photoview v0.1.0

Media

Photoview — a simple, fast photo gallery for self-hosted personal servers, with face recognition, timeline and map views, built to browse your existing photo directory. Deployed as a single host-networked Nomad service (SQLite).

nomad-pack run photoview --registry nomploy

…or one line (add registry + run)

curl -fsSL https://packs.nomploy.com/install.sh | sh -s -- photoview

Needs nomad-pack on PATH. The script only adds the nomploy registry and runs this pack.

Source ↗ Project ↗ ★ 6.5k ⚑ Report an issue

1 task http 8000 2 volumes image photoview/photoview:latest tracks :latest image bumped today

Variables 9

values.hcl

Save as values.hcl, edit, then run:

nomad-pack run photoview -f values.hcl --registry nomploy

# The name of the Nomad job.
job_name = "photoview"

# The Nomad namespace to deploy into.
namespace = "default"

# The datacenters to deploy to.
datacenters = ["*"]

# The Photoview container image. Pin a tag in production.
image = "photoview/photoview:latest"

# Host port for the Photoview web UI.
port = 8000

# Named volume for the SQLite database and generated media cache (/app/data).
data_volume = "photoview_data"

# Named volume for your photo library (/photos).
media_volume = "photoview_media"

# Placement constraints. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
constraints = []

# The task resources. Face recognition and thumbnailing benefit from more CPU/memory.
resources = {
    cpu    = 1000
    memory = 1024
  }

Name	Type	Default	Description
job_name	string	"photoview"	The name of the Nomad job.
namespace	string	"default"	The Nomad namespace to deploy into.
datacenters	list	["*"]	The datacenters to deploy to.
image	string	"photoview/photoview:latest"	The Photoview container image. Pin a tag in production.
port	number	8000	Host port for the Photoview web UI.
data_volume	string	"photoview_data"	Named volume for the SQLite database and generated media cache (/app/data).
media_volume	string	"photoview_media"	Named volume for your photo library (/photos).
constraints	list	[]	Placement constraints. On a nomploy cluster: attribute = "$${meta.nomploy_control_plane}", operator = "=", value = "true".
resources	object	{ cpu = 1000 memory = 1024 }	The task resources. Face recognition and thumbnailing benefit from more CPU/memory.

Back up this pack

This pack stores data in 2 Docker named volumes: photoview_dataphotoview_media

restic

# Run on the node hosting this pack. Point restic at your repo first:
#   export RESTIC_REPOSITORY="s3:https://<account>.r2.cloudflarestorage.com/<bucket>"
#   export RESTIC_PASSWORD="<repo-password>"
#   export AWS_ACCESS_KEY_ID=<key>  AWS_SECRET_ACCESS_KEY=<secret>
restic backup \
  /var/lib/docker/volumes/photoview_data/_data \
  /var/lib/docker/volumes/photoview_media/_data

rclone (sync to S3/R2)

rclone sync /var/lib/docker/volumes/photoview_data/_data backup:<bucket>/photoview_data
rclone sync /var/lib/docker/volumes/photoview_media/_data backup:<bucket>/photoview_media

Paths assume the default Docker volume location (/var/lib/docker/volumes). Restore by stopping the job, restoring files into the same volume, and re-running the pack.

Readme

photoview

Photoview is a simple and user-friendly photo gallery for people who keep their photos on their own server. It builds on top of your existing directory of photos, adding a fast web UI with a timeline, albums, map view, RAW support, video and face recognition — without moving or modifying your originals.

This pack runs Photoview as a single host-networked Nomad service using its built-in SQLite database, so there's no separate DB to run.

Deploy

nomad-pack run photoview --registry=nomploy

Open http://<node-ip>:8000, create the initial user, then add a media path pointing at /photos.

Configuration

Variable	Default	Description
`image`	`photoview/photoview:latest`	Container image (pin a tag in production).
`port`	`8000`	Host port for the web UI.
`data_volume`	`photoview_data`	Volume for the SQLite DB and cache (`/app/data`).
`media_volume`	`photoview_media`	Volume for your photo library (`/photos`).
`resources`	1000 MHz / 1024 MB	CPU and memory (face recognition wants more).

Mount your existing photo library at /photos (read-only is fine). The database and generated thumbnails persist in data_volume.