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...

13 Commits

Author SHA1 Message Date
Igor Loskutov
df6916385b fix: address review feedback
- Add PUBLIC_MODE auth guard on bulk-status endpoint
- Convert DB models to view models via model_validate()
- Early return when no accessible rooms (skip DB queries)
- BulkMeetingStatusMap: Partial<Record> for type honesty
- Sort roomNames in query key for cache stability
- Remove redundant empty-guard in queryFn
- Add 7 backend tests: auth, redaction, whereby host_room_url, 401, empty
- Add 2 frontend tests: error handling, unauthenticated case
2026-02-05 20:30:26 -05:00
Igor Loskutov
083a50cbcd fix: batch room meeting status queries via prop-drilling
Alternative to the batcher approach (#848): parent fetches all room
meeting statuses in a single bulk POST and passes data down as props.
No extra dependency (@yornaath/batshit), no implicit batching magic.

Backend: POST /v1/rooms/meetings/bulk-status + bulk DB methods.
Frontend: useRoomsBulkMeetingStatus hook in RoomList, MeetingStatus
receives data as props instead of calling per-room hooks.
CI: fix pnpm 8→10 auto-detect, add concurrency group.
Tests: Jest+jsdom+testing-library for bulk hook.
2026-02-05 20:04:31 -05:00
1ce1c7a910 fix: websocket tests (#825)
* fix websocket tests

* fix: restore timeout and fix celery test infrastructure

- Re-add timeout=1.0 to ws_manager pubsub loop (prevents CPU spin?)
- Use Redis for Celery tests (memory:// broker doesn't support chords)
- Add timeout param to in-memory subscriber mock
- Remove duplicate celery_includes fixture from rtc_ws tests

* fix: remove redundant inline imports in test files

* fix: update gitleaks ignore for moved s3_key line

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
2026-02-05 14:23:31 -05:00
Rémi Pauchet
984795357e - fix nvidia repo blocked by apt (sha1) (#845)
- use build cache for apt and uv
- limit concurency for uv to prevent crashes with too many cores
2026-02-05 13:59:34 -05:00
fa3cf5da0f chore(main): release 0.32.2 (#842) 2026-02-03 22:05:22 -05:00
8707c6694a fix: use Daily API recording.duration as master source for transcript duration (#844)
Set duration early in get_participants from Daily API (seconds -> ms),
ensuring post_zulip has the value before mixdown_tracks completes.

Removes redundant duration update from mixdown_tracks.

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
2026-02-03 17:15:03 -05:00
4acde4b7fd fix: increase TIMEOUT_MEDIUM from 2m to 5m for LLM tasks (#843)
Topic detection was timing out on longer transcripts when LLM
responses are slow. This affects detect_chunk_topic and other
LLM-calling tasks that use TIMEOUT_MEDIUM.

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
2026-02-03 16:05:16 -05:00
a2ed7d60d5 fix: make caddy optional (#841) 2026-02-03 00:18:47 +01:00
a08f94a5bf chore(main): release 0.32.1 (#840) 2026-01-30 17:34:48 -05:00
Igor Loskutov
c05d1f03cd fix: match httpx pad with hatchet audio timeout 2026-01-30 15:56:18 -05:00
Igor Loskutov
23eb1371cb fix: daily multitrack pipeline finalze dependency fix 2026-01-30 15:19:27 -05:00
2592e369f6 chore(main): release 0.32.0 (#838) 2026-01-30 13:13:59 -05:00
7fde64e252 feat: modal padding (#837)
* Add Modal backend for audio padding

- Create reflector_padding.py Modal deployment (CPU-based)
- Add PaddingWorkflow with conditional Modal/local backend
- Update deploy-all.sh to include padding deployment

---------

Co-authored-by: Igor Loskutov <igor.loskutoff@gmail.com>
2026-01-30 13:11:51 -05:00
38 changed files with 2326 additions and 216 deletions

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@@ -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'
@@ -42,4 +40,4 @@ jobs:
run: pnpm install
- name: Run tests
run: pnpm test
run: pnpm test

1
.gitignore vendored
View File

@@ -1,5 +1,6 @@
.DS_Store
server/.env
server/.env.production
.env
Caddyfile
server/exportdanswer

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@@ -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

View File

@@ -1,5 +1,29 @@
# Changelog
## [0.32.2](https://github.com/Monadical-SAS/reflector/compare/v0.32.1...v0.32.2) (2026-02-03)
### Bug Fixes
* increase TIMEOUT_MEDIUM from 2m to 5m for LLM tasks ([#843](https://github.com/Monadical-SAS/reflector/issues/843)) ([4acde4b](https://github.com/Monadical-SAS/reflector/commit/4acde4b7fdef88cc02ca12cf38c9020b05ed96ac))
* make caddy optional ([#841](https://github.com/Monadical-SAS/reflector/issues/841)) ([a2ed7d6](https://github.com/Monadical-SAS/reflector/commit/a2ed7d60d557b551a5b64e4dfd909b63a791d9fc))
* use Daily API recording.duration as master source for transcript duration ([#844](https://github.com/Monadical-SAS/reflector/issues/844)) ([8707c66](https://github.com/Monadical-SAS/reflector/commit/8707c6694a80c939b6214bbc13331741f192e082))
## [0.32.1](https://github.com/Monadical-SAS/reflector/compare/v0.32.0...v0.32.1) (2026-01-30)
### Bug Fixes
* daily multitrack pipeline finalze dependency fix ([23eb137](https://github.com/Monadical-SAS/reflector/commit/23eb1371cb9348c4b81eb12ad506b582f8a4799e))
* match httpx pad with hatchet audio timeout ([c05d1f0](https://github.com/Monadical-SAS/reflector/commit/c05d1f03cd8369fc06efd455527e50246887efd0))
## [0.32.0](https://github.com/Monadical-SAS/reflector/compare/v0.31.0...v0.32.0) (2026-01-30)
### Features
* modal padding ([#837](https://github.com/Monadical-SAS/reflector/issues/837)) ([7fde64e](https://github.com/Monadical-SAS/reflector/commit/7fde64e2529a1d37b0f7507c62d983a7bd0b5b89))
## [0.31.0](https://github.com/Monadical-SAS/reflector/compare/v0.30.0...v0.31.0) (2026-01-23)

View File

@@ -1,6 +1,8 @@
# Reflector Caddyfile
# Replace example.com with your actual domains
# CORS is handled by the backend - Caddy just proxies
# Reflector Caddyfile (optional reverse proxy)
# Use this only when you run Caddy via: docker compose -f docker-compose.prod.yml --profile caddy up -d
# If Coolify, Traefik, or nginx already use ports 80/443, do NOT start Caddy; point your proxy at web:3000 and server:1250.
#
# Replace example.com with your actual domains. CORS is handled by the backend - Caddy just proxies.
#
# For environment variable substitution, set:
# FRONTEND_DOMAIN=app.example.com

