diff --git a/main_yuanyou_yuedu.py b/main_yuanyou_yuedu.py
index 58e468b..1e2475a 100644
--- a/main_yuanyou_yuedu.py
+++ b/main_yuanyou_yuedu.py
@@ -50,6 +50,7 @@ global_config.update({
     'login_pushreport_url': login_pushreport_url,
     'login_data': login_data,
     'upload_url': upload_url,
+    'upload_data': upload_data,
     'upload_warning_url': upload_warning_url,
     'warning_data': warning_data,
 
@@ -418,6 +419,8 @@ def predict_main():
     model_results3 = model_losss(sqlitedb, end_time=end_time)
     logger.info('训练数据绘图end')
 
+    push_market_value()
+
     # 模型报告
     logger.info('制作报告ing')
     title = f'{settings}--{end_time}-预测报告'  # 报告标题
@@ -429,7 +432,7 @@ def predict_main():
     logger.info('制作报告end')
     logger.info('模型训练完成')
 
-    push_market_value()
+    
 
     # # LSTM 单变量模型
     # ex_Lstm(df,input_seq_len=input_size,output_seq_len=horizon,is_debug=is_debug,dataset=dataset)
diff --git a/models/nerulforcastmodels.py b/models/nerulforcastmodels.py
index 81902e8..79b75d3 100644
--- a/models/nerulforcastmodels.py
+++ b/models/nerulforcastmodels.py
@@ -1404,7 +1404,7 @@ def model_losss(sqlitedb, end_time):
         plt.close()
 
     _plt_predict_ture(df_combined3)
-    # _plt_modeltopten_predict_ture(df_combined4)
+    _plt_modeltopten_predict_ture(df_combined4)
     _plt_predict_table(df_combined3)
     _plt_model_results3()
 
@@ -1816,7 +1816,7 @@ def model_losss_juxitingbak(sqlitedb, end_time):
             plt.text(i, j, str(j), ha='center', va='bottom')
 
         # 当前日期画竖虚线
-        plt.axvline(x=df['ds'].iloc[-horizon], color='r', linestyle='--')
+        plt.axvline(x=df['ds'].iloc[-config.horizon], color='r', linestyle='--')
         plt.legend()
         plt.xlabel('日期')
         # 自动设置横轴日期显示
@@ -1835,8 +1835,8 @@ def model_losss_juxitingbak(sqlitedb, end_time):
         ax.axis('off')  # 关闭坐标轴
         # 数值保留2位小数
         df = df.round(2)
-        df = df[-horizon:]
-        df['Day'] = [f'Day_{i}' for i in range(1, horizon+1)]
+        df = df[-config.horizon:]
+        df['Day'] = [f'Day_{i}' for i in range(1, config.horizon+1)]
         # Day列放到最前面
         df = df[['Day'] + list(df.columns[:-1])]
         table = ax.table(cellText=df.values,
@@ -2294,7 +2294,6 @@ def brent_export_pdf(num_indicators=475, num_models=21, num_dayindicator=202, in
         df_bdwd = get_bdwd_predict_data()
         # df转置
         df_bdwd = df_bdwd.T
-        df_bdwd = df_bdwd.T
         # df重置索引
         df_bdwd = df_bdwd.reset_index()
         # 添加预测值表格
@@ -2497,16 +2496,16 @@ def brent_export_pdf(num_indicators=475, num_models=21, num_dayindicator=202, in
         config.dataset, reportname), pagesize=letter)
     doc.build(content)
     # pdf 上传到数字化信息平台
-    try:
-        if config.is_update_report:
-            with open(os.path.join(config.dataset, reportname), 'rb') as f:
-                base64_data = base64.b64encode(f.read()).decode('utf-8')
-                config.upload_data["data"]["fileBase64"] = base64_data
-            config.upload_data["data"]["fileName"] = reportname
-            token = get_head_auth_report()
-            upload_report_data(token, config.upload_data)
-    except TimeoutError as e:
-        print(f"请求超时: {e}")
+    # try:
+    #     if config.is_update_report:
+    #         with open(os.path.join(config.dataset, reportname), 'rb') as f:
+    #             base64_data = base64.b64encode(f.read()).decode('utf-8')
+    #             config.upload_data["data"]["fileBase64"] = base64_data
+    #         config.upload_data["data"]["fileName"] = reportname
+    #         token = get_head_auth_report()
+    #         upload_report_data(token, config.upload_data)
+    # except TimeoutError as e:
+    #     print(f"请求超时: {e}")
 
 
 @exception_logger