api/src/rehearsalhub/routers/internal.py

@@ -10,11 +10,12 @@ from sqlalchemy.ext.asyncio import AsyncSession
 
 from rehearsalhub.config import get_settings
 from rehearsalhub.db.engine import get_session
-from rehearsalhub.db.models import BandMember, Member
+from rehearsalhub.db.models import AudioVersion, BandMember, Member
 from rehearsalhub.repositories.audio_version import AudioVersionRepository
 from rehearsalhub.repositories.band import BandRepository
 from rehearsalhub.repositories.rehearsal_session import RehearsalSessionRepository
 from rehearsalhub.repositories.song import SongRepository
+from rehearsalhub.queue.redis_queue import RedisJobQueue
 from rehearsalhub.schemas.audio_version import AudioVersionCreate
 from rehearsalhub.services.session import extract_session_folder, parse_rehearsal_date
 from rehearsalhub.services.song import SongService
@@ -148,3 +149,37 @@ async def nc_upload(
     )
     log.info("nc-upload: registered version %s for song '%s'", version.id, song.title)
     return {"status": "ok", "version_id": str(version.id), "song_id": str(song.id)}
+
+
+@router.post("/reindex-peaks", status_code=200)
+async def reindex_peaks(
+    session: AsyncSession = Depends(get_session),
+    _: None = Depends(_verify_internal_secret),
+):
+    """Enqueue extract_peaks jobs for every audio_version that has no waveform_peaks yet.
+
+    Safe to call multiple times — only versions with null peaks are targeted.
+    Useful after:
+    - Fresh DB creation + directory scan (peaks not yet computed)
+    - Peak algorithm changes (clear waveform_peaks, then call this)
+    - Worker was down during initial transcode
+    """
+    result = await session.execute(
+        select(AudioVersion).where(AudioVersion.waveform_peaks.is_(None))  # type: ignore[attr-defined]
+    )
+    versions = result.scalars().all()
+
+    if not versions:
+        return {"status": "ok", "queued": 0, "message": "All versions already have peaks"}
+
+    queue = RedisJobQueue(session)
+    queued = 0
+    for version in versions:
+        await queue.enqueue(
+            "extract_peaks",
+            {"version_id": str(version.id), "nc_file_path": version.nc_file_path},
+        )
+        queued += 1
+
+    log.info("reindex-peaks: queued %d extract_peaks jobs", queued)
+    return {"status": "ok", "queued": queued}

worker/src/worker/main.py

@@ -66,15 +66,14 @@ async def handle_transcode(payload: dict, session: AsyncSession, settings) -> No
         peaks_500 = await loop.run_in_executor(None, extract_peaks, audio, 500)
         peaks_100 = await loop.run_in_executor(None, extract_peaks, audio, 100)
 
-        # TODO: Upload HLS segments back to Nextcloud / object storage
+        # NOTE: HLS upload to Nextcloud is not yet implemented.
-        # For now, store the local tmp path in the DB (replace with real upload logic)
+        # cdn_hls_base is intentionally left unchanged here — do NOT set it to a
-        hls_nc_path = f"hls/{version_id}"
+        # local tmp path that will be deleted. The stream endpoint falls back to
-
+        # nc_file_path (raw file from Nextcloud) when cdn_hls_base is null.
         stmt = (
             update(AudioVersionModel)
             .where(AudioVersionModel.id == version_id)
             .values(
-                cdn_hls_base=hls_nc_path,
                 waveform_peaks=peaks_500,
                 waveform_peaks_mini=peaks_100,
                 duration_ms=duration_ms,
@@ -106,9 +105,41 @@ async def handle_analyse_range(payload: dict, session: AsyncSession, settings) -
     log.info("Range analysis complete for annotation %s", annotation_id)
 
 
+async def handle_extract_peaks(payload: dict, session: AsyncSession, settings) -> None:
+    """Lightweight job: download audio and (re-)compute waveform peaks only.
+
+    Used by the reindex endpoint to backfill peaks for versions that were
+    registered before peak computation was added, or after algorithm changes.
+    Does NOT transcode, generate HLS, or run full analysis.
+    """
+    version_id = uuid.UUID(payload["version_id"])
+    nc_path = payload["nc_file_path"]
+
+    with tempfile.TemporaryDirectory(dir=settings.audio_tmp_dir) as tmp:
+        audio, _sr, _local_path = await load_audio(nc_path, tmp, settings)
+
+        loop = asyncio.get_event_loop()
+        peaks_500 = await loop.run_in_executor(None, extract_peaks, audio, 500)
+        peaks_100 = await loop.run_in_executor(None, extract_peaks, audio, 100)
+
+    stmt = (
+        update(AudioVersionModel)
+        .where(AudioVersionModel.id == version_id)
+        .values(
+            waveform_peaks=peaks_500,
+            waveform_peaks_mini=peaks_100,
+        )
+    )
+    await session.execute(stmt)
+    await session.commit()
+
+    log.info("extract_peaks complete for version %s", version_id)
+
+
 HANDLERS = {
     "transcode": handle_transcode,
     "analyse_range": handle_analyse_range,
+    "extract_peaks": handle_extract_peaks,
 }