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// Copyright 2020 Nick White.
// Use of this source code is governed by the GPLv3
// license that can be found in the LICENSE file.
// analysestats analyses a set of 'best', 'conf', and 'hocr' files
// in a directory, outputting results to a .csv file for further
// investigation.
package main
import (
"encoding/csv"
"encoding/xml"
"flag"
"fmt"
"io/ioutil"
"log"
"os"
"path/filepath"
"strings"
"strconv"
)
const usage = `Usage: analysestats statsdir csvfile
analysestats analyses a set of 'best', 'conf', and 'hocr' files
in the 'statsdir' directory, outputting results to the 'csvfile'
file in CSV format for further investigation.
`
// stat represents key stats / metadata for a book
type stat struct {
mean float64
stddev float64
training string
year int
}
// Bookstats is a map of the stats attached to each book (key is book name)
type Bookstats = map[string]*stat
type hocrPars struct {
Par []struct {
Lang string `xml:"lang,attr"`
} `xml:"body>div>div>p"`
}
// getTrainingUsed parses a hOCR file to find the training
// file used to create it.
func getTrainingUsed(hocrfn string) (string, error) {
b, err := ioutil.ReadFile(hocrfn)
if err != nil {
return "", err
}
var par hocrPars
err = xml.Unmarshal(b, &par)
if err != nil {
return "", err
}
if len(par.Par) < 1 {
return "", fmt.Errorf("No <p> tags found")
}
return par.Par[0].Lang, nil
}
// walker returns a walkfunc that checks for hocr and best files,
// and uses them to fill the bookstats map & structure. Note that
// the stat file is read when the best file is read, as they need
// to be parsed together to get the statistics we're interested
// in.
func walker(bookstats *Bookstats) filepath.WalkFunc {
return func(fpath string, info os.FileInfo, err error) error {
if err != nil {
return err
}
if info.IsDir() {
return nil
}
b := filepath.Base(fpath)
parts := strings.Split(b, "-")
// if no - or name is too short to have a useful prefix, bail
if len(parts) < 2 || len(b) < 6 {
return nil
}
prefix := b[0:len(b)-6] // 6 is length of '-hocr' + 1
ext := parts[len(parts)-1]
if ext != "hocr" && ext != "best" {
return nil
}
var year int
parts2 := strings.Split(b, "_")
if len(parts2) > 2 {
// we can ignore an error as a zero year is correct in that case anyway
year, _ = strconv.Atoi(parts2[0])
}
_, ok := (*bookstats)[prefix]
if !ok {
(*bookstats)[prefix] = &stat{year: year}
}
switch ext {
case "hocr":
training, err := getTrainingUsed(fpath)
if err != nil {
log.Printf("Warning: failed to get training used from %s: %v\n", fpath, err)
return nil
}
(*bookstats)[prefix].training = training
case "best":
// TODO: read conf also and fill in mean and stddev
}
return nil
}
}
func main() {
flag.Usage = func() {
fmt.Fprintf(flag.CommandLine.Output(), usage)
flag.PrintDefaults()
}
flag.Parse()
if flag.NArg() != 2 {
flag.Usage()
os.Exit(1)
}
info, err := os.Stat(flag.Arg(0))
if err != nil || !info.IsDir() {
log.Fatalln("Error accessing directory", flag.Arg(0), err)
}
var bookstats Bookstats
bookstats = make(Bookstats)
err = filepath.Walk(flag.Arg(0), walker(&bookstats))
if err != nil {
log.Fatalln("Failed to walk", flag.Arg(0), err)
}
f, err := os.Create(flag.Arg(1))
if err != nil {
log.Fatalf("Failed to create file %s: %v\n", flag.Arg(1), err)
}
defer f.Close()
csvw := csv.NewWriter(f)
csvw.Write([]string{"Name", "Year", "Mean", "Standard Deviation", "Training"})
for name, stats := range bookstats {
year := fmt.Sprintf("%d", stats.year)
mean := fmt.Sprintf("%0.1f", stats.mean)
stddev := fmt.Sprintf("%0.1f", stats.stddev)
err = csvw.Write([]string{name, year, mean, stddev, stats.training})
if err != nil {
log.Fatalf("Failed to write record %s to csv: %v\n", name, err)
}
}
csvw.Flush()
}
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