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>
This commit is contained in:
@@ -18,14 +18,6 @@ from app.models.user import User
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from app.models.photos import Photo
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from app.models.folders import SourceRoot
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from app.config import settings
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from app.services.feature_flags import (
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ALL_FLAGS,
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snapshot as flags_snapshot,
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set_flag,
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reset_flag,
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is_enabled,
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FLAG_VISION_ENABLED,
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)
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logger = logging.getLogger(__name__)
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@@ -266,104 +258,3 @@ async def delete_user(
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logger.info(f"Admin '{admin.username}' deactivated user '{user.username}'")
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return {"status": "ok", "detail": f"User '{user.username}' deactivated"}
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# ---------------------------------------------------------------------------
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# AI / vision feature flags + manual triggers
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# ---------------------------------------------------------------------------
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class FeatureFlagUpdate(BaseModel):
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"""PATCH body for toggling a feature flag.
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``value`` sets an explicit override (true/false); omitting it clears
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the override and reverts the flag to its YAML default.
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"""
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value: Optional[bool] = None
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@router.get("/feature-flags")
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async def get_feature_flags(admin: User = Depends(require_admin)):
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"""Return every tunable feature flag with its current effective
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value, YAML default, and whether an admin override is in effect."""
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return {"flags": flags_snapshot()}
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@router.patch("/feature-flags/{flag_name}")
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async def update_feature_flag(
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flag_name: str,
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body: FeatureFlagUpdate,
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admin: User = Depends(require_admin),
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):
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"""Set or clear an override for one flag. With ``value`` set, the
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flag is pinned to that boolean; without it, the override is deleted
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and the YAML default takes over again.
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New value is observed by vision tasks on their next invocation —
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there's no worker restart required.
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"""
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if flag_name not in ALL_FLAGS:
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raise HTTPException(status_code=404, detail=f"Unknown flag: {flag_name}")
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try:
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if body.value is None:
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reset_flag(flag_name)
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action = "cleared override"
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else:
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set_flag(flag_name, bool(body.value))
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action = f"set to {body.value}"
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except RuntimeError as e:
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# Redis unreachable — surface as 503 so the UI doesn't think it
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# succeeded silently.
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raise HTTPException(status_code=503, detail=str(e))
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logger.info(f"Admin '{admin.username}' {action} for flag '{flag_name}'")
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return {"flags": flags_snapshot()}
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class BackfillVisionBody(BaseModel):
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"""POST body for triggering a classifier backfill. ``limit`` caps how
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many photos are queued."""
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limit: Optional[int] = None
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@router.post("/ai/backfill")
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async def trigger_ai_backfill(
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body: BackfillVisionBody,
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admin: User = Depends(require_admin),
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):
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"""Queue a classifier backfill pass."""
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if not is_enabled(FLAG_VISION_ENABLED):
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raise HTTPException(
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status_code=400,
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detail="Vision is currently disabled; enable it before running a backfill.",
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)
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if body.limit is not None and body.limit <= 0:
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raise HTTPException(status_code=400, detail="limit must be positive")
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from app.tasks.vision import backfill_vision
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result = backfill_vision.apply_async(kwargs={'limit': body.limit})
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logger.info(
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f"Admin '{admin.username}' queued vision backfill "
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f"(limit={body.limit}, celery_id={result.id})"
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)
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return {
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"status": "queued",
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"task_id": result.id,
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"limit": body.limit,
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}
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@router.post("/ai/rescan")
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async def trigger_full_rescan(admin: User = Depends(require_admin)):
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"""Dispatch the same scan_all_source_roots job the backend runs at
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startup. Picks up any new files on disk and, through the
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post-scan hook, queues a vision backfill for whatever still lacks
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embeddings / OCR / etc.
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"""
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from app.tasks.scan import scan_all_source_roots
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result = scan_all_source_roots.apply_async()
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logger.info(
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f"Admin '{admin.username}' queued full rescan (celery_id={result.id})"
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)
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return {"status": "queued", "task_id": result.id}
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@@ -1,23 +0,0 @@
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"""
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Public feature-flag read API — lets the authenticated frontend know
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which AI-powered sections to render.
