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InputModule.R
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InputModule.R
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################################################################################################################################
#############------------------------------------------------------------------------------------------------------#############
#############------------------------------------ Ascendance Input Module -----------------------------------------#############
#############------------------------------------------------------------------------------------------------------#############
################################################################################################################################
#' This is the module that the user uses to summon the tasks he/she is contributing towards and inputs the time
#' data into.
InputUI <- function(id) {
ns <- NS(id)
rows <- tagList()
rows[[1]] <- fluidRow(
column(11, offset = 1, h4("Select a task with the appropriate
combination of focus area and category."))
)
rows[[2]] <- fluidRow(
column(3, offset = 1, selectInput(ns("focusArea"), label = "Focus Area", choices = unlist(A$fdat$fa))),
column(3, uiOutput(ns("categoryUI"))),
column(3, uiOutput(ns("inputUI")))
)
rows[[3]] <- fluidRow(
column(1, offset = 1, actionButton(ns("go"), label = "Log Time")),
column(1, actionButton(ns("Ntask"), label = "New Task")),
column(1, actionButton(ns("accept"), label = "Accept"))
)
rows[[4]] <- uiOutput(ns("ui"))
rows[[5]] <- br()
tags$div(id = ns("include"), rows )
}
Input <-function(input, output, session, Path) {
load(Path)
ns <- session$ns
rv <- reactiveValues()
output$categoryUI <- renderUI({
selectInput(ns("category"),
label = "Category",
choices = unlist(A$cdat$cat[A$cdat$fa == input[["focusArea"]] ]))
})
output$inputUI <- renderUI({
ch <- unlist(A$tdat$tasks[(A$tdat$fa == input[["focusArea"]]) & (A$tdat$cat == input[["category"]])], use.names = FALSE)
selectInput(ns("task"), label = "Task", choices = ch)
})
add <- reactiveValues(x = 1, y = "")
observeEvent(input$go, priority = 3, {
a <- input[["focusArea"]]; b <- input[["category"]]; c <- input[["task"]]
add$y <- as.character(A$tdat$ID[(A$tdat$fa == a) & (A$tdat$cat == b) & (A$tdat$tasks == c)][[1]])
})
makeObs <- eventReactive(add$x, {
obsnum <- add$x; ID <- add$y
pressed <- reactiveValues()
pressed[[paste0("val_", obsnum)]] <- 1
observeEvent(input[[paste0("record_", obsnum)]], {
timediff <- A$tentr$end - A$tentr$start
now <- Sys.time()
if ( (input[[paste0("start_", obsnum)]] == "") & (input[[paste0("end_", obsnum)]] == "") ) {
if (pressed[[paste0("val_", obsnum)]] %% 2 != 0) {
newstart <- A$tentr$start[1,]; newstart[] <- lapply(1:ncol(newstart), function(x) { newstart[,x] <- now })
newend <- A$tentr$end[1,]; newend[] <- lapply(1:ncol(newend), function(x) { newend[,x] <- now })
neweff <- A$tentr$eff[1,]; neweff[] <- lapply(1:ncol(neweff), function(x) { neweff[,x] <- 0})
A$tentr$start <- rbind(A$tentr$start, newstart)
A$tentr$end <- rbind(A$tentr$end, newend)
A$tentr$eff <- rbind(A$tentr$eff, neweff)
A$tentr$start[nrow(A$tentr$start), ID] <- now
A$tentr$end[nrow(A$tentr$end), ID] <- now
pressed[[paste0("val_", obsnum)]] <- pressed[[paste0("val_", obsnum)]] +1
} else {
A$tentr$end[nrow(A$tentr$end), ID] <- now
A$tentr$eff[nrow(A$tentr$eff), ID] <- 0
pressed[[paste0("val_", obsnum)]] <- pressed[[paste0("val_", obsnum)]] +1
}
} else {
start <- as.POSIXct(strptime(input[[paste0("start_", obsnum)]], "%Y-%m-%d %H:%M:%S"))
end <- as.POSIXct(strptime(input[[paste0("end_", obsnum)]], "%Y-%m-%d %H:%M:%S"))
if (is.na(start) | is.na(end)) {
stopApp("Error: Time format must be 'yyyy-mm-dd hh:mm:ss', military time.")
