fix: convert DB models to view models in bulk-status endpoint

model_validate(from_attributes=True) needed to convert DB Meeting and
CalendarEvent to their view-layer Pydantic counterparts.

.github/workflows/test_next_server.yml

@@ -13,6 +13,9 @@ on:
 jobs:
   test-next-server:
     runs-on: ubuntu-latest
+    concurrency:
+      group: test-next-server-${{ github.ref }}
+      cancel-in-progress: true
 
     defaults:
       run:
@@ -21,17 +24,12 @@ jobs:
     steps:
     - uses: actions/checkout@v4
 
-    - name: Setup Node.js
-      uses: actions/setup-node@v4
-      with:
-        node-version: '20'
-
     - name: Install pnpm
       uses: pnpm/action-setup@v4
       with:
-        version: 8
+        package_json_file: './www/package.json'
 
-    - name: Setup Node.js cache
+    - name: Setup Node.js
       uses: actions/setup-node@v4
       with:
         node-version: '20'

.gitleaksignore

@@ -4,3 +4,4 @@ docs/docs/installation/daily-setup.md:curl-auth-header:277
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:74
 gpu/self_hosted/DEV_SETUP.md:curl-auth-header:83
 server/reflector/worker/process.py:generic-api-key:465
+server/reflector/worker/process.py:generic-api-key:594

gpu/self_hosted/Dockerfile

@@ -4,27 +4,31 @@ ENV PYTHONUNBUFFERED=1 \
     UV_LINK_MODE=copy \
     UV_NO_CACHE=1
 
+# patch until nvidia updates the sha1 repo
+ADD sequoia.config /etc/crypto-policies/back-ends/sequoia.config
+
 WORKDIR /tmp
-RUN apt-get update \
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+ --mount=type=cache,target=/var/lib/apt,sharing=locked \
+ apt-get update \
  && apt-get install -y \
     ffmpeg \
     curl \
     ca-certificates \
     gnupg \
-    wget \
- && apt-get clean
+    wget
 # Add NVIDIA CUDA repo for Debian 12 (bookworm) and install cuDNN 9 for CUDA 12
 ADD https://developer.download.nvidia.com/compute/cuda/repos/debian12/x86_64/cuda-keyring_1.1-1_all.deb /cuda-keyring.deb
-RUN dpkg -i /cuda-keyring.deb \
+RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
+ --mount=type=cache,target=/var/lib/apt,sharing=locked \
+ dpkg -i /cuda-keyring.deb \
  && rm /cuda-keyring.deb \
  && apt-get update \
  && apt-get install -y --no-install-recommends \
     cuda-cudart-12-6 \
     libcublas-12-6 \
     libcudnn9-cuda-12 \
-    libcudnn9-dev-cuda-12 \
- && apt-get clean \
- && rm -rf /var/lib/apt/lists/*
+    libcudnn9-dev-cuda-12
 ADD https://astral.sh/uv/install.sh /uv-installer.sh
 RUN sh /uv-installer.sh && rm /uv-installer.sh
 ENV PATH="/root/.local/bin/:$PATH"
@@ -39,6 +43,13 @@ COPY ./app /app/app
 COPY ./main.py /app/
 COPY ./runserver.sh /app/
 
+# prevent uv failing with too many open files on big cpus
+ENV UV_CONCURRENT_INSTALLS=16
+
+# first install
+RUN --mount=type=cache,target=/root/.cache/uv \
+    uv sync --compile-bytecode --locked
+
 EXPOSE 8000
 
 CMD ["sh", "/app/runserver.sh"]

gpu/self_hosted/sequoia.config

@@ -0,0 +1,2 @@
+[hash_algorithms]
+sha1 = "always"

server/migrations/versions/3aa20b96d963_drop_use_celery_column.py

@@ -0,0 +1,35 @@
+"""drop_use_celery_column
+
+Revision ID: 3aa20b96d963
+Revises: e69f08ead8ea
+Create Date: 2026-02-05 10:12:44.065279
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "3aa20b96d963"
+down_revision: Union[str, None] = "e69f08ead8ea"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.drop_column("use_celery")
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "use_celery",
+                sa.Boolean(),
+                server_default=sa.text("false"),
+                nullable=False,
+            )
+        )

server/reflector/db/calendar_events.py

@@ -104,6 +104,26 @@ class CalendarEventController:
         results = await get_database().fetch_all(query)
         return [CalendarEvent(**result) for result in results]
 
+    async def get_upcoming_for_rooms(
+        self, room_ids: list[str], minutes_ahead: int = 120
+    ) -> list[CalendarEvent]:
+        now = datetime.now(timezone.utc)
+        future_time = now + timedelta(minutes=minutes_ahead)
+        query = (
+            calendar_events.select()
+            .where(
+                sa.and_(
+                    calendar_events.c.room_id.in_(room_ids),
+                    calendar_events.c.is_deleted == False,
+                    calendar_events.c.start_time <= future_time,
+                    calendar_events.c.end_time >= now,
+                )
+            )
+            .order_by(calendar_events.c.start_time.asc())
+        )
+        results = await get_database().fetch_all(query)
+        return [CalendarEvent(**result) for result in results]
+
     async def get_by_id(self, event_id: str) -> CalendarEvent | None:
         query = calendar_events.select().where(calendar_events.c.id == event_id)
         result = await get_database().fetch_one(query)

server/reflector/db/meetings.py

@@ -301,6 +301,23 @@ class MeetingController:
         results = await get_database().fetch_all(query)
         return [Meeting(**result) for result in results]
 
+    async def get_all_active_for_rooms(
+        self, room_ids: list[str], current_time: datetime
+    ) -> list[Meeting]:
+        query = (
+            meetings.select()
+            .where(
+                sa.and_(
+                    meetings.c.room_id.in_(room_ids),
+                    meetings.c.end_date > current_time,
+                    meetings.c.is_active,
+                )
+            )
+            .order_by(meetings.c.end_date.desc())
+        )
+        results = await get_database().fetch_all(query)
+        return [Meeting(**result) for result in results]
+
     async def get_active_by_calendar_event(
         self, room: Room, calendar_event_id: str, current_time: datetime
     ) -> Meeting | None:

server/reflector/db/rooms.py

@@ -57,12 +57,6 @@ rooms = sqlalchemy.Table(
         sqlalchemy.String,
         nullable=False,
     ),
-    sqlalchemy.Column(
-        "use_celery",
-        sqlalchemy.Boolean,
-        nullable=False,
-        server_default=false(),
-    ),
     sqlalchemy.Column(
         "skip_consent",
         sqlalchemy.Boolean,
@@ -97,7 +91,6 @@ class Room(BaseModel):
     ics_last_sync: datetime | None = None
     ics_last_etag: str | None = None
     platform: Platform = Field(default_factory=lambda: settings.DEFAULT_VIDEO_PLATFORM)
-    use_celery: bool = False
     skip_consent: bool = False
 
