bvandeusen b65e956ad2
CI / lint (push) Failing after 2s
CI / backend-lint-and-test (push) Successful in 14s
CI / frontend-build (push) Successful in 22s
CI / intimp (push) Successful in 3m39s
CI / intapi (push) Failing after 7m41s
CI / intcore (push) Successful in 8m42s
feat(artist): "new since last visit" badge + banner
Per-artist "+N" accent pill on the artists directory and a "N new since
last visit" banner inside ArtistView. Counts new IMAGES (not posts) so
multi-image posts increment correctly.

- alembic 0034: artist_visit (artist_id PK, last_viewed_at NOT NULL).
  Seeds every existing artist with last_viewed_at=NOW() so the badge
  starts at 0 across the board — no noisy "5000 unseen images" on
  first deploy.
- ArtistService.find_or_create autoseeds a visit row alongside new
  artists, so freshly imported content doesn't read as unseen.
- ArtistService.overview reads pre-visit last_viewed_at, counts images
  created since, then atomically UPSERTs last_viewed_at=NOW() via
  postgres ON CONFLICT DO UPDATE (no SELECT-then-INSERT race per
  reference_scalar_one_or_none_duplicates). Returns the pre-update
  count as `unseen_count_at_visit` so the banner has data.
- ArtistDirectoryService.list_artists adds an `unseen_count` aggregate
  to each card via LEFT JOIN artist_visit + conditional COUNT. NULL
  last_viewed_at (artist created before this code shipped) defensively
  counts as "never visited" → all images unseen.
- Frontend: ArtistCard renders an accent pill in the preview-strip
  corner when unseen_count > 0 (capped at 99+); ArtistView shows a
  closable v-alert banner on initial load when
  unseen_count_at_visit > 0, re-arms on slug change.

Single-row-per-artist (no user_id) — rule #47 multi-user ACL is
aspirational; widens to (user_id, artist_id) PK when User lands, per
rule #22.

Scribe plan #597.
2026-06-03 15:27:11 -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

Pre-v1. Not yet functional.

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)

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

The repo's workflows expect:

  • Runner label python-ci — a Forgejo runner with Python 3.14, ruff, and Node 22 pre-installed. Both ci.yml and build.yml use this label. The runner image (runner-base:python-ci) is built from CI-Runner/CI-python/ in the operator's workspace; make push from that directory builds and pushes a new image when toolchain pins change.

  • Repo secret RELEASE_TOKEN — a Forgejo PAT with the following scopes:

    • write:package + read:package — for docker push to git.fabledsword.com
    • write:release — for future release-cutting workflows
    • write:issue — for future issue-management automation

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

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 16 MiB
v26.06.04.0 Latest
2026-06-04 23:21:01 -04:00
Languages
Python 74.4%
Vue 17.9%
JavaScript 7.2%
CSS 0.2%
HTML 0.1%