View File

@@ -1,9 +1,14 @@
# Production Docker Compose configuration
# Usage: docker compose -f docker-compose.prod.yml up -d
#
# Caddy (reverse proxy on ports 80/443) is OPTIONAL and behind the "caddy" profile:
# - With Caddy (self-hosted, you manage SSL): docker compose -f docker-compose.prod.yml --profile caddy up -d
# - Without Caddy (Coolify/Traefik/nginx already on 80/443): docker compose -f docker-compose.prod.yml up -d
# Then point your proxy at web:3000 (frontend) and server:1250 (API).
#
# Prerequisites:
# 1. Copy .env.example to .env and configure for both server/ and www/
# 2. Copy Caddyfile.example to Caddyfile and edit with your domains
# 2. If using Caddy: copy Caddyfile.example to Caddyfile and edit your domains
# 3. Deploy Modal GPU functions (see gpu/modal_deployments/deploy-all.sh)
services:
@@ -84,6 +89,8 @@ services:
retries: 3
caddy:
profiles:
- caddy
image: caddy:2-alpine
restart: unless-stopped
ports:

View File

@@ -11,15 +11,15 @@ This page documents the Docker Compose configuration for Reflector. For the comp
The `docker-compose.prod.yml` includes these services:
| Service | Image | Purpose |
|---------|-------|---------|
| `web` | `monadicalsas/reflector-frontend` | Next.js frontend |
| `server` | `monadicalsas/reflector-backend` | FastAPI backend |
| `worker` | `monadicalsas/reflector-backend` | Celery worker for background tasks |
| `beat` | `monadicalsas/reflector-backend` | Celery beat scheduler |
| `redis` | `redis:7.2-alpine` | Message broker and cache |
| `postgres` | `postgres:17-alpine` | Primary database |
| `caddy` | `caddy:2-alpine` | Reverse proxy with auto-SSL |
| Service | Image | Purpose |
| ---------- | --------------------------------- | --------------------------------------------------------------------------- |
| `web` | `monadicalsas/reflector-frontend` | Next.js frontend |
| `server` | `monadicalsas/reflector-backend` | FastAPI backend |
| `worker` | `monadicalsas/reflector-backend` | Celery worker for background tasks |
| `beat` | `monadicalsas/reflector-backend` | Celery beat scheduler |
| `redis` | `redis:7.2-alpine` | Message broker and cache |
| `postgres` | `postgres:17-alpine` | Primary database |
| `caddy` | `caddy:2-alpine` | Reverse proxy with auto-SSL (optional; see [Caddy profile](#caddy-profile)) |
## Environment Files
@@ -30,6 +30,7 @@ Reflector uses two separate environment files:
Used by: `server`, `worker`, `beat`
Key variables:
```env
# Database connection
DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
@@ -54,6 +55,7 @@ TRANSCRIPT_MODAL_API_KEY=...
Used by: `web`
Key variables:
```env
# Domain configuration
SITE_URL=https://app.example.com
@@ -70,26 +72,42 @@ Note: `API_URL` is used client-side (browser), `SERVER_API_URL` is used server-s
## Volumes
| Volume | Purpose |
|--------|---------|
| `redis_data` | Redis persistence |
| `postgres_data` | PostgreSQL data |
| `server_data` | Uploaded files, local storage |
| `caddy_data` | SSL certificates |
| `caddy_config` | Caddy configuration |
| Volume | Purpose |
| --------------- | ----------------------------- |
| `redis_data` | Redis persistence |
| `postgres_data` | PostgreSQL data |
| `server_data` | Uploaded files, local storage |
| `caddy_data` | SSL certificates |
| `caddy_config` | Caddy configuration |
## Network
All services share the default network. The network is marked `attachable: true` to allow external containers (like Authentik) to join.
## Caddy profile
Caddy (ports 80 and 443) is **optional** and behind the `caddy` profile so it does not conflict with an existing reverse proxy (e.g. Coolify, Traefik, nginx).
- **With Caddy** (you want Reflector to handle SSL):
`docker compose -f docker-compose.prod.yml --profile caddy up -d`
- **Without Caddy** (Coolify or another proxy already on 80/443):
`docker compose -f docker-compose.prod.yml up -d`
Then configure your proxy to send traffic to `web:3000` (frontend) and `server:1250` (API).
## Common Commands
### Start all services
```bash
# Without Caddy (e.g. when using Coolify)
docker compose -f docker-compose.prod.yml up -d
# With Caddy as reverse proxy
docker compose -f docker-compose.prod.yml --profile caddy up -d
```
### View logs
```bash
# All services
docker compose -f docker-compose.prod.yml logs -f
@@ -99,6 +117,7 @@ docker compose -f docker-compose.prod.yml logs server --tail 50
```
### Restart a service
```bash
# Quick restart (doesn't reload .env changes)
docker compose -f docker-compose.prod.yml restart server
@@ -108,27 +127,32 @@ docker compose -f docker-compose.prod.yml up -d server
```
### Run database migrations
```bash
docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
```
### Access database
```bash
docker compose -f docker-compose.prod.yml exec postgres psql -U reflector
```
### Pull latest images
```bash
docker compose -f docker-compose.prod.yml pull
docker compose -f docker-compose.prod.yml up -d
```
### Stop all services
```bash
docker compose -f docker-compose.prod.yml down
```
### Full reset (WARNING: deletes data)
```bash
docker compose -f docker-compose.prod.yml down -v
```
@@ -187,6 +211,7 @@ The Caddyfile supports environment variable substitution:
Set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables, or edit the file directly.
### Reload Caddy after changes
```bash
docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile
```

