import java.io.File;
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.FileReader;
import java.io.FileWriter;
import java.util.*;
public class javaAccuracyCalculator{
					
	//Read in log.txt, grab first item in array of each line
	//Counter for everytime have readline
	//Calculate accuracy rate
    public static void main(String[] args) {   	
        try {
			if (args.length != 3) {
			System.out.println("Usage: imageClassifier <inputFilename> <classifierType> <outputFilename>");
			}
			else {
				Date d = new Date();
				String inputFilename = args[0];
				String classifierType = args[1];
				String outputFilename = args[2];
				FileReader fileReader = new FileReader(inputFilename);
				BufferedReader buf = new BufferedReader(fileReader);
				FileWriter fw = new FileWriter(outputFilename,true);
				String line = null;
				String[] item;
				float trueAccuracyRate   =0;
				float falseAccuracyRate  =0;
				float overallAccuracyRate=0;
				String notApplicable = "N/A";
				//
				int sheetMusicCount	= 0;
				int notSheetMusicCount	= 0;
				//
				int truePositive	= 0;
				int trueNegative	= 0;
				//
				int falsePositive  	= 0;
				int falseNegative 	= 0;				

				//Splits into each record, since readLine splits by "\n"
				while ((line = buf.readLine()) != null) {
					item = line.split("\t");		
					//Calculate AccuracyRates
					if(item[1].contains("/SheetMusic/")){
						sheetMusicCount++;
						if(item[3].equals("true")){
							truePositive++;
						}
						else if(item[3].equals("false") || item[3].equals("null")){
							falseNegative++;
						}
						else {
							System.err.println("Error log file");
						}
					}
					if(item[1].contains("/NotSheetMusic/")){
						notSheetMusicCount++;
						if(item[3].equals("true")){
							falsePositive++;
						}
						else if(item[3].equals("false")|| item[3].equals("null")){
							trueNegative++;
						}
						else{
							System.err.println("Error log file");
						}
					}						
				}
				
				
				//Correctly identified SheetMusic as SheetMusic
				
				//TruthAccuracyRate
				if(sheetMusicCount != 0){
					trueAccuracyRate = ((float)truePositive/(float)sheetMusicCount)*(float)100;
				}
				else {
					trueAccuracyRate = 0;
				}
				
				//FalseAccuracyRate
				if(notSheetMusicCount != 0){
					//Amount of Correctly identified NotSheetSheetMusic as NotSheetMusic
					falseAccuracyRate = ((float)trueNegative/(float)notSheetMusicCount)*(float)100;
				}
				else {
					falseAccuracyRate = 0;
				}
				
				//Overall accuaracy
				if(notSheetMusicCount != 0 && sheetMusicCount != 0) {
					overallAccuracyRate = (truePositive + trueNegative)/(float)(sheetMusicCount+notSheetMusicCount)*(float)100;
				}
				else if (sheetMusicCount == 0) {
					trueAccuracyRate = -1;
					overallAccuracyRate = falseAccuracyRate;
				}
				else if(notSheetMusicCount == 0) {
					falseAccuracyRate = -1;
					overallAccuracyRate = trueAccuracyRate;
				}
				else {
					overallAccuracyRate = -1;
					System.out.println("There is nothing to compare");
				}
				if(falseAccuracyRate ==-1){
					fw.write("Date: " + d.toString() + '\n'
						+ "Classifier: " + classifierType + '\n' 
						+ "truePositive: " 	+ truePositive + '\n' 
						+ "falseNegative: " + falseNegative + '\n'
						+ "falsePositve: " 	+ falsePositive + '\n'  
						+ "trueNegative: " 	+ trueNegative + '\n'
						+ "SheetMusicAccuracyRate: " 	+ trueAccuracyRate + "%" + '\n'
						+ "NotSheetMusicAccuracyRate: " + notApplicable + '\n'
						+ "OverallAccuracyRate: " 		+ overallAccuracyRate + "%" + '\n');					
				}
				else if(trueAccuracyRate == -1){	
					fw.write("Date: " + d.toString() + '\n'
						+ "Classifier: " + classifierType + '\n' 
						+ "truePositive: " 	+ truePositive + '\n' 
						+ "falseNegative: " + falseNegative + '\n'
						+ "falsePositve: " 	+ falsePositive + '\n'  
						+ "trueNegative: " 	+ trueNegative + '\n'
						+ "SheetMusicAccuracyRate: " 	+ notApplicable + '\n'
						+ "NotSheetMusicAccuracyRate: " + falseAccuracyRate + "%" + '\n'
						+ "OverallAccuracyRate: " 		+ overallAccuracyRate + "%" + '\n');					
				}
				else{
					fw.write("Date: " + d.toString() + '\n'
						+ "Classifier: " + classifierType + '\n' 
						+ "truePositive: " 	+ truePositive + '\n' 
						+ "falseNegative: " + falseNegative + '\n'
						+ "falsePositve: " 	+ falsePositive + '\n'  
						+ "trueNegative: " 	+ trueNegative + '\n'
						+ "SheetMusicAccuracyRate: " 	+ trueAccuracyRate + "%" + '\n'
						+ "NotSheetMusicAccuracyRate: " + falseAccuracyRate + "%" + '\n'
						+ "OverallAccuracyRate: " 		+ overallAccuracyRate + "%" + '\n');
				}		
				buf.close();
				fw.close();								
			}
        }
        catch(Exception e){
            System.err.println(e);
        }
    }  
 
}