refactor: drop AI/vision pipeline + plain Postgres + full-refresh script

Removes the OpenCLIP-on-ONNX classifier and everything that fed or
consumed it:
  - backend: app/services/vision/, app/tasks/vision.py,
    app/services/feature_flags.py, app/routers/features.py — all
    deleted; admin AI/feature-flag endpoints and the worker-vision
    bootstrap call gone. Photo.needs_review and its index dropped.
  - frontend: AI Settings tab, useFeaturesQuery hook, FeatureFlag
    types, "Needs Review" sidebar entry + filter, needs_review filter
    URL param all gone.
  - infra: worker-vision compose service + models_data volume deleted;
    worker-light command no longer runs bootstrap_models; the db
    image switches from pgvector/pgvector:pg16 to postgres:16; backend
    Dockerfile drops the dedicated torch RUN layer; requirements.txt
    drops torch/torchvision/open-clip-torch/onnxruntime.

Alembic 0019_drop_ai_remnants:
  - drops photos.needs_review + ix_photos_needs_review
  - DROP EXTENSION IF EXISTS vector (must run before the image swap;
    the new postgres:16 doesn't ship pgvector)

New scripts/full_refresh.py: one-shot DB ↔ filesystem reconciliation.
Runs cleanup_data_integrity, scans every active SourceRoot inline
(no celery dependency so the worker can be stopped), hard-prunes
photo + folder rows for files that are gone, removes orphan
/data/thumbs/{user}/{photo}/ directories. New helper
prune_orphan_thumbnails in cleanup.py.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

backend/app/tasks/scan.py

@@ -479,7 +479,6 @@ async def _scan_all_source_roots_async():
     still hit Settings → Re-detect duplicates to force a fresh pass.
     """
     from app.tasks.thumbs import incremental_regroup_duplicates_task
-    from app.tasks.vision import backfill_vision
 
     async with AsyncSessionLocal() as session:
         result = await session.execute(
@@ -511,13 +510,6 @@ async def _scan_all_source_roots_async():
         except Exception as e:
             logger.warning(f"Could not queue post-scan regroup: {e}")
 
-        # 90s lets thumbnails finish so photos reach processing_status
-        # 'completed', which backfill_vision uses as its filter.
-        try:
-            backfill_vision.apply_async(countdown=90)
-        except Exception as e:
-            logger.warning(f"Could not queue post-scan vision backfill: {e}")
-
         # NOTE: we used to auto-queue `backfill_gps` here so photos
         # scanned before the GPS-extraction fix would eventually get
         # their coordinates populated. That fix shipped a long time