The one-time backfill that actually shrinks the DB: drops stored tagger_predictions entries below ml_settings.tagger_store_floor from every image_record row, and clamps any allowlist min_confidence below the floor up to it. Keep predicate (confidence >= floor) mirrors Tagger.infer's store gate so backfilled rows match new imports. Keyset by id ASC, idempotent, self-resumes on the soft time limit; runs on the maintenance_long lane. pg_dump copies live data only, so this alone fixes the #739 backup timeout — the reclaim (VACUUM FULL / pg_repack on image_record) is a separate, optional disk-return step, brief because post-prune the live data is tiny. - admin.prune_low_confidence_predictions_task + POST /api/admin/maintenance/prune-predictions - PrunePredictionsCard in the Maintenance panel (shows the current floor) - tests: registration + prune-keeps->=floor/drops-<floor + allowlist clamp Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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. Bothci.ymlandbuild.ymluse this label. The runner image (runner-base:python-ci) is built fromCI-Runner/CI-python/in the operator's workspace;make pushfrom 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— fordocker pushtogit.fabledsword.comwrite:release— for future release-cutting workflowswrite:issue— for future issue-management automation
Generate at https://git.fabledsword.com/user/settings/applications. The injected
GITHUB_TOKENcannot be used because it lackswrite:package.
License
Personal project; use at your own discretion.