ljylyy88 发表于 2017-4-6 14:44:34

想要每次执行输入文本都不一样怎么弄?还有下拉框是平铺的怎么选择?

1)想每次执行的时候,数值都不一样,自动变一次,例如可以是DDBH20170406001,加时间或是什么都行?如果设置,求指教?
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

2)还有这种应该如何录制?我现在都是直接输入的
data:image/png;base64,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

cq520131517 发表于 2017-4-6 15:23:44

针对问题一:利用数据库,写一个存储过程,在测试脚本中加入sql语句,引用数据库,就可以解决这个问题

TestWriter 发表于 2017-4-6 15:24:16

友情提醒:
烦请用户提供如下信息:问题截图、相应的被测应用(apk)、出错日志(Agent、客户端)等。以方便技术支持定位问题!

ljylyy88 发表于 2017-4-6 16:44:48

第二个问题的截图如下

ljylyy88 发表于 2017-4-6 16:46:43

cq520131517 发表于 2017-4-6 15:23
针对问题一:利用数据库,写一个存储过程,在测试脚本中加入sql语句,引用数据库,就可以解决这个问题

不好意思,还得麻烦问一下,我用的是TW免费版,在哪个地方引入数据库?测试脚本怎么添加sql语句?能不能说的详细点,这个工具用了没几天,还不是很熟悉。

puchonghui 发表于 2017-4-6 19:18:42

每次取当前时间的timestamp,转换成yyyymmddhhmmss拼在订单号后面

yufuchen 发表于 2017-4-7 09:16:06

您好,先来回答第一个问题,TW的测试用例支持参数化执行,您可以将输入内容的这个步骤的数据类型改成参数化变量,然后在对应的执行计划中,进行数据维护。在步骤对应的参数化变量列中,填入你要输入的数据。这样计划执行时会读取数据维护中的数据,逐个执行。
第二个问题,TW支持标准的下拉框选择,您说的这种平铺的下拉框,到底是不是标准的控件,因为没有样本,所以不能确定TW免费版是否支持。

ljylyy88 发表于 2017-4-12 13:31:11

yufuchen 发表于 2017-4-7 09:16
您好,先来回答第一个问题,TW的测试用例支持参数化执行,您可以将输入内容的这个步骤的数据类型改成参数化 ...
参数化后我执行一条用例他就会把数据维护中所有数据都执行一遍,但是我想让他每天晚上执行 的时候,只选择一条数据执行?然后下次执行的时候在选择另外一条数据执行,应该怎么弄下?

yufuchen 发表于 2017-4-12 17:05:09

ljylyy88 发表于 2017-4-12 13:31
参数化后我执行一条用例他就会把数据维护中所有数据都执行一遍,但是我想让他每天晚上执行 的时候,只选 ...

你好,对于一个执行计划中的批量数据,TW目前是不能实现你说的这种功能的。不过由于你的计划是每晚只执行一遍,那你可以每天都配置一次计划中的数据,或者可以多做几个执行计划,每个计划对应一个日期且有单独的测试数据,定时执行。应该能满足你的工作需求。

ljylyy88 发表于 2017-4-13 14:13:03

yufuchen 发表于 2017-4-12 17:05
你好,对于一个执行计划中的批量数据,TW目前是不能实现你说的这种功能的。不过由于你的计划是每晚只执行 ...

好的 ,明白了,多谢,还有一个问题,想请教下,我在录制一个脚本的时候,一个页面id不是固定的,每次都有变化,可以录制么?
例如这次录制ID 是w_123456 下次新增订单 这个id 可以就变成w_2121

TestWriter 发表于 2017-4-17 09:13:33

ljylyy88 发表于 2017-4-13 14:13
好的 ,明白了,多谢,还有一个问题,想请教下,我在录制一个脚本的时候,一个页面id不是固定的,每次都 ...

建议不同问题,另开帖提问哦。
页: [1]
查看完整版本: 想要每次执行输入文本都不一样怎么弄?还有下拉框是平铺的怎么选择?