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feat(ml): image_prediction table + backfill + dual-write (#768 step 1)
Normalize tagger predictions out of the image_record.tagger_predictions JSON
blob into a queryable per-prediction table. Step 1 of the cutover (expand):
additive + low-risk — reads still use the JSON, this just adds the table and
keeps it populated.

- ImagePrediction(image_record_id, raw_name, category, score) — stores the
  RAW tagger vocab name (not tag_id) so read-time alias→canonical resolution
  is unchanged. Indexed for per-image reads + by (raw_name, score).
- Migration 0045: create table + set-based backfill from the JSON via
  json_each (fast post-#764-prune). The old column stays (vestigial) and is
  dropped in a later follow-up — DROP needs an ACCESS EXCLUSIVE lock on the
  hot image_record table, so it waits for a quiesced-worker window.
- tag_and_embed dual-writes the rows (delete-then-insert, idempotent);
  tagger_store_floor already applied in infer().

Next: switch suggestion + allowlist reads to the table, then drop the JSON
write. Plan-task #768.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-10 15:55:32 -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
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