修复因无新增客户导致NGV数据新增异常

back_ground_module/data_monitor.py

@@ -10,6 +10,8 @@ from decimal import Decimal
 import time
 import numpy as np
 import json
+import os
+os.chdir(Path(__file__).parent)
 
 
 def replace_decimals(obj):

back_ground_module/update_NGV_data.py

@@ -54,8 +54,8 @@ class UpdateNGVData:
             timestamp = time.time()
 
 
-            # data_NGV_j.to_csv(os.path.join(output_dir, f"{timestamp}up_NGV_j.csv"))
-            # data_NGV_j1.to_csv(os.path.join(output_dir, f"{timestamp}up_NGV_j1.csv"))
+            data_NGV_j.to_csv(os.path.join(output_dir, f"up_NGV_j.csv"))
+            data_NGV_j1.to_csv(os.path.join(output_dir, f"up_NGV_j1.csv"))
 
             # 找出在 data_NGV_j 中存在但在 data_NGV_j1 中不存在的 data_id
             unique_data_ids = data_NGV_j[~data_NGV_j['org_code'].isin(data_NGV_j1['org_code'])]
@@ -111,9 +111,11 @@ class UpdateNGVData:
             logger.info(f"人员转换完成")
 
             # 数字保留3位小数
-            filtered_df['g_month_percentage'] = (pd.to_numeric(data_NGV_j['g_month_percentage'], errors='coerce')
-                                                .round(3)
-                                                .apply(lambda x: f"{x:.3f}" if pd.notna(x) else ''))
+            filtered_df['g_month_percentage'] = (
+                pd.to_numeric(filtered_df['g_month_percentage'], errors='coerce')
+                .round(3)
+                .apply(lambda x: f"{x:.3f}" if pd.notna(x) else '')
+            )
 
             # filtered_df.to_csv(r"D:\Idea Project\SaaS_V1.3\back_ground_module\output\NGV.csv")
 
@@ -138,17 +140,18 @@ class UpdateNGVData:
             # print(result_str[:500])
 
             # 保存到Excel文件
-            # output_path = r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细1.xlsx'
+            # output_path = r'D:\Idea Project\SaaS_V1.7\back_ground_module\output\ngv明细1.xlsx'
             # filtered_df.to_excel(output_path, index=False)
-            # data_NGV_j1.to_excel( r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细j1.xlsx', index=False)
-            # data_NGV_j.to_excel( r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细j.xlsx', index=False)
-            # new_df.to_excel(r'D:\Idea Project\F6+宜搭+其它(1)\new\文件输出\ngv明细ndf.xlsx', index=False)
+            # data_NGV_j1.to_excel( r'D:\Idea Project\SaaS_V1.7\back_ground_module\output\ngv明细j1.xlsx', index=False)
+            # data_NGV_j.to_excel( r'D:\Idea Project\SaaS_V1.7\back_ground_module\output\ngv明细j.xlsx', index=False)
+            # new_df.to_excel(r'D:\Idea Project\SaaS_V1.7\back_ground_module\output\ngv明细ndf.xlsx', index=False)
 
             common_module.send_task_status(task_start_time, "NGV新增数据")
             logger.info(f"任务完成。")
         except Exception as e:
             error_task_logger.error(f"任务执行时发生异常: {e}")
             common_module.send_task_error(task_start_time, "NGV新增数据", str(e))
+            # pass
 
     @staticmethod
     def row_to_dict(row, field_mapping):

back_ground_module/update_molecule_reporting_adjustment_to_bi.py

@@ -88,10 +88,6 @@ class MoleculeReportingAdjustment:
                         if id_in_map == field_id:
                             transformed_data[display_name] = value
                             break
-
-
-
-
                 # BI上已经实现
                 # if transformed_data.get("是否上传衡石") == "否" or transformed_data.get("是否上传衡石") is None:
                 #     continue