aaa10qq10 发表于 2020-6-18 12:26:32

字段校验决策使用问题

版本5.0.3,请问字段校验中决策如何使用
如在某一个环节流转提交的时候,判断其值不能为空呢

http://www.o2oa.net:20020/x_file_assemble_control/jaxrs/file/3c825309-3350-48b1-9b4c-060eb789f79f/download/stream

论坛管理员 发表于 2020-6-19 11:13:22

您有两个方式
1:不同的环节使用不同的表单。
2.自己写代码校验脚本

论坛管理员 发表于 2020-6-22 10:23:08

决策您可以认为是获得的路由。比如下图送确定
http://bbs.o2oa.net/data:image/png;base64,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

aaa10qq10 发表于 2020-6-22 09:22:01

请问决策是什么意思 ,如何使用呢
页: [1]
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