acousticbrainz: Add tag mappings for AcousticBrainz values

Problem

The acousticbrainz tag don’t seem to be writed, but a search on theses tags in beet work well.

$ beet -vv write "Electric Soul"

user configuration: /home/wargreen/.config/beets/config.yaml
data directory: /home/wargreen/.config/beets
plugin paths: 
Sending event: pluginload
inline: adding item field multidisc
library database: /home/wargreen/.config/beets/library.db
library directory: /media/wargreen/ebf12476-be6c-4f3f-94e3-0d93b255464f/Stock/MuZiKs/FlacLib
Sending event: library_opened
Zenzile - Electric Soul - Scars
  bpm: 110 -> 109.997833252
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - No Idol
  bpm: 152 -> 152.094009399
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - Mind Control
  bpm: 155 -> 155.072387695
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - Stay
  bpm: 126 -> 126.000022888
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - Yuri's Porthole
  bpm: 109 -> 109.920982361
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - Chewin' Mi Mic
  bpm: 139 -> 139.937774658
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - Over/Time
  bpm: 100 -> 100.005722046
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile - Electric Soul - Man Made Machine
  bpm: 151 -> 151.209442139
Sending event: write
Sending event: after_write
Sending event: database_change
Zenzile feat. Winston McAnuff - Electric Soul - Magic Number
  bpm: 125 -> 125.937271118
Sending event: write
Sending event: after_write
Sending event: database_change
Sending event: cli_exit

beet list danceable:0.8..1 "Electric Soul"
Zenzile - Electric Soul - Mind Control
Zenzile - Electric Soul - Yuri's Porthole
Zenzile - Electric Soul - Chewin' Mi Mic
Zenzile - Electric Soul - Over/Time

For exemple on one of theses files :

