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xk library

Project description

library (media toolkit)

A wise philosopher once told me: "the future is autotainment".

Manage and curate large media libraries. An index for your archive. Primary usage is local filesystem but also supports some virtual constructs like tracking online video playlists (eg. YouTube subscriptions) and scheduling browser tabs.

Install

Linux recommended but Windows setup instructions available.

pip install xklb

Should also work on Mac OS.

External dependencies

Required: ffmpeg

Some features work better with: mpv, firefox, fish

Getting started

Local media

1. Extract Metadata

For thirty terabytes of video the initial scan takes about four hours to complete. After that, subsequent scans of the path (or any subpaths) are much quicker--only new files will be read by ffprobe.

library fsadd tv.db ./video/folder/

termtosvg

2. Watch / Listen from local files

library watch tv.db                           # the default post-action is to do nothing
library watch tv.db --post-action delete      # delete file after playing
library listen finalists.db -k ask_keep       # ask whether to keep file after playing

To stop playing press Ctrl+C in either the terminal or mpv

Online media

1. Download Metadata

Download playlist and channel metadata. Break free of the YouTube algo~

library tubeadd educational.db https://www.youtube.com/c/BranchEducation/videos

termtosvg

And you can always add more later--even from different websites.

library tubeadd maker.db https://vimeo.com/terburg

To prevent mistakes the default configuration is to download metadata for only the most recent 20,000 videos per playlist/channel.

library tubeadd maker.db --extractor-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--maybe even one lifetime. On a high-speed connection (>500 Mbps), it can take up to five hours to download the metadata for 180,000 videos.

TIP! If you often copy and paste many URLs you can paste line-delimited text as arguments via a subshell. For example, in fish shell with cb:

library tubeadd my.db (cb)

Or in BASH:

library tubeadd my.db $(xclip -selection c)

1a. Get new videos for saved playlists

Tubeupdate will go through the list of added playlists and fetch metadata for any videos not previously seen.

library tubeupdate tube.db

2. Watch / Listen from websites

library watch maker.db

To stop playing press Ctrl+C in either the terminal or mpv

List all subcommands
$ library
xk media library subcommands (v2.2.144)

local media:
  lb fsadd                 Create a local media database; Add folders
  lb fsupdate              Refresh database: add new files, mark deleted

  lb listen                Listen to local and online media
  lb watch                 Watch local and online media
  lb search                Search text and subtitles

  lb read                  Read books
  lb view                  View images

  lb bigdirs               Discover folders which take much room
  lb dedupe                Deduplicate local db files
  lb czkawka-dedupe        Split-screen czkawka results to decide which to delete
  lb relmv                 Move files/folders while preserving relative paths
  lb christen              Cleanse files by giving them a new name

  lb mv-list               Reach a target free space by moving data across mount points
  lb scatter               Scatter files across multiple mountpoints (mergerfs balance)

  lb search-db             Search a SQLITE file
  lb merge-dbs             Merge multiple SQLITE files
  lb dedupe-dbs            Deduplicate SQLITE tables
  lb copy-play-counts      Copy play counts from multiple SQLITE files

online media:
  lb tubeadd               Create a tube database; Add playlists
  lb tubeupdate            Fetch new videos from saved playlists

  lb galleryadd            Create a gallery database; Add albums
  lb galleryupdate         Fetch new images from saved playlists

  lb redditadd             Create a reddit database; Add subreddits
  lb redditupdate          Fetch new posts from saved subreddits

  lb tildes                Backup tildes comments and topics
  lb substack              Backup substack articles

  lb merge-online-local    Merge local and online metadata

downloads:
  lb download              Download media
  lb redownload            Redownload missing media
  lb block                 Prevent downloading specific media

playback:
  lb now                   Print what is currently playing
  lb next                  Play next file
  lb stop                  Stop all playback
  lb pause                 Pause all playback

statistics:
  lb history               Show some playback statistics
  lb playlists             List added playlists
  lb download-status       Show download status
  lb disk-usage            Print disk usage
  lb mount-stats           Print mount usage

browser tabs:
  lb tabsadd               Create a tabs database; Add URLs
  lb tabs                  Open your tabs for the day
  lb surf                  Load browser tabs in a streaming way (stdin)

places:
  lb places-import         Load POIs from Google Maps Google Takeout

mining:
  lb eda                   Exploratory Data Analysis on table-like files
  lb incremental-diff      Diff large table-like files in chunks

  lb reddit-selftext       db selftext external links -> db media table
  lb pushshift             Convert Pushshift jsonl.zstd -> reddit.db format (stdin)
  lb hnadd                 Create a hackernews database (this takes a few days)

  lb extract-links         Extract links from lists of web pages

  lb mpv-watchlater        Import timestamps from mpv watchlater to history table

  lb cluster-sort          Lines -> sorted by sentence similarity groups (stdin)
  lb nouns                 Unstructured text -> compound nouns (stdin)

Examples

Watch online media on your PC

wget https://github.com/chapmanjacobd/library/raw/main/example_dbs/mealtime.tw.db
library watch mealtime.tw.db --random --duration 30m

Listen to online media on a chromecast group

wget https://github.com/chapmanjacobd/library/raw/main/example_dbs/music.tl.db
library listen music.tl.db -ct "House speakers" --random

Hook into HackerNews

wget https://github.com/chapmanjacobd/hn_mining/raw/main/hackernews_only_direct.tw.db
library watch hackernews_only_direct.tw.db --random --ignore-errors

Organize via separate databases

library fsadd --audio both.db ./audiobooks/ ./podcasts/
library fsadd --audio audiobooks.db ./audiobooks/
library fsadd --audio podcasts.db ./podcasts/ ./another/more/secret/podcasts_folder/

Guides

Music alarm clock

via termux crontab

Wake up to your own music

30 7 * * * library listen ./audio.db

Wake up to your own music only when you are not home (computer on local IP)

30 7 * * * timeout 0.4 nc -z 192.168.1.12 22 || library listen --random

Wake up to your own music on your Chromecast speaker group only when you are home

30 7 * * * ssh 192.168.1.12 library listen --cast --cast-to "Bedroom pair"

Browser Tabs

Visit websites on a schedule

tabs is a way to organize your visits to URLs that you want to remember every once in a while.

The main benefit of tabs is that you can have a large amount of tabs saved (say 500 monthly tabs) and only the smallest amount of tabs to satisfy that goal (500/30) tabs will open each day. 17 tabs per day seems manageable--500 all at once does not.

The use-case of tabs are websites that you know are going to change: subreddits, games, or tools that you want to use for a few minutes daily, weekly, monthly, quarterly, or yearly.

1. Add your websites

library tabsadd tabs.db --frequency monthly --category fun \
    https://old.reddit.com/r/Showerthoughts/top/?sort=top&t=month \
    https://old.reddit.com/r/RedditDayOf/top/?sort=top&t=month

2. Add library tabs to cron

library tabs is meant to run once per day. Here is how you would configure it with crontab:

45 9 * * * DISPLAY=:0 library tabs /home/my/tabs.db

Or with systemd:

tee ~/.config/systemd/user/tabs.service
[Unit]
Description=xklb daily browser tabs

[Service]
Type=simple
RemainAfterExit=no
Environment="DISPLAY=:0"
ExecStart="/usr/bin/fish" "-c" "lb tabs /home/xk/lb/tabs.db"

tee ~/.config/systemd/user/tabs.timer
[Unit]
Description=xklb daily browser tabs timer

[Timer]
Persistent=yes
OnCalendar=*-*-* 9:58

[Install]
WantedBy=timers.target

systemctl --user daemon-reload
systemctl --user enable --now tabs.service

You can also invoke tabs manually:

library tabs tabs.db -L 1  # open one tab

Incremental surfing. ๐Ÿ“ˆ๐Ÿ„ totally rad!

Find large folders

Curate with library bigdirs

If you are looking for candidate folders for curation (ie. you need space but don't want to buy another hard drive). The bigdirs subcommand was written for that purpose:

$ library bigdirs fs/d.db

You may filter by folder depth (similar to QDirStat or WizTree)

$ library bigdirs --depth=3 audio.db

There is also an flag to prioritize folders which have many files which have been deleted (for example you delete songs you don't like--now you can see who wrote those songs and delete all their other songs...)

