Add transparent library health engine

serato_doctor/health.py

@@ -0,0 +1,43 @@
+from collections import Counter
+
+from serato_doctor.matching import MatchingEngine
+from serato_doctor.models.health import HealthReport
+from serato_doctor.models.library import Library
+
+
+def analyze_health(library: Library) -> HealthReport:
+    """Calculate defensible health metrics without changing the library."""
+
+    results = library.reconcile_by_filename()
+    missing = [result for result in results if not result.exists_by_filename]
+    healthy_count = len(results) - len(missing)
+    score = (
+        round(healthy_count / len(results) * 100, 1) if results else None
+    )
+
+    disk_name_counts = Counter(track.filename for track in library.tracks)
+    duplicate_counts = [count for count in disk_name_counts.values() if count > 1]
+    referenced_names = {reference.filename for reference in library.references}
+    unused_count = sum(
+        1 for track in library.tracks if track.filename not in referenced_names
+    )
+
+    matcher = MatchingEngine(library.tracks)
+    suggested_count = sum(
+        bool(matcher.candidates_for(result.reference)) for result in missing
+    )
+
+    return HealthReport(
+        score=score,
+        total_references=len(results),
+        healthy_references=healthy_count,
+        missing_references=len(missing),
+        unique_missing_filenames=len(
+            {result.reference.filename for result in missing}
+        ),
+        disk_tracks=len(library.tracks),
+        duplicate_filename_groups=len(duplicate_counts),
+        duplicate_files=sum(count - 1 for count in duplicate_counts),
+        unused_tracks=unused_count,
+        suggested_matches=suggested_count,
+    )

serato_doctor/models/__init__.py

@@ -1,4 +1,5 @@
 from serato_doctor.models.crate import Crate
+from serato_doctor.models.health import HealthReport
 from serato_doctor.models.library import Library
 from serato_doctor.models.match import MatchEvidence, TrackMatch
 from serato_doctor.models.reference import ReferenceResult, TrackReference
@@ -7,6 +8,7 @@ from serato_doctor.models.track import DiskTrack
 __all__ = [
     "Crate",
     "DiskTrack",
+    "HealthReport",
     "Library",
     "MatchEvidence",
     "ReferenceResult",

serato_doctor/models/health.py

@@ -0,0 +1,22 @@
+from dataclasses import dataclass
+from typing import Optional
+
+
+@dataclass(frozen=True)
+class HealthReport:
+    """Transparent aggregate findings from a read-only library analysis."""
+
+    score: Optional[float]
+    total_references: int
+    healthy_references: int
+    missing_references: int
+    unique_missing_filenames: int
+    disk_tracks: int
+    duplicate_filename_groups: int
+    duplicate_files: int
+    unused_tracks: int
+    suggested_matches: int
+
+    @property
+    def score_basis(self) -> str:
+        return "Resolved crate references / total crate references"