bvandeusen
ec66ea5f83
Tier-3 frontend DRY for the ML settings cards, plus the F-D2 clamp bug and the F-D3 card misgrouping. New primitives (components/common + composables): - <SettingToggleRow> — the accent-icon + .fc-section-h label + right-aligned switch row (HeadsCard x3, CropProposersCard). iconColor prop absorbs the on/off dim. - <SettingNumberField> — compact numeric field that CLAMPS to [min,max] on commit. This fixes F-D2: HeadsCard/CropProposersCard previously sent Number(raw) straight to the API, so an out-of-range threshold bounced off the 400 validator (only TranslationCard clamped). density prop for the grid cards. - useSettingSave(patchFn) — the busy + patch + toast + revert-on-failure flow each card hand-rolled (HeadsCard x6 handlers, CropProposersCard, MLBackfillCard, VideoEmbeddingCard). Returns ok/false for the optimistic-switch revert. Adopted in HeadsCard, CropProposersCard, MLBackfillCard (handler only — its plain labelled switch is a different affordance), VideoEmbeddingCard. F-D3: MLThresholdSliders.vue actually rendered a "Video embedding" (frame- sampling) card but sat under "Tagging → Suggestion thresholds". Renamed it VideoEmbeddingCard.vue and moved it to the "GPU agent & embeddings" section. Left deliberately (over-DRY guard): TranslationCard uses an inline error ALERT (not a toast), already clamps its confidence with a NaN fallback, and lives on the ImportStore — a genuinely different save pattern, so forcing it onto useSettingSave would change its UX. Behaviour-preserving refactor; CI has no Vue type-check so this needs a live UI pass (toggles persist + revert on failure, thresholds clamp on blur, video card now under Embeddings). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01NsmJSQxnNxGgtM5Yz4GAqi
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.