$ library bigdirs --sort-by deleted audio.db

Recently, this functionality has also been integrated into watch/listen subcommands so you could just do this:

$ library watch --big-dirs ./my.db
$ lb wt -B  # shorthand equivalent

Backfill data

Backfill missing YouTube videos from the Internet Archive
for base in https://youtu.be/ http://youtu.be/ http://youtube.com/watch?v= https://youtube.com/watch?v= https://m.youtube.com/watch?v= http://www.youtube.com/watch?v= https://www.youtube.com/watch?v=
    sqlite3 video.db "
        update or ignore media
            set path = replace(path, '$base', 'https://web.archive.org/web/2oe_/http://wayback-fakeurl.archive.org/yt/')
              , time_deleted = 0
        where time_deleted > 0
        and (path = webpath or path not in (select webpath from media))
        and path like '$base%'
    "
end
Backfill reddit databases with pushshift data

https://github.com/chapmanjacobd/reddit_mining/

for reddit_db in ~/lb/reddit/*.db
    set subreddits (sqlite-utils $reddit_db 'select path from playlists' --tsv --no-headers | grep old.reddit.com | sed 's|https://old.reddit.com/r/\(.*\)/|\1|' | sed 's|https://old.reddit.com/user/\(.*\)/|u_\1|' | tr -d "\r")

    ~/github/xk/reddit_mining/links/
    for subreddit in $subreddits
        if not test -e "$subreddit.csv"
            echo "octosql -o csv \"select path,score,'https://old.reddit.com/r/$subreddit/' as playlist_path from `../reddit_links.parquet` where lower(playlist_path) = '$subreddit' order by score desc \" > $subreddit.csv"
        end
    end | parallel -j8

    for subreddit in $subreddits
        sqlite-utils upsert --pk path --alter --csv --detect-types $reddit_db media $subreddit.csv
    end

    library tubeadd --safe --ignore-errors --force $reddit_db (sqlite-utils --raw-lines $reddit_db 'select path from media')
end

Datasette

Explore `library` databases in your browser
pip install datasette
datasette tv.db

Pipe to mnamer

Rename poorly named files
pip install mnamer
mnamer --movie-directory ~/d/70_Now_Watching/ --episode-directory ~/d/70_Now_Watching/ \
    --no-overwrite -b (library watch -p fd -s 'path : McCloud')
library fsadd ~/d/70_Now_Watching/

Pipe to lowcharts

$ library watch -p f -col time_created | lowcharts timehist -w 80
Matches: 445183.
Each โˆŽ represents a count of 1896
[2022-04-13 03:16:05] [151689] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-04-19 07:59:37] [ 16093] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-04-25 12:43:09] [ 12019] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-05-01 17:26:41] [ 48817] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-05-07 22:10:14] [ 36259] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-05-14 02:53:46] [  3942] โˆŽโˆŽ
[2022-05-20 07:37:18] [  2371] โˆŽ
[2022-05-26 12:20:50] [   517]
[2022-06-01 17:04:23] [  4845] โˆŽโˆŽ
[2022-06-07 21:47:55] [  2340] โˆŽ
[2022-06-14 02:31:27] [   563]
[2022-06-20 07:14:59] [ 13836] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-06-26 11:58:32] [  1905] โˆŽ
[2022-07-02 16:42:04] [  1269]
[2022-07-08 21:25:36] [  3062] โˆŽ
[2022-07-15 02:09:08] [  9192] โˆŽโˆŽโˆŽโˆŽ
[2022-07-21 06:52:41] [ 11955] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-07-27 11:36:13] [ 50938] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-08-02 16:19:45] [ 70973] โˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽโˆŽ
[2022-08-08 21:03:17] [  2598] โˆŽ

BTW, for some cols like time_deleted you'll need to specify a where clause so they aren't filtered out:

$ library watch -p f -col time_deleted -w time_deleted'>'0 | lowcharts timehist -w 80

video width

fps

Usage

Create database subcommands

Add local media (fsadd)
$ library fsadd -h
usage: library fsadd [(--video) | --audio | --image |  --text | --filesystem] DATABASE PATH ...

The default database type is video:
    library fsadd tv.db ./tv/
    library fsadd --video tv.db ./tv/  # equivalent

You can also create audio databases. Both audio and video use ffmpeg to read metadata:
    library fsadd --audio audio.db ./music/

Image uses ExifTool:
    library fsadd --image image.db ./photos/

Text will try to read files and save the contents into a searchable database:
    library fsadd --text text.db ./documents_and_books/

Create a text database and scan with OCR and speech-recognition:
    library fsadd --text --ocr --speech-recognition ocr.db ./receipts_and_messages/

Create a video database and read internal/external subtitle files into a searchable database:
    library fsadd --scan-subtitles tv.search.db ./tv/ ./movies/

Decode media to check for corruption (slow):
    library fsadd --check-corrupt 100 tv.db ./tv/  # scan through 100 percent of each file to evaluate how corrupt it is (very slow)
    library fsadd --check-corrupt   1 tv.db ./tv/  # scan through 1 percent of each file to evaluate how corrupt it is (takes about one second per file)
    library fsadd --check-corrupt   5 tv.db ./tv/  # scan through 5 percent of each file to evaluate how corrupt it is (takes about ten seconds per file)

    library fsadd --check-corrupt   5 --delete-corrupt 30 tv.db ./tv/  # scan 5 percent of each file to evaluate how corrupt it is, if 30 percent or more of those checks fail then the file is deleted

    nb: the behavior of delete-corrupt changes between full and partial scan
    library fsadd --check-corrupt  99 --delete-corrupt  1 tv.db ./tv/  # partial scan 99 percent of each file to evaluate how corrupt it is, if 1 percent or more of those checks fail then the file is deleted
    library fsadd --check-corrupt 100 --delete-corrupt  1 tv.db ./tv/  # full scan each file to evaluate how corrupt it is, if there is _any_ corruption then the file is deleted

Normally only relevant filetypes are included. You can scan all files with this flag:
    library fsadd --scan-all-files mixed.db ./tv-and-maybe-audio-only-files/
    # I use that with this to keep my folders organized:
    library watch -w 'video_count=0 and audio_count>=1' -pf mixed.db | parallel mv {} ~/d/82_Audiobooks/

Remove path roots with --force
    library fsadd audio.db /mnt/d/Youtube/
    [/mnt/d/Youtube] Path does not exist

    library fsadd --force audio.db /mnt/d/Youtube/
    [/mnt/d/Youtube] Path does not exist
    [/mnt/d/Youtube] Building file list...
    [/mnt/d/Youtube] Marking 28932 orphaned metadata records as deleted
Add online video media (yt-dlp) (tubeadd)
$ library tubeadd -h
usage: library tubeadd [--safe] [--extra] [--subs] [--auto-subs] DATABASE URLS ...

Create a dl database / add links to an existing database

    library tubeadd dl.db https://www.youdl.com/c/BranchEducation/videos

Add links from a line-delimited file

    cat ./my_yt_subscriptions.txt | library tubeadd reddit.db -

Add metadata to links already in a database table

    library tubeadd --force reddit.db (sqlite-utils --raw-lines reddit.db 'select path from media')

Fetch extra metadata:

    By default tubeadd will quickly add media at the expense of less metadata.
    If you plan on using `library download` then it doesn't make sense to use `--extra`.
    Downloading will add the extra metadata automatically to the database.
    You can always fetch more metadata later via tubeupdate:
    library tubeupdate tw.db --extra
Add online gallery media (gallery-dl) (galleryadd)
$ library galleryadd -h
usage: library galleryadd DATABASE URLS

Add gallery_dl URLs to download later or periodically update

If you have many URLs use stdin

    cat ./my-favorite-manhwa.txt | library galleryadd my.db --insert-only -
Add browser tabs (tabsadd)
$ library tabsadd -h
usage: library tabsadd [--frequency daily weekly (monthly) quarterly yearly] [--no-sanitize] DATABASE URLS ...

Adding one URL:

    library tabsadd -f daily tabs.db https://wiby.me/surprise/

    Depending on your shell you may need to escape the URL (add quotes)

    If you use Fish shell know that you can enable features to make pasting easier:
        set -U fish_features stderr-nocaret qmark-noglob regex-easyesc ampersand-nobg-in-token

    Also I recommend turning Ctrl+Backspace into a super-backspace for repeating similar commands with long args:
        echo 'bind \b backward-kill-bigword' >> ~/.config/fish/config.fish

Importing from a line-delimitated file:

    library tabsadd -f yearly -c reddit tabs.db (cat ~/mc/yearly-subreddit.cron)
Add reddit media (redditadd)
$ library redditadd -h
usage: library redditadd [--lookback N_DAYS] [--praw-site bot1] DATABASE URLS ...

Fetch data for redditors and reddits:

    library redditadd interesting.db https://old.reddit.com/r/coolgithubprojects/ https://old.reddit.com/user/Diastro

If you have a file with a list of subreddits you can do this:

    library redditadd 96_Weird_History.db --subreddits (cat ~/mc/96_Weird_History-reddit.txt)

Likewise for redditors:

    library redditadd shadow_banned.db --redditors (cat ~/mc/shadow_banned.txt)

Note that reddit's API is limited to 1000 posts and it usually doesn't go back very far historically.
Also, it may be the case that reddit's API (praw) will stop working in the near future. For both of these problems
my suggestion is to use pushshift data.
You can find more info here: https://github.com/chapmanjacobd/reddit_mining#how-was-this-made
Convert pushshift data to reddit.db format
$ library pushshift -h
usage: library pushshift DATABASE < stdin

Download data (about 600GB jsonl.zst; 6TB uncompressed)

    wget -e robots=off -r -k -A zst https://files.pushshift.io/reddit/submissions/

Load data from files via unzstd

    unzstd --memory=2048MB --stdout RS_2005-07.zst | library pushshift pushshift.db

Or multiple (output is about 1.5TB SQLITE fts-searchable):

    for f in psaw/files.pushshift.io/reddit/submissions/*.zst
        echo "unzstd --memory=2048MB --stdout $f | library pushshift (basename $f).db"
        library optimize (basename $f).db
    end | parallel -j5
Create / Update a Hacker News database (hnadd)
$ library hnadd -h
usage: library hnadd [--oldest] DATABASE

Fetch latest stories first:

    library hnadd hn.db -v
    Fetching 154873 items (33212696 to 33367569)
    Saving comment 33367568
    Saving comment 33367543
    Saving comment 33367564
    ...