View File

@@ -26,7 +26,7 @@ flowchart LR
Before starting, you need:
- **Production server** - 4+ cores, 8GB+ RAM, public IP
- **Production server** - 4+ cores, 8GB+ RAM, public IP
- **Two domain names** - e.g., `app.example.com` (frontend) and `api.example.com` (backend)
- **GPU processing** - Choose one:
- Modal.com account, OR
@@ -60,16 +60,17 @@ Type: A Name: api Value: <your-server-ip>
Reflector requires GPU processing for transcription and speaker diarization. Choose one option:
| | **Modal.com (Cloud)** | **Self-Hosted GPU** |
|---|---|---|
| | **Modal.com (Cloud)** | **Self-Hosted GPU** |
| ------------ | --------------------------------- | ---------------------------- |
| **Best for** | No GPU hardware, zero maintenance | Own GPU server, full control |
| **Pricing** | Pay-per-use | Fixed infrastructure cost |
| **Pricing** | Pay-per-use | Fixed infrastructure cost |
### Option A: Modal.com (Serverless Cloud GPU)
#### Accept HuggingFace Licenses
Visit both pages and click "Accept":
- https://huggingface.co/pyannote/speaker-diarization-3.1
- https://huggingface.co/pyannote/segmentation-3.0
@@ -179,6 +180,7 @@ Save these credentials - you'll need them in the next step.
## Configure Environment
Reflector has two env files:
- `server/.env` - Backend configuration
- `www/.env` - Frontend configuration
@@ -190,6 +192,7 @@ nano server/.env
```
**Required settings:**
```env
# Database (defaults work with docker-compose.prod.yml)
DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
@@ -249,6 +252,7 @@ nano www/.env
```
**Required settings:**
```env
# Your domains
SITE_URL=https://app.example.com
@@ -266,7 +270,11 @@ FEATURE_REQUIRE_LOGIN=false
---
## Configure Caddy
## Reverse proxy (Caddy or existing)
**If Coolify, Traefik, or nginx already use ports 80/443** (e.g. Coolify on your host): skip Caddy. Start the stack without the Caddy profile (see [Start Services](#start-services) below), then point your proxy at `web:3000` (frontend) and `server:1250` (API).
**If you want Reflector to provide the reverse proxy and SSL:**
```bash
cp Caddyfile.example Caddyfile
@@ -289,10 +297,18 @@ Replace `example.com` with your domains. The `{$VAR:default}` syntax uses Caddy'
## Start Services
**Without Caddy** (e.g. Coolify already on 80/443):
```bash
docker compose -f docker-compose.prod.yml up -d
```
**With Caddy** (Reflector handles SSL):
```bash
docker compose -f docker-compose.prod.yml --profile caddy up -d
```
Wait for containers to start (first run may take 1-2 minutes to pull images and initialize).
---
@@ -300,18 +316,21 @@ Wait for containers to start (first run may take 1-2 minutes to pull images and
## Verify Deployment
### Check services
```bash
docker compose -f docker-compose.prod.yml ps
# All should show "Up"
```
### Test API
```bash
curl https://api.example.com/health
# Should return: {"status":"healthy"}
```
### Test Frontend
- Visit https://app.example.com
- You should see the Reflector interface
- Try uploading an audio file to test transcription
@@ -327,6 +346,7 @@ By default, Reflector is open (no login required). **Authentication is required
See [Authentication Setup](./auth-setup) for full Authentik OAuth configuration.
Quick summary:
1. Deploy Authentik on your server
2. Create OAuth provider in Authentik
3. Extract public key for JWT verification
@@ -358,6 +378,7 @@ DAILYCO_STORAGE_AWS_ROLE_ARN=<arn:aws:iam::ACCOUNT:role/DailyCo>
```
Reload env and restart:
```bash
docker compose -f docker-compose.prod.yml up -d server worker
```
@@ -367,35 +388,43 @@ docker compose -f docker-compose.prod.yml up -d server worker
## Troubleshooting
### Check logs for errors
```bash
docker compose -f docker-compose.prod.yml logs server --tail 20
docker compose -f docker-compose.prod.yml logs worker --tail 20
```
### Services won't start
```bash
docker compose -f docker-compose.prod.yml logs
```
### CORS errors in browser
- Verify `CORS_ORIGIN` in `server/.env` matches your frontend domain exactly (including `https://`)
- Reload env: `docker compose -f docker-compose.prod.yml up -d server`
### SSL certificate errors
### SSL certificate errors (when using Caddy)
- Caddy auto-provisions Let's Encrypt certificates
- Ensure ports 80 and 443 are open
- Ensure ports 80 and 443 are open and not used by another proxy
- Check: `docker compose -f docker-compose.prod.yml logs caddy`
- If port 80 is already in use (e.g. by Coolify), run without Caddy: `docker compose -f docker-compose.prod.yml up -d` and use your existing proxy
### Transcription not working
- Check Modal dashboard: https://modal.com/apps
- Verify URLs in `server/.env` match deployed functions
- Check worker logs: `docker compose -f docker-compose.prod.yml logs worker`
### "Login required" but auth not configured
- Set `FEATURE_REQUIRE_LOGIN=false` in `www/.env`
- Rebuild frontend: `docker compose -f docker-compose.prod.yml up -d --force-recreate web`
### Database migrations or connectivity issues
Migrations run automatically on server startup. To check database connectivity or debug migration failures:
```bash
@@ -408,4 +437,3 @@ docker compose -f docker-compose.prod.yml exec server uv run python -c "from ref
# Manually run migrations (if needed)
docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
```

View File

@@ -131,6 +131,15 @@ if [ -z "$DIARIZER_URL" ]; then
fi
echo " -> $DIARIZER_URL"
echo ""
echo "Deploying padding (CPU audio processing via Modal SDK)..."
modal deploy reflector_padding.py
if [ $? -ne 0 ]; then
echo "Error: Failed to deploy padding. Check Modal dashboard for details."
exit 1
fi
echo " -> reflector-padding.pad_track (Modal SDK function)"
# --- Output Configuration ---
echo ""
echo "=========================================="
@@ -147,4 +156,6 @@ echo ""
echo "DIARIZATION_BACKEND=modal"
echo "DIARIZATION_URL=$DIARIZER_URL"
echo "DIARIZATION_MODAL_API_KEY=$API_KEY"
echo ""
echo "# Padding uses Modal SDK (requires MODAL_TOKEN_ID/SECRET in worker containers)"
echo "# --- End Modal Configuration ---"

