130 lines
4.1 KiB
Python
130 lines
4.1 KiB
Python
from typing import TypedDict
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import heurams.services.timer as timer
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from heurams.services.logger import get_logger
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from .base import BaseAlgorithm
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logger = get_logger(__name__)
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class SM2Algorithm(BaseAlgorithm):
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algo_name = "SM-2"
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desc = "经典间隔重复算法"
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class AlgodataDict(TypedDict):
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efactor: float
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real_rept: int
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rept: int
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interval: int
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last_date: int
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next_date: int
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is_activated: int
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last_modify: float
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defaults = {
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"efactor": 2.5,
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"real_rept": 0,
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"rept": 0,
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"interval": 0,
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"last_date": 0,
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"next_date": 0,
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"is_activated": 0,
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"last_modify": timer.get_timestamp(),
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}
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@classmethod
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def revisor(
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cls, algodata: dict, feedback: int = 5, is_new_activation: bool = False
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):
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"""SM-2 算法迭代决策机制实现
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根据 quality(0 ~ 5) 进行参数迭代最佳间隔
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quality 由主程序评估
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Args:
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quality (int): 记忆保留率量化参数
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"""
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logger.debug(
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"SM2.revisor 开始, feedback: %d, is_new_activation: %s",
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feedback,
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is_new_activation,
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)
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if feedback == -1:
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logger.debug("feedback 为 -1, 跳过更新")
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return
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algodata[cls.algo_name]["efactor"] = algodata[cls.algo_name]["efactor"] + (
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0.1 - (5 - feedback) * (0.08 + (5 - feedback) * 0.02)
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)
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algodata[cls.algo_name]["efactor"] = max(
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1.3, algodata[cls.algo_name]["efactor"]
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)
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logger.debug("更新 efactor: %f", algodata[cls.algo_name]["efactor"])
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if feedback < 3:
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algodata[cls.algo_name]["rept"] = 0
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algodata[cls.algo_name]["interval"] = 0
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logger.debug("feedback < 3, 重置 rept 和 interval")
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else:
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algodata[cls.algo_name]["rept"] += 1
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logger.debug("递增 rept: %d", algodata[cls.algo_name]["rept"])
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algodata[cls.algo_name]["real_rept"] += 1
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logger.debug("递增 real_rept: %d", algodata[cls.algo_name]["real_rept"])
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if is_new_activation:
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algodata[cls.algo_name]["rept"] = 0
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algodata[cls.algo_name]["efactor"] = 2.5
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logger.debug("新激活, 重置 rept 和 efactor")
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if algodata[cls.algo_name]["rept"] == 0:
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algodata[cls.algo_name]["interval"] = 1
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logger.debug("rept=0, 设置 interval=1")
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elif algodata[cls.algo_name]["rept"] == 1:
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algodata[cls.algo_name]["interval"] = 6
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logger.debug("rept=1, 设置 interval=6")
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else:
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algodata[cls.algo_name]["interval"] = round(
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algodata[cls.algo_name]["interval"] * algodata[cls.algo_name]["efactor"]
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)
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logger.debug(
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"rept>1, 计算 interval: %d", algodata[cls.algo_name]["interval"]
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)
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algodata[cls.algo_name]["last_date"] = timer.get_daystamp()
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algodata[cls.algo_name]["next_date"] = (
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timer.get_daystamp() + algodata[cls.algo_name]["interval"]
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)
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algodata[cls.algo_name]["last_modify"] = timer.get_timestamp()
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logger.debug(
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"更新日期: last_date=%d, next_date=%d, last_modify=%f",
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algodata[cls.algo_name]["last_date"],
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algodata[cls.algo_name]["next_date"],
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algodata[cls.algo_name]["last_modify"],
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)
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@classmethod
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def is_due(cls, algodata):
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result = algodata[cls.algo_name]["next_date"] <= timer.get_daystamp()
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logger.debug(
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"SM2.is_due: next_date=%d, current_daystamp=%d, result=%s",
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algodata[cls.algo_name]["next_date"],
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timer.get_daystamp(),
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result,
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)
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return result
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@classmethod
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def get_rating(cls, algodata):
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efactor = algodata[cls.algo_name]["efactor"]
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logger.debug("SM2.rate: efactor=%f", efactor)
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return str(efactor)
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@classmethod
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def nextdate(cls, algodata) -> int:
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next_date = algodata[cls.algo_name]["next_date"]
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logger.debug("SM2.nextdate: %d", next_date)
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return next_date
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