不成熟的改进

particles.py

@@ -5,6 +5,11 @@ import copy
 import datetime
 import json
 
+class Aux():
+    @staticmethod
+    def get_daystamp():
+        return (time.time() // (24*3600))
+
 class Atom():
     """原子: 由电子(分析数据)和核子(材料元数据)组成的反应(运行时)中间对象"""
 
@@ -18,7 +23,7 @@ class Electron():
     real_rept = 0 # (实际)重复次数
     rept = 0 # (有效)重复次数
     interval = 0 # 最佳间隔
-ept',    last_date = 0 # 上一次复习的时间戳
+    last_date = 0 # 上一次复习的时间戳
     next_date = 0 # 将要复习的时间戳
     is_activated = 0 # 激活状态
     # *NOTE: 这里的"时间戳" 是以天为单位的整数, 即 UNIX 时间戳除以一天的秒数取整
@@ -42,6 +47,47 @@ ept',    last_date = 0 # 上一次复习的时间戳
         setattr(self, var, value)
         self.last_modify = time.time()
     
+    def update(self, quality):
+        """
+        根据 quality(0 ~ 5) 进行参数迭代
+        quality 由主程序评估
+        """
+        if quality == -1:
+            return -1
+        self.efactor = self.efactor + (0.1 - (5 - quality) * (0.08 + (5 - quality) * 0.02))
+        self.efactor = max(1.3, self.efactor)
+
+        if quality < 3:
+            # 如果回忆质量低于 3，重置重复次数
+            self.rept = 0 
+            self.interval = 0 # 设为0，以便下面重新计算I(1)
+        else:
+            self.rept += 1
+        self.real_rept += 1
+        
+        if self.rept == 0: # 刚被重置或首次遇到
+            self.interval = 1 # I(1) 
+        elif self.rept == 1:
+            self.interval = 6 # I(2) 经验公式
+        else:
+            self.interval = round(self.interval * self.efactor)
+
+        self.last_date = Aux.get_daystamp()
+        self.next_date = self.last_date + self.interval
+
+    def __str__(self):
+        return (f"记忆单元预览 \n"
+                f"内容: '{self.content}' \n"
+                f"易度系数: {self.efactor:.2f} \n"
+                f"已经重复的次数: {self.rept} \n"
+                f"下次间隔: {self.interval} 天 \n"
+                f"下次复习日期时间戳: {self.next_date}")
+
+    def __eq__(self, other):
+        if self.content == other.content:
+            return 1
+        return 0
+
     def __hash__(self):
         return hash(self.content)
 
@@ -80,4 +126,26 @@ class Nucleon():
     def save_to_file(nucleon_list, path: pathlib.Path):
         with open(path, 'w') as f:
             toml.dump(nucleon_list, f)
-            
+
+class AtomicFile():
+    def __init__(self, path, type_="unknown"):
+        self.path = path
+        self.type_ = type_
+        if type_ == "nucleon":
+            self.name, self.datalist = Nucleon.import_from_file(pathlib.Path(path))
+        if type_ == "electron":
+            self.name, self.datalist = Electron.import_from_file(pathlib.Path(path))
+    def save(self):
+        if self.type_ == "nucleon":
+            Nucleon.save_to_file(self.datalist, self.path)
+        if self.type_ == "electron":
+            Electron.save_to_file(self.datalist, self.path)
+    def get_full_content(self):
+        if self.type_ == "nucleon":
+            text = ""
+            for i in self.datalist:
+                text += i.content
+            return text
+        return ""
+    def get_len(self):
+        return len(self.datalist)