feat(dao): 优化抖店账号导入功能

- 新增更新功能：在导入抖店账号时，如果环境ID已存在，则进行更新操作
- 统计并记录插入和更新的记录数- 优化代码结构，提高可读性和可维护性

dao/db.py

 import pandas as pd
 from loguru import logger
 from config import settings
-
+import pymysql
 
 def get_mysql_connection():
     """获取 MySQL 数据库连接"""
@@ -51,11 +51,43 @@ def import_doudian_accounts_to_mysql(file_path):
                 password = VALUES(password),
                 company = VALUES(company)
             """
-
+            update_sql = """
+            UPDATE doudian_accounts
+            SET environment = %s,
+                account = %s,
+                password = %s,
+                company = %s
+            WHERE environment_id = %s
+            """
+            # 执行查询SQL
+            select_sql = """
+            SELECT environment, account, password, company 
+            FROM doudian_accounts 
+            WHERE environment_id = %s
+            """
             # 遍历DataFrame并执行插入/更新
+            insert_count = 0
+            update_count = 0
             for _, row in df.iterrows():
-                # 确保所有字段都有值，不能为NaN
                 if pd.notna(row['环境ID']):
+                    # 确保所有字段都有值，不能为NaN
+                    environment_id = int(row['环境ID'])
+                    cursor.execute(select_sql, (environment_id,))
+                    # 获取查询结果
+                    result = cursor.fetchone()
+                    if result:
+                        # 如果存在，则更新
+                        update_count += 1
+                        data = (
+                            str(row['环境']) if pd.notna(row['环境']) else '',
+                            str(row['账号']) if pd.notna(row['账号']) else '',
+                            str(row['密码']) if pd.notna(row['密码']) else '',
+                            str(row['公司']) if pd.notna(row['公司']) else '',
+                            environment_id
+                        )
+                        cursor.execute(update_sql, data)
+                    else:
+                        insert_count += 1
                         data = (
                             str(row['环境']) if pd.notna(row['环境']) else '',
                             int(row['环境ID']) if pd.notna(row['环境ID']) else 0,  # 假设环境ID不能为空
@@ -64,10 +96,11 @@ def import_doudian_accounts_to_mysql(file_path):
                             str(row['公司']) if pd.notna(row['公司']) else ''
                         )
                         cursor.execute(insert_sql, data)
+                    print(data)
 
             # 提交事务
             connection.commit()
-            logger.info(f"成功导入/更新 {len(df)} 条记录")
+            logger.info(f"成功导入{insert_count}/更新{update_count} 条记录")
 
     except Exception as e:
         # 发生错误时回滚
@@ -77,9 +110,6 @@ def import_doudian_accounts_to_mysql(file_path):
         connection.close()
 
 
-import pymysql
-
-
 def find_account_by_environment_id(environment_id):
     """
     根据环境ID查找账号密码信息
@@ -126,18 +156,18 @@ def find_account_by_environment_id(environment_id):
         connection.close()
 
 
-# 使用示例
-if __name__ == "__main__":
-    # 查找环境ID为1075702795的账号
-    account_info = find_account_by_environment_id(1075702795)
-
-    # 如果需要将结果用于其他处理
-    if account_info:
-        print("\n获取到的账号信息:")
-        print(account_info)
-
-
 # # 使用示例
 # if __name__ == "__main__":
-#     excel_file = "doudian_accounts.csv"  # 你的Excel文件路径
-#     import_doudian_accounts_to_mysql(excel_file)
\ No newline at end of file
+#     # 查找环境ID为1075702795的账号
+#     account_info = find_account_by_environment_id(1075702795)
+#
+#     # 如果需要将结果用于其他处理
+#     if account_info:
+#         print("\n获取到的账号信息:")
+#         print(account_info)
+
+
+# 使用示例
+if __name__ == "__main__":
+    excel_file = "./../doudian_accounts.csv"  # 你的Excel文件路径
+    import_doudian_accounts_to_mysql(excel_file)
\ No newline at end of file