pymssql calling SQL Server stored procedure with output parameters

pymssql calling SQL Server stored procedure with output parameters

Directly on the code

defapi_adddept (): 

def api_adddept():
    data = json.loads(request.get_data())
    userdata={}
    
    with UseDataBaseSQLServer() as cursor:

        msg=cursor.callproc(‘[AppData].[dbo].[Fyit_AddDept]‘, (data["parentdept_add"],data["deptname_add"],1,pymssql.output(str),pymssql.output(str)))
        userdata[‘result_code‘]=msg[3]
        userdata[‘result_msg‘]=msg[4]
        
        # sql=‘DECLARE @return_value int,@result_code nvarchar(1024),@result_msg nvarchar(1024);‘\
        #     ‘EXEC @return_value = [AppData].[dbo].[Fyit_AddDept] @parentid = {0},@dept = N\‘{1}\‘,@display = 1,@result_code = @result_code OUTPUT,@result_msg = @result_msg OUTPUT;‘\
        #     ‘SELECT    @result_code as N\‘@result_code\‘,@result_msg as N\‘@result_msg\‘,@return_value as N\‘Return Value\‘;‘

        # cursor.execute(sql.format(data["parentdept_add"],data["deptname_add"]))  
        # result = cursor.fetchone()  

        # while result:
        #     userdata[‘resultcode‘]=str(result[0])
        #     userdata[‘resultmsg‘]=result[0]
        #     userdata[‘returnvalue‘]=str(result[2])
        #     break

    resp = jsonify(userdata)
    resp.status_code = 200
    return resp

Both of them are feasible.

The first kind is simple and convenient. The second is to spell the SQL yourself.

Pymssql calls SQL Server stored procedure with output parameters