} else if (start < as.POSIXct(A$fps[[1]][1]) | end < as.POSIXct(A$fps[[1]][1])) {
stopApp("Error: Cannot submit time(s) prior to start of first focus period.")
} else {
newstart <- A$tentr$start[1,]; newstart[] <- lapply(1:ncol(newstart), function(x) { newstart[,x] <- now })
newend <- A$tentr$end[1,]; newend[] <- lapply(1:ncol(newend), function(x) { newend[,x] <- now })
neweff <- A$tentr$eff[1,]; neweff[] <- lapply(1:ncol(neweff), function(x) { neweff[,x] <- 0})
A$tentr$start <- rbind(A$tentr$start, newstart)
A$tentr$end <- rbind(A$tentr$end, newend)
A$tentr$eff <- rbind(A$tentr$eff, neweff)
A$tentr$start[nrow(A$tentr$start), ID] <- start
A$tentr$end[nrow(A$tentr$end), ID] <- end
A$tentr$eff[nrow(A$tentr$eff), ID] <- 0
}
}
save(A, file = Path)
})
})
observeEvent(input$go, priority = 3, { makeObs() })
observeEvent(input$go, priority = 3, {
obsnum <- add$x
insertUI(
selector = paste0("#", ns("include")),
where = "afterEnd",
ui = {
cols <- tagList()
cols[[1]] <- column(5, textInput(ns(paste0("start_", add$x)), label = "Start"))
cols[[2]] <- column(5, textInput(ns(paste0("end_", add$x)), label = "End"))
Row <- tagList()
Row[[1]] <- fluidRow(column(5, h4(paste0(input[["task"]], " ", "(", add$x, ")"))))
Row[[2]] <- do.call(fluidRow, cols)
taskRow <- fluidRow(column(5, Row),
column(1, checkboxInput(ns(paste0("complete_", add$x)), label = "Completed?"))
)
fluidRow(column(9, offset =1, wellPanel(taskRow, fluidRow(
column(9, textInput(ns(paste0("note_", add$x)), label = "Note")),
column(1, actionButton(ns(paste0("record_", add$x)), color = "darkgrey", label = h4("Record")))
)
)))
}
)
add$x <- obsnum + 1
})
inserted <- reactiveValues(tasknum = 1)
observeEvent(input$Ntask, priority = 3, {
insertUI(
selector = paste0("#", ns("include")),
where = "afterEnd",
ui = {
cols <- tagList()
cols[[1]] <- column(2, offset = 1,
textInput(ns(paste0("task", inserted$tasknum)), label = "Task name"))
cols[[2]] <- column(2, selectInput(ns(paste0("focusArea", inserted$tasknum)),
choices = unlist(A$fdat$fa), label = "Focus Area"))
cols[[3]] <- column(2, uiOutput(ns(paste0("categoryUI", inserted$tasknum))))
cols[[4]] <- column(2, numericInput(ns(paste0("hours", inserted$tasknum)),
value = 0, label = "Hours"))
cols[[5]] <- column(2, numericInput(ns(paste0("minutes", inserted$tasknum)),
value = 0, label = "Minutes"))
rows <- tagList()
rows[[1]] <- fluidRow(cols)
rows[[2]] <- fluidRow(column(4, offset = 1, dateInput(ns(paste0("start", inserted$tasknum)),
label = "Start")),
column(4, dateInput(ns(paste0("end", inserted$tasknum)), label = "End")))
rows
}
)
observe(priority = 2, {
counter <- isolate(inserted$tasknum)
index <- paste0("categoryUI", counter)
focusArea <- paste0("focusArea", counter)
output[[ index ]] <- renderUI({
selectInput(ns(paste0("category", counter)), label = "Category",
choices = unlist(A$fdat$cat[A$fdat$fa == input[[focusArea]] ]))
})
})
})
observeEvent(input$Ntask, priority = 1, {inserted$tasknum <- inserted$tasknum + 1})
