# Load necessary libraries
library(shiny)
library(jsonlite)
library(httr)
library(shinycssloaders) # For the spinner

# Assuming you have your custom functions in a file called 'your_functions.R'

# List all R files in the directory and source them


lapply(list.files(path = "R", pattern = "\\.R$", full.names = T), source)

source("data/secrets")

# Create a Bearer token header
headers.default <- add_headers(
  accept = "*/*",
  apikey = token4
)

# Load station data

# Define UI for application
ui <- fluidPage(
  tags$head(
    tags$style(HTML("
      #main {
        height: 100vh; /* Full height of the viewport */
        overflow-y: auto; /* Scroll if content overflows */
      }
      .container-fluid {
        height: 100vh; /* Full height of the viewport */
        display: flex;
        flex-direction: column;
      }
      .row {
        flex-grow: 1;
        display: flex;
      }
      .col-sm-8 {
        flex-grow: 1; /* Allow the main panel to grow */
      }
    "))
  ),
  
  # Application title
  titlePanel("Beaumont aka SECMONT"),
  
  # Sidebar for user inputs
  sidebarLayout(
    sidebarPanel(
      width=2,
      numericInput(inputId = "daysBefore", label = "Nb jour à  check:", value=10, min=1)
    ),
    
    # Main panel for displaying plot
    mainPanel(
     width = 6,
     withSpinner( plotOutput("dataPlot"))
    )
  )
)

# Define server logic required to generate and plot data
server <- function(input, output) {
  # Reactive expression to fetch data based on input and display spinner while loading
  
  
  # Render the plot
  output$dataPlot <- renderPlot({
    startdate <- format(Sys.Date() - input$daysBefore, "%Y-%m-%d")
    vignass.coor=c(44.8550665,5.8441789)
    allstations <- read.csv("data/allstations.csv")
    test1 <- getAllFromCoord(vignass.coor, start_date = startdate, end_date = format(Sys.Date(), "%Y-%m-%d"), allstations, headers = headers.default,btw_station_sleep = .5,within_statio_sleep = 1)
    
    # Prepare colors
    cols <- palette.colors()[1:length(unique(test1$Nom_usuel))]
    names(cols) <- unique(test1$Nom_usuel)
    
    # Filter data
    testsep <- test1
    testsep[testsep[,3] == 0 & !is.na(testsep[,3]), c(3,4)] <- NA
    
    plot(getDate(testsep[,2]), testsep[,3], pch = 20, col = adjustcolor(cols[testsep$Nom_usuel], .4), cex = 1.3, ylim = c(0, 8))
    
    # Add legend
    legend("topleft", col = cols, legend = names(cols), pch = 20, cex = 1)
    
    # Highlight specific date
    abline(v = as.numeric(as.POSIXlt("2024-08-07", format = "%Y-%m-%d")), lwd = 3, col = "red")
  })
}

# Run the application 
shinyApp(ui = ui, server = server)