N16678973605011 发表于 2022-11-13 21:59:01

流程结果赋值执行业务公式

在流程审批业务公式设计过程中,应该是审核通过执行业务公式,审核不通过不执行,在设定执行条件时   流程变量.审批结果=常量.是,但系统既没有错误提示,而且审核通过时也没有执行,请教高手帮忙data:image/png;base64,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

李根 发表于 2022-11-16 09:03:03

流程变量.审批结果="通过"
流程变量.审批结果=”不通过“
页: [1]
查看完整版本: 流程结果赋值执行业务公式