zardoz/matrix.go

package main

import (
	"fmt"
	"log"
	"sort"
	"strconv"
	"strings"
	"sync"
	"time"
)

//ByControlPlane contains all the channels we need.
type ByControlPlane struct {
	BadTokens   chan string
	GoodTokens  chan string
	StatsTokens chan string
}

//ControPlane is the variabile
var ControPlane ByControlPlane

//ByClassifier is the structure containing our Pseudo-Bayes classifier.
type ByClassifier struct {
	GOOD  sync.Map
	BAD   sync.Map
	MEH   sync.Map
	STATS sync.Map
}

//AddStats adds the statistics after proper blocking.
func (c *ByClassifier) AddStats(action string) {

	var one int64 = 1

	if v, ok := c.STATS.Load(action); ok {
		c.STATS.Store(action, v.(int64)+1)
	} else {
		c.STATS.Store(action, one)
	}

}

//IsBAD inserts a bad key in the right place.
func (c *ByClassifier) IsBAD(key string) {

	if _, ok := c.MEH.Load(key); ok {
		c.MEH.Store(key, time.Now().UnixNano())
		return
	}

	if _, ok := c.GOOD.Load(key); ok {
		c.MEH.Store(key, time.Now().UnixNano())
		c.GOOD.Delete(key)
		return
	}

	if _, ok := c.BAD.Load(key); ok {
		c.BAD.Store(key, time.Now().UnixNano())
		return
	}

	c.BAD.Store(key, time.Now().UnixNano())

}

//IsGOOD inserts the key in the right place.
func (c *ByClassifier) IsGOOD(key string) {

	if _, ok := c.MEH.Load(key); ok {
		c.MEH.Store(key, time.Now().UnixNano())
		return
	}

	if _, ok := c.BAD.Load(key); ok {
		c.MEH.Store(key, time.Now().UnixNano())
		c.BAD.Delete(key)
		return
	}

	if _, ok := c.GOOD.Load(key); ok {
		c.GOOD.Store(key, time.Now().UnixNano())
		return
	}

	c.GOOD.Store(key, time.Now().UnixNano())

}

//Posterior calculates the posterior probabilities in pseudo-bayes.
func (c *ByClassifier) Posterior(hdr string) map[string]float64 {

	headers := strings.Fields(sanitizeHeaders(hdr))

	var result = make(map[string]float64)
	result["BAD"] = 0
	result["GOOD"] = 0

	var tmpResGood, tmpResBad, tmpTotal float64

	for _, token := range headers {

		if _, ok := c.BAD.Load(token); ok {
			tmpResBad++
			tmpTotal++
		}

		if _, ok := c.GOOD.Load(token); ok {
			tmpResGood++
			tmpTotal++
		}

	}

	if tmpTotal == 0 {
		tmpTotal = 1
	}

	log.Printf("Bad Tokens: %f, Good Tokens %f , Total %f\n", tmpResBad, tmpResGood, tmpTotal)

	result["BAD"] = tmpResBad / tmpTotal
	result["GOOD"] = tmpResGood / tmpTotal

	return result

}

//Janitor keeps the maps under a certain size, keeping the biggest values.
func (c *ByClassifier) Janitor(size int) {

	log.Println("Janitor Running")

	sortMap(&c.BAD, size)

	sortMap(&c.GOOD, size)

	sortMap(&c.MEH, size)

	log.Println("Janitor Finished.")

}

//CleanThread is the Janitor thread
func (c *ByClassifier) CleanThread() {

	for {

		MaxSize, err := strconv.Atoi(fmt.Sprintf("%d", Maturity))
		if err != nil {
			MaxSize = 1000
			log.Println("Maxsize converted to: ", MaxSize)
		}

		log.Println("Janitor Maxsize is now:", MaxSize)

		time.Sleep(10 * time.Second)
		c.Janitor(MaxSize)
	}
}

func (c *ByClassifier) enroll() {

	ControPlane.BadTokens = make(chan string, 2048)
	ControPlane.GoodTokens = make(chan string, 2048)
	ControPlane.StatsTokens = make(chan string, 2048)

	c.IsBAD("Penis")
	c.IsGOOD("Gun")
	c.MEH.Store("Dildo", time.Now().UnixNano())

	go c.readBadTokens()
	go c.readGoodTokens()
	go c.readStatsTokens()

	log.Println("Classifier populated...")
	go c.CleanThread()
	log.Println("Janitor Started")

}

func sortMap(unsorted *sync.Map, size int) {

	type Myt struct {
		Name string
		Num  int64
	}

	var tempCont []Myt
	var tc Myt

	unsorted.Range(func(key interface{}, value interface{}) bool {
		tc.Name = key.(string)
		tc.Num = value.(int64)
		tempCont = append(tempCont, tc)
		return true
	})

	sort.Slice(tempCont, func(i, j int) bool { return tempCont[i].Num > tempCont[j].Num })

	if len(tempCont) > size {
		tempCont = tempCont[:size]
	}

	unsorted.Range(func(key interface{}, value interface{}) bool {
		unsorted.Delete(key)
		return true
	})

	for _, val := range tempCont {
		unsorted.Store(val.Name, val.Num)
	}

}

func (c *ByClassifier) readBadTokens() {

	log.Println("Start reading BAD tokens")

	for token := range ControPlane.BadTokens {
		c.IsBAD(token)
	}

}

func (c *ByClassifier) readGoodTokens() {

	log.Println("Start reading GOOD tokens")

	for token := range ControPlane.GoodTokens {
		c.IsGOOD(token)
	}

}

func (c *ByClassifier) readStatsTokens() {

	log.Println("Start reading STATS tokens")

	for token := range ControPlane.StatsTokens {
		c.AddStats(token)
	}

}