dtoro
733c16bf82
The Duplicates section was useless: SHA-256-only detection only caught
byte-identical files, not the actual duplicates a real library
accumulates (re-encoded JPEGs, screenshots, resized exports), and the
view was a flat date-sorted list with no grouping or actions. This
replaces the whole flow.
Detection
- New phash + duplicate_group_id columns on Photo, added via an
idempotent ALTER TABLE pass in init_db (the project has no Alembic).
- Thumbs worker computes a 64-bit pHash from the original-resolution
decoded frame just before the destructive thumbnail loop. Falls back
silently — phash is nice-to-have, not a blocker for thumbnails.
- backfill_phashes Celery task fills in phashes for photos that
predated the column, reading the existing thumb_large rather than
re-decoding the original.
- regroup_duplicates service runs union-find over Hamming distance
(threshold 6), persists duplicate_group_id, and maintains is_duplicate
as derived state so existing badges/counts keep working. Chained
after scan_all_source_roots with a 60s countdown.
API
- GET /library/duplicates/groups returns all groups with members,
bucketed in Python from one query. Each group has a reason ("exact"
iff every member shares a SHA-256, "similar" otherwise).
- POST /library/maintenance/{regroup-duplicates,backfill-phashes}.
Frontend
- New DuplicatesView (sectioned grid, one section per cluster) replaces
the timeline when the user is in the duplicates section. Each section
shows a "Keep best, discard N" button that picks the highest-pixel
copy and reuses the existing undoable bulk-discard so Cmd+Z works.
- Manual best override: hover any non-best thumbnail and click "Keep
this" (Crown icon, top-right) to override the auto-pick. The header
annotates "(manual)" so it's obvious which copy will be kept.
- Keyboard nav within the duplicates view walks the flat member list,
with ↑/↓ jumping by the measured column count and scrollIntoView on
every move. Timeline's keyboard handler now early-returns in the
duplicates section so the two don't fight.
- BEST pill / Keep-this button live at top-right with a ring outline so
they don't collide visually with the cyan selection ring around a
selected cell. Dimensions chip moved to bottom-left to free both
right corners for the keep affordances.
- New "Duplicates" section in SettingsDialog: shows group/member counts
and exposes both backfill + re-detect actions, sharing a query cache
with DuplicatesView via DUPLICATE_GROUPS_QUERY_KEY.
- PhotoInfoPanel "Basic Info" section now shows the photo's full file
path in monospace below the size/dimensions/date grid.
- New imagehash==4.3.1 dep in requirements.txt.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
574 lines
21 KiB
Python
574 lines
21 KiB
Python
"""
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Library API router for stats, scanning, and maintenance.
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The /maintenance/* endpoints are surfaced through the frontend Settings
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panel. They're intentionally idempotent and operate by re-queueing the
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existing Celery tasks rather than doing any heavy lifting in the
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request thread.
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"""
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import logging
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import os
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import shutil
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from typing import List, Optional
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from fastapi import APIRouter, Depends
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from pydantic import BaseModel, Field
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from sqlalchemy import select, func, update
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.database import get_db
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from app.models import Photo
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logger = logging.getLogger(__name__)
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router = APIRouter()
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# Media types we accept in the regenerate-thumbnails request body. Mirrors
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# the values produced by `app.tasks.scan.get_media_type`.
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_VALID_MEDIA_TYPES = {'photo', 'raw', 'heic', 'video'}
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@router.get("/stats")
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async def get_library_stats(db: AsyncSession = Depends(get_db)):
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"""Get library statistics + per-section counts. Each section count
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matches the filter the sidebar applies when you click it, so the
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sidebar badges and the timeline below them stay in sync.