mediainfo 03\ Mind\ Control.flac 
General
Complete name                            : 03 Mind Control.flac
Format                                   : FLAC
Format/Info                              : Free Lossless Audio Codec
File size                                : 30.3 MiB
Duration                                 : 4 min 55 s
Overall bit rate mode                    : Variable
Overall bit rate                         : 858 kb/s
Album replay gain                        : -7.95 dB
Album replay gain peak                   : 1.000000
Album                                    : Electric Soul
Album/Performer                          : Zenzile / Zenzile
Part                                     : 1
Part/Total                               : 1
Track name                               : Mind Control
Track name/Position                      : 3
Track name/Total                         : 9
Performer                                : Zenzile
Label                                    : Yotanka Productions
Genre                                    : Chillout
Recorded date                            : 2012-09-24 / 2012
BPM                                      : 155.07
Cover                                    : Yes
Cover type                               : Cover (front)
Cover MIME                               : image/jpg
FMPS_PLAYCOUNT                           : 0
FMPS_RATING_AMAROK_SCORE                 : 0.09
ACOUSTID_FINGERPRINT                     : AQADtNqiZFmWJDjckfjxA0d-1MczqOjz4-Nx4DoO_cNxRKKF4wd_oS_SEy90HD5xnDh4_JCNv_hx6MeP57hR6cOVQedxNUF-FU10Eu2S4z3y5Rk0J8vRXMrx43mgKTmaMDouakT0HNMpND-eKD9-ePIznDnx4zu4xkXzaKgyqdiXEsePftCX5Sjl42ma4cd5lEq0H5PG4sdjBcyNa8H1486GZiTyF6cdPCfuwsdlTIfmiQ0e6vjn4MwF8w_yHU-PpxT8YVSFK6CPydFwvEcOo5JTPJMe6Mk1RPjhU0HW41SGJ4e-rIivNPhVwu_xHc_046XgC3-GrD9-TKEeuD7xetAD70c9EmciEXF-_NhFNE_BHE965Dv0H_GP-4HjG8-Dm8LhOMi74wn-CNVZhE-PBz8qchWoRFtRb8ijG7qOPMLZ4Gg6lMqPI1-iCloShCRZ4YpmfFEafEjjJXhwZsdztHHG4FTxzHh2ONTRSvgEPeB-IheaM83w4zHS_kiUfPiFJzD5KMF15XiaoD-aaxGeRsJ-_PhxFfnRj4Ky60JVTkSuKOtx453wp0Fz4StKBUc-kYHeFGl2PMmNrNpivHBE7TgT4iT4t3jCFSEvvAR9-EXF7ciXnPhzHPoT4ilxZscDLfWhfcGDO0PzQ2v04al45HAuvFFyfJPA50V__BaOu8gHMWsR7jgTHg9_PMHZgjkPN0Ep4cgnHVryoSsf5NIc4kuIkhLRRFyCPAroG08faKl6eGxKfMYP8T1KKTvO5ODyQO9xKjiOOoHYDeGz4_gDx2fw40saJjg8argYCXkFHiGXS8fxovw0VE4SHk4UIzQHXRMyB3_Qh_AT1ElwHZ-R69ASHeFCksGjE-ca9BmabNPxKMiP5wyaPzh8Cs_Iw9ZRyhnu43mGQ1ae4lOG60ONVyyqB_J6xMd12J7wtLiQUj705ch1VPQqpEk7KWj5QDtcIdeKi0TDnrhbIXeTBGrhOkeO57iOPCvxHJoerWgeHnkSHkd9NFwy_HhTNIxz4U1-PNrx4kf4ZYF-_Mj94bwSPM1QyoX_gVd25AkLKRaDOPdxP2AZJYdrXEhvJGeMLyn4gVFYSikcMyN8PGqRP0iIZzraKTglPE9wNuh75AaTKsQ73DrivAjDykO9xcF1BH5wbSb-op8GMzrO7MeTFk9E4_fROTYCVcePfHhTopm-o1byBJdwMTsuPD0-HakzQQfszfiBUPs6OGGe4IetEo9aXD_8I3wO1SdyOwl-VHRK-EKdxPiF_BnUPEeY7JPQJw8uxvhR92ierPiOM2hCMU-ISwk8_jgVFj76skSeiNDxD88e5MqOx0NzB-Wb44lxmbiPJ4zxRUirEH-OEo0zHY-PFmIsPRFyU4UzabhwS8WL92jiicZFBvlj6DmcI-fx6PhexGLwXIMWfujp4JSRw9WOZ8X34BqaRHE4vMmH__Dqw8_RR8h3HHgSDfkngXfIgD_6R8KUnMeXILmyI7eM547xC08rPDsunDmm9CbCa0Oi6hPe4biFJnmCO2iWB-9D_OhzNA9xHz2s7CHx_khs7UgvPMTbFH7KB11RLepxBl-NG0emZwmSJ2hmDU8yPPiP5kMv4okenNnxo8cdHMmVI_DRxQ8uNFdQfccR5lmCZD2F88GP80N3HdwjlKRHPPSC_mh6PC2aUMd1C98j4cyDfEqI5IMrKfgNv41xH3eOz7gUqikoHEdyhCGuBVfwHc2PPgz-EM-PUoeP45-OTEdSojqeG30ZkDluBhuX7ehzXHh6fBbODL2QLBqVB3mS44HHmMaN48e2Ncd3kFmj6DiReDJyJkEt6TgbwXqPO8d5_MfnGj94pEdyHs3S48nwHCd8fCH2B-dQqz3u48c-aDJ-HBOjiE3QqMHPYuex62huJKuaIsdz1GLSoEmOJp8y9FLwhht-1EfjMHiGccdR9dFRSNGTwaqEm4fftPj34j54_PLwIyeFKzOEPEdJEVfw4Gfh8sRznLLxTDL6HA5bnBqoS3iOMD106djdxMg_olEZVONO7KdwPR1OJcZuND0mUgqSlUeYJI0ZnD-O5mRQLg-FH-2PnwhP6FMa9IlznC-0tdCPH3wSpPqwfzh29ElA_XhyTNGUZXiRB8lzPBd86vgrXElpXFeBPkf_FI_i4z2OI-dx54RYFfmS4zn-o3kSo_lw4zdOHuq4DI0uVFp7nDnuFH9K4UpwHpEeHn4-7EeYrcedBd8V5MyhxWGOSBYPPscPZpoUR4V_YTw8JQtb9BmuE7_w6fhhn8QV6zgP1DryZEUp54O6C3ueIK0ePHlAk0XPo3ky5F2CTwf3Q7NhPIePHz-sqEfFaLlxQ3qIGyWDxilO4ctRPXLQnHnwIVed4aGUwid-HacEXh_CJloueIdvfOJBeA80MccVKcV__Ap-HLUCN-gDvXiO51LgD6-W4I-G5szQR9A34dWxZ0f4Hl_x40dOuDx6KQyhS8b1HPmD62giSUOdHjueKGEQPkLzkLiOPFo2XEs0OGbwBGeOH3z0oHnE4FkJ8_A5o96w6zgl5GrwJ9Ae7LvwNDh89Av0HM0e1MkV_AXzEPFgMOaAAgIYxIgxgpXDjQLKCSGEsUhZKwBgwUIBpRICMAiEkIQY4YDhgjCHkFMUCEKEUoIRopAggDVFhIDIEYABIIoxYoBBjBBEkGMEAQCMEMA4BASBDBHjgRGCOCQQgkIIBgRiCAhiABAGKQaIVAYIA5GmChFDBTCACMIQQowYiJABgBmHEIDcQUAYIcg4BhBijBoimDAaOIgAEwaBgYRAEACgBLAIGoUIMMAASARBjECJgCCGAICgQ8gBAQSBwFGikCOUCiUQ4UIYQIgSCGhlBEAGGFAMcQRAQRwDSADHBCICCCAMBVUZIKRACqhAgAAUE2QIFIAY44BEBAnijEIEAdUMUQAK6ZZCAhjkEGGMCWMMIcoJYJhECCkFjACAANQY1AAYIQjjhjAFiDCGICCAQwABwAxCRiOjjAMUKSYYogAJoxAhyCoCBGKAEGykUcAAhRAAAEHuGECOGkaAIEYJowxCShEChDBIIQQM1EAgAaBQjkiijEGGAEMABoY4wBgAABFGADSMICQcQggAwghCyBlkgkGKAGeIUpAIAggSQChGoBAEUMUUIlIAQEEACBLjKCAAUCuMEIAwBgAilFEAIABSQEsUcVY5QAnExBGgFABEKQQQYIIIohUiygBhAHIECAqgIc4hyIQGBjJEgANUA4CAgIAIQBSjFBjCgCLEIicBcMIM4gwA1CFiAGIGKwCkBABQbpQRDAGAkAWAAKQIAw0QIwxDmikhBBACAEAQM0YQqZAwzjFDmCJEQAWY0YASRgghTBACEDCIDcOBAI4pQwAwiiIGDIKgG8WQMQpRShBAwiAlgDBMMECNQIAJZzBxhBCkECFYMEeJMAQqYgACDBghCCMEEgcMIsQBLgRAAAFiHDLIEIWMgAAYARyS1jAglGCYMkMAAKQIAAAiAAiknFBMAIGIowAsAAIDWAEDiBACIECQGIYxCogAQgIgEGAQIWiEY4YZgJBBigAAgFRAIIQIB5IgBQ
ACOUSTID_ID                              : 273b55f7-5af2-4690-b4cf-696309f0b11f
ALBUMARTIST_CREDIT                       : Zenzile
ALBUMARTISTSORT                          : Zenzile
MUSICBRAINZ_ALBUMSTATUS                  : Official
MUSICBRAINZ_ALBUMTYPE                    : album
ARTIST_CREDIT                            : Zenzile
ARTISTSORT                               : Zenzile
ASIN                                     : B008KSFBI0
CATALOGNUMBER                            : YO26
COMPILATION                              : 0
RELEASECOUNTRY                           : FR
DISCC                                    : 1
INITIALKEY                               : A
PUBLISHER                                : Yotanka Productions
MUSICBRAINZ_RELEASEGROUPID               : a7cd9c9e-611a-4df1-b319-254f068eb328
MUSICBRAINZ_RELEASETRACKID               : dad1b578-6639-30a7-90d3-196ff9514603
MEDIA                                    : CD
ORIGINALDATE                             : 2012-09-24
SCRIPT                                   : Latn
TRACK                                    : 3
TRACKC                                   : 9

