Source code for codegrade.models.restriction_exam_environment_artifact_preparation

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

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

from __future__ import annotations

import datetime
import typing as t
from dataclasses import dataclass, field

import cg_request_args as rqa

from ..utils import to_dict
from .artifact_preparation import ArtifactPreparation




@dataclass(kw_only=True)
class RestrictionExamEnvironmentArtifactPreparation(ArtifactPreparation):
    """The student must install a file before the exam starts."""

    #: The moment from which the requesting user may set up the exam
    #: environment, derived from their effective entry window. `None` when no
    #: window resolves and preparing is therefore not time-bounded. Preparing
    #: before this moment is refused, so a UI offering the set-up action should
    #: disable it until then.
    opens_at: t.Optional[datetime.datetime]

    raw_data: t.Optional[t.Dict[str, t.Any]] = field(init=False, repr=False)

    data_parser: t.ClassVar[t.Any] = rqa.Lazy(
        lambda: ArtifactPreparation.data_parser.parser.combine(
            rqa.FixedMapping(
                rqa.RequiredArgument(
                    "opens_at",
                    rqa.Nullable(rqa.RichValue.DateTime),
                    doc="The moment from which the requesting user may set up the exam environment, derived from their effective entry window. `None` when no window resolves and preparing is therefore not time-bounded. Preparing before this moment is refused, so a UI offering the set-up action should disable it until then.",
                ),
            )
        )
    )

    def to_dict(self) -> t.Dict[str, t.Any]:
        res: t.Dict[str, t.Any] = {
            "opens_at": to_dict(self.opens_at),
            "tag": to_dict(self.tag),
        }
        return res

    @classmethod
    def from_dict(
        cls: t.Type[RestrictionExamEnvironmentArtifactPreparation],
        d: t.Dict[str, t.Any],
    ) -> RestrictionExamEnvironmentArtifactPreparation:
        parsed = cls.data_parser.try_parse(d)

        res = cls(
            opens_at=parsed.opens_at,
            tag=parsed.tag,
        )
        res.raw_data = d
        return res



import os

if os.getenv("CG_GENERATING_DOCS", "False").lower() in ("", "true"):
    pass