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7547b395ea
using floats for the primary key causes sqlite to generate an extra index, which is expensive for large histories
35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright: Damien Elmes <anki@ichi2.net>
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# License: GNU GPL, version 3 or later; http://www.gnu.org/copyleft/gpl.html
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import time
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from anki.db import *
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# Flags: 0=standard review, 1=reschedule due to cram, drill, etc
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# Rep: Repetition number. The same number may appear twice if a card has been
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# manually rescheduled or answered on multiple sites before a sync.
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#
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# We store the times in integer milliseconds to avoid an extra index on the
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# primary key.
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revlogTable = Table(
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'revlog', metadata,
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Column('time', Integer, nullable=False, primary_key=True),
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Column('cardId', Integer, nullable=False),
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Column('ease', Integer, nullable=False),
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Column('rep', Integer, nullable=False),
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Column('lastInterval', Float, nullable=False),
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Column('interval', Float, nullable=False),
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Column('factor', Float, nullable=False),
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Column('userTime', Integer, nullable=False),
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Column('flags', Integer, nullable=False, default=0))
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def logReview(db, card, ease, flags=0):
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db.statement("""
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insert into revlog values (
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:created, :cardId, :ease, :rep, :lastInterval, :interval, :factor,
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:userTime, :flags)""",
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created=int(time.time()*1000), cardId=card.id, ease=ease, rep=card.reps,
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lastInterval=card.lastInterval, interval=card.interval,
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factor=card.factor, userTime=int(card.userTime()*1000),
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flags=flags)
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