kopia lustrzana https://dev.funkwhale.audio/funkwhale/funkwhale
Create a testing environment in production for ListenBrainz recommendation engine (troi-recommendation-playground)
petitminion
rodzic
cc0f8f395c
commit
f821dcbbc2
1
.env.dev
1
.env.dev
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@ -20,3 +20,4 @@ MEDIA_ROOT=/data/media
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# Customize to your needs
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POSTGRES_VERSION=11
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DEBUG=true
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TYPESENSE_API_KEY="apikey"
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@ -253,7 +253,7 @@ test_api:
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CACHE_URL: "redis://redis:6379/0"
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before_script:
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- cd api
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- poetry install
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- poetry install --all-extras
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script:
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- >
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poetry run pytest
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@ -354,7 +354,7 @@ build_api_schema:
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API_TYPE: "v1"
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before_script:
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- cd api
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- poetry install
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- poetry install --all-extras
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- poetry run funkwhale-manage migrate
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script:
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- poetry run funkwhale-manage spectacular --file ../docs/schema.yml
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@ -272,6 +272,7 @@ LOCAL_APPS = (
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"funkwhale_api.playlists",
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"funkwhale_api.subsonic",
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"funkwhale_api.tags",
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"funkwhale_api.typesense",
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)
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# See: https://docs.djangoproject.com/en/dev/ref/settings/#installed-apps
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@ -934,6 +935,11 @@ CELERY_BEAT_SCHEDULE = {
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),
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"options": {"expires": 60 * 60},
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},
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"typesense.build_canonical_index": {
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"task": "typesense.build_canonical_index",
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"schedule": crontab(day_of_week="*/2", minute="0", hour="3"),
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"options": {"expires": 60 * 60 * 24},
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},
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}
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if env.bool("ADD_ALBUM_TAGS_FROM_TRACKS", default=True):
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@ -1477,3 +1483,4 @@ TYPESENSE_HOST = env(
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Typesense hostname. Defaults to `localhost` on non-Docker deployments and to `typesense` on
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Docker deployments.
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"""
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TYPESENSE_NUM_TYPO = env("TYPESENSE_NUM_TYPO", default=5)
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@ -149,3 +149,5 @@ MIDDLEWARE = (
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"funkwhale_api.common.middleware.ProfilerMiddleware",
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"funkwhale_api.common.middleware.PymallocMiddleware",
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) + MIDDLEWARE
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TYPESENSE_API_KEY = "apikey"
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@ -6,3 +6,4 @@ from .common import * # noqa
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DEBUG = True
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SECRET_KEY = "a_super_secret_key!"
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TYPESENSE_API_KEY = "apikey"
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@ -0,0 +1,13 @@
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from django.core.management.base import BaseCommand
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from funkwhale_api.typesense import tasks
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class Command(BaseCommand):
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help = """
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Trigger the generation of a new typesense index for canonical Funkwhale tracks metadata.
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This is use to resolve Funkwhale tracks to MusicBrainz ids"""
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def handle(self, *args, **kwargs):
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tasks.build_canonical_index.delay()
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self.stdout.write("Tasks launched in celery worker.")
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@ -0,0 +1,135 @@
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import logging
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import time
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import troi
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import troi.core
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from django.core.cache import cache
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from django.core.exceptions import ValidationError
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from django.db.models import Q
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from requests.exceptions import ConnectTimeout
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from funkwhale_api.music import models as music_models
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from funkwhale_api.typesense import utils
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logger = logging.getLogger(__name__)
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patches = troi.utils.discover_patches()
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SUPPORTED_PATCHES = patches.keys()
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def run(config, **kwargs):
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"""Validate the received config and run the queryset generation"""
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candidates = kwargs.pop("candidates", music_models.Track.objects.all())
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validate(config)
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return TroiPatch().get_queryset(config, candidates)
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def validate(config):
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patch = config.get("patch")
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if patch not in SUPPORTED_PATCHES:
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raise ValidationError(
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'Invalid patch "{}". Supported patches: {}'.format(
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config["patch"], SUPPORTED_PATCHES
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)
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)
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return True
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def build_radio_queryset(patch, config, radio_qs):
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"""Take a troi patch and its arg, match the missing mbid and then build a radio queryset"""
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logger.info("Config used for troi radio generation is " + str(config))
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start_time = time.time()
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try:
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recommendations = troi.core.generate_playlist(patch, config)
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except ConnectTimeout:
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raise ValueError(
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"Timed out while connecting to ListenBrainz. No candidates could be retrieved for the radio."