 
@@ -245,6 +238,11 @@ class RoomController:
 
         return room
 
+    async def get_by_names(self, names: list[str]) -> list[Room]:
+        query = rooms.select().where(rooms.c.name.in_(names))
+        results = await get_database().fetch_all(query)
+        return [Room(**r) for r in results]
+
     async def get_ics_enabled(self) -> list[Room]:
         query = rooms.select().where(
             rooms.c.ics_enabled == True, rooms.c.ics_url != None

server/reflector/services/transcript_process.py

@@ -15,14 +15,10 @@ from hatchet_sdk.clients.rest.exceptions import ApiException, NotFoundException
 from hatchet_sdk.clients.rest.models import V1TaskStatus
 
 from reflector.db.recordings import recordings_controller
-from reflector.db.rooms import rooms_controller
 from reflector.db.transcripts import Transcript, transcripts_controller
 from reflector.hatchet.client import HatchetClientManager
 from reflector.logger import logger
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
-from reflector.pipelines.main_multitrack_pipeline import (
-    task_pipeline_multitrack_process,
-)
 from reflector.utils.string import NonEmptyString
 
 
@@ -181,124 +177,98 @@ async def dispatch_transcript_processing(
     Returns AsyncResult for Celery tasks, None for Hatchet workflows.
     """
     if isinstance(config, MultitrackProcessingConfig):
-        use_celery = False
-        if config.room_id:
-            room = await rooms_controller.get_by_id(config.room_id)
-            use_celery = room.use_celery if room else False
-
-        use_hatchet = not use_celery
-
-        if use_celery:
-            logger.info(
-                "Room uses legacy Celery processing",
-                room_id=config.room_id,
-                transcript_id=config.transcript_id,
+        # Multitrack processing always uses Hatchet (no Celery fallback)
+        # First check if we can replay (outside transaction since it's read-only)
+        transcript = await transcripts_controller.get_by_id(config.transcript_id)
+        if transcript and transcript.workflow_run_id and not force:
+            can_replay = await HatchetClientManager.can_replay(
+                transcript.workflow_run_id
             )
-
-        if use_hatchet:
-            # First check if we can replay (outside transaction since it's read-only)
-            transcript = await transcripts_controller.get_by_id(config.transcript_id)
-            if transcript and transcript.workflow_run_id and not force:
-                can_replay = await HatchetClientManager.can_replay(
-                    transcript.workflow_run_id
+            if can_replay:
+                await HatchetClientManager.replay_workflow(transcript.workflow_run_id)
+                logger.info(
+                    "Replaying Hatchet workflow",
+                    workflow_id=transcript.workflow_run_id,
                 )
-                if can_replay:
-                    await HatchetClientManager.replay_workflow(
-                        transcript.workflow_run_id
-                    )
-                    logger.info(
-                        "Replaying Hatchet workflow",
-                        workflow_id=transcript.workflow_run_id,
-                    )
-                    return None
-                else:
-                    # Workflow can't replay (CANCELLED, COMPLETED, or 404 deleted)
-                    # Log and proceed to start new workflow
-                    try:
-                        status = await HatchetClientManager.get_workflow_run_status(
-                            transcript.workflow_run_id
-                        )
-                        logger.info(
-                            "Old workflow not replayable, starting new",
-                            old_workflow_id=transcript.workflow_run_id,
-                            old_status=status.value,
-                        )
-                    except NotFoundException:
-                        # Workflow deleted from Hatchet but ID still in DB
-                        logger.info(
-                            "Old workflow not found in Hatchet, starting new",
-                            old_workflow_id=transcript.workflow_run_id,
-                        )
-
-            # Force: cancel old workflow if exists
-            if force and transcript and transcript.workflow_run_id:
-                try:
-                    await HatchetClientManager.cancel_workflow(
-                        transcript.workflow_run_id
-                    )
-                    logger.info(
-                        "Cancelled old workflow (--force)",
-                        workflow_id=transcript.workflow_run_id,
-                    )
-                except NotFoundException:
-                    logger.info(
-                        "Old workflow already deleted (--force)",
-                        workflow_id=transcript.workflow_run_id,
-                    )
-                await transcripts_controller.update(
-                    transcript, {"workflow_run_id": None}
-                )
-
-            # Re-fetch and check for concurrent dispatch (optimistic approach).
-            # No database lock - worst case is duplicate dispatch, but Hatchet
-            # workflows are idempotent so this is acceptable.
-            transcript = await transcripts_controller.get_by_id(config.transcript_id)
-            if transcript and transcript.workflow_run_id:
-                # Another process started a workflow between validation and now
+                return None
+            else:
+                # Workflow can't replay (CANCELLED, COMPLETED, or 404 deleted)
+                # Log and proceed to start new workflow
                 try:
                     status = await HatchetClientManager.get_workflow_run_status(
                         transcript.workflow_run_id
                     )
-                    if status in (V1TaskStatus.RUNNING, V1TaskStatus.QUEUED):
-                        logger.info(
-                            "Concurrent workflow detected, skipping dispatch",
-                            workflow_id=transcript.workflow_run_id,
-                        )
-                        return None
-                except ApiException:
-                    # Workflow might be gone (404) or API issue - proceed with new workflow
-                    pass
+                    logger.info(
+                        "Old workflow not replayable, starting new",
+                        old_workflow_id=transcript.workflow_run_id,
+                        old_status=status.value,
+                    )
+                except NotFoundException:
+                    # Workflow deleted from Hatchet but ID still in DB
+                    logger.info(
+                        "Old workflow not found in Hatchet, starting new",
+                        old_workflow_id=transcript.workflow_run_id,
+                    )
 