observeEvent(input$accept, priority = 3, {
num <- inserted$tasknum - 1
req(input[[paste0("task", num)]])
inputsT <- lapply(1:num, function(x) {input[[paste0("task", x)]]})
inputsF <- lapply(1:num, function(x) {input[[paste0("focusArea", x)]]})
inputsC <- lapply(1:num, function(x) {input[[paste0("category", x)]]})
inputsE <- lapply(1:num, function(x) {
hours <- as.difftime(input[[paste0("hours", x)]], units = "hours")
minutes <- as.difftime(input[[paste0("minutes", x)]], units = "mins")
Est <- hours + minutes
units(Est) <- "mins"
Est
})
inputsStart <- lapply(1:num, function(x) {as.POSIXct(input[[paste0("start", x)]], origin = "1970-01-01 00:00.00 UTC")})
inputsEnd <- lapply(1:num, function(x) {as.POSIXct(input[[paste0("end", x)]], origin = "1970-01-01 00:00.00 UTC")})
ntdat <- data.frame(cbind(tasks = inputsT, ID = as.list((1000 + nrow(A$tdat)):(1000 + num - 1 + nrow(A$tdat))),
fa = inputsF, cat = inputsC, est = inputsE,
start = inputsStart, end = inputsEnd))
A$tdat <- rbind(A$tdat, ntdat)
## fixing fdat and tdat data frames to accomodate new tasks
# finding the indexes for unique focus areas, in the tdat data frame
for (i in A$tdat$fa[!(duplicated(A$tdat$fa))]) {
# fixing fdat's task list for given focus areas
A$fdat$tasks[A$fdat$fa == i][[1]] <- unlist(A$tdat$tasks[A$tdat$fa == i])
# finding the index for categories of given focus areas
for (x in A$fdat$cat[A$fdat$fa == i][[1]]) {
# avoiding non-existent tasks for given combination of focus area and category
if (unlist(A$tdat$tasks[(A$tdat$cat == x) & (A$tdat$fa == i)]) %>% length == 0) {
} else {
# fixing cdat's task list for given combination of category and focus area
A$cdat$tasks[(A$cdat$cat == x) & (A$cdat$fa == i)][[1]] <- unlist(A$tdat$tasks[(A$tdat$cat == x) & (A$tdat$fa == i)])
}
}
}
## adding new task to tentr by ID
taskIDs <- as.character(A$tdat$ID[!(A$tdat$ID %in% colnames(A$tentr$start))])
dum <- A$tentr$end - A$tentr$start; Logged <- A$tentr$end - A$tentr$start
dum[] <- lapply(1:ncol(dum), function(x) {
lapply(1:nrow(dum), function(y) {
dum[y,x] <- dum[y,x] != as.difftime(0, units = "hours")
})
})
dates <- append(as.POSIXct(A$fps[[1]][1], origin = "1970-01-01 00:00.00 UTC") +
as.difftime(7, units = "hours"), as.POSIXct(A$tentr$start[dum == FALSE],
origin = "1970-01-01 00:00.00 UTC"))
duplicates <- dates[duplicated(dates)]
dates <- unique(duplicates)
newcol <- A$tentr$start[,1, drop = FALSE]
newcol[] <- dates
for(i in taskIDs) {
names(newcol) <- i
A$tentr$start <- cbind(A$tentr$start, newcol)
A$tentr$end <- cbind(A$tentr$end, newcol)
newcol[] <- rep(0, nrow(newcol))
A$tentr$eff <- cbind(A$tentr$eff, newcol)
A$tentr$auto <- cbind(A$tentr$auto, data.frame(temp = rep("", nrow(A$tentr$auto))))
colnames(A$tentr$auto)[ncol(A$tentr$auto)] <- i
A$Logged <- cbind(A$Logged, data.frame(temp = rep(0, nrow(A$Logged))))
colnames(A$Logged)[ncol(A$Logged)] <- i
}
###### Experimental insertion of previous code to build opC and opCs
a <- A$tdat$start %>% unlist %>% as.POSIXct(., origin = "1970-01-01 00:00.00 UTC") + as.difftime(7, units = "hours")