View File

@@ -0,0 +1,277 @@
"""
Reflector GPU backend - audio padding
======================================
CPU-intensive audio padding service for adding silence to audio tracks.
Uses PyAV filter graph (adelay) for precise track synchronization.
IMPORTANT: This padding logic is duplicated from server/reflector/utils/audio_padding.py
for Modal deployment isolation (Modal can't import from server/reflector/). If you modify
the PyAV filter graph or padding algorithm, you MUST update both:
- gpu/modal_deployments/reflector_padding.py (this file)
- server/reflector/utils/audio_padding.py
Constants duplicated from server/reflector/utils/audio_constants.py for same reason.
"""
import os
import tempfile
from fractions import Fraction
import math
import asyncio
import modal
S3_TIMEOUT = 60 # happens 2 times
PADDING_TIMEOUT = 600 + (S3_TIMEOUT * 2)
SCALEDOWN_WINDOW = 60 # The maximum duration (in seconds) that individual containers can remain idle when scaling down.
DISCONNECT_CHECK_INTERVAL = 2 # Check for client disconnect
app = modal.App("reflector-padding")
# CPU-based image
image = (
modal.Image.debian_slim(python_version="3.12")
.apt_install("ffmpeg") # Required by PyAV
.pip_install(
"av==13.1.0", # PyAV for audio processing
"requests==2.32.3", # HTTP for presigned URL downloads/uploads
"fastapi==0.115.12", # API framework
)
)
# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
OPUS_STANDARD_SAMPLE_RATE = 48000
# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
OPUS_DEFAULT_BIT_RATE = 128000
@app.function(
cpu=2.0,
timeout=PADDING_TIMEOUT,
scaledown_window=SCALEDOWN_WINDOW,
image=image,
)
@modal.asgi_app()
def web():
from fastapi import FastAPI, Request, HTTPException
from pydantic import BaseModel
class PaddingRequest(BaseModel):
track_url: str
output_url: str
start_time_seconds: float
track_index: int
class PaddingResponse(BaseModel):
size: int
cancelled: bool = False
web_app = FastAPI()
@web_app.post("/pad")
async def pad_track_endpoint(request: Request, req: PaddingRequest) -> PaddingResponse:
"""Modal web endpoint for padding audio tracks with disconnect detection.
"""
import logging
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger(__name__)
if not req.track_url:
raise HTTPException(status_code=400, detail="track_url cannot be empty")
if not req.output_url:
raise HTTPException(status_code=400, detail="output_url cannot be empty")
if req.start_time_seconds <= 0:
raise HTTPException(status_code=400, detail=f"start_time_seconds must be positive, got {req.start_time_seconds}")
if req.start_time_seconds > 18000:
raise HTTPException(status_code=400, detail=f"start_time_seconds exceeds maximum 18000s (5 hours)")
logger.info(f"Padding request: track {req.track_index}, delay={req.start_time_seconds}s")
# Thread-safe cancellation flag shared between async disconnect checker and blocking thread
import threading
cancelled = threading.Event()
async def check_disconnect():
"""Background task to check for client disconnect every 2 seconds."""
while not cancelled.is_set():
await asyncio.sleep(DISCONNECT_CHECK_INTERVAL)
if await request.is_disconnected():
logger.warning("Client disconnected, setting cancellation flag")
cancelled.set()
break
# Start disconnect checker in background
disconnect_task = asyncio.create_task(check_disconnect())
try:
result = await asyncio.get_event_loop().run_in_executor(
None, _pad_track_blocking, req, cancelled, logger
)
return PaddingResponse(**result)
finally:
cancelled.set()
disconnect_task.cancel()
try:
await disconnect_task
except asyncio.CancelledError:
pass
def _pad_track_blocking(req, cancelled, logger) -> dict:
"""Blocking CPU-bound padding work with periodic cancellation checks.
Args:
cancelled: threading.Event for thread-safe cancellation signaling
"""
import av
import requests
from av.audio.resampler import AudioResampler
import time
temp_dir = tempfile.mkdtemp()
input_path = None
output_path = None
last_check = time.time()
try:
logger.info("Downloading track for padding")
response = requests.get(req.track_url, stream=True, timeout=S3_TIMEOUT)
response.raise_for_status()
input_path = os.path.join(temp_dir, "track.webm")
total_bytes = 0
chunk_count = 0
with open(input_path, "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
f.write(chunk)
total_bytes += len(chunk)
chunk_count += 1
# Check for cancellation every arbitrary amount of chunks
if chunk_count % 12 == 0:
now = time.time()
if now - last_check >= DISCONNECT_CHECK_INTERVAL:
if cancelled.is_set():
logger.info("Cancelled during download, exiting early")
return {"size": 0, "cancelled": True}
last_check = now
logger.info(f"Track downloaded: {total_bytes} bytes")
if cancelled.is_set():
logger.info("Cancelled after download, exiting early")
return {"size": 0, "cancelled": True}
# Apply padding using PyAV
output_path = os.path.join(temp_dir, "padded.webm")
delay_ms = math.floor(req.start_time_seconds * 1000)
logger.info(f"Padding track {req.track_index} with {delay_ms}ms delay using PyAV")
in_container = av.open(input_path)
in_stream = next((s for s in in_container.streams if s.type == "audio"), None)
if in_stream is None:
raise ValueError("No audio stream in input")
with av.open(output_path, "w", format="webm") as out_container:
out_stream = out_container.add_stream("libopus", rate=OPUS_STANDARD_SAMPLE_RATE)
out_stream.bit_rate = OPUS_DEFAULT_BIT_RATE
graph = av.filter.Graph()
abuf_args = (
f"time_base=1/{OPUS_STANDARD_SAMPLE_RATE}:"
f"sample_rate={OPUS_STANDARD_SAMPLE_RATE}:"
f"sample_fmt=s16:"
f"channel_layout=stereo"
)
src = graph.add("abuffer", args=abuf_args, name="src")
aresample_f = graph.add("aresample", args="async=1", name="ares")
delays_arg = f"{delay_ms}|{delay_ms}"
adelay_f = graph.add("adelay", args=f"delays={delays_arg}:all=1", name="delay")
sink = graph.add("abuffersink", name="sink")
src.link_to(aresample_f)
aresample_f.link_to(adelay_f)
adelay_f.link_to(sink)
graph.configure()
resampler = AudioResampler(
format="s16", layout="stereo", rate=OPUS_STANDARD_SAMPLE_RATE
)
for frame in in_container.decode(in_stream):
# Check for cancellation periodically
now = time.time()
if now - last_check >= DISCONNECT_CHECK_INTERVAL:
if cancelled.is_set():
logger.info("Cancelled during processing, exiting early")
in_container.close()
return {"size": 0, "cancelled": True}
last_check = now
out_frames = resampler.resample(frame) or []
for rframe in out_frames:
rframe.sample_rate = OPUS_STANDARD_SAMPLE_RATE
rframe.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
src.push(rframe)
while True:
try:
f_out = sink.pull()
except Exception:
break
f_out.sample_rate = OPUS_STANDARD_SAMPLE_RATE
f_out.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
for packet in out_stream.encode(f_out):
out_container.mux(packet)
# Flush filter graph
src.push(None)
while True:
try:
f_out = sink.pull()
except Exception:
break
f_out.sample_rate = OPUS_STANDARD_SAMPLE_RATE
f_out.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
for packet in out_stream.encode(f_out):
out_container.mux(packet)
# Flush encoder
for packet in out_stream.encode(None):
out_container.mux(packet)
in_container.close()
file_size = os.path.getsize(output_path)
logger.info(f"Padding complete: {file_size} bytes")
logger.info("Uploading padded track to S3")
with open(output_path, "rb") as f:
upload_response = requests.put(req.output_url, data=f, timeout=S3_TIMEOUT)
upload_response.raise_for_status()
logger.info(f"Upload complete: {file_size} bytes")
return {"size": file_size}
finally:
if input_path and os.path.exists(input_path):
try:
os.unlink(input_path)
except Exception as e:
logger.warning(f"Failed to cleanup input file: {e}")
if output_path and os.path.exists(output_path):
try:
os.unlink(output_path)
except Exception as e:
logger.warning(f"Failed to cleanup output file: {e}")
try:
os.rmdir(temp_dir)
except Exception as e:
logger.warning(f"Failed to cleanup temp directory: {e}")
return web_app

View File

@@ -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"]

View File

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

View File

@@ -8,7 +8,7 @@ readme = "README.md"
dependencies = [
"aiohttp>=3.9.0",
"aiohttp-cors>=0.7.0",
"av>=10.0.0",
"av>=15.0.0",
"requests>=2.31.0",
"aiortc>=1.5.0",
"sortedcontainers>=2.4.0",

View File

@@ -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)

View File

@@ -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:

View File

@@ -245,6 +245,11 @@ 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

View File

@@ -35,7 +35,9 @@ LLM_RATE_LIMIT_PER_SECOND = 10
# Task execution timeouts (seconds)
TIMEOUT_SHORT = 60 # Quick operations: API calls, DB updates
TIMEOUT_MEDIUM = 120 # Single LLM calls, waveform generation
TIMEOUT_MEDIUM = (
300 # Single LLM calls, waveform generation (5m for slow LLM responses)
)
TIMEOUT_LONG = 180 # Action items (larger context LLM)
TIMEOUT_AUDIO = 300 # Audio processing: padding, mixdown
TIMEOUT_AUDIO = 720 # Audio processing: padding, mixdown
TIMEOUT_HEAVY = 600 # Transcription, fan-out LLM tasks

