bvandeusen 609bc82acc
Build images / sign-extension (push) Successful in 4s
CI / extension-version (push) Successful in 4s
CI / lint (push) Successful in 4s
Build images / build-ml (push) Successful in 7s
Build images / build-agent (push) Successful in 7s
Build images / build-web (push) Successful in 7s
CI / frontend-build (push) Successful in 17s
extension / lint (push) Successful in 20s
CI / backend-lint-and-test (push) Successful in 29s
CI / integration (push) Successful in 3m43s
ci: reuse the published image instead of rebuilding it (milestone 313 step 4)
Before building, each job asks the registry whether this artifact's content
is already published. On a hit it skips the build entirely and repoints the
channel and date tags at the existing manifest with `imagetools create` —
registry-side, no layer transfer, seconds. This is the step that stops a
push touching only `agent/` from rebuilding web and ml, and stops a merge to
main rebuilding what dev already built.

The question is asked with a new `artifacts.sh identity`, not with the date
tag: the date tag is day-precise and last-one-wins, so two different builds
share it and it cannot answer "is this content published?". The commit sha
would move on every push and never hit, which is the redundant rebuild being
removed. The revision does both jobs — content-unique, and stable across
pushes that did not touch the artifact.

Identity is channel-qualified for web and only for web, because web is the
only image that takes a build-arg: FC_CHANNEL is baked in and reported by
/api/extension/manifest, so its dev and main builds of one revision are
genuinely different images. ml and agent take none, which is what lets a
merge reuse dev's build rather than rebuilding the agent's CUDA image to
produce bytes that already exist. tests/test_artifact_identity.py reads the
Dockerfiles and fails if that list drifts from the ARG declarations, in
either direction — collapsing the channels ships an instance that reports
the wrong one, and splitting them needlessly rebuilds every merge.

Failure direction is deliberate: an inspect that errors for any reason reads
as a miss and the build runs. Only a real 200 skips one.

A tag-push never claims the identity. It rebuilds a revision main already
published, and image configs are not bit-reproducible, so re-pushing
r-<rev> would point an immutable tag at fresh bytes — rule 145's exact
prohibition. It publishes only its own :v... label and otherwise reuses.

Base-image freshness, decided rather than left implicit: an artifact whose
source stops moving stops picking up base updates under its pinned tag. That
is what a pin means, and rule 145 already says the refresh belongs on the
moving tag instead. Filed as #3154 rather than folded in here, because the
naive version regresses :latest on the next unrelated push.

ci.yml's backend lane gains fetch-depth: 0 — the new tests derive real
revisions, and on a depth-1 clone that derivation returns the tip sha or
fails, so the lane would go green while asserting nothing.

The three build jobs' shadow steps are renamed and re-commented: those
values stopped being informational at step 3, and a step captioned "nothing
reads this" beside steps that do is worse than no caption.
2026-08-28 08:24:58 -04:00

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.

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

Three workflows: ci.yml (lint, extension-version check, backend unit tests, frontend build, integration), extension.yml (extension lint, vitest, XPI content verification), and build.yml (sign + publish).

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 — for docker push to git.fabledsword.com
    • write:release — for the ext-<version> releases that cache the signed XPI
    • write:issue — for issue-management automation

    Generate at https://git.fabledsword.com/user/settings/applications. The injected GITHUB_TOKEN cannot be used because it lacks write:package.

AMO signing additionally needs MOZILLA_AMO_JWT_KEY / MOZILLA_AMO_JWT_SECRET; it runs on main only and is cached per version, since AMO rejects a re-signed version.

License

Personal project; use at your own discretion.

S
Description
Self-hosted media curation — gallery, ML tagging, and subscription-driven downloads. Part of the FabledSword family. (Merge of ImageRepo + GallerySubscriber.)
Readme AGPL-3.0
8.6 MiB
2026-08-29 13:46:09 -04:00
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