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server.R
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require("igraph")
require("OpenImageR")
source("scripts/BDM1D.R")
source("scripts/BDM2D.R")
source("scripts/loadGraph.R")
source("scripts/listEdges.R")
source("scripts/matrixPlot.R")
source("scripts/unnameGraph.R")
source("scripts/reduceImage.R")
source("scripts/compressionLength.R")
source("scripts/edgeAndVertexKnockout.R")
source("scripts/simultaneousAttackOnStrings.R")
shinyServer(function(input, output, session) {
#######################
### MILS FOR GRAPHS ###
#######################
# the names/indices of vertices for the graph are set at load_graph
g <- load_graph("./data/starGraphAdjMatrix.csv")
g <- set_vertex_attr(g, "name", value = seq(1:length(V(g))))
g_original <- g
g_reduced <- g
loss_vertices <- correct_loss_ranking(calculate_loss_by_vertex(g,
block_size = 4,
offset = 1))
loss_edges <- correct_loss_ranking(calculate_loss_by_edge(g,
block_size = 4,
offset = 1))
deletions_counter <- as.integer(1)
reactive_data <- reactiveValues(g = g,
g_reduced = g_reduced,
g_original = g_original,
loss_vertices = loss_vertices,
loss_edges = loss_edges,
deletions_counter = deletions_counter)
observeEvent(input$swap_graphs_button, {
reactive_data$g <- reactive_data$g_reduced
})
observeEvent(input$reset_graphs_button, {
reactive_data$g <- reactive_data$g_original
#reactive_data$g_reduced <- reactive_data$g_original
})
observeEvent(input$file1, {
in_file <- input$file1
if (is.null(in_file$datapath)) {
} else {
reactive_data$loss_vertices <- correct_loss_ranking(calculate_loss_by_vertex(reactive_data$g, 4, 1))
reactive_data$loss_edges <- correct_loss_ranking(calculate_loss_by_edge(reactive_data$g, 4, 1))
reactive_data$g <- load_graph(in_file$datapath)
reactive_data$g_original <- reactive_data$g
reactive_data$g_reduced <- reactive_data$g
reactive_data$deletions_counter <- as.integer(1)
}
}, ignoreInit = FALSE)
observeEvent(input$number_of_elements, {
elems <- 0
if (input$number_of_elements != 0) {
if (input$elements_to_delete == "vertices") {
elems <- vcount(reactive_data$g)
verticesToDelete <- reactive_data$loss_vertices$name
reactive_data$g_reduced <- delete_vertices(reactive_data$g,
verticesToDelete[1:input$number_of_elements])
}
if (input$elements_to_delete == "edges") {
elems <- ecount(reactive_data$g)
edges_to_delete <- format_edges(reactive_data$loss_edges)
reactive_data$g_reduced <- delete_edges(reactive_data$g,
edges_to_delete[1:input$number_of_elements])
}
}
updateSelectInput(session = session,
inputId = "number_of_elements",
choices = c(1:(elems-1)),
selected = input$number_of_elements)
}, ignoreNULL = FALSE)
output$graph_plot <- renderPlot({
if (input$show_adjacency_matrix == TRUE) {
plot_adj_matrix(unname_graph(reactive_data$g))
}
else{
coords <- layout_(reactive_data$g, as_star())
plot(reactive_data$g,
layout = coords,
edge.arrow.size = 0.5,
vertex.size = 25,
vertex.label.family = "Arial Black")
}
})
output$reduced_graph_plot <- renderPlot({
if (input$show_adjacency_matrix == TRUE) {
plot_adj_matrix(unname_graph(reactive_data$g_reduced))
} else {
coords <- layout_(reactive_data$g_reduced, as_star())
plot(reactive_data$g_reduced,
layout = coords,
edge.arrow.size = 0.5,
vertex.size = 25,
vertex.label.family = "Arial Black")
}
})
#######################
### MILS FOR IMAGES ###
#######################
path <- 'data/images/1.png'
read_image <- readImage(path)
im <- path %>% readImage %>%
resizeImage(width = 150, height = 150, method = 'bilinear')
im_reduced <- reduce_image(im, 4, 4, 50)
react_image <- reactiveValues(im = im, im_reduced = im_reduced)
observeEvent(input$file2, {
in_file <- input$file2
if (is.null(in_file$datapath)) {
} else {
react_image$im <- readImage(in_file$datapath)
}
}, ignoreNULL = FALSE)
observeEvent(input$number_of_reductions, {
elems <- 0
if (input$number_of_reductions != 0) {
if (input$image_elements == 'rows') {
elems <- nrow(react_image$im)
}
if (input$image_elements == 'columns') {
elems <- ncol(react_image$im)
}
}
updateSliderInput(session, "number_of_reductions",
max = elems-1, step = 1)
})
output$image_plot <- renderPlot({
imageShow(react_image$im)
})
output$reduction_map_plot <- renderPlot({
react_image$im_reduced <- reduce_image(im = react_image$im,
block_size = 4,
offset = 4,
num = input$number_of_reductions,
what = input$image_elements)
imageShow(react_image$im_reduced$coloring)
})
output$reduced_image_plot <- renderPlot({
imageShow(react_image$im_reduced$reduction)
})
########################
### MILS FOR STRINGS ###
########################
observeEvent(input$block_size_1D, {
updateSliderInput(session,
"block_overlap",
max = input$block_size_1D - 1)
})
observeEvent(input$insert_string, {
updateSliderInput(session,
"n_reduced",
max = nchar(input$insert_string) - 2)
})
output$orig_str <- renderText({
input$evalButton
isolate({
paste0("Original string = ", input$insert_string)
})
})
output$mutate_str <- renderText({
input$evalButton
isolate({
paste0("Reduced string with minimal algorithmic loss = ",
simultaneous_attack_on_string(input$insert_string,
block_size = input$block_size_1D,
offset = (input$block_size - input$block_overlap),
input$alphabet,
input$n_reduced,
FALSE)
)
})
})
##### BDM 1D
observeEvent(input$block_size_1D, {
updateSliderInput(session,
"block_overlap",
max = input$block_size_1D - 1)
})
observeEvent(input$insert_string, {
updateSliderInput(session,
"n_reduced",
max = nchar(input$insert_string) - 2)
})
output$orig_str <- renderText({
input$eval_string_button
isolate({
paste0(input$insert_string)
})
})
output$mutate_str <- renderText({
input$eval_string_button
isolate({
paste0(simultaneous_attack_on_string(input$insert_string,
block_size= input$block_size_1D,
offset = (input$block_size_1D - input$block_overlap),
input$alphabet,
input$n_reduced,
FALSE)
)
})
})
})