Fetch oldest stories first:

    library hnadd --oldest hn.db
Backup substack articles
$ library substack -h
usage: library substack DATABASE PATH ...

Backup substack articles
Backup tildes comments and topics
$ library tildes -h
usage: library tildes DATABASE USER

Backup tildes.net user comments and topics

    library tildes tildes.net.db xk3

Without cookies you are limited to the first page. You can use cookies like this:
    https://github.com/rotemdan/ExportCookies
    library tildes tildes.net.db xk3 --cookies ~/Downloads/cookies-tildes-net.txt
Import places of interest (POIs) (places-import)
$ library places-import -h
usage: library places-import DATABASE PATH ...

Load POIs from Google Maps Google Takeout

Update database subcommands

Update local media (fsupdate)
$ library fsupdate -h
usage: library fsupdate DATABASE

Update each path previously saved:

    library fsupdate video.db
Update online video media (tubeupdate)
$ library tubeupdate -h
usage: library tubeupdate [--audio | --video] DATABASE

Fetch the latest videos for every playlist saved in your database

    library tubeupdate educational.db

Fetch extra metadata:

    By default tubeupdate will quickly add media.
    You can run with --extra to fetch more details: (best resolution width, height, subtitle tags, etc)

    library tubeupdate educational.db --extra https://www.youtube.com/channel/UCBsEUcR-ezAuxB2WlfeENvA/videos

Remove duplicate playlists:

    lb dedupe-db video.db playlists --bk extractor_playlist_id
Update online gallery media (galleryupdate)
$ library galleryupdate -h
usage: library galleryupdate DATABASE URLS

Check previously saved gallery_dl URLs for new content
Update reddit media (redditupdate)
$ library redditupdate -h
usage: library redditupdate [--audio | --video] [--lookback N_DAYS] [--praw-site bot1] DATABASE

Fetch the latest posts for every subreddit/redditor saved in your database

    library redditupdate edu_subreddits.db

Media database subcommands

Watch / Listen
$ library watch -h
usage: library watch DATABASE [optional args]

Control playback:
    To stop playback press Ctrl-C in either the terminal or mpv

    Create global shortcuts in your desktop environment by sending commands to mpv_socket:
    echo 'playlist-next force' | socat - /tmp/mpv_socket

Override the default player (mpv):
    library does a lot of things to try to automatically use your preferred media player
    but if it doesn't guess right you can make it explicit:
    library watch --player "vlc --vlc-opts"

Cast to chromecast groups:
    library watch --cast --cast-to "Office pair"
    library watch -ct "Office pair"  # equivalent
    If you don't know the exact name of your chromecast group run `catt scan`

Play media in order (similarly named episodes):
    library watch --play-in-order
    There are multiple strictness levels of --play-in-order:
    library watch -O    # equivalent
    library watch -OO   # above, plus ignores most filters
    library watch -OOO  # above, plus ignores fts and (include/exclude) filter during ordinal search
    library watch -OOOO # above, plus starts search with parent folder

    If searching by a specific subpath it may be preferable to just sort by path instead
    library watch d/planet.earth.2024/ -u path

    library watch --related  # Similar to -O but uses fts to find similar content
    library watch -R         # equivalent
    library watch -RR        # above, plus ignores most filters

    library watch --cluster  # cluster-sort to put similar-named paths closer together
    library watch -C         # equivalent

    library watch --big-dirs # Recommended to use with --duration or --depth filters; see `lb big-dirs -h` for more info
    library watch -B         # equivalent

    All of these options can be used together but it will be a bit slow and the results might be mid-tier
    as multiple different algorithms create a muddied signal (too many cooks in the kitchen):
    library watch -RRCOO

Filter media by file siblings of parent directory:
    library watch --sibling   # only include files which have more than or equal to one sibling
    library watch --solo      # only include files which are alone by themselves

    `--sibling` is just a shortcut for `--lower 2`; `--solo` is `--upper 1`
    library watch --sibling --solo      # you will always get zero records here
    library watch --lower 2 --upper 1   # equivalent

    You can be more specific via the `--upper` and `--lower` flags
    library watch --lower 3   # only include files which have three or more siblings
    library watch --upper 3   # only include files which have fewer than three siblings
    library watch --lower 3 --upper 3   # only include files which are three siblings inclusive
    library watch --lower 12 --upper 25 -OOO  # on my machine this launches My Mister 2018

Play recent partially-watched videos (requires mpv history):
    library watch --partial       # play newest first

    library watch --partial old   # play oldest first
    library watch -P o            # equivalent

    library watch -P p            # sort by percent remaining
    library watch -P t            # sort by time remaining
    library watch -P s            # skip partially watched (only show unseen)

    The default time used is "last-viewed" (ie. the most recent time you closed the video)
    If you want to use the "first-viewed" time (ie. the very first time you opened the video)
    library watch -P f            # use watch_later file creation time instead of modified time

    You can combine most of these options, though some will be overridden by others.
    library watch -P fo           # this means "show the oldest videos using the time I first opened them"
    library watch -P pt           # weighted remaining (percent * time remaining)

Print instead of play:
    library watch --print --limit 10  # print the next 10 files
    library watch -p -L 10  # print the next 10 files
    library watch -p  # this will print _all_ the media. be cautious about `-p` on an unfiltered set

    Printing modes
    library watch -p    # print as a table
    library watch -p a  # print an aggregate report
    library watch -p b  # print a bigdirs report (see library bigdirs -h for more info)
    library watch -p f  # print fields (defaults to path; use --cols to change)
                           # -- useful for piping paths to utilities like xargs or GNU Parallel

    library watch -p d  # mark deleted
    library watch -p w  # mark watched

    Some printing modes can be combined
    library watch -p df  # print files for piping into another program and mark them as deleted within the db
    library watch -p bf  # print fields from bigdirs report

    Check if you have downloaded something before
    library watch -u duration -p -s 'title'

    Print an aggregate report of deleted media
    library watch -w time_deleted!=0 -p=a
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ path      โ”‚ duration     โ”‚ size    โ”‚   count โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Aggregate โ”‚ 14 days, 23  โ”‚ 50.6 GB โ”‚   29058 โ”‚
    โ”‚           โ”‚ hours and 42 โ”‚         โ”‚         โ”‚
    โ”‚           โ”‚ minutes      โ”‚         โ”‚         โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
    Total duration: 14 days, 23 hours and 42 minutes

    Print an aggregate report of media that has no duration information (ie. online or corrupt local media)
    library watch -w 'duration is null' -p=a

    Print a list of filenames which have below 1280px resolution
    library watch -w 'width<1280' -p=f

    Print media you have partially viewed with mpv
    library watch --partial -p
    library watch -P -p  # equivalent
    library watch -P -p f --cols path,progress,duration  # print CSV of partially watched files
    library watch --partial -pa  # print an aggregate report of partially watched files

    View how much time you have watched
    library watch -w play_count'>'0 -p=a

    See how much video you have
    library watch video.db -p=a
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ path      โ”‚   hours โ”‚ size    โ”‚   count โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Aggregate โ”‚  145769 โ”‚ 37.6 TB โ”‚  439939 โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
    Total duration: 16 years, 7 months, 19 days, 17 hours and 25 minutes

    View all the columns
    library watch -p -L 1 --cols '*'

    Open ipython with all of your media
    library watch -vv -p --cols '*'
    ipdb> len(media)
    462219

Set the play queue size:
    By default the play queue is 120--long enough that you likely have not noticed
    but short enough that the program is snappy.

    If you want everything in your play queue you can use the aid of infinity.
    Pick your poison (these all do effectively the same thing):
    library watch -L inf
    library watch -l inf
    library watch --queue inf
    library watch -L 999999999999

    You may also want to restrict the play queue.
    For example, when you only want 1000 random files:
    library watch -u random -L 1000

Offset the play queue:
    You can also offset the queue. For example if you want to skip one or ten media:
    library watch --skip 10        # offset ten from the top of an ordered query

Repeat
    library watch                  # listen to 120 random songs (DEFAULT_PLAY_QUEUE)
    library watch --limit 5        # listen to FIVE songs
    library watch -l inf -u random # listen to random songs indefinitely
    library watch -s infinite      # listen to songs from the band infinite

Constrain media by search:
    Audio files have many tags to readily search through so metadata like artist,
    album, and even mood are included in search.
    Video files have less consistent metadata and so only paths are included in search.
    library watch --include happy  # only matches will be included
    library watch -s happy         # equivalent
    library watch --exclude sad    # matches will be excluded
    library watch -E sad           # equivalent

    Search only the path column
    library watch -O -s 'path : mad max'
    library watch -O -s 'path : "mad max"' # add "quotes" to be more strict

    Double spaces are parsed as one space
    library watch -s '  ost'        # will match OST and not ghost
    library watch -s toy story      # will match '/folder/toy/something/story.mp3'
    library watch -s 'toy  story'   # will match more strictly '/folder/toy story.mp3'

    You can search without -s but it must directly follow the database due to how argparse works
    library watch my.db searching for something

Constrain media by arbitrary SQL expressions:
    library watch --where audio_count = 2  # media which have two audio tracks
    library watch -w "language = 'eng'"    # media which have an English language tag
                                                (this could be audio _or_ subtitle)
    library watch -w subtitle_count=0      # media that doesn't have subtitles