-            workflow_id = await HatchetClientManager.start_workflow(
-                workflow_name="DiarizationPipeline",
-                input_data={
-                    "recording_id": config.recording_id,
-                    "tracks": [{"s3_key": k} for k in config.track_keys],
-                    "bucket_name": config.bucket_name,
-                    "transcript_id": config.transcript_id,
-                    "room_id": config.room_id,
-                },
-                additional_metadata={
-                    "transcript_id": config.transcript_id,
-                    "recording_id": config.recording_id,
-                    "daily_recording_id": config.recording_id,
-                },
+        # Force: cancel old workflow if exists
+        if force and transcript and transcript.workflow_run_id:
+            try:
+                await HatchetClientManager.cancel_workflow(transcript.workflow_run_id)
+                logger.info(
+                    "Cancelled old workflow (--force)",
+                    workflow_id=transcript.workflow_run_id,
+                )
+            except NotFoundException:
+                logger.info(
+                    "Old workflow already deleted (--force)",
+                    workflow_id=transcript.workflow_run_id,
+                )
+            await transcripts_controller.update(transcript, {"workflow_run_id": None})
+
+        # Re-fetch and check for concurrent dispatch (optimistic approach).
+        # No database lock - worst case is duplicate dispatch, but Hatchet
+        # workflows are idempotent so this is acceptable.
+        transcript = await transcripts_controller.get_by_id(config.transcript_id)
+        if transcript and transcript.workflow_run_id:
+            # Another process started a workflow between validation and now
+            try:
+                status = await HatchetClientManager.get_workflow_run_status(
+                    transcript.workflow_run_id
+                )
+                if status in (V1TaskStatus.RUNNING, V1TaskStatus.QUEUED):
+                    logger.info(
+                        "Concurrent workflow detected, skipping dispatch",
+                        workflow_id=transcript.workflow_run_id,
+                    )
+                    return None
+            except ApiException:
+                # Workflow might be gone (404) or API issue - proceed with new workflow
+                pass
+
+        workflow_id = await HatchetClientManager.start_workflow(
+            workflow_name="DiarizationPipeline",
+            input_data={
+                "recording_id": config.recording_id,
+                "tracks": [{"s3_key": k} for k in config.track_keys],
+                "bucket_name": config.bucket_name,
+                "transcript_id": config.transcript_id,
+                "room_id": config.room_id,
+            },
+            additional_metadata={
+                "transcript_id": config.transcript_id,
+                "recording_id": config.recording_id,
+                "daily_recording_id": config.recording_id,
+            },
+        )
+
+        if transcript:
+            await transcripts_controller.update(
+                transcript, {"workflow_run_id": workflow_id}
             )
 
-            if transcript:
-                await transcripts_controller.update(
-                    transcript, {"workflow_run_id": workflow_id}
-                )
+        logger.info("Hatchet workflow dispatched", workflow_id=workflow_id)
+        return None
 
-            logger.info("Hatchet workflow dispatched", workflow_id=workflow_id)
-            return None
-
-        # Celery pipeline (durable workflows disabled)
-        return task_pipeline_multitrack_process.delay(
-            transcript_id=config.transcript_id,
-            bucket_name=config.bucket_name,
-            track_keys=config.track_keys,
-        )
     elif isinstance(config, FileProcessingConfig):
         return task_pipeline_file_process.delay(transcript_id=config.transcript_id)
     else:

server/reflector/settings.py

@@ -1,7 +1,7 @@
 from pydantic.types import PositiveInt
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
-from reflector.schemas.platform import WHEREBY_PLATFORM, Platform
+from reflector.schemas.platform import DAILY_PLATFORM, Platform
 from reflector.utils.string import NonEmptyString
 
 
@@ -155,7 +155,7 @@ class Settings(BaseSettings):
         None  # Webhook UUID for this environment. Not used by production code
     )
     # Platform Configuration
-    DEFAULT_VIDEO_PLATFORM: Platform = WHEREBY_PLATFORM
+    DEFAULT_VIDEO_PLATFORM: Platform = DAILY_PLATFORM
 
     # Zulip integration
     ZULIP_REALM: str | None = None

server/reflector/views/rooms.py

@@ -1,4 +1,6 @@
+import asyncio
 import logging
+from collections import defaultdict
 from datetime import datetime, timedelta, timezone
 from enum import Enum
 from typing import Annotated, Any, Literal, Optional
@@ -6,13 +8,14 @@ from typing import Annotated, Any, Literal, Optional
 from fastapi import APIRouter, Depends, HTTPException
 from fastapi_pagination import Page
 from fastapi_pagination.ext.databases import apaginate
-from pydantic import BaseModel
+from pydantic import BaseModel, Field
 from redis.exceptions import LockError
 
 import reflector.auth as auth
 from reflector.db import get_database
 from reflector.db.calendar_events import calendar_events_controller
 from reflector.db.meetings import meetings_controller
+from reflector.db.rooms import Room as DbRoom
 from reflector.db.rooms import rooms_controller
 from reflector.redis_cache import RedisAsyncLock
 from reflector.schemas.platform import Platform
@@ -195,6 +198,73 @@ async def rooms_list(
     return paginated
 
 
+class BulkStatusRequest(BaseModel):
+    room_names: list[str] = Field(max_length=100)
+
+
+class RoomMeetingStatus(BaseModel):
+    active_meetings: list[Meeting]
+    upcoming_events: list[CalendarEventResponse]
+
+
+@router.post("/rooms/meetings/bulk-status", response_model=dict[str, RoomMeetingStatus])
+async def rooms_bulk_meeting_status(
+    request: BulkStatusRequest,
+    user: Annotated[Optional[auth.UserInfo], Depends(auth.current_user_optional)],
+):
+    user_id = user["sub"] if user else None
+
+    all_rooms = await rooms_controller.get_by_names(request.room_names)
+    # Filter to rooms the user can see (owned or shared), matching rooms_list behavior
+    rooms = [
+        r
+        for r in all_rooms
+        if r.is_shared or (user_id is not None and r.user_id == user_id)
+    ]
+    room_by_id: dict[str, DbRoom] = {r.id: r for r in rooms}
+    room_ids = list(room_by_id.keys())
+
+    current_time = datetime.now(timezone.utc)
+    active_meetings, upcoming_events = await asyncio.gather(
+        meetings_controller.get_all_active_for_rooms(room_ids, current_time),
+        calendar_events_controller.get_upcoming_for_rooms(room_ids),
+    )
+
+    # Group by room name
+    active_by_room: dict[str, list[Meeting]] = defaultdict(list)
+    for m in active_meetings:
+        room = room_by_id.get(m.room_id)
+        if not room:
+            continue
+        m.platform = room.platform
+        if user_id != room.user_id and m.platform == "whereby":
+            m.host_room_url = ""
+        active_by_room[room.name].append(
+            Meeting.model_validate(m, from_attributes=True)
+        )
+
+    upcoming_by_room: dict[str, list[CalendarEventResponse]] = defaultdict(list)
+    for e in upcoming_events:
+        room = room_by_id.get(e.room_id)
+        if not room:
+            continue
+        if user_id != room.user_id:
+            e.description = None
+            e.attendees = None
+        upcoming_by_room[room.name].append(
+            CalendarEventResponse.model_validate(e, from_attributes=True)
+        )
+
+    result: dict[str, RoomMeetingStatus] = {}
+    for name in request.room_names:
+        result[name] = RoomMeetingStatus(
+            active_meetings=active_by_room.get(name, []),
+            upcoming_events=upcoming_by_room.get(name, []),
+        )
+
+    return result
+
+
 @router.get("/rooms/{room_id}", response_model=RoomDetails)
 async def rooms_get(
     room_id: str,