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- all_photos: non-discarded photos + videos (matches the All
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Photos section's default filter)
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- rated: non-discarded with rating >= 1
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- duplicates: non-discarded with is_duplicate = true
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- discarded: is_discarded = true
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- total_size: raw bytes across every row, including discarded
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"""
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not_discarded = Photo.is_discarded.is_(False)
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all_photos_count = (
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await db.execute(select(func.count(Photo.id)).where(not_discarded))
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).scalar() or 0
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rated_count = (
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await db.execute(
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select(func.count(Photo.id)).where(not_discarded, Photo.rating >= 1)
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)
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).scalar() or 0
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duplicates_count = (
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await db.execute(
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select(func.count(Photo.id)).where(
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not_discarded, Photo.is_duplicate.is_(True)
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)
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)
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).scalar() or 0
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discarded_count = (
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await db.execute(
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select(func.count(Photo.id)).where(Photo.is_discarded.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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select(func.count(Photo.id)).where(
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Photo.media_type.in_(['photo', 'heic', 'raw'])
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)
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)
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).scalar() or 0
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video_count = (
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await db.execute(
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select(func.count(Photo.id)).where(Photo.media_type == 'video')
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)
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).scalar() or 0
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size = (await db.execute(select(func.sum(Photo.file_size)))).scalar() or 0
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return {
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"all_photos": all_photos_count,
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"rated": rated_count,
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"duplicates": duplicates_count,
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"discarded": discarded_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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"total_size_gb": round(size / (1024**3), 2) if size else 0,
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}
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@router.post("/scan")
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async def trigger_scan():
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"""Trigger full library re-scan"""
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from app.tasks.scan import scan_all_source_roots
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scan_all_source_roots.delay()
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return {"status": "success", "message": "Library scan started"}
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@router.get("/scan/status")
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async def get_scan_status(db: AsyncSession = Depends(get_db)):
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"""Get current scan status"""
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import redis
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from app.config import settings
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# Connect to Redis to get scan status
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r = redis.Redis.from_url(settings.redis_url)
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# Get scan status from Redis (set by worker tasks)
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is_scanning = r.get('scan:active') == b'true'
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current_folder = r.get('scan:current_folder')
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processed_files = int(r.get('scan:processed_files') or 0)
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total_files = int(r.get('scan:total_files') or 0)
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errors = r.lrange('scan:errors', 0, -1)
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return {
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"is_scanning": is_scanning,
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"current_folder": current_folder.decode() if current_folder else None,
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"processed_files": processed_files,
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"total_files": total_files,
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"errors": [e.decode() for e in errors] if errors else []
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}
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# ---------------------------------------------------------------------------
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# Maintenance endpoints — surfaced via the Settings panel.
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# ---------------------------------------------------------------------------
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class RegenerateThumbnailsRequest(BaseModel):
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"""Optional filters narrowing which photos get re-queued. With both
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fields omitted the request resets every photo in the library."""
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media_types: Optional[List[str]] = Field(
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default=None,
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description="Restrict to these media_type values (photo/raw/heic/video).",
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)
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only_failed: bool = Field(
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default=False,
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description="If true, only re-queue photos whose processing_status is 'failed'.",
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)
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only_pending: bool = Field(
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default=False,
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description="If true, only (re-)queue photos whose processing_status is 'pending'. "
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"Useful for kicking rows that were created by a scan but never had "
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"their thumbnail task picked up.",
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)
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@router.get("/maintenance/thumbnail-stats")
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async def get_thumbnail_stats(db: AsyncSession = Depends(get_db)):
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"""Counts of photos by processing_status, plus a media-type breakdown
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so the Settings panel can show the user what's outstanding."""
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status_rows = (
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await db.execute(
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select(Photo.processing_status, func.count(Photo.id)).group_by(
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Photo.processing_status
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)
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)
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).all()
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media_rows = (
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await db.execute(
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select(Photo.media_type, func.count(Photo.id)).group_by(Photo.media_type)
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)
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).all()
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by_status = {status or 'unknown': count for status, count in status_rows}
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by_media_type = {media or 'unknown': count for media, count in media_rows}
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total = sum(by_status.values())
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return {
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"total": total,
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"pending": by_status.get('pending', 0),
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"processing": by_status.get('processing', 0),
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"completed": by_status.get('completed', 0),
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"failed": by_status.get('failed', 0),
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"by_media_type": by_media_type,
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}
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@router.post("/maintenance/regenerate-thumbnails")
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async def regenerate_thumbnails(
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body: RegenerateThumbnailsRequest,
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db: AsyncSession = Depends(get_db),
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):
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"""Reset matching photos' on-disk thumbnail directories and re-queue
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Celery thumbnail generation. Used by the Settings panel for the
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'regenerate video thumbnails' / 'regenerate failed' buttons.
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Files on disk are removed under /data/thumbs/<photo_id>/ so the next
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request to /photos/{id}/thumb/{size} actually re-generates instead of
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serving the stale placeholder.
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"""
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from app.tasks.thumbs import generate_thumbnails
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# Validate media_types early so a typo can't silently match nothing.