View File

@@ -322,6 +322,7 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
mtg_session_id = recording.mtg_session_id
async with fresh_db_connection():
from reflector.db.transcripts import ( # noqa: PLC0415
TranscriptDuration,
TranscriptParticipant,
transcripts_controller,
)
@@ -330,15 +331,26 @@ async def get_participants(input: PipelineInput, ctx: Context) -> ParticipantsRe
if not transcript:
raise ValueError(f"Transcript {input.transcript_id} not found")
# Note: title NOT cleared - preserves existing titles
# Duration from Daily API (seconds -> milliseconds) - master source
duration_ms = recording.duration * 1000 if recording.duration else 0
await transcripts_controller.update(
transcript,
{
"events": [],
"topics": [],
"participants": [],
"duration": duration_ms,
},
)
await append_event_and_broadcast(
input.transcript_id,
transcript,
"DURATION",
TranscriptDuration(duration=duration_ms),
logger=logger,
)
mtg_session_id = assert_non_none_and_non_empty(
mtg_session_id, "mtg_session_id is required"
)
@@ -1095,7 +1107,7 @@ async def identify_action_items(
@daily_multitrack_pipeline.task(
parents=[generate_title, generate_recap, identify_action_items],
parents=[process_tracks, generate_title, generate_recap, identify_action_items],
execution_timeout=timedelta(seconds=TIMEOUT_SHORT),
retries=3,
)
@@ -1108,12 +1120,8 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
"""
ctx.log("finalize: saving transcript and setting status to 'ended'")
mixdown_result = ctx.task_output(mixdown_tracks)
track_result = ctx.task_output(process_tracks)
duration = mixdown_result.duration
all_words = track_result.all_words
# Cleanup temporary padded S3 files (deferred until finalize for semantic parity with Celery)
created_padded_files = track_result.created_padded_files
if created_padded_files:
@@ -1133,7 +1141,6 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
async with fresh_db_connection():
from reflector.db.transcripts import ( # noqa: PLC0415
TranscriptDuration,
TranscriptText,
transcripts_controller,
)
@@ -1142,8 +1149,6 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
if transcript is None:
raise ValueError(f"Transcript {input.transcript_id} not found in database")
merged_transcript = TranscriptType(words=all_words, translation=None)
await append_event_and_broadcast(
input.transcript_id,
transcript,
@@ -1155,21 +1160,15 @@ async def finalize(input: PipelineInput, ctx: Context) -> FinalizeResult:
logger=logger,
)
# Save duration and clear workflow_run_id (workflow completed successfully)
# Note: title/long_summary/short_summary already saved by their callbacks
# Clear workflow_run_id (workflow completed successfully)
# Note: title/long_summary/short_summary/duration already saved by their callbacks
await transcripts_controller.update(
transcript,
{
"duration": duration,
"workflow_run_id": None, # Clear on success - no need to resume
},
)
duration_data = TranscriptDuration(duration=duration)
await append_event_and_broadcast(
input.transcript_id, transcript, "DURATION", duration_data, logger=logger
)
await set_status_and_broadcast(input.transcript_id, "ended", logger=logger)
ctx.log(

View File

@@ -0,0 +1,165 @@
"""
Hatchet child workflow: PaddingWorkflow
Handles individual audio track padding via Modal.com backend.
"""
from datetime import timedelta
import av
from hatchet_sdk import Context
from pydantic import BaseModel
from reflector.hatchet.client import HatchetClientManager
from reflector.hatchet.constants import TIMEOUT_AUDIO
from reflector.hatchet.workflows.models import PadTrackResult
from reflector.logger import logger
from reflector.utils.audio_constants import PRESIGNED_URL_EXPIRATION_SECONDS
from reflector.utils.audio_padding import extract_stream_start_time_from_container
class PaddingInput(BaseModel):
"""Input for individual track padding."""
track_index: int
s3_key: str
bucket_name: str
transcript_id: str
hatchet = HatchetClientManager.get_client()
padding_workflow = hatchet.workflow(
name="PaddingWorkflow", input_validator=PaddingInput
)
@padding_workflow.task(execution_timeout=timedelta(seconds=TIMEOUT_AUDIO), retries=3)
async def pad_track(input: PaddingInput, ctx: Context) -> PadTrackResult:
"""Pad audio track with silence based on WebM container start_time."""
ctx.log(f"pad_track: track {input.track_index}, s3_key={input.s3_key}")
logger.info(
"[Hatchet] pad_track",
track_index=input.track_index,
s3_key=input.s3_key,
transcript_id=input.transcript_id,
)
try:
# Create fresh storage instance to avoid aioboto3 fork issues
from reflector.settings import settings # noqa: PLC0415
from reflector.storage.storage_aws import AwsStorage # noqa: PLC0415
storage = AwsStorage(
aws_bucket_name=settings.TRANSCRIPT_STORAGE_AWS_BUCKET_NAME,
aws_region=settings.TRANSCRIPT_STORAGE_AWS_REGION,
aws_access_key_id=settings.TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID,
aws_secret_access_key=settings.TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY,
)
source_url = await storage.get_file_url(
input.s3_key,
operation="get_object",
expires_in=PRESIGNED_URL_EXPIRATION_SECONDS,
bucket=input.bucket_name,
)
# Extract start_time to determine if padding needed
with av.open(source_url) as in_container:
if in_container.duration:
try:
duration = timedelta(seconds=in_container.duration // 1_000_000)
ctx.log(
f"pad_track: track {input.track_index}, duration={duration}"
)
except (ValueError, TypeError, OverflowError) as e:
ctx.log(
f"pad_track: track {input.track_index}, duration error: {str(e)}"
)
start_time_seconds = extract_stream_start_time_from_container(
in_container, input.track_index, logger=logger
)
if start_time_seconds <= 0:
logger.info(
f"Track {input.track_index} requires no padding",
track_index=input.track_index,
)
return PadTrackResult(
padded_key=input.s3_key,
bucket_name=input.bucket_name,
size=0,
track_index=input.track_index,
)
storage_path = f"file_pipeline_hatchet/{input.transcript_id}/tracks/padded_{input.track_index}.webm"
# Presign PUT URL for output (Modal will upload directly)
output_url = await storage.get_file_url(
storage_path,
operation="put_object",
expires_in=PRESIGNED_URL_EXPIRATION_SECONDS,
)
import httpx # noqa: PLC0415
from reflector.processors.audio_padding_modal import ( # noqa: PLC0415
AudioPaddingModalProcessor,
)
try:
processor = AudioPaddingModalProcessor()
result = await processor.pad_track(
track_url=source_url,
output_url=output_url,
start_time_seconds=start_time_seconds,
track_index=input.track_index,
)
file_size = result.size
ctx.log(f"pad_track: Modal returned size={file_size}")
except httpx.HTTPStatusError as e:
error_detail = e.response.text if hasattr(e.response, "text") else str(e)
logger.error(
"[Hatchet] Modal padding HTTP error",
transcript_id=input.transcript_id,
track_index=input.track_index,
status_code=e.response.status_code if hasattr(e, "response") else None,
error=error_detail,
exc_info=True,
)
raise Exception(
f"Modal padding failed: HTTP {e.response.status_code}"
) from e
except httpx.TimeoutException as e:
logger.error(
"[Hatchet] Modal padding timeout",
transcript_id=input.transcript_id,
track_index=input.track_index,
error=str(e),
exc_info=True,
)
raise Exception("Modal padding timeout") from e
logger.info(
"[Hatchet] pad_track complete",
track_index=input.track_index,
padded_key=storage_path,
)
return PadTrackResult(
padded_key=storage_path,
bucket_name=None, # None = use default transcript storage bucket
size=file_size,
track_index=input.track_index,
)
except Exception as e:
logger.error(
"[Hatchet] pad_track failed",
transcript_id=input.transcript_id,
track_index=input.track_index,
error=str(e),
exc_info=True,
)
raise

