implement listening and favorite sync with listenbrainz

Part-of: <https://dev.funkwhale.audio/funkwhale/funkwhale/-/merge_requests/2658>
environments/review-docs-2079-tp5oqz/deployments/19381
Petitminion 2023-11-29 21:12:23 +01:00 zatwierdzone przez Ciarán Ainsworth
rodzic 94a5b9e696
commit 6414302899
15 zmienionych plików z 382 dodań i 5 usunięć

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@ -303,6 +303,23 @@ LISTENING_CREATED = "listening_created"
"""
Called when a track is being listened
"""
LISTENING_SYNC = "listening_sync"
"""
Called by the task manager to trigger listening sync
"""
FAVORITE_CREATED = "favorite_created"
"""
Called when a track is being liked
"""
FAVORITE_DELETED = "favorite_deleted"
"""
Called when a favorite track is being unliked
"""
FAVORITE_SYNC = "favorite_sync"
"""
Called by the task manager to trigger favorite sync
"""
SCAN = "scan"
"""

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@ -276,6 +276,7 @@ LOCAL_APPS = (
# Your stuff: custom apps go here
"funkwhale_api.instance",
"funkwhale_api.audio",
"funkwhale_api.contrib.listenbrainz",
"funkwhale_api.music",
"funkwhale_api.requests",
"funkwhale_api.favorites",

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@ -2,23 +2,40 @@ import liblistenbrainz
from django.utils import timezone
import funkwhale_api
from config import plugins
import pylistenbrainz
<<<<<<< HEAD
=======
from config import plugins
from django.utils import timezone
from . import tasks
>>>>>>> bf0c861a0 (implement listening and favorite sync with listenbrainz)
from .funkwhale_startup import PLUGIN
from funkwhale_api.history import models as history_models
from funkwhale_api.favorites import models as favorites_models
@plugins.register_hook(plugins.LISTENING_CREATED, PLUGIN)
def submit_listen(listening, conf, **kwargs):
user_token = conf["user_token"]
if not user_token:
if not user_token and not conf["submit_listenings"]:
return
logger = PLUGIN["logger"]
logger.info("Submitting listen to ListenBrainz")
<<<<<<< HEAD
client = liblistenbrainz.ListenBrainz()
client.set_auth_token(user_token)
listen = get_listen(listening.track)
=======
listen = get_listen(listening.track)
client = pylistenbrainz.ListenBrainz()
client.set_auth_token(user_token)
>>>>>>> bf0c861a0 (implement listening and favorite sync with listenbrainz)
client.submit_single_listen(listen)
@ -48,10 +65,91 @@ def get_listen(track):
if upload:
additional_info["duration"] = upload.duration
<<<<<<< HEAD
return liblistenbrainz.Listen(
=======
return pylistenbrainz.Listen(
>>>>>>> bf0c861a0 (implement listening and favorite sync with listenbrainz)
track_name=track.title,
artist_name=track.artist.name,
listened_at=int(timezone.now()),
release_name=release_name,
additional_info=additional_info,
)
<<<<<<< HEAD
=======
@plugins.register_hook(plugins.FAVORITE_CREATED, PLUGIN)
def submit_favorite_creation(track_favorite, conf, **kwargs):
user_token = conf["user_token"]
if not user_token or not conf["submit_favorites"]:
return
logger = PLUGIN["logger"]
logger.info("Submitting favorite to ListenBrainz")
client = pylistenbrainz.ListenBrainz()
track = get_listen(track_favorite.track)
if not track.mbid:
logger.warning(
"This tracks doesn't have a mbid. Feedback will not be sublited to Listenbrainz"
)
return
# client.feedback(track, 1)
@plugins.register_hook(plugins.FAVORITE_DELETED, PLUGIN)
def submit_favorite_deletion(track_favorite, conf, **kwargs):
user_token = conf["user_token"]
if not user_token or not conf["submit_favorites"]:
return
logger = PLUGIN["logger"]
logger.info("Submitting favorite deletion to ListenBrainz")
client = pylistenbrainz.ListenBrainz()
track = get_listen(track_favorite.track)
if not track.mbid:
logger.warning(
"This tracks doesn't have a mbid. Feedback will not be submited to Listenbrainz"
)
return
# client.feedback(track, 0)
@plugins.register_hook(plugins.LISTENING_SYNC, PLUGIN)
def sync_listenings_from_listenbrainz(user, conf):
user_name = conf["user_name"]
user_token = conf["user_token"]
if not user_name or not conf["sync_listenings"]:
return
logger = PLUGIN["logger"]
logger.info("Getting listenings from ListenBrainz")
try:
last_ts = (
history_models.Listening.objects.filter(user=user)
.filter(from_listenbrainz=True)
.latest("creation_date")
.values_list("creation_date", flat=True)
)
except history_models.Listening.DoesNotExist:
tasks.import_listenbrainz_listenings(user, user_name, ts=0)
tasks.import_listenbrainz_listenings(user, user_name, ts=last_ts)
@plugins.register_hook(plugins.FAVORITE_SYNC, PLUGIN)
def sync_favorites_from_listenbrainz(user, conf):
user_name = conf["user_name"]
user_token = conf["user_token"]
if not user_name or not conf["sync_favorites"]:
return
try:
last_ts = (
favorites_models.TrackFavorite.objects.filter(user=user)
.filter(from_listenbrainz=True)
.latest("creation_date")
.values_list("creation_date", flat=True)
)
except history_models.Listening.DoesNotExist:
tasks.import_listenbrainz_favorites(user, user_name, last_ts)
>>>>>>> bf0c861a0 (implement listening and favorite sync with listenbrainz)

