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package main
// TODO: have logs go somewhere useful, like email
// TODO: check if images are prebinarised and if so skip multiple binarisation
import (
"errors"
"flag"
"fmt"
"log"
"os"
"os/exec"
"path/filepath"
"regexp"
"strings"
"time"
"rescribe.xyz/go.git/bookpipeline"
"rescribe.xyz/go.git/lib/hocr"
"rescribe.xyz/go.git/preproc"
)
const usage = `Usage: bookpipeline [-v] [-t training]
Watches the preprocess, ocr and analyse queues for book names. When
one is found this general process is followed:
- The book name is hidden from the queue, and a 'heartbeat' is
started which keeps it hidden (this will time out after 2 minutes
if the program is terminated)
- The necessary files from bookname/ are downloaded
- The files are processed
- The resulting files are uploaded to bookname/
- The heartbeat is stopped
- The book name is removed from the queue it was taken from, and
added to the next queue for future processing
`
const PauseBetweenChecks = 3 * time.Minute
const HeartbeatTime = 60
// null writer to enable non-verbose logging to be discarded
type NullWriter bool
func (w NullWriter) Write(p []byte) (n int, err error) {
return len(p), nil
}
type Clouder interface {
Init() error
ListObjects(bucket string, prefix string) ([]string, error)
Download(bucket string, key string, fn string) error
Upload(bucket string, key string, path string) error
CheckQueue(url string) (bookpipeline.Qmsg, error)
AddToQueue(url string, msg string) error
DelFromQueue(url string, handle string) error
QueueHeartbeat(t *time.Ticker, msgHandle string, qurl string) error
}
type Pipeliner interface {
Clouder
PreQueueId() string
OCRQueueId() string
AnalyseQueueId() string
WIPStorageId() string
GetLogger() *log.Logger
}
func download(dl chan string, process chan string, conn Pipeliner, dir string, errc chan error) {
for key := range dl {
fn := filepath.Join(dir, filepath.Base(key))
err := conn.Download(conn.WIPStorageId(), key, fn)
if err != nil {
close(process)
errc <- err
return
}
process <- fn
}
close(process)
}
func up(c chan string, done chan bool, conn Pipeliner, bookname string, errc chan error) {
for path := range c {
name := filepath.Base(path)
key := filepath.Join(bookname, name)
err := conn.Upload(conn.WIPStorageId(), key, path)
if err != nil {
errc <- err
return
}
}
done <- true
}
func preprocess(pre chan string, up chan string, errc chan error, logger *log.Logger) {
for path := range pre {
logger.Println("Preprocessing", path)
done, err := preproc.PreProcMulti(path, []float64{0.1, 0.2, 0.4, 0.5}, "binary", 0, true, 5, 30)
if err != nil {
close(up)
errc <- err
return
}
for _, p := range done {
up <- p
}
}
close(up)
}
func ocr(training string) func(chan string, chan string, chan error, *log.Logger) {
return func (toocr chan string, up chan string, errc chan error, logger *log.Logger) {
for path := range toocr {
logger.Println("OCRing", path)
name := strings.Replace(path, ".png", "", 1)
cmd := exec.Command("tesseract", "-l", training, path, name, "hocr")
err := cmd.Run()
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error ocring %s: %s", path, err))
return
}
up <- name + ".hocr"
}
close(up)
}
}
func analyse(toanalyse chan string, up chan string, errc chan error, logger *log.Logger) {
confs := make(map[string][]*bookpipeline.Conf)
bestconfs := make(map[string]*bookpipeline.Conf)
savedir := ""
for path := range toanalyse {
if savedir == "" {
savedir = filepath.Dir(path)
}
logger.Println("Calculating confidence for", path)
avg, err := hocr.GetAvgConf(path)
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error retreiving confidence for %s: %s", path, err))
return
}
base := filepath.Base(path)
codestart := strings.Index(base, "_bin")
name := base[0:codestart]
var c bookpipeline.Conf
c.Path = path
c.Code = base[codestart:]
c.Conf = avg
confs[name] = append(confs[name], &c)
}
fn := filepath.Join(savedir, "conf")
logger.Println("Saving confidences in file", fn)
f, err := os.Create(fn)
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error creating file %s: %s", fn, err))
return
}
defer f.Close()
logger.Println("Finding best confidence for each page, and saving all confidences")
for base, conf := range confs {
var best float64
for _, c := range conf {
if c.Conf > best {
best = c.Conf
bestconfs[base] = c
}
_, err = fmt.Fprintf(f, "%s\t%02.f\n", c.Path, c.Conf)
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error writing confidences file: %s", err))
return
}
}
}
up <- fn
logger.Println("Creating best file listing the best file for each page")
fn = filepath.Join(savedir, "best")
f, err = os.Create(fn)
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error creating file %s: %s", fn, err))
return
}
defer f.Close()
for _, conf := range bestconfs {
_, err = fmt.Fprintf(f, "%s\n", filepath.Base(conf.Path))
}
up <- fn
logger.Println("Creating graph")
