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server.R
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library(shiny)
library(dplyr)
library(lubridate)
library(reactablefmtr)
function(input, output, session) {
raw <- c(
input$iron, input$copper, input$coal, input$stone, input$uranium,
input$petroleum, input$light, input$heavy, input$crude, input$water
) |> reactive()
speed <- input$assembler |> ifelse(1.25, 0.75) |> reactive()
slots <- input$assembler |> ifelse(4, 2) |> reactive()
machines_on_beacon <- ifelse(
input$machines_on_beacon == 0,
1, input$machines_on_beacon
) |> reactive()
tier1 <- sum(c( 15, 32.5, 5, 0, 0, 100, 0, 0, 0, 0) * raw()) |> reactive()
tier2 <- sum(c( 190, 355, 35, 0, 0, 737.5, 0, 0, 0, 87.5) * raw()) |> reactive()
tier3 <- sum(c(1083, 2000, 190, 0, 0, 4025, 0, 0, 0, 525) * raw()) |> reactive()
beacon <- sum(c( 110, 135, 20, 0, 0, 400, 0, 0, 0, 0) * raw()) |> reactive()
assembler <- sum(c( 60, 130, 20, 0, 0, 400, 0, 0, 0, 0) * raw()) |> reactive()
module <- tibble(
cost = c(tier1(), tier2(), tier3()),
prod = c( 0.04, 0.06, 0.1),
penalty = c( -0.05, -0.1, -0.15),
speed = c( 0.2, 0.3, 0.5)
) |> reactive()
researchcost <-
input$researchcost |>
sapply(
function(x) {
case_when(
x == "aut" ~ c( 2, 1, 0, 0, 0, 0, 0, 0, 0, 0),
x == "log" ~ c( 5.5, 1.5, 0, 0, 0, 0, 0, 0, 0, 0),
x == "mil" ~ c( 7, 2.5, 5, 10, 0, 0, 0, 0, 0, 0),
x == "che" ~ c( 12, 7.5, 1.5, 0, 0, 37.5, 0, 0, 0, 7.5),
x == "pro" ~ c( 52.5, 19.17, 3.33, 11.67, 0, 66.67, 0, 0, 0, 0),
x == "uti" ~ c(33.33, 49.83, 3.83, 0, 0, 101.67, 0, 5, 0, 58.33),
x == "spa" ~ c(57.54, 101.79, 9.95, 0, 0, 222.25, 115.5, 0, 0, 54.25)
)
}
) |>
apply(MARGIN = 1, sum) |>
reactive()
cost <- tibble(
"Iron plate" = c( 1, 0, 0, 0, 0, 0, 0, 0, 0, 0),
"Copper plate" = c( 0, 1, 0, 0, 0, 0, 0, 0, 0, 0),
"Stone brick" = c( 0, 0, 0, 2, 0, 0, 0, 0, 0, 0),
"Steel plate" = c( 5, 0, 0, 0, 0, 0, 0, 0, 0, 0),
"Solid fuel petroleum" = c( 0, 0, 0, 0, 0, 20, 0, 0, 0, 0),
"Solid fuel light" = c( 0, 0, 0, 0, 0, 0, 10, 0, 0, 0),
"Solid fuel heavy" = c( 0, 0, 0, 0, 0, 0, 0, 20, 0, 0),
"Plastic bar" = c( 0, 0, 0.5, 0, 0, 10, 0, 0, 0, 0),
"Sulfur" = c( 0, 0, 0, 0, 0, 15, 0, 0, 0, 15),
"Battery" = c( 1.4, 1, 0, 0, 0, 30, 0, 0, 0, 70),
"Explosives" = c( 0, 0, 0.5, 0, 0, 7.5, 0, 0, 0, 12.5),
"Copper cable" = c( 0, 0.5, 0, 0, 0, 0, 0, 0, 0, 0),
"Iron stick" = c( 0.5, 0, 0, 0, 0, 0, 0, 0, 0, 0),
"Iron gear wheel" = c( 2, 0, 0, 0, 0, 0, 0, 0, 0, 0),
"Empty barrel" = c( 5, 0, 0, 0, 0, 0, 0, 0, 0, 0),
"Electronic circuit" = c( 1, 1.5, 0, 0, 0, 0, 0, 0, 0, 0),
"Advanced circuit" = c( 2, 5, 1, 0, 0, 20, 0, 0, 0, 0),
"Processing unit" = c( 24.1, 40, 2, 0, 0, 47.5, 0, 0, 0, 17.5),
"Engine unit" = c( 9, 0, 0, 0, 0, 0, 0, 0, 0, 0),
"Electric engine unit" = c( 11, 3, 0, 0, 0, 0, 0, 15, 0, 0),
"Flying robot frame" = c( 21.8, 9.5, 0, 0, 0, 60, 0, 15, 0, 140),
"Rocket control unit" = c( 39.1, 72.5, 7, 0, 0, 147.5, 0, 0, 0, 17.5),
"Low density structure" = c( 10, 20, 2.5, 0, 0, 50, 0, 0, 0, 0),
"Rocket fuel" = c( 0, 0, 0, 0, 0, 0, 110, 0, 0, 0),
"Automation science" = c( 2, 1, 0, 0, 0, 0, 0, 0, 0, 0),
"Logistic science" = c( 5.5, 1.5, 0, 0, 0, 0, 0, 0, 0, 0),
"Military science" = c( 7, 2.5, 5, 10, 0, 0, 0, 0, 0, 0),
"Chemical science" = c( 12, 7.5, 1.5, 0, 0, 37.5, 0, 0, 0, 7.5),