View File

@@ -14,9 +14,7 @@ Hatchet workers run in forked processes; fresh imports per task ensure
storage/DB connections are not shared across forks.
"""
import tempfile
from datetime import timedelta
from pathlib import Path
import av
from hatchet_sdk import Context
@@ -27,10 +25,7 @@ from reflector.hatchet.constants import TIMEOUT_AUDIO, TIMEOUT_HEAVY
from reflector.hatchet.workflows.models import PadTrackResult, TranscribeTrackResult
from reflector.logger import logger
from reflector.utils.audio_constants import PRESIGNED_URL_EXPIRATION_SECONDS
from reflector.utils.audio_padding import (
apply_audio_padding_to_file,
extract_stream_start_time_from_container,
)
from reflector.utils.audio_padding import extract_stream_start_time_from_container
class TrackInput(BaseModel):
@@ -83,63 +78,44 @@ async def pad_track(input: TrackInput, ctx: Context) -> PadTrackResult:
)
with av.open(source_url) as in_container:
if in_container.duration:
try:
duration = timedelta(seconds=in_container.duration // 1_000_000)
ctx.log(
f"pad_track: track {input.track_index}, duration={duration}"
)
except Exception:
ctx.log(f"pad_track: track {input.track_index}, duration=ERROR")
start_time_seconds = extract_stream_start_time_from_container(
in_container, input.track_index, logger=logger
)
# If no padding needed, return original S3 key
if start_time_seconds <= 0:
logger.info(
f"Track {input.track_index} requires no padding",
track_index=input.track_index,
)
return PadTrackResult(
padded_key=input.s3_key,
bucket_name=input.bucket_name,
size=0,
track_index=input.track_index,
)
# If no padding needed, return original S3 key
if start_time_seconds <= 0:
logger.info(
f"Track {input.track_index} requires no padding",
track_index=input.track_index,
)
return PadTrackResult(
padded_key=input.s3_key,
bucket_name=input.bucket_name,
size=0,
track_index=input.track_index,
)
with tempfile.NamedTemporaryFile(suffix=".webm", delete=False) as temp_file:
temp_path = temp_file.name
storage_path = f"file_pipeline_hatchet/{input.transcript_id}/tracks/padded_{input.track_index}.webm"
try:
apply_audio_padding_to_file(
in_container,
temp_path,
start_time_seconds,
input.track_index,
logger=logger,
)
# Presign PUT URL for output (Modal uploads directly)
output_url = await storage.get_file_url(
storage_path,
operation="put_object",
expires_in=PRESIGNED_URL_EXPIRATION_SECONDS,
)
file_size = Path(temp_path).stat().st_size
storage_path = f"file_pipeline_hatchet/{input.transcript_id}/tracks/padded_{input.track_index}.webm"
from reflector.processors.audio_padding_modal import ( # noqa: PLC0415
AudioPaddingModalProcessor,
)
logger.info(
f"About to upload padded track",
key=storage_path,
size=file_size,
)
with open(temp_path, "rb") as padded_file:
await storage.put_file(storage_path, padded_file)
logger.info(
f"Uploaded padded track to S3",
key=storage_path,
size=file_size,
)
finally:
Path(temp_path).unlink(missing_ok=True)
processor = AudioPaddingModalProcessor()
result = await processor.pad_track(
track_url=source_url,
output_url=output_url,
start_time_seconds=start_time_seconds,
track_index=input.track_index,
)
file_size = result.size
ctx.log(f"pad_track complete: track {input.track_index} -> {storage_path}")
logger.info(

View File

@@ -0,0 +1,113 @@
"""
Modal.com backend for audio padding.
"""
import asyncio
import os
import httpx
from pydantic import BaseModel
from reflector.hatchet.constants import TIMEOUT_AUDIO
from reflector.logger import logger
class PaddingResponse(BaseModel):
size: int
cancelled: bool = False
class AudioPaddingModalProcessor:
"""Audio padding processor using Modal.com CPU backend via HTTP."""
def __init__(
self, padding_url: str | None = None, modal_api_key: str | None = None
):
self.padding_url = padding_url or os.getenv("PADDING_URL")
if not self.padding_url:
raise ValueError(
"PADDING_URL required to use AudioPaddingModalProcessor. "
"Set PADDING_URL environment variable or pass padding_url parameter."
)
self.modal_api_key = modal_api_key or os.getenv("MODAL_API_KEY")
async def pad_track(
self,
track_url: str,
output_url: str,
start_time_seconds: float,
track_index: int,
) -> PaddingResponse:
"""Pad audio track with silence via Modal backend.
Args:
track_url: Presigned GET URL for source audio track
output_url: Presigned PUT URL for output WebM
start_time_seconds: Amount of silence to prepend
track_index: Track index for logging
"""
if not track_url:
raise ValueError("track_url cannot be empty")
if start_time_seconds <= 0:
raise ValueError(
f"start_time_seconds must be positive, got {start_time_seconds}"
)
log = logger.bind(track_index=track_index, padding_seconds=start_time_seconds)
log.info("Sending Modal padding HTTP request")
url = f"{self.padding_url}/pad"
headers = {}
if self.modal_api_key:
headers["Authorization"] = f"Bearer {self.modal_api_key}"
try:
async with httpx.AsyncClient(timeout=TIMEOUT_AUDIO) as client:
response = await client.post(
url,
headers=headers,
json={
"track_url": track_url,
"output_url": output_url,
"start_time_seconds": start_time_seconds,
"track_index": track_index,
},
follow_redirects=True,
)
if response.status_code != 200:
error_body = response.text
log.error(
"Modal padding API error",
status_code=response.status_code,
error_body=error_body,
)
response.raise_for_status()
result = response.json()
# Check if work was cancelled
if result.get("cancelled"):
log.warning("Modal padding was cancelled by disconnect detection")
raise asyncio.CancelledError(
"Padding cancelled due to client disconnect"
)
log.info("Modal padding complete", size=result["size"])
return PaddingResponse(**result)
except asyncio.CancelledError:
log.warning(
"Modal padding cancelled (Hatchet timeout, disconnect detected on Modal side)"
)
raise
except httpx.TimeoutException as e:
log.error("Modal padding timeout", error=str(e), exc_info=True)
raise Exception(f"Modal padding timeout: {e}") from e
except httpx.HTTPStatusError as e:
log.error("Modal padding HTTP error", error=str(e), exc_info=True)
raise Exception(f"Modal padding HTTP error: {e}") from e
except Exception as e:
log.error("Modal padding unexpected error", error=str(e), exc_info=True)
raise

View File

@@ -98,6 +98,10 @@ class Settings(BaseSettings):
# Diarization: local pyannote.audio
DIARIZATION_PYANNOTE_AUTH_TOKEN: str | None = None
# Audio Padding (Modal.com backend)
PADDING_URL: str | None = None
PADDING_MODAL_API_KEY: str | None = None
# Sentry
SENTRY_DSN: str | None = None

View File

@@ -5,7 +5,9 @@ Used by both Hatchet workflows and Celery pipelines for consistent audio encodin
"""
# Opus codec settings
# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
OPUS_STANDARD_SAMPLE_RATE = 48000
# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
OPUS_DEFAULT_BIT_RATE = 128000 # 128kbps for good speech quality
# S3 presigned URL expiration

View File

@@ -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 +198,82 @@ 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)],
):
if not user and not settings.PUBLIC_MODE:
raise HTTPException(status_code=401, detail="Not authenticated")
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())
if not room_ids:
return {
name: RoomMeetingStatus(active_meetings=[], upcoming_events=[])
for name in request.room_names
}
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, converting DB models to view models
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,

