Establish automated test foundation
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import csv
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import sys
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from serato_doctor.cli import main
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def test_cli_writes_reports_and_prints_counts(tmp_path, monkeypatch, capsys):
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serato = tmp_path / "serato"
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subcrates = serato / "Subcrates"
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music = tmp_path / "music"
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subcrates.mkdir(parents=True)
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music.mkdir()
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crate_text = (
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"Users/djsplice/OneDrive/Jukebox/Found.mp漳牴k"
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"Users/djsplice/OneDrive/Jukebox/Missing.mp漳牴k"
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)
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(subcrates / "Test.crate").write_bytes(crate_text.encode("utf-16-le"))
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(music / "Found.mp3").write_bytes(b"synthetic audio")
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csv_path = tmp_path / "scan.csv"
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report_path = tmp_path / "report.txt"
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monkeypatch.setattr(
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sys,
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"argv",
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[
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"serato-doctor",
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"--serato",
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str(serato),
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"--music",
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str(music),
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"--out",
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str(csv_path),
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"--report",
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str(report_path),
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],
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)
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main()
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output = capsys.readouterr().out
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assert "Crate references: 2" in output
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assert "Disk tracks: 1" in output
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assert "Missing by filename: 1" in output
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assert f"CSV: {csv_path}" in output
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assert f"Report: {report_path}" in output
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with csv_path.open(newline="", encoding="utf-8") as csv_file:
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rows = list(csv.DictReader(csv_file))
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assert [row["exists_by_filename"] for row in rows] == ["True", "False"]
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assert "Total missing references: 1" in report_path.read_text(encoding="utf-8")
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from pathlib import Path
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import pytest
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from serato_doctor.crate_parser import clean_path, load_crate, parse_crate
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@pytest.mark.parametrize(
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("artifact", "expected"),
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[
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("song.mp漳", "song.mp3"),
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("song.m4愠", "song.m4a"),
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("song.wa瘠", "song.wav"),
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("song.ai映", "song.aif"),
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],
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)
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def test_clean_path_repairs_known_extension_artifacts(artifact, expected):
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assert clean_path(artifact) == expected
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def test_parse_crate_extracts_references(tmp_path):
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crate_path = tmp_path / "House.crate"
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crate_text = (
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"header"
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"Users/djsplice/OneDrive/Jukebox/House/First.mp漳牴k"
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"metadata"
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"Users/djsplice/OneDrive/Jukebox/House/Second.m4愠otrk"
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)
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crate_path.write_bytes(crate_text.encode("utf-16-le"))
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crate = load_crate(crate_path)
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assert crate.path == crate_path
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assert [reference.filename for reference in crate.references] == [
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"First.mp3",
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"Second.m4a",
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]
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assert parse_crate(crate_path) == list(crate.references)
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def test_parse_crate_ignores_record_without_stop_marker(tmp_path):
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crate_path = Path(tmp_path) / "Incomplete.crate"
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crate_path.write_bytes(
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"Users/djsplice/OneDrive/Jukebox/House/Incomplete.mp3".encode("utf-16-le")
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)
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assert parse_crate(crate_path) == []
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from pathlib import Path
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from serato_doctor.models.library import Library
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from serato_doctor.models.reference import TrackReference
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from serato_doctor.models.track import DiskTrack
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def test_library_reconciles_references_by_filename():
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crate = Path("House.crate")
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references = [
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TrackReference(crate, Path("/old/Found.mp3"), "Found.mp3"),
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TrackReference(crate, Path("/old/Missing.mp3"), "Missing.mp3"),
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]
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tracks = [DiskTrack(Path("/new/Found.mp3"), "Found.mp3", 10, ".mp3")]
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results = Library.build(references, tracks).reconcile_by_filename()
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assert [result.exists_by_filename for result in results] == [True, False]
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assert results[1].as_row() == {
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"crate": "House.crate",
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"serato_path": "/old/Missing.mp3",
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"filename": "Missing.mp3",
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"exists_by_filename": False,
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}
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@@ -0,0 +1,17 @@
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from serato_doctor.scanner import scan_audio
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def test_scan_audio_finds_supported_files(tmp_path):
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music = tmp_path / "music"
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nested = music / "House"
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nested.mkdir(parents=True)
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(nested / "First.MP3").write_bytes(b"synthetic audio")
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(nested / "Second.flac").write_bytes(b"fixture")
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(nested / "notes.txt").write_text("not audio", encoding="utf-8")
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tracks = scan_audio(music)
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assert {track.filename for track in tracks} == {"First.MP3", "Second.flac"}
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first = next(track for track in tracks if track.filename == "First.MP3")
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assert first.suffix == ".mp3"
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assert first.size == len(b"synthetic audio")
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