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f3e81c8a95
Ideally this would have been in beta 6 :-) No add-ons appear to be using customstudy.py/taglimit.py though, so it should hopefully not be disruptive. In the earlier custom study changes, we didn't get around to addressing issue #1136. Now instead of trying to determine the maximum increase to allow (which doesn't work correctly with nested decks), we just present the total available to the user again, and let them decide. There's plenty of room for improvement here still, but further work here might be better done once we look into decoupling deck limits from deck presets. Tags and available cards are fetched prior to showing the dialog now, and will show a progress dialog if things take a while. Tags are stored in an aux var now, so they don't inflate the deck object size.
248 lines
8.2 KiB
Python
248 lines
8.2 KiB
Python
# Copyright: Ankitects Pty Ltd and contributors
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# License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
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# pylint: disable=invalid-name
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"""
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The V3/2021 scheduler.
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https://faqs.ankiweb.net/the-2021-scheduler.html
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It uses the same DB schema as the V2 scheduler, and 'schedVer' remains
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as '2' internally.
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"""
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from __future__ import annotations
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from typing import Literal, Optional, Sequence
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from anki import scheduler_pb2
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from anki._legacy import deprecated
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from anki.cards import Card
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from anki.collection import OpChanges
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from anki.consts import *
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from anki.decks import DeckId
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from anki.errors import DBError
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from anki.scheduler.legacy import SchedulerBaseWithLegacy
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from anki.types import assert_exhaustive
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from anki.utils import int_time
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QueuedCards = scheduler_pb2.QueuedCards
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SchedulingState = scheduler_pb2.SchedulingState
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NextStates = scheduler_pb2.NextCardStates
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CardAnswer = scheduler_pb2.CardAnswer
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class Scheduler(SchedulerBaseWithLegacy):
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version = 3
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# don't rely on this, it will likely be removed in the future
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reps = 0
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# Fetching the next card
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##########################################################################
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def get_queued_cards(
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self,
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*,
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fetch_limit: int = 1,
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intraday_learning_only: bool = False,
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) -> QueuedCards:
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"Returns zero or more pending cards, and the remaining counts. Idempotent."
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return self.col._backend.get_queued_cards(
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fetch_limit=fetch_limit, intraday_learning_only=intraday_learning_only
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)
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def describe_next_states(self, next_states: NextStates) -> Sequence[str]:
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"Labels for each of the answer buttons."
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return self.col._backend.describe_next_states(next_states)
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# Answering a card
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##########################################################################
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def build_answer(
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self, *, card: Card, states: NextStates, rating: CardAnswer.Rating.V
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) -> CardAnswer:
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"Build input for answer_card()."
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if rating == CardAnswer.AGAIN:
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new_state = states.again
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elif rating == CardAnswer.HARD:
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new_state = states.hard
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elif rating == CardAnswer.GOOD:
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new_state = states.good
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elif rating == CardAnswer.EASY:
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new_state = states.easy
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else:
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raise Exception("invalid rating")
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return CardAnswer(
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card_id=card.id,
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current_state=states.current,
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new_state=new_state,
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rating=rating,
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answered_at_millis=int_time(1000),
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milliseconds_taken=card.time_taken(),
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)
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def answer_card(self, input: CardAnswer) -> OpChanges:
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"Update card to provided state, and remove it from queue."
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self.reps += 1
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op_bytes = self.col._backend.answer_card_raw(input.SerializeToString())
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return OpChanges.FromString(op_bytes)
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def state_is_leech(self, new_state: SchedulingState) -> bool:
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"True if new state marks the card as a leech."
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return self.col._backend.state_is_leech(new_state)
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# Fetching the next card (legacy API)
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##########################################################################
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def reset(self) -> None:
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# backend automatically resets queues as operations are performed
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pass
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def getCard(self) -> Optional[Card]:
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"""Fetch the next card from the queue. None if finished."""
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try:
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queued_card = self.get_queued_cards().cards[0]
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except IndexError:
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return None
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card = Card(self.col)
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card._load_from_backend_card(queued_card.card)
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card.start_timer()
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return card
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def _is_finished(self) -> bool:
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"Don't use this, it is a stop-gap until this code is refactored."