View File

@@ -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

View File

@@ -1,6 +1,5 @@
import os
from contextlib import asynccontextmanager
from tempfile import NamedTemporaryFile
from unittest.mock import patch
import pytest
@@ -333,11 +332,14 @@ 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 +372,12 @@ 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

View File

@@ -0,0 +1,184 @@
from datetime import datetime, timedelta, timezone
import pytest
from conftest import authenticated_client_ctx
from reflector.db.calendar_events import CalendarEvent, calendar_events_controller
from reflector.db.meetings import meetings_controller
from reflector.db.rooms import Room, rooms_controller
from reflector.settings import settings
async def _create_room(name: str, user_id: str, is_shared: bool = False) -> Room:
return await rooms_controller.add(
name=name,
user_id=user_id,
zulip_auto_post=False,
zulip_stream="",
zulip_topic="",
is_locked=False,
room_mode="normal",
recording_type="cloud",
recording_trigger="automatic-2nd-participant",
is_shared=is_shared,
webhook_url="",
webhook_secret="",
)
async def _create_meeting(room: Room, active: bool = True):
now = datetime.now(timezone.utc)
return await meetings_controller.create(
id=f"meeting-{room.name}-{now.timestamp()}",
room_name=room.name,
room_url="room-url",
host_room_url="host-url",
start_date=now - timedelta(minutes=10),
end_date=now + timedelta(minutes=50) if active else now - timedelta(minutes=1),
room=room,
)
async def _create_calendar_event(room: Room):
now = datetime.now(timezone.utc)
return await calendar_events_controller.upsert(
CalendarEvent(
room_id=room.id,
ics_uid=f"event-{room.name}",
title=f"Upcoming in {room.name}",
description="secret description",
start_time=now + timedelta(minutes=30),
end_time=now + timedelta(minutes=90),
attendees=[{"name": "Alice", "email": "alice@example.com"}],
)
)
@pytest.mark.asyncio
async def test_bulk_status_returns_empty_for_no_rooms(client):
"""Empty room_names returns empty dict."""
async with authenticated_client_ctx():
resp = await client.post("/rooms/meetings/bulk-status", json={"room_names": []})
assert resp.status_code == 200
assert resp.json() == {}
@pytest.mark.asyncio
async def test_bulk_status_returns_active_meetings_and_upcoming_events(client):
"""Owner sees active meetings and upcoming events for their rooms."""
room = await _create_room("bulk-test-room", "randomuserid")
await _create_meeting(room, active=True)
await _create_calendar_event(room)
async with authenticated_client_ctx():
resp = await client.post(
"/rooms/meetings/bulk-status",
json={"room_names": ["bulk-test-room"]},
)
assert resp.status_code == 200
data = resp.json()
assert "bulk-test-room" in data
status = data["bulk-test-room"]
assert len(status["active_meetings"]) == 1
assert len(status["upcoming_events"]) == 1
# Owner sees description
assert status["upcoming_events"][0]["description"] == "secret description"
@pytest.mark.asyncio
async def test_bulk_status_redacts_data_for_non_owner(client):
"""Non-owner of a shared room gets redacted calendar events and no whereby host_room_url."""
room = await _create_room("shared-bulk", "other-user-id", is_shared=True)
await _create_meeting(room, active=True)
await _create_calendar_event(room)
# authenticated as "randomuserid" but room owned by "other-user-id"
async with authenticated_client_ctx():
resp = await client.post(
"/rooms/meetings/bulk-status",
json={"room_names": ["shared-bulk"]},
)
assert resp.status_code == 200
status = resp.json()["shared-bulk"]
assert len(status["active_meetings"]) == 1
assert len(status["upcoming_events"]) == 1
# Non-owner: description and attendees redacted
assert status["upcoming_events"][0]["description"] is None
assert status["upcoming_events"][0]["attendees"] is None
@pytest.mark.asyncio
async def test_bulk_status_filters_private_rooms_of_other_users(client):
"""User cannot see private rooms owned by others."""
await _create_room("private-other", "other-user-id", is_shared=False)
async with authenticated_client_ctx():
resp = await client.post(
"/rooms/meetings/bulk-status",
json={"room_names": ["private-other"]},
)
assert resp.status_code == 200
status = resp.json()["private-other"]
assert status["active_meetings"] == []
assert status["upcoming_events"] == []
@pytest.mark.asyncio
async def test_bulk_status_redacts_whereby_host_room_url_for_non_owner(client):
"""Non-owner of a shared whereby room gets empty host_room_url."""
room = await _create_room("shared-whereby", "other-user-id", is_shared=True)
# Force platform to whereby
from reflector.db import get_database
from reflector.db.rooms import rooms as rooms_table
await get_database().execute(
rooms_table.update()
.where(rooms_table.c.id == room.id)
.values(platform="whereby")
)
await _create_meeting(room, active=True)
async with authenticated_client_ctx():
resp = await client.post(
"/rooms/meetings/bulk-status",
json={"room_names": ["shared-whereby"]},
)
assert resp.status_code == 200
status = resp.json()["shared-whereby"]
assert len(status["active_meetings"]) == 1
assert status["active_meetings"][0]["host_room_url"] == ""
@pytest.mark.asyncio
async def test_bulk_status_unauthenticated_rejected_non_public(client):
"""Unauthenticated request on non-PUBLIC_MODE instance returns 401."""
original = settings.PUBLIC_MODE
try:
settings.PUBLIC_MODE = False
resp = await client.post(
"/rooms/meetings/bulk-status",
json={"room_names": ["any-room"]},
)
assert resp.status_code == 401
finally:
settings.PUBLIC_MODE = original
@pytest.mark.asyncio
async def test_bulk_status_nonexistent_room_returns_empty(client):
"""Requesting a room that doesn't exist returns empty lists."""
async with authenticated_client_ctx():
resp = await client.post(
"/rooms/meetings/bulk-status",
json={"room_names": ["does-not-exist"]},
)
assert resp.status_code == 200
status = resp.json()["does-not-exist"]
assert status["active_meetings"] == []
assert status["upcoming_events"] == []

View File

@@ -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")

View File

@@ -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"})

45
server/uv.lock generated
View File

@@ -159,21 +159,20 @@ wheels = [
[[package]]
name = "aiortc"
version = "1.13.0"
version = "1.14.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aioice" },
{ name = "av" },
{ name = "cffi" },
{ name = "cryptography" },
{ name = "google-crc32c" },
{ name = "pyee" },
{ name = "pylibsrtp" },
{ name = "pyopenssl" },
]
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wheels = [
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[[package]]
@@ -327,28 +326,24 @@ wheels = [
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name = "av"
version = "14.4.0"
version = "16.1.0"
source = { registry = "https://pypi.org/simple" }
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]
[[package]]
@@ -3267,7 +3262,7 @@ requires-dist = [
{ name = "aiohttp-cors", specifier = ">=0.7.0" },
{ name = "aiortc", specifier = ">=1.5.0" },
{ name = "alembic", specifier = ">=1.11.3" },
{ name = "av", specifier = ">=10.0.0" },
{ name = "av", specifier = ">=15.0.0" },
{ name = "celery", specifier = ">=5.3.4" },
{ name = "databases", extras = ["aiosqlite", "asyncpg"], specifier = ">=0.7.0" },
{ name = "fastapi", extras = ["standard"], specifier = ">=0.100.1" },

