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Author SHA1 Message Date
Philip Guzman 09167e44c7 Introduce core library model 2026-06-30 10:10:14 -07:00
Philip Guzman 508eecd0bd Add project roadmap and architecture docs 2026-06-30 09:53:09 -07:00
Philip Guzman 577fe1f7a7 Merge improved parser into missing report branch 2026-06-30 09:18:22 -07:00
Philip Guzman c3bf111107 Add grouped missing reference report 2026-06-30 09:16:27 -07:00
Philip Guzman 826428f380 Improve Serato crate parser for UTF-16 LE path records 2026-06-30 08:43:11 -07:00
Philip Guzman 4ad5b8a574 Add working crate parser and filesystem scanner 2026-06-29 23:09:52 -07:00
15 changed files with 383 additions and 0 deletions
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@@ -11,3 +11,6 @@ reports/
# Never commit personal Serato data # Never commit personal Serato data
database V2 database V2
*.crate *.crate
# macOS
.DS_Store
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# Contributing
## Branching
- `main` is stable.
- `develop` is the integration branch.
- Feature branches use: `feature/<name>`.
## Safety Rules
Never commit personal music library files, Serato databases, or crates.
Never write repair code without dry-run mode, backup plan, and rollback log.
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# Serato Doctor Roadmap
## v0.1 — Library Inspector
- [x] Project repository
- [x] Filesystem scanner
- [x] Serato crate parser
- [x] Missing reference CSV report
- [x] Grouped missing reference report
- [ ] HTML health dashboard
- [ ] Test suite
- [ ] Sample library fixtures
- [ ] Database V2 read-only parser
## v0.2 — Diagnostics
- [ ] Duplicate filename detection
- [ ] Duplicate audio hash detection
- [ ] Broken symlink detection
- [ ] Orphaned audio detection
- [ ] OneDrive rename detection
- [ ] Crate classification: static vs smart/dynamic
- [ ] Library health score
## v0.3 — Safe Repair
- [ ] Dry-run repair plan
- [ ] Backup before repair
- [ ] Compatibility symlink creation
- [ ] Compatibility copy creation
- [ ] Rename repair
- [ ] Rollback log
## v0.4 — Migration Wizard
- [ ] Move library root
- [ ] Cloud provider migration
- [ ] External drive migration
- [ ] Verify moved library
- [ ] Update application references
## v1.0 — DJ Library Doctor
- [ ] Desktop UI
- [ ] Serato support
- [ ] Rekordbox support
- [ ] VirtualDJ support
- [ ] Engine DJ support
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# Architecture
Serato Doctor is designed as a DJ library inspection, repair, and migration platform.
## Design Principles
1. Read-only by default.
2. Every repair must support preview/dry-run.
3. Every repair must create a backup or rollback path.
4. Application-specific logic lives in engines.
5. Core matching and scanning logic should be application-agnostic.
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# Case Study: OneDrive Mac Migration
## Scenario
A large Serato DJ library was migrated from an older Mac to a newer Mac using OneDrive.
## Symptoms
- OneDrive client stuck syncing
- Duplicate OneDrive folders
- Thousands of files renamed with trailing ` 2`
- Serato reported many tracks as missing
- Some files existed on disk but still appeared orange in Serato
## Findings
- OneDrive sync state was rebuilt successfully
- Thousands of orphaned filename conflicts were repaired
- Some Serato references were stale database objects, not missing files
- Smart/dynamic crates should be classified separately from static user crates
## Lessons
- Filesystem health and Serato database health are separate problems
- Smart crates should not be treated the same as static crates
- Repair tools must be read-only by default and generate a plan before changing anything
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[project]
name = "serato-doctor"
version = "0.1.0"
description = "Inspect, diagnose, repair, and migrate DJ libraries."
requires-python = ">=3.9"
dependencies = []
[project.scripts]
serato-doctor = "serato_doctor.cli:main"
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from pathlib import Path
import argparse
from serato_doctor.crate_parser import parse_crates
from serato_doctor.models.library import Library
from serato_doctor.scanner import scan_audio
from serato_doctor.report import write_csv, write_missing_report
def main():
parser = argparse.ArgumentParser(prog="serato-doctor")
parser.add_argument("--serato", default=str(Path.home() / "Music/_Serato_"))
parser.add_argument("--music", default=str(Path.home() / "Library/CloudStorage/OneDrive-Personal/Jukebox"))
parser.add_argument("--out", default=str(Path.home() / "Desktop/serato_doctor_scan.csv"))
parser.add_argument("--report", default=str(Path.home() / "Desktop/serato_doctor_missing_report.txt"))
args = parser.parse_args()
serato = Path(args.serato)
music = Path(args.music)
out = Path(args.out)
report = Path(args.report)
library = Library.build(
references=parse_crates(serato / "Subcrates"),
tracks=scan_audio(music),
)
results = library.reconcile_by_filename()
missing_count = sum(1 for result in results if not result.exists_by_filename)
write_csv(results, out)
write_missing_report(results, report)
print(f"Crate references: {len(library.references)}")
print(f"Disk tracks: {len(library.tracks)}")
print(f"Missing by filename: {missing_count}")
print(f"CSV: {out}")
print(f"Report: {report}")
if __name__ == "__main__":
main()
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from pathlib import Path
from serato_doctor.models.crate import Crate
from serato_doctor.models.reference import TrackReference
def read_crate_text(crate_path: Path) -> str:
return crate_path.read_bytes().decode("utf-16-le", errors="ignore").replace("\x00", "")
def clean_path(raw: str) -> str:
