upload_audio() could only sign a URL when GCP_CREDENTIALS_PATH pointed at a
service-account key file. The deployed VM runs on Application Default
Credentials with no key file, so every upload silently took the fallback
branch and returned a bare gs:// URI. That broke two things at once:
* Browsers cannot fetch a gs:// URI, so no recording was ever playable.
* _public_url_to_gcs_uri() only matched https://storage.googleapis.com/ and
returned None for it, so `if gcs_uri:` in the upload path was always false
and transcription never ran. Nothing was logged, which is why this looked
like an OpenAI credits problem rather than a storage one.
The fallback also interpolated the client-supplied filename instead of the
call_id-derived safe name, so the URI did not even name the object written.
Calls now store only the canonical gs:// location. A short-lived playback link
is minted per read as an HMAC over (call_id, expiry) keyed by SERVICE_KEY, and
audio is served from the private bucket by the new /media route. An <audio src>
cannot carry an Authorization header, so the link has to be the credential;
that router is therefore public with the check done inline, as enrollment.py
already does. Signing GCS URLs from the VM would have needed a
serviceAccountTokenCreator grant on its own service account — this avoids the
IAM change entirely and keeps the bucket private.
gcs_uri_for_call() reconstructs the object name from call_id, so recordings
made before this fix are reachable again without a data migration.
Frontend rows come straight from Firestore via onSnapshot and never see a
server-minted field, so CallRow fetches the link lazily on expand.
Also removes the last long-lived (1 year) signed URL and the log line that
printed it.
Trip-level tags: admins configure available tags in the trip header (inline add/remove pills). The AI can also create new tags via the add_tag tool.
Event tags: selectable in the Add Event modal, shown as colored pills on event cards in the timeline, and on AI suggestion cards.
AI integration: sees available tags in its system prompt, applies them when proposing events, can create new ones with add_tag.
Discord: tags shown as inline code blocks under each event in /trip view.
Colors: auto-assigned from an 8-color palette by tag index, consistent everywhere.
lib/types.ts — TripRecord and TripEvent types
lib/c2api.ts — getTrips, getTrip, createTrip, deleteTrip, createTripEvent, deleteTripEvent
lib/useTrips.ts — Firestore realtime hook on the trips collection, ordered by start date
app/trips/page.tsx — List page split into Upcoming / Past sections, card click navigates to detail, "+ New Trip" modal for admins with all fields including date range and maps link
app/trips/[id]/page.tsx — Detail page fetched via C2 API (gets trip + events in one call), day-by-day itinerary with time, location, maps link, notes, and Discord attendees. Add Event modal (date constrained to trip range). Admin-only delete trip + remove event.
components/Nav.tsx — Trips link added to the nav
app/map/page.tsx
Removed IncidentCard component and the incidents grid below the map — the on-map sidebar inside MapView is the single display
Moved kiosk exit button from top-3 left-3 (overlapping zoom controls) to bottom-[5.5rem] left-3
components/MapView.tsx
Fixed popup "View incident →" link — adds stopPropagation() + window.location.href to prevent Leaflet intercepting the click
Added "View details →" link on each sidebar incident card so you can navigate from the map panel without opening a popup
Added "News Alerts" overlay layer (placeholder, ready for RSS/feed integration)
lib/types.ts
Added preferred_token_id?: string | null to SystemRecord
lib/c2api.ts
Added setPreferredToken(tokenId, systemId) calling PUT /tokens/{tokenId}/prefer/{systemId} (backend already existed)
app/systems/page.tsx
Added PreferredTokenPanel component — loads the token pool lazily on expand, shows radio buttons to set/clear the preferred token, displayed on each system card above the AI flags panel
When the induction loop proposes a new vocabulary term, it now records
which sampled call(s) most likely produced the suggestion. Admins see
a collapsible "▶ source" player under each pending term showing the
audio clip and transcript, so they can hear what was actually said
before approving or dismissing.
- vocabulary_learner: track sampled call docs, attach source_call_ids
to each pending term via word-overlap search with fallback
- types: VocabularyPendingTerm.source_call_ids?: string[]
- c2api: add getCall(id) using existing GET /calls/{call_id} endpoint
- VocabularyPanel: SourceCallPlayer component — lazy-loads call on
first expand, shows audio controls + transcript snippet
incident_correlator.py — full rewrite: always runs on every call, fetches all active incidents cross-type, fast path collects all talkgroup matches and disambiguates by unit/vehicle overlap → location proximity → embedding, new location proximity path, slow path requires location corroboration, "Auto:" stripped from titles, "auto-generated" tag added, units/vehicles now accumulated on update
intelligence.py — resolved field in GPT schema, returned as 5th value
upload.py — both pipelines unpack 5-tuple, always call correlate, auto-resolve on resolved=True
summarizer.py — stale sweep runs each tick, resolves incidents idle for 90+ minutes
config.py — correlation_window_hours=2, embedding_similarity_threshold=0.93, location_proximity_km=0.5, incident_auto_resolve_minutes=90
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