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@ -3,7 +3,7 @@ from config import plugins
PLUGIN = plugins.get_plugin_config(
name="listenbrainz",
label="ListenBrainz",
description="A plugin that allows you to submit your listens to ListenBrainz.",
description="A plugin that allows you to submit or sync your listens and favorites to ListenBrainz.",
homepage="https://docs.funkwhale.audio/users/builtinplugins.html#listenbrainz-plugin", # noqa
version="0.3",
user=True,
@ -13,6 +13,45 @@ PLUGIN = plugins.get_plugin_config(
"type": "text",
"label": "Your ListenBrainz user token",
"help": "You can find your user token in your ListenBrainz profile at https://listenbrainz.org/profile/",
}
},
{
"name": "user_name",
"type": "text",
"required": False,
"label": "Your ListenBrainz user name.",
"help": "It's needed for synchronisation with Listenbrainz (import listenings and favorites) \
but not to send activities",
},
{
"name": "submit_listenings",
"type": "boolean",
"default": True,
"label": "Enable listenings submission to Listenbrainz",
"help": "If enable, your listening from Funkwhale will be imported into ListenBrainz.",
},
{
"name": "sync_listenings",
"type": "boolean",
"default": False,
"label": "Enable listenings sync",
"help": "If enable, your listening from Listenbrainz will be imported into Funkwhale. This means they \
will be used has any other funkwhale listenings to filter out recently listened content or \
generate recomendations",
},
{
"name": "sync_facorites",
"type": "boolean",
"default": False,
"label": "Enable favorite sync",
"help": "If enable, your favorites from Listenbrainz will be imported into Funkwhale. This means they \
will be used has any other funkwhale favorites (Ui display, federatipon activity)",
},
{
"name": "submit_favorites",
"type": "boolean",
"default": False,
"label": "Enable favorite submition to Listenbrainz services",
"help": "If enable, your favorites from Funkwhale will be submit to Listenbrainz",
},
],
)