server/reflector/worker/process.py

@@ -27,9 +27,6 @@ from reflector.db.transcripts import (
 from reflector.hatchet.client import HatchetClientManager
 from reflector.pipelines.main_file_pipeline import task_pipeline_file_process
 from reflector.pipelines.main_live_pipeline import asynctask
-from reflector.pipelines.main_multitrack_pipeline import (
-    task_pipeline_multitrack_process,
-)
 from reflector.pipelines.topic_processing import EmptyPipeline
 from reflector.processors import AudioFileWriterProcessor
 from reflector.processors.audio_waveform_processor import AudioWaveformProcessor
@@ -351,49 +348,29 @@ async def _process_multitrack_recording_inner(
             room_id=room.id,
         )
 
-    use_celery = room and room.use_celery
-    use_hatchet = not use_celery
-
-    if use_celery:
-        logger.info(
-            "Room uses legacy Celery processing",
-            room_id=room.id,
-            transcript_id=transcript.id,
-        )
-
-    if use_hatchet:
-        workflow_id = await HatchetClientManager.start_workflow(
-            workflow_name="DiarizationPipeline",
-            input_data={
-                "recording_id": recording_id,
-                "tracks": [{"s3_key": k} for k in filter_cam_audio_tracks(track_keys)],
-                "bucket_name": bucket_name,
-                "transcript_id": transcript.id,
-                "room_id": room.id,
-            },
-            additional_metadata={
-                "transcript_id": transcript.id,
-                "recording_id": recording_id,
-                "daily_recording_id": recording_id,
-            },
-        )
-        logger.info(
-            "Started Hatchet workflow",
-            workflow_id=workflow_id,
-            transcript_id=transcript.id,
-        )
-
-        await transcripts_controller.update(
-            transcript, {"workflow_run_id": workflow_id}
-        )
-        return
-
-    # Celery pipeline (runs when durable workflows disabled)
-    task_pipeline_multitrack_process.delay(
-        transcript_id=transcript.id,
-        bucket_name=bucket_name,
-        track_keys=filter_cam_audio_tracks(track_keys),
+    # Multitrack processing always uses Hatchet (no Celery fallback)
+    workflow_id = await HatchetClientManager.start_workflow(
+        workflow_name="DiarizationPipeline",
+        input_data={
+            "recording_id": recording_id,
+            "tracks": [{"s3_key": k} for k in filter_cam_audio_tracks(track_keys)],
+            "bucket_name": bucket_name,
+            "transcript_id": transcript.id,
+            "room_id": room.id,
+        },
+        additional_metadata={
+            "transcript_id": transcript.id,
+            "recording_id": recording_id,
+            "daily_recording_id": recording_id,
+        },
     )
+    logger.info(
+        "Started Hatchet workflow",
+        workflow_id=workflow_id,
+        transcript_id=transcript.id,
+    )
+
+    await transcripts_controller.update(transcript, {"workflow_run_id": workflow_id})
 
 
 @shared_task
@@ -1072,66 +1049,43 @@ async def reprocess_failed_daily_recordings():
                 )
                 continue
 
-            use_celery = room and room.use_celery
-            use_hatchet = not use_celery
-
-            if use_hatchet:
-                if not transcript:
-                    logger.warning(
-                        "No transcript for Hatchet reprocessing, skipping",
-                        recording_id=recording.id,
-                    )
-                    continue
-
-                workflow_id = await HatchetClientManager.start_workflow(
-                    workflow_name="DiarizationPipeline",
-                    input_data={
-                        "recording_id": recording.id,
-                        "tracks": [
-                            {"s3_key": k}
-                            for k in filter_cam_audio_tracks(recording.track_keys)
-                        ],
-                        "bucket_name": bucket_name,
-                        "transcript_id": transcript.id,
-                        "room_id": room.id if room else None,
-                    },
-                    additional_metadata={
-                        "transcript_id": transcript.id,
-                        "recording_id": recording.id,
-                        "reprocess": True,
-                    },
-                )
-                await transcripts_controller.update(
-                    transcript, {"workflow_run_id": workflow_id}
-                )
-
-                logger.info(
-                    "Queued Daily recording for Hatchet reprocessing",
+            # Multitrack reprocessing always uses Hatchet (no Celery fallback)
+            if not transcript:
+                logger.warning(
+                    "No transcript for Hatchet reprocessing, skipping",
                     recording_id=recording.id,
-                    workflow_id=workflow_id,
-                    room_name=meeting.room_name,
-                    track_count=len(recording.track_keys),
-                )
-            else:
-                logger.info(
-                    "Queueing Daily recording for Celery reprocessing",
-                    recording_id=recording.id,
-                    room_name=meeting.room_name,
-                    track_count=len(recording.track_keys),
-                    transcript_status=transcript.status if transcript else None,
                 )
+                continue
 
-                # For reprocessing, pass actual recording time (though it's ignored - see _process_multitrack_recording_inner)
-                # Reprocessing uses recording.meeting_id directly instead of time-based matching
-                recording_start_ts = int(recording.recorded_at.timestamp())
+            workflow_id = await HatchetClientManager.start_workflow(
+                workflow_name="DiarizationPipeline",
+                input_data={
+                    "recording_id": recording.id,
+                    "tracks": [
+                        {"s3_key": k}
+                        for k in filter_cam_audio_tracks(recording.track_keys)
+                    ],
+                    "bucket_name": bucket_name,
+                    "transcript_id": transcript.id,
+                    "room_id": room.id if room else None,
+                },
+                additional_metadata={
+                    "transcript_id": transcript.id,
+                    "recording_id": recording.id,
+                    "reprocess": True,
+                },
+            )
+            await transcripts_controller.update(
+                transcript, {"workflow_run_id": workflow_id}
+            )
 
-                process_multitrack_recording.delay(
-                    bucket_name=bucket_name,
-                    daily_room_name=meeting.room_name,
-                    recording_id=recording.id,
-                    track_keys=recording.track_keys,
-                    recording_start_ts=recording_start_ts,
-                )
+            logger.info(
+                "Queued Daily recording for Hatchet reprocessing",
+                recording_id=recording.id,
+                workflow_id=workflow_id,
+                room_name=meeting.room_name,
+                track_count=len(recording.track_keys),
+            )
 
             reprocessed_count += 1
 

server/reflector/ws_manager.py

@@ -11,7 +11,6 @@ broadcast messages to all connected websockets.
 
