Paul Nothaft edef4d7365 fix(images): backfill orientation for libraries that predate the fix (#1199)
* fix(images): backfill orientation for libraries that predate the fix (#1198)

#1194 corrected the generators and every ingest path, but did nothing for
photos already in the database. Those rows end up worse than untouched ones:
before the fix a rotated photo was CONSISTENTLY wrong — a sideways image in a
tile shaped to match — and afterwards the regenerated thumbnail is correct
while photos.width/height still describe the raw sensor order, so masonry and
justified size a portrait photo with a landscape ratio. The dimension repair
cannot reach them: it only selects rows with a NULL dimension, and an affected
row has both, just transposed.

Its own job rather than a mode of that one. They look alike but are not the
same operation: the repair FILLS missing values and touches nothing else,
while this RECOMPUTES and invalidates the derived data generated against the
old orientation. Sharing a lease would also mean one blocks the other.

A first attempt at this was reverted from #1194 after review found five
problems. All five are addressed here:

- Originals are read through resolvePhotoStorageKey + withLocalCopy +
  withProcessableImage, so the job works on S3 installs and on RAW/DNG. The
  dimension repair's direct fs read does neither, which stops being an edge
  case in a job that walks the whole library.
- The canonical preview is cleared BEFORE faces are requeued.
  ensurePreviewImage returns a cached preview whenever it is still a valid
  image, and a pre-fix unrotated one is perfectly valid — so requeueing alone
  made the rescan read unrotated pixels and scale those boxes by the corrected
  dimensions, which is worse than leaving the data alone.
- Invalidation keys off the EXIF transform, not a dimension delta. Orientations
  2, 3 and 4 move every pixel while leaving width and height unchanged, as does
  5-8 on a square image; a delta check skips exactly those rows.
- Archived events are excluded — archiving deletes the originals and keeps the
  rows, so every one of them would fail its read.
- The dimension write and the invalidation share a transaction. Split, a
  failure between them leaves stale face data that no retry can fix, because
  the retry computes "already correct".

Tier deletion stays outside the transaction on purpose: it touches storage, and
a failed object delete must not roll back a correct database write. A leftover
tier regenerates on next read; a rolled-back write is silent corruption.

* fix(images): invalidate every stale rendition, fence the writes, and give the job a button (#1198)

Three things from review, one of which mattered a lot.

The invalidation was too narrow. Clearing only preview_path fixed the face
data and left the gallery worse off: ensureThumbnail and ensureHeroImage
return their cached file whenever it is merely VALID, and a pre-fix sideways
thumbnail is perfectly valid — so a corrected row rendered the old sideways
image inside a newly-corrected portrait tile. All three canonical renditions
are cleared now, their stored objects deleted, and both responsive tier sets
with them.

The responsive tiers also needed handling rather than a hopeful catch. Their
helpers swallow delete errors, and ensurePreviewImageAtWidth treats
storage.stat(key) as a cache hit — so a tier that survived deletion keeps
serving unrotated forever and never regenerates. The keys are re-checked after
deletion and survivors are counted into the result, so a run that could not
clear them does not report itself as clean.

Writes are fenced on the identity that was measured, not just the id.
replacePhoto swaps a new file under an existing row and rewrites
path/filename, and it IS reachable — from the replace_by_name upload path in
adminPhotos.js. A replacement landing while this job read the old original
would otherwise have had the previous file's dimensions written over it and
its fresh renditions cleared.

And the job had no way to start it: the endpoint existed with no caller, so an
upgrade would have left every affected library untouched unless an operator
found the API themselves. It gets a Status card like its two neighbours, with
strings in en/de/fr/sl. No backlog counter, because unlike the other two it
cannot know how many rows need it without doing the work.

* fix(images): make the backfill idempotent, and stop it lying about what it did (#1198)

Six things from review round 2.

The job was not idempotent, and the way it failed was expensive. Its trigger is
the EXIF tag on the ORIGINAL, which correcting a photo never changes — so every
re-run threw away the renditions it had just regenerated and requeued every
completed face scan. On a face-enabled install, running it twice meant
re-detecting the whole library for nothing. Migration 191 adds
photos.orientation_checked_at, written in the same transaction as the work it
records, with `force` as the escape hatch for an interrupted run.