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)
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end_time_rec = time.time()
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logger.info("Troi fetch took :" + str(end_time_rec - start_time))
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if not recommendations:
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raise ValueError("No candidates found by troi")
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recommended_recording_mbids = [
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recommended_recording.mbid
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for recommended_recording in recommendations.playlists[0].recordings
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]
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logger.info("Searching for MusicBrainz ID in Funkwhale database")
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qs_mbid = music_models.Track.objects.all().filter(
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mbid__in=recommended_recording_mbids
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)
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mbids_found = [str(i.mbid) for i in qs_mbid]
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recommended_recording_mbids_not_found = [
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mbid for mbid in recommended_recording_mbids if mbid not in mbids_found
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]
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cached_mbid_match = cache.get_many(recommended_recording_mbids_not_found)
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if qs_mbid and cached_mbid_match:
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logger.info("MusicBrainz IDs found in Funkwhale database and redis")
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mbids_found = [str(i.mbid) for i in qs_mbid]
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mbids_found.extend([i for i in cached_mbid_match.keys()])
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elif qs_mbid and not cached_mbid_match:
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logger.info("MusicBrainz IDs found in Funkwhale database")
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mbids_found = mbids_found
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elif not qs_mbid and cached_mbid_match:
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logger.info("MusicBrainz IDs found in redis cache")
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mbids_found = [i for i in cached_mbid_match.keys()]
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else:
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logger.info(
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"Couldn't find any matches in Funkwhale database. Trying to match all"
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)
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mbids_found = []
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recommended_recordings_not_found = [
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i for i in recommendations.playlists[0].recordings if i.mbid not in mbids_found
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]
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logger.info("Matching missing MusicBrainz ID to Funkwhale track")
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start_time_resolv = time.time()
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utils.resolve_recordings_to_fw_track(recommended_recordings_not_found)
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end_time_resolv = time.time()
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logger.info(
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"Resolving "
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+ str(len(recommended_recordings_not_found))
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+ " tracks in "
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+ str(end_time_resolv - start_time_resolv)
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)
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cached_mbid_match = cache.get_many(recommended_recording_mbids_not_found)
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if not qs_mbid and not cached_mbid_match:
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raise ValueError("No candidates found for troi radio")
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logger.info("Radio generation with troi took " + str(end_time_resolv - start_time))
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logger.info("qs_mbid is " + str(mbids_found))
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if qs_mbid and cached_mbid_match:
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return radio_qs.filter(
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Q(mbid__in=mbids_found) | Q(pk__in=cached_mbid_match.values())
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)
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if qs_mbid and not cached_mbid_match:
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return radio_qs.filter(mbid__in=mbids_found)
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if not qs_mbid and cached_mbid_match:
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return radio_qs.filter(pk__in=cached_mbid_match.values())
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class TroiPatch:
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code = "troi-patch"
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label = "Troi Patch"
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def get_queryset(self, config, qs):
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patch_string = config.pop("patch")
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patch = patches[patch_string]
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return build_radio_queryset(patch(), config, qs)
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@ -1,4 +1,5 @@
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import datetime
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import json
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import logging
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import random
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from typing import List, Optional, Tuple
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@ -12,6 +13,7 @@ from funkwhale_api.federation import fields as federation_fields
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from funkwhale_api.federation import models as federation_models
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from funkwhale_api.moderation import filters as moderation_filters
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from funkwhale_api.music.models import Artist, Library, Track, Upload
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from funkwhale_api.radios import lb_recommendations
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from funkwhale_api.tags.models import Tag
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from . import filters, models
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@ -189,9 +191,7 @@ class CustomMultiple(SessionRadio):
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def validate_session(self, data, **context):
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data = super().validate_session(data, **context)
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try:
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data["config"] is not None
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except KeyError:
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if data.get("config") is None:
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raise serializers.ValidationError(
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"You must provide a configuration for this radio"
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)
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@ -405,3 +405,58 @@ class RecentlyAdded(SessionRadio):
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Q(artist__content_category="music"),
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Q(creation_date__gt=date),
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)
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# Use this to experiment on the custom multiple radio with troi
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@registry.register(name="troi")
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class Troi(SessionRadio):
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"""
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Receive a vuejs generated config and use it to launch a troi radio session.
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The config data should follow :
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{"patch": "troi_patch_name", "troi_arg1":"troi_arg_1", "troi_arg2": ...}
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Validation of the config (args) is done by troi during track fetch.
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Funkwhale only checks if the patch is implemented
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"""
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config = serializers.JSONField(required=True)
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def append_lb_config(self, data):
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if self.session.user.settings is None:
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logger.warning(
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"No lb_user_name set in user settings. Some troi patches will fail"
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)
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return data
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elif self.session.user.settings.get("lb_user_name") is None:
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logger.warning(
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"No lb_user_name set in user settings. Some troi patches will fail"
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)
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else:
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data["user_name"] = self.session.user.settings["lb_user_name"]
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if self.session.user.settings.get("lb_user_token") is None:
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logger.warning(
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"No lb_user_token set in user settings. Some troi patch will fail"
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)
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else:
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data["user_token"] = self.session.user.settings["lb_user_token"]
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return data
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def get_queryset_kwargs(self):
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kwargs = super().get_queryset_kwargs()
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kwargs["config"] = self.session.config
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return kwargs
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def validate_session(self, data, **context):
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data = super().validate_session(data, **context)
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if data.get("config") is None:
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raise serializers.ValidationError(
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"You must provide a configuration for this radio"
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)
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return data
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def get_queryset(self, **kwargs):
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qs = super().get_queryset(**kwargs)
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config = self.append_lb_config(json.loads(kwargs["config"]))
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return lb_recommendations.run(config, candidates=qs)
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@ -0,0 +1,111 @@
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from troi import Artist, Element, Playlist, Recording
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from troi.patch import Patch
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recording_list = [
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Recording(
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name="I Want It That Way",
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mbid="87dfa566-21c3-45ed-bc42-1d345b8563fa",
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artist=Artist(name="artist_name"),
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),
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Recording(name="Untouchable", artist=Artist(name="Another lol")),
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Recording(
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name="The Perfect Kiss",
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mbid="ec0da94e-fbfe-4eb0-968e-024d4c32d1d0",
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artist=Artist(name="artist_name2"),
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),
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Recording(
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name="Love Your Voice",
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mbid="93726547-f8c0-4efd-8e16-d2dee76500f6",
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artist=Artist(name="artist_name"),
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),
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Recording(
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name="Hall of Fame",
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mbid="395bd5a1-79cc-4e04-8869-ca9eabc78d09",
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artist=Artist(name="artist_name_3"),
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),
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]
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class DummyElement(Element):
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"""Dummy element that returns a fixed playlist for testing"""
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@staticmethod
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def outputs():
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return [Playlist]
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def read(self, sources):
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recordings = recording_list
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return [
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Playlist(
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name="Test Export Playlist",
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description="A playlist to test exporting playlists to spotify",
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recordings=recordings,
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)
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]
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class DummyPatch(Patch):
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"""Dummy patch that always returns a fixed set of recordings for testing"""
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@staticmethod
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def slug():
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return "test-patch"
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def create(self, inputs):
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return DummyElement()
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@staticmethod
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def outputs():
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return [Recording]
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recommended_recording_mbids = [
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"87dfa566-21c3-45ed-bc42-1d345b8563fa",
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"ec0da94e-fbfe-4eb0-968e-024d4c32d1d0",
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"93726547-f8c0-4efd-8e16-d2dee76500f6",
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"395bd5a1-79cc-4e04-8869-ca9eabc78d09",
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]
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typesense_search_result = {
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"facet_counts": [],
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"found": 1,
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"out_of": 1,
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"page": 1,
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"request_params": {
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"collection_name": "canonical_fw_data",
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"per_page": 10,
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"q": "artist_nameiwantitthatway",
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},
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"search_time_ms": 1,
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"hits": [
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{
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"highlights": [
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{
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"field": "combined",
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"snippet": "string",
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"matched_tokens": ["string"],
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}
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],
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"document": {
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"pk": "1",
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"combined": "artist_nameiwantitthatway",
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},
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"text_match": 130916,
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},
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{
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"highlights": [
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{
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"field": "combined",
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"snippet": "string",
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"matched_tokens": ["string"],
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}
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],
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"document": {
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"pk": "2",
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"combined": "artist_nameiwantitthatway",
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},
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"text_match": 130916,
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},
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],
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}
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@ -0,0 +1,108 @@
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import logging
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from django.conf import settings
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from funkwhale_api.music import models as music_models
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from funkwhale_api.taskapp import celery
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from . import utils
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logger = logging.getLogger(__name__)
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class TypesenseNotActivate(Exception):
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pass
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if not settings.TYPESENSE_API_KEY:
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logger.info(
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"Typesense is not activated. You can enable it by setting the TYPESENSE_API_KEY env variable."
