// 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([]float64{0.1, 0.2, 0.3}), 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 } } }