ggplotly returns group_by_ error for ggplot with undefined dataframe

The following ggplot2 command fails when executed in ggplotly:

ggplot()+geom_line(aes(x = c(1,2,3,4), y = c(1,2,3,4), group = c(1,1,2,2))) #works

ggplotly(ggplot()+geom_line(aes(x = c(1,2,3,4), y = c(1,2,3,4), group = c(1,1,2,2)))) #fails

#>Error in UseMethod("group_by_") : 
#> no applicable method for 'group_by_' applied to an object of class "waiver"

This error can be addressed by assigning the data to a data frame and explicitly mapping the variables to the data frame within the ggplot call:

 df <- data.frame(x = c(1,2,3,4), y = c(1,2,3,4), group = c(1,1,2,2))

ggplotly(ggplot()+geom_line(data = df, aes(x = x, y = y, group = group))) #works 

ggplotly(ggplot()+geom_line(aes(x = df$x, y = df$y, group = df$group))) #fails

#>Error in UseMethod("group_by_") : 
#> no applicable method for 'group_by_' applied to an object of class "waiver"

Start by running the two ggplotly examples from the issue and compare the successful and failing cases. Trace the ggplotly handling of the inline aes mappings and the group value represented by waiver. Done means both examples render without the group_by_ error while preserving the grouped line behavior.