xk library
Project description
lb: opinionated media library
A wise philosopher once told me, "The future is [...] auto-tainment".
Requires ffmpeg
Install
pip install xklb
Quick Start -- filesystem
1. Extract Metadata
For thirty terabytes of video the initial scan takes about four hours to complete. After that, rescans of the same path (or any subpaths) are much quicker--only new files will be read by ffprobe
.
lb extract tv.db ./video/folder/
2. Watch / Listen from local files
wt tv.db # the default post-action is to do nothing after playing
wt tv.db --post-action delete # delete file after playing
lt finalists.db --post-action=ask # ask to delete after playing
Quick Start -- virtual
1. Download Metadata
Download playlist and channel metadata. Break free of the YouTube algo~
lb tubeadd educational.db https://www.youtube.com/c/BranchEducation/videos
You can add more than one at a time.
lb tubeadd maker.db https://www.youtube.com/c/CuriousMarc/videos https://www.youtube.com/c/element14presents/videos/ https://www.youtube.com/c/DIYPerks/videos
And you can always add more later--even from different websites.
lb tubeadd maker.db https://vimeo.com/terburg
To prevent mistakes the default configuration is to download metadata for only the newest 20,000 videos per playlist/channel.
lb tubeadd maker.db --yt-dlp-config playlistend=1000
Be aware that there are some YouTube Channels which have many items--for example the TEDx channel has about 180,000 videos. Some channels even have upwards of two million videos. More than you could likely watch in one sitting. On a high-speed connection (>500 Mbps), it can take up to five hours just to download the metadata for 180,000 videos. My advice: start with the 20,000.
1a. Get new videos for saved playlists
Tubeupdate will go through all added playlists and fetch metadata of any new videos not previously seen.
lb tubeupdate
You can also include your own yt-dlp download archive to skip downloaded videos and speed up playlist scanning.
lb tubeupdate --yt-dlp-config download_archive=rel/loc/archive.txt
2. Watch / Listen from websites
lb tubewatch maker.db
If you like this I also have a web version--but this Python version has more features and it can handle a lot more data.
Things to know
When the database file path is not specified, video.db
will be created / used.
lb extract ./tv/
The same for audio: audio.db
will be created / used.
lb extract --audio ./music/
Likewise, fs.db
from:
lb extract --filesystem /any/path/
If you want to specify more than one directory you need to mention the db file explicitly.
lb extract --filesystem one/
lb extract --filesystem fs.db one/ two/
Organize via separate databases.
lb extract --audio both.db ./audiobooks/ ./podcasts/
lb extract --audio audiobooks.db ./audiobooks/
lb extract --audio podcasts.db ./podcasts/ ./another/more/secret/podcasts_folder/
Usage
Repeat
lt # listen to 120 random songs (DEFAULT_PLAY_QUEUE)
lt --limit 5 # listen to FIVE songs
lt -l inf -u random # listen to random songs indefinitely
lt -s infinite # listen to songs from the band infinite
If that is confusing (or if you are trying to load 4 billion files) you could always use your shell:
function repeat
while $argv
and :
end
end
repeat lt -s finite # listen to finite songs infinitely
Watch longest videos
wt tv.db --sort duration desc
Watch specific video series in order
wt tv.db --search 'title of series' --play-in-order
There are multiple strictness levels of --play-in-order. If things aren't playing in order try adding more O
s
wt tv.db --search 'title of series' -O # default
wt tv.db --search 'title of series' -OO # slower, more complex algorithm
wt tv.db --search 'title of series' -OOO # most strict
Listen to OSTs on chromecast groups
lt -cast -cast-to 'Office pair' -s ' ost'
Exercise and watch TV that doesn't have subtitles
wt -u priority -w sub=0
Check if you've downloaded something before
wt -u duration --print -s 'video title'
View how much time you have listened to music
lb lt -w play_count'>'0 -p a
See how much video you have
lb wt video.db -p a
╒═══════════╤═════════╤═════════╤═════════╕
│ path │ hours │ size │ count │
╞═══════════╪═════════╪═════════╪═════════╡
│ Aggregate │ 145769 │ 37.6 TB │ 439939 │
╘═══════════╧═════════╧═════════╧═════════╛
Total duration: 16 years, 7 months, 19 days, 17 hours and 25 minutes
Search the filesystem
You can also use lb
for any files:
$ lb extract -fs ~/d/41_8bit/
$ lb fs fs.db -p a -s mario luigi
╒═══════════╤══════════════╤══════════╤═════════╕
│ path │ sparseness │ size │ count │
╞═══════════╪══════════════╪══════════╪═════════╡
│ Aggregate │ 1 │ 215.0 MB │ 7 │
╘═══════════╧══════════════╧══════════╧═════════╛
$ lb fs -p -s mario -s luigi -s jpg -w is_dir=0 -u 'size desc'
╒═══════════════════════════════════════╤══════════════╤═════════╕
│ path │ sparseness │ size │
╞═══════════════════════════════════════╪══════════════╪═════════╡
│ /mnt/d/41_8bit/roms/gba/media/images/ │ 1.05632 │ 58.2 kB │
│ Mario & Luigi - Superstar Saga (USA, │ │ │
│ Australia).jpg │ │ │
├───────────────────────────────────────┼──────────────┼─────────┤
│ /mnt/d/41_8bit/roms/gba/media/box3d/M │ 1.01583 │ 44.4 kB │
│ ario & Luigi - Superstar Saga (USA, │ │ │
│ Australia).jpg │ │ │
╘═══════════════════════════════════════╧══════════════╧═════════╛
TODO
- fs: split_by_silence without modifying files
- all: Tests
- tube: None instead of nan
- tube: prevent adding duplicates
- tube: sqlite-utils
- tube: Download subtitle to embed in db tags for search
- tube: Documentation
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