Constrain media to duration (in minutes):
    library watch --duration 20
    library watch -d 6  # 6 mins ยฑ10 percent (ie. between 5 and 7 mins)
    library watch -d-6  # less than 6 mins
    library watch -d+6  # more than 6 mins

    Duration can be specified multiple times:
    library watch -d+5 -d-7  # should be similar to -d 6

    If you want exact time use `where`
    library watch --where 'duration=6*60'

Constrain media to file size (in megabytes):
    library watch --size 20
    library watch -S 6  # 6 MB ยฑ10 percent (ie. between 5 and 7 MB)
    library watch -S-6  # less than 6 MB
    library watch -S+6  # more than 6 MB

Constrain media by time_created / time_last_played / time_deleted / time_modified:
    library watch --created-within '3 days'
    library watch --created-before '3 years'

Constrain media by throughput:
    Bitrate information is not explicitly saved.
    You can use file size and duration as a proxy for throughput:
    library watch -w 'size/duration<50000'

Constrain media to portrait orientation video:
    library watch --portrait
    library watch -w 'width<height' # equivalent

Constrain media to duration of videos which match any size constraints:
    library watch --duration-from-size +700 -u 'duration desc, size desc'

Constrain media to online-media or local-media:
    Not to be confused with only local-media which is not "offline" (ie. one HDD disconnected)
    library watch --online-media-only
    library watch --online-media-only -i  # and ignore playback errors (ie. YouTube video deleted)
    library watch --local-media-only

Specify media play order:
    library watch --sort duration   # play shortest media first
    library watch -u duration desc  # play longest media first

    You can use multiple SQL ORDER BY expressions
    library watch -u 'subtitle_count > 0 desc' # play media that has at least one subtitle first

    Prioritize large-sized media
    library watch --sort 'ntile(10000) over (order by size/duration) desc'
    library watch -u 'ntile(100) over (order by size) desc'

    Sort by count of media with the same-X column (default DESC: most common to least common value)
    library watch -u same-duration
    library watch -u same-title
    library watch -u same-size
    library watch -u same-width, same-height ASC, same-fps
    library watch -u same-time_uploaded same-view_count same-upvote_ratio

    No media found when using --random
    In addition to -u/--sort random, there is also the -r/--random flag.
    If you have a large database it should be faster than -u random but it comes with a caveat:
    This flag randomizes via rowid at an earlier stage to boost performance.
    It is possible that you see "No media found" or a smaller amount of media than correct.
    You can bypass this by setting --limit. For example:
    library watch -B --folder-size=+12GiB --folder-size=-100GiB -r -pa
    path         count      size  duration                        avg_duration      avg_size
    ---------  -------  --------  ------------------------------  --------------  ----------
    Aggregate    10000  752.5 GB  4 months, 15 days and 10 hours  20 minutes         75.3 MB
    (17 seconds)
    library watch -B --folder-size=+12GiB --folder-size=-100GiB -r -pa -l inf
    path         count     size  duration                                 avg_duration      avg_size
    ---------  -------  -------  ---------------------------------------  --------------  ----------
    Aggregate   140868  10.6 TB  5 years, 2 months, 28 days and 14 hours  20 minutes         75.3 MB
    (30 seconds)

Post-actions -- choose what to do after playing:
    library watch --post-action keep    # do nothing after playing (default)
    library watch -k delete             # delete file after playing
    library watch -k softdelete         # mark deleted after playing

    library watch -k ask_keep           # ask whether to keep after playing
    library watch -k ask_delete         # ask whether to delete after playing

    library watch -k move               # move to "keep" dir after playing
    library watch -k ask_move           # ask whether to move to "keep" folder
    The default location of the keep folder is ./keep/ (relative to the played media file)
    You can change this by explicitly setting an *absolute* `keep-dir` path:
    library watch -k ask_move --keep-dir /home/my/music/keep/

    library watch -k ask_move_or_delete # ask after each whether to move to "keep" folder or delete

Experimental options:
    Duration to play (in seconds) while changing the channel
    library watch --interdimensional-cable 40
    library watch -4dtv 40

    Playback multiple files at once
    library watch --multiple-playback    # one per display; or two if only one display detected
    library watch --multiple-playback 4  # play four media at once, divide by available screens
    library watch -m 4 --screen-name eDP # play four media at once on specific screen
    library watch -m 4 --loop --crop     # play four cropped videos on a loop
    library watch -m 4 --hstack          # use hstack style
Open tabs
$ library tabs -h
usage: library tabs DATABASE

Tabs is meant to run **once per day**. Here is how you would configure it with `crontab`:

    45 9 * * * DISPLAY=:0 library tabs /home/my/tabs.db

If things aren't working you can use `at` to simulate a similar environment as `cron`

    echo 'fish -c "export DISPLAY=:0 && library tabs /full/path/to/tabs.db"' | at NOW

You can also invoke tabs manually:

    library tabs -L 1  # open one tab

Print URLs

    library tabs -w "frequency='yearly'" -p
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ path                                                           โ”‚ frequency   โ”‚ time_valid   โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ https://old.reddit.com/r/Autonomia/top/?sort=top&t=year        โ”‚ yearly      โ”‚ Dec 31 1970  โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ https://old.reddit.com/r/Cyberpunk/top/?sort=top&t=year        โ”‚ yearly      โ”‚ Dec 31 1970  โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ https://old.reddit.com/r/ExperiencedDevs/top/?sort=top&t=year  โ”‚ yearly      โ”‚ Dec 31 1970  โ”‚

    ...

    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

View how many yearly tabs you have:

    library tabs -w "frequency='yearly'" -p a
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ path      โ”‚   count โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Aggregate โ”‚     134 โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

Delete URLs

    library tb -p -s cyber
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ path                                  โ”‚ frequency   โ”‚ time_valid   โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ https://old.reddit.com/r/cyberDeck/to โ”‚ yearly      โ”‚ Dec 31 1970  โ”‚
    โ”‚ p/?sort=top&t=year                    โ”‚             โ”‚              โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ https://old.reddit.com/r/Cyberpunk/to โ”‚ yearly      โ”‚ Aug 29 2023  โ”‚
    โ”‚ p/?sort=top&t=year                    โ”‚             โ”‚              โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ https://www.reddit.com/r/cyberDeck/   โ”‚ yearly      โ”‚ Sep 05 2023  โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
    library tb -p -w "path='https://www.reddit.com/r/cyberDeck/'" --delete
    Removed 1 metadata records
    library tb -p -s cyber
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ path                                  โ”‚ frequency   โ”‚ time_valid   โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ https://old.reddit.com/r/cyberDeck/to โ”‚ yearly      โ”‚ Dec 31 1970  โ”‚
    โ”‚ p/?sort=top&t=year                    โ”‚             โ”‚              โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ https://old.reddit.com/r/Cyberpunk/to โ”‚ yearly      โ”‚ Aug 29 2023  โ”‚
    โ”‚ p/?sort=top&t=year                    โ”‚             โ”‚              โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
Block a channel
$ library block -h
usage: library block DATABASE URLS ...

Blocklist specific URLs (eg. YouTube channels, etc)

    library block dl.db https://annoyingwebsite/etc/

Or URL substrings

    library block dl.db "%%fastcompany.com%%"

Block videos from the playlist uploader

    library block dl.db --match-column playlist_path 'https://youtube.com/playlist?list=PLVoczRgDnXDLWV1UJ_tO70VT_ON0tuEdm'

Or other columns

    library block dl.db --match-column title "%% bitcoin%%"
    library block dl.db --force --match-column uploader Zeducation

Display subdomains (similar to `lb download-status`)

    library block audio.db
    subdomain              count    new_links    tried  percent_tried      successful  percent_successful      failed  percent_failed
    -------------------  -------  -----------  -------  ---------------  ------------  --------------------  --------  ----------------
    dts.podtrac.com         5244          602     4642  88.52%%                    690  14.86%%                    3952  85.14%%
    soundcloud.com         16948        11931     5017  29.60%%                    920  18.34%%                    4097  81.66%%
    twitter.com              945          841      104  11.01%%                      5  4.81%%                       99  95.19%%
    v.redd.it               9530         6805     2725  28.59%%                    225  8.26%%                     2500  91.74%%
    vimeo.com                865          795       70  8.09%%                      65  92.86%%                       5  7.14%%
    www.youtube.com       210435       140952    69483  33.02%%                  66017  95.01%%                    3467  4.99%%
    youtu.be               60061        51911     8150  13.57%%                   7736  94.92%%                     414  5.08%%
    youtube.com             5976         5337      639  10.69%%                    599  93.74%%                      40  6.26%%

Find some words to block based on frequency / recency of downloaded media

    library watch dl.db -u time_downloaded desc -L 10000 -pf | lb nouns | sort | uniq -c | sort -g
    ...
    183 ArchiveOrg
    187 Documentary
    237 PBS
    243 BBC
    ...
List playlists
$ library playlists -h
usage: library playlists DATABASE [--delete ...]