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return not self.get_queued_cards().cards
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def counts(self, card: Optional[Card] = None) -> tuple[int, int, int]:
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info = self.get_queued_cards()
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return (info.new_count, info.learning_count, info.review_count)
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@property
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def newCount(self) -> int:
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return self.counts()[0]
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@property
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def lrnCount(self) -> int:
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return self.counts()[1]
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@property
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def reviewCount(self) -> int:
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return self.counts()[2]
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def countIdx(self, card: Card) -> int:
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if card.queue in (QUEUE_TYPE_DAY_LEARN_RELEARN, QUEUE_TYPE_PREVIEW):
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return QUEUE_TYPE_LRN
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return card.queue
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def answerButtons(self, card: Card) -> int:
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return 4
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def nextIvlStr(self, card: Card, ease: int, short: bool = False) -> str:
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"Return the next interval for CARD as a string."
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states = self.col._backend.get_next_card_states(card.id)
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return self.col._backend.describe_next_states(states)[ease - 1]
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# Answering a card (legacy API)
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##########################################################################
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def answerCard(self, card: Card, ease: Literal[1, 2, 3, 4]) -> OpChanges:
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if ease == BUTTON_ONE:
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rating = CardAnswer.AGAIN
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elif ease == BUTTON_TWO:
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rating = CardAnswer.HARD
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elif ease == BUTTON_THREE:
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rating = CardAnswer.GOOD
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elif ease == BUTTON_FOUR:
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rating = CardAnswer.EASY
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else:
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raise Exception("invalid ease")
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states = self.col._backend.get_next_card_states(card.id)
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changes = self.answer_card(
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self.build_answer(card=card, states=states, rating=rating)
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)
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# tests assume card will be mutated, so we need to reload it
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card.load()
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return changes
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# Next times (legacy API)
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##########################################################################
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# fixme: move these into tests_schedv2 in the future
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def _interval_for_state(self, state: scheduler_pb2.SchedulingState) -> int:
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kind = state.WhichOneof("value")
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if kind == "normal":
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return self._interval_for_normal_state(state.normal)
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elif kind == "filtered":
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return self._interval_for_filtered_state(state.filtered)
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else:
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assert_exhaustive(kind)
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return 0 # unreachable
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def _interval_for_normal_state(
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self, normal: scheduler_pb2.SchedulingState.Normal
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) -> int:
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kind = normal.WhichOneof("value")
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if kind == "new":
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return 0
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elif kind == "review":
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return normal.review.scheduled_days * 86400
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elif kind == "learning":
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return normal.learning.scheduled_secs
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elif kind == "relearning":
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return normal.relearning.learning.scheduled_secs
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else:
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assert_exhaustive(kind)
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return 0 # unreachable
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def _interval_for_filtered_state(
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self, filtered: scheduler_pb2.SchedulingState.Filtered
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) -> int:
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kind = filtered.WhichOneof("value")
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if kind == "preview":
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return filtered.preview.scheduled_secs
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elif kind == "rescheduling":
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return self._interval_for_normal_state(filtered.rescheduling.original_state)
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else:
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assert_exhaustive(kind)
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return 0 # unreachable
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def nextIvl(self, card: Card, ease: int) -> Any:
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"Don't use this - it is only required by tests, and will be moved in the future."
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states = self.col._backend.get_next_card_states(card.id)
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if ease == BUTTON_ONE:
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new_state = states.again
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elif ease == BUTTON_TWO:
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new_state = states.hard
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elif ease == BUTTON_THREE:
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new_state = states.good
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elif ease == BUTTON_FOUR:
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new_state = states.easy
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else:
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raise Exception("invalid ease")
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return self._interval_for_state(new_state)
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# Other legacy
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###################
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# called by col.decks.active(), which add-ons are using
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@property
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def active_decks(self) -> list[DeckId]:
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try:
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return self.col.db.list("select id from active_decks")
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except DBError:
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return []
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@deprecated(info="no longer used by Anki; will be removed in the future")
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def totalNewForCurrentDeck(self) -> int:
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return self.col.db.scalar(
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f"""
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select count() from cards where queue={QUEUE_TYPE_NEW} and did in (select id from active_decks)"""
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)
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