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// Copyright 2019 Nick White.
// Use of this source code is governed by the GPLv3
// license that can be found in the LICENSE file.
// rescribe is a modification of bookpipeline designed for local-only
// operation, which rolls uploading, processing, and downloading of
// a single book by the pipeline into one command.
package main
import (
"flag"
"fmt"
"io/ioutil"
"log"
"os"
"path/filepath"
"regexp"
"time"
"rescribe.xyz/bookpipeline"
"rescribe.xyz/bookpipeline/internal/pipeline"
)
const usage = `Usage: rescribe [-v] [-t training] bookdir
Process and OCR a book using the Rescribe pipeline on a local machine.
`
const QueueTimeoutSecs = 2 * 60
const PauseBetweenChecks = 1 * time.Second
const LogSaveTime = 1 * time.Minute
// 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, timeout int64) (bookpipeline.Qmsg, error)
AddToQueue(url string, msg string) error
DelFromQueue(url string, handle string) error
QueueHeartbeat(msg bookpipeline.Qmsg, qurl string, duration int64) (bookpipeline.Qmsg, error)
}
type Pipeliner interface {
Clouder
PreQueueId() string
WipeQueueId() string
OCRPageQueueId() string
AnalyseQueueId() string
WIPStorageId() string
GetLogger() *log.Logger
Log(v ...interface{})
}
func stopTimer(t *time.Timer) {
if !t.Stop() {
<-t.C
}
}
func resetTimer(t *time.Timer, d time.Duration) {
if d > 0 {
t.Reset(d)
}
}
func main() {
verbose := flag.Bool("v", false, "verbose")
training := flag.String("t", "rescribealphav5", "default tesseract training file to use (without the .traineddata part)")
flag.Usage = func() {
fmt.Fprintf(flag.CommandLine.Output(), usage)
flag.PrintDefaults()
}
flag.Parse()
if flag.NArg() < 1 || flag.NArg() > 3 {
flag.Usage()
return
}
bookdir := flag.Arg(0)
var bookname string
if flag.NArg() > 1 {
bookname = flag.Arg(1)
} else {
bookname = filepath.Base(bookdir)
}
var verboselog *log.Logger
if *verbose {
verboselog = log.New(os.Stdout, "", 0)
} else {
var n NullWriter
verboselog = log.New(n, "", 0)
}
tempdir, err := ioutil.TempDir("", "bookpipeline")
if err != nil {
log.Fatalln("Error setting up temporary directory:", err)
}
var conn Pipeliner
conn = &bookpipeline.LocalConn{Logger: verboselog, TempDir: tempdir}
conn.Log("Setting up session")
err = conn.Init()
if err != nil {
log.Fatalln("Error setting up connection:", err)
}
conn.Log("Finished setting up session")
fmt.Printf("Copying book to pipeline\n")
err = uploadbook(bookdir, bookname, *training, conn)
if err != nil {
log.Fatalln(err)
}
fmt.Printf("Processing book (this may take some time)\n")
processbook(*training, conn)
fmt.Printf("Saving finished book to %s\n", bookname)
err = downloadbook(bookname, conn)
if err != nil {
log.Fatalln(err)
}
err = os.RemoveAll(tempdir)
if err != nil {
log.Fatalf("Error removing temporary directory %s: %v", tempdir, err)
}
}
func uploadbook(dir string, name string, training string, conn Pipeliner) error {
err := pipeline.CheckImages(dir)
if err != nil {
return fmt.Errorf("Error with images in %s: %v", dir, err)
}
err = pipeline.UploadImages(dir, name, conn)
if err != nil {
return fmt.Errorf("Error saving images to process from %s: %v", dir, err)
}
qid := pipeline.DetectQueueType(dir, conn)
if training != "" {
name = name + " " + training
}
err = conn.AddToQueue(qid, name)
if err != nil {
return fmt.Errorf("Error adding book job to queue %s: %v", qid, err)
}
return nil
}
func downloadbook(name string, conn Pipeliner) error {
err := os.MkdirAll(name, 0755)
if err != nil {
log.Fatalln("Failed to create directory", name, err)
}
err = pipeline.DownloadBestPages(name, conn)
