如何让 表单 中 树 的数据 是动态 配置的
如何‘表单’ 中‘树’组件的数据 通过 字典配置得到或者
select 组件 中 能实现下 下拉树的功能也可以
请1，2楼 图 您好：个人不建议使用脚本方式。这个对象的格式有点复杂。
是一个数据对象，格式参考
http://bbs.o2oa.net/data:image/png;base64,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 或者 直接在 select 组件中实现 如下图
当然 数据来源 也是配置的 如 来自 数据字典 http://o2oa.net:20020/x_file_assemble_control/jaxrs/file/260660dc-8f70-4abb-905e-9e94768e21a8/download/stream
http://o2oa.net:20020/x_file_assemble_control/jaxrs/file/09e802d0-8f93-475e-a5dc-97ce701c6cbe/download/stream 第一种可以 把 数据字典 中 树 结构的 数据 脚本 展现到这吗？
http://o2oa.net:20020/x_file_assemble_control/jaxrs/file/2391f774-4ef3-4117-8bc4-5136543bd662/download/stream
http://o2oa.net:20020/x_file_assemble_control/jaxrs/file/4dc635f6-3797-4192-86a6-9164eba16551/download/stream 看着有点复杂，我放弃这种用法了，谢谢给出的意见！
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