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@ -0,0 +1,90 @@
import datetime
import pylistenbrainz
from config import plugins
from django.utils import timezone
from funkwhale_api.users import models
from funkwhale_api.taskapp import celery
from funkwhale_api.history import models as history_models
from funkwhale_api.music import models as music_models
@celery.app.task(name="listenbrainz.trigger_listening_sync_with_listenbrainz")
def trigger_listening_sync_with_listenbrainz():
now = timezone.now()
active_month = now - datetime.timedelta(days=30)
users = (
models.User.objects.filter(plugins__code="listenbrainz")
.filter(plugins__conf__sync_listenings=True)
.filter(last_activity__gte=active_month)
)
for user in users:
plugins.trigger_hook(
plugins.LISTENING_SYNC,
user=user,
confs=plugins.get_confs(user),
)
@celery.app.task(name="listenbrainz.trigger_favorite_sync_with_listenbrainz")
def trigger_favorite_sync_with_listenbrainz():
now = timezone.now()
active_month = now - datetime.timedelta(days=30)
users = (
models.User.objects.filter(plugins__code="listenbrainz")
.filter(plugins__conf__sync_listenings=True)
.filter(last_activity__gte=active_month)
)
for user in users:
plugins.trigger_hook(
plugins.FAVORITE_SYNC,
user=user,
confs=plugins.get_confs(user),
)
@celery.app.task(name="listenbrainz.import_listenbrainz_listenings")
def import_listenbrainz_listenings(user, user_name, ts):
client = pylistenbrainz.ListenBrainz()
listens = client.get_listens(username=user_name, min_ts=ts, count=100)
add_lb_listenings_to_db(listens, user)
new_ts = 13
last_ts = 12
while new_ts != last_ts:
last_ts = listens[0].listened_at
listens = client.get_listens(username=user_name, min_ts=new_ts, count=100)
new_ts = listens[0].listened_at
add_lb_listenings_to_db(listens, user)
def add_lb_listenings_to_db(listens, user):
fw_listens = []
for listen in listens:
if (
listen.additional_info.get("submission_client")
and listen.additional_info.get("submission_client")
== "Funkwhale ListenBrainz plugin"
):
continue
try:
track = music_models.Track.objects.get(mbid=listen.recording_mbid)
except music_models.Track.DoesNotExist:
# to do : resolve non mbid listens ?
continue
user = user
fw_listen = history_models.Listening(
creation_date=listen.listened_at,
track=track,
user=user,
from_listenbrainz=True,
)
fw_listens.append(fw_listen)
history_models.Listening.objects.bulk_create(fw_listens)
@celery.app.task(name="listenbrainz.import_listenbrainz_favorites")
def import_listenbrainz_favorites():
return "to do"

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@ -0,0 +1,18 @@
# Generated by Django 3.2.20 on 2023-11-29 15:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('favorites', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='trackfavorite',
name='from_listenbrainz',
field=models.BooleanField(default=None, null=True),
),
]

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@ -12,6 +12,7 @@ class TrackFavorite(models.Model):
track = models.ForeignKey(
Track, related_name="track_favorites", on_delete=models.CASCADE
)
from_listenbrainz = models.BooleanField(default=None, null=True)
class Meta:
unique_together = ("track", "user")

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@ -1,3 +1,5 @@
from config import plugins
from django.db.models import Prefetch
from drf_spectacular.utils import extend_schema
from rest_framework import mixins, status, viewsets
@ -44,6 +46,11 @@ class TrackFavoriteViewSet(
instance = self.perform_create(serializer)
serializer = self.get_serializer(instance=instance)
headers = self.get_success_headers(serializer.data)
plugins.trigger_hook(
plugins.FAVORITE_CREATED,
track_favorite=serializer.instance,
confs=plugins.get_confs(self.request.user),
)
record.send(instance)
return Response(
serializer.data, status=status.HTTP_201_CREATED, headers=headers
@ -76,6 +83,11 @@ class TrackFavoriteViewSet(
except (AttributeError, ValueError, models.TrackFavorite.DoesNotExist):
return Response({}, status=400)
favorite.delete()
plugins.trigger_hook(
plugins.FAVORITE_DELETED,
track_favorite=favorite,
confs=plugins.get_confs(self.request.user),
)
return Response([], status=status.HTTP_204_NO_CONTENT)
@extend_schema(