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)
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else:
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import typesense
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from typesense.exceptions import ObjectAlreadyExists
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api_key = settings.TYPESENSE_API_KEY
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host = settings.TYPESENSE_HOST
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port = settings.TYPESENSE_PORT
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protocol = settings.TYPESENSE_PROTOCOL
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collection_name = "canonical_fw_data"
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BATCH_SIZE = 10000
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@celery.app.task(name="typesense.add_tracks_to_index")
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def add_tracks_to_index(tracks_pk):
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"""
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This will add fw tracks data to the typesense index. It will concatenate the artist name
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and the track title into one string.
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"""
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client = typesense.Client(
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{
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"api_key": api_key,
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"nodes": [{"host": host, "port": port, "protocol": protocol}],
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"connection_timeout_seconds": 2,
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}
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)
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try:
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logger.info(f"Updating index {collection_name}")
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tracks = music_models.Track.objects.all().filter(pk__in=tracks_pk)
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documents = []
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for track in tracks:
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document = dict()
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document["pk"] = track.pk
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document["combined"] = utils.delete_non_alnum_characters(
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track.artist.name + track.title
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)
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documents.append(document)
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client.collections[collection_name].documents.import_(
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documents, {"action": "upsert"}
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)
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except typesense.exceptions.TypesenseClientError as err:
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logger.error(f"Can't build index: {str(err)}")
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|
||||
@celery.app.task(name="typesense.build_canonical_index")
|
||||
def build_canonical_index():
|
||||
if not settings.TYPESENSE_API_KEY:
|
||||
raise TypesenseNotActivate(
|
||||
"Typesense is not activated. You can enable it by setting the TYPESENSE_API_KEY env variable."
|
||||
)
|
||||
|
||||
schema = {
|
||||
"name": collection_name,
|
||||
"fields": [
|
||||
{"name": "combined", "type": "string"},
|
||||
{"name": "pk", "type": "int32"},
|
||||
],
|
||||
"default_sorting_field": "pk",
|
||||
}
|
||||
client = typesense.Client(
|
||||
{
|
||||
"api_key": api_key,
|
||||
"nodes": [{"host": host, "port": port, "protocol": protocol}],
|
||||
"connection_timeout_seconds": 2,
|
||||
}
|
||||
)
|
||||
try:
|
||||
client.collections.create(schema)
|
||||
except ObjectAlreadyExists:
|
||||
pass
|
||||
|
||||
tracks = music_models.Track.objects.all().values_list("pk", flat=True)
|
||||
total_tracks = tracks.count()
|
||||
total_batches = (total_tracks - 1) // BATCH_SIZE + 1
|
||||
|
||||
for i in range(total_batches):
|
||||
start_index = i * BATCH_SIZE
|
||||
end_index = (i + 1) * (BATCH_SIZE - 1)
|
||||
batch_tracks = tracks[start_index:end_index]
|
||||
logger.info(
|
||||
f"Launching async task to add {str(batch_tracks)} tracks pks to index"
|
||||
)
|
||||
add_tracks_to_index.delay(list(batch_tracks))
|
||||
|
|
@ -0,0 +1,92 @@
|
|||
import logging
|
||||
import re
|
||||
|
||||
import unidecode
|
||||
from django.conf import settings
|
||||
from django.core.cache import cache
|
||||
from lb_matching_tools.cleaner import MetadataCleaner
|
||||
|
||||
from funkwhale_api.music import models as music_models
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
api_key = settings.TYPESENSE_API_KEY
|
||||
host = settings.TYPESENSE_HOST
|
||||
port = settings.TYPESENSE_PORT
|
||||
protocol = settings.TYPESENSE_PROTOCOL
|
||||
TYPESENSE_NUM_TYPO = settings.TYPESENSE_NUM_TYPO
|
||||
|
||||
|
||||
class TypesenseNotActivate(Exception):
|
||||
pass
|
||||
|
||||
|
||||
if not settings.TYPESENSE_API_KEY:
|
||||
logger.info(
|
||||
"Typesense is not activated. You can enable it by setting the TYPESENSE_API_KEY env variable."
|
||||
)
|
||||
else:
|
||||
import typesense
|
||||
|
||||
|
||||
def delete_non_alnum_characters(text):
|
||||
return unidecode.unidecode(re.sub(r"[^\w]+", "", text).lower())
|
||||
|
||||
|
||||
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.
|
||||
"""
|
||||
|
||||
if not settings.TYPESENSE_API_KEY:
|
||||
raise TypesenseNotActivate(
|
||||
"Typesense is not activated. You can enable it by setting the TYPESENSE_API_KEY env variable."