List of Playlists

    library playlists
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ extractor_key   โ”‚ title              โ”‚ path                                                                     โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Youtube  โ”‚ Highlights of Life โ”‚ https://www.youtube.com/playlist?list=PL7gXS9DcOm5-O0Fc1z79M72BsrHByda3n โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

Search playlists

    library playlists audio.db badfinger
    path                                                        extractor_key    title                             count
    ----------------------------------------------------------  ---------------  ------------------------------  -------
    https://music.youtube.com/channel/UCyJzUJ95hXeBVfO8zOA0GZQ  ydl_Youtube      Uploads from Badfinger - Topic      226

Aggregate Report of Videos in each Playlist

    library playlists -p a
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ extractor_key   โ”‚ title              โ”‚ path                                                                     โ”‚ duration      โ”‚   count โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Youtube  โ”‚ Highlights of Life โ”‚ https://www.youtube.com/playlist?list=PL7gXS9DcOm5-O0Fc1z79M72BsrHByda3n โ”‚ 53.28 minutes โ”‚      15 โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
    1 playlist
    Total duration: 53.28 minutes

Print only playlist urls:
    Useful for piping to other utilities like xargs or GNU Parallel.
    library playlists -p f
    https://www.youtube.com/playlist?list=PL7gXS9DcOm5-O0Fc1z79M72BsrHByda3n

Remove a playlist/channel and all linked videos:
    library playlists --remove https://vimeo.com/canal180
Download media
$ library download -h
usage: library download [--prefix /mnt/d/] [--safe] [--subs] [--auto-subs] [--small] DATABASE --video | --audio | --photos

Files will be saved to <lb download prefix>/<extractor>/. If prefix is not specified the current working directory will be used

By default things will download in a random order

    library download dl.db --prefix ~/output/path/root/

Limit downloads to a specified playlist URLs or substring

    library download dl.db https://www.youtube.com/c/BlenderFoundation/videos

Maximizing the variety of subdomains

    library download photos.db --photos --image --sort "ROW_NUMBER() OVER ( PARTITION BY SUBSTR(m.path, INSTR(m.path, '//') + 2, INSTR( SUBSTR(m.path, INSTR(m.path, '//') + 2), '/') - 1) )"

Print list of queued up downloads

    library download --print

Print list of saved playlists

    library playlists dl.db -p a

Print download queue groups

    library download-status audio.db
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ extractor_key     โ”‚ duration         โ”‚   never_downloaded โ”‚   errors โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Soundcloud โ”‚                  โ”‚                 10 โ”‚        0 โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Youtube    โ”‚ 10 days, 4 hours โ”‚                  1 โ”‚     2555 โ”‚
    โ”‚            โ”‚ and 20 minutes   โ”‚                    โ”‚          โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Youtube    โ”‚ 7.68 minutes     โ”‚                 99 โ”‚        1 โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
Download Status (download-status)
$ library download-status -h
usage: library download-status DATABASE

Print download queue groups

    library download-status video.db
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ extractor_key      โ”‚ duration         โ”‚   never_downloaded โ”‚   errors โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ Youtube     โ”‚ 3 hours and 2.07 โ”‚                 76 โ”‚        0 โ”‚
    โ”‚             โ”‚ minutes          โ”‚                    โ”‚          โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Dailymotion โ”‚                  โ”‚                 53 โ”‚        0 โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Youtube     โ”‚ 1 day, 18 hours  โ”‚                 30 โ”‚        0 โ”‚
    โ”‚             โ”‚ and 6 minutes    โ”‚                    โ”‚          โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Dailymotion โ”‚                  โ”‚                186 โ”‚      198 โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Youtube     โ”‚ 1 hour and 52.18 โ”‚                  1 โ”‚        0 โ”‚
    โ”‚             โ”‚ minutes          โ”‚                    โ”‚          โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Vimeo       โ”‚                  โ”‚                253 โ”‚       49 โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Youtube     โ”‚ 2 years, 4       โ”‚              51676 โ”‚      197 โ”‚
    โ”‚             โ”‚ months, 15 days  โ”‚                    โ”‚          โ”‚
    โ”‚             โ”‚ and 6 hours      โ”‚                    โ”‚          โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ Youtube     โ”‚ 4 months, 23     โ”‚               2686 โ”‚        7 โ”‚
    โ”‚             โ”‚ days, 19 hours   โ”‚                    โ”‚          โ”‚
    โ”‚             โ”‚ and 33 minutes   โ”‚                    โ”‚          โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

Simulate --safe flag

    library download-status video.db --safe
Re-download deleted/lost media (redownload)
$ library redownload -h
usage: library redownload DATABASE

If you have previously downloaded YouTube or other online media, but your
hard drive failed or you accidentally deleted something, and if that media
is still accessible from the same URL, this script can help to redownload
everything that was scanned-as-deleted between two timestamps.

List deletions:

    $ library redownload news.db
    Deletions:
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ time_deleted        โ”‚   count โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ 2023-01-26T00:31:26 โ”‚     120 โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ 2023-01-26T19:54:42 โ”‚      18 โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ 2023-01-26T20:45:24 โ”‚      26 โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
    Showing most recent 3 deletions. Use -l to change this limit

Mark videos as candidates for download via specific deletion timestamp:

    $ library redownload city.db 2023-01-26T19:54:42
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ size     โ”‚ time_created   โ”‚ time_modified   โ”‚ time_downloaded   โ”‚   width โ”‚   height โ”‚   fps โ”‚ duration         โ”‚ path                                                                                                   โ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ 697.7 MB โ”‚ Apr 13 2022    โ”‚ Mar 11 2022     โ”‚ Oct 19            โ”‚    1920 โ”‚     1080 โ”‚    30 โ”‚ 21.22 minutes    โ”‚ /mnt/d/76_CityVideos/PRAIA DE BARRA DE JANGADA CANDEIAS JABOATรƒO                                       โ”‚
    โ”‚          โ”‚                โ”‚                 โ”‚                   โ”‚         โ”‚          โ”‚       โ”‚                  โ”‚ RECIFE PE BRASIL AVENIDA BERNARDO VIEIRA DE MELO-4Lx3hheMPmg.mp4
    ...

...or between two timestamps inclusive:

    $ library redownload city.db 2023-01-26T19:54:42 2023-01-26T20:45:24
History
$ library history -h
usage: library history [--frequency daily weekly (monthly) yearly] [--limit LIMIT] DATABASE [(all) watching watched created modified deleted]

Explore history through different facets

$ library history video.db watched
Finished watching:
โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
โ”‚ time_period   โ”‚ duration_sum                    โ”‚ duration_avg   โ”‚ size_sum   โ”‚ size_avg   โ”‚
โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
โ”‚ 2022-11       โ”‚ 4 days, 16 hours and 20 minutes โ”‚ 55.23 minutes  โ”‚ 26.3 GB    โ”‚ 215.9 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2022-12       โ”‚ 23 hours and 20.03 minutes      โ”‚ 35.88 minutes  โ”‚ 8.3 GB     โ”‚ 213.8 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2023-01       โ”‚ 17 hours and 3.32 minutes       โ”‚ 15.27 minutes  โ”‚ 14.3 GB    โ”‚ 214.1 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2023-02       โ”‚ 4 days, 5 hours and 60 minutes  โ”‚ 23.17 minutes  โ”‚ 148.3 GB   โ”‚ 561.6 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2023-03       โ”‚ 2 days, 18 hours and 18 minutes โ”‚ 11.20 minutes  โ”‚ 118.1 GB   โ”‚ 332.8 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2023-05       โ”‚ 5 days, 5 hours and 4 minutes   โ”‚ 45.75 minutes  โ”‚ 152.9 GB   โ”‚ 932.1 MB   โ”‚
โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

