* feat(server): Enqueue jobs in bulk
The Job Repository now has a `queueAll` method, that enqueues messages
in bulk (using BullMQ's
[`addBulk`](https://docs.bullmq.io/guide/queues/adding-bulks)),
improving performance when many jobs must be enqueued within the same
operation.
Primary change is in `src/domain/job/job.service.ts`, and other services
have been refactored to use `queueAll` when useful.
As a simple local benchmark, triggering a full thumbnail generation
process over a library of ~1,200 assets and ~350 faces went from
**~600ms** to **~250ms**.
* fix: Review feedback
* consolidated endpoints, added live configuration
* added ml settings to server
* added settings dashboard
* updated deps, fixed typos
* simplified modelconfig
updated tests
* Added ml setting accordion for admin page
updated tests
* merge `clipText` and `clipVision`
* added face distance setting
clarified setting
* add clip mode in request, dropdown for face models
* polished ml settings
updated descriptions
* update clip field on error
* removed unused import
* add description for image classification threshold
* pin safetensors for arm wheel
updated poetry lock
* moved dto
* set model type only in ml repository
* revert form-data package install
use fetch instead of axios
* added slotted description with link
updated facial recognition description
clarified effect of disabling tasks
* validation before model load
* removed unnecessary getconfig call
* added migration
* updated api
updated api
updated api
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Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
Mert