更新 providers

src/heurams/kernel/particles/electron.py

@@ -1,11 +1,11 @@
 import heurams.services.timer as timer
 from heurams.context import config_var
-from heurams.kernel.algorithms import get_algorithm
+from heurams.kernel.algorithms import algorithms
 
 class Electron:
     """电子: 记忆分析元数据及算法"""
 
-    def __init__(self, ident: str, algodata: dict = {}, algo: str = "supermemo2"):
+    def __init__(self, ident: str, algodata: dict = {}, algo_name: str = "supermemo2"):
         """初始化电子对象 (记忆数据)
     
         Args:
@@ -15,14 +15,12 @@ class Electron:
         """
         self.algodata = algodata
         self.ident = ident
-        self.algo = algo
-        
-        algorithm_config = get_algorithm(self.algo)
+        self.algo = algorithms[algo_name]
 
         if self.algo not in self.algodata.keys():
             self.algodata[self.algo] = {}
         if not self.algodata[self.algo]:
-            self._default_init(algorithm_config['defaults'])
+            self._default_init(self.algo.defaults)
 
     def _default_init(self, defaults: dict):
         """默认初始化包装"""
@@ -41,6 +39,11 @@ class Electron:
         else:
             print(f"警告: '{var}' 非已知元数据字段")
 
+    def is_due(self):
+        """是否应该复习
+        """
+        return self.algo.is_due(self.algodata)
+
     def revisor(self, quality: int = 5, is_new_activation: bool = False):
         """算法迭代决策机制实现
         
@@ -48,8 +51,7 @@ class Electron:
             quality (int): 记忆保留率量化参数 (0-5)
             is_new_activation (bool): 是否为初次激活
         """
-        algorithm_config = get_algorithm(self.algo)
-        algorithm_config['revisor'](self.algodata, quality, is_new_activation)
+        self.algo.revisor(self.algodata, quality, is_new_activation)
 
     def __str__(self):
         return (