 import asyncio
 import json
-import threading
 
 import redis.asyncio as redis
 from fastapi import WebSocket
@@ -98,6 +97,7 @@ class WebsocketManager:
 
     async def _pubsub_data_reader(self, pubsub_subscriber):
         while True:
+            # timeout=1.0 prevents tight CPU loop when no messages available
             message = await pubsub_subscriber.get_message(
                 ignore_subscribe_messages=True
             )
@@ -109,29 +109,38 @@ class WebsocketManager:
                     await socket.send_json(data)
 
 
+# Process-global singleton to ensure only one WebsocketManager instance exists.
+# Multiple instances would cause resource leaks and CPU issues.
+_ws_manager: WebsocketManager | None = None
+
+
 def get_ws_manager() -> WebsocketManager:
     """
-    Returns the WebsocketManager instance for managing websockets.
+    Returns the global WebsocketManager singleton.
 
-    This function initializes and returns the WebsocketManager instance,
-    which is responsible for managing websockets and handling websocket
-    connections.
+    Creates instance on first call, subsequent calls return cached instance.
+    Thread-safe via GIL. Concurrent initialization may create duplicate
+    instances but last write wins (acceptable for this use case).
 
     Returns:
-        WebsocketManager: The initialized WebsocketManager instance.
-
-    Raises:
-        ImportError: If the 'reflector.settings' module cannot be imported.
-        RedisConnectionError: If there is an error connecting to the Redis server.
+        WebsocketManager: The global WebsocketManager instance.
     """
-    local = threading.local()
-    if hasattr(local, "ws_manager"):
-        return local.ws_manager
+    global _ws_manager
 
+    if _ws_manager is not None:
+        return _ws_manager
+
+    # No lock needed - GIL makes this safe enough
+    # Worst case: race creates two instances, last assignment wins
     pubsub_client = RedisPubSubManager(
         host=settings.REDIS_HOST,
         port=settings.REDIS_PORT,
     )
-    ws_manager = WebsocketManager(pubsub_client=pubsub_client)
-    local.ws_manager = ws_manager
-    return ws_manager
+    _ws_manager = WebsocketManager(pubsub_client=pubsub_client)
+    return _ws_manager
+
+
+def reset_ws_manager() -> None:
+    """Reset singleton for testing. DO NOT use in production."""
+    global _ws_manager
+    _ws_manager = None

server/tests/conftest.py

@@ -1,11 +1,10 @@
 import os
 from contextlib import asynccontextmanager
-from tempfile import NamedTemporaryFile
 from unittest.mock import patch
 
 import pytest
 
-from reflector.schemas.platform import WHEREBY_PLATFORM
+from reflector.schemas.platform import DAILY_PLATFORM, WHEREBY_PLATFORM
 
 
 @pytest.fixture(scope="session", autouse=True)
@@ -15,6 +14,7 @@ def register_mock_platform():
     from reflector.video_platforms.registry import register_platform
 
     register_platform(WHEREBY_PLATFORM, MockPlatformClient)
+    register_platform(DAILY_PLATFORM, MockPlatformClient)
     yield
 
 
@@ -333,11 +333,14 @@ def celery_enable_logging():
 
 @pytest.fixture(scope="session")
 def celery_config():
-    with NamedTemporaryFile() as f:
-        yield {
-            "broker_url": "memory://",
-            "result_backend": f"db+sqlite:///{f.name}",
-        }
+    redis_host = os.environ.get("REDIS_HOST", "localhost")
+    redis_port = os.environ.get("REDIS_PORT", "6379")
+    # Use db 2 to avoid conflicts with main app
+    redis_url = f"redis://{redis_host}:{redis_port}/2"
+    yield {
+        "broker_url": redis_url,
+        "result_backend": redis_url,
+    }
 
 
 @pytest.fixture(scope="session")
@@ -370,9 +373,12 @@ async def ws_manager_in_memory(monkeypatch):
         def __init__(self, queue: asyncio.Queue):
             self.queue = queue
 
-        async def get_message(self, ignore_subscribe_messages: bool = True):
+        async def get_message(
+            self, ignore_subscribe_messages: bool = True, timeout: float | None = None
+        ):
+            wait_timeout = timeout if timeout is not None else 0.05
             try:
-                return await asyncio.wait_for(self.queue.get(), timeout=0.05)
+                return await asyncio.wait_for(self.queue.get(), timeout=wait_timeout)
             except Exception:
                 return None
 

server/tests/test_transcripts_process.py

@@ -1,6 +1,6 @@
 import asyncio
 import time
-from unittest.mock import patch
+from unittest.mock import AsyncMock, patch
 
 import pytest
 from httpx import ASGITransport, AsyncClient
@@ -142,17 +142,17 @@ async def test_whereby_recording_uses_file_pipeline(client):
             "reflector.services.transcript_process.task_pipeline_file_process"
         ) as mock_file_pipeline,
         patch(
-            "reflector.services.transcript_process.task_pipeline_multitrack_process"
-        ) as mock_multitrack_pipeline,
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet,
     ):
         response = await client.post(f"/transcripts/{transcript.id}/process")
 
         assert response.status_code == 200
         assert response.json()["status"] == "ok"
 
-        # Whereby recordings should use file pipeline
+        # Whereby recordings should use file pipeline, not Hatchet
         mock_file_pipeline.delay.assert_called_once_with(transcript_id=transcript.id)
-        mock_multitrack_pipeline.delay.assert_not_called()
+        mock_hatchet.start_workflow.assert_not_called()
 
 
 @pytest.mark.usefixtures("setup_database")
@@ -177,8 +177,6 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
         recording_trigger="automatic-2nd-participant",
         is_shared=False,
     )
-    # Force Celery backend for test
-    await rooms_controller.update(room, {"use_celery": True})
 
     transcript = await transcripts_controller.add(
         "",
@@ -213,18 +211,23 @@ async def test_dailyco_recording_uses_multitrack_pipeline(client):
             "reflector.services.transcript_process.task_pipeline_file_process"
         ) as mock_file_pipeline,
         patch(
-            "reflector.services.transcript_process.task_pipeline_multitrack_process"
-        ) as mock_multitrack_pipeline,
+            "reflector.services.transcript_process.HatchetClientManager"
+        ) as mock_hatchet,
     ):
+        mock_hatchet.start_workflow = AsyncMock(return_value="test-workflow-id")
+
         response = await client.post(f"/transcripts/{transcript.id}/process")
 
         assert response.status_code == 200
         assert response.json()["status"] == "ok"
 
