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).

Start with the geom_boxplot documentation example linked in the issue and trace how ggplotly handles a ggplot object using stat="identity". Compare that path with plot_ly() boxplot support. Done means custom min, max, lower, upper, and middle values render as a non-empty interactive boxplot through one of the requested approaches.