b <- A$tdat$end %>% unlist %>% as.POSIXct(., origin = "1970-01-01 00:00.00 UTC") + as.difftime(7, units = "hours")
fp <- seq(as.POSIXct(A$fps[[1]][1], origin = "1970-01-01 00:00.00 UTC") + as.difftime(7, units = "hours"),
as.POSIXct(A$fps[[1]][2], origin = "1970-01-01 00:00.00 UTC") + as.difftime(7, units = "hours"), by = "days")
taskperiods <- lapply(seq(length(a)), function(x) {
seq(from = as.POSIXct(as.Date(floor_date(a[x], "day"), origin = "1970-01-01 00:00.00 UTC")) + as.difftime(7, units = "hours"),
to = as.POSIXct(as.Date(ceiling_date(b[x], "day"), origin = "1970-01-01 00:00.00 UTC")) + as.difftime(7, units = "hours"), by = "days")
})
periodsIndex <- lapply(seq(length(a)), function(x) {
fp %in% taskperiods[[x]]
})
opCs <- lapply(seq(length(a)), function(x) {
est <- A$tdat$est[[x]]
units(est) <- "hours"
a <- as.POSIXct(as.Date(floor_date(a[x], "day"), origin = "1970-01-01 00:00.00 UTC")) + as.difftime(7, units = "hours")
b <- as.POSIXct(as.Date(ceiling_date(b[x], "day"), origin = "1970-01-01 00:00.00 UTC")) + as.difftime(7, units = "hours")
tasklength <- as.numeric(difftime(b, a))
slope <- est/tasklength
optC <- slope*rep(1, length(fp))
optC[periodsIndex[[x]] == FALSE] <- 0
optC
})
names(opCs) <- as.character(unlist(A$tdat$ID))
opCs <- data.frame(opCs)
names(opCs) <- as.character(unlist(A$tdat$ID))
opCs[] <- lapply(1:length(opCs), function(x) {
as.numeric(opCs[,x])
})
taskIDs <- lapply(A$cdat$ID, function(i) {
a <- A$cdat$cat[A$cdat$ID == i][[1]]; b <- A$cdat$fa[A$cdat$ID == i][[1]]
unlist(A$tdat$ID[(A$tdat$cat == a) & (A$tdat$fa == b)])
})
names(taskIDs) <- as.character(A$cdat$ID)
for (i in length(taskIDs):1) {
if (length(taskIDs[[i]]) > 1) {
optC <- rowSums(opCs[,as.character(taskIDs[[i]])])
} else if (length(taskIDs[[i]]) == 0) {
optC <- rep(0, nrow(opCs))
} else {
optC <- opCs[,as.character(taskIDs[[i]])]
}
opCs <- cbind(I(as.list(optC)), opCs)
colnames(opCs)[1] <- names(taskIDs[i])
}
for (i in unlist(A$fdat$fa)) {
index <- unlist(A$tdat$ID[A$tdat$fa == i])
if (length(index) > 1) {
optC <- rowSums(opCs[,as.character(index)])
} else if (length(index) == 0) {
optC <- rep(0, nrow(opCs))
} else {
optC <- opCs[,as.character(index)]
}
opCs <- cbind(I(as.list(optC)), opCs)
colnames(opCs)[1] <- i
}
opCs <- cbind(full = I(as.list(rowSums(opCs[,colnames(opCs) %in% A$tdat$ID]))), opCs)
opCs[] <- lapply(1:ncol(opCs), function(x) {
as.difftime(unlist(opCs[,x]), units = "hours")
})
opC <- opCs
opC[] <- lapply(1:ncol(opC), function(x) {
cumtime(unlist(opCs[,x]))
})
opCs <- cbind(fp = fp, opCs)
opC <- cbind(fp = fp, opC)
x <- c(opC$fp[1], opC$fp[1], opC$fp[opC$fp > opC$fp[1]], opC$fp[opC$fp == max(opC$fp)], opC$fp[1])
y <- c(as.difftime(0, units = "hours"), opC$full[opC$fp == opC$fp[1]], opC$full[opC$fp > opC$fp[1]],
as.difftime(0, units = "hours"), as.difftime(0, units = "hours"))
shade <- data.frame(x, y)
A$opCs <- opCs
A$opC <- opC
######
save(A, file = Path)
})
}