View File

@@ -1,5 +1,10 @@
import { useMemo } from "react";
import { Box, Heading, Text, VStack } from "@chakra-ui/react";
import type { components } from "../../../reflector-api";
import {
useRoomsBulkMeetingStatus,
BulkMeetingStatusMap,
} from "../../../lib/apiHooks";
type Room = components["schemas"]["Room"];
import { RoomTable } from "./RoomTable";
@@ -31,6 +36,10 @@ export function RoomList({
pt,
loading,
}: RoomListProps) {
const roomNames = useMemo(() => rooms.map((r) => r.name), [rooms]);
const bulkStatusQuery = useRoomsBulkMeetingStatus(roomNames);
const meetingStatusMap: BulkMeetingStatusMap = bulkStatusQuery.data ?? {};
return (
<VStack alignItems="start" gap={4} mb={mb} pt={pt}>
<Heading size="md">{title}</Heading>
@@ -43,6 +52,8 @@ export function RoomList({
onEdit={onEdit}
onDelete={onDelete}
loading={loading}
meetingStatusMap={meetingStatusMap}
meetingStatusLoading={bulkStatusQuery.isLoading}
/>
<RoomCards
rooms={rooms}

View File

@@ -14,11 +14,7 @@ import {
import { LuLink, LuRefreshCw } from "react-icons/lu";
import { FaCalendarAlt } from "react-icons/fa";
import type { components } from "../../../reflector-api";
import {
useRoomActiveMeetings,
useRoomUpcomingMeetings,
useRoomIcsSync,
} from "../../../lib/apiHooks";
import { useRoomIcsSync, BulkMeetingStatusMap } from "../../../lib/apiHooks";
type Room = components["schemas"]["Room"];
type Meeting = components["schemas"]["Meeting"];
@@ -62,6 +58,8 @@ interface RoomTableProps {
onEdit: (roomId: string, roomData: any) => void;
onDelete: (roomId: string) => void;
loading?: boolean;
meetingStatusMap: BulkMeetingStatusMap;
meetingStatusLoading: boolean;
}
const getRoomModeDisplay = (mode: string): string => {
@@ -104,14 +102,16 @@ const getZulipDisplay = (
return "Enabled";
};
function MeetingStatus({ roomName }: { roomName: string }) {
const activeMeetingsQuery = useRoomActiveMeetings(roomName);
const upcomingMeetingsQuery = useRoomUpcomingMeetings(roomName);
const activeMeetings = activeMeetingsQuery.data || [];
const upcomingMeetings = upcomingMeetingsQuery.data || [];
if (activeMeetingsQuery.isLoading || upcomingMeetingsQuery.isLoading) {
function MeetingStatus({
activeMeetings,
upcomingMeetings,
isLoading,
}: {
activeMeetings: Meeting[];
upcomingMeetings: CalendarEventResponse[];
isLoading: boolean;
}) {
if (isLoading) {
return <Spinner size="sm" />;
}
@@ -176,6 +176,8 @@ export function RoomTable({
onEdit,
onDelete,
loading,
meetingStatusMap,
meetingStatusLoading,
}: RoomTableProps) {
const [syncingRooms, setSyncingRooms] = useState<Set<NonEmptyString>>(
new Set(),
@@ -252,7 +254,15 @@ export function RoomTable({
<Link href={`/${room.name}`}>{room.name}</Link>
</Table.Cell>
<Table.Cell>
<MeetingStatus roomName={room.name} />
<MeetingStatus
activeMeetings={
meetingStatusMap[room.name]?.active_meetings ?? []
}
upcomingMeetings={
meetingStatusMap[room.name]?.upcoming_events ?? []
}
isLoading={meetingStatusLoading}
/>
</Table.Cell>
<Table.Cell>
{getZulipDisplay(

View File

@@ -0,0 +1,246 @@
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",
}),
}));
// --- Imports (after mocks) ---
import React from "react";
import { render, waitFor, screen } from "@testing-library/react";
import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
import { useRoomsBulkMeetingStatus, BulkMeetingStatusMap } 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: uses the bulk hook and displays results ---
function BulkStatusDisplay({ roomNames }: { roomNames: string[] }) {
const { data, isLoading } = useRoomsBulkMeetingStatus(roomNames);
if (isLoading) {
return <div data-testid="status">loading</div>;
}
if (!data) {
return <div data-testid="status">no data</div>;
}
return (
<div data-testid="status">
{roomNames.map((name) => {
const status = data[name];
return (
<div key={name} data-testid={`room-${name}`}>
{status?.active_meetings?.length ?? 0} active,{" "}
{status?.upcoming_events?.length ?? 0} upcoming
</div>
);
})}
</div>
);
}
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("bulk meeting status (prop-drilling)", () => {
afterEach(() => jest.clearAllMocks());
it("fetches all room statuses in a single POST request", async () => {
const rooms = Array.from({ length: 10 }, (_, i) => `room-${i}`);
mockBulkStatusEndpoint();
render(<BulkStatusDisplay roomNames={rooms} />, {
wrapper: createWrapper(),
});
await waitFor(() => {
for (const name of rooms) {
expect(screen.getByTestId(`room-${name}`)).toHaveTextContent(
"0 active, 0 upcoming",
);
}
});
const postCalls = mockClient.POST.mock.calls.filter(
([path]: [string]) => path === "/v1/rooms/meetings/bulk-status",
);
// Prop-drilling: exactly 1 POST for all rooms (no batcher needed)
expect(postCalls).toHaveLength(1);
// The single call contains all room names
const requestedRooms: string[] = postCalls[0][1].body.room_names;
expect(requestedRooms).toHaveLength(10);
for (const name of rooms) {
expect(requestedRooms).toContain(name);
}
});
it("returns room-specific data correctly", 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(<BulkStatusDisplay 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",
);
});
// Still just 1 POST
expect(mockClient.POST).toHaveBeenCalledTimes(1);
});
it("does not fetch when roomNames is empty", async () => {
mockBulkStatusEndpoint();
render(<BulkStatusDisplay roomNames={[]} />, {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(screen.getByTestId("status")).toHaveTextContent("no data");
});
// No POST calls when no rooms
expect(mockClient.POST).not.toHaveBeenCalled();
});
it("surfaces error when POST fails", async () => {
mockClient.POST.mockResolvedValue({
data: undefined,
error: { detail: "server error" },
response: {},
});
function ErrorDisplay({ roomNames }: { roomNames: string[] }) {
const { error } = useRoomsBulkMeetingStatus(roomNames);
if (error) return <div data-testid="error">{error.message}</div>;
return <div data-testid="error">no error</div>;
}
render(<ErrorDisplay roomNames={["room-x"]} />, {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(screen.getByTestId("error")).toHaveTextContent(
"bulk-status fetch failed",
);
});
});
it("does not fetch when unauthenticated", async () => {
// Override useAuth to return unauthenticated
const authModule = jest.requireMock("../AuthProvider");
const originalUseAuth = authModule.useAuth;
authModule.useAuth = () => ({
...originalUseAuth(),
status: "unauthenticated",
});
mockBulkStatusEndpoint();
render(<BulkStatusDisplay roomNames={["room-1"]} />, {
wrapper: createWrapper(),
});
await waitFor(() => {
expect(screen.getByTestId("status")).toHaveTextContent("no data");
});
expect(mockClient.POST).not.toHