#' Arduino Plotter
#'
#' @param names Labels for variables
#' @param sep_fun A function that separates the inline string into different
#' variables. By default, it is `ar_sep_comma`, which splits the string by
#' comma. You can easily write your own function, which can even do additional
#' calculation.
#' @param reduce_freq T/F. It might be the case that plotly streaming API can't
#' process frequency > 25 Hz (40ms delay time) or it might be the case that
#' my computer doesn't have enough power. Anyway, I set this option here to
#' add 40ms delay time to reduce the sampling frequency.
#' @param running_mean If an integer larger than 0 is chosen, the running mean
#' of each series is computed, effectively smoothing the signals. Default value
#' is set to 0 (no running mean is calculated)
#' @inheritParams ar_monitor
#'
#' @export
ar_plotter <- function(fd, names = NULL, sep_fun = ar_sep_comma,
reduce_freq = TRUE, flush_time = 0.05,
eolchar = "\n", buf_max = 256, timeout = 5000,
running_mean = 0) {
shiny::runApp(
ar_app(con = fd, names = names, sep_fun = sep_fun,
flush_time = flush_time, reduce_freq = reduce_freq,
eolchar = eolchar, buf_max = buf_max, timeout = timeout,
running_mean = running_mean),
launch.browser = rstudioapi::viewer
)
}
# con <- ar_init("/dev/cu.SLAB_USBtoUART", baud = 57600)
ar_app <- function(con, names = NULL, sep_fun = ar_sep_comma,
flush_time = 0.05, reduce_freq = TRUE,
eolchar = "\n", buf_max = 256, timeout = 5000,
running_mean = 0) {
message("Flushing Port...")
ar_flush_hard(con, flush_time)
first_dot <- ar_read(con, eolchar, buf_max, timeout)
if (first_dot == "") {
stop("Your connection is probably dead. Please use ar_init and start",
" a new connection")
}
first_dot <- sep_fun(first_dot)
signal_vars <- seq(length(first_dot))
if (running_mean > 0) {
rmeans <- vector("list", length(first_dot))
for (i in signal_vars) {
rmeans[[i]] <- arduinor:::RunningMean$new(running_mean)
rmeans[[i]]$insert(first_dot[i])
}
}
if (is.null(names)) {
names(signal_vars) <- paste("Var", signal_vars)
names(first_dot) <- paste("Var", signal_vars)
} else {
if (length(names) != length(first_dot)) {
stop(
"The amount of names provided is different from the amount of values."
)
}
names(signal_vars) <- names
names(first_dot) <- names
}
save_file_default <- glue("arduino_{format(Sys.time(), '%Y%m%d_%H%M%S')}.csv")
ui <- fluidPage(
br(),
actionButton("power", label = NULL, icon = icon("power-off", "text-danger"),
width = NULL,
style = "border-radius: 25px; position: absolute; top: 15px; right: 15px;z-index: 20;"),
inline_widget(actionButton("start", icon = icon("play"),
label = NULL, width = "100%"), "50px"),
inline_widget(actionButton("reset", icon = icon("undo"),
label = NULL, width = "100%"), "50px"),
inline_widget(h5("Vars:"), "35px"),
inline_widget(selectInput(
"y_var", label = NULL, choices = signal_vars,
selected = signal_vars, multiple = T
), "calc(95% - 180px);z-index: 15;"),
plotlyOutput("plot", height = "250px"),
inline_widget(checkboxInput("save", strong("Save to file?")), "30%"),
inline_widget(textInput("file", NULL, save_file_default), "65%")
)
server <- function(input, output, session) {
rv <- reactiveValues()
rv$state <- 0
# first_xy <- separateXY(first_dot)
output$plot <- renderPlotly({
req(input$y_var)
input$reset
p <- plot_ly(type = 'scatter', mode = 'lines', line = list(width = 3))
for (y_i in sort(as.integer(input$y_var))) {
p <- add_trace(p, y = first_dot[y_i], name = names(first_dot[y_i]))
}
return(p)
})
observeEvent(input$start, {
rv$state <- 1 - rv$state
start_icon <- icon(c("play", "pause")[rv$state + 1])
updateActionButton(session, "start", icon = start_icon)
ar_flush_hard(con, flush_time)
})
observeEvent(input$reset, {
rv$state <- 0
updateActionButton(session, "start", icon = icon("play"))
ar_flush_hard(con, flush_time)
})
observeEvent(input$save, {
if (!file.exists(input$file)) {
file.create(input$file)
cat(csv_newline(names(first_dot)), file = input$file)
}
}, ignoreInit = TRUE)
observe({
invalidateLater(1)
if (rv$state) {
ar_flush_hard(con, 0.04, FALSE)
realtime <- sep_fun(ar_read(con, eolchar, buf_max, timeout))
if (running_mean > 0) {
for (i in seq(length(realtime))) {
rmeans[[i]]$insert(realtime[[i]])
realtime[[i]] <- rmeans[[i]]$get_mean()
}
}
if (input$save) {
cat(csv_newline(realtime), file = input$file, append = TRUE)
}
realtime_y <- lapply(realtime[sort(as.integer(input$y_var))], list)
realtime_list <- list(y = realtime_y)
to_traces <- as.list(seq(length(input$y_var)))
plotlyProxy("plot", session) %>%
plotlyProxyInvoke("extendTraces", realtime_list, to_traces)
}
})
observeEvent(input$power, {
invisible(stopApp())
})
}
shinyApp(ui, server)
}
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