"Production science" = c( 52.5, 19.17, 3.33, 11.67, 0, 66.67, 0, 0, 0, 0),
"Utility science" = c(33.33, 49.83, 3.83, 0, 0, 101.67, 0, 5, 0, 58.33),
"Space science" = c(57.54, 101.79, 9.95, 0, 0, 222.25, 115.5, 0, 0, 54.25),
"Uranium processing" = c( 0, 0, 0, 0, 10, 0, 0, 0, 0, 0),
"Kovarex enrichment" = c( 0, 0, 0, 0, 29.59, 0, 0, 0, 0, 0),
"Uranium fuel cell" = c( 1, 0, 0, 0, 21.7, 0, 0, 0, 0, 0),
"Nuclear fuel" = c( 0, 0, 0, 0, 29.59, 0, 110, 0, 0, 0),
"Basic oil processing" = c( 0, 0, 0, 0, 0, 0, 0, 0, 100, 0),
"Advanced oil processing" = c( 0, 0, 0, 0, 0, 0, 0, 0, 100, 50),
"Coal liquefaction" = c( 0, 0, 10.38, 0, 0, 0, 0, 0, 0, 50),
"Heavy oil cracking" = c( 0, 0, 0, 0, 0, 0, 0, 40, 0, 30),
"Light oil cracking" = c( 0, 0, 0, 0, 0, 0, 30, 0, 0, 30),
"Lubricant" = c( 0, 0, 0, 0, 0, 0, 0, 1, 0, 0),
"Sulfuric acid" = c( 0.02, 0, 0, 0, 0, 1.5, 0, 0, 0, 3.5),
"Research" = researchcost()
) |> reactive()
recipe <- tibble(
recipe = cost() |> colnames(),
cost = sapply(
recipe,
function(x) {
sum(cost()[x] * raw())
}
),
time = c(
3.2, 3.2, 3.2, 16,
2, 2, 2, 0.5, 0.5, 4, 2,
0.25, 0.25, 0.5, 1,
0.5, 6, 10, 10, 10, 20,
30, 20, 30,
5, 6, 5, 12, 7, 7, 0.3,
12, 60, 10, 90,
5, 5, 5, 2, 2, 0.1, 0.02,
input$researchspeed
),
speed = c(
2, 2, 2, 2,
1, 1, 1, 1, 1, 1, 1,
speed(), speed(), speed(), speed(),
speed(), speed(), speed(), speed(), speed(), speed(),
speed(), speed(), speed(),
speed(), speed(), speed(), speed(), speed(), speed(), 1,
1, 1, speed(), 1,
1, 1, 1, 1, 1, 1, 1,
input$labspeed
),
slots = c(
2, 2, 2, 2,
3, 3, 3, 3, 3, 3, 3,
slots(), slots(), slots(), slots(),
slots(), slots(), slots(), slots(), slots(), slots(),
slots(), slots(), slots(),
slots(), slots(), slots(), slots(), slots(), slots(), 4,
2, 2, slots(), 2,
3, 3, 3, 3, 3, 3, 3,
2
)
) |> reactive()
payoff <- tibble(
totalcost3 =
recipe()["slots"] * module()[["cost"]][3] +
input$beacons_on_machine / machines_on_beacon() * (2 * module()[["cost"]][3] + beacon()) +
(recipe()["speed"] == 1.25) * assembler(),
totalspeed3 =
recipe()["speed"] * (
1 + recipe()["slots"] * module()[["penalty"]][3] +
input$beacons_on_machine * module()[["speed"]][3]
),
totalprod3 = 1 + recipe()["slots"] * module()[["prod"]][3],
seconds3 =
totalcost3 *
recipe()["time"] /
recipe()["cost"] /
totalspeed3 /
(1 - 1 / totalprod3),
totalcost2 =
recipe()["slots"] * module()[["cost"]][2] +
input$beacons_on_machine / machines_on_beacon() * (2 * module()[["cost"]][2] + beacon()) +
(recipe()["speed"] == 1.25) * assembler(),
totalspeed2 =
recipe()["speed"] * (
1 + recipe()["slots"] * module()[["penalty"]][2] +
input$beacons_on_machine * module()[["speed"]][2]
),
totalprod2 = 1 + recipe()["slots"] * module()[["prod"]][2],
seconds2 =
totalcost2 *
recipe()["time"] /
recipe()["cost"] /
totalspeed2 /
(1 - 1 / totalprod2),
totalcost1 =
recipe()["slots"] * module()[["cost"]][1] +
input$beacons_on_machine / machines_on_beacon() * (2 * module()[["cost"]][1] + beacon()) +
(recipe()["speed"] == 1.25) * assembler(),
totalspeed1 =
recipe()["speed"] * (
1 + recipe()["slots"] * module()[["penalty"]][1] +
input$beacons_on_machine * module()[["speed"]][1]
),
totalprod1 = 1 + recipe()["slots"] * module()[["prod"]][1],
seconds1 =
totalcost1 *
recipe()["time"] /
recipe()["cost"] /
totalspeed1 /
