Files
vrobbler/PROJECT.org
Colin Powell 3cec979d0a
All checks were successful
ci / test (push) Successful in 2m22s
ci / build-and-deploy (push) Successful in 1m26s
[release] Bump to version 65.0
- Investigate how historice lastfm imports work
- Fix LookupError on scrobble start/long-plays views
- Add Flexify workout importer
- Add workouts app with exercise catalog and workout routines
- When sharing a scrobble, share the log data too
2026-08-08 00:04:53 -04:00

560 lines
20 KiB
Org Mode

#+title: Vrobbler Project
We should convert this PROJECT file to put tickets in a subdirectory, tickets, with each ticket having it's own shortid_title.org
* Overview
Vrobbler began humbly enough as a way to use Jellyfin's webhook to keep track of
the shows and movies I was watching. More specifically, I broke my ankle a few
days after Christmas in 2022 and spent the next four months very slowly
recovering after surgical repair. So once I had the webhook working, and
scrobbling videos, it was only a matter of time till I expaned it to mopidy to
replicate LastFM. Then I added board games, books via KoReader, sports events,
podcasts ... it just keeps going. Vrobbler is now a sort of Frankenstein's
monster of scrobbling an entire life.
I am still unconvinced I can keep this going, but being able to scrobble org
tasks, Todoist tasks, web pages I've read and trails I've hiked has turned out
to be sometimes cathartic and sometimes functional as I try to remember when I
did a thing.
* Backlog [0/24] :vrobbler:project:personal:
** TODO [#C] After transition to linux add curl_cffi as webpage scrapper again :webpages:metadata:
:PROPERTIES:
:ID: d3cce1a7-d540-4d66-bf66-e75378e4eac7
:END:
** TODO [#C] Create small utility to clean up tracks scrobbled with wonky playback times :bug:music:scrobbles:
:PROPERTIES:
:ID: 702462cf-d54b-48c6-8a7c-78b8de751deb
:END:
** TODO [#C] Move to using more robust mopidy-webhooks pacakge form pypi :utility:improvement:
:PROPERTIES:
:ID: ab31fdc3-359c-1b1d-6b9d-546b476021ba
:END:
*** Example payloads from mopidy-webhooks
**** Podcast playback ended
#+begin_src json
{
"type": "event",
"event": "track_playback_ended",
"data": {
"tl_track": {
"__model__": "TlTrack",
"tlid": 13,
"track": {
"__model__": "Track",
"uri": "file:///var/lib/mopidy/media/podcasts/The%20Prince/2022-09-28-Wolf-warriors.mp3",
"name": "Wolf warriors",
"artists": [
{
"__model__": "Artist",
"name": "The Economist"
}
],
"album": {
"__model__": "Album",
"name": "The Prince",
"date": "2022"
},
"genre": "Blues",
"date": "2022",
"length": 2437778,
"bitrate": 127988
}
},
"time_position": 3290
}
}
#+end_src
**** Podcast playback state changes
#+begin_src json
{
"type": "event",
"event": "playback_state_changed",
"data": {
"old_state": "paused",
"new_state": "playing"
}
}
#+end_src
#+begin_src json
{
"type": "event",
"event": "playback_state_changed",
"data": {
"old_state": "stopped",
"new_state": "playing"
}
}
#+end_src
**** Podcast playback started
#+begin_src json
{
"type": "event",
"event": "track_playback_started",
"data": {
"tl_track": {
"__model__": "TlTrack",
"tlid": 13,
"track": {
"__model__": "Track",
"uri": "file:///var/lib/mopidy/media/podcasts/The%20Prince/2022-09-28-Wolf-warriors.mp3",