if err != nil {
return fmt.Errorf("Error downloading best pages: %v", err)
}
err = pipeline.DownloadPdfs(name, conn)
if err != nil {
return fmt.Errorf("Error downloading PDFs: %v", err)
}
err = pipeline.DownloadAnalyses(name, conn)
if err != nil {
return fmt.Errorf("Error downloading analyses: %v", err)
}
return nil
}
func processbook(training string, conn Pipeliner) {
origPattern := regexp.MustCompile(`[0-9]{4}.jpg$`)
wipePattern := regexp.MustCompile(`[0-9]{4,6}(.bin)?.png$`)
ocredPattern := regexp.MustCompile(`.hocr$`)
var checkPreQueue <-chan time.Time
var checkWipeQueue <-chan time.Time
var checkOCRPageQueue <-chan time.Time
var checkAnalyseQueue <-chan time.Time
var stopIfQuiet *time.Timer
checkPreQueue = time.After(0)
checkWipeQueue = time.After(0)
checkOCRPageQueue = time.After(0)
checkAnalyseQueue = time.After(0)
var quietTime = 1 * time.Second
stopIfQuiet = time.NewTimer(quietTime)
if quietTime == 0 {
stopIfQuiet.Stop()
}
for {
select {
case <-checkPreQueue:
msg, err := conn.CheckQueue(conn.PreQueueId(), QueueTimeoutSecs)
checkPreQueue = time.After(PauseBetweenChecks)
if err != nil {
conn.Log("Error checking preprocess queue", err)
continue
}
if msg.Handle == "" {
conn.Log("No message received on preprocess queue, sleeping")
continue
}
conn.Log("Message received on preprocess queue, processing", msg.Body)
stopTimer(stopIfQuiet)
err = pipeline.ProcessBook(msg, conn, pipeline.Preprocess, origPattern, conn.PreQueueId(), conn.OCRPageQueueId())
resetTimer(stopIfQuiet, quietTime)
if err != nil {
conn.Log("Error during preprocess", err)
}
case <-checkWipeQueue:
msg, err := conn.CheckQueue(conn.WipeQueueId(), QueueTimeoutSecs)
checkWipeQueue = time.After(PauseBetweenChecks)
if err != nil {
conn.Log("Error checking wipeonly queue", err)
continue
}
if msg.Handle == "" {
conn.Log("No message received on wipeonly queue, sleeping")
continue
}
stopTimer(stopIfQuiet)
conn.Log("Message received on wipeonly queue, processing", msg.Body)
err = pipeline.ProcessBook(msg, conn, pipeline.Wipe, wipePattern, conn.WipeQueueId(), conn.OCRPageQueueId())
resetTimer(stopIfQuiet, quietTime)
if err != nil {
conn.Log("Error during wipe", err)
}
case <-checkOCRPageQueue:
msg, err := conn.CheckQueue(conn.OCRPageQueueId(), QueueTimeoutSecs)
checkOCRPageQueue = time.After(PauseBetweenChecks)
if err != nil {
conn.Log("Error checking OCR Page queue", err)
continue
}
if msg.Handle == "" {
continue
}
// Have OCRPageQueue checked immediately after completion, as chances are high that
// there will be more pages that should be done without delay
checkOCRPageQueue = time.After(0)
stopTimer(stopIfQuiet)
conn.Log("Message received on OCR Page queue, processing", msg.Body)
err = pipeline.OcrPage(msg, conn, pipeline.Ocr(training), conn.OCRPageQueueId(), conn.AnalyseQueueId())
resetTimer(stopIfQuiet, quietTime)
if err != nil {
conn.Log("Error during OCR Page process", err)
}
case <-checkAnalyseQueue:
msg, err := conn.CheckQueue(conn.AnalyseQueueId(), QueueTimeoutSecs)
checkAnalyseQueue = time.After(PauseBetweenChecks)
if err != nil {
conn.Log("Error checking analyse queue", err)
continue
}
if msg.Handle == "" {
conn.Log("No message received on analyse queue, sleeping")
continue
}
stopTimer(stopIfQuiet)
conn.Log("Message received on analyse queue, processing", msg.Body)
err = pipeline.ProcessBook(msg, conn, pipeline.Analyse(conn), ocredPattern, conn.AnalyseQueueId(), "")
resetTimer(stopIfQuiet, quietTime)
if err != nil {
conn.Log("Error during analysis", err)
}
case <-stopIfQuiet.C:
conn.Log("Processing finished")
return
}
}
}
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