-        # Daily.co multitrack recordings should use multitrack pipeline
-        mock_multitrack_pipeline.delay.assert_called_once_with(
-            transcript_id=transcript.id,
-            bucket_name="daily-bucket",
-            track_keys=track_keys,
-        )
+        # Daily.co multitrack recordings should use Hatchet workflow
+        mock_hatchet.start_workflow.assert_called_once()
+        call_kwargs = mock_hatchet.start_workflow.call_args.kwargs
+        assert call_kwargs["workflow_name"] == "DiarizationPipeline"
+        assert call_kwargs["input_data"]["transcript_id"] == transcript.id
+        assert call_kwargs["input_data"]["bucket_name"] == "daily-bucket"
+        assert call_kwargs["input_data"]["tracks"] == [
+            {"s3_key": k} for k in track_keys
+        ]
         mock_file_pipeline.delay.assert_not_called()

server/tests/test_transcripts_rtc_ws.py

@@ -115,9 +115,7 @@ def appserver(tmpdir, setup_database, celery_session_app, celery_session_worker)
     settings.DATA_DIR = DATA_DIR
 
 
-@pytest.fixture(scope="session")
-def celery_includes():
-    return ["reflector.pipelines.main_live_pipeline"]
+# Using celery_includes from conftest.py which includes both pipelines
 
 
 @pytest.mark.usefixtures("setup_database")

server/tests/test_user_websocket_auth.py

@@ -56,7 +56,12 @@ def appserver_ws_user(setup_database):
 
     if server_instance:
         server_instance.should_exit = True
-        server_thread.join(timeout=30)
+        server_thread.join(timeout=2.0)
+
+    # Reset global singleton for test isolation
+    from reflector.ws_manager import reset_ws_manager
+
+    reset_ws_manager()
 
 
 @pytest.fixture(autouse=True)
@@ -133,6 +138,8 @@ async def test_user_ws_accepts_valid_token_and_receives_events(appserver_ws_user
 
     # Connect and then trigger an event via HTTP create
     async with aconnect_ws(base_ws, subprotocols=subprotocols) as ws:
+        await asyncio.sleep(0.2)
+
         # Emit an event to the user's room via a standard HTTP action
         from httpx import AsyncClient
 
@@ -150,6 +157,7 @@ async def test_user_ws_accepts_valid_token_and_receives_events(appserver_ws_user
             "email": "user-abc@example.com",
         }
 
+        # Use in-memory client (global singleton makes it share ws_manager)
         async with AsyncClient(app=app, base_url=f"http://{host}:{port}/v1") as ac:
             # Create a transcript as this user so that the server publishes TRANSCRIPT_CREATED to user room
             resp = await ac.post("/transcripts", json={"name": "WS Test"})

www/app/lib/__tests__/meetingStatusBatcher.test.tsx

@@ -0,0 +1,217 @@
+import "@testing-library/jest-dom";
+
+// --- Module mocks (hoisted before imports) ---
+
+jest.mock("../apiClient", () => ({
+  client: {
+    GET: jest.fn(),
+    POST: jest.fn(),
+    PUT: jest.fn(),
+    PATCH: jest.fn(),
+    DELETE: jest.fn(),
+    use: jest.fn(),
+  },
+  $api: {
+    useQuery: jest.fn(),
+    useMutation: jest.fn(),
+    queryOptions: (method: string, path: string, init?: unknown) =>
+      init === undefined
+        ? { queryKey: [method, path] }
+        : { queryKey: [method, path, init] },
+  },
+  API_URL: "http://test",
+  WEBSOCKET_URL: "ws://test",
+  configureApiAuth: jest.fn(),
+}));
+
+jest.mock("../AuthProvider", () => ({
+  useAuth: () => ({
+    status: "authenticated" as const,
+    accessToken: "test-token",
+    accessTokenExpires: Date.now() + 3600000,
+    user: { id: "user1", name: "Test User" },
+    update: jest.fn(),
+    signIn: jest.fn(),
+    signOut: jest.fn(),
+    lastUserId: "user1",
+  }),
+}));
+
+// Recreate the batcher with a 0ms window. setTimeout(fn, 0) defers to the next
+// macrotask boundary — after all synchronous React rendering completes. All
+// useQuery queryFns fire within the same macrotask, so they all queue into one
+// batch before the timer fires. This is deterministic and avoids fake timers.
+jest.mock("../meetingStatusBatcher", () => {
+  const actual = jest.requireActual("../meetingStatusBatcher");
+  return {
+    ...actual,
+    meetingStatusBatcher: actual.createMeetingStatusBatcher(0),
+  };
+});
+
+// --- Imports (after mocks) ---
+
+import React from "react";
+import { render, waitFor, screen } from "@testing-library/react";
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
+import { useRoomActiveMeetings, useRoomUpcomingMeetings } from "../apiHooks";
+import { client } from "../apiClient";
+import { ErrorProvider } from "../../(errors)/errorContext";
+
+const mockClient = client as { POST: jest.Mock };
+
+// --- Helpers ---
+
+function mockBulkStatusEndpoint(
+  roomData?: Record<
+    string,
+    { active_meetings: unknown[]; upcoming_events: unknown[] }
+  >,
+) {
+  mockClient.POST.mockImplementation(
+    async (_path: string, options: { body: { room_names: string[] } }) => {
+      const roomNames: string[] = options.body.room_names;
+      const src = roomData ?? {};
+      const data = Object.fromEntries(
+        roomNames.map((name) => [
+          name,
+          src[name] ?? { active_meetings: [], upcoming_events: [] },
+        ]),
+      );
+      return { data, error: undefined, response: {} };
+    },
+  );
+}
+
+// --- Test component: renders N room cards, each using both hooks ---
+
+function RoomCard({ roomName }: { roomName: string }) {
+  const active = useRoomActiveMeetings(roomName);
+  const upcoming = useRoomUpcomingMeetings(roomName);
+
+  if (active.isLoading || upcoming.isLoading) {
+    return <div data-testid={`room-${roomName}`}>loading</div>;
+  }
+
+  return (
+    <div data-testid={`room-${roomName}`}>
+      {active.data?.length ?? 0} active, {upcoming.data?.length ?? 0} upcoming
+    </div>
+  );
+}
+
+function RoomList({ roomNames }: { roomNames: string[] }) {
+  return (
+    <>
+      {roomNames.map((name) => (
+        <RoomCard key={name} roomName={name} />
+      ))}
+    </>
+  );
+}
+
+function createWrapper() {
+  const queryClient = new QueryClient({
+    defaultOptions: {
+      queries: { retry: false },
+    },
+  });
+  return function Wrapper({ children }: { children: React.ReactNode }) {
+    return (
+      <QueryClientProvider client={queryClient}>
+        <ErrorProvider>{children}</ErrorProvider>
+      </QueryClientProvider>
+    );
+  };
+}
+
+// --- Tests ---
+
+describe("meeting status batcher integration", () => {
+  afterEach(() => jest.clearAllMocks());
+
+  it("batches multiple room queries into a single POST request", async () => {
+    const rooms = Array.from({ length: 10 }, (_, i) => `room-${i}`);
+
+    mockBulkStatusEndpoint();
+
+    render(<RoomList roomNames={rooms} />, { wrapper: createWrapper() });
+
+    await waitFor(() => {
+      for (const name of rooms) {
+        expect(screen.getByTestId(`room-${name}`)).toHaveTextContent(
+          "0 active, 0 upcoming",
+        );
+      }
+    });
+
+    const postCalls = mockClient.POST.mock.calls.filter(
+      ([path]: [string]) => path === "/v1/rooms/meetings/bulk-status",
+    );
+
+    // Without batching this would be 20 calls (2 hooks x 10 rooms).
+    expect(postCalls).toHaveLength(1);
+
+    // The single call should contain all 10 rooms (deduplicated)
+    const requestedRooms: string[] = postCalls[0][1].body.room_names;
+    for (const name of rooms) {
+      expect(requestedRooms).toContain(name);
+    }
+  });
+
+  it("batcher fetcher returns room-specific data", async () => {
+    const {
+      meetingStatusBatcher: batcher,
+    } = require("../meetingStatusBatcher");
+
+    mockBulkStatusEndpoint({
+      "room-a": {
+        active_meetings: [{ id: "m1", room_name: "room-a" }],
+        upcoming_events: [],
+      },
+      "room-b": {
+        active_meetings: [],
+        upcoming_events: [{ id: "e1", title: "Standup" }],
+      },
+    });
+
+    const [resultA, resultB] = await Promise.all([
+      batcher.fetch("room-a"),
+      batcher.fetch("room-b"),
+    ]);
+
+    expect(mockClient.POST).toHaveBeenCalledTimes(1);
+    expect(resultA.active_meetings).toEqual([
+      { id: "m1", room_name: "room-a" },
+    ]);
+    expect(resultA.upcoming_events).toEqual([]);
+    expect(resultB.active_meetings).toEqual([]);
+    expect(resultB.upcoming_events).toEqual([{ id: "e1", title: "Standup" }]);
+  });
+
+  it("renders room-specific meeting data through hooks", async () => {
+    mockBulkStatusEndpoint({
+      "room-a": {
+        active_meetings: [{ id: "m1", room_name: "room-a" }],
+        upcoming_events: [],
+      },
+      "room-b": {
+        active_meetings: [],
+        upcoming_events: [{ id: "e1", title: "Standup" }],
+      },
+    });
+
+    render(<RoomList roomNames={["room-a", "room-b"]} />, {
+      wrapper: createWrapper(),
+    });
+
+    await waitFor(() => {
+      expect(screen.getByTestId("room-room-a")).toHaveTextContent(
+        "1 active, 0 upcoming",
+      );
+      expect(screen.getByTestId("room-room-b")).toHaveTextContent(
+        "0 active, 1 upcoming",
+      );
+    });
+  });
+});