"name": "Wolf warriors",
"artists": [
{
"__model__": "Artist",
"name": "The Economist"
}
],
"album": {
"__model__": "Album",
"name": "The Prince",
"date": "2022"
},
"genre": "Blues",
"date": "2022",
"length": 2437778,
"bitrate": 127988
}
}
}
}
#+end_src
**** Podcast playback paused
#+begin_src json
{
"type": "status",
"data": {
"state": "paused",
"current_track": {
"__model__": "Track",
"uri": "file:///var/lib/mopidy/media/podcasts/The%20Prince/2022-09-28-Wolf-warriors.mp3",
"name": "Wolf warriors",
"artists": [
{
"__model__": "Artist",
"name": "The Economist"
}
],
"album": {
"__model__": "Album",
"name": "The Prince",
"date": "2022"
},
"genre": "Blues",
"date": "2022",
"length": 2437778,
"bitrate": 127988
},
"time_position": 2350
}
}
#+end_src
**** Track playback started
#+begin_src json
{
"type": "event",
"event": "track_playback_started",
"data": {
"tl_track": {
"__model__": "TlTrack",
"tlid": 14,
"track": {
"__model__": "Track",
"uri": "local:track:Various%20Artists%20-%202008%20-%20Twilight%20OST/01-muse-supermassive_black_hole.mp3",
"name": "Supermassive Black Hole",
"artists": [
{
"__model__": "Artist",
"uri": "local:artist:md5:250dd6551b66a58a6b4897aa697f200c",
"name": "Muse",
"musicbrainz_id": "9c9f1380-2516-4fc9-a3e6-f9f61941d090"
}
],
"album": {
"__model__": "Album",
"uri": "local:album:md5:455343d54cdd89cb5a3b5ad537ea99d0",
"name": "Twilight: Original Motion Picture Soundtrack",
"artists": [
{
"__model__": "Artist",
"uri": "local:artist:md5:54e4db2d5624f80b0cc290346e696756",
"name": "Various Artists",
"musicbrainz_id": "89ad4ac3-39f7-470e-963a-56509c546377"
}
],
"num_tracks": 12,
"num_discs": 1,
"date": "2008-11-04",
"musicbrainz_id": "b4889eaf-d9f4-434c-a68d-69227b12b6a4"
},
"composers": [
{
"__model__": "Artist",
"uri": "local:artist:md5:4d49cbca0b347e0a89047bb019d2779d",
"name": "Matt Bellamy"
}
],
"genre": "Rock",
"track_no": 1,
"disc_no": 1,
"date": "2008-11-04",
"length": 211121,
"musicbrainz_id": "ff1e3e1a-f6e8-4692-b426-355880383bb6",
"last_modified": 1672712949510
}
}
}
}
#+end_src
**** Track playback in progress
#+begin_src json
{
"type": "status",
"data": {
"state": "playing",
"current_track": {
"__model__": "Track",
"uri": "local:track:Various%20Artists%20-%202008%20-%20Twilight%20OST/01-muse-supermassive_black_hole.mp3",
"name": "Supermassive Black Hole",
"artists": [
{
"__model__": "Artist",
"uri": "local:artist:md5:250dd6551b66a58a6b4897aa697f200c",
"name": "Muse",
"musicbrainz_id": "9c9f1380-2516-4fc9-a3e6-f9f61941d090"
}
],
"album": {
"__model__": "Album",
"uri": "local:album:md5:455343d54cdd89cb5a3b5ad537ea99d0",
"name": "Twilight: Original Motion Picture Soundtrack",
"artists": [
{
"__model__": "Artist",
"uri": "local:artist:md5:54e4db2d5624f80b0cc290346e696756",
"name": "Various Artists",
"musicbrainz_id": "89ad4ac3-39f7-470e-963a-56509c546377"
}
],
"num_tracks": 12,
"num_discs": 1,
"date": "2008-11-04",
"musicbrainz_id": "b4889eaf-d9f4-434c-a68d-69227b12b6a4"
},
"composers": [
{
"__model__": "Artist",
"uri": "local:artist:md5:4d49cbca0b347e0a89047bb019d2779d",
"name": "Matt Bellamy"
}
],
"genre": "Rock",
"track_no": 1,
"disc_no": 1,
"date": "2008-11-04",
"length": 211121,
