mtt/R/add_trace.R

175 lines
5.4 KiB
R

###########################################################################
add_trace_artworks <- function(subdata) {
last_event <- subdata$event[1]
artworks <- unique(subdata$artwork)[unique(subdata$artwork) != "glossar"]
n <- 1 # count artworks for progress
pb <- utils::txtProgressBar(min = 0, max = nrow(subdata), initial = NA,
style = 3)
for (artwork in artworks) {
cat("\n\nAdding trace variable for artwork", artwork,
paste0("(", n, "/", length(artworks), ")"), "\n")
for (i in 1:nrow(subdata)) {
if (last_event == "Show Info" & subdata$artwork[i] == artwork) {
subdata$trace[i] <- i
j <- i
} else if (last_event == "Show Front" & subdata$artwork[i] == artwork) {
subdata$trace[i] <- j
} else if (!(last_event %in% c("Show Info", "Show Front")) &
subdata$artwork[i] == artwork) {
subdata$trace[i] <- j
}
if (i <= nrow(subdata)) {
last_event <- subdata$event[i + 1]
}
utils::setTxtProgressBar(pb, i)
}
n <- n + 1
}
subdata
}
###########################################################################
add_trace_glossar <- function(subdata, xmlpath) {
pb <- utils::txtProgressBar(min = 0, max = nrow(subdata), initial = NA,
style = 3)
cat("\n\n########## Creating glossar dictionary ##########", "\n")
artworks <- unique(subdata$artwork[subdata$artwork != "glossar"])
glossar_files <- unique(subdata[subdata$artwork == "glossar", "popup"])
lut <- create_glossardict(artworks, glossar_files, xmlpath = xmlpath)
inside <- glossar_files[glossar_files %in%
names(lut[sapply(lut, length) == 1])]
single_art <- unlist(lut[names(lut) %in% inside])
m <- 1
for (file in names(lut)) {
cat("\n\nAdding trace variable for glossar entry", file,
paste0("(", m, "/", length(lut), ")"), "\n")
artwork_list <- unlist(lut[names(lut) == file])
for (i in seq_len(nrow(subdata))) {
if (subdata$event[i] == "Show Info" |
(subdata$event[i] == "Artwork/OpenCard" &
subdata$artwork[i] %in% single_art)) {
current_artwork <- subdata[i, "artwork"]
j <- i
k <- i
} else {
current_artwork <- current_artwork
}
if (subdata$event[i] == "Show Front" & subdata$artwork[i] == current_artwork) {
# make sure artwork has not been closed, yet!
k <- i
}
if (subdata$artwork[i] == "glossar" &
(current_artwork %in% artwork_list) &
subdata$popup[i] == file & (j - k == 0)) {
subdata[i, "trace"] <- subdata[j, "trace"]
subdata[i, "artwork"] <- current_artwork
}
utils::setTxtProgressBar(pb, i)
}
m <- m + 1
}
# Exclude not matched glossar entries
cat("\n\nINFORMATION: glossar entries that are not matched will be removed:",
sum(is.na(subdata[subdata$glossar == 1, "trace"])), "entries",
fill = TRUE)
subset(subdata, !is.na(subdata$trace))
}
###########################################################################
add_trace <- function(data, xmlpath, glossar) {
data$trace <- NA
subdata1 <- data[data$event %in% c("Transform start", "Transform stop"), ]
subdata2 <- data[!data$event %in% c("Transform start", "Transform stop"), ]
subdata2 <- add_trace_artworks(subdata2)
if (glossar) {
subdata2 <- add_trace_glossar(subdata2, xmlpath)
} else {
subdata2 <- subdata2[subdata2$glossar != 1, ]
}
out <- rbind(subdata1, subdata2)
out <- out[order(out$fileId, out$date, out$timeMs), ]
out
}
###########################################################################
# Add trace for moves
add_trace_moves <- function(data) {
pbapply::pboptions(style = 3, char = "=")
trace_max <- max(data$trace, na.rm = TRUE)
#subdata_art <- split(data, ~ artwork)
subdata_case <- split(data, ~ case)
#subdata_list <- split(data, ~ artwork + case)
# --> does not work with complete data set
cat("Splitting data...", "\n")
subdata_list <- pbapply::pblapply(subdata_case, split, f = ~artwork)
subdata_list <- unlist(subdata_list, recursive = FALSE)
cat("Adding trace...", "\n")
subdata_trace <- pbapply::pblapply(subdata_list,
function(x) {
trace_max <<- trace_max + 1
add_trace_subdata(x, max_trace = trace_max)
}
)
out <- dplyr::bind_rows(subdata_trace)
out <- out[order(out$fileId.start, out$date.start, out$timeMs.start), ]
rownames(out) <- NULL
# Make trace a consecutive number
out$trace <- as.numeric(factor(out$trace, levels = unique(out$trace)))
out
}
add_trace_subdata <- function(subdata, max_trace) {
if (nrow(subdata) != 0) {
if (length(stats::na.omit(unique(subdata$trace))) == 1) {
subdata[subdata$event == "move", "trace"] <- stats::na.omit(unique(subdata$trace))
} else if (length(stats::na.omit(unique(subdata$trace))) > 1) {
for (i in 1:nrow(subdata)) {
if (subdata$event[i] == "move") {
if (i == 1) {
subdata$trace[i] <- stats::na.omit(unique(subdata$trace))[1]
} else {
subdata$trace[i] <- subdata$trace[i - 1]
}
}
}
} else if (all(is.na(subdata$trace))) {
for (i in 1:nrow(subdata)) {
subdata$trace[i] <- max_trace
}
}
} else {
warning("subdata has nrow = 0")
}
subdata
}