class LTIAssignmentLaunchData(BaseLaunchData): """This is the data returned to the client after a successful LTI launch.""" #: Always `normal_result`. type: t.Literal["normal_result"] #: Same as `course` but the assignment instead. assignment: ExtendedAssignment #: The submission to open. submission: t.Optional[ExtendedWork] raw_data: t.Optional[t.Dict[str, t.Any]] = field(init=False, repr=False) data_parser: t.ClassVar = rqa.Lazy( lambda: BaseLaunchData.data_parser.parser.combine( rqa.FixedMapping( rqa.RequiredArgument( "type", rqa.StringEnum("normal_result"), doc="Always `normal_result`.", ), rqa.RequiredArgument( "assignment", parsers.ParserFor.make(ExtendedAssignment), doc="Same as `course` but the assignment instead.", ), rqa.RequiredArgument( "submission", rqa.Nullable(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), "assignment": to_dict(self.assignment), "submission": to_dict(self.submission), "course": to_dict(self.course), "new_role_created": to_dict(self.new_role_created), "new_session": to_dict(self.new_session), "updated_email": to_dict(self.updated_email), } return res @classmethod def from_dict( cls: t.Type[LTIAssignmentLaunchData], d: t.Dict[str, t.Any] ) -> LTIAssignmentLaunchData: parsed = cls.data_parser.try_parse(d) res = cls( type=parsed.type, assignment=parsed.assignment, submission=parsed.submission, course=parsed.course, new_role_created=parsed.new_role_created, new_session=parsed.new_session, updated_email=parsed.updated_email, ) res.raw_data = d return res
import os if os.getenv("CG_GENERATING_DOCS", "False").lower() in ("", "true"): from .extended_course import ExtendedCourse from .user_login_response import UserLoginResponse