"musicbrainz_id": "ff1e3e1a-f6e8-4692-b426-355880383bb6",
"last_modified": 1672712949510
},
"time_position": 17031
}
}
#+end_src
**** Track event playback paused
#+begin_src json
{
"type": "event",
"event": "track_playback_paused",
"data": {
"tl_track": {
"__model__": "TlTrack",
"tlid": 14,
"track": {
"__model__": "Track",
"uri": "local:track:Various%20Artists%20-%202008%20-%20Twilight%20OST/01-muse-supermassive_black_hole.mp3",
"name": "Supermassive Black Hole",
"artists": [
{
"__model__": "Artist",
"uri": "local:artist:md5:250dd6551b66a58a6b4897aa697f200c",
"name": "Muse",
"musicbrainz_id": "9c9f1380-2516-4fc9-a3e6-f9f61941d090"
}
],
"album": {
"__model__": "Album",
"uri": "local:album:md5:455343d54cdd89cb5a3b5ad537ea99d0",
"name": "Twilight: Original Motion Picture Soundtrack",
"artists": [
{
"__model__": "Artist",
"uri": "local:artist:md5:54e4db2d5624f80b0cc290346e696756",
"name": "Various Artists",
"musicbrainz_id": "89ad4ac3-39f7-470e-963a-56509c546377"
}
],
"num_tracks": 12,
"num_discs": 1,
"date": "2008-11-04",
"musicbrainz_id": "b4889eaf-d9f4-434c-a68d-69227b12b6a4"
},
"composers": [
{
"__model__": "Artist",
"uri": "local:artist:md5:4d49cbca0b347e0a89047bb019d2779d",
"name": "Matt Bellamy"
}
],
"genre": "Rock",
"track_no": 1,
"disc_no": 1,
"date": "2008-11-04",
"length": 211121,
"musicbrainz_id": "ff1e3e1a-f6e8-4692-b426-355880383bb6",
"last_modified": 1672712949510
}
},
"time_position": 67578
}
}
#+end_src
** TODO [#C] Allow auto trail tracking via email with Garmin LiveTrack URLs :trails:feature:
:PROPERTIES:
:ID: 133bcf71-078f-4efa-a029-1eae4b4d146d
:END:
** TODO [#C] Fix exporting so it works reliably :exporting:feature:
*** Description
The existing export function is very naieve. It runs in the web process, takes
too long and just dumps tracks. We should make it more robust by creating one
CSV file per scrobble media type and writing them into a zip file that gets
placed in the media directory:
`/media/exports/user_<user_id>/<timestamp>-export.zip`
And this should all be done in a celery task that is just kicked off by the
"Export" button on the frontend
** TODO [#B] Add AllTrails as a source for Trail data :trails:feature:
:PROPERTIES:
:ID: 39313362-cdfe-46e7-bbd4-9139a65c0b3c
:END:
*** Description
Pretty clear, I would love to make trails more useful. Historically I wasn't
hiking a lot, which made the source for this a bit silly. But it's clear that
AllTrails is the best source, though having TrailForks is nice to.
** TODO [#B] Add `garmin_activity_id` to the TrailLogData class :trails:feature:
:PROPERTIES:
:ID: 5a4fb0f8-0555-40ec-b06f-93c26bd686f4
:END:
*** Description
Would be nice to have some loose connection to the actual event in my Garmin
profile.
** TODO [#B] Fix how we show notes and descriptions from scrobbles to users :metadata:notes:tasks:
:PROPERTIES:
:ID: adf4c513-a417-4ec9-8831-f01ffcf63276
:END:
*** Description
Currently the display of notes leaves something to be desired. The biggest issue
is that they don't look good on mobile and are probably trying to be too cute.
Rather than post-it note style, we should just put notes in a list under the
description, above the Edit Log toggle, with timestamps for when they were
added.
