Interactive hover effects of adjacent giraffe graphs not synced when using patchwork

I try to reorder drv and class in mpg data, and then plot the boxplots of hwy with those two character variables as fill argument in aes of the ggplot. I use giraffe for that. But when I put the graphs together the hover effect not works properly. I want the plots to be synced in a way that hovering mouse in one of them results in same color effect.

library(tidyverse)
library(ggiraph)
library(patchwork)

g1 <- mpg %>%
  mutate(drv = (fct_reorder(drv, hwy))) %>%
  ggplot(aes(x = hwy, y = drv, fill = drv, data_id = drv)) +
  geom_boxplot_interactive() +
  theme(legend.position = 'none')

g2 <- mpg %>%
  mutate(class = (fct_reorder(class , hwy))) %>%
  ggplot(aes(x = hwy, y = class , fill = drv, data_id = drv)) +
  geom_boxplot_interactive() +
  theme(legend.position = 'none')
  

girafe(
  ggobj = g1 + plot_spacer() + g2 + plot_layout(widths = c(0.45, 0.1, 0.45)),
  options = list(
    opts_hover(css = ''),
    opts_hover_inv(css = "opacity:0.1;"), 
    opts_sizing(rescale = FALSE)
  ),
  height_svg = 5,
  width_svg = 9
)

The issue is that you reordered drv for the first plot, i.e. it is a factor. Hence you get a different assignment of the fill colors and more importantly linking the two plots by drv will no longer work. The reason is that for a factor the numeric representation is stored in the data_id column, whereas the data_id for the second plot contain the original character values. As a consequence there are no matching data_ids.

To fix that you could use a helper drv column for the first plot to perform the reordering and which could be mapped on y while for the fill and the data_id you use the original drv column:

library(tidyverse)
library(ggiraph)
library(patchwork)

g1 <- mpg %>%
  mutate(drv1 = fct_reorder(drv, hwy)) %>%
  ggplot(aes(x = hwy, y = drv1, fill = drv, data_id = drv)) +
  geom_boxplot_interactive()

g2 <- mpg %>%
  mutate(class = fct_reorder(class, hwy)) %>%
  ggplot(aes(x = hwy, y = class, fill = drv, data_id = drv)) +
  geom_boxplot_interactive()

p <- g1 + plot_spacer() + g2 +
  plot_layout(widths = c(0.45, 0.1, 0.45)) &
  theme(legend.position = "none")

girafe(
  ggobj = p,
  options = list(
    opts_hover(css = ""),
    opts_hover_inv(css = "opacity:0.1;"),
    opts_sizing(rescale = FALSE)
  ),
  height_svg = 5,
  width_svg = 9
)