#' Construct UI for the detailed results panel.
#' @noRd
results_ui <- function(id) {
    verticalLayout(
        div(
            style = "margin-top: 16px",
            splitLayout(
                cellWidths = "auto",
                uiOutput(NS(id, "copy")),
                downloadButton(NS(id, "download"), "Download CSV")
            )
        ),
        div(
            style = "margin-top: 16px",
            DT::DTOutput(NS(id, "genes"))
        )
    )
}

#' Server for the detailed results panel.
#'
#' @param filtered_results A reactive containing the prefiltered results to be
#'   displayed.
#'
#' @noRd
results_server <- function(id, filtered_results) {
    moduleServer(id, function(input, output, session) {
        output$copy <- renderUI({
            results <- filtered_results()

            gene_ids <- results[, gene]
            names <- results[name != "", name]

            genes_text <- paste(gene_ids, collapse = "\n")
            names_text <- paste(names, collapse = "\n")

            splitLayout(
                cellWidths = "auto",
                rclipboard::rclipButton(
                    "copy_ids_button",
                    "Copy gene IDs",
                    genes_text,
                    icon = icon("clipboard")
                ),
                rclipboard::rclipButton(
                    "copy_names_button",
                    "Copy gene names",
                    names_text,
                    icon = icon("clipboard")
                )
            )
        })

        columns <- c(
            "rank",
            "gene",
            "name",
            "chromosome",
            "distance",
            method_ids,
            "score",
            "percentile"
        )

        column_names <- c(
            "",
            "Gene",
            "",
            "Chromosome",
            "Distance",
            method_names,
            "Score",
            "Percentile"
        )

        output_data <- reactive({
            filtered_results()[, ..columns][,
                distance := paste0(
                    format(
                        round(distance / 1000000, digits = 2),
                        nsmall = 2,
                    ),
                    " Mbp"
                )
            ]
        })

        output$download <- downloadHandler(
            filename = "geposan_filtered_results.csv",
            content = function(file) {
                fwrite(output_data(), file = file)
            },
            contentType = "text/csv"
        )

        output$genes <- DT::renderDT({
            dt <- DT::datatable(
                output_data(),
                rownames = FALSE,
                colnames = column_names,
                options = list(
                    rowCallback = js_link,
                    columnDefs = list(list(visible = FALSE, targets = 2)),
                    pageLength = 25
                )
            )

            DT::formatPercentage(
                dt,
                c(method_ids, "score", "percentile"),
                digits = 2
            )
        })
    })
}