soulsync/tests/test_personalized_playlists_id_gate.py
Broque Thomas 0701bcc213 PersonalizedPlaylistsService: bake in ID-validity gate, lift selectors
User-facing bug found in the discover-page audit: multiple sections
(hidden gems, discovery shuffle, popular picks, decade browser,
genre browser) had no `WHERE (spotify_track_id IS NOT NULL OR
itunes_track_id IS NOT NULL ...)` gate. Tracks with no source IDs
in the discovery pool got displayed, the user clicked download, the
download silently failed because there was nothing to look up.

Lift + gate

`PersonalizedPlaylistsService` had 5 selection methods that all shared
the same shape — connect to DB, run a SELECT against `discovery_pool`
with different WHERE clauses, optionally apply diversity, return
list of track dicts. ~366 lines of business logic, ~55% of which was
repeated boilerplate.

Three new private helpers consolidate everything:

- `_select_discovery_tracks(*, source, extra_where, extra_params,
  order_by, fetch_limit, extra_columns)` — shared SELECT against
  `discovery_pool`. The mandatory ID gate is hard-coded into the
  WHERE clause: no opt-out flag, every method inherits it for free.
  Plus the source filter and the blacklist filter — same shape every
  selector needs.
- `_apply_diversity_filter(tracks, *, max_per_album, max_per_artist,
  limit)` — per-album / per-artist cap loop, returns trimmed list.
  Lifted from the inline duplicates in decade / genre / popular_picks.
- `_compute_adaptive_diversity_limits(tracks, *, relaxed=False)` —
  step-function tiers based on unique-artist count. `relaxed=True`
  gives the slightly looser limits the genre playlist used vs the
  decade playlist.

Re-enable 4 library methods

`get_recently_added`, `get_top_tracks`, `get_forgotten_favorites`,
`get_familiar_favorites` were all stubs (`return []`) because they
predated the schema columns they need. Schema now has them:
`tracks.created_at`, `tracks.play_count`, `tracks.last_played`, and
the source ID columns added in earlier work.

New `_select_library_tracks(*, where_clause, params, order_by, limit)`
helper mirrors the discovery selector but targets the `tracks` table
joined against `albums` + `artists`. Mandatory ID gate lives in the
helper too: every library method automatically rejects rows where
spotify_track_id, itunes_track_id, deezer_id,
musicbrainz_recording_id, AND audiodb_id are all NULL.

Selection rules:

- `get_recently_added` — ORDER BY created_at DESC
- `get_top_tracks` — WHERE play_count > 0 ORDER BY play_count DESC
- `get_forgotten_favorites` — WHERE play_count > 5 AND last_played
  < (now - 90 days) ORDER BY play_count DESC
- `get_familiar_favorites` — WHERE play_count BETWEEN 3 AND 15

Tests

`tests/test_personalized_playlists_id_gate.py` — 17 tests pinning:

- `_select_discovery_tracks` filters NULL-id rows, honors source +
  blacklist + extra_where
- `_apply_diversity_filter` caps per-album + per-artist + stops at
  limit
- `_compute_adaptive_diversity_limits` returns the right tier for
  unique-artist count + relaxed flag
- All 5 discovery methods (decade, popular_picks, hidden_gems,
  discovery_shuffle, genre is exercised via the helper) reject
  NULL-id rows
- All 4 library methods reject NULL-id rows + honor their
  play-count rules

Behavior preserved

Same diversity tiers, same over-fetch multipliers (10x for decade /
genre, 3x for popular_picks), same `popularity DESC, RANDOM()`
ordering, same `popularity >= 60` / `< 40` thresholds, same
blacklist filter. Public method signatures unchanged — `web_server.py`
needs zero edits.

Net file: 1089 → ~1170 LOC (helpers + docstrings), but actual
business logic across the 9 methods went from ~418 lines down to
~195 (-53%).

2222/2222 full suite green (was 2205 + 17 new). Ruff clean.
2026-05-08 07:14:36 -07:00

423 lines
15 KiB
Python

"""Tests for the lifted PersonalizedPlaylistsService selectors and the
mandatory ID-validity gate every section must enforce.
Context: discover-page selection methods used to return tracks/albums
with all source IDs NULL — the UI displayed them, the user clicked
download, the download silently failed because there was nothing to
look up. This test file pins the gate at the helper level so a future
section can't accidentally bypass it.
Coverage:
- `_select_discovery_tracks` filters out rows where every source ID is NULL
- `_select_discovery_tracks` honors source filter + blacklist filter
- `_select_library_tracks` enforces the same gate against the `tracks` table
- `_apply_diversity_filter` caps per-album + per-artist counts
- `_compute_adaptive_diversity_limits` returns the right tier for the
unique-artist count + relaxed flag
- The 5 discovery_pool methods (decade / genre / popular_picks /
hidden_gems / discovery_shuffle) each filter NULL-id rows
- The 4 library methods (recently_added / top_tracks /
forgotten_favorites / familiar_favorites) each filter NULL-id rows
"""
from __future__ import annotations
import sqlite3
from contextlib import contextmanager
from unittest.mock import patch
import pytest
from core.personalized_playlists import PersonalizedPlaylistsService
# ---------------------------------------------------------------------------
# Fake DB
# ---------------------------------------------------------------------------
class _FakeDatabase:
"""Wraps an in-memory sqlite connection so the service's
`database._get_connection()` calls work the same as in production.
The schema mirrors the real `discovery_pool` + `tracks` + `albums`
+ `artists` shape just enough for the selection methods to exercise.
"""
def __init__(self):
self._conn = sqlite3.connect(":memory:")
self._conn.row_factory = sqlite3.Row
self._setup_schema()
def _setup_schema(self):
cursor = self._conn.cursor()
cursor.executescript("""
CREATE TABLE discovery_pool (
id INTEGER PRIMARY KEY,
source TEXT NOT NULL,
spotify_track_id TEXT,
itunes_track_id TEXT,
deezer_track_id TEXT,
track_name TEXT,
artist_name TEXT,
album_name TEXT,
album_cover_url TEXT,
duration_ms INTEGER,
popularity INTEGER,
release_date TEXT,
artist_genres TEXT,
track_data_json TEXT
);
CREATE TABLE discovery_artist_blacklist (
artist_name TEXT PRIMARY KEY
);
CREATE TABLE artists (
id INTEGER PRIMARY KEY,
name TEXT
);
CREATE TABLE albums (
id INTEGER PRIMARY KEY,
title TEXT,
artist_id INTEGER,
thumb_url TEXT
);
CREATE TABLE tracks (
id INTEGER PRIMARY KEY,
album_id INTEGER,
artist_id INTEGER,
title TEXT,
duration INTEGER,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
play_count INTEGER DEFAULT 0,
last_played TIMESTAMP,
spotify_track_id TEXT,
itunes_track_id TEXT,
deezer_id TEXT,
musicbrainz_recording_id TEXT,
audiodb_id TEXT
);
""")
self._conn.commit()
@contextmanager
def _get_connection(self):
# Match the production interface (`with database._get_connection() as conn`)
try:
yield self._conn
finally:
pass
def insert_discovery_track(self, **kwargs):
cols = ", ".join(kwargs.keys())
placeholders = ", ".join(["?"] * len(kwargs))
self._conn.execute(
f"INSERT INTO discovery_pool ({cols}) VALUES ({placeholders})",
tuple(kwargs.values()),
)
self._conn.commit()
def insert_library_track(self, *, artist_name='Library Artist',
album_name='Library Album', track_name='Library Track',
**track_kwargs):
# Insert artist + album + track in one shot for convenience.
cur = self._conn.cursor()
cur.execute("INSERT INTO artists (name) VALUES (?)", (artist_name,))
artist_id = cur.lastrowid
cur.execute(
"INSERT INTO albums (title, artist_id, thumb_url) VALUES (?, ?, ?)",
(album_name, artist_id, 'http://x/cover.jpg'),
)
album_id = cur.lastrowid
track_kwargs.setdefault('duration', 200000)
cur.execute(
f"""INSERT INTO tracks (album_id, artist_id, title, {', '.join(track_kwargs.keys())})
VALUES (?, ?, ?, {', '.join(['?'] * len(track_kwargs))})""",
(album_id, artist_id, track_name, *track_kwargs.values()),
)
self._conn.commit()
def blacklist(self, artist_name):
self._conn.execute(
"INSERT INTO discovery_artist_blacklist (artist_name) VALUES (?)",
(artist_name,),
)
self._conn.commit()
@pytest.fixture
def service():
"""Service with a fresh in-memory DB. `_get_active_source` patched
to return 'spotify' so every selector targets the same source."""
db = _FakeDatabase()
svc = PersonalizedPlaylistsService(db)
with patch.object(svc, '_get_active_source', return_value='spotify'):
yield svc, db
# ---------------------------------------------------------------------------
# `_select_discovery_tracks` — the helper everyone goes through
# ---------------------------------------------------------------------------
def test_discovery_helper_filters_null_id_rows(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Has Spotify ID',
artist_name='A', album_name='A', popularity=50,
)
db.insert_discovery_track(
source='spotify', spotify_track_id=None, itunes_track_id=None,
track_name='No IDs', artist_name='B', album_name='B', popularity=50,
)
db.insert_discovery_track(
source='spotify', itunes_track_id='it1', track_name='Has iTunes ID',
artist_name='C', album_name='C', popularity=50,
)
tracks = svc._select_discovery_tracks(
source='spotify',
order_by='track_name',
fetch_limit=100,
)
names = sorted(t['track_name'] for t in tracks)
assert names == ['Has Spotify ID', 'Has iTunes ID']
def test_discovery_helper_filters_blacklisted_artists(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Keep',
artist_name='Good Artist', album_name='X',
)
db.insert_discovery_track(
source='spotify', spotify_track_id='sp2', track_name='Drop',
artist_name='Bad Artist', album_name='X',
)
db.blacklist('bad artist')
tracks = svc._select_discovery_tracks(
source='spotify',
order_by='track_name',
fetch_limit=100,
)
assert [t['track_name'] for t in tracks] == ['Keep']
def test_discovery_helper_honors_source_filter(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='SP',
artist_name='A', album_name='X',
)
db.insert_discovery_track(
source='itunes', itunes_track_id='it1', track_name='IT',
artist_name='A', album_name='X',
)
tracks = svc._select_discovery_tracks(
source='spotify',
order_by='track_name',
fetch_limit=100,
)
assert [t['track_name'] for t in tracks] == ['SP']
def test_discovery_helper_honors_extra_where(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Pop60',
artist_name='A', album_name='X', popularity=60,
)
db.insert_discovery_track(
source='spotify', spotify_track_id='sp2', track_name='Pop20',
artist_name='A', album_name='X', popularity=20,
)
tracks = svc._select_discovery_tracks(
source='spotify',
extra_where='AND popularity >= 50',
order_by='popularity DESC',
fetch_limit=100,
)
assert [t['track_name'] for t in tracks] == ['Pop60']
# ---------------------------------------------------------------------------
# Diversity filter
# ---------------------------------------------------------------------------
def test_diversity_filter_caps_per_album():
svc = PersonalizedPlaylistsService(_FakeDatabase())
tracks = [
{'track_name': f't{i}', 'artist_name': 'A', 'album_name': 'Album1'}
for i in range(10)
]
out = svc._apply_diversity_filter(
tracks, max_per_album=3, max_per_artist=10, limit=10,
)
assert len(out) == 3
def test_diversity_filter_caps_per_artist():
svc = PersonalizedPlaylistsService(_FakeDatabase())
tracks = [
{'track_name': f't{i}', 'artist_name': 'OnlyArtist', 'album_name': f'Album{i}'}
for i in range(10)
]
out = svc._apply_diversity_filter(
tracks, max_per_album=10, max_per_artist=2, limit=10,
)
assert len(out) == 2
def test_diversity_filter_stops_at_limit():
svc = PersonalizedPlaylistsService(_FakeDatabase())
tracks = [
{'track_name': f't{i}', 'artist_name': f'a{i}', 'album_name': f'b{i}'}
for i in range(20)
]
out = svc._apply_diversity_filter(
tracks, max_per_album=10, max_per_artist=10, limit=5,
)
assert len(out) == 5
# ---------------------------------------------------------------------------
# Adaptive diversity limits
# ---------------------------------------------------------------------------
def test_adaptive_limits_high_variety():
svc = PersonalizedPlaylistsService(_FakeDatabase())
tracks = [{'artist_name': f'a{i}'} for i in range(30)]