|
||||
)
|
||||
|
||||
client = typesense.Client(
|
||||
{
|
||||
"api_key": api_key,
|
||||
"nodes": [{"host": host, "port": port, "protocol": protocol}],
|
||||
"connection_timeout_seconds": 2,
|
||||
}
|
||||
)
|
||||
|
||||
mc = MetadataCleaner()
|
||||
|
||||
for recording in recordings:
|
||||
rec = mc.clean_recording(recording.name)
|
||||
artist = mc.clean_artist(recording.artist.name)
|
||||
canonical_name_for_track = delete_non_alnum_characters(artist + rec)
|
||||
|
||||
logger.debug(f"Trying to resolve : {canonical_name_for_track}")
|
||||
|
||||
search_parameters = {
|
||||
"q": canonical_name_for_track,
|
||||
"query_by": "combined",
|
||||
"num_typos": TYPESENSE_NUM_TYPO,
|
||||
"drop_tokens_threshold": 0,
|
||||
}
|
||||
matches = client.collections["canonical_fw_data"].documents.search(
|
||||
search_parameters
|
||||
)
|
||||
|
||||
if matches["hits"]:
|
||||
hit = matches["hits"][0]
|
||||
pk = hit["document"]["pk"]
|
||||
logger.debug(f"Saving match for track with primary key {pk}")
|
||||
cache.set(recording.mbid, pk)
|
||||
|
||||
if settings.DEBUG and matches["hits"][1]:
|
||||
for hit in matches["hits"][1:]:
|
||||
pk = hit["document"]["pk"]
|
||||
fw_track = music_models.Track.objects.get(pk=pk)
|
||||
logger.info(
|
||||
f"Duplicate match found for {fw_track.artist.name} {fw_track.title} \
|
||||
and primary key {pk}. Skipping because of better match."
|
||||
)
|
||||
else:
|
||||
logger.debug("No match found in fw db")
|
||||
return cache.get_many([rec.mbid for rec in recordings])
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiohttp"
|
||||
|
|
@ -836,6 +836,16 @@ files = [
|
|||
{file = "constantly-15.1.0.tar.gz", hash = "sha256:586372eb92059873e29eba4f9dec8381541b4d3834660707faf8ba59146dfc35"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "countryinfo"
|
||||
version = "0.1.2"
|
||||
description = "countryinfo is a python module for returning data about countries, ISO info and states/provinces within them."
|
||||
optional = false
|
||||
python-versions = ">3.0.0"
|
||||
files = [
|
||||
{file = "countryinfo-0.1.2-py3-none-any.whl", hash = "sha256:fd518b3fd8899f6520518320ac17b67bf410c7db5044c61cb191f802bb85c34d"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "coverage"
|
||||
version = "6.5.0"
|
||||
|
|
@ -1975,6 +1985,24 @@ files = [
|
|||
{file = "lazy_object_proxy-1.9.0-cp39-cp39-win_amd64.whl", hash = "sha256:db1c1722726f47e10e0b5fdbf15ac3b8adb58c091d12b3ab713965795036985f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "lb-matching-tools"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = []
|
||||
develop = false
|
||||
|
||||
[package.dependencies]
|
||||
regex = "*"
|
||||
|
||||
[package.source]
|
||||
type = "git"
|
||||
url = "https://github.com/metabrainz/listenbrainz-matching-tools.git"
|
||||
reference = "main"
|
||||
resolved_reference = "5de037ab3e35f3d45d2c6b2b458a818042dd4b12"
|
||||
|
||||
[[package]]
|
||||
name = "lxml"
|
||||
version = "4.9.3"
|
||||
|
|
@ -2125,6 +2153,17 @@ files = [
|
|||
{file = "mccabe-0.6.1.tar.gz", hash = "sha256:dd8d182285a0fe56bace7f45b5e7d1a6ebcbf524e8f3bd87eb0f125271b8831f"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "more-itertools"
|
||||
version = "10.1.0"
|
||||
description = "More routines for operating on iterables, beyond itertools"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "more-itertools-10.1.0.tar.gz", hash = "sha256:626c369fa0eb37bac0291bce8259b332fd59ac792fa5497b59837309cd5b114a"},
|
||||
{file = "more_itertools-10.1.0-py3-none-any.whl", hash = "sha256:64e0735fcfdc6f3464ea133afe8ea4483b1c5fe3a3d69852e6503b43a0b222e6"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "msgpack"
|
||||
version = "1.0.5"
|
||||
|
|
@ -2562,6 +2601,75 @@ files = [
|
|||
{file = "psycopg2-2.9.7.tar.gz", hash = "sha256:f00cc35bd7119f1fed17b85bd1007855194dde2cbd8de01ab8ebb17487440ad8"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "psycopg2-binary"
|
||||
version = "2.9.7"
|
||||
description = "psycopg2 - Python-PostgreSQL Database Adapter"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "psycopg2-binary-2.9.7.tar.gz", hash = "sha256:1b918f64a51ffe19cd2e230b3240ba481330ce1d4b7875ae67305bd1d37b041c"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ea5f8ee87f1eddc818fc04649d952c526db4426d26bab16efbe5a0c52b27d6ab"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2993ccb2b7e80844d534e55e0f12534c2871952f78e0da33c35e648bf002bbff"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dbbc3c5d15ed76b0d9db7753c0db40899136ecfe97d50cbde918f630c5eb857a"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:692df8763b71d42eb8343f54091368f6f6c9cfc56dc391858cdb3c3ef1e3e584"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9dcfd5d37e027ec393a303cc0a216be564b96c80ba532f3d1e0d2b5e5e4b1e6e"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:17cc17a70dfb295a240db7f65b6d8153c3d81efb145d76da1e4a096e9c5c0e63"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e5666632ba2b0d9757b38fc17337d84bdf932d38563c5234f5f8c54fd01349c9"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:7db7b9b701974c96a88997d458b38ccb110eba8f805d4b4f74944aac48639b42"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:c82986635a16fb1fa15cd5436035c88bc65c3d5ced1cfaac7f357ee9e9deddd4"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4fe13712357d802080cfccbf8c6266a3121dc0e27e2144819029095ccf708372"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-win32.whl", hash = "sha256:122641b7fab18ef76b18860dd0c772290566b6fb30cc08e923ad73d17461dc63"},
|
||||
