func PrintMailBoxStat(client *pop3.Client) error {
mailCount, mailBoxSize, err := client.Stat()
if err != nil {
return err
}
fmt.Printf("Account:%s, MailCount:%d, MailBoxSize:%s\n", username, mailCount, fileutil.Humanize(uint64(mailBoxSize)))
return nil
}
func main() {
classifier := bayesian.NewClassifier(Good, Bad)
tokenizer, err := goseg.NewTokenizerFromFile(dictDataFilePath)
if err != nil {
log.Fatal(err)
}
for _, item := range trainingData {
log.Printf("Traning %s", item.folder)
totalNum := 0
var totalSize int64
startTime := time.Now()
fis, err := ioutil.ReadDir(item.folder)
if err != nil {
log.Fatal(err)
}
for _, fi := range fis {
if fi.IsDir() {
continue
}
totalSize += fi.Size()
filePath := filepath.Join(item.folder, fi.Name())
mail := mailfile.NewPOP3Mail(filePath)
if err = mail.Parse(); err != nil {
log.Fatal(err)
}
post, err := mailpost.Parse(mail)
mail.Close()
if err != nil {
log.Fatalf("Err: %v, Mail:%s", err, mail.Path())
}
words := analyzer.Normalize(tokenizer.Cut([]rune(post.Subject+" "+post.Content)), cutset)
classifier.Learn(words, item.class)
totalNum += 1
}
elapsed := time.Now().Sub(startTime)
fmt.Printf("TotalNum: %d\n", totalNum)
fmt.Printf("Elapsed: %s, TPS(Mail): %f, TPS(FileSize): %s\n",
time.Now().Sub(startTime),
float64(totalNum)/(float64(elapsed)/float64(time.Second)),
fileutil.Humanize(uint64(float64(totalSize)/(float64(elapsed)/float64(time.Second)))))
}
classifier.WriteToFile(output)
}
func main() {
log.Printf("Mail all mails from %s to %s", folder, recipient)
totalNum := 0
var totalSize int64
startTime := time.Now()
fis, err := ioutil.ReadDir(folder)
checkErr(err)
auth := smtp.PlainAuth(
"",
user,
passoword,
smtpServer,
)
clients, err := NewSmtpClient(smtpServer+":"+strconv.Itoa(port), auth, concurrency)
checkErr(err)
defer clients.Close()
wg := &sync.WaitGroup{}
for _, fi := range fis {
if fi.IsDir() {
continue
}
totalSize += fi.Size()
totalNum += 1
filePath := filepath.Join(folder, fi.Name())
rawBody, err := ioutil.ReadFile(filePath)
checkErr(err)
wg.Add(1)
go func() {
err = clients.SendMail(
from,
[]string{recipient},
rawBody,
)
checkErr(err)
wg.Done()
}()
}
wg.Wait()
elapsed := time.Now().Sub(startTime)
fmt.Printf("TotalNum: %d, Elapsed: %s, TPS(Mail): %f, TPS(FileSize): %s\n",
totalNum,
time.Now().Sub(startTime),
float64(totalNum)/(float64(elapsed)/float64(time.Second)),
fileutil.Humanize(uint64(float64(totalSize)/(float64(elapsed)/float64(time.Second)))))
}
func main() {
anlz, err := analyzer.NewBayesianAnalyzer(traningDataFilePath, dictDataFilePath)
if err != nil {
log.Fatal(err)
}
for _, item := range testData {
log.Printf("Testing %s", item.folder)
totalNum, totalError, totalNeutral := 0, 0, 0
var totalSize int64
fis, err := ioutil.ReadDir(item.folder)
if err != nil {
log.Fatal(err)
}
startTime := time.Now()
for _, fi := range fis {
if fi.IsDir() {
continue
}
totalSize += fi.Size()
totalNum += 1
mailFilePath := filepath.Join(item.folder, fi.Name())
mail := mailfile.NewPOP3Mail(mailFilePath)
if err = mail.Parse(); err != nil {
log.Fatal(err)
}
post, err := mailpost.Parse(mail)
mail.Close()
if err != nil {
log.Fatalf("Err: %v, Mail:%s", err, mail.Path())
}
class := anlz.Test(post.Subject + " " + post.Content)
switch {
case analyzer.Neutral == class:
totalNeutral += 1
fmt.Println(ansi.Color(mailFilePath, "cyan+b"))
case item.class != class:
totalError += 1
fmt.Println(ansi.Color(mailFilePath, "red+b"))
}
}
elapsed := time.Now().Sub(startTime)
fmt.Printf("TotalNum: %d, TotalError: %d, ErrRate: %f, TotalNeutral:%d, Confident:%f\n",
totalNum, totalError, float64(totalError)/float64(totalNum), totalNeutral, float64(totalNum-totalNeutral)/float64(totalNum))
fmt.Printf("Elapsed: %s, TPS(Mail): %f, TPS(FileSize): %s\n",
time.Now().Sub(startTime),
float64(totalNum)/(float64(elapsed)/float64(time.Second)),
fileutil.Humanize(uint64(float64(totalSize)/(float64(elapsed)/float64(time.Second)))))
}
}