#' usage_trend_plot UI Function
#'
#' @description A shiny Module.
#'
#' @param id,input,output,session Internal parameters for {shiny}.
#'
#' @noRd
#'
#' @importFrom shiny NS tagList
mod_usage_trend_plot_ui <- function(id){
ns <- NS(id)
tagList(
shinycssloaders::withSpinner(dygraphs::dygraphOutput(ns("usage_trend_plot")))
)
}
#' usage_trend_plot Server Function
#'
#' @noRd
mod_usage_trend_plot_server <- function(id, tidy_energy, plot1vars){
moduleServer( id, function(input, output, session){
ns <- session$ns
output$usage_trend_plot <- dygraphs::renderDygraph({
X <- tibble::tribble(
~seq_id, ~code,
1, "SP",
2, "YE",
3, "TE",
4, "GS",
5, ""
)
q <- tidy_energy %>%
dplyr::filter(
var == plot1vars$var(),
seq_id %in% c(plot1vars$tariff(), if(plot1vars$history()) c(5) else c()),
fuel %in% plot1vars$fuel()
) %>%
dplyr::select(seq_id, fuel, date, value) %>%
dplyr::left_join(X, by = "seq_id") %>%
dplyr::mutate(
fuel_code = substr(fuel, 1, 1),
id_fuel = paste0(code, "_", fuel_code)
) %>%
dplyr::select(id_fuel, date, value) %>%
tidyr::pivot_wider(names_from = id_fuel, values_from = value)
if(nrow(q) == 0) return()
q <- tibble::as_tibble(q)
xq <- xts::xts(q[,-1], order.by = q$date)
if(plot1vars$var() == "cost") {
y_axis_label <- "GBP"
} else {
y_axis_label <- "kWh"
}
p <- dygraphs::dygraph(xq, group = "usage") %>%
dygraphs::dyRoller(rollPeriod = 7) %>%
dygraphs::dyRangeSelector(dateWindow = c("2021-01-01", as.character(Sys.Date()))) %>%
dygraphs::dyLegend(show = "follow") %>%
dygraphs::dyAxis("y", label = y_axis_label) %>%
dygraphs::dyHighlight(highlightSeriesBackgroundAlpha = 0.2)
if("_g" %in% colnames(q)) {
p <- p %>%
dygraphs::dySeries("_g", color = "#BDBDBD", strokePattern = "dashed")
}
if("_e" %in% colnames(q)) {
p <- p %>%
dygraphs::dySeries("_e", color = "#636363", strokePattern = "dashed")
}
p
})
})
}
## To be copied in the UI
# mod_usage_trend_plot_ui("usage_trend_plot_ui_1")
## To be copied in the server
# callModule(mod_usage_trend_plot_server, "usage_trend_plot_ui_1")
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