$ library history video.db created --frequency yearly
Created media:
โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
โ”‚   time_period โ”‚ duration_sum                               โ”‚ duration_avg   โ”‚ size_sum   โ”‚ size_avg   โ”‚
โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
โ”‚          2005 โ”‚ 9.78 minutes                               โ”‚ 1.95 minutes   โ”‚ 16.9 MB    โ”‚ 3.4 MB     โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2006 โ”‚ 7 hours and 10.67 minutes                  โ”‚ 5 minutes      โ”‚ 891.1 MB   โ”‚ 10.4 MB    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2007 โ”‚ 1 day, 17 hours and 33 minutes             โ”‚ 8.55 minutes   โ”‚ 5.9 GB     โ”‚ 20.3 MB    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2008 โ”‚ 5 days, 16 hours and 10 minutes            โ”‚ 17.02 minutes  โ”‚ 20.7 GB    โ”‚ 43.1 MB    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2009 โ”‚ 24 days, 2 hours and 56 minutes            โ”‚ 33.68 minutes  โ”‚ 108.4 GB   โ”‚ 105.2 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2010 โ”‚ 1 month, 1 days and 1 minutes              โ”‚ 35.52 minutes  โ”‚ 124.2 GB   โ”‚ 95.7 MB    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2011 โ”‚ 2 months, 14 days, 1 hour and 22 minutes   โ”‚ 55.93 minutes  โ”‚ 222.0 GB   โ”‚ 114.9 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2012 โ”‚ 2 months, 22 days, 19 hours and 17 minutes โ”‚ 45.50 minutes  โ”‚ 343.6 GB   โ”‚ 129.6 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2013 โ”‚ 3 months, 11 days, 21 hours and 48 minutes โ”‚ 42.72 minutes  โ”‚ 461.1 GB   โ”‚ 131.7 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2014 โ”‚ 3 months, 7 days, 10 hours and 22 minutes  โ”‚ 46.80 minutes  โ”‚ 529.6 GB   โ”‚ 173.1 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2015 โ”‚ 2 months, 21 days, 23 hours and 36 minutes โ”‚ 36.73 minutes  โ”‚ 452.7 GB   โ”‚ 139.2 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2016 โ”‚ 3 months, 26 days, 7 hours and 59 minutes  โ”‚ 39.48 minutes  โ”‚ 603.4 GB   โ”‚ 139.9 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2017 โ”‚ 3 months, 10 days, 2 hours and 19 minutes  โ”‚ 31.78 minutes  โ”‚ 543.5 GB   โ”‚ 117.5 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2018 โ”‚ 3 months, 21 days, 20 hours and 56 minutes โ”‚ 30.98 minutes  โ”‚ 607.5 GB   โ”‚ 114.8 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2019 โ”‚ 5 months, 23 days, 2 hours and 30 minutes  โ”‚ 35.77 minutes  โ”‚ 919.7 GB   โ”‚ 129.7 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2020 โ”‚ 7 months, 16 days, 10 hours and 58 minutes โ”‚ 26.15 minutes  โ”‚ 1.2 TB     โ”‚ 93.9 MB    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2021 โ”‚ 7 months, 21 days, 9 hours and 40 minutes  โ”‚ 39.93 minutes  โ”‚ 1.3 TB     โ”‚ 149.9 MB   โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2022 โ”‚ 17 years, 3 months, 0 days and 21 hours    โ”‚ 19.62 minutes  โ”‚ 35.8 TB    โ”‚ 77.5 MB    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚          2023 โ”‚ 15 years, 3 months, 24 days and 1 hours    โ”‚ 17.57 minutes  โ”‚ 27.6 TB    โ”‚ 60.2 MB    โ”‚
โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
โ”‚ title_path                                                                                 โ”‚ duration      โ”‚ time_created   โ”‚
โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
โ”‚ [Eng Sub] TVB Drama | The King Of Snooker ๆกŒ็ƒๅคฉ็Ž‹ 07/20 | Adam Cheng | 2009 #Chinesedrama โ”‚ 43.85 minutes โ”‚ yesterday      โ”‚
โ”‚ https://www.youtube.com/watch?v=zntYD1yLrG8                                                โ”‚               โ”‚                โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ [Eng Sub] TVB Drama | The King Of Snooker ๆกŒ็ƒๅคฉ็Ž‹ 08/20 | Adam Cheng | 2009 #Chinesedrama โ”‚ 43.63 minutes โ”‚ yesterday      โ”‚
โ”‚ https://www.youtube.com/watch?v=zQnSfoWrh-4                                                โ”‚               โ”‚                โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ [Eng Sub] TVB Drama | The King Of Snooker ๆกŒ็ƒๅคฉ็Ž‹ 06/20 | Adam Cheng | 2009 #Chinesedrama โ”‚ 43.60 minutes โ”‚ yesterday      โ”‚
โ”‚ https://www.youtube.com/watch?v=Qiax1kFyGWU                                                โ”‚               โ”‚                โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ [Eng Sub] TVB Drama | The King Of Snooker ๆกŒ็ƒๅคฉ็Ž‹ 04/20 | Adam Cheng | 2009 #Chinesedrama โ”‚ 43.45 minutes โ”‚ yesterday      โ”‚
โ”‚ https://www.youtube.com/watch?v=NT9C3PRrlTA                                                โ”‚               โ”‚                โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ [Eng Sub] TVB Drama | The King Of Snooker ๆกŒ็ƒๅคฉ็Ž‹ 02/20 | Adam Cheng | 2009 #Chinesedrama โ”‚ 43.63 minutes โ”‚ yesterday      โ”‚
โ”‚ https://www.youtube.com/watch?v=MjpCiTawlTE                                                โ”‚               โ”‚                โ”‚
โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

View download stats

$ library history video.db --freqency daily downloaded
Downloaded media:
day         total_duration                          avg_duration                total_size    avg_size    count
----------  --------------------------------------  ------------------------  ------------  ----------  -------
2023-08-11  1 month, 7 days and 8 hours             17 minutes                    192.2 GB     58.3 MB     3296
2023-08-12  18 days and 15 hours                    17 minutes                     89.7 GB     56.4 MB     1590
2023-08-14  13 days and 1 hours                     22 minutes                    111.2 GB    127.2 MB      874
2023-08-15  13 days and 6 hours                     17 minutes                    140.0 GB    126.7 MB     1105
2023-08-17  2 months, 8 days and 8 hours            19 minutes                    380.4 GB     72.6 MB     5243
2023-08-18  2 months, 30 days and 18 hours          17 minutes                    501.9 GB     63.3 MB     7926
2023-08-19  2 months, 6 days and 19 hours           19 minutes                    578.1 GB    110.6 MB     5229
2023-08-20  3 days and 9 hours                      6 minutes and 57 seconds       14.5 GB     20.7 MB      700
2023-08-21  4 days and 3 hours                      12 minutes                     18.0 GB     36.3 MB      495
2023-08-22  10 days and 8 hours                     17 minutes                     82.1 GB     91.7 MB      895
2023-08-23  19 days and 9 hours                     22 minutes                     93.7 GB     74.7 MB     1254

$ library history video.db deleted
Deleted media:
โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
โ”‚ time_period   โ”‚ duration_sum                               โ”‚ duration_avg   โ”‚ size_sum   โ”‚ size_avg   โ”‚
โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
โ”‚ 2023-04       โ”‚ 1 year, 10 months, 3 days and 8 hours      โ”‚ 4.47 minutes   โ”‚ 1.6 TB     โ”‚ 7.4 MB     โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2023-05       โ”‚ 9 months, 26 days, 20 hours and 34 minutes โ”‚ 30.35 minutes  โ”‚ 1.1 TB     โ”‚ 73.7 MB    โ”‚
โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
โ”‚ title_path                                                                                                 โ”‚ duration      โ”‚   subtitle_count โ”‚ time_deleted   โ”‚
โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
โ”‚ Terminus (1987)                                                                                            โ”‚ 1 hour and    โ”‚                0 โ”‚ yesterday      โ”‚
โ”‚ /mnt/d/70_Now_Watching/Terminus_1987.mp4                                                                   โ”‚ 15.55 minutes โ”‚                  โ”‚                โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ Commodore 64 Longplay [062] The Transformers (EU) /mnt/d/71_Mealtime_Videos/Youtube/World_of_Longplays/Com โ”‚ 24.77 minutes โ”‚                2 โ”‚ yesterday      โ”‚
โ”‚ modore_64_Longplay_062_The_Transformers_EU_[1RRX7Kykb38].webm                                              โ”‚               โ”‚                  โ”‚                โ”‚
...
Search captions / subtitles
$ library search -h
usage: library search DATABASE QUERY

Search text databases and subtitles

$ library search fts.db boil
    7 captions
    /mnt/d/70_Now_Watching/DidubeTheLastStop-720p.mp4
       33:46 I brought a real stainless steel boiler
       33:59 The world is using only stainless boilers nowadays
       34:02 The boiler is old and authentic
       34:30 - This boiler? - Yes
       34:44 I am not forcing you to buy this boilerโ€ฆ
       34:52 Who will give her a one liter stainless steel boiler for one Lari?
       34:54 Glass boilers cost two

Search and open file
$ library search fts.db 'two words' --open

Text subcommands

Sort text and images by similarity (cluster-sort)
$ library cluster-sort -h
usage: library cluster-sort [input_path | stdin] [output_path | stdout]

Group lines of text into sorted output

$ echo 'red apple
broccoli
yellow
green
orange apple
red apple' | library cluster-sort

orange apple
red apple
red apple
broccoli
green
yellow

Show the groups

$ echo 'red apple
broccoli
yellow
green
orange apple
red apple' | library cluster-sort --print-groups

[
    {'grouped_paths': ['orange apple', 'red apple', 'red apple']},
    {'grouped_paths': ['broccoli', 'green', 'yellow']}
]

Auto-sort images into directories

$ echo 'image1.jpg
image2.jpg
image3.jpg' | library cluster-sort --image --move-groups
Extract links from HTML pages (extract-links)
$ library extract-links -h
usage: library extract-links PATH ... [--case-sensitive] [--scroll] [--download] [--verbose] [--local-html] [--file FILE] [--path-include ...] [--text-include ...] [--after-include ...] [--before-include ...] [--path-exclude ...] [--text-exclude ...] [--after-exclude ...] [--before-exclude ...]