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This is NOT the admin mutation endpoint (that's in ``admin.py`` and
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gated by ``require_admin``). Here we only expose the effective boolean
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state so the UI can hide things like the People view, Tags view, or
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text-search affordances when the underlying pipeline stage is off.
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"""
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from fastapi import APIRouter, Depends
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from app.dependencies import get_current_user
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from app.models.user import User
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from app.services.feature_flags import ALL_FLAGS, is_enabled
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router = APIRouter()
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@router.get("")
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async def get_enabled_features(_: User = Depends(get_current_user)):
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"""Return ``{flag_name: bool}`` for every known flag, reflecting
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the currently effective value (admin override or YAML default)."""
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return {name: is_enabled(name) for name in ALL_FLAGS}
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@@ -102,12 +102,6 @@ async def get_library_stats(
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)
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).scalar() or 0
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needs_review_count = (
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await db.execute(
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select(func.count(Photo.id)).where(visible, Photo.needs_review.is_(True))
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)
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).scalar() or 0
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# Legacy split (kept for the existing /stats consumers).
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photo_count = (
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await db.execute(
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@@ -134,7 +128,6 @@ async def get_library_stats(
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"with_gps": with_gps_count,
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"duplicates": duplicates_count,
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"discarded": discarded_count,
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"needs_review": needs_review_count,
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"total_photos": photo_count,
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"total_videos": video_count,
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"total_size": size,
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@@ -465,8 +458,7 @@ async def get_worker_status(
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r = _redis.Redis.from_url(settings.redis_url, socket_timeout=1.0)
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r.ping()
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broker_ok = True
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# `vision` runs the content classifier — the only heavy queue.
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for q in ('default', 'high', 'low', 'vision'):
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for q in ('default', 'high', 'low'):
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try:
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queue_depths[q] = int(r.llen(q) or 0)
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except Exception:
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@@ -595,17 +587,6 @@ async def get_pipeline_stats(
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)
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)
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# Classified: distinct photos with a content_type tag.
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classified_done = await scalar_count(
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select(func.count(func.distinct(photo_tags.c.photo_id)))
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.select_from(photo_tags)
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.join(Photo, Photo.id == photo_tags.c.photo_id)
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.where(not_discarded, photo_tags.c.source == 'vision:clip_classifier')
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)
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needs_review_count = await scalar_count(
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select(func.count(Photo.id)).where(not_discarded, Photo.needs_review.is_(True))
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)
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duplicate_groups = await scalar_count(
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select(func.count(func.distinct(Photo.duplicate_group_id))).where(
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not_discarded, Photo.duplicate_group_id.is_not(None)
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@@ -649,13 +630,6 @@ async def get_pipeline_stats(
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"total": total_images,
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"hint": "Feeds duplicate detection.",
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},
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{
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"key": "classification",
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"label": "Content classification (photo vs other)",
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"done": classified_done,
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"total": total_images,
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"hint": f"{needs_review_count} photos flagged for review.",
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},
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{
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"key": "duplicates",
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"label": "Duplicate groups",
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@@ -73,7 +73,6 @@ async def list_photos(
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color_label: Optional[str] = None,
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is_discarded: Optional[bool] = False,
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is_duplicate: Optional[bool] = None,
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needs_review: Optional[bool] = None,
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has_date_warning: Optional[bool] = None,
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heap_id: Optional[str] = None,
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sort: str = "taken_at",
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@@ -244,8 +243,6 @@ async def list_photos(
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# view shows everything regardless of duplicate status.
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if is_duplicate is not None:
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filters.append(Photo.is_duplicate == is_duplicate)
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if needs_review is not None:
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filters.append(Photo.needs_review == needs_review)
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if has_date_warning is not None:
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filters.append(Photo.has_date_warning == has_date_warning)
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