Anki/rslib/src/scheduler/answering/relearning.rs
Damien Elmes 75de1f9709 Record FSRS difficulty in the review log
Will allow user to see a record of difficulty changes, and allows us
to identify reviews that have been done with FSRS vs SM-2, since the
valid range is different.
2023-09-17 11:50:38 +10:00

52 lines
1.8 KiB
Rust

// Copyright: Ankitects Pty Ltd and contributors
// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
use super::CardStateUpdater;
use super::RevlogEntryPartial;
use crate::card::CardQueue;
use crate::card::CardType;
use crate::scheduler::states::CardState;
use crate::scheduler::states::IntervalKind;
use crate::scheduler::states::RelearnState;
impl CardStateUpdater {
pub(super) fn apply_relearning_state(
&mut self,
current: CardState,
next: RelearnState,
) -> RevlogEntryPartial {
self.card.interval = next.review.scheduled_days;
self.card.remaining_steps = next.learning.remaining_steps;
self.card.ctype = CardType::Relearn;
self.card.lapses = next.review.lapses;
self.card.ease_factor = (next.review.ease_factor * 1000.0).round() as u16;
if let Some(position) = current.new_position() {
self.card.original_position = Some(position)
}
self.card.memory_state = next.learning.memory_state;
let interval = next
.interval_kind()
.maybe_as_days(self.secs_until_rollover());
match interval {
IntervalKind::InSecs(secs) => {
self.card.queue = CardQueue::Learn;
self.card.due = self.fuzzed_next_learning_timestamp(secs);
}
IntervalKind::InDays(days) => {
self.card.queue = CardQueue::DayLearn;
self.card.due = (self.timing.days_elapsed + days) as i32;
}
}
RevlogEntryPartial::new(
current,
next.into(),
self.card
.memory_state
.map(|d| d.difficulty_shifted())
.unwrap_or(next.review.ease_factor),
self.secs_until_rollover(),
)
}
}