Add support for geom_boxplot(stat="identity") in ggplotly or similar for plot_ly boxplot

I'm using ggplot2 to create boxplots which I'd then like to make interactive by converting to a plotly object. What I need to be able to do however is use my own computed values for the min, max, lower, upper, and middle values of the boxplot. This is possible in ggplot by using stat="identity" in geom_boxplot() and setting the values within aes(). When I then pass the ggplot object to ggplotly however nothing renders, I just get an empty axis. I think this is because plotly tries to internally calculate the quartiles etc when converting the box plot (which it then can't do because I've not given it appropriate data).

Would it therefore be possible to add support for setting the boxplot values either through the ggplotly conversion or directly using a plot_ly() boxplot?

Thanks

p.s. a simple example of what I'd like to convert can be found at the end of the geom_boxplot documentation (http://docs.ggplot2.org/current/geom_boxplot.html).

从 issue 中链接的 geom_boxplot 文档示例开始，跟踪 ggplotly 如何处理使用 stat="identity" 的 ggplot 对象。将该路径与 plot_ly() 对 boxplot 的支持进行比较。当 min、max、lower、upper 和 middle 的自定义值能够通过所请求的方法之一渲染为非空的交互式 boxplot 时，即视为完成。