current Version

put_together.jl

@@ -3,26 +3,45 @@ using CSV
 using DataFrames
 using DelimitedFiles
 
+
 path = ARGS[1]
 len = eval(Meta.parse(ARGS[2]))
 archive_path = ARGS[3]
 xname = "frequency"
 yname = "dt_earliest_pickup"
 
-lm = readdlm(path*"1.csv", ',', header=true, Any)
-file=CSV.File(path*"1.csv")
-println(file)
-df = DataFrame(file)
 
+filenames = readdir(path, join=false)
+csv_filenames = findall(x-->occursin('.csv', x), filenames)
+model_filenames = findall(x-->occursin('.model', x), filenames)
+
+df = DataFrame(csv_files[1])
 
-for i in 2:len
+
+for name in csv_filenames
     #TODO put all the generated CSV Files together into one big file which is then saved to the correct location
-    temp = DataFrame(CSV.File(path*"$i.csv"))
+    temp = DataFrame(CSV.File(path*name))
     append!(df, temp)
 end
 println("Saving Combined Dataframe to $archive_path")
 CSV.write(archive_path*"results.csv", df)
 
+
+
+println("Moving Models to $archive_path")
+try
+    mkdir("$archive_path/models/")
+catch e
+    println(e)
+end
+for name in model_filenames
+    mv(path*name, archive_path*"/models/"*name)
+end
+
+
+
+
+
 x, y = df[!,xname], df[!,yname]
 
 ks = names(df)
@@ -41,6 +60,7 @@ for name in ks
     savefig(path*"$name.png")
 end
 
+
 #TODO put all the generated models in an archive file and save it to the archiving location
 
 #TODO make Plots from the CSV files