sources | ||
.gitignore | ||
music-from-fnt-225.csv | ||
music.json | ||
music.lua | ||
ReadMe.md | ||
search-tracklist.lua |
Note: Due to commas existing in the source data, all CSV files in sources
are
not actually csv files, except music-cleaned-2.csv
, which is tab-delimmited to
handle this. It also was abandoned because of handling issues with the csv
library on LuaRocks.
As it has been a while since my initial work on this, I don't remember what order of operations led to my initial database, except that it contained all tracks played on Friday Night Tracks from episode 150-205. I have since added tracks from episodes 12-149 and 226-230.
music.json
An object of objects, each track indexed by a normalized form of its name, which is all lowercase alphanumeric characters only. Note that these are not enforced or formalized by the library, but convention I have adopted.
names
: A list of names equivalent to this track (some tracks have duplicate names due to formatting differences)downloaded
: (TRUE or NULL) whether or not I have downloaded iturl
: (String or NULL) representing where I downloaded itnote
: (String or NULL) misc. notebuy
: (String or NULL) a URL where it can be bought (or where I bought it)favorite
: (TRUE or NULL) a favorite trackgenre
: (String or NULL) primary genre
(Note: I'm sure I've downloaded many tracks that aren't marked as downloaded.)
music.lua
A simple interface library to use in a Lua REPL.
load(force, file_name)
loads from specified file ormusic.json
(called immediately by default, but exposed so you can force a reload or a different file)save(file_name)
saves tofile_name
ormusic.json
add(str)
adds a new track (checks for duplicates)add_file(file_name)
adds new tracks from the specified file (file must have one track per line, ignores empty lines)find(str)
finds possible track matches by normalizing the input string, returns them in a listset(match, info)
match can be a list (as is returned by find) or a track name (either will be normalized), info must be a table of key-value pairs, these will be set on the matched tracks, overwriting existing values if a key is already in usenormalize(str)
returns a normalized form of the input string