fn = filepath.Join(savedir, "graph.png")
f, err = os.Create(fn)
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error creating file %s: %s", fn, err))
return
}
defer f.Close()
err = bookpipeline.Graph(bestconfs, filepath.Base(savedir), f)
if err != nil {
close(up)
errc <- errors.New(fmt.Sprintf("Error rendering graph: %s", err))
return
}
up <- fn
close(up)
}
func processBook(msg bookpipeline.Qmsg, conn Pipeliner, process func(chan string, chan string, chan error, *log.Logger), match *regexp.Regexp, fromQueue string, toQueue string) error {
bookname := msg.Body
t := time.NewTicker(HeartbeatTime * time.Second)
go conn.QueueHeartbeat(t, msg.Handle, fromQueue)
d := filepath.Join(os.TempDir(), bookname)
err := os.MkdirAll(d, 0755)
if err != nil {
t.Stop()
return errors.New(fmt.Sprintf("Failed to create directory %s: %s", d, err))
}
dl := make(chan string)
processc := make(chan string)
upc := make(chan string)
done := make(chan bool)
errc := make(chan error)
// these functions will do their jobs when their channels have data
go download(dl, processc, conn, d, errc)
go process(processc, upc, errc, conn.GetLogger())
go up(upc, done, conn, bookname, errc)
conn.GetLogger().Println("Getting list of objects to download")
objs, err := conn.ListObjects(conn.WIPStorageId(), bookname)
if err != nil {
t.Stop()
_ = os.RemoveAll(d)
return errors.New(fmt.Sprintf("Failed to get list of files for book %s: %s", bookname, err))
}
var todl []string
for _, n := range objs {
if !match.MatchString(n) {
conn.GetLogger().Println("Skipping item that doesn't match target", n)
continue
}
todl = append(todl, n)
}
for _, a := range todl {
dl <- a
}
close(dl)
// wait for either the done or errc channel to be sent to
select {
case err = <-errc:
t.Stop()
_ = os.RemoveAll(d)
return err
case <-done:
}
if toQueue != "" {
conn.GetLogger().Println("Sending", bookname, "to queue")
err = conn.AddToQueue(toQueue, bookname)
if err != nil {
t.Stop()
_ = os.RemoveAll(d)
return errors.New(fmt.Sprintf("Error adding to queue %s: %s", bookname, err))
}
}
t.Stop()
conn.GetLogger().Println("Deleting original message from queue")
err = conn.DelFromQueue(fromQueue, msg.Handle)
if err != nil {
_ = os.RemoveAll(d)
return errors.New(fmt.Sprintf("Error deleting message from queue: %s", err))
}
err = os.RemoveAll(d)
if err != nil {
return errors.New(fmt.Sprintf("Failed to remove directory %s: %s", d, err))
}
return nil
}
func main() {
verbose := flag.Bool("v", false, "verbose")
training := flag.String("t", "rescribealphav5", "tesseract training file to use")
flag.Usage = func() {
fmt.Fprintf(flag.CommandLine.Output(), usage)
flag.PrintDefaults()
}
flag.Parse()
var verboselog *log.Logger
if *verbose {
verboselog = log.New(os.Stdout, "", log.LstdFlags)
} else {
var n NullWriter
verboselog = log.New(n, "", log.LstdFlags)
}
origPattern := regexp.MustCompile(`[0-9]{4}.jpg$`) // TODO: match alternative file naming
preprocessedPattern := regexp.MustCompile(`_bin[0-9].[0-9].png$`)
ocredPattern := regexp.MustCompile(`.hocr$`)
var conn Pipeliner
conn = &bookpipeline.AwsConn{Region: "eu-west-2", Logger: verboselog}
verboselog.Println("Setting up AWS session")
err := conn.Init()
if err != nil {
log.Fatalln("Error setting up cloud connection:", err)
}
verboselog.Println("Finished setting up AWS session")
var checkPreQueue <-chan time.Time
var checkOCRQueue <-chan time.Time
var checkAnalyseQueue <-chan time.Time
checkPreQueue = time.After(0)
checkOCRQueue = time.After(0)
checkAnalyseQueue = time.After(0)
for {
select {
case <-checkPreQueue:
msg, err := conn.CheckQueue(conn.PreQueueId())
checkPreQueue = time.After(PauseBetweenChecks)
if err != nil {
log.Println("Error checking preprocess queue", err)
continue
}
if msg.Handle == "" {
verboselog.Println("No message received on preprocess queue, sleeping")
continue
}
err = processBook(msg, conn, preprocess, origPattern, conn.PreQueueId(), conn.OCRQueueId())
if err != nil {
log.Println("Error during preprocess", err)
}
case <-checkOCRQueue:
msg, err := conn.CheckQueue(conn.OCRQueueId())
checkOCRQueue = time.After(PauseBetweenChecks)
if err != nil {
log.Println("Error checking OCR queue", err)
continue
}
if msg.Handle == "" {
verboselog.Println("No message received on OCR queue, sleeping")
continue
}
err = processBook(msg, conn, ocr(*training), preprocessedPattern, conn.OCRQueueId(), conn.AnalyseQueueId())
if err != nil {
log.Println("Error during OCR process", err)
}
case <-checkAnalyseQueue:
msg, err := conn.CheckQueue(conn.AnalyseQueueId())
checkAnalyseQueue = time.After(PauseBetweenChecks)
if err != nil {
log.Println("Error checking analyse queue", err)
continue
}
if msg.Handle == "" {
verboselog.Println("No message received on analyse queue, sleeping")
continue
}
err = processBook(msg, conn, analyse, ocredPattern, conn.AnalyseQueueId(), "")
if err != nil {
log.Println("Error during analysis", err)
}
}
}
}
|