#' Extract message timestamps data from .asc files
#'
#' This function reads in data from .asc files and returns the timestamps for when the message occured.
#' Currently supports up to 3 message at a time.
#'
#' @author Martin R. Vasilev
#'
#' @param data_list Input of data files to be processed. This can be specified in three ways:
#' 1) a directory that contains all the files (it will select all files ending with ".asc",
#' and order them by participant number, if present).
#' 2) Directory to a txt file that contains all the .asc data file names inside:
#' e.g., data_list= "C:/My Data/data_list.txt".
#' In the .txt file, the directory for each .asc data file should appear on a separate row,
#' e.g.: C:/My Data/subject1.asc /n
#' C:/My Data/subject2.asc
#' 3) A directory to a single .asc file: e.g., data_list= "C:/My Data/subject1.asc".
#'
#' @param maxtrial Maximum number of trials in the experiment (default= 9999)
#'
#' @param message_name Name of the message flag in the data which needs to be extracted. If only one message
#' needs to be extracted, provide it as a string (e.g., message_name= "DISPLAY CHANGE STARTED"). If there is more
#' than one message, provide it as a vector of string (e.g., message_name= c('DISPLAY CHANGE STARTED',
#' 'DISPLAY CHANGE COMPLETED')).
#'
#' @include utility.R
ExtractMessages<- function(data_list= NULL, maxtrial= 9999, message_name= "MSG"){
# check if user provided data dir:
if(length(data_list)==0){
data_list= file.choose() # make them chose a file
message("To process multiple files, please specify a directory in 'data_list'")
}
# check file input:
if(grepl('.txt', data_list)){
data<- readLines(data_list, warn=F) # process multiple files
}else{
if(grepl('.asc', data_list)){ # if a single .asc file was provided...
data<- data_list # process only 1 file
} else{ # otherwise, it must be a dir of files
data<- get_files(data_list)
}
}
dat<- NULL
if(length(message_name)>3){
stop('Currently only up to 3 messages at a time are supported')
}
for (i in 1:length(data)){ # for each subject..
cat(sprintf("\nProcessing subject %i", i)); cat("\n")
cat(sprintf("Loading data %s ...", data[i]));
filename= data[i] #strsplit(data[i], "\\")
file<- readLines(data[i]) # load file
cat(" Done"); cat("\n")
trial_db<- trial_info(file, maxtrial= maxtrial, selectEXP = T) # extract info about trials to be processed
cat("Trial... ")
for(j in 1:nrow(trial_db)){ # for each item
temp<- data.frame(sub= NA, item= NA, cond= NA, seq= NA)
if(length(message_name)==1){
temp$MSG1<- NA
}
if(length(message_name)==2){
temp$MSG1<- NA
temp$MSG2<- NA
}
if(length(message_name)==3){
temp$MSG1<- NA
temp$MSG2<- NA
temp$MSG3<- NA
}
trialFile<- file[trial_db$ID[j]:trial_db$end[j]]
# basic info:
temp$sub<- i # subject
temp$item<- trial_db$item[j] # item
temp$cond<- trial_db$cond[j] # condition
temp$seq<- trial_db$seq[j]
#dependnum<- trial_db$depend[j]
a1<- trialFile[which(grepl(message_name[1], trialFile))]
a1<- substr(a1, 1, unlist(gregexpr(' ', a1))[1])
a1<- get_num(a1)
if(length(a1)>0){
temp$MSG1<- a1
}
if(length(message_name)==2 | length(message_name)==3){
a2<- trialFile[which(grepl(message_name[2], trialFile))]
a2<- substr(a2, 1, unlist(gregexpr(' ', a2))[1])
a2<- get_num(a2)
if(length(a2)>0){
temp$MSG2<- a2
}
}
if(length(message_name)==3){
a3<- trialFile[which(grepl(message_name[3], trialFile))]
a3<- substr(a3, 1, unlist(gregexpr(' ', a3))[1])
a3<- get_num(a3)
if(length(a3)>0){
temp$MSG3<- a3
}
}
dat<- rbind(dat, temp)
cat(toString(j)); cat(" ")
} # end of j
} # end of i
return(dat)
} # end of fun
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