# Read in list of batch runs
#
#'
#'@title Take raw disMELs connectivity results and produce dfrs list
#'
#'@description Function to produce dfrs list
#'
#'@return list of dfrs
#'
#'@export
#'
#'
#require(RCurl)
#require(getStandardAttributes)
#require(getLifeStageInfo)
#source("C:/Users/Mike/Documents/Snow Crab/SnowCrabFunctions/ResultsRead/getStandardAttributes.R");
#source("C:/Users/Mike/Documents/Snow Crab/SnowCrabFunctions/ResultsRead/getLifeStageInfo.SnowCrab.R");
#source("https://github.com/torrem/SnowCrabFunctions/raw/master/BeringMap.R");
info<-getLifeStageInfo.SnowCrab();
typeNames<-factor(info$lifeStageTypes$typeName,levels=info$lifeStageTypes$typeName);#typeNames as factor levels
readResults <-function(resdr, resfn){
#read model results by java class and sort by startTime, id and time within a class
cat("\n\n-----------------\n");
cat("Reading and sorting connectivity files\n");
dfrs<-list();
for (cls in names(info$classInfo)){
cat("\tclass name:",cls,"\n");
csv<-file.path(resdr,paste0(resfn,".",cls,".csv"));
tmp<-readr::read_csv(csv,skip=1);
# qry<-"select * from tmp
# order by startTime,id,time;"
# tmps<-sqldf::sqldf(qry);
# tmps$typeName<-factor(tmps$typeName,levels=typeNames);#change typeName from character to factor
dfrs[[cls]]<-tmp;
}
#rm(csv,tmp,qry,tmps);
# #--reorder model results into list of dataframes by typeName, not java class
# dfrts<-list();
# for (typeName in typeNames){
# dfrt<-NULL;
# for (cls in names(info$classInfo)){
# idx<-dfrs[[cls]]$typeName==typeName;
# if (any(idx)){
# if (sum(idx)==length(dfrs[[cls]]$typeName)) {
# tmp<-dfrs[[cls]];
# } else {
# tmp<-dfrs[[cls]][idx,];
# }
# dfrt<-rbind(dfrt,tmp);
# }
# }
# dfrts[[typeName]]<-dfrt;
# }
# dfrs<-dfrts;#NOTE that dfrs is now dataframes by typename which are ordered by id, startTime, and time
# rm(dfrts,typeName,dfrt,cls,idx,tmp);
print(paste("Saving dfrs to:",resdr,sep=""))
save(dfrs, file=paste(resdr,"/dfrs.RData", sep=""));
#return(dfrs)
}
##testline
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