Ensure Docker images keep their container-built native dependencies, wait for the Laya sidecar healthcheck, expose accurate Laya readiness, and treat empty AI language batches as fallback failures.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Introduce a liveGroupingScoring engine that combines existing
membership signals (normalized name, brand, number, metadata tokens,
language, category/source when relevant) with a bounded Laya
contribution: Laya raises or lowers confidence instead of acting as
a final judge, with guard-rails against obvious contradictions.
Sanitize Laya batch identity inputs in layaService and wire the
weighted scoring into the live projection service. Weights are not
exposed in the Nodecast UI. Cover signal combination, bounds and
contradiction guard-rails with tests.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Track download progress in layaService (bytes/total, phase, error
state) and expose it through the laya status route. Render a progress
bar during model download in Settings via a layaStatusPresentation
service, and display download/status errors inline instead of failing
silently. Cover progress tracking and status presentation with tests.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a languageDetectionMode setting (algo | laya | laya+algo) exposed
in Settings with three engine choices. When Laya is enabled, a laya
service (Dockerfile.laya, optional compose profile, models stored
outside the repo under ./data/models/laya) can be started, with model
download and deletion from the UI via /laya routes to manage disk
space. Add a channelLanguageFusion service combining Laya results
with the existing algorithm, and wire detection mode through
grouping, channel list and player. Cover engine selection, fusion
and laya service behavior with tests.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