{file = "psycopg2_binary-2.9.7-cp310-cp310-win_amd64.whl", hash = "sha256:f8651cf1f144f9ee0fa7d1a1df61a9184ab72962531ca99f077bbdcba3947c58"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4ecc15666f16f97709106d87284c136cdc82647e1c3f8392a672616aed3c7151"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:3fbb1184c7e9d28d67671992970718c05af5f77fc88e26fd7136613c4ece1f89"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8a7968fd20bd550431837656872c19575b687f3f6f98120046228e451e4064df"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:094af2e77a1976efd4956a031028774b827029729725e136514aae3cdf49b87b"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:26484e913d472ecb6b45937ea55ce29c57c662066d222fb0fbdc1fab457f18c5"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f309b77a7c716e6ed9891b9b42953c3ff7d533dc548c1e33fddc73d2f5e21f9"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:6d92e139ca388ccfe8c04aacc163756e55ba4c623c6ba13d5d1595ed97523e4b"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:2df562bb2e4e00ee064779902d721223cfa9f8f58e7e52318c97d139cf7f012d"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:4eec5d36dbcfc076caab61a2114c12094c0b7027d57e9e4387b634e8ab36fd44"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:1011eeb0c51e5b9ea1016f0f45fa23aca63966a4c0afcf0340ccabe85a9f65bd"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-win32.whl", hash = "sha256:ded8e15f7550db9e75c60b3d9fcbc7737fea258a0f10032cdb7edc26c2a671fd"},
|
||||
{file = "psycopg2_binary-2.9.7-cp311-cp311-win_amd64.whl", hash = "sha256:8a136c8aaf6615653450817a7abe0fc01e4ea720ae41dfb2823eccae4b9062a3"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2dec5a75a3a5d42b120e88e6ed3e3b37b46459202bb8e36cd67591b6e5feebc1"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fc10da7e7df3380426521e8c1ed975d22df678639da2ed0ec3244c3dc2ab54c8"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ee919b676da28f78f91b464fb3e12238bd7474483352a59c8a16c39dfc59f0c5"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eb1c0e682138f9067a58fc3c9a9bf1c83d8e08cfbee380d858e63196466d5c86"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:00d8db270afb76f48a499f7bb8fa70297e66da67288471ca873db88382850bf4"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:9b0c2b466b2f4d89ccc33784c4ebb1627989bd84a39b79092e560e937a11d4ac"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:51d1b42d44f4ffb93188f9b39e6d1c82aa758fdb8d9de65e1ddfe7a7d250d7ad"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:11abdbfc6f7f7dea4a524b5f4117369b0d757725798f1593796be6ece20266cb"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:f02f4a72cc3ab2565c6d9720f0343cb840fb2dc01a2e9ecb8bc58ccf95dc5c06"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-win32.whl", hash = "sha256:81d5dd2dd9ab78d31a451e357315f201d976c131ca7d43870a0e8063b6b7a1ec"},
|
||||
{file = "psycopg2_binary-2.9.7-cp37-cp37m-win_amd64.whl", hash = "sha256:62cb6de84d7767164a87ca97e22e5e0a134856ebcb08f21b621c6125baf61f16"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:59f7e9109a59dfa31efa022e94a244736ae401526682de504e87bd11ce870c22"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:95a7a747bdc3b010bb6a980f053233e7610276d55f3ca506afff4ad7749ab58a"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8c721ee464e45ecf609ff8c0a555018764974114f671815a0a7152aedb9f3343"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f4f37bbc6588d402980ffbd1f3338c871368fb4b1cfa091debe13c68bb3852b3"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ac83ab05e25354dad798401babaa6daa9577462136ba215694865394840e31f8"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:024eaeb2a08c9a65cd5f94b31ace1ee3bb3f978cd4d079406aef85169ba01f08"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:1c31c2606ac500dbd26381145684d87730a2fac9a62ebcfbaa2b119f8d6c19f4"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:42a62ef0e5abb55bf6ffb050eb2b0fcd767261fa3faf943a4267539168807522"},
|
||||
{file = "psycopg2_binary-2.9.7-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:7952807f95c8eba6a8ccb14e00bf170bb700cafcec3924d565235dffc7dc4ae8"},
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
]
|
||||
|
||||
[[package]]
|
||||
name = "ptyprocess"
|
||||
version = "0.7.0"
|
||||
|
|
@ -2739,6 +2847,25 @@ files = [
|
|||
[package.dependencies]
|
||||
pylint = ">=1.7"
|
||||
|
||||
[[package]]
|
||||
name = "pylistenbrainz"
|
||||
version = "0.5.2"
|
||||
description = "A simple ListenBrainz client library for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.5"
|
||||
files = []
|
||||
develop = false
|
||||
|
||||
[package.dependencies]
|
||||
importlib-metadata = {version = ">=3.10.0", markers = "python_version < \"3.10\""}
|
||||
requests = ">=2.23.0"
|
||||
|
||||
[package.source]
|
||||
type = "git"
|
||||
url = "https://github.com/metabrainz/pylistenbrainz.git"
|
||||
reference = "v0.5.2"
|
||||
resolved_reference = "f66414d2da3a260b9d4322d42f98ec7a6d6b982f"
|
||||
|
||||
[[package]]
|
||||
name = "pyopenssl"
|
||||
version = "23.2.0"
|
||||
|
|
@ -3066,6 +3193,103 @@ files = [
|
|||
attrs = ">=22.2.0"
|
||||
rpds-py = ">=0.7.0"
|
||||
|
||||
[[package]]
|
||||
name = "regex"
|
||||
version = "2023.8.8"
|
||||
description = "Alternative regular expression module, to replace re."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
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||||
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||||
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||||
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|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "requests"
|
||||
version = "2.28.2"
|
||||
|
|
@ -3329,19 +3553,19 @@ tests = ["coverage[toml] (>=5.0.2)", "pytest"]
|
|||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "68.2.0"
|
||||
version = "68.2.1"
|
||||
description = "Easily download, build, install, upgrade, and uninstall Python packages"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "setuptools-68.2.0-py3-none-any.whl", hash = "sha256:af3d5949030c3f493f550876b2fd1dd5ec66689c4ee5d5344f009746f71fd5a8"},
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||||
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||||
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|
||||
]
|
||||
|
||||
[package.extras]
|
||||
docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-hoverxref (<2)", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
|
