聚烯烃图片月度报告预测日期调整为月初

config_juxiting_yuedu.py

@@ -313,7 +313,6 @@ push_png_report_data = {
 }
 
 
-
 # 八大维度数据项编码
 bdwd_items = {
     'ciri': '251889263|FORECAST|PRICE|T01',
@@ -442,7 +441,6 @@ table_name = 'v_tbl_crude_oil_warning'
 # }
 
 
-
 # # 八大维度数据项编码
 # bdwd_items = {
 #     'ciri': 'jxtppbdwdcr',
@@ -460,12 +458,12 @@ table_name = 'v_tbl_crude_oil_warning'
 #                  'jxtppbdwdcsany': '次三月', 'jxtppbdwdcy': '次月', 'jxtppbdwdcz': '次周', 'jxtppbdwdgz': '隔周', }
 
 # 北京环境数据库
-# host = '192.168.101.27'
-# port = 3306
-# dbusername = 'root'
-# password = '123456'
-# dbname = 'jingbo_test'
-# table_name = 'v_tbl_crude_oil_warning'
+host = '192.168.101.27'
+port = 3306
+dbusername = 'root'
+password = '123456'
+dbname = 'jingbo_test'
+table_name = 'v_tbl_crude_oil_warning'
 
 DEFAULT_CONFIG = {
     'feature_factor_frequency': 'D',

juxiting_push_png_report.py

@@ -116,9 +116,10 @@ if __name__ == '__main__':
     # 图片报告
     try:
         logger.info('图片报告ing')
+        global_config['end_time'] = '2025-08-14'
         pp_bdwd_png(global_config=global_config)
         logger.info('图片报告end')
     except Exception as e:
         logger.info(f'图片报告失败：{e}')
-    time.sleep(5)
-    push_png_report()
+    # time.sleep(5)
+    # push_png_report()

lib/tools.py

@@ -1114,6 +1114,14 @@ def plot_pp_predict_result(y_hat, global_config, wd='yuedu'):
     if wd == 'yuedu':
         y = pd.read_csv(os.path.join(
             global_config['dataset'], '指标数据.csv'))[['ds', 'y']][-12:]
+        # 修改ds列的日为1日
+        print(y_hat)
+        y_hat['ds'] = pd.to_datetime(y_hat['ds'])
+        y_hat['ds'] = y_hat['ds'].dt.strftime('%Y-%m-01')
+        # ds 转换为日期类型
+        y_hat['ds'] = pd.to_datetime(y_hat['ds'])
+        print(y_hat)
+
         xgx_df = pd.read_csv(os.path.join(
             global_config['dataset'], '相关系数.csv'))
         title = 'PP期货月维度预测价格走势'