When a lesson has two or more uploaded videos each calls mintHlsCookie,
but all wrote to the same `cio_hls` cookie name. The last write won,
leaving every other video with a mismatched token and a 403 from the
CF Worker.
Cookie name is now `cio_hls_${assetId}` so each video owns its own
cookie. The tenant-router Worker, the Hono HLS fallback route, and the
transcripts route all read the per-asset name.
Drop `position` from the `asset_usages` unique constraint so the same
asset can't be attached to one target/slot more than once, and update
the insert's onConflict target + lookup to match the narrower key.
Guard it at the service layer too: attachAssetService now rejects an
attach when the asset already has a usage for that target with a new
ASSET_ALREADY_ATTACHED (409) error, backed by an
assetUsageExistsForTarget query.
Add an admin flow to permanently delete a media asset and clean up
everything it leaves behind.
- Delete dialog with a destructive, irreversible confirmation; deletion
is blocked while the video is still attached and shows the in-use
lessons so the admin can detach first.
- Usage list resolves lesson/course context for each attachment, links
to the lesson editor via an anchor (right-click "open in new tab"),
and exposes a refresh button to re-check usage after detaching
elsewhere.
- Storage cleanup runs as a background maintenance job: the producer
captures the asset's object keys/prefixes up front and an idempotent
worker sweeps HLS segments, thumbnails, audio, transcript, and the
raw upload from object storage.
Also harden usage accounting so stale attachments cannot trap an asset:
- asset_usages has no FK to its polymorphic target, so prune a lesson's
usage rows whenever the lesson is hard-deleted (single + bulk paths).
- Usage resolution drops orphaned lesson usages (lesson gone or course
soft-deleted) so they neither appear in the list nor block deletion.
Document the icon-only button convention (variant="secondary") in
AGENTS.md.
- Implemented a new endpoint to delete failed manual p1080 renditions, restoring the master manifest and updating metadata.
- Enhanced the HLS upload process with better error handling and cleanup for aborted uploads.
- Introduced tests for HLS encoder functionality to ensure correct selection of rungs based on video source properties.
- Updated video upload component to manage reserved asset IDs and perform cleanup on abo
New features:
- HLS video encoding/streaming (hls routes, hls-encoder) and a media
transcripts pipeline (transcripts route + media-transcript queries)
- AI assistant chat vs. run model: agent-course-generation worker/queue,
run-monitor pane, chat-changes card, content ask-ai bar
- Per-theme course-page previews across org landing-page themes (bold,
classic, corporate, editorial, etc.) with a shared course token/component set
- View-as-student mode and login-link / link-invite invite flows
Refactor:
- Extract packages/core consolidating config (env, storage, dashboard-url),
services and utils previously duplicated under apps/api/src/config
- Remove legacy agent service modules (chat-tools, chat-context,
context-window, document, fetch-url, lesson-content)
- Relax Cross-Origin-Resource-Policy to allow cross-origin media embedding
- Add format script to tenant-router so turbo run format covers it
Rotimi Best