Worked on closing events and checking traces; needs more love still

README.Rmd

@@ -181,6 +181,20 @@ details.
 UPDATE: By now I remove all events that span more than one log file. This
 lets me improve speed considerably.
 
+UPDATE: Infos from Philipp:
+
+"Bin außerdem gerade den Code von damals durchgegangen. Das Logging läuft
+so: Mit Start der Anwendung wird alle 10 Minuten ein neues Logfile
+erstellt. Die Startzeit, von der aus die Duration berechnet wird, wird
+jeweils neu gesetzt. Duration ist also nicht "Dauer seit Start der
+Anwendung" sondern "Dauer seit Restart des Loggers". Deine Vermutung ist
+also richtig - es sollte keine Durations >10 Minuten geben. Der erste
+Eintrag eines Logfiles kann alles zwischen 0 und 10 Minuten sein (je
+nachdem, ob der Tisch zum Zeitpunkt des neuen Logging-Intervalls in
+Benutzung war). Wenn ein Case also über 2+ Logs verteilt ist, musst du auf
+die Duration jeweils 10 Minuten pro Logfile nach dem ersten addieren, damit
+es passt."
+
 ## Left padding of file IDs
 
 The file names of the raw log files are automatically generated and contain

code/01_preprocessing_haum.R

@@ -11,21 +11,20 @@ path <- "../data/haum/LogFiles/"
 folders <- dir(path)
 
 # parse raw log files
-datraw <- parse_logfiles(folders, path)
+#datraw <- parse_logfiles(folders, path)
+datraw <- read.table("../data/haum/raw_logfiles_small_2023-09-26_13-50-20.csv",
+                     sep = ";", header = TRUE)
 
 # export data
 write.table(datraw, paste0("../data/haum/raw_logfiles_", now, ".csv"),
             sep = ";", row.names = FALSE)
-#save(datraw, file = paste0("../data/haum/datraw_", now, ".RData"))
-#load("../data/haum/datraw_2023-09-23_01-31-30.RData")
-artworks <- unique(na.omit(datraw$artwork))
 
 # convert to log events
 datlogs <- create_eventlogs(datraw, 
            xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
+
 artworks <- unique(na.omit(datlogs$artwork))
 artworks <- artworks[!artworks %in% c("504", "505")]
-
 topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
                          xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
 

code/02_metadata_haum.R

@@ -47,7 +47,8 @@ for (i in seq_len(nrow(sf))) {
 # data sets... Not important here, since I only do NI.
 
 # load (small) event log data set
-dat <- read.table("data/haum/event_logfiles_2023-09-23_01-31-30.csv",
+#dat <- read.table("data/haum/event_logfiles_2023-09-23_01-31-30.csv",
+dat <- read.table("data/haum/event_logfiles_small_2023-10-15_10-08-43.csv",
                   sep = ";", header = TRUE)
 dat$date.start <- as.POSIXct(dat$date.start)
 dat$date.stop <- as.POSIXct(dat$date.stop)
@@ -64,7 +65,7 @@ dat2 <- merge(dat1, sfdat, by = "date", all.x = TRUE)
 ## Export data
 
 write.table(dat2,
-            file = "data/haum/event_logfiles_metadata_2023-09-23_01-31-30.csv",
+            file = "data/haum/event_logfiles_small_metadata_2023-10-15_10-08-43.csv",
             sep = ";", row.names = FALSE)
 
 # TODO: Maybe add infos about artworks?

code/04_modeling_haum.R

@@ -4,14 +4,14 @@
 
 # dat0 <- read.table("../data/haum/event_logfiles_metadata_2023-09-23_01-31-30.csv",
 #                   sep = ";", header = TRUE)
-dat0 <- read.table("../data/haum/event_logfiles_small_metadata_2023-09-25_09-56-34.csv",
+dat0 <- read.table("../data/haum/event_logfiles_small_metadata_2023-10-15_10-08-43.csv",
                   sep = ";", header = TRUE)
 dat0$date <- as.Date(dat0$date)
 dat0$date.start <- as.POSIXct(dat0$date.start)
 dat0$date.stop <- as.POSIXct(dat0$date.stop)
 dat0$artwork <- sprintf("%03d", dat0$artwork)
 
-# TODO: Write a functions that closes events spanning different log files
+# TODO: Write a function that closes events spanning different log files
 # OR: Remove openTopic and OpenPopup events that do not start with a
 # flipCard (AND openPopup events without openTopic event beforehand)
 
@@ -48,16 +48,46 @@ table(table(dat$start))
 
 summary(aggregate(duration ~ trace, dat, mean))
 
+# remove fragmented traces
+tab <- xtabs( ~ trace + event, dat)
 
-alog <- activitylog(dat,
+fragments <- NULL
+
+for (i in seq_len(nrow(tab))) {
+  if (tab[i, "openPopup"] != 0 & tab[i, "flipCard"] == 0) {
+    fragments <- c(fragments, rownames(tab)[i])
+  } else if (tab[i, "openTopic"] != 0 & tab[i, "flipCard"] == 0) {
+    fragments <- c(fragments, rownames(tab)[i])
+  } else if (tab[i, "openPopup"] != 0 & tab[i, "openTopic"] == 0) {
+    fragments <- c(fragments, rownames(tab)[i])
+  }
+}
+datrm <- dat[!dat$trace %in% fragments, ]
+
+# TODO: Find trace that has flipCard --> openPopup --> openTopic
+dato <- datrm[datrm$event != "move", ]
+tmp <- lapply(unique(dato$trace), function(x) unique(dato[dato$trace == x, "event"]))
+names(tmp) <- unique(dato$trace)
+
+ids <- sapply(tmp, length) == 3
+do.call(rbind, tmp[ids])
+
+# TODO:
+# fragmentary traces: for 4591 openTopic for topic 1 is in the raw log files, but gets
+# probably removed in close_events(); how can I prevent that? How can I fix
+# the traces and eventIds that do not match correctly ???
+ct <- c(4591, 5937, 7080, 8412, 8279)
+datrm[datrm$trace %in% ct, 1:10]
+
+### WHY?????
+
+alog <- activitylog(datrm,
                     case_id = "trace",
                     activity_id = "event",
                     #resource_id = "case",
                     resource_id = "artwork",
                     timestamps = c("start", "complete"))
 
-# --> have not understood, yet, which ist what...
-
 process_map(alog)
 
 process_map(alog, frequency("relative"))

code/check_traces.R

@@ -2,10 +2,10 @@
 
 # Read data
 
-dat <- read.table("../data/haum/event_logfiles_metadata_2023-09-23_01-31-30.csv",
-                   sep = ";", header = TRUE)
-# dat <- read.table("../data/haum/event_logfiles_small_metadata_2023-09-25_09-56-34.csv",
-#                   sep = ";", header = TRUE)
+# dat <- read.table("../data/haum/event_logfiles_metadata_2023-09-23_01-31-30.csv",
+#                    sep = ";", header = TRUE)
+dat <- read.table("../data/haum/event_logfiles_small_metadata_2023-10-15_10-08-43.csv",
+                  sep = ";", header = TRUE)
 dat$date <- as.Date(dat$date)
 dat$date.start <- as.POSIXct(dat$date.start)
 dat$date.stop <- as.POSIXct(dat$date.stop)