# Common Serato decode artifacts where final extension char gets merged.
raw = raw.replace(".mp漳", ".mp3")
raw = raw.replace(".MP漳", ".MP3")
raw = raw.replace(".m4愠", ".m4a")
raw = raw.replace(".M4愠", ".M4A")
raw = raw.replace(".wa瘠", ".wav")
raw = raw.replace(".WA瘠", ".WAV")
raw = raw.replace(".ai映", ".aif")
raw = raw.replace(".AI映", ".AIF")
return raw.strip()
def load_crate(crate_path: Path) -> Crate:
text = read_crate_text(crate_path)
refs = []
marker = "Users/djsplice/OneDrive/Jukebox/"
# Serato record markers seen after paths in UTF-16-LE decoded crate data.
stop_markers = ["牴k", "otrk", "ptrk", "tvcn", "ovct"]
for part in text.split(marker)[1:]:
candidate = marker + part
stops = [candidate.find(m) for m in stop_markers if candidate.find(m) != -1]
if not stops:
continue
raw_path = "/" + candidate[: min(stops)]
raw_path = clean_path(raw_path)
path = Path(raw_path)
refs.append(
TrackReference(
source=crate_path,
path=path,
filename=path.name,
)
)
return Crate(path=crate_path, references=tuple(refs))
def parse_crate(crate_path: Path) -> list[TrackReference]:
"""Parse references from one crate, preserving the prototype API."""
return list(load_crate(crate_path).references)
def parse_crates(root: Path) -> list[TrackReference]:
refs = []
for crate in root.rglob("*.crate"):
refs.extend(parse_crate(crate))
return refs
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from serato_doctor.models.crate import Crate
from serato_doctor.models.library import Library
from serato_doctor.models.reference import ReferenceResult, TrackReference
from serato_doctor.models.track import DiskTrack
__all__ = ["Crate", "DiskTrack", "Library", "ReferenceResult", "TrackReference"]
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from dataclasses import dataclass
from pathlib import Path
from typing import Tuple
from serato_doctor.models.reference import TrackReference
@dataclass(frozen=True)
class Crate:
"""A Serato crate and the track references parsed from it."""
path: Path
references: Tuple[TrackReference, ...]
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from dataclasses import dataclass
from typing import Iterable, Tuple
from serato_doctor.models.reference import ReferenceResult, TrackReference
from serato_doctor.models.track import DiskTrack
@dataclass(frozen=True)
class Library:
"""The read-only view of crate references and audio found on disk."""
references: Tuple[TrackReference, ...]
tracks: Tuple[DiskTrack, ...]
@classmethod
def build(
cls,
references: Iterable[TrackReference],
tracks: Iterable[DiskTrack],
) -> "Library":
return cls(tuple(references), tuple(tracks))
def reconcile_by_filename(self) -> Tuple[ReferenceResult, ...]:
disk_names = {track.filename for track in self.tracks}
return tuple(
ReferenceResult(
reference=reference,
exists_by_filename=reference.filename in disk_names,
)
for reference in self.references
)
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from dataclasses import dataclass
from pathlib import Path
@dataclass(frozen=True)
class TrackReference:
"""A track path referenced by a Serato crate."""
source: Path
path: Path
filename: str
@dataclass(frozen=True)
class ReferenceResult:
"""The filename-level reconciliation result for a crate reference."""
reference: TrackReference
exists_by_filename: bool
def as_row(self) -> dict:
return {
"crate": str(self.reference.source),
"serato_path": str(self.reference.path),
"filename": self.reference.filename,
"exists_by_filename": self.exists_by_filename,
}
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from dataclasses import dataclass
from pathlib import Path
@dataclass(frozen=True)
class DiskTrack:
"""An audio file discovered on disk."""
path: Path
filename: str
size: int
suffix: str
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from collections import Counter, defaultdict
from pathlib import Path
from typing import Iterable
import csv
from serato_doctor.models.reference import ReferenceResult
def write_missing_report(results: Iterable[ReferenceResult], out: Path) -> None:
rows = [result.as_row() for result in results]
missing = [r for r in rows if not r["exists_by_filename"]]
crate_counts = Counter(r["crate"] for r in missing)
filename_counts = Counter(r["filename"] for r in missing)
with out.open("w", encoding="utf-8") as f:
f.write("# Serato Doctor Missing Report\n\n")
f.write(f"Total missing references: {len(missing)}\n\n")
f.write("## Missing by crate\n\n")
for crate, count in crate_counts.most_common():
f.write(f"{count:5} {crate}\n")
f.write("\n## Most common missing filenames\n\n")
for filename, count in filename_counts.most_common(100):
f.write(f"{count:5} {filename}\n")
f.write("\n## Detail\n\n")
by_crate = defaultdict(list)
for r in missing:
by_crate[r["crate"]].append(r["filename"])
for crate, names in sorted(by_crate.items()):
f.write(f"\n### {crate}\n")
for name in sorted(set(names)):
f.write(f"- {name}\n")
def write_csv(results: Iterable[ReferenceResult], out: Path) -> None:
rows = [result.as_row() for result in results]
with out.open("w", newline="", encoding="utf-8") as f:
writer = csv.DictWriter(
f,
fieldnames=["crate", "serato_path", "filename", "exists_by_filename"],
)
writer.writeheader()
writer.writerows(rows)
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from pathlib import Path
from serato_doctor.models.track import DiskTrack
AUDIO_SUFFIXES = {".mp3", ".m4a", ".wav", ".aif", ".aiff", ".flac"}
def scan_audio(folder: Path) -> list[DiskTrack]:
tracks = []
for path in folder.rglob("*"):
if not path.is_file():
continue
if path.suffix.lower() not in AUDIO_SUFFIXES:
continue
try:
stat = path.stat()
except OSError:
continue
tracks.append(
DiskTrack(
path=path,
filename=path.name,
size=stat.st_size,
suffix=path.suffix.lower(),
)
)
return tracks