||||
testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
||||
testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
|
||||
|
||||
[[package]]
|
||||
name = "sgmllib3k"
|
||||
|
|
@ -3375,6 +3599,28 @@ files = [
|
|||
{file = "sniffio-1.3.0.tar.gz", hash = "sha256:e60305c5e5d314f5389259b7f22aaa33d8f7dee49763119234af3755c55b9101"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "spotipy"
|
||||
version = "2.23.0"
|
||||
description = "A light weight Python library for the Spotify Web API"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "spotipy-2.23.0-py2-none-any.whl", hash = "sha256:da850fbf62faaa05912132d2886c293a5fbbe8350d0821e7208a6a2fdd6a0079"},
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||||
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||||
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|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
redis = ">=3.5.3"
|
||||
requests = ">=2.25.0"
|
||||
six = ">=1.15.0"
|
||||
urllib3 = ">=1.26.0"
|
||||
|
||||
[package.extras]
|
||||
doc = ["Sphinx (>=1.5.2)"]
|
||||
test = ["mock (==2.0.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "sqlparse"
|
||||
version = "0.4.4"
|
||||
|
|
@ -3442,6 +3688,32 @@ files = [
|
|||
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
|
||||
test = ["argcomplete (>=2.0)", "pre-commit", "pytest", "pytest-mock"]
|
||||
|
||||
[[package]]
|
||||
name = "troi"
|
||||
version = "0.1.0"
|
||||
description = "An empathetic music recommendation system pipeline"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = []
|
||||
develop = false
|
||||
|
||||
[package.dependencies]
|
||||
click = ">=8.0"
|
||||
countryinfo = ">=0.1.2"
|
||||
more_itertools = "*"
|
||||
psycopg2-binary = ">=2.9.3"
|
||||
pylistenbrainz = {git = "https://github.com/metabrainz/pylistenbrainz.git", rev = "v0.5.2"}
|
||||
python-dateutil = ">=2.8.2"
|
||||
requests = "*"
|
||||
spotipy = ">=2.22.1"
|
||||
ujson = ">=5.4.0"
|
||||
|
||||
[package.source]
|
||||
type = "git"
|
||||
url = "https://github.com/metabrainz/troi-recommendation-playground.git"
|
||||
reference = "main"
|
||||
resolved_reference = "3c424ea4d7057ecc68d3b4b5a7036cf61bec816e"
|
||||
|
||||
[[package]]
|
||||
name = "twisted"
|
||||
version = "23.8.0"
|
||||
|
|
@ -3550,6 +3822,76 @@ files = [
|
|||
{file = "typing_extensions-4.7.1.tar.gz", hash = "sha256:b75ddc264f0ba5615db7ba217daeb99701ad295353c45f9e95963337ceeeffb2"},
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]
|
||||
|
||||
[[package]]
|
||||
name = "ujson"
|
||||
version = "5.8.0"
|
||||
description = "Ultra fast JSON encoder and decoder for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
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||||
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|
||||
{file = "ujson-5.8.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:ae7f4725c344bf437e9b881019c558416fe84ad9c6b67426416c131ad577df67"},
|
||||
{file = "ujson-5.8.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:9ab282d67ef3097105552bf151438b551cc4bedb3f24d80fada830f2e132aeb9"},
|
||||
{file = "ujson-5.8.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:94c7bd9880fa33fcf7f6d7f4cc032e2371adee3c5dba2922b918987141d1bf07"},
|
||||
{file = "ujson-5.8.0-cp38-cp38-win32.whl", hash = "sha256:bf5737dbcfe0fa0ac8fa599eceafae86b376492c8f1e4b84e3adf765f03fb564"},
|
||||
{file = "ujson-5.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:11da6bed916f9bfacf13f4fc6a9594abd62b2bb115acfb17a77b0f03bee4cfd5"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:69b3104a2603bab510497ceabc186ba40fef38ec731c0ccaa662e01ff94a985c"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9249fdefeb021e00b46025e77feed89cd91ffe9b3a49415239103fc1d5d9c29a"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2873d196725a8193f56dde527b322c4bc79ed97cd60f1d087826ac3290cf9207"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6a4dafa9010c366589f55afb0fd67084acd8added1a51251008f9ff2c3e44042"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7a42baa647a50fa8bed53d4e242be61023bd37b93577f27f90ffe521ac9dc7a3"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:f3554eaadffe416c6f543af442066afa6549edbc34fe6a7719818c3e72ebfe95"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:fb87decf38cc82bcdea1d7511e73629e651bdec3a43ab40985167ab8449b769c"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:407d60eb942c318482bbfb1e66be093308bb11617d41c613e33b4ce5be789adc"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-win32.whl", hash = "sha256:0fe1b7edaf560ca6ab023f81cbeaf9946a240876a993b8c5a21a1c539171d903"},
|
||||
{file = "ujson-5.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:3f9b63530a5392eb687baff3989d0fb5f45194ae5b1ca8276282fb647f8dcdb3"},
|
||||
{file = "ujson-5.8.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:efeddf950fb15a832376c0c01d8d7713479fbeceaed1eaecb2665aa62c305aec"},
|
||||
{file = "ujson-5.8.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7d8283ac5d03e65f488530c43d6610134309085b71db4f675e9cf5dff96a8282"},
|
||||
{file = "ujson-5.8.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eb0142f6f10f57598655340a3b2c70ed4646cbe674191da195eb0985a9813b83"},
|
||||
{file = "ujson-5.8.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:07d459aca895eb17eb463b00441986b021b9312c6c8cc1d06880925c7f51009c"},
|
||||
{file = "ujson-5.8.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:d524a8c15cfc863705991d70bbec998456a42c405c291d0f84a74ad7f35c5109"},
|
||||
{file = "ujson-5.8.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:d6f84a7a175c75beecde53a624881ff618e9433045a69fcfb5e154b73cdaa377"},
|
||||
{file = "ujson-5.8.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b748797131ac7b29826d1524db1cc366d2722ab7afacc2ce1287cdafccddbf1f"},
|
||||
{file = "ujson-5.8.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e72ba76313d48a1a3a42e7dc9d1db32ea93fac782ad8dde6f8b13e35c229130"},
|
||||
