diff --git a/config_jingbo_yuedu.py b/config_jingbo_yuedu.py
index d1afac7..7b482bc 100644
--- a/config_jingbo_yuedu.py
+++ b/config_jingbo_yuedu.py
@@ -208,6 +208,7 @@ is_update_warning_data = False  # 是否上传预警数据
 is_update_predict_value = True  # 是否上传预测值到市场信息平台
 is_del_corr = 0.6  # 是否删除相关性高的特征,取值为 0-1 ，0 为不删除，0.6 表示删除相关性小于0.6的特征
 is_del_tow_month = True  # 是否删除两个月不更新的特征
+is_bdwd = True  # 是否使用八大维度
 
 
 # 连接到数据库
diff --git a/models/nerulforcastmodels.py b/models/nerulforcastmodels.py
index bce724c..870b8b3 100644
--- a/models/nerulforcastmodels.py
+++ b/models/nerulforcastmodels.py
@@ -2281,6 +2281,14 @@ def brent_export_pdf(num_indicators=475, num_models=21, num_dayindicator=202, in
     data = df.values.tolist()
     col_width = 500/len(df.columns)
     content.append(Graphs.draw_table(col_width, *data))
+
+    if config.is_bdwd:
+        # 添加八大维度数据
+        content.append(Graphs.draw_text('八大维度预测：'))
+        bdwd_df = pd.read_csv(os.path.join(
+            config.dataset, '八大维度数据.csv'), encoding='utf-8')
+        # 
+        pass
     content.append(Graphs.draw_little_title('二、上一预测周期偏差率分析：'))
     df = pd.read_csv(os.path.join(
         config.dataset, 'testandpredict_groupby.csv'), encoding='utf-8')