泰国新增2字段

back_ground_module/update_BI_CRM_info.py

@@ -111,6 +111,8 @@ class CRMDataProcessor:
             '_widget_1709110881016': '银行账户',
             "_widget_1749204198412": "原系统情况描述",
             "_widget_1749632087678": "付款金额_泰铢",
+            "_widget_1756951762528": "Contract end date",
+            "_widget_1756951762527": "Contract start date",
             'creator': '提交人',
             'createTime': '提交时间',
             'updateTime': '更新时间'
@@ -146,7 +148,9 @@ class CRMDataProcessor:
             '_widget_1747123933310',  # 客户签约日期
             '_widget_1747123933311',  # 客户付款日期
             '_widget_0201002000007',  # 领取时间
-            '_widget_0201002000008'  # 最后跟进时间
+            '_widget_0201002000008',  # 最后跟进时间
+            '_widget_1756951762528',  # Contract end date
+            '_widget_1756951762527',  # Contract start date
         ]
 
     def connect_db(self):
@@ -302,8 +306,6 @@ class CRMDataProcessor:
 
             # 处理空值 - 将NaN/NaT/空字符串统一转为None
             df = df.map(lambda x: None if pd.isna(x) or str(x).strip() == '' else x)
-
-            # # 确保所有空值（包括NaN、None、空字符串）转为None
             df = df.replace([np.nan, None, r'^\s*$'], None, regex=True)
 
             # 检查表结构是否匹配
@@ -313,8 +315,8 @@ class CRMDataProcessor:
             # 只保留表中存在的列
             df = df[[col for col in df.columns if col in table_columns]]
 
-            # 生成插入语句
-            columns = ', '.join(df.columns)
+            # 修改这里：为所有列名添加反引号
+            columns = ', '.join([f'`{col}`' for col in df.columns])  # 添加反引号
             placeholders = ', '.join(['%s'] * len(df.columns))
             insert_query = f"INSERT INTO {table_name} ({columns}) VALUES ({placeholders})"