DRViD.ca » Audio

By: Drvid  09-12-2011

For anyone that doesn’t know, the CNIB runs a huge library of braille, e-text and digital talking (audio) books for it’s clients. This was an interesting place to work and I took pride in helping their aims of providing accessible information to visually impaired users across Canada.

batch_transform.py

# batch_transform.py
# runs 'insert notice' XSLT transformations on a folder of valid DAISY 2.02 books
# copies all markup and moves all audio files into 'withSectionsAddded' subfolders

## to do: recalculate ncc:kByteSize & ncc:files to make it valid?

import daisy_files
import daisy_html
import subprocess
import shutil
import os

# set folder to transform here
fresh = r'E:\RNIB'

# list of which found book versions will be transformed
transformable = ('decoded','merged','DAISY')

# set dependancy paths and global variables
xslt = r'E:\DaisyTools\daisy_rnib_mod.xsl'
header = r'E:\RNIB\about_this_daisy_64.mp3'
footer = r'E:\RNIB\this_concludes_64.mp3'
saxon8 = r'C:\Program Files\Saxon\saxon8.jar'
folder = 'withSectionsAdded'

output_plant = open(os.path.join(fresh,r'joblist_dtb_planter.xml'),'a+')
output_regen = open(os.path.join(fresh,r'joblist_regenerator.xml'),'a+')

books = 0
skipped = 0
transformed = 0

print "\n Transforming DAISY books with '%s'\n" % xslt

for book in daisy_files.get_folders(fresh):

  books += 1
  target_exists = False
  versions = daisy_files.get_versions(book)

  if len(versions) > 0:
    for version in versions:

      smil_temp = os.path.join(version,'temp.xml')
      ncc_source = os.path.join(version,'ncc.html')
      target = os.path.join(version,folder)

      if os.path.isdir(target) and len(os.listdir(target)) > 0:
        skipped += 1
        target_exists = True
        print '\n Skipping..\n\t',target

      if folder in os.path.basename(version) and len(os.listdir(version)) > 1:
        target_exists = True

      if version.endswith(transformable) and not target_exists:
        target_about = os.path.join(target,'about_this_daisy.mp3')
        target_concludes = os.path.join(target,'this_concludes.mp3')
        planter = os.path.join(target,'regenerated')
        print "\n Creaing '%s' in ..\n\t%s" % (folder, version)

        if not os.path.exists(target):
          os.mkdir(target)

        # spawn saxon java transformer process
        transformer = subprocess.call(['java','-classpath',saxon8,'-jar',saxon8,'-o',smil_temp,ncc_source,xslt],shell=True)

        # copy or move all audio files to output
        for file in os.listdir(version):

          if file.endswith('.mp3'):
            print '\t',file
            source = os.path.join(version,file)
            shutil.copy(source,target)

          if file.endswith('.wav'):
            print '\t',file
            source = os.path.join(version,file)
            shutil.move(source,target)

        print '\t',os.path.basename(target_about)
        shutil.copyfile(header, target_about)

        print '\t',os.path.basename(target_concludes)
        shutil.copyfile(footer, target_concludes)

        # append job lines to XML batch files
        print >> output_regen, (r'%s' % os.path.join(target,'ncc.html'))
        print >> output_plant, (r'' % os.path.join(planter,'ncc.html'))

        transformed += 1

output_plant.close()
output_regen.close()

print '\n %s of %s books found were skipped' % (skipped,books)
print ' %s of %s books found were transformed' % (transformed,books)

Another sample below, simply decodes DAISY books from MP3 to WAV and updates references in SMIL/HTML files accordingly. Part of our goal was to re-encode RNIB’s higher bitrate DTBs to a smaller 56Kbps.

batch_decode.py

#!/usr/bin/env python

# batch_decode.py
# decompresses a whole folder of DAISYs (MP3 to WAV) and updates
# their SMIL files accordingly, skipping those already decoded
# to do:
  # encoded list works on first filesystem match
  # instead of the first item in the list

import os, shutil, re, daisy_files

# set the folder of DAISYs to decode/decompress here..
decodes = r'E:\RNIB-Odd'

# priority list of which found versions will be decoded, use caution
encoded = ['withSectionsAdded','merged']

print '\n Decoding compressed DAISY books from MP3 to WAVE\n'

def update_smil(i, o):
  input = open(i)
  output = open(o, 'w')
  for line in input:
    output.write(re.sub('.mp3"', '.wav"', line))
  input.close()
  output.close()

for book in daisy_files.get_folders(decodes):

  versions = daisy_files.get_versions(book)
  target_exists = True
  target = os.path.join(book,'unencoded')
  decode = False
  source = []

  # find decode version candidate
  for candidate in encoded:
    for version in versions:
      if candidate in version:
        source = daisy_files.get_paths(version)
        decode = True
        target_exists = False
        break

  # skip already decoded books
  if os.path.exists(target) and len(os.listdir(target)) > 0:
    target_exists = True
    decode = False
    print ' Skipping..','\t',target
    pass

  if not target_exists and decode:
    print " Creating..\t" + target
    os.mkdir(target)

  for item in source:

    if os.path.isfile(item) and item.endswith('.mp3'):
      wave = os.path.join(target, os.path.basename(item[:-4] + '.wav'))
      print '\n Decoding..\t' + item
      print ' ->\t\t' + wave
      ## os.spawnl(os.P_WAIT, 'lame.exe', 'lame.exe', '--decode', '--verbose', '"' + item + '"', '"' + wave + '"')
      os.spawnl(os.P_WAIT, r'madplay.exe', r'madplay.exe', '-m', '-v', '--sample-rate=22050', '"' + item + '"', '"-owave:' + wave + '"')

    elif os.path.isfile(item):
      if item.endswith('.smil') and os.path.basename(item) != 'master.smil':
        smile = os.path.join(target, os.path.basename(item))
        print ' Updating..\t' + smile
        update_smil(item, smile)
      else:
        copied = os.path.join(target,os.path.basename(item))
        print ' Copying..\t' + copied
        shutil.copy(item, target)

These scripts won’t actually do much on their own so I’ve created a zip including all of the dependancies. Keep in mind I left it as a work in progress with the e-Publishing and Recording studio departments. The last semi-complete feature was simple TSV style database tracking of the titles I was working on.


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