diff --git a/lib/dataread.py b/lib/dataread.py
index 8eb3ef7..8895ff4 100644
--- a/lib/dataread.py
+++ b/lib/dataread.py
@@ -56,6 +56,7 @@ global_config = {
     'dataset': None,                   # 数据集路径
     'y': None,                         # 目标变量列名
     'is_fivemodels': None,
+    'weight_dict': None,
 
     # 模型参数
     'data_set': None,                  # 数据集名称
@@ -1106,6 +1107,8 @@ class Config:
     def y(self): return global_config['y']
     @property
     def is_fivemodels(self): return global_config['is_fivemodels']
+    @property
+    def weight_dict(self): return global_config['weight_dict']
 
     # 模型参数
     @property
diff --git a/main_yuanyou.py b/main_yuanyou.py
index e16af00..e2b2e31 100644
--- a/main_yuanyou.py
+++ b/main_yuanyou.py
@@ -17,6 +17,7 @@ global_config.update({
     'is_train': is_train,
     'is_fivemodels': is_fivemodels,
     'settings': settings,
+    'weight_dict': weight_dict,
 
 
     # 模型参数
diff --git a/models/nerulforcastmodels.py b/models/nerulforcastmodels.py
index 37c913f..c6500b5 100644
--- a/models/nerulforcastmodels.py
+++ b/models/nerulforcastmodels.py
@@ -1220,7 +1220,7 @@ def model_losss(sqlitedb, end_time):
         accuracy_rote = 0
         for i, group in df3.groupby('CREAT_DATE'):
             accuracy_rote += (group['ACCURACY'].sum() /
-                              len(group))*weight_dict[len(group)-1]
+                              len(group))*config.weight_dict[len(group)-1]
         accuracy_rote = round(accuracy_rote, 2)
         df4 = pd.DataFrame(columns=['开始日期', '结束日期', '准确率'])
         df4.loc[len(df4)] = {'开始日期': ds_dates[0],
diff --git a/原油八大维度预测任务.py b/原油八大维度预测任务.py
index 3134d75..27bbbbb 100644
--- a/原油八大维度预测任务.py
+++ b/原油八大维度预测任务.py
@@ -9,14 +9,14 @@ import time
 def run_predictions(target_date):
     """执行三个预测脚本"""
     scripts = [
-        # "main_yuanyou.py",
-        # "main_yuanyou_zhoudu.py",
+        "main_yuanyou.py",
+        "main_yuanyou_zhoudu.py",
         "main_yuanyou_yuedu.py"
     ]
 
     # 依次执行每个脚本
     for script in scripts:
-        command = ["python", script]
+        command = [r"C:\Users\Hello\.conda\envs\predict\python", script]
         subprocess.run(command, check=True)
 
 
@@ -29,19 +29,22 @@ if __name__ == "__main__":
     # start_date = datetime.date(2025, 3, 13)
     # 开始时间取当前时间
     start_date = datetime.date.today()
-    end_date = datetime.date(2100, 12, 31)
+    # end_date = datetime.date(2100, 12, 31)
 
     current_date = start_date
-    while current_date <= end_date:
-        if is_weekday(current_date):
-            # 等待到目标日期的7点
-            target_time = datetime.datetime.combine(
-                current_date, datetime.time(13, 15))
-            while datetime.datetime.now() < target_time:
-                time.sleep(60)  # 每分钟检查一次
-                print(f"等待到 {target_time} 开始执行任务")
+    # while current_date <= end_date:
+    #     if is_weekday(current_date):
+    #         # 等待到目标日期的7点
+    #         target_time = datetime.datetime.combine(
+    #             current_date, datetime.time(13, 15))
+    #         while datetime.datetime.now() < target_time:
+    #             time.sleep(60)  # 每分钟检查一次
+    #             print(f"等待到 {target_time} 开始执行任务")
 
-            print(f"开始执行 {current_date} 的预测任务")
-            run_predictions(current_date)
+    #         print(f"开始执行 {current_date} 的预测任务")
+    #         run_predictions(current_date)
 
-        current_date += datetime.timedelta(days=1)
+    #     current_date += datetime.timedelta(days=1)
+
+    print(f"开始执行 {current_date} 的预测任务")
+    run_predictions(current_date)