bash scripting: playlist maker

Summary

Decided to take another stab at converting small programs to bash. This time, the python playlist maker was updated to bash and greatly simplified, no longer need to do sketchy recursions.

For those who want to dive right in, the script is included here (or see the end of the article for full script):

bash playlist maker

A little bit ago, I posted a short python script to automatically create music playlists. It was a bit clunky and relied on a rather sketchy recursion implementation, i.e. there was no real base case (it just assumed you didn't have an infinitely large directory). I wanted to fix this and transfer the script to a more general language that could be used on most computers. So I turned to bash scripting. Terminal (Unix/OSX), cygwin (Windows), and other shell environments will run bash scripts without any trouble and no extra libraries or software is needed besides the base OS (or in the case of cygwin, the base install).

The script itself is rather simple, its core components is only around eight lines of code, the rest is just options for the user. I have a short yes/no function to standardize asking for input and then change the internal file separator to allow compatibility for people who like to litter spaces throughout their filenames and folders. The directory is requested from the user; I would suggest that you put the script in the root folder and then just type a dot to indicate use of the current directory.

Bash
  1. #!/bin/bash
  2. # biafra ahanonu
  3. # updated: 2013.03.23
  4. # script to make playlists
  5.  
  6. # Yes/No function
  7. getYesNo(){
  8.         select terminateSignal in "Yes" "No"
  9.         do
  10.                 case $terminateSignal in
  11.                         "Yes" )
  12.                                 return 1;;
  13.                         "No" )
  14.                                 return 0;;
  15.                 esac
  16.         done   
  17. }
  18.  
  19. # Change file separator to allow use of files with spaces
  20. oldIFS=$IFS
  21. IFS=$(echo -en "\n\b")
  22.  
  23. # Ask user for directory
  24. echo "Directory? "
  25. read userDir
  26. echo $userDir
  27.  

Next, the user is asked to delete old .m3u files and then choose the audio file extensions that their library consist of. Any new extensions are requested are added to the old one and then I use sed to convert the list into a form that is readily interpreted by find.

Bash
  1.  
  2. # Ask to remove old .m3u files
  3. echo "Remove old .m3u files? "
  4. getYesNo
  5. response=$?
  6. if [[ $response == 1 ]]; then
  7.         find . -regex '.*\.m3u' -delete
  8. fi
  9.  
  10. # Get file extensions to search for
  11. fileExt='mp3,wma,aac,flac,ogg,m4a,m4p,wav'
  12. echo 'Current search file extensions: '$fileExt
  13. echo "Add more extensions? "
  14. getYesNo
  15. response=$?
  16. if [[ $response == 1 ]]; then
  17.         echo "List extensions, separated by a comma: "
  18.         read fileExtUser
  19.         fileExt=$fileExt$fileExtUser
  20. fi
  21.  
  22. # Convert to find ready form
  23. fileExt=$(echo $fileExt | sed 's/,/\\|/g')
  24.  

find allows recursive searching for files matching a regular expression within a folder tree. It is much more robust and elegantly implemented than my use of python and is compatible with all the common operating systems. I loop over all folders in a directory and find their files recursively. The folder name is removed from the path and then all the files are saved to a .m3u file in that folder in a single line. neato!

Bash
  1.  
  2. # Loop over all folders in directory and add playlist to the root folder
  3. for folder in $(ls -d */); do
  4.         playlistName=$(echo $folder | sed 's/\///g;s/ /_/g')
  5.         folderName=$(echo $folder | sed 's/\///g')
  6.         find "$folder" -regex $fileExt | sed "s/${folderName}\///g" > $folder$playlistName".m3u"
  7.         echo $playlistName".m3u"
  8. done
  9.  
  10. # Return file separator to default
  11. IFS=$oldIFS

While different error handling and other code could be added to flesh this out, I think the current implementation is a nice and cheap way to make playlist in an entire library very quickly without installing any additional software. Adding extended M3U directives could be included, but normally music players read the information directly from the files after the playlist has loaded and I thus found the added expense and complexity not worth the effort.