Audio
Format                                   : FLAC
Format/Info                              : Free Lossless Audio Codec
Duration                                 : 4 min 55 s
Bit rate mode                            : Variable
Bit rate                                 : 812 kb/s
Channel(s)                               : 2 channels
Channel layout                           : L R
Sampling rate                            : 44.1 kHz
Bit depth                                : 16 bits
Compression mode                         : Lossless
Replay gain                              : -6.11 dB
Replay gain peak                         : 1.000000
Stream size                              : 28.7 MiB (95%)
Writing library                          : libFLAC 1.2.1 (UTC 2007-09-17)
Language                                 : English

Setup

• OS: Debian SID
• Python version: Python 2.7.18, Python 3.9.1+
• beets version: 1.4.9-7

My configuration (output of beet config) is:

directory: /media/wargreen/ebf12476-be6c-4f3f-94e3-0d93b255464f/Stock/MuZiKs/FlacLib
ignore: .AppleDouble ._* *~ .DS_Store
threaded: yes

plugins: acousticbrainz fromfilename web inline replaygain discogs mbsubmit chroma

ui:
    color: yes

paths:
    default: $albumartist/$album/%if{$multidisc,CD $disc/}$track $title
per_disc_numbering: yes
item_fields:
    multidisc: 1 if disctotal > 1 else 0
replaygain:
    backend: gstreamer
    overwrite: no
    auto: yes
    targetlevel: 89
    r128: [Opus]
pathfields: {}
album_fields: {}
chroma:
    auto: yes
web:
    host: 127.0.0.1
    port: 8337
    cors: ''
    cors_supports_credentials: no
    reverse_proxy: no
    include_paths: no
acousticbrainz:
    auto: yes
    force: no
    tags: []
discogs:
    apikey: REDACTED
    apisecret: REDACTED
    tokenfile: discogs_token.json
    source_weight: 0.5
    user_token: REDACTED
mbsubmit:
    format: $track. $title - $artist ($length)
    threshold: medium

[sampsyo]

The main thing that would need to be done is to extend MediaFile, which contains all the mappings to specific tag formats. See the long list of MediaField declarations, starting here: https://github.com/beetbox/mediafile/blob/badcd224e79f28574ae97d832456e28fb659e26a/mediafile.py#L1770-L1775

[wargreen]

We have write a plugin for Picard, the pull request is here https://github.com/metabrainz/picard-plugins/pull/304 In this plugin i popose tags with the form : AB.[classifier].[feature]=[value] . So we get tags as :

AB.DANCEABILITY.DANCEABLE                : 0.637822628021
AB.DANCEABILITY.NOT DANCEABLE            : 0.362177342176
AB.GENDER.FEMALE                         : 0.719979047775
AB.GENDER.MALE                           : 0.280020922422
AB.GENRE_DORTMUND.ALTERNATIVE            : 0.000291061704047
AB.GENRE_DORTMUND.BLUES                  : 8.67772268975e-06
AB.GENRE_DORTMUND.ELECTRONIC             : 0.999585092068

I hope that it is a good way ! For now we tag only the features in the “all” key of the highlevel AB json, cause other can be determined from theses. It work well for Vorbis, id3 and m4a tags.