{file = "ujson-5.8.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:f504117a39cb98abba4153bf0b46b4954cc5d62f6351a14660201500ba31fe7f"},
|
||||
{file = "ujson-5.8.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a8c91b6f4bf23f274af9002b128d133b735141e867109487d17e344d38b87d94"},
|
||||
{file = "ujson-5.8.0.tar.gz", hash = "sha256:78e318def4ade898a461b3d92a79f9441e7e0e4d2ad5419abed4336d702c7425"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "unicode-slugify"
|
||||
version = "0.1.5"
|
||||
|
|
@ -4097,4 +4439,4 @@ typesense = ["typesense"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.8"
|
||||
content-hash = "6f894585d8c11237f999c05c84a6ed5210e914e47dabaf4cccaba12cb58c65b7"
|
||||
content-hash = "b5d18d34f29b2ac96360cae13fd38fbc14b37c0a44989b21c905820d2234ae9e"
|
||||
|
|
|
|||
|
|
@ -84,6 +84,9 @@ requests = "==2.28.2"
|
|||
requests-http-message-signatures = "==0.3.1"
|
||||
sentry-sdk = "==1.19.1"
|
||||
watchdog = "==2.2.1"
|
||||
troi = { git = "https://github.com/metabrainz/troi-recommendation-playground.git", branch = "main"}
|
||||
lb-matching-tools = { git = "https://github.com/metabrainz/listenbrainz-matching-tools.git", branch = "main"}
|
||||
unidecode = "==1.3.6"
|
||||
|
||||
# Typesense
|
||||
typesense = { version = "==0.15.1", optional = true }
|
||||
|
|
|
|||
|
|
@ -0,0 +1,116 @@
|
|||
import pytest
|
||||
import troi.core
|
||||
from django.core.cache import cache
|
||||
from django.db.models import Q
|
||||
from requests.exceptions import ConnectTimeout
|
||||
|
||||
from funkwhale_api.music.models import Track
|
||||
from funkwhale_api.radios import lb_recommendations
|
||||
from funkwhale_api.typesense import factories as custom_factories
|
||||
from funkwhale_api.typesense import utils
|
||||
|
||||
|
||||
def test_can_build_radio_queryset_with_fw_db(factories, mocker):
|
||||
factories["music.Track"](
|
||||
title="I Want It That Way", mbid="87dfa566-21c3-45ed-bc42-1d345b8563fa"
|
||||
)
|
||||
factories["music.Track"](
|
||||
title="The Perfect Kiss", mbid="ec0da94e-fbfe-4eb0-968e-024d4c32d1d0"
|
||||
)
|
||||
factories["music.Track"]()
|
||||
|
||||
qs = Track.objects.all()
|
||||
|
||||
mocker.patch("funkwhale_api.typesense.utils.resolve_recordings_to_fw_track")
|
||||
|
||||
radio_qs = lb_recommendations.build_radio_queryset(
|
||||
custom_factories.DummyPatch(), {"min_recordings": 1}, qs
|
||||
)
|
||||
recommended_recording_mbids = [
|
||||
"87dfa566-21c3-45ed-bc42-1d345b8563fa",
|
||||
"ec0da94e-fbfe-4eb0-968e-024d4c32d1d0",
|
||||
]
|
||||
|
||||
assert list(
|
||||
Track.objects.all().filter(Q(mbid__in=recommended_recording_mbids))
|
||||
) == list(radio_qs)
|
||||
|
||||
|
||||
def test_build_radio_queryset_without_fw_db(mocker):
|
||||
resolve_recordings_to_fw_track = mocker.patch.object(
|
||||
utils, "resolve_recordings_to_fw_track", return_value=None
|
||||
)
|
||||
# mocker.patch.object(cache, "get_many", return_value=None)
|
||||
|
||||
qs = Track.objects.all()
|
||||
|
||||
with pytest.raises(ValueError):
|
||||
lb_recommendations.build_radio_queryset(
|
||||
custom_factories.DummyPatch(), {"min_recordings": 1}, qs
|
||||
)
|
||||
|
||||
assert resolve_recordings_to_fw_track.called_once_with(
|
||||
custom_factories.recommended_recording_mbids
|
||||
)
|
||||
|
||||
|
||||
def test_build_radio_queryset_with_redis_and_fw_db(factories, mocker):
|
||||
factories["music.Track"](
|
||||
pk="1", title="I Want It That Way", mbid="87dfa566-21c3-45ed-bc42-1d345b8563fa"
|
||||
)
|
||||
mocker.patch.object(utils, "resolve_recordings_to_fw_track", return_value=None)
|
||||
redis_cache = {}
|
||||
redis_cache["ec0da94e-fbfe-4eb0-968e-024d4c32d1d0"] = 2
|
||||
mocker.patch.object(cache, "get_many", return_value=redis_cache)
|
||||
|
||||
qs = Track.objects.all()
|
||||
|
||||
assert list(
|
||||
lb_recommendations.build_radio_queryset(
|
||||
custom_factories.DummyPatch(), {"min_recordings": 1}, qs
|
||||
)
|
||||
) == list(Track.objects.all().filter(pk__in=[1, 2]))
|
||||
|
||||
|
||||
def test_build_radio_queryset_with_redis_and_without_fw_db(factories, mocker):
|
||||
factories["music.Track"](
|
||||
pk="1", title="Super title", mbid="87dfaaaa-2aaa-45ed-bc42-1d34aaaaaaaa"
|
||||
)
|
||||
mocker.patch.object(utils, "resolve_recordings_to_fw_track", return_value=None)
|
||||
redis_cache = {}
|
||||
redis_cache["87dfa566-21c3-45ed-bc42-1d345b8563fa"] = 1
|
||||
mocker.patch.object(cache, "get_many", return_value=redis_cache)
|
||||
qs = Track.objects.all()
|
||||
|
||||
assert list(
|
||||
lb_recommendations.build_radio_queryset(
|
||||
custom_factories.DummyPatch(), {"min_recordings": 1}, qs
|
||||
)
|
||||
) == list(Track.objects.all().filter(pk=1))
|
||||
|
||||
|
||||
def test_build_radio_queryset_catch_troi_ConnectTimeout(mocker):
|
||||
mocker.patch.object(
|
||||
troi.core,
|
||||
"generate_playlist",
|
||||
side_effect=ConnectTimeout,
|
||||
)
|
||||
qs = Track.objects.all()
|
||||
|
||||
with pytest.raises(ValueError):
|
||||
lb_recommendations.build_radio_queryset(
|
||||
custom_factories.DummyPatch(), {"min_recordings": 1}, qs
|
||||
)
|
||||
|
||||
|
||||
def test_build_radio_queryset_catch_troi_no_candidates(mocker):
|
||||
mocker.patch.object(
|
||||
troi.core,
|
||||
"generate_playlist",
|
||||
)
|
||||
qs = Track.objects.all()
|
||||
|
||||
with pytest.raises(ValueError):
|
||||
lb_recommendations.build_radio_queryset(
|
||||
custom_factories.DummyPatch(), {"min_recordings": 1}, qs
|
||||
)
|
||||
|
|
@ -429,3 +429,28 @@ def test_can_start_custom_multiple_radio_from_api(api_client, factories):
|
|||
format="json",
|
||||
)
|
||||
assert response.status_code == 201
|
||||
|
||||
|
||||
def test_can_start_periodic_jams_troi_radio_from_api(api_client, factories):
|
||||
factories["music.Track"].create_batch(5)
|
||||
url = reverse("api:v1:radios:sessions-list")
|
||||
config = {"patch": "periodic-jams", "type": "daily-jams"}
|
||||
response = api_client.post(
|
||||
url,
|
||||
{"radio_type": "troi", "config": config},
|
||||
format="json",
|
||||
)
