遗传算法001

controller_db.py

@@ -32,7 +32,7 @@ class ControllerDB:
         dct_para_in_test = dct_conf_experiment['test'] if self.is_test else dct_conf_experiment['not_test']
         self.dct_parameter = {'meta_seed': dct_conf_experiment['meta_seed'], **dct_para_in_test}
 
-        print(self.dct_parameter)
+        # print(self.dct_parameter)
         # 0, not reset; 1, reset self; 2, reset all
         self.reset_flag = reset_flag
         self.is_exist = False
@@ -328,7 +328,7 @@ class ControllerDB:
                  )).scalar()
         # 控制 n_sample数量 作为后面的参数
         n_sample = 0 if res is None else res
-        print(f'There are a total of {n_sample} samples.')
+        # print(f'There are a total of {n_sample} samples.')
         # 查找 is_done_flag = -1 也就是没有运行的 样本 运行后会改为0
         res = db_session.execute(
             text(f"SELECT id FROM {self.db_name_prefix}_sample "
@@ -340,15 +340,18 @@ class ControllerDB:
 
     @staticmethod
     def select_random_sample(lst_s_id):
-        while 1:
-            if len(lst_s_id) == 0:
-                return None
-            s_id = random.choice(lst_s_id)
-            lst_s_id.remove(s_id)
-            res = db_session.query(Sample).filter(Sample.id == int(s_id),
-                                                  Sample.is_done_flag == -1)
+        temp_lst = lst_s_id[:]  # 复制列表
+        while temp_lst:
+            s_id = random.choice(temp_lst)
+            temp_lst.remove(s_id)  # 从临时列表删除
+            res = db_session.query(Sample).filter(
+                Sample.id == int(s_id),
+                Sample.is_done_flag == -1
+            )
             if res.count() == 1:
                 return res[0]
+        # 尝试完所有样本都没找到
+        return None
 
     def fetch_a_sample(self, s_id=None):
         # 由Computation 调用 返回 sample对象 同时给出 2中 指定访问模式 抓取特定的 样本 通过s_id