达梦数据库
===================
主机名LOCALHOST

账号名
SYSDBA

登录密码
123456789

数据库名DAMENG

实例名DMSERVER


端口5236


=====================
Pycharm默认没有连接达梦的驱动，首先选择给Pycharm添加一个达梦的驱动。

找到自己电脑上达梦的JDBC驱动，因为我电脑上安装了达梦数据库，所有的驱动文件都在他的安装目录里。

通过驱动方式选择创建数据库连接。
SYSDBA
123456789
jdbc:dm://127.0.0.1:5236?schema=PRODUCTION


//====python 配置文件===================================
import dmPython
conn = dmPython.connect(user='SYSDBA', password='123456789',
                        server='localhost', port=5236)

//======python 调用页面=================================
#!/usr/bin/python
# coding:utf-8
import dmPython
from apps.damengDB import conn
import json


try:




    cursor = conn.cursor()
    print('python: conn success!')
    try:
        # 清空表，初始化测试环境
        cursor.execute('delete from PRODUCTION.PRODUCT_CATEGORY')
        print('python: delete success!')
    except (dmPython.Error, Exception) as err:
        print(err)


    try:
        # 插入数据
        cursor.execute("insert into PRODUCTION.PRODUCT_CATEGORY(NAME) values('88888'), ('66666')")
        print('python: insert success!')
        # 删除数据
        # cursor.execute("delete from PRODUCTION.PRODUCT_CATEGORY where name='Go'")
        # print('python: delete success!')
        #
        # # 更新数据
        # cursor.execute('update PRODUCTION.PRODUCT_CATEGORY set name = \'C++\' where name=\'C\'')
        # print('python: update success!')
        #
        # # 查询数据
        # cursor.execute("select name from PRODUCTION.PRODUCT_CATEGORY")
        cursor.execute("call mytest_proc(parm_OPType=>101);")
        rows = cursor.fetchall()


        # 列名
        columns = [column[0] for column in cursor.description]


        # 将获取的数据转换为字典列表
        results = []
        for row in rows:
            result = dict(zip(columns, row))
            results.append(result)


        print("字典")
        print(results)
        for tmp in results:
            print(tmp["NAME"])


        # 将字典列表转换为JSON格式的字符串
        json_data = json.dumps(results)


        # 输出JSON数据
        print("输出JSON数据")
        print(json_data)


        # for tmp in json_data:
        #     print(tmp)
        # =======================================
        # # 将结果转换为列表的字典
        # results = []
        # for row in rows:
        #     results.append(dict(zip(cursor.description, row)))
        #
        # # 将列表转换为JSON字符串
        # json_data = json.dumps(results)
        #
        # # 输出JSON字符串
        # print(json_data)
        # == == == == == == == == == == == == == == == == == == == =


        # for tmp in res:
        #     print(tmp)
        #     print('-----------')
        #     print(tmp[0])
        #     print(tmp[1])
        #     # for c1 in tmp:
        #     #     print(c1)


        print('python: select success!')
    except (dmPython.Error, Exception) as err:
        print(err)




    conn.close()
except (dmPython.Error, Exception) as err:
    print(err)
//=================================


pip install Flask Flask-SQLAlchemy pymssql