You've already forked HeurAMS-legacy
137 lines
5.3 KiB
Python
137 lines
5.3 KiB
Python
import heurams.services.timer as timer
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from heurams.context import config_var
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from heurams.kernel.algorithms import algorithms
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from heurams.services.logger import get_logger
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logger = get_logger(__name__)
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class Electron:
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"""电子: 记忆分析元数据及算法"""
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def __init__(self, ident: str, algodata: dict = {}, algo_name: str = "supermemo2"):
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"""初始化电子对象 (记忆数据)
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Args:
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ident: 算法的唯一标识符, 用于区分不同的算法实例, 使用 algodata[ident] 获取
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algodata: 算法数据字典, 包含算法的各项参数和设置
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algo: 使用的算法模块标识
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"""
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logger.debug("创建 Electron 实例，ident: '%s', algo_name: '%s'", ident, algo_name)
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self.algodata = algodata
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self.ident = ident
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self.algo = algorithms[algo_name]
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logger.debug("使用的算法类: %s", self.algo.__name__)
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if self.algo not in self.algodata.keys():
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self.algodata[self.algo] = {}
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logger.debug("算法键 '%s' 不存在，已创建空字典", self.algo)
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if not self.algodata[self.algo]:
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logger.debug("算法数据为空，使用默认值初始化")
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self._default_init(self.algo.defaults)
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else:
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logger.debug("算法数据已存在，跳过默认初始化")
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logger.debug("Electron 初始化完成，algodata keys: %s", list(self.algodata.keys()))
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def _default_init(self, defaults: dict):
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"""默认初始化包装"""
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logger.debug("Electron._default_init: 使用默认值，keys: %s", list(defaults.keys()))
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self.algodata[self.algo] = defaults.copy()
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def activate(self):
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"""激活此电子"""
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logger.debug("Electron.activate: 激活 ident='%s'", self.ident)
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self.algodata[self.algo]["is_activated"] = 1
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self.algodata[self.algo]["last_modify"] = timer.get_timestamp()
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logger.debug("电子已激活，is_activated=1")
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def modify(self, var: str, value):
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"""修改 algodata[algo] 中子字典数据"""
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logger.debug("Electron.modify: var='%s', value=%s", var, value)
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if var in self.algodata[self.algo]:
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self.algodata[self.algo][var] = value
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self.algodata[self.algo]["last_modify"] = timer.get_timestamp()
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logger.debug("变量 '%s' 已修改，更新 last_modify", var)
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else:
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logger.warning("'%s' 非已知元数据字段", var)
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print(f"警告: '{var}' 非已知元数据字段")
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def is_due(self):
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"""是否应该复习"""
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logger.debug("Electron.is_due: 检查 ident='%s'", self.ident)
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result = self.algo.is_due(self.algodata)
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logger.debug("is_due 结果: %s", result)
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return result
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def is_activated(self):
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result = self.algodata[self.algo]["is_activated"]
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logger.debug("Electron.is_activated: ident='%s', 结果: %d", self.ident, result)
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return result
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def rate(self):
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"评价"
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logger.debug("Electron.rate: ident='%s'", self.ident)
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result = self.algo.rate(self.algodata)
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logger.debug("rate 结果: %s", result)
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return result
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def nextdate(self) -> int:
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logger.debug("Electron.nextdate: ident='%s'", self.ident)
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result = self.algo.nextdate(self.algodata)
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logger.debug("nextdate 结果: %d", result)
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return result
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def revisor(self, quality: int = 5, is_new_activation: bool = False):
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"""算法迭代决策机制实现
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Args:
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quality (int): 记忆保留率量化参数 (0-5)
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is_new_activation (bool): 是否为初次激活
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"""
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logger.debug("Electron.revisor: ident='%s', quality=%d, is_new_activation=%s",
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self.ident, quality, is_new_activation)
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self.algo.revisor(self.algodata, quality, is_new_activation)
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logger.debug("revisor 完成，更新后的 algodata: %s", self.algodata.get(self.algo, {}))
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def __str__(self):
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return (
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f"记忆单元预览 \n"
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f"标识符: '{self.ident}' \n"
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f"算法: {self.algo} \n"
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f"易度系数: {self.algodata[self.algo]['efactor']:.2f} \n"
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f"已经重复的次数: {self.algodata[self.algo]['rept']} \n"
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f"下次间隔: {self.algodata[self.algo]['interval']} 天 \n"
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f"下次复习日期时间戳: {self.algodata[self.algo]['next_date']}"
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)
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def __eq__(self, other):
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if self.ident == other.ident:
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return True
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return False
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def __hash__(self):
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return hash(self.ident)
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def __getitem__(self, key):
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if key == "ident":
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return self.ident
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if key in self.algodata[self.algo]:
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return self.algodata[self.algo][key]
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else:
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raise KeyError(f"键 '{key}' 未在 algodata[self.algo] 中")
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def __setitem__(self, key, value):
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if key == "ident":
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raise AttributeError("ident 应为只读")
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self.algodata[self.algo][key] = value
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self.algodata[self.algo]["last_modify"] = timer.get_timestamp()
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def __len__(self):
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"""仅返回当前算法的配置数量"""
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return len(self.algodata[self.algo])
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@staticmethod
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def placeholder():
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"""生成一个电子占位符"""
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return Electron("电子对象样例内容", {})
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