bvandeusen
e77afe8295
Layer 1 of the import-task resilience work (operator-requested
2026-05-28). The recover_interrupted_tasks sweep re-queues rows stuck
in 'processing' — correct for a worker crash, but without a cap a row
that RELIABLY hard-crashes the worker (OOM/segfault/SIGKILL on a
corrupt or oversized input) loops forever: re-queue → crash → re-queue,
burning a worker slot every 5 min. A caught exception flips to terminal
'failed' and never enters this loop; only process-killing inputs do.
- alembic 0026: import_task.recovery_count (int, default 0) +
import_task.refetched (bool, default false — backs Layer 2).
- recover_interrupted_tasks now runs a poison-pill UPDATE FIRST: stuck
rows whose recovery_count has already reached MAX_RECOVERY_ATTEMPTS-1
are marked 'failed' with a diagnostic ("crashed or stalled the worker
N times … likely a corrupt or oversized input … inspect/replace the
file, then retry via /api/import/retry-failed") instead of re-queued.
The re-queue pass then handles the remaining stuck rows and bumps
recovery_count. Shared stuck_predicate (and_/or_) keeps the
media-5min / archive-40min split.
- MAX_RECOVERY_ATTEMPTS=3 (two recoveries then give up).
The failed poison pill surfaces in the existing import-failures view
with its file path, directly answering "help me identify them."
Test test_recover_interrupted_poison_pill_caps_at_max pins both
branches: a row at the cap is failed (not re-enqueued, diagnostic
present), a row one short is re-queued + incremented.
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.