(1 - 1 / totalprod1)
) |> reactive()
tabledata <- data.frame(
recipe = recipe()["recipe"],
seconds3 = payoff()["seconds3"] |> unlist() |> as.integer(),
seconds2 = payoff()["seconds2"] |> unlist() |> as.integer(),
seconds1 = payoff()["seconds1"] |> unlist() |> as.integer(),
tier3 = payoff()["seconds3"] |> unlist() |> as.integer() |> as.duration() |> as.period() |> tolower(),
tier2 = payoff()["seconds2"] |> unlist() |> as.integer() |> as.duration() |> as.period() |> tolower(),
tier1 = payoff()["seconds1"] |> unlist() |> as.integer() |> as.duration() |> as.period() |> tolower()
) |> reactive()
output$table <- reactable(
tabledata(),
theme = cosmo(header_font_size = 20),
pagination = FALSE, highlight = TRUE, sortable = FALSE,
showSortable = TRUE, defaultSorted = "seconds3",
columns = list(
recipe = colDef(
align = "left", filterable = TRUE,
header = tagList(
span(style = "display: inline-block; width: 32px;",
img(src = "Recipe.png", width = 32, height = 32)
),
span(style = "font-weight: bold; margin-left: 8px;", "Recipe")
),
cell = function(item){
image <- img(src = sprintf("%s.png", item), width = 32, height = 32)
tagList(
span(style = "display: inline-block; width: 32px;", image),
span(style = "font-weight: bold; margin-left: 8px;", item)
)
}
),
tier3 = colDef(
align = "center", vAlign = "center",
cell = data_bars(
tabledata(), fill_by = "seconds3",
text_position = "above", bold_text = TRUE,
fill_color = "#ffa020", bar_height = 10, round_edges = TRUE,
border_style = "solid", border_width = "1px", border_color = "#00000040"
),
header = tagList(
if(input$beacons_on_machine > 0){
span(style = "display: inline-block; width: 32px;",
img(src = "Speed3.png", width = 32, height = 32)
)
},
span(style = "display: inline-block; width: 32px;",
img(src = "Prod3.png", width = 32, height = 32)
),
span(style = "font-weight: bold; margin-left: 8px;", "Tier 3")
)
),
tier2 = colDef(
align = "center", vAlign = "center",
cell = data_bars(
tabledata(), fill_by = "seconds2",
text_position = "above", bold_text = TRUE,
fill_color = "#ff9010", bar_height = 10, round_edges = TRUE,
border_style = "solid", border_width = "1px", border_color = "#00000040"
),
header = tagList(
if(input$beacons_on_machine > 0){
span(style = "display: inline-block; width: 32px;",
img(src = "Speed2.png", width = 32, height = 32)
)
},
span(style = "display: inline-block; width: 32px;",
img(src = "Prod2.png", width = 32, height = 32)
),
span(style = "font-weight: bold; margin-left: 8px;", "Tier 2")
)
),
tier1 = colDef(
align = "center", vAlign = "center",
cell = data_bars(
tabledata(), fill_by = "seconds1",
text_position = "above", bold_text = TRUE,
fill_color = "#ff8000", bar_height = 10, round_edges = TRUE,
border_style = "solid", border_width = "1px", border_color = "#00000040"
),
header = tagList(
if(input$beacons_on_machine > 0){
span(style = "display: inline-block; width: 32px;",
img(src = "Speed1.png", width = 32, height = 32)
)
},
span(style = "display: inline-block; width: 32px;",
img(src = "Prod1.png", width = 32, height = 32)
),
span(style = "font-weight: bold; margin-left: 8px;", "Tier 1")
)
),
seconds3 = colDef(show = FALSE),
seconds2 = colDef(show = FALSE),
seconds1 = colDef(show = FALSE)
)
) |> renderReactable()
} |> shinyServer()