The candidate query selected preview_path but not thumbnail_path or hero_path,
which the deletion loop reads — so those two pointers were cleared in the
database while the objects stayed in storage, still reachable through
previously issued URLs.

watermark_path was missed entirely. gallery.js serves it ahead of the original
when branding watermarking is on, which makes it the most visible rendition of
the lot. (Its generator needed rotating too — that went into #1185, where the
other three live.)

storage.stat() RESOLVES with null for a missing key rather than rejecting, so
counting "the promise settled" marked every deleted — and every never-created —
tier as a survivor. A perfectly clean run told the operator to re-run. Now a
null means gone, and a rejection counts as stuck, since a storage error is not
proof the object went away.

Face data is invalidated whenever the stored dimensions change, not only when
the change came from rotation: boxes are scaled by photo.width at read time, so
any dimension change strands them.

And `corrected` now comes from the affected-row count. If the fence rejected the
write because the file was replaced mid-run, the photo was not corrected and
the run must not claim it was.

* fix(images): stop the backfill doing unnecessary work, and make its retry advice true (#1198)

Round 3, four points, all narrower than the last two rounds.

It re-processed photos that were already correct. A 5-8 rotation changes the
dimensions, so a tagged photo whose stored dimensions are ALREADY oriented must
have been ingested after #1185 — its renditions are fine and clearing them
deletes valid files and rescans a completed face detection for nothing. Those
are now skipped and simply marked. Orientations 2, 3 and 4 (and 5-8 on a square
image) leave the dimensions identical either way, so they carry no such
evidence and are still done once.

The retry advice was impossible to follow. When a responsive tier could not be
deleted the row was still marked, so the ordinary re-run the UI recommends
found nothing and the stale tier kept serving unrotated forever. The marker is
withheld when a tier survives, which is what makes that message honest.

Storage cleanup now only runs when a fenced write actually landed. If the file
was replaced mid-run every update matched zero rows, but the deletion went
ahead anyway and could destroy renditions belonging to the REPLACEMENT —
watermarks especially, which are keyed by photo id and alias straight onto the
new file.

And the full-photo ETag includes the backfill's timestamp. It was built from
the ORIGINAL's mtime plus the watermark settings hash, neither of which this
job touches — so a guest holding a pre-fix ETag would go on getting 304 and
their cached sideways image no matter how many times the backfill succeeded.

---------

Co-authored-by: Paul Nothaft <paul@MacStudio-von-Paul.local>
2026-08-26 21:01:51 +02:00

PicPeak Logo

📸 PicPeak

Open-source, self-hosted photo sharing for events.

License: MIT Docker Buy Me A Coffee

Homepage · Live Demo · Documentation · Support


PicPeak is a powerful, self-hosted open-source alternative to commercial photo-sharing platforms like PicDrop.com and Scrapbook.de. Built for photographers and event organizers, it makes it simple to share beautiful, time-limited photo galleries with clients while keeping full control over your data and branding.

PicPeak Gallery Preview

Important

PicPeak has moved to its own GitHub organization. Docker images are now at ghcr.io/picpeak/picpeak/{backend,frontend,aio,ml} (and on Docker Hub as picpeak/{backend,frontend,aio,ml}) and active development is on main. The old ghcr.io/the-luap/... path still responds but its tags are frozen at 2026-05-27 — if updates never arrive, check your image path first. See docs/migration-to-org.md for the one-line docker-compose.yml edit.

Contents

🎮 Live Demo

Try PicPeak without installing anything — demo.picpeak.app · admin panel

Email Password
demo@picpeak.app Demo2026!

The demo resets periodically. Uploaded content may be removed without notice.

🚀 Quick Start

Get PicPeak running in under 5 minutes:

# Clone the repository
git clone https://github.com/PicPeak/picpeak.git
cd picpeak

# Copy the environment template — the defaults work out of the box.
# Machine secrets (JWT, DB, Redis) are auto-generated on first run, and the
# admin account is created in the browser. Edit .env only to customise
# (domain, SMTP, storage paths, …) — nothing is required.
cp .env.example .env

# Start with Docker Compose
docker compose up -d

# Access at http://localhost:3000

On first start, open http://localhost:3000/admin and follow the in-browser setup to create your admin account. Full details — the one-time setup token, Docker file permissions, and ARM64 notes — are in First-run setup.

Updating / release channels: set PICPEAK_CHANNEL (stable default, or beta) in .env, then docker compose pull && docker compose up -d. See RELEASING.md for the promotion cadence.

