Highlight of trace adds duplicate legend item.

Inizia in inst/htmlwidgets/plotly.js, nella logica di selezione di crosstalk intorno alle righe 733 e 815. Riproduci la voce duplicata “Alpha” nella legenda, quindi traccia il modo in cui le traces selezionate e non selezionate vengono aggiunte o rese più scure, incluso il caso di selezione parziale descritto nell’issue. Il lavoro è completo quando l’evidenziazione non crea voci duplicate nella legenda e preserva la legenda originale quando la selezione copre solo una parte di una trace.

The current implementation for a selection highlighting adds duplicate legend entries.

For example in the below screenshot I clicked on trace "Alpha" and a new legend item "Alpha" got added while the existing "Alpha" legend is now dimmed but is still present. Resulting in 2 "Alpha" entries.

The core problem is that the current javascript code handling crosstalk selection, simply adds a duplicate selection traces here and dims all other traces here.
Since the original 'Alpha' trace was not removed and only dimmed and since a new trace also named "Alpha" was added to the legend. It results in the above legend.

Would it be possible to update the javascript logic to just dim the non-selected traces and update the selected trace to the desired highlight color (and other aspects set by the user). This would the have the desired effect on the legend.
Or to set the selected trace with showLegend=FALSE in the restyle for all the traces that got highlighted?

Edit it is not so easy as first thought:

I guess where my above described solution fails is when the selection is only a subset the trace data and only partially covers it. In that case the original legend entry would still need to be visible.
However, in theory it is possible to detect at creation time of the plot if the crosstalk key selection is equal to the legend entries. Eg. if the crosstalk key and the aesthetic property for the legend are equal.
That said this detection would then fail if one constructs a plotly object by manually adding traces. Or if the plotly graph has other traces added from a different dataset.

So to achieve what we want, we somehow need to determine if selection data fully covers the trace data. Not sure how we could smartly do it without having and extreme impact on the performance.