Extract links from within local HTML fragments, files, or remote pages; filtering on link text and nearby plain-text

    $ library links https://en.wikipedia.org/wiki/List_of_bacon_dishes --path-include https://en.wikipedia.org/wiki/ --after-include famous
    https://en.wikipedia.org/wiki/Omelette

Read from local clipboard and filter out links based on nearby plain text:

    library links --local-html (cb -t text/html | psub) --after-exclude paranormal spooky horror podcast tech fantasy supernatural lecture sport
    # note: the equivalent BASH-ism is <(xclip -selection clipboard -t text/html)

File subcommands

Exploratory Data Analysis (eda)
$ library eda -h
usage: library eda PATH ... [--table TABLE] [--start-row START_ROW] [--end-row END_ROW] [--repl]

Perform Exploratory Data Analysis (EDA) on one or more files

Only 20,000 rows per file are loaded for performance purposes. Set `--end-row inf` to read all the rows and/or run out of RAM.
Compare data files (incremental-diff)
$ library incremental-diff -h
usage: library incremental-diff PATH1 PATH2 [--join-keys JOIN_KEYS] [--table1 TABLE1] [--table2 TABLE2] [--table1-index TABLE1_INDEX] [--table2-index TABLE2_INDEX] [--start-row START_ROW] [--batch-size BATCH_SIZE]

See data differences in an incremental way to quickly see how two different files differ.

Data (PATH1, PATH2) can be two different files of different file formats (CSV, Excel) or it could even be the same file with different tables.

If files are unsorted you may need to use `--join-keys id,name` to specify ID columns. Rows that have the same ID will then be compared. If you are comparing SQLITE files you may be able to use `--sort id,name` to achieve the same effect.

To diff everything at once run with `--batch-size inf`

Folder subcommands

Move files preserving parent folder hierarchy (relmv)
$ library relmv -h
usage: library relmv [--dry-run] SOURCE ... DEST

Move files/folders without losing hierarchy metadata

Move fresh music to your phone every Sunday:

    # move last week music back to their source folders
    library relmv /mnt/d/80_Now_Listening/ /mnt/d/

    # move new music for this week
    library relmv (
        library listen audio.db --local-media-only --where 'play_count=0' --random -L 600 -p f
    ) /mnt/d/80_Now_Listening/
Scatter files between folders or disks
$ library scatter -h
usage: library scatter [--limit LIMIT] [--policy POLICY] [--sort SORT] --targets TARGETS DATABASE RELATIVE_PATH ...

Balance files across filesystem folder trees or multiple devices (mostly useful for mergerfs)

Scatter filesystem folder trees (without mountpoints; limited functionality; good for balancing fs inodes)

    $ library scatter scatter.db /test/{0,1,2,3,4,5,6,7,8,9}

Reduce number of files per folder (creates more folders)

    $ library scatter scatter.db --max-files-per-folder 16000 /test/{0,1,2,3,4,5,6,7,8,9}

Multi-device re-bin: balance by size

    $ library scatter -m /mnt/d1:/mnt/d2:/mnt/d3:/mnt/d4/:/mnt/d5:/mnt/d6:/mnt/d7 fs.db subfolder/of/mergerfs/mnt
    Current path distribution:
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ mount   โ”‚   file_count โ”‚ total_size   โ”‚ median_size   โ”‚ time_created   โ”‚ time_modified   โ”‚ time_downloadedโ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ /mnt/d1 โ”‚        12793 โ”‚ 169.5 GB     โ”‚ 4.5 MB        โ”‚ Jan 27         โ”‚ Jul 19 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d2 โ”‚        13226 โ”‚ 177.9 GB     โ”‚ 4.7 MB        โ”‚ Jan 27         โ”‚ Jul 19 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d3 โ”‚            1 โ”‚ 717.6 kB     โ”‚ 717.6 kB      โ”‚ Jan 31         โ”‚ Jul 18 2022     โ”‚ yesterday      โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d4 โ”‚           82 โ”‚ 1.5 GB       โ”‚ 12.5 MB       โ”‚ Jan 31         โ”‚ Apr 22 2022     โ”‚ yesterday      โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›

    Simulated path distribution:
    5845 files should be moved
    20257 files should not be moved
    โ•’โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•คโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ••
    โ”‚ mount   โ”‚   file_count โ”‚ total_size   โ”‚ median_size   โ”‚ time_created   โ”‚ time_modified   โ”‚ time_downloadedโ”‚
    โ•žโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ชโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ก
    โ”‚ /mnt/d1 โ”‚         9989 โ”‚ 46.0 GB      โ”‚ 2.4 MB        โ”‚ Jan 27         โ”‚ Jul 19 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d2 โ”‚        10185 โ”‚ 46.0 GB      โ”‚ 2.4 MB        โ”‚ Jan 27         โ”‚ Jul 19 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d3 โ”‚         1186 โ”‚ 53.6 GB      โ”‚ 30.8 MB       โ”‚ Jan 27         โ”‚ Apr 07 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d4 โ”‚         1216 โ”‚ 49.5 GB      โ”‚ 29.5 MB       โ”‚ Jan 27         โ”‚ Apr 07 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d5 โ”‚         1146 โ”‚ 53.0 GB      โ”‚ 30.9 MB       โ”‚ Jan 27         โ”‚ Apr 07 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d6 โ”‚         1198 โ”‚ 48.8 GB      โ”‚ 30.6 MB       โ”‚ Jan 27         โ”‚ Apr 07 2022     โ”‚ Jan 31         โ”‚
    โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
    โ”‚ /mnt/d7 โ”‚         1182 โ”‚ 52.0 GB      โ”‚ 30.9 MB       โ”‚ Jan 27         โ”‚ Apr 07 2022     โ”‚ Jan 31         โ”‚
    โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
    ### Move 1182 files to /mnt/d7 with this command: ###
    rsync -aE --xattrs --info=progress2 --remove-source-files --files-from=/tmp/tmpmr1628ij / /mnt/d7
    ### Move 1198 files to /mnt/d6 with this command: ###
    rsync -aE --xattrs --info=progress2 --remove-source-files --files-from=/tmp/tmp9yd75f6j / /mnt/d6
    ### Move 1146 files to /mnt/d5 with this command: ###
    rsync -aE --xattrs --info=progress2 --remove-source-files --files-from=/tmp/tmpfrj141jj / /mnt/d5
    ### Move 1185 files to /mnt/d3 with this command: ###
    rsync -aE --xattrs --info=progress2 --remove-source-files --files-from=/tmp/tmpqh2euc8n / /mnt/d3
    ### Move 1134 files to /mnt/d4 with this command: ###
    rsync -aE --xattrs --info=progress2 --remove-source-files --files-from=/tmp/tmphzb0gj92 / /mnt/d4

Multi-device re-bin: balance device inodes for specific subfolder

    $ library scatter -m /mnt/d1:/mnt/d2 fs.db subfolder --group count --sort 'size desc'

Multi-device re-bin: only consider the most recent 100 files

    $ library scatter -m /mnt/d1:/mnt/d2 -l 100 -s 'time_modified desc' fs.db /

Multi-device re-bin: empty out a disk (/mnt/d2) into many other disks (/mnt/d1, /mnt/d3, and /mnt/d4)

    $ library scatter fs.db -m /mnt/d1:/mnt/d3:/mnt/d4 /mnt/d2
Find specific folders to move to different disks (mv-list)
$ library mv-list -h
usage: library mv-list [--limit LIMIT] [--lower LOWER] [--upper UPPER] MOUNT_POINT DATABASE

Free up space on a specific disk. Find candidates for moving data to a different mount point

The program takes a mount point and a xklb database file. If you don't have a database file you can create one like this:

$ library fsadd --filesystem d.db ~/d/

But this should definitely also work with xklb audio and video databases:

$ library mv-list /mnt/d/ video.db

The program will print a table with a sorted list of folders which are good candidates for moving. Candidates are determined by how many files are in the folder (so you don't spend hours waiting for folders with millions of tiny files to copy over). The default is 4 to 4000--but it can be adjusted via the --lower and --upper flags.

...
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 4.0 GB   โ”‚       7 โ”‚ /mnt/d/71_Mealtime_Videos/unsorted/Miguel_4K/                                                                 โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 5.7 GB   โ”‚      10 โ”‚ /mnt/d/71_Mealtime_Videos/unsorted/Bollywood_Premium/                                                         โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚ 2.3 GB   โ”‚       4 โ”‚ /mnt/d/71_Mealtime_Videos/chief_wiggum/                                                                       โ”‚
โ•˜โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•งโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•›
6702 other folders not shown

โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ•—โ–‘โ–‘โ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ•—โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ–ˆโ•—โ–‘โ–‘โ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ•šโ•โ•โ–ˆโ–ˆโ•”โ•โ•โ•โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ•โ•โ•โ•โ•
โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ•šโ•โ•โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•”โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•—โ–‘
โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–‘โ•šโ•โ•โ•โ–ˆโ–ˆโ•—โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•”โ•โ•โ–ˆโ–ˆโ•—โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–ˆโ–ˆโ•—โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ•‘โ–‘โ•šโ•โ•โ•โ–ˆโ–ˆโ•—
โ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ•‘โ–‘โ•šโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ–‘โ–‘โ–‘โ–ˆโ–ˆโ•‘โ•šโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•โ–ˆโ–ˆโ•‘โ–‘โ•šโ–ˆโ–ˆโ–ˆโ•‘โ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ–ˆโ•”โ•
โ•šโ•โ•โ•šโ•โ•โ–‘โ–‘โ•šโ•โ•โ•โ•šโ•โ•โ•โ•โ•โ•โ–‘โ–‘โ–‘โ–‘โ•šโ•โ•โ–‘โ–‘โ–‘โ•šโ•โ•โ–‘โ–‘โ•šโ•โ•โ–‘โ•šโ•โ•โ•โ•โ•โ•โ–‘โ–‘โ•šโ•โ•โ•โ•โ•โ–‘โ–‘โ–‘โ–‘โ•šโ•โ•โ–‘โ–‘โ–‘โ•šโ•โ•โ–‘โ•šโ•โ•โ•โ•โ•โ–‘โ•šโ•โ•โ–‘โ–‘โ•šโ•โ•โ•โ•šโ•โ•โ•โ•โ•โ•โ–‘

Type "done" when finished
Type "more" to see more files
Paste a folder (and press enter) to toggle selection
Type "*" to select all files in the most recently printed table

Then it will give you a prompt:

Paste a path:

Wherein you can copy and paste paths you want to move from the table and the program will keep track for you.

