Tried out current state of mtt; parsing for 8o8m still not working correctly

code/01_preprocessing_8o8m.R

@@ -10,17 +10,26 @@ folders <- dir("../data/8o8m/LogFiles/")
 
 # parse raw log files
 datraw <- parse_logfiles(folders, path = "../data/8o8m/LogFiles/")
-artworks <- unique(na.omit(datraw$artwork))
+#artworks <- unique(na.omit(datraw$artwork))
 
 # export data
 write.table(datraw, paste0("../data/8o8m/raw_logfiles_", now, ".csv"),
             sep = ";", row.names = FALSE)
 
-datraw2 <- datraw[!is.na(datraw$artwork), ]
+#datraw[is.na(datraw$artwork), ]
+datraw <- datraw[!is.na(datraw$artwork), ]
 # TODO: Why is this happening?
 
 # convert to log events
-datlogs <- create_eventlogs(datraw2, xmlpath = "../data/8o8m/Content8o8m/")
+datlogs <- create_eventlogs(datraw, xmlpath = "../data/8o8m/Content8o8m/")
+
+artworks <- unique(datlogs$artwork)
+
+
+topics <- extract_topics(artworks, xmlfiles = paste0(artworks, "_en.xml"),
+                         xmlpath = "../data/8o8m/Content8o8m/")
+# TODO: What is wrong with the German XML files that the topics are
+# extracted like this? (It works fine for the English versions...)
 
 # export data
 write.table(datlogs, paste0("../data/8o8m/event_logfiles_", now, ".csv"),

code/01_preprocessing_haum.R

@@ -24,20 +24,25 @@ now <- format(Sys.time(), "%Y-%m-%d_%H-%M-%S")
 
 #--------------- (1) Parse raw log files ---------------
 
-path <- "../data/haum/LogFiles/"
+#path <- "../data/haum/LogFiles/"
-folders <- dir(path)
+#folders <- dir(path)
+#folders <- "2016"
 
-datraw <- parse_logfiles(folders, path)
+#datraw <- parse_logfiles(folders, path)
+
+datraw <- read.table("../data/haum/raw_logfiles_2023-10-25_16-20-45.csv",
+                     sep = ";", header = TRUE)
 
 ## Export data
 
-write.table(datraw, paste0("../data/haum/raw_logfiles_", now, ".csv"),
+#write.table(datraw, paste0("../data/haum/raw_logfiles_small_", now, ".csv"),
-            sep = ";", row.names = FALSE)
+#            sep = ";", row.names = FALSE)
 
 #--------------- (2) Create event logs ---------------
 
 datlogs <- create_eventlogs(datraw,
-           xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/")
+           xmlpath = "../data/haum/ContentEyevisit/eyevisit_cards_light/",
+           glossar = TRUE)
 
 artworks <- unique(na.omit(datlogs$artwork))
 topics <- extract_topics(artworks, xmlfiles = paste0(artworks, ".xml"),
@@ -95,12 +100,14 @@ for (i in seq_len(nrow(sf))) {
 
 ## Merge data
 
-dat1 <- merge(datlogs_topics, hd, by.x = "date.start", by.y = "date", all.x = TRUE)
+datlogs_topics$date <- as.Date(datlogs_topics$date.start)
-dat2 <- merge(dat1, sfdat, by.x = "date.start", by.y = "date", all.x = TRUE)
+
+dat1 <- merge(datlogs_topics, hd, by.x = "date", by.y = "date", all.x = TRUE)
+dat2 <- merge(dat1, sfdat, by.x = "date", by.y = "date", all.x = TRUE)
 
 ## Export data
 
-write.table(dat2, paste0("../data/haum/event_logfiles_", now, ".csv"),
+write.table(dat2, paste0("../data/haum/event_logfiles_glossar_", now, ".csv"),
             sep = ";", row.names = FALSE)
 
 # TODO: Maybe add infos about artworks?

code/04_modeling_haum.R

@@ -2,22 +2,14 @@
 
 # Read data
 
-# dat0 <- read.table("../data/haum/event_logfiles_metadata_2023-09-23_01-31-30.csv",
+dat0 <- read.table("../data/haum/event_logfiles_2023-10-25_17-29-52.csv",
-#                   sep = ";", header = TRUE)
-dat0 <- read.table("../data/haum/event_logfiles_small_metadata_2023-10-19_18-25-26.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 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)
-
 table(dat0[!duplicated(dat0$trace), "event"])
-# flipCard      move openPopup openTopic 
+
-#    45528    247718       981      3457 
 proportions(table(dat0[!duplicated(dat0$trace), "event"]))
 
 tmp <- dat0[!duplicated(dat0$trace) & dat0$event %in% c("openTopic",
@@ -48,38 +40,28 @@ table(table(dat$start))
 
 summary(aggregate(duration ~ trace, dat, mean))
 
-# remove fragmented traces
-tab <- xtabs( ~ trace + event, 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", ]
+dato <- dat[dat$event != "move", ]
-tmp <- lapply(unique(dato$trace), function(x) unique(dato[dato$trace == x, "event"]))
+dato_split <- split(dato, ~ trace)
-names(tmp) <- unique(dato$trace)
+tmp <- lapply(dato_split, function(x) unique(x$event))
+#tmp <- lapply(unique(dato$trace), function(x) unique(dato[dato$trace == x, "event"]))
 
 ids <- sapply(tmp, length) == 3
-do.call(rbind, tmp[ids])
+tmp2 <- as.data.frame(do.call(rbind, tmp[ids]))
+names(tmp2) <- c("flipCard", "openTopic", "openPopup")
 
-# TODO:
+table(tmp2$flipCard)
-# fragmentary traces: for 4591 openTopic for topic 1 is in the raw log files, but gets
+table(tmp2$openTopic)
-# probably removed in close_events(); how can I prevent that? How can I fix
+table(tmp2$openPopup)
-# the traces and eventIds that do not match correctly ???
+
-ct <- c(4591, 5937, 7080, 8412, 8279)
+frag_ids <- which(tmp2$openTopic == "openPopup")
-datrm[datrm$trace %in% ct, 1:10]
+
+tmp3 <- dat[dat$trace %in% rownames(tmp2)[frag_ids], ]
+
+tmp4 <- tmp3[!tmp3$glossar == 1, ]
+
+dat6 <- rbind(dat[!dat$trace %in% rownames(tmp2)[frag_ids], ], tmp4)
 
-### WHY?????
 
 alog <- activitylog(dat,
                     case_id = "trace",