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media_types = body.media_types
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if media_types is not None:
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invalid = [m for m in media_types if m not in _VALID_MEDIA_TYPES]
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if invalid:
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return {
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"status": "error",
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"message": f"Invalid media_types: {invalid}. "
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f"Allowed: {sorted(_VALID_MEDIA_TYPES)}",
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}
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query = select(Photo)
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if media_types:
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query = query.where(Photo.media_type.in_(media_types))
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if body.only_failed:
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query = query.where(Photo.processing_status == 'failed')
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if body.only_pending:
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query = query.where(Photo.processing_status == 'pending')
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photos = (await db.execute(query)).scalars().all()
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cleared_dirs = 0
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file_errors = 0
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for photo in photos:
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thumb_dir = f"/data/thumbs/{photo.id}"
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if os.path.isdir(thumb_dir):
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try:
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shutil.rmtree(thumb_dir)
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cleared_dirs += 1
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except OSError as e:
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file_errors += 1
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logger.warning(f"Could not clear thumb dir {thumb_dir}: {e}")
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photo.processing_status = 'pending'
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photo.processing_error = None
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photo.thumb_small = None
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photo.thumb_medium = None
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photo.thumb_large = None
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await db.commit()
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# Queue celery tasks AFTER the commit so the worker sees the reset
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# state when it picks the job up.
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queued = 0
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for photo in photos:
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try:
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generate_thumbnails.delay(photo.id)
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queued += 1
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except Exception as e:
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logger.warning(f"Could not queue thumbnail job for {photo.id}: {e}")
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return {
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"status": "success",
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"matched": len(photos),
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"queued": queued,
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"cleared_dirs": cleared_dirs,
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"file_errors": file_errors,
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"filters": {
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"media_types": media_types,
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"only_failed": body.only_failed,
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},
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}
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@router.get("/maintenance/worker-status")
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async def get_worker_status(db: AsyncSession = Depends(get_db)):
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"""Diagnostics for the Celery worker fleet + recent task failures.
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Surfaced in the Settings panel so the user can spot a stuck queue or
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a worker that's gone away without tailing container logs. Returns:
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- workers: list of {name, status, active, concurrency, queues}
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derived from celery_app.control.inspect(). `status` is 'online'
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when ping succeeds, 'unreachable' otherwise. Empty list means no
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workers are responding at all (broker down, container crashed,
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wrong queue routing, etc.).
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- queues: per-queue depth read from Redis (LLEN of each queue key
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used by celery.kombu). Mirrors what tasks are waiting to be
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picked up.
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- failures: aggregate count of photos with processing_status='failed'
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plus the most recent N error messages so the user can see *why*
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things failed without opening the DB.
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- broker_ok: bool — could we even reach Redis?
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"""
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from app.tasks.celery import celery_app
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from app.config import settings
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import redis as _redis
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# ----- Celery inspect (workers + active tasks) -------------------------
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# Each inspect.* call is a separate broadcast-and-wait with its own
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# timeout, so running them serially multiplies the wait. Fan them out
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# to threads and gather, collapsing 6 × timeout into ~1 × timeout.
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# Timeout dropped to 0.5s — a responsive worker answers within a few
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# ms; anything past that is effectively "not responding" for the
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# purposes of a settings dashboard.
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import asyncio
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workers: list[dict] = []
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inspect_error: Optional[str] = None
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try:
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inspect = celery_app.control.inspect(timeout=0.5)
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ping, active, reserved, scheduled, stats, active_queues = await asyncio.gather(
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asyncio.to_thread(inspect.ping),
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asyncio.to_thread(inspect.active),
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asyncio.to_thread(inspect.reserved),
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asyncio.to_thread(inspect.scheduled),
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asyncio.to_thread(inspect.stats),
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asyncio.to_thread(inspect.active_queues),
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)
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ping = ping or {}
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active = active or {}
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reserved = reserved or {}
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scheduled = scheduled or {}
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stats = stats or {}
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active_queues = active_queues or {}
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worker_names = set(ping) | set(active) | set(stats)
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for name in sorted(worker_names):
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wstats = stats.get(name) or {}
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pool = wstats.get('pool') or {}
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workers.append({
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"name": name,
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"status": "online" if name in ping else "unreachable",
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"active": len(active.get(name, []) or []),
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"reserved": len(reserved.get(name, []) or []),
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"scheduled": len(scheduled.get(name, []) or []),
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"concurrency": pool.get('max-concurrency'),
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"processed": (wstats.get('total') or {}),
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"queues": [q.get('name') for q in (active_queues.get(name) or [])],
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"active_tasks": [
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{
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"id": t.get('id'),
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"name": t.get('name'),
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"args": t.get('args'),
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"time_start": t.get('time_start'),
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}
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for t in (active.get(name) or [])[:10]
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],
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})
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except Exception as e:
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inspect_error = str(e)
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logger.warning(f"Celery inspect failed: {e}")
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# ----- Broker / queue depth --------------------------------------------
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broker_ok = False
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queue_depths: dict[str, int] = {}
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broker_error: Optional[str] = None
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try:
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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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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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queue_depths[q] = 0
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except Exception as e:
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broker_error = str(e)
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logger.warning(f"Redis broker unreachable: {e}")
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# ----- Recent task failures from the photos table ----------------------
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failed_total = (
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await db.execute(
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select(func.count(Photo.id)).where(Photo.processing_status == 'failed')
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)
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).scalar() or 0
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recent_failed_rows = (
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await db.execute(
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select(
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Photo.id,
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Photo.filename,
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Photo.media_type,
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Photo.processing_error,
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Photo.updated_at,
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)
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.where(Photo.processing_status == 'failed')
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.order_by(Photo.updated_at.desc().nullslast())
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.limit(20)
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)
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).all()
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recent_failures = [
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{
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"photo_id": row[0],
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"filename": row[1],
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"media_type": row[2],
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"error": (row[3] or '')[:500],
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"updated_at": row[4].isoformat() if row[4] else None,
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}
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for row in recent_failed_rows
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]
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# ----- Most recent scan errors (Redis list) ----------------------------
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scan_errors: list[str] = []
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try:
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if broker_ok:
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r = _redis.Redis.from_url(settings.redis_url, socket_timeout=1.0)
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raw = r.lrange('scan:errors', 0, 19) or []
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scan_errors = [e.decode(errors='replace') for e in raw]
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except Exception as e:
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logger.debug(f"Could not read scan:errors: {e}")
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return {
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"broker_ok": broker_ok,
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"broker_error": broker_error,
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"inspect_error": inspect_error,
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"workers": workers,
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"worker_count": len(workers),
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"queues": queue_depths,
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"failures": {
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"total": failed_total,
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"recent": recent_failures,
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},
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"scan_errors": scan_errors,
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}
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@router.get("/maintenance/missing-stats")
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async def get_missing_stats():
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"""Count photos whose files no longer exist on disk under a mounted
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source root. Surfaced in Settings so the user can see a number before
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pulling the trigger on prune-missing. Cheap enough to call freely."""
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from app.services.cleanup import prune_missing_photos
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return await prune_missing_photos(dry_run=True)
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@router.post("/maintenance/prune-missing")
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async def run_prune_missing():
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"""Actually delete the orphaned photo rows reported by /missing-stats.
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Common cause: PHOTO_DIRS in .env was repointed at a different library
|
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leaving every old row dangling. Skips any photo whose source root
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isn't currently mounted (almost always means an unmounted drive)."""
|
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from app.services.cleanup import prune_missing_photos
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try:
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return {"status": "success", **(await prune_missing_photos(dry_run=False))}
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except Exception as e:
|
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logger.error(f"Prune missing failed: {e}")
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return {"status": "error", "message": str(e)}
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|
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|
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@router.post("/maintenance/cleanup")
|
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async def run_data_integrity_cleanup():
|
||
"""Re-run the source-roots / folders / photos data-integrity cleanup
|
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that normally only runs on backend startup. Idempotent."""
|
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from app.services.cleanup import cleanup_data_integrity
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|
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try:
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await cleanup_data_integrity()
|
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return {"status": "success"}
|
||
except Exception as e:
|
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logger.error(f"Manual cleanup failed: {e}")
|
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return {"status": "error", "message": str(e)}
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|
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|
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# ─────────────────────────────────────────────────────────────────────────
|
||
# Duplicate detection
|
||
# ─────────────────────────────────────────────────────────────────────────
|
||
|
||
@router.get("/duplicates/groups")
|
||
async def get_duplicate_groups(db: AsyncSession = Depends(get_db)):
|
||
"""Return every duplicate group with its members.
|
||
|
||
Drives the frontend grouped grid view in the Duplicates section. One
|
||
SQL query, bucketed in Python — no N+1, no per-member fetch. Groups
|
||
are sorted by member_count DESC then earliest taken_at DESC so the
|
||
biggest / most recent clusters bubble to the top.
