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| library(shiny) | |
| library(shinycssloaders) | |
| library(shinythemes) | |
| library(shinyWidgets) | |
| library(shinyalert) | |
| library(spsComps) | |
| library(bslib) | |
| library(dplyr) | |
| library(reactable) | |
| library(reactablefmtr) | |
| my_theme <- bs_theme( | |
| bg = "#fdfefe", | |
| fg = "black", | |
| primary = "red", | |
| base_font = font_google("Geologica"), | |
| "font-size-base" = "1.2rem", | |
| version = 5, | |
| "navbar-bg" = "#9f0be4" | |
| ) | |
| options( | |
| shiny.browser = T, | |
| spinner.color = "#9f0be4", | |
| spinner.color.background = "#FFFFFF", | |
| spinner.size = 2 | |
| ) | |
| # options( | |
| # shiny.error = function(){ | |
| # shinyalert(text = "An error occurred!") | |
| # } | |
| # ) | |
| # | |
| # options(shiny.sanitize.errors = FALSE) | |
| # import search engine function | |
| #source("SearchEngine.R") | |
| # Define UI for application that fetches data from Open Alex | |
| ui <- list(navbarPage(title = strong("OpenAlex For Gephi"), | |
| windowTitle = "OpenAlexForGephi", | |
| theme = my_theme, | |
| tabPanel(title = strong("Author To Publication"),icon = icon("bar-chart"), | |
| includeCSS("style.css"),includeScript("code.js"), | |
| sidebarLayout( | |
| sidebarPanel = "", | |
| mainPanel( | |
| align = "center", | |
| width = 12, | |
| fluidRow(column(6,actionLink("info",h6("Info", style = "color:#670e94;text-align:left;"),style = "text-decoration:none;")), | |
| column(6,a(h6("Maintainer",style = "color:#670e94;text-align:right;"), style = "text-decoration:none;", target = "_blank", href = "https://github.com/Ifeanyi55"))), | |
| h6(strong("Select Publication Search Window",style = "color:#670e94;")), | |
| dateInput("date","From"),dateInput("date2","To"), br(), | |
| textInput("text",h6(strong("Keyword Search"),style = "color:#670e94"),placeholder = "Enter keyword(s) here",width = "25%"),br(), | |
| actionButton("search",strong("Search"),icon = icon("search")), | |
| withSpinner(reactableOutput("table",width = "80%",height = 400),type = 1), | |
| fluidRow(column(6,downloadButton("down_nodes",strong("Nodes CSV"),icon = icon("download"))), | |
| column(6,downloadButton("down_edges",strong("Edges CSV"),icon = icon("download")))), | |
| spsGoTop("up", right = "2%", bottom= "8%", icon = icon("arrow-up"), color = "purple"), | |
| ))))) | |
| # Define server logic for application that fetches data from Open Alex | |
| server <- function(input, output, session) { | |
| # import nodes function | |
| source("OpenAlexNodes.R") | |
| # import edges display function | |
| source("OpenAlexEdgesDisp.R") | |
| # import edges function | |
| source("OpenAlexEdges.R") | |
| # convert functions to a reactive objects | |
| # searchEngine <- reactive({search_engine()}) | |
| # convert date inputs to a reactive object | |
| fromReactive <- reactive({input$date}) | |
| toReactive <- reactive({input$date2}) | |
| # convert text input to a reactive object | |
| textReactive <- reactive({input$text}) | |
| authorNodes <- reactive({authorPubNodes( | |
| keywords = c(unlist(strsplit(textReactive(),split = ","))), | |
| pub_start_date = fromReactive(), | |
| pub_end_date = toReactive() | |
| )}) | |
| authorEdgesDisp <- reactive({authorPubEdgesDisp( | |
| keywords = c(unlist(strsplit(textReactive(),split = ","))), | |
| pub_start_date = fromReactive(), | |
| pub_end_date = toReactive() | |
| )}) | |
| authorEdges <- reactive({authorPubEdges( | |
| keywords = c(unlist(strsplit(textReactive(),split = ","))), | |
| pub_start_date = fromReactive(), | |
| pub_end_date = toReactive() | |
| )}) | |
| # # run the search engine | |
| # searchReact <- eventReactive(input$search,{ | |
| # searchEngine(keywords = textReactive(), | |
| # pub_start_date = fromReactive(), | |
| # pub_end_date = toReactive()) | |
| # | |
| # }) | |
| # pass search output to nodes and edges | |
| nodes_df <- eventReactive(input$search,{ | |
| authorNodes() | |
| }) | |
| edges_df <- eventReactive(input$search,{ | |
| authorEdges() | |
| }) | |
| edges_disp <- eventReactive(input$search,{ | |
| authorEdgesDisp() | |
| }) | |
| # render data as a reactable output | |
| output$table <- renderReactable({ | |
| tryCatch( | |
| { | |
| reactable(edges_disp(), | |
| theme = reactableTheme(highlightColor = "#b615e7", | |
| borderColor = "#670e94", | |
| borderWidth = 3), | |
| bordered = T, | |
| compact = T, | |
| striped = T, | |
| highlight = T, | |
| searchable = T, | |
| filterable = T) | |
| }, | |
| error = function(e){ | |
| message("An error occurred!") | |
| print(e) | |
| } | |
| ) | |
| }) | |
| # activate download buttons | |
| output$down_nodes <- downloadHandler( | |
| filename = function(){ | |
| paste("Node",".csv",sep = "") | |
| }, | |
| content = function(file){ | |
| write.csv(nodes_df(),file,row.names = F) | |
| } | |
| ) | |
| output$down_edges <- downloadHandler( | |
| filename = function(){ | |
| paste("Edge",".csv",sep = "") | |
| }, | |
| content = function(file){ | |
| write.csv(edges_df(),file,row.names = F) | |
| } | |
| ) | |
| # create shiny alert | |
| observeEvent(input$info,{ | |
| shinyalert( | |
| text = "Please note that the bigger the search window, | |
| the more data is collected. The more data is collected, | |
| the longer the runtime and the longer it takes to commence file download.", | |
| title = "Info", | |
| closeOnEsc = TRUE, | |
| closeOnClickOutside = TRUE, | |
| confirmButtonText = "OK", | |
| confirmButtonCol = "#9f0be4", | |
| timer = 30000, | |
| showCancelButton = FALSE, | |
| showConfirmButton = TRUE, | |
| animation = "slide-from-top" | |
| ) | |
| }) | |
| } | |
| # Run the application | |
| shinyApp(ui = ui, server = server) | |