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@ -0,0 +1,18 @@
# Generated by Django 3.2.20 on 2023-11-29 15:19
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('history', '0002_auto_20180325_1433'),
]
operations = [
migrations.AddField(
model_name='listening',
name='from_listenbrainz',
field=models.BooleanField(default=None, null=True),
),
]

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@ -17,6 +17,7 @@ class Listening(models.Model):
on_delete=models.CASCADE,
)
session_key = models.CharField(max_length=100, null=True, blank=True)
from_listenbrainz = models.BooleanField(default=None, null=True)
class Meta:
ordering = ("-creation_date",)

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@ -36,7 +36,6 @@ def delete_non_alnum_characters(text):
def resolve_recordings_to_fw_track(recordings):
"""
Tries to match a troi recording entity to a fw track using the typesense index.
It will save the results in the match_mbid attribute of the Track table.
For test purposes : if multiple fw tracks are returned, we log the information
but only keep the best result in db to avoid duplicates.
"""

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@ -0,0 +1,35 @@
import pytest
from django.urls import reverse
from config import plugins
from funkwhale_api.history import models as history_models
def test_listenbrainz_submit_listen(logged_in_client, mocker, factories):
plugin = plugins.get_plugin_config(
name="listenbrainz",
description="A plugin that allows you to submit or sync your listens and favorites to ListenBrainz.",
conf=[],
source=False,
)
handler = mocker.Mock()
plugins.register_hook(plugins.LISTENING_CREATED, plugin)(handler)
plugins.set_conf(
"listenbrainz",
{
"sync_listenings": True,
"sync_facorites": True,
"submit_favorites": True,
"sync_favorites": True,
"user_token": "blablabla",
},
user=logged_in_client.user,
)
plugins.enable_conf("listenbrainz", True, logged_in_client.user)
track = factories["music.Track"]()
url = reverse("api:v1:history:listenings-list")
logged_in_client.post(url, {"track": track.pk})
response = logged_in_client.get(url)
listening = history_models.Listening.objects.get(user=logged_in_client.user)
handler.assert_called_once_with(listening=listening, conf=None)
# why conf=none ?

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@ -0,0 +1,48 @@
import datetime
import pytest
import pylistenbrainz
from funkwhale_api.contrib.listenbrainz import tasks
from funkwhale_api.history import models as history_models
def test_import_listenbrainz_listenings(factories, mocker):
factories["music.Track"](mbid="f89db7f8-4a1f-4228-a0a1-e7ba028b7476")
factories["music.Track"](mbid="54c60860-f43d-484e-b691-7ab7ec8de559")
listens = [
pylistenbrainz.utils.Listen(
track_name="test",
artist_name="artist_test",
recording_mbid="f89db7f8-4a1f-4228-a0a1-e7ba028b7476",
additional_info={"submission_client": "not funkwhale"},
listened_at=datetime.datetime.fromtimestamp(-3124224000),
),
pylistenbrainz.utils.Listen(
track_name="test2",
artist_name="artist_test2",
recording_mbid="54c60860-f43d-484e-b691-7ab7ec8de559",
additional_info={"submission_client": "Funkwhale ListenBrainz plugin"},
listened_at=datetime.datetime.fromtimestamp(1871),
),
pylistenbrainz.utils.Listen(
track_name="test3",
artist_name="artist_test3",
listened_at=0,
),
]
mocker.patch.object(
tasks.pylistenbrainz.ListenBrainz, "get_listens", return_value=listens
)
user = factories["users.User"]()
tasks.import_listenbrainz_listenings(user, "user_name", ts=0)
history_models.Listening.objects.filter(
track__mbid="f89db7f8-4a1f-4228-a0a1-e7ba028b7476"
).exists()
assert not history_models.Listening.objects.filter(
track__mbid="54c60860-f43d-484e-b691-7ab7ec8de559"
).exists()