|
||
|
||
Each group also carries a `reason` field:
|
||
* "exact" — every member shares the same SHA-256 (true byte
|
||
duplicates that the perceptual hash trivially caught)
|
||
* "similar" — members differ at the byte level but match perceptually
|
||
"""
|
||
rows = (
|
||
await db.execute(
|
||
select(
|
||
Photo.id,
|
||
Photo.filename,
|
||
Photo.taken_at,
|
||
Photo.file_size,
|
||
Photo.width,
|
||
Photo.height,
|
||
Photo.thumb_small,
|
||
Photo.file_hash,
|
||
Photo.folder_id,
|
||
Photo.media_type,
|
||
Photo.duplicate_group_id,
|
||
)
|
||
.where(Photo.duplicate_group_id.is_not(None))
|
||
.where(Photo.is_discarded.is_(False))
|
||
.order_by(Photo.duplicate_group_id)
|
||
)
|
||
).all()
|
||
|
||
# Bucket members by group_id.
|
||
groups: dict[str, list[dict]] = {}
|
||
for row in rows:
|
||
member = {
|
||
"id": row[0],
|
||
"filename": row[1],
|
||
"taken_at": row[2].isoformat() if row[2] else None,
|
||
"file_size": row[3],
|
||
"width": row[4],
|
||
"height": row[5],
|
||
"thumb_small": row[6],
|
||
"file_hash": row[7],
|
||
"folder_id": row[8],
|
||
"media_type": row[9],
|
||
}
|
||
groups.setdefault(row[10], []).append(member)
|
||
|
||
def earliest(g: list[dict]) -> str:
|
||
# Used as a secondary sort key. Photos with no taken_at sort last
|
||
# by returning a far-future sentinel.
|
||
taken = [m["taken_at"] for m in g if m["taken_at"]]
|
||
return min(taken) if taken else "9999"
|
||
|
||
out = []
|
||
for group_id, members in groups.items():
|
||
if len(members) < 2:
|
||
# Defensive: a regroup race could leave a singleton briefly.
|
||
# Skip it so the UI never shows a "group of 1".
|
||
continue
|
||
# exact iff every member shares the same non-null file_hash
|
||
# (true byte-identical copies that pHash also caught). Anything
|
||
# else — different hashes, missing hashes — counts as "similar".
|
||
all_hashes = [m["file_hash"] for m in members]
|
||
reason = (
|
||
"exact"
|
||
if len(set(all_hashes)) == 1 and all_hashes[0] is not None
|
||
else "similar"
|
||
)
|
||
out.append({
|
||
"group_id": group_id,
|
||
"member_count": len(members),
|
||
"reason": reason,
|
||
"members": members,
|
||
})
|
||
|
||
out.sort(key=lambda g: (-g["member_count"], earliest(g["members"])))
|
||
return {
|
||
"groups": out,
|
||
"total_groups": len(out),
|
||
"total_members": sum(g["member_count"] for g in out),
|
||
}
|
||
|
||
|
||
@router.post("/maintenance/regroup-duplicates")
|
||
async def trigger_regroup_duplicates():
|
||
"""Recompute duplicate groups from current perceptual hashes.
|
||
|
||
Fires the celery `regroup_duplicates` task which walks every photo's
|
||
phash, clusters by Hamming distance, and rewrites duplicate_group_id /
|
||
is_duplicate columns. Idempotent."""
|
||
from app.tasks.thumbs import regroup_duplicates_task
|
||
try:
|
||
regroup_duplicates_task.delay()
|
||
return {"status": "queued"}
|
||
except Exception as e:
|
||
logger.error(f"Regroup queue failed: {e}")
|
||
return {"status": "error", "message": str(e)}
|
||
|
||
|
||
@router.post("/maintenance/backfill-phashes")
|
||
async def trigger_backfill_phashes():
|
||
"""Compute perceptual hashes for every photo currently missing one.
|
||
|
||
One-shot recovery path for libraries that existed before the phash
|
||
column was added — the thumbs worker computes phash for everything
|
||
new, but old rows need a backfill pass."""
|
||
from app.tasks.thumbs import backfill_phashes
|
||
try:
|
||
backfill_phashes.delay()
|
||
return {"status": "queued"}
|
||
except Exception as e:
|
||
logger.error(f"Backfill queue failed: {e}")
|
||
return {"status": "error", "message": str(e)} |