They should also probably support markdown formatting and that should be
displayed in the template.
** TODO [#B] Add CSV endpoint for book scrobbles that LibraryThing can ingest :books:feature:export:
https://app.todoist.com/app/task/add-a-csv-endpoint-for-users-book-reads-that-library-thing-can-ingest-6X7QPMRp265xMXqg#comment-6X7QrXq6gJjMP4hg
** TODO [#B] Make IMAP and WebDAV configurable :webdav:feature:imap:importers:
:PROPERTIES:
:ID: b1426d92-2feb-4d15-9738-d5b7b0594f96
:END:
*** Description
Currently we have webdav able to import post types of file-based incoming data,
usually in the form of CSVs but also gpx files, bgstats json files, and
audioscrobbler TSV files.
What if the user could specify via their profile (settings) which imports they
wanted to use IMAP for and which ones they wanted to use WebDAV for.
Then we'd have two celery tasks that would be kicked off periodically via
celerybeat, one for IMAP imports every 12 minutes and one for WebDAV every 3
minutes. Both would be responsible for checking if a user has an configured
imports of their type, check if an import needs to run, and dispatch the
needed import celery task. This is how the WebDAV celery task currently works.
This would also be an opporunity to clean up the code around WebDAV imports
and make them more re-usable for other import services.
** TODO [#A] Add an exception list of artists as a constant that are exempted from splitting :music:artists:metadata:
:PROPERTIES:
:ID: fd86a11a-73ec-470d-b5e3-2d90ba9137c8
:END:
*** Description
Certain artists like "Simon & Garfunkel" are actually one artist. While we don't want to mess with splitting up
tracks into featured artists, we should have a "LITERAL_ARTIST_TITLES" constant that can have exceptions like
this put into it and then we stop trying to pull the artist apart when we run into it.
** TODO [#A] Before enriching anything, trust the POST data :feature:scrobbles:metadata:
:PROPERTIES:
:ID: db6b05f8-09f4-49f5-9838-fbacc9fe9cd0
:END:
*** Description
Both Jellyfin and Mopidy provide a decent amount of metadata when they POST to our webhooks.
In most cases, we should be able to trust this data to created music tracks or videos rather
than going to third-party services to enrich. Thus, for tracks and videos we should search in
the local database for imdb_id or musicbrainz_id for the specific content and, if found, not
enrich further.
If not found, tracks and videos from mopidy and jellyfin should be created as completely as
possible using only the POST data from the webhooks, tagged the scrobble with "webhook-metadata-only"
and start the scrobble. A separate celery task should be kicked off to enrich the track or video
async with the POST data stored in the log["raw_data"] and used by the celery enrichment task
to go try to enrich the media instance. Should this enrichment fail, tag the scrobble as "enrichment-failed"
log a warning and move on.
** TODO [#B] Allow browing a user's favorited media :favorites:feature:
:PROPERTIES:
:ID: 5c2cf004-d01f-4576-9bbb-974235e7408a
:END:
*** Description
We should have a global view `/favorites/` that shows the logged in users's
favorited media objects.
** TODO [#B] Find page numbers for comic books from ComicVine :feature:books:
:PROPERTIES:
:ID: 79f867c3-1288-4143-b6bf-2a452983ee9f
:END:
** TODO [#C] Implement loguru into project :feature:loguru:logging:
:PROPERTIES:
:ID: efcd0c0a-db81-4518-9c23-5505d59e8ef5
:END:
*** Description
Would be great to formalize how we log so we can search for errors and such more
easily. And our exposure to PII is really low at this point in the project,
so we can probably use backtrace=True and diagnose=True to help us root cause
bugs faster.