www/app/lib/apiHooks.ts

@@ -2,9 +2,10 @@
 
 import { $api } from "./apiClient";
 import { useError } from "../(errors)/errorContext";
-import { QueryClient, useQueryClient } from "@tanstack/react-query";
+import { QueryClient, useQuery, useQueryClient } from "@tanstack/react-query";
 import type { components } from "../reflector-api";
 import { useAuth } from "./AuthProvider";
+import { meetingStatusBatcher } from "./meetingStatusBatcher";
 import { MeetingId } from "./types";
 import { NonEmptyString } from "./utils";
 
@@ -697,15 +698,7 @@ export function useRoomsCreateMeeting() {
           queryKey: $api.queryOptions("get", "/v1/rooms").queryKey,
         }),
         queryClient.invalidateQueries({
-          queryKey: $api.queryOptions(
-            "get",
-            "/v1/rooms/{room_name}/meetings/active" satisfies `/v1/rooms/{room_name}/${typeof MEETINGS_ACTIVE_PATH_PARTIAL}`,
-            {
-              params: {
-                path: { room_name: roomName },
-              },
-            },
-          ).queryKey,
+          queryKey: meetingStatusKeys.active(roomName),
         }),
       ]);
     },
@@ -734,42 +727,39 @@ export function useRoomGetByName(roomName: string | null) {
 export function useRoomUpcomingMeetings(roomName: string | null) {
   const { isAuthenticated } = useAuthReady();
 
-  return $api.useQuery(
-    "get",
-    "/v1/rooms/{room_name}/meetings/upcoming" satisfies `/v1/rooms/{room_name}/${typeof MEETINGS_UPCOMING_PATH_PARTIAL}`,
-    {
-      params: {
-        path: { room_name: roomName! },
-      },
+  return useQuery({
+    queryKey: meetingStatusKeys.upcoming(roomName!),
+    queryFn: async () => {
+      const result = await meetingStatusBatcher.fetch(roomName!);
+      return result.upcoming_events;
     },
-    {
-      enabled: !!roomName && isAuthenticated,
-    },
-  );
+    enabled: !!roomName && isAuthenticated,
+  });
 }
 
-const MEETINGS_PATH_PARTIAL = "meetings" as const;
-const MEETINGS_ACTIVE_PATH_PARTIAL = `${MEETINGS_PATH_PARTIAL}/active` as const;
-const MEETINGS_UPCOMING_PATH_PARTIAL =
-  `${MEETINGS_PATH_PARTIAL}/upcoming` as const;
-const MEETING_LIST_PATH_PARTIALS = [
-  MEETINGS_ACTIVE_PATH_PARTIAL,
-  MEETINGS_UPCOMING_PATH_PARTIAL,
-];
+// Query keys reuse $api.queryOptions so cache identity matches the original
+// per-room GET endpoints. The actual fetch goes through the batcher, but the
+// keys stay consistent with the rest of the codebase.
+const meetingStatusKeys = {
+  active: (roomName: string) =>
+    $api.queryOptions("get", "/v1/rooms/{room_name}/meetings/active", {
+      params: { path: { room_name: roomName } },
+    }).queryKey,
+  upcoming: (roomName: string) =>
+    $api.queryOptions("get", "/v1/rooms/{room_name}/meetings/upcoming", {
+      params: { path: { room_name: roomName } },
+    }).queryKey,
+};
 