max_album, max_artist = svc._compute_adaptive_diversity_limits(tracks)
# High variety tier — strict limits
assert (max_album, max_artist) == (3, 5)
def test_adaptive_limits_low_variety():
svc = PersonalizedPlaylistsService(_FakeDatabase())
tracks = [{'artist_name': f'a{i % 3}'} for i in range(30)] # only 3 unique artists
max_album, max_artist = svc._compute_adaptive_diversity_limits(tracks)
# Low variety tier — much more lenient (matches existing decade-style limits)
assert max_album >= 4
assert max_artist >= 8
def test_adaptive_limits_relaxed_flag_loosens_genre_tier():
svc = PersonalizedPlaylistsService(_FakeDatabase())
# 15 unique artists triggers the moderate tier
tracks = [{'artist_name': f'a{i}'} for i in range(15)]
strict = svc._compute_adaptive_diversity_limits(tracks, relaxed=False)
relaxed = svc._compute_adaptive_diversity_limits(tracks, relaxed=True)
assert relaxed[1] >= strict[1]
# ---------------------------------------------------------------------------
# Public methods enforce the gate (smoke test on each)
# ---------------------------------------------------------------------------
def test_get_hidden_gems_filters_null_id_rows(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Gem',
artist_name='A', album_name='X', popularity=20,
)
db.insert_discovery_track(
source='spotify', spotify_track_id=None, itunes_track_id=None,
track_name='Nogem', artist_name='A', album_name='X', popularity=20,
)
out = svc.get_hidden_gems(limit=10)
assert [t['track_name'] for t in out] == ['Gem']
def test_get_discovery_shuffle_filters_null_id_rows(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Yes',
artist_name='A', album_name='X',
)
db.insert_discovery_track(
source='spotify', spotify_track_id=None, itunes_track_id=None,
track_name='No', artist_name='A', album_name='X',
)
out = svc.get_discovery_shuffle(limit=10)
assert [t['track_name'] for t in out] == ['Yes']
def test_get_popular_picks_filters_null_id_rows(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Yes',
artist_name='A', album_name='X', popularity=80,
)
db.insert_discovery_track(
source='spotify', spotify_track_id=None, itunes_track_id=None,
track_name='No', artist_name='A', album_name='X', popularity=80,
)
out = svc.get_popular_picks(limit=10)
assert [t['track_name'] for t in out] == ['Yes']
def test_get_decade_playlist_filters_null_id_rows(service):
svc, db = service
db.insert_discovery_track(
source='spotify', spotify_track_id='sp1', track_name='Yes',
artist_name='A', album_name='X', release_date='2024-06-01',
)
db.insert_discovery_track(
source='spotify', spotify_track_id=None, itunes_track_id=None,
track_name='No', artist_name='A', album_name='X', release_date='2024-06-01',
)
out = svc.get_decade_playlist(2020, limit=10)
assert [t['track_name'] for t in out] == ['Yes']
# ---------------------------------------------------------------------------
# Library methods (re-enabled)
# ---------------------------------------------------------------------------
def test_get_recently_added_filters_null_id_rows(service):
svc, db = service
db.insert_library_track(
track_name='Has Spotify', spotify_track_id='sp1',
)
db.insert_library_track(
track_name='No IDs', # all source ID columns NULL
)
db.insert_library_track(
track_name='Has MB', musicbrainz_recording_id='mb1',
)
out = svc.get_recently_added(limit=10)
names = sorted(t['track_name'] for t in out)
assert names == ['Has MB', 'Has Spotify']
def test_get_top_tracks_requires_play_count(service):
svc, db = service
db.insert_library_track(
track_name='Played', spotify_track_id='sp1', play_count=5,
)
db.insert_library_track(
track_name='Unplayed', spotify_track_id='sp2', play_count=0,
)
out = svc.get_top_tracks(limit=10)
assert [t['track_name'] for t in out] == ['Played']
def test_get_familiar_favorites_uses_play_count_band(service):
svc, db = service
db.insert_library_track(
track_name='InBand', spotify_track_id='sp1', play_count=8,
)
db.insert_library_track(
track_name='TooLow', spotify_track_id='sp2', play_count=2,
)
db.insert_library_track(
track_name='TooHigh', spotify_track_id='sp3', play_count=20,
)
out = svc.get_familiar_favorites(limit=10)
assert [t['track_name'] for t in out] == ['InBand']