package main

import (
	"fmt"
	"mapreduce"
	"os"
	"strings"
	"unicode"
	"strconv"
)

// The mapping function is called once for each piece of the input.
// In this framework, the key is the name of the file that is being processed,
// and the value is the file's contents. The return value should be a slice of
// key/value pairs, each represented by a mapreduce.KeyValue.
func mapF(document string, value string) (res []mapreduce.KeyValue) {
	// TODO: you have to write this function
	dict := make(map[string]int)
	words := strings.Fields(value)
	cleanWord := ""

    for _, word := range words {
       for _, char := range word {
         if unicode.IsLetter(char) {
             cleanWord += string(char)
        } else {
            if cleanWord != "" {
                dict[cleanWord]++
                cleanWord = ""
            }
        }
    }
    if cleanWord != "" {
        dict[cleanWord]++
        cleanWord = "" }
    }
	var ans []mapreduce.KeyValue
	for word, count := range  dict{
		ans = append(ans, mapreduce.KeyValue{word, strconv.Itoa(count)})
	}
	return ans
}
// The reduce function is called once for each key generated by Map, with a
// list of that key's string value (merged across all inputs). The return value
// should be a single output value for that key.
func reduceF(key string, values []string) string {
	// TODO: you also have to write this function
	summ := 0
	for _, value := range values {
		value, err := strconv.Atoi(value)
		if err !=nil{
			continue
		}
		summ += value
	}
	result := strconv.Itoa(summ)
	return result
}


// Can be run in 3 ways:
// 1) Sequential (e.g., go run wc.go master sequential x1.txt .. xN.txt)
// 2) Master (e.g., go run wc.go master localhost:7777 x1.txt .. xN.txt)
// 3) Worker (e.g., go run wc.go worker localhost:7777 localhost:7778 &)
func main() {
	if len(os.Args) < 4 {
		fmt.Printf("%s: see usage comments in file\n", os.Args[0])
	} else if os.Args[1] == "master" {
		var mr *mapreduce.Master
		if os.Args[2] == "sequential" {
			mr = mapreduce.Sequential("wcseq", os.Args[3:], 3, mapF, reduceF)
		} else {
			mr = mapreduce.Distributed("wcseq", os.Args[3:], 3, os.Args[2])
		}
		mr.Wait()
	} else {
		mapreduce.RunWorker(os.Args[2], os.Args[3], mapF, reduceF, 100)
	}
}