Or: one container, no compose file

For a home server, a NAS, or a single small studio, the all-in-one image runs the whole app as one process with SQLite — no compose file, no separate database, no reverse proxy to wire up:

docker run -d --name picpeak -p 3000:3000 \
  -v picpeak:/data \
  ghcr.io/picpeak/picpeak/aio:main

No environment variables to set — the JWT secret is generated on first start and kept on the volume.

Then open http://localhost:3000/admin and read the setup token with docker exec picpeak cat /data/db/SETUP_TOKEN, or open db/SETUP_TOKEN on the volume with any file manager if the host has no shell.

:main is the active-development tag, and today it is the only one the all-in-one image has — Dockerfile.aio landed after the current stable release, so :stable and :latest first appear for this image once the aio build reaches the stable branch. Switch to :stable then, or pin a published version tag if you would rather not track main.

The compose stack above is still the right choice for anything busier — SQLite takes one writer at a time, and Postgres is what scales. You can move to it later without reinstalling: take a .picpeak backup and restore it into the full stack. See Single-container install for the volume layout, the external-Postgres variant, TLS, and the limits.

Docker images

GHCR Docker Hub
Backend ghcr.io/picpeak/picpeak/backend picpeak/backend
Frontend ghcr.io/picpeak/picpeak/frontend picpeak/frontend
All-in-one ghcr.io/picpeak/picpeak/aio picpeak/aio
ML sidecar (optional) ghcr.io/picpeak/picpeak/ml picpeak/ml

Both registries get the same digests and the same tags — stable/latest, a pinned x.y.z, and beta/main for the active development channel — for linux/amd64 and linux/arm64. Keep every image in one install on the same tag.

🌟 Why PicPeak?

Unlike expensive SaaS solutions, PicPeak gives you:

  • 💰 No Monthly Fees — one-time setup, unlimited galleries
  • 🔒 Complete Data Control — your photos stay on your server
  • 🎨 White-Label Ready — full branding customization
  • 📱 Mobile-First Design — beautiful on all devices
  • 🌍 Multi-Language — built-in i18n (EN, DE)

Features

For photographers — drag & drop upload, auto-expiring & password-protected galleries, automated emails, an analytics dashboard, custom themes, a public landing page, and a Live Slideshow projector view that auto-picks-up new uploads during live events.

For clients — clean mobile-optimized galleries, one-click bulk downloads, smart search, People in this gallery face grouping (opt-in per gallery, needs the optional ML sidecar), optional guest uploads, and download protection (watermarking + right-click prevention).

Technical — Docker-ready, automatic thumbnail generation, external media reference mode, smart archiving of expired galleries, S3-compatible storage backends, webhooks, and security-first defaults (JWT, rate limiting, CORS).

🧾 For studios — CRM & Accounting (Beta, off by default)
  • 📝 Quotes → Contracts → Invoices — one deal lineage; cancel-and-reissue (Storno) keeps issued invoices immutable
  • ⏱️ Hours Logging & Calendar — per-customer time tracking; admin calendar of events, logged hours, and pending quotes/contracts
  • 🧾 Inbound Supplier Invoices & Expenses — capture received invoices (upload/camera, rasterised server-side), categorise, and re-bill costs to clients
  • 📊 Tax Report & Accountant Export — period-scoped income/cost report with VAT breakdown; PDF/CSV plus a Treuhänder/Banana (Swiss/LI) journal export
  • 🌍 VAT & Multi-currency — single VAT-code registry snapshotted onto each document

Warning

CRM & Accounting — examples only, verify locally. Feature-flagged off by default. Seeded contract blocks are written by the maintainer, not a lawyer; QR-bills/SEPA payloads and every tax, VAT and Treuhänder/Banana figure are computed from your input and defaults and are jurisdiction-specific guidance only. Have your lawyer review contracts, scan a test QR with your bank's app, and verify all numbers with your accountant / Treuhänder / tax authority before customer-facing use. Read the CRM disclaimers first.

📖 Documentation

Full documentation lives at docs.picpeak.app — deployment, admin settings, API, branding, and more.

