---
title: "Use processanimateR and Shiny"
author: "Felix Mannhardt"
date: "`r Sys.Date()`"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Use processanimateR in Shiny}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

```{r setup, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)
```

ProcessanimateR animation can be also used interactively as part of a ([Shiny](https://shiny.rstudio.com)) web-application. Here, an example application that expects attributes are of an appropriate data type and automatically chooses appropriate color scales is given. We first define a function `ianimate_process` that defines our Shiny application as follows:


```{r eval=FALSE}
library(processanimateR)
library(shiny)
library(shinycssloaders)
ianimate_process <- function(eventlog, min.time = 30, max.time = 600, default.time = 60) {

  ui <- function(request) {
    fluidPage(
      tags$head(tags$style("#process{height:90vh !important;}")),
      titlePanel("Hello processanimateR!"),

      sidebarLayout(

        sidebarPanel(
          width = 2,
          sliderInput("duration", "Animation duration", min.time, max.time, default.time),
          selectInput("type", "Animation type", c("relative", "absolute"), "relative"),
          selectInput("sizeAttribute", "Size attribute", c("none", colnames(eventlog)), "none"),
          selectInput("colorAttribute", "Color attribute", c("none", colnames(eventlog)), "none"),
          selectInput("orientation", "Orientation", c("horizontal"="LR", "vertical"="TB"), "horizontal"),
          h4("Selected cases"),
          textOutput("token_selection"),
          h4("Selected activities"),
          textOutput("activity_selection")
        ),

        mainPanel(
          width = 10,
          shinycssloaders::withSpinner(processanimaterOutput("process"))
        )
      )
    )
  }

  server <- function(session, input, output) {

    data <- reactive({

      if (input$colorAttribute != "none") {
        attr <- rlang::sym(input$colorAttribute)
        val <- eventlog %>% pull(!!attr)
        if (!(is.character(val) || is.factor(val))) {
          warning("Trying to use a numeric attribute for the token color!")
        }
      }

      if (input$sizeAttribute != "none") {
        # This only works for numeric attributes
        attr <- rlang::sym(input$sizeAttribute)
        val <- eventlog %>% pull(!!attr)
        if (!is.numeric(val)) {
          warning("Trying to use a non-numeric attribute for the token size!")
        }
      }

      eventlog

    })

    output$token_selection <- renderText({

      paste0(input$process_tokens, ",")

    })

    output$activity_selection <- renderText({

      paste0(input$process_activities, ",")

    })

    output$process <- renderProcessanimater(expr = {
      graph <- processmapR::process_map(data(), render = F)
      model <- DiagrammeR::add_global_graph_attrs(graph, attr = "rankdir", value = input$orientation, attr_type = "graph")
      if (input$sizeAttribute != "none" && input$colorAttribute != "none") {
        animate_process(data(), model,
                        mode = input$type,
                        legend = "color",
                        mapping = token_aes(color = token_scale(input$colorAttribute, scale = "ordinal", 
                                                                range = RColorBrewer::brewer.pal(5, "YlOrBr")),
                                            size = token_scale(input$sizeAttribute, scale = "linear", range = c(6,10))),
                        duration = input$duration)
      } else if (input$sizeAttribute != "none") {
        animate_process(data(), model,
                        mode = input$type,
                        legend = "size",
                        mapping = token_aes(size = token_scale(input$sizeAttribute, scale = "linear", range = c(6,10))),
                        duration = input$duration)

      } else if (input$colorAttribute != "none") {
        animate_process(data(), model,
                        mode = input$type,
                        legend = "color",
                        mapping = token_aes(color = token_scale(input$colorAttribute, scale = "ordinal", range = RColorBrewer::brewer.pal(5, "YlOrBr"))),
                        duration = input$duration)
      } else {
        animate_process(data(), model,
                        mode = input$type,
                        duration = input$duration)
      }

    })

  }

  shinyApp(ui, server, options = list(height = 500))

}
```


Then, the application can be, for example, launched by calling:

```{r eval=FALSE}
library(eventdataR)
library(edeaR)
library(dplyr)
ianimate_process(sepsis %>%
  filter_trace_frequency(percentage = 0.2) %>%
  filter_activity(c("Return ER"), reverse = T) %>%
  # we fix the datatype of some of the attributes to allow proper rendering of the token color
  # the token size option currently only support numeric attributes
  mutate_at(c("lacticacid", "leucocytes", "crp", "age"), as.numeric) %>%
  mutate_at(c("disfuncorg", "sirscriteria2ormore", "infectionsuspected"), as.logical))
```