|
||||
assert response.status_code == 201
|
||||
|
||||
|
||||
# to do : send error to api ?
|
||||
def test_can_catch_troi_radio_error(api_client, factories):
|
||||
factories["music.Track"].create_batch(5)
|
||||
url = reverse("api:v1:radios:sessions-list")
|
||||
config = {"patch": "periodic-jams", "type": "not_existing_type"}
|
||||
response = api_client.post(
|
||||
url,
|
||||
{"radio_type": "troi", "config": config},
|
||||
format="json",
|
||||
)
|
||||
assert response.status_code == 201
|
||||
|
|
|
|||
|
|
@ -0,0 +1,58 @@
|
|||
import logging
|
||||
|
||||
import requests_mock
|
||||
import typesense
|
||||
|
||||
from funkwhale_api.typesense import tasks
|
||||
|
||||
|
||||
def test_add_tracks_to_index_fails(mocker, caplog):
|
||||
logger = logging.getLogger("funkwhale_api.typesense.tasks")
|
||||
caplog.set_level(logging.INFO)
|
||||
logger.addHandler(caplog.handler)
|
||||
|
||||
client = typesense.Client(
|
||||
{
|
||||
"api_key": "api_key",
|
||||
"nodes": [{"host": "host", "port": "port", "protocol": "protocol"}],
|
||||
"connection_timeout_seconds": 2,
|
||||
}
|
||||
)
|
||||
|
||||
with requests_mock.Mocker() as r_mocker:
|
||||
r_mocker.post(
|
||||
"protocol://host:port/collections/canonical_fw_data/documents/import",
|
||||
json=[{"name": "data"}],
|
||||
)
|
||||
mocker.patch.object(typesense, "Client", return_value=client)
|
||||
mocker.patch.object(
|
||||
typesense.client.ApiCall,
|
||||
"post",
|
||||
side_effect=typesense.exceptions.TypesenseClientError("Hello"),
|
||||
)
|
||||
tasks.add_tracks_to_index([1, 2, 3])
|
||||
assert "Can't build index" in caplog.text
|
||||
|
||||
|
||||
def test_build_canonical_index_success(mocker, caplog, factories):
|
||||
logger = logging.getLogger("funkwhale_api.typesense.tasks")
|
||||
caplog.set_level(logging.INFO)
|
||||
logger.addHandler(caplog.handler)
|
||||
|
||||
client = typesense.Client(
|
||||
{
|
||||
"api_key": "api_key",
|
||||
"nodes": [{"host": "host", "port": "port", "protocol": "protocol"}],
|
||||
"connection_timeout_seconds": 2,
|
||||
}
|
||||
)
|
||||
|
||||
factories["music.Track"].create_batch(size=5)
|
||||
|
||||
with requests_mock.Mocker() as r_mocker:
|
||||
mocker.patch.object(typesense, "Client", return_value=client)
|
||||
|
||||
r_mocker.post("protocol://host:port/collections", json={"name": "data"})
|
||||
|
||||
tasks.build_canonical_index()
|
||||
assert "Launching async task to add " in caplog.text
|
||||
|
|
@ -0,0 +1,43 @@
|
|||
import requests_mock
|
||||
import typesense
|
||||
from django.core.cache import cache
|
||||
|
||||
from funkwhale_api.typesense import factories as custom_factories
|
||||
from funkwhale_api.typesense import utils
|
||||
|
||||
|
||||
def test_resolve_recordings_to_fw_track(mocker, factories):
|
||||
artist = factories["music.Artist"](name="artist_name")
|
||||
factories["music.Track"](
|
||||
pk=1,
|
||||
title="I Want It That Way",
|
||||
artist=artist,
|
||||
mbid="87dfa566-21c3-45ed-bc42-1d345b8563fa",
|
||||
)
|
||||
factories["music.Track"](
|
||||
pk=2,
|
||||
title="I Want It That Way",
|
||||
artist=artist,
|
||||
)
|
||||
|
||||
client = typesense.Client(
|
||||
{
|
||||
"api_key": "api_key",
|
||||
"nodes": [{"host": "host", "port": "port", "protocol": "protocol"}],
|
||||
"connection_timeout_seconds": 2,
|
||||
}
|
||||
)
|
||||
with requests_mock.Mocker() as r_mocker:
|
||||
mocker.patch.object(typesense, "Client", return_value=client)
|
||||
mocker.patch.object(
|
||||
typesense.client.ApiCall,
|
||||
"post",
|
||||
return_value=custom_factories.typesense_search_result,
|
||||
)
|
||||
r_mocker.get(
|
||||
"protocol://host:port/collections/canonical_fw_data/documents/search",
|
||||
json=custom_factories.typesense_search_result,
|
||||
)
|
||||
|
||||
utils.resolve_recordings_to_fw_track(custom_factories.recording_list)
|
||||
assert cache.get("87dfa566-21c3-45ed-bc42-1d345b8563fa") == "1"
|
||||
|
|
@ -0,0 +1 @@
|
|||
Create a testing environment in production for ListenBrainz recommendation engine (troi-recommendation-playground) (#1861)
|
||||
Ładowanie…
Reference in New Issue