Topic Link
🚀 Deployment (Docker, env, reverse proxy, SSL) docs.picpeak.app/deployment
📦 Single-container install (one docker run, SQLite) docs.picpeak.app/deployment/single-container
⚙️ Admin settings reference docs.picpeak.app/guides/admin-settings
🎯 Creating events docs.picpeak.app/guides/creating-events
📽️ Live Slideshow docs.picpeak.app/features/live-slideshow
🙂 People in galleries (face grouping) docs.picpeak.app/features/face-recognition
💾 Backup & Restore docs.picpeak.app/guides/backup-restore
🔌 API reference docs.picpeak.app/api
🪝 Webhooks docs.picpeak.app/features/webhooks
💾 Storage backends (local / S3) docs.picpeak.app/features/storage-backends
💻 System requirements & tuning docs.picpeak.app/deployment/system-requirements
🧾 CRM & Accounting docs.picpeak.app/features/crm · disclaimers
🗺️ Roadmap GitHub Issues

Project meta: Contributing · License · Security · Code of Conduct

📊 Comparison with Alternatives

Feature PicPeak PicDrop Scrapbook.de Pixieset
Self-Hosted
Custom Branding Full Limited Limited (paid)
Monthly Cost $0* $29-199 €19-99 ~$60
Storage Limit Unlimited** 50-500GB 100-1000GB 3GBUnlimited***
Client Uploads Limited
API Access Paid
Open Source
Customer Accounts
Quotes / Contracts / Invoices 🧪 Beta
Incoming Invoices & Accounting 🧪 Beta

*You bring your own server and, optionally, a domain. **Limited only by your server storage. ***Pixieset's "unlimited" is photos only; video is capped by plan. 🧪 Beta = built but feature-flagged off by default.

🏗️ Tech Stack

  • Backend: Node.js, Express, SQLite/PostgreSQL
  • Frontend: React, Tailwind CSS, Framer Motion
  • Storage: Local filesystem (default) or S3-compatible object store (AWS S3, MinIO, R2, B2, Wasabi, Spaces) — see Storage Backends
  • Email: SMTP with customizable templates
  • Analytics: Privacy-focused with Umami integration
  • External media: point PicPeak at EXTERNAL_MEDIA_ROOT to reference existing originals read-only, index quickly, and generate thumbnails on demand

📸 Screenshots

Click to see the admin dashboard, analytics, and event management

🎛️ Admin Dashboard

PicPeak Admin Dashboard

📊 Analytics & Insights

PicPeak Analytics Dashboard

📁 Event Management

PicPeak Events Management

🤝 Contributing

We love contributions! PicPeak is built by photographers, for photographers — whether you're fixing bugs, adding features, or improving docs. See the Contributing Guide to get started.

Found a security issue? Please open a security issue. See SECURITY.md for the policy.

Support the Project

PicPeak is free, open source, and self-hostable forever. If it saves you time or replaces a paid subscription, consider buying me a coffee — it directly funds new features, bug fixes, and keeping the demo + docs running. You can also star the repo, share it, file good bug reports, or open a PR.

🙏 Acknowledgments

PicPeak is inspired by the best features of commercial platforms while remaining completely open source. It's developed with AI assistance, but human-tested end-to-end, security-audited, and human-reviewed for quality.

👥 Contributors

A huge thank you to the people whose code, reports, and feedback have shaped PicPeak:

@the-luap — creator and lead maintainer

  • Gallery foundation (events, uploads, sharing, download protection, templates)
  • Backup & restore, analytics, branding/theming
  • The architecture every later feature builds on

@Luca-Timo

  • Native Apple Silicon multi-arch images
  • CRM & accounting suite (quotes/contracts/invoices)
  • Hours logging & Treuhänder/Banana tax export
  • Gallery header/banner decoupling

@Rekoo-PS — bug reports & product feedback

  • Login-loop fix, mobile-lightbox overhaul, bulk-delete workflow
  • Also a BuyMeACoffee supporter

If you've contributed and aren't listed here, please open a PR — this list is meant to grow.

📄 License

PicPeak is released under the MIT License. Use it freely for personal or commercial projects.


Made with ❤️ by photographers, for photographers
Homepage · Live Demo · Documentation · Support

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Description
Secure photo sharing platform for weddings and events with automatic expiration and email notifications
Readme MIT 157 MiB
2025-07-24 15:24:20 +02:00
Languages
JavaScript 59.8%
TypeScript 38.5%
Shell 0.7%
Python 0.5%
CSS 0.4%
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