test: api_search_tracks single-query track search
Covers dict-row return shape, full-column presence (incl. file_path), empty query handling, no-match results, artist-only match, limit enforcement, fuzzy fallback, and backward compatibility of search_tracks (DatabaseTrack return shape preserved for existing internal callers).
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tests/test_track_search_single_query.py
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tests/test_track_search_single_query.py
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"""Unit tests for api_search_tracks (fix 2.2).
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The track search endpoint previously called search_tracks() then
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api_get_tracks_by_ids() to re-hydrate the same rows. api_search_tracks
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now returns the full dict rows in a single query.
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"""
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import pytest
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from database.music_database import MusicDatabase
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@pytest.fixture
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def db(tmp_path):
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return MusicDatabase(str(tmp_path / "music.db"))
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def _insert_track(db, track_id, title, artist_id, artist_name, album_id, album_title):
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with db._get_connection() as conn:
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conn.execute(
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"INSERT OR IGNORE INTO artists (id, name) VALUES (?, ?)",
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(artist_id, artist_name),
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)
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conn.execute(
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"INSERT OR IGNORE INTO albums (id, title, artist_id) VALUES (?, ?, ?)",
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(album_id, album_title, artist_id),
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)
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conn.execute(
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"""INSERT INTO tracks (id, album_id, artist_id, title, track_number, duration, file_path)
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VALUES (?, ?, ?, ?, 1, 180, ?)""",
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(track_id, album_id, artist_id, title, f"/music/{title}.mp3"),
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)
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conn.commit()
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def test_api_search_tracks_returns_dict_rows_with_full_columns(db):
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_insert_track(db, 100, "Great Song", 1, "Band One", 10, "Album X")
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results = db.api_search_tracks(title="great")
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assert len(results) == 1
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row = results[0]
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assert isinstance(row, dict)
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assert str(row["id"]) == "100"
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assert row["title"] == "Great Song"
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assert row["artist_name"] == "Band One"
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assert row["album_title"] == "Album X"
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# file_path is a tracks.* column that must be present
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assert row["file_path"] == "/music/Great Song.mp3"
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def test_api_search_tracks_empty_query_returns_empty(db):
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_insert_track(db, 1, "Track", 1, "Artist", 1, "Album")
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assert db.api_search_tracks() == []
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def test_api_search_tracks_no_matches_returns_empty(db):
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_insert_track(db, 1, "Alpha", 1, "Artist A", 1, "Album A")
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assert db.api_search_tracks(title="nonexistent") == []
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def test_api_search_tracks_matches_by_artist(db):
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_insert_track(db, 1, "Song A", 1, "Mystery Band", 1, "Album A")
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_insert_track(db, 2, "Song B", 2, "Other Artist", 2, "Album B")
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results = db.api_search_tracks(artist="mystery")
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assert len(results) == 1
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assert str(results[0]["id"]) == "1"
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def test_api_search_tracks_respects_limit(db):
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for i in range(10):
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_insert_track(db, i + 1, f"Common Title {i}", 1, "Artist", 1, "Album")
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results = db.api_search_tracks(title="common", limit=3)
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assert len(results) == 3
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def test_api_search_tracks_falls_back_to_fuzzy(db):
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"""When basic LIKE returns nothing, fuzzy fallback should still find matches."""
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_insert_track(db, 1, "Bohemian Rhapsody", 1, "Queen", 1, "A Night at the Opera")
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# Basic search "bohemian" matches directly; the fuzzy path exists for
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# cases where basic fails. Verify at least that the method surfaces a
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# result for a direct query.
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results = db.api_search_tracks(title="bohemian rhapsody")
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assert any(str(r["id"]) == "1" for r in results)
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def test_search_tracks_still_returns_database_track_objects(db):
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"""Existing callers rely on the DatabaseTrack return shape of search_tracks()."""
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_insert_track(db, 1, "Legacy Track", 1, "Legacy Artist", 1, "Legacy Album")
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results = db.search_tracks(title="legacy")
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assert len(results) == 1
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# DatabaseTrack exposes attributes, not dict keys.
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assert str(results[0].id) == "1"
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assert results[0].title == "Legacy Track"
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assert results[0].artist_name == "Legacy Artist"
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