"""The module that defines the ``UpdatePeerFeedbackSettingsAssignmentData`` 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
[docs]@dataclass
class UpdatePeerFeedbackSettingsAssignmentData:
"""Input data required for the `Assignment::UpdatePeerFeedbackSettings`
operation.
"""
#: The amount of subjects a single reviewer should give peer feedback on.
amount: int
#: The amount of time in seconds that a user has to give peer feedback
#: after the deadline has expired.
time: t.Optional[datetime.timedelta]
#: Should peer feedback comments by default be approved.
auto_approved: bool
#: Should we redivide when a user submits its first submission or its last
#: submission is deleted after the deadline? If this is `False` it might
#: happen that some users are reviewed by less or more than `amount` of
#: students.
redivide_after_deadline: bool = True
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(
"amount",
rqa.SimpleValue.int,
doc="The amount of subjects a single reviewer should give peer feedback on.",
),
rqa.RequiredArgument(
"time",
rqa.Nullable(rqa.RichValue.TimeDelta),
doc="The amount of time in seconds that a user has to give peer feedback after the deadline has expired.",
),
rqa.RequiredArgument(
"auto_approved",
rqa.SimpleValue.bool,
doc="Should peer feedback comments by default be approved.",
),
rqa.DefaultArgument(
"redivide_after_deadline",
rqa.SimpleValue.bool,
doc="Should we redivide when a user submits its first submission or its last submission is deleted after the deadline? If this is `False` it might happen that some users are reviewed by less or more than `amount` of students.",
default=lambda: True,
),
).use_readable_describe(True)
)
def to_dict(self) -> t.Dict[str, t.Any]:
res: t.Dict[str, t.Any] = {
"amount": to_dict(self.amount),
"time": to_dict(self.time),
"auto_approved": to_dict(self.auto_approved),
"redivide_after_deadline": to_dict(self.redivide_after_deadline),
}
return res
@classmethod
def from_dict(
cls: t.Type[UpdatePeerFeedbackSettingsAssignmentData],
d: t.Dict[str, t.Any],
) -> UpdatePeerFeedbackSettingsAssignmentData:
parsed = cls.data_parser.try_parse(d)
res = cls(
amount=parsed.amount,
time=parsed.time,
auto_approved=parsed.auto_approved,
redivide_after_deadline=parsed.redivide_after_deadline,
)
res.raw_data = d
return res