** TODO [#B] Scrape ComicBookRoundUp ratings for comic book metadata :books:feature:comicbook:
:PROPERTIES:
:ID: b3cc57ca-3d2c-468d-ab7c-c47f1120309b
:END:
*** Description
As an example https://comicbookroundup.com/comic-books/reviews/humanoids-publishing/the-history-of-science-fiction
** TODO [#C] Make podcast date format configurable in settings :podcasts:configuration:
:PROPERTIES:
:ID: b01a94f8-328f-41ed-a62e-8b99c755b82d
:END:
*** Description
=PODCAST_DATE_FORMAT= is hardcoded to ="YYYY-MM-DD"=. Should be in Django settings or environment variables for deploy-specific configuration.
File: ~vrobbler/apps/podcasts/utils.py~ (line 13)
** TODO [#C] Extract zombie scrobble query into custom manager :refactoring:manager:
:PROPERTIES:
:ID: 79c874e1-ca6f-4bce-9259-e3eebdca8a41
:END:
*** Description
The zombie scrobble cleanup query lives in a utility function. Should be a
custom model manager method (e.g. =Scrobble.objects.zombies()=).
File: ~vrobbler/apps/scrobbles/utils.py~ (line 204)
** TODO [#C] Allow profile to set start of week :profiles:configuration:
:PROPERTIES:
:ID: 0449279a-9550-430e-be0c-816df7273080
:END:
*** Description
=start_of_week()= and =end_of_week()= use Monday as default. Should be a user
profile setting for different cultural week start conventions.
File: ~vrobbler/apps/profiles/utils.py~ (lines 39, 44)
** TODO [#C] Add constants for data dictionary keys (multiple files) :refactoring:constants:
:PROPERTIES:
:ID: d4415f9b-620a-4be7-925d-fa71c02ba1d1
:END:
*** Description
Multiple files use magic string literals for dict keys. Should be extracted to
named constants for maintainability.
- Files:
- ~vrobbler/apps/locations/models.py~ (line 63) -- ="lat"=, ="lon"= etc.
- ~vrobbler/apps/webpages/models.py~ (line 290) -- ="url"=
- ~vrobbler/apps/scrobbles/importers/tsv.py~ (line 55) -- ="S"= completion status
** TODO [#B] Is there way to create unique slugs for media instances :media_types:
** TODO [#A] Update how board game scrobbles work :boardgames:
*** Description
When we scrobble a board game from a BGG URL, instead of going to the media
detail page, we should go to the scrobble detail page, with the Edit Log form
expanded by default.
The Edit log form should have from top to bottom:
- Board/Variant (one or many BoardGameVariant in a multi-select widget)
- People (which should be similar to the Bird widget on BirdLocation and allow setting per user score, win true/false, rank, new true/false, seat_ordrer)
- Expansion ids (which should a multi-select widget of expansions for this game)
- Location (which should be a drop down of BoardGameLocations for this user)
** TODO [#B] Auto sync board game scrobbles to BGG :boardgames:
*** Description
** TODO [#A] Add trends tests for concurrent trends :trends:tests:concurrent:
:PROPERTIES:
:ID: ca613753-d203-4429-b062-36e3312bca82
:END:
*** Description
Added a `workouts` Django app so we can scrobble gym sessions.
- New `Exercise` model with the wrkout/exercises.json catalog (873 exercises),
imported via `python manage.py import_wrkout_exercises`. Image files come from
inside the tarball and are stored via ImageKit specs.
- New `WorkoutRoutine` model (ScrobblableMixin, media_type_label "Workout"),
scrobbled through the existing Scrobble system with a `workout_routine` FK and
`WorkoutLogData` storing sets/reps/weight per exercise plus duration, bodyweight
and RPE.
- Weights are stored canonically in kg; the profile's `weigh_in_units` setting
drives form input and display units. A generic
`apply_media_unit_conversions` helper in scrobbles/utils.py handles both
drinks (`size_ml`) and workout weights, fixing the old GET-only drinks
conversion so imperial POSTs store kg.
- Templates, admin, DRF viewsets (`exercises`, `workout-routines`), MCP tools,
and `tests/workouts_tests/` (unit conversion, form round-trips, importer,
imperial POST) included.