1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
|
// 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"
"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() > 2 {
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)
}
var conn Pipeliner
// TODO: set tmpdir to a specific random thing for this run only
conn = &bookpipeline.LocalConn{Logger: verboselog}
conn.Log("Setting up session")
err := conn.Init()
if err != nil {
log.Fatalln("Error setting up connection:", err)
}
conn.Log("Finished setting up session")
uploadbook(bookdir, bookname, *training, conn)
processbook(*training, conn)
// TODO: save book
}
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 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
}
}
}
|