Paste a path: /mnt/d/75_MovieQueue/720p/s11/
26 selected paths: 162.1 GB ; future free space: 486.9 GB

You can also press the up arrow or paste it again to remove it from the list:

Paste a path: /mnt/d/75_MovieQueue/720p/s11/
25 selected paths: 159.9 GB ; future free space: 484.7 GB

After you are done selecting folders you can press ctrl-d and it will save the list to a tmp file:

Paste a path: done

    Folder list saved to /tmp/tmpa7x_75l8. You may want to use the following command to move files to an EMPTY folder target:

        rsync -a --info=progress2 --no-inc-recursive --remove-source-files --files-from=/tmp/tmpa7x_75l8 -r --relative -vv --dry-run / jim:/free/real/estate/

Multi-database subcommands

Merge SQLITE databases (merge-dbs)
$ library merge-dbs -h
usage: library merge-dbs DEST_DB SOURCE_DB ... [--only-target-columns] [--only-new-rows] [--upsert] [--pk PK ...] [--table TABLE ...]

Merge-DBs will insert new rows from source dbs to target db, table by table. If primary key(s) are provided,
and there is an existing row with the same PK, the default action is to delete the existing row and insert the new row
replacing all existing fields.

Upsert mode will update each matching PK row such that if a source row has a NULL field and
the destination row has a value then the value will be preserved instead of changed to the source row's NULL value.

Ignore mode (--only-new-rows) will insert only rows which don't already exist in the destination db

Test first by using temp databases as the destination db.
Try out different modes / flags until you are satisfied with the behavior of the program

    library merge-dbs --pk path (mktemp --suffix .db) tv.db movies.db

Merge database data and tables

    library merge-dbs --upsert --pk path video.db tv.db movies.db
    library merge-dbs --only-target-columns --only-new-rows --table media,playlists --pk path --skip-column id audio-fts.db audio.db

    library merge-dbs --pk id --only-tables subreddits reddit/81_New_Music.db audio.db
    library merge-dbs --only-new-rows --pk subreddit,path --only-tables reddit_posts reddit/81_New_Music.db audio.db -v
Copy play history (copy-play-counts)
$ library copy-play-counts -h
usage: library copy-play-counts DEST_DB SOURCE_DB ... [--source-prefix x] [--target-prefix y]

Copy play count information between databases

    library copy-play-counts audio.db phone.db --source-prefix /storage/6E7B-7DCE/d --target-prefix /mnt/d

Filesystem Database subcommands

Clean filenames (christen)
$ library christen -h
usage: library christen DATABASE [--run]

Rename files to be somewhat normalized

Default mode is dry-run

    library christen fs.db

To actually do stuff use the run flag

    library christen audio.db --run

You can optionally replace all the spaces in your filenames with dots

    library christen --dot-space video.db
Disk Usage (disk-usage)
$ library disk-usage -h
usage: library disk-usage DATABASE [--sort-by size | count] [--depth DEPTH] [PATH / SUBSTRING SEARCH]

Only include files smaller than 1kib

    library disk-usage du.db --size=-1Ki
    lb du du.db -S-1Ki
    | path                                  |      size |   count |
    |---------------------------------------|-----------|---------|
    | /home/xk/github/xk/lb/__pycache__/    | 620 Bytes |       1 |
    | /home/xk/github/xk/lb/.github/        |    1.7 kB |       4 |
    | /home/xk/github/xk/lb/__pypackages__/ |    1.4 MB |    3519 |
    | /home/xk/github/xk/lb/xklb/           |    4.4 kB |      12 |
    | /home/xk/github/xk/lb/tests/          |    3.2 kB |       9 |
    | /home/xk/github/xk/lb/.git/           |  782.4 kB |    2276 |
    | /home/xk/github/xk/lb/.pytest_cache/  |    1.5 kB |       5 |
    | /home/xk/github/xk/lb/.ruff_cache/    |   19.5 kB |     100 |
    | /home/xk/github/xk/lb/.gitattributes  | 119 Bytes |         |
    | /home/xk/github/xk/lb/.mypy_cache/    | 280 Bytes |       4 |
    | /home/xk/github/xk/lb/.pdm-python     |  15 Bytes |         |

Only include files with a specific depth

    library disk-usage du.db --depth 19
    lb du du.db -d 19
    | path                                                                                                                                                                |     size |
    |---------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|
    | /home/xk/github/xk/lb/__pypackages__/3.11/lib/jedi/third_party/typeshed/third_party/2and3/requests/packages/urllib3/packages/ssl_match_hostname/__init__.pyi        | 88 Bytes |
    | /home/xk/github/xk/lb/__pypackages__/3.11/lib/jedi/third_party/typeshed/third_party/2and3/requests/packages/urllib3/packages/ssl_match_hostname/_implementation.pyi | 81 Bytes |
Show large folders (bigdirs)
$ library bigdirs -h
usage: library bigdirs DATABASE [--limit (4000)] [--depth (0)] [--sort-by deleted | played] [--size=+5MB]

See what folders take up space

    library bigdirs video.db
    library bigdirs audio.db
    library bigdirs fs.db

lb bigdirs video.db --folder-size=+10G --lower 400 --upper 14000

lb bigdirs video.db --depth 5
lb bigdirs video.db --depth 7
Search a SQLITE database (search-db)
$ library search-db -h
usage: library search-db DATABASE TABLE SEARCH ... [--delete]

Search all columns in a SQLITE table. If the table does not exist, uses the table which startswith (if only one match)
Re-optimize database
$ library optimize -h
usage: library optimize DATABASE [--force]

Optimize library databases

The force flag is usually unnecessary and it can take much longer

Database enrichment subcommands

Dedupe SQLITE tables (dedupe-db)
$ library dedupe-db -h
usage: library dedupe-dbs DATABASE TABLE --bk BUSINESS_KEYS [--pk PRIMARY_KEYS] [--only-columns COLUMNS]

Dedupe your database (not to be confused with the dedupe subcommand)

It should not need to be said but *backup* your database before trying this tool!

Dedupe-DB will help remove duplicate rows based on non-primary-key business keys

    library dedupe-db ./video.db media --bk path

If --primary-keys is not provided table metadata primary keys will be used
If --only-columns is not provided all non-primary and non-business key columns will be upserted
If your duplicate rows contain exactly the same data in all the columns you can run with --skip-upsert to save a lot of time
Dedupe similar media
$ library dedupe -h
usage: library [--audio | --id | --title | --filesystem] [--only-soft-delete] [--limit LIMIT] DATABASE

Dedupe your files (not to be confused with the dedupe-db subcommand)

library dedupe video.db / http
Merge online and local data (merge-online-local)
$ library merge-online-local -h
usage: library merge-online-local DATABASE

If you have previously downloaded YouTube or other online media, you can dedupe
your database and combine the online and local media records as long as your
files have the youtube-dl / yt-dlp id in the filename.
Import mpv watchlater files to history (mpv-watchlater)
$ library mpv-watchlater -h
usage: library mpv-watchlater DATABASE [--watch-later-directory ~/.config/mpv/watch_later/]

Extract timestamps from MPV to the history table
Convert selftext links to media table (reddit-selftext)
$ library reddit-selftext -h
usage: library reddit-selftext DATABASE

Extract URLs from reddit selftext from the reddit_posts table to the media table

Misc subcommands

Automatic tab loader (surf)
$ library surf -h
usage: library surf [--count COUNT] [--target-hosts TARGET_HOSTS] < stdin

Streaming tab loader: press ctrl+c to stop.

Open tabs from a line-delimited file:

    cat tabs.txt | library surf -n 5

You will likely want to use this setting in `about:config`

    browser.tabs.loadDivertedInBackground = True

If you prefer GUI, check out https://unli.xyz/tabsender/
Export HTML files from SQLite databases (export-text)
$ library export-text -h
usage: library export-text DATABASE

Generate HTML files from SQLite databases
Chicken mode
       ////////////////////////
      ////////////////////////|
     //////////////////////// |
    ////////////////////////| |
    |    _\/_   |   _\/_    | |
    |     )o(>  |  <)o(     | |
    |   _/ <\   |   /> \_   | |        just kidding :-)
    |  (_____)  |  (_____)  | |_
    | ~~~oOo~~~ | ~~~0oO~~~ |/__|
   _|====\_=====|=====_/====|_ ||
  |_|\_________ O _________/|_|||
   ||//////////|_|\\\\\\\\\\|| ||
   || ||       |\_\\        || ||
   ||/||        \\_\\       ||/||
   ||/||         \)_\)      ||/||
   || ||         \  O /     || ||
   ||             \  /      || LGB

               \________/======
               / ( || ) \\

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