bvandeusen
41f2bec3af
buildx on this runner pushes the first tag to the registry and then re-pushes the remaining ones through the DOCKER driver, reading them out of a local image store that a registry-direct build never populated: #27 pushing …/fabledcurator:latest DONE 15.8s #28 pushing …/fabledcurator:c-0e15c44 with docker #28 ERROR: tag does not exist: …:c-0e15c44 It is intermittent — build-ml made the identical two-tag push seconds later in the same run and succeeded — and the consequence is worse than the red job suggests. `:latest` had already published, so production was correct while the immutable rollback tag rule 145 requires of every main push simply did not exist. Nothing else would ever have noticed: a missing :c-<sha> has no consumer that fails, so it surfaces at the moment somebody needs to roll back, which is the worst time to learn a rollback target was never written. So the build now pushes exactly one ref — the channel's — and the existing repoint step, which already excluded the source tag and already ran on every reuse, now runs on the build path too and owns every other tag. `imagetools create` is a registry-side manifest copy: no local daemon, nothing that can be absent. This adds no new code path; it puts the build case onto the one that was already proven. Chosen over the alternative of asserting each tag resolves after the build, which would have made the failure loud without making it rarer. The cost, accepted: `imagetools create` wraps its source in an index, so :c-<sha> is an index rather than a plain image and fc.revision does not resolve through it. Nothing reads that label off :c-<sha> — the reuse check only ever inspects the CHANNEL tag — and the index names the same manifest, so a pull is byte-identical. The reuse path already produced :c-<sha> this way; this only makes it uniform. `build_tags` goes with it — the tag list now has exactly one consumer.
FabledCurator
Self-hosted media curation — gallery, ML tagging, and subscription-driven downloading in one app. Part of the FabledSword family.
Combines what was ImageRepo (gallery, ML, importer) and GallerySubscriber (gallery-dl wrapper, subscriptions, credential capture) into a single product.
Status
In production. main is continuously deployed — every merge to main builds
and publishes :latest images, so whatever is on main is what is running.
Day-to-day work happens on dev, which publishes :dev images.
Versions and tags
Three image tags exist, and no others:
| Tag | Branch | Meaning |
|---|---|---|
:latest |
main |
Production. Moves on every merge. |
:c-<sha> |
main |
Immutable — the rollback unit, all three images together. |
:dev |
dev |
The rolling test channel. Moves on every push. |
There are deliberately no version tags. Nothing pins one, and a per-build
name nobody reads is upkeep for a model FC does not run (family rule 145; the
reasoning is note #3127 §5). Rolling back is docker pull …:c-<sha>.
Each artifact still has a version, derived rather than chosen: the commit time
of the newest change to that artifact's own shipped files, as
YYYY.MM.DD.HHMM UTC (rule 148). Four artifacts, four independent versions —
a push touching only agent/ re-versions the agent and leaves web and ml
alone, and CI skips the builds whose content did not move.
Because no registry name carries it, the running instance's own report is the
only answer to "which build is this?". The foot of Settings shows
FabledCurator 2026.08.29.0201 · dev, and /api/health returns the same two
fields.
Release tags are optional bookmarks — FC went twelve weeks without one and
nothing was wrong. Pushing v<version> publishes a Forgejo release listing the
commits since the previous tag; it builds no image.
What's in here
Five deployable pieces, built by .forgejo/workflows/build.yml:
| Piece | Built from | Image | Role |
|---|---|---|---|
| Web / workers | Dockerfile |
fabledcurator |
Quart API + the built Vue SPA in one image. entrypoint.sh picks the role: web, worker, scheduler. The maintenance-long service is a second worker pinned to the long-running maintenance queue. |
| ML worker | Dockerfile.ml |
fabledcurator-ml |
Same app, plus requirements-ml.txt — tagging and embedding models that run in-container. |
| GPU agent | agent/Dockerfile |
fabledcurator-agent |
Optional desktop-GPU worker (agent/). Leases jobs over HTTP only — never touches the database or Redis. Run it for a burst, stop it to reclaim the card. See agent/README.md. |
| Firefox extension | extension/ |
signed XPI | MV3 extension: pushes platform session cookies into FC and adds a creator as a Source in one click. AMO-signed on both dev and main (one signature per extension change, shared by the two channels), bundled into that channel's web image and served from Settings → Maintenance. See extension/README.md. |
| Data | — | pgvector/pgvector:pg16, redis:7-alpine |
Postgres with pgvector for embeddings; Redis as the Celery broker. |
Quick start
For local development and testing, just:
docker compose up -d
# UI: http://localhost:8080
That uses sane dev defaults baked into docker-compose.yml and the dev
override (docker-compose.override.yml, auto-merged) — local builds, DEBUG
logging, exposed Postgres + Redis ports on the host. No .env required.
For a production-like deployment, override the dev defaults via shell env
or a .env file (see .env.example for the variable names) and use:
docker compose -f docker-compose.yml up -d
# (skips the override so containers pull registry images)
The GPU agent is deployed separately, on the machine with the card —
agent/docker-compose.yml, not this stack.
Deployment posture
FabledCurator is designed to run inside a self-hosted homelab environment over plain HTTP. If you want TLS, terminate it at your reverse proxy. The app does not generate certificates, redirect to HTTPS, or set HSTS.
CI / Forgejo setup
Four workflows: ci.yml (lint, extension-version check, backend unit tests,
frontend build, integration), extension.yml (extension lint, vitest, XPI
content verification), build.yml (sign + publish), and release.yml, which
runs only on a v* tag and publishes a changelog without building anything.
The toolchain each job runs in is its container.image, not its runs-on
label. runs-on: python-ci only schedules the job onto a runner; every job
then names the image it actually wants. ci-requirements.md is the current,
authoritative list of images and per-job installs — read that rather than a
copy here, so the two can't drift.
The repo expects one secret:
-
RELEASE_TOKEN— a Forgejo PAT with:write:package+read:package— fordocker pushtogit.fabledsword.comwrite:release— for theext-<version>releases that cache the signed XPIwrite:issue— for issue-management automation
Generate at https://git.fabledsword.com/user/settings/applications. The injected
GITHUB_TOKENcannot be used because it lackswrite:package.
AMO signing additionally needs MOZILLA_AMO_JWT_KEY / MOZILLA_AMO_JWT_SECRET.
It runs on both channels and is cached per version: because the version is
derived from commit time, dev and main derive the same number for the same
source, so main finds dev's signature already cached and makes no second AMO
call. That cache is why signing must be one-shot — AMO rejects a re-signed
version.
License
Personal project; use at your own discretion.