 export function useRoomActiveMeetings(roomName: string | null) {
-  return $api.useQuery(
-    "get",
-    "/v1/rooms/{room_name}/meetings/active" satisfies `/v1/rooms/{room_name}/${typeof MEETINGS_ACTIVE_PATH_PARTIAL}`,
-    {
-      params: {
-        path: { room_name: roomName! },
-      },
+  return useQuery({
+    queryKey: meetingStatusKeys.active(roomName!),
+    queryFn: async () => {
+      const result = await meetingStatusBatcher.fetch(roomName!);
+      return result.active_meetings;
     },
-    {
-      enabled: !!roomName,
-    },
-  );
+    enabled: !!roomName,
+  });
 }
 
 export function useRoomGetMeeting(

www/app/lib/meetingStatusBatcher.ts

@@ -0,0 +1,37 @@
+import { create, keyResolver, windowScheduler } from "@yornaath/batshit";
+import { client } from "./apiClient";
+import type { components } from "../reflector-api";
+
+type MeetingStatusResult = {
+  roomName: string;
+  active_meetings: components["schemas"]["Meeting"][];
+  upcoming_events: components["schemas"]["CalendarEventResponse"][];
+};
+
+const BATCH_WINDOW_MS = 10;
+
+export function createMeetingStatusBatcher(windowMs: number = BATCH_WINDOW_MS) {
+  return create({
+    fetcher: async (roomNames: string[]): Promise<MeetingStatusResult[]> => {
+      const unique = [...new Set(roomNames)];
+      const { data, error } = await client.POST(
+        "/v1/rooms/meetings/bulk-status",
+        { body: { room_names: unique } },
+      );
+      if (error || !data) {
+        throw new Error(
+          `bulk-status fetch failed: ${JSON.stringify(error ?? "no data")}`,
+        );
+      }
+      return roomNames.map((name) => ({
+        roomName: name,
+        active_meetings: data[name]?.active_meetings ?? [],
+        upcoming_events: data[name]?.upcoming_events ?? [],
+      }));
+    },
+    resolver: keyResolver("roomName"),
+    scheduler: windowScheduler(windowMs),
+  });
+}
+
+export const meetingStatusBatcher = createMeetingStatusBatcher();

www/app/reflector-api.d.ts

@@ -118,6 +118,23 @@ export interface paths {
     patch?: never;
     trace?: never;
   };
+  "/v1/rooms/meetings/bulk-status": {
+    parameters: {
+      query?: never;
+      header?: never;
+      path?: never;
+      cookie?: never;
+    };
+    get?: never;
+    put?: never;
+    /** Rooms Bulk Meeting Status */
+    post: operations["v1_rooms_bulk_meeting_status"];
+    delete?: never;
+    options?: never;
+    head?: never;
+    patch?: never;
+    trace?: never;
+  };
   "/v1/rooms/{room_id}": {
     parameters: {
       query?: never;
@@ -799,6 +816,11 @@ export interface components {
        */
       chunk: string;
     };
+    /** BulkStatusRequest */
+    BulkStatusRequest: {
+      /** Room Names */
+      room_names: string[];
+    };
     /** CalendarEventResponse */
     CalendarEventResponse: {
       /** Id */
@@ -1735,6 +1757,13 @@ export interface components {
       /** Webhook Secret */
       webhook_secret: string | null;
     };
+    /** RoomMeetingStatus */
+    RoomMeetingStatus: {
+      /** Active Meetings */
+      active_meetings: components["schemas"]["Meeting"][];
+      /** Upcoming Events */
+      upcoming_events: components["schemas"]["CalendarEventResponse"][];
+    };
     /** RtcOffer */
     RtcOffer: {
       /** Sdp */
@@ -2272,6 +2301,41 @@ export interface operations {
       };
     };
   };
+  v1_rooms_bulk_meeting_status: {
+    parameters: {
+      query?: never;
+      header?: never;
+      path?: never;
+      cookie?: never;
+    };
+    requestBody: {
+      content: {
+        "application/json": components["schemas"]["BulkStatusRequest"];
+      };
+    };
+    responses: {
+      /** @description Successful Response */
+      200: {
+        headers: {
+          [name: string]: unknown;
+        };
+        content: {
+          "application/json": {
+            [key: string]: components["schemas"]["RoomMeetingStatus"];
+          };
+        };
+      };
+      /** @description Validation Error */
+      422: {
+        headers: {
+          [name: string]: unknown;
+        };
+        content: {
+          "application/json": components["schemas"]["HTTPValidationError"];
+        };
+      };
+    };
+  };
   v1_rooms_get: {
     parameters: {
       query?: never;

www/jest.config.js

@@ -1,8 +1,22 @@
 module.exports = {
-  preset: "ts-jest",
-  testEnvironment: "node",
+  testEnvironment: "jest-environment-jsdom",
   roots: ["<rootDir>/app"],
-  testMatch: ["**/__tests__/**/*.test.ts"],
-  collectCoverage: true,
-  collectCoverageFrom: ["app/**/*.ts", "!app/**/*.d.ts"],
+  testMatch: ["**/__tests__/**/*.test.ts", "**/__tests__/**/*.test.tsx"],
+  collectCoverage: false,
+  transform: {
+    "^.+\\.[jt]sx?$": [
+      "ts-jest",
+      {
+        tsconfig: {
+          jsx: "react-jsx",
+          module: "esnext",
+          moduleResolution: "bundler",
+          esModuleInterop: true,
+          strict: true,
+          downlevelIteration: true,
+          lib: ["dom", "dom.iterable", "esnext"],
+        },
+      },
+    ],
+  },
 };

www/package.json

@@ -23,6 +23,7 @@
     "@tanstack/react-query": "^5.85.9",
     "@types/ioredis": "^5.0.0",
     "@whereby.com/browser-sdk": "^3.3.4",
+    "@yornaath/batshit": "^0.14.0",
     "autoprefixer": "10.4.20",
     "axios": "^1.8.2",
     "eslint": "^9.33.0",
@@ -61,9 +62,13 @@
   "author": "Andreas <andreas@monadical.com>",
   "license": "All Rights Reserved",
   "devDependencies": {
+    "@testing-library/dom": "^10.4.1",
+    "@testing-library/jest-dom": "^6.9.1",
+    "@testing-library/react": "^16.3.2",
     "@types/jest": "^30.0.0",
     "@types/react": "18.2.20",
     "jest": "^30.1.3",
+    "jest-environment-jsdom": "^30.2.0",
     "openapi-typescript": "^7.9.1",
     "prettier": "^3.0.0",
     "ts-jest": "^29.4.1"