The script is compatible with more obscure symbols that python trips over and sed, grep, and others can be used to further modify output via pipping, much easier than doing it all in python. Overall a fun little exercise in make a script more useful by taking advantage of both bash scripting and pre-existing programs.

download playlistMaker.sh

Bash
  1. #!/bin/bash
  2. # biafra ahanonu
  3. # updated: 2013.03.23
  4. # script to make playlists
  5.  
  6. # Yes/No function
  7. getYesNo(){
  8.         select terminateSignal in "Yes" "No"
  9.         do
  10.                 case $terminateSignal in
  11.                         "Yes" )
  12.                                 return 1;;
  13.                         "No" )
  14.                                 return 0;;
  15.                 esac
  16.         done   
  17. }
  18.  
  19. # Change file separator to allow use of files with spaces
  20. oldIFS=$IFS
  21. IFS=$(echo -en "\n\b")
  22.  
  23. # Ask user for directory
  24. echo "Directory? "
  25. read userDir
  26. echo $userDir
  27. cd $userDir  
  28.  
  29. # Ask to remove old .m3u files
  30. echo "Remove old .m3u files? "
  31. getYesNo
  32. response=$?
  33. if [[ $response == 1 ]]; then
  34.         find . -regex '.*\.m3u' -delete
  35. fi
  36.  
  37. # Get file extensions to search for
  38. fileExt='mp3,wma,aac,flac,ogg,m4a,m4p,wav'
  39. echo 'Current search file extensions: '$fileExt
  40. echo "Add more extensions? "
  41. getYesNo
  42. response=$?
  43. if [[ $response == 1 ]]; then
  44.         echo "List extensions, separated by a comma: "
  45.         read fileExtUser
  46.         fileExt=$fileExt$fileExtUser
  47. fi
  48.  
  49. # Convert to find ready form
  50. fileExt=$(echo $fileExt | sed 's/,/\\|/g')
  51. fileExt='.*\.\('$fileExt'\)'
  52.  
  53. # Loop over all folders in directory and add playlist to the root folder
  54. for folder in $(ls -d */); do
  55.         playlistName=$(echo $folder | sed 's/\///g;s/ /_/g')
  56.         folderName=$(echo $folder | sed 's/\///g')
  57.         find "$folder" -regex $fileExt | sed "s/${folderName}\///g" > $folder$playlistName".m3u"
  58.         echo $playlistName".m3u"
  59. done
  60.  
  61. # Return file separator to default
  62. IFS=$oldIFS

-biafra
bahanonu [at] alum.mit.edu

more articles to enjoy:

dealing with variable options (varargin) in matlab
17 february 2014 | programming

There are various ways to handle variable input arguments (varargin) in Matlab. I present the standard getOptions method I develop[...]ed that is simple, flexible, and allows for more readable code.

the origin and evolution of life
01 january 2020 | origin and evolution of life

I am starting a new blog focused on the Origin and Evolution of Life. Here is the first post.[...]

graduate student resources
19 august 2015 | graduate school

Providing links to some articles and other resources that I have found useful while in graduate school. I'll continually update the list as[...] I find more.

satellite-based videos: eastern europe during the russia-ukraine conflict
30 november 2022 | satellite

To visualize the nighttime lights of Eastern Europe, with a focus on times before and after the ongoing Russia-Ukraine conflict, I updated [...]my geoSatView R code originally built to view forest fires in the west coast of the United States to use satellite data from VNP46A1 and other datasets collected from the Suomi NPP VIIRS satellite.

I then created higher-quality movies in MATLAB by using the VNP46A2 Black Marble dataset collected by the same satellite, which has reduced cloud and other artifacts due to additional data processing. This allowed me to quantitate a permanent reduction in nighttime lights within Ukraine (in line with my initial hypothesis) and identify a multi-stage reduction of nighttime lights in Kiev's outer neighborhoods/metropolitan area that was greater than that seen in the city core/center. This highlights the utility of public satellite data to quickly test hypotheses and visualize large-scale changes.

I will go over how the Black Marble dataset is collected and processed along with how I created the movies and the advantages/disadvantages of each data source.

Using this platform and codebase, in follow-up posts I will look at 2021 Texas power crisis during the winter storms, vegetation changes in deforested areas or after conservation efforts, and other events.

©2006-2024 | Site created & coded by Biafra Ahanonu | Updated 17 April 2024
biafra ahanonu