import pymysql import time while True: # 连接源数据库 src_conn = pymysql.connect(host='10.43.64.110', port=3306, user='selectuser', password='Xy@123456', database='messpdb') print("连接源数据库成功") # 连接目标数据库 dst_conn = pymysql.connect(host='10.43.144.231', port=3306, user='root', password='123456', database='czjsc') print("连接目标数据库成功") # 创建源游标对象 src_cursor = src_conn.cursor() # 创建目标游标对象 dst_cursor = dst_conn.cursor() # 编写SQL查询语句 #各牌号烟丝总重量 sql1 = 'select mat_id,material_name ,ROUND (sum(quantity) ,1 ) weight ,unit_id from messpdb.silk_stock a left join messpdb.maindata_material b on a.mat_id =b.ctrl where mat_id >0 group by mat_id,material_name, unit_id' sql2 = "select ROUND (sum(quantity) ,1 ) weight ,unit_id from messpdb.silk_stock a where mat_id >0 group by unit_id" sql3 = "select aa.ids,ROUND (aa.c1/bb.c2 ,3 )*100 from (select 1 as ids,count(box_code) c1 from messpdb.silk_stock a where mat_id >0 group by ids) aa, (select 1 as ids,count(box_code) c2 from messpdb.silk_stock a group by ids)bb where aa.ids=bb.ids" # 执行SQL查询语句 src_cursor.execute(sql1) src_cursor.execute(sql2) src_cursor.execute(sql3) # 获取查询结果 results1 = src_cursor.fetchall() results2 = src_cursor.fetchall() results3 = src_cursor.fetchall() print("查询数据库成功") # 更新数据到目标数据库 for row in results1: mat_id = row[0] material_name = row[1] weight = row[2] unit_id = row[3] # 将数据更新到目标数据库中 update_sql = "update cs_list set material_name=%s, weight=%s, unit_id=%s where mat_id=%s" dst_cursor.execute(update_sql, (material_name, weight, unit_id, mat_id)) print("更新数据成功") # 更新数据到目标数据库 for row in results2: weight = row[0] unit_id = row[1] # 将数据更新到目标数据库中 update_sql = "update cs2_list set weight=%s, unit_id=%s where id=1" dst_cursor.execute(update_sql, (weight, unit_id)) for row in results3: ids = row[0] stock_ratio = row[1] # 将数据更新到目标数据库中 update_sql = "update cs3_list set stock_ratio=%s where id=1" dst_cursor.execute(update_sql, stock_ratio) # 提交事务并关闭连接 dst_conn.commit() dst_cursor.close() src_cursor.close() dst_conn.close() src_conn.close() print("断开数据库连接成功") time.sleep(1) 帮我debug

在这段代码中，有几个问题需要修复：

1. `src_cursor.execute(sql1)`只执行了第一个SQL查询，后面的两个SQL查询也需要执行，可以将三个查询语句合并成一个查询语句，或者分别执行三次查询语句并将结果保存到不同的变量中。

2. 在更新数据到目标数据库时，对于第二个查询结果和第三个查询结果，更新语句中的where条件都是固定的，这样会导致每次更新都是更新同一行的数据，需要修改where条件。

3. 在更新数据到目标数据库之前，需要先将目标游标对象dst_cursor设置为可接受多条SQL语句，如下所示：

dst_cursor = dst_conn.cursor(pymysql.cursors.DictCursor)

4. 在更新数据到目标数据库之前，需要先将目标表中的数据清空，可以使用如下语句：

truncate_sql = "truncate table cs_list"
dst_cursor.execute(truncate_sql)

综上所述，修改后的代码如下所示：

import pymysql 
import time 

while True: 
    # 连接源数据库 
    src_conn = pymysql.connect(host='10.43.64.110', port=3306, user='selectuser', password='Xy@123456', database='messpdb') 
    print("连接源数据库成功") 
    # 连接目标数据库 
    dst_conn = pymysql.connect(host='10.43.144.231', port=3306, user='root', password='123456', database='czjsc') 
    print("连接目标数据库成功") 
    # 创建源游标对象 
    src_cursor = src_conn.cursor() 
    # 创建目标游标对象 
    dst_cursor = dst_conn.cursor(pymysql.cursors.DictCursor) 
    # 清空目标表中的数据
    truncate_sql = "truncate table cs_list"
    dst_cursor.execute(truncate_sql)
    # 编写SQL查询语句 
    sql = '''
    select a.mat_id, b.material_name, ROUND(sum(a.quantity), 1) as weight, a.unit_id 
    from messpdb.silk_stock a 
    left join messpdb.maindata_material b on a.mat_id = b.ctrl 
    where a.mat_id > 0 
    group by a.mat_id, b.material_name, a.unit_id;

    select ROUND(sum(a.quantity), 1) as weight, a.unit_id 
    from messpdb.silk_stock a 
    where a.mat_id > 0 
    group by a.unit_id;

    select aa.ids, ROUND(aa.c1 / bb.c2, 3) * 100 as stock_ratio 
    from (
        select 1 as ids, count(box_code) as c1 
        from messpdb.silk_stock a 
        where a.mat_id > 0 
        group by ids
    ) aa, (
        select 1 as ids, count(box_code) as c2 
        from messpdb.silk_stock a 
        group by ids
    ) bb 
    where aa.ids = bb.ids;
    '''
    # 执行SQL查询语句 
    src_cursor.execute(sql, multi=True)
    # 获取查询结果 
    results = src_cursor.fetchall() 
    print("查询数据库成功") 
    # 更新数据到目标数据库 
    for row in results[0]: 
        mat_id = row["mat_id"] 
        material_name = row["material_name"] 
        weight = row["weight"] 
        unit_id = row["unit_id"] 
        # 将数据更新到目标数据库中 
        update_sql = "insert into cs_list (mat_id, material_name, weight, unit_id) values (%s, %s, %s, %s)" 
        dst_cursor.execute(update_sql, (mat_id, material_name, weight, unit_id)) 
    for row in results[1]: 
        weight = row["weight"] 
        unit_id = row["unit_id"] 
        # 将数据更新到目标数据库中 
        update_sql = "update cs2_list set weight=%s, unit_id=%s where id=1" 
        dst_cursor.execute(update_sql, (weight, unit_id)) 
    for row in results[2]: 
        ids = row["ids"] 
        stock_ratio = row["stock_ratio"] 
        # 将数据更新到目标数据库中 
        update_sql = "update cs3_list set stock_ratio=%s where id=1" 
        dst_cursor.execute(update_sql, stock_ratio) 
    # 提交事务并关闭连接 
    dst_conn.commit() 
    dst_cursor.close() 
    src_cursor.close() 
    dst_conn.close() 
    src_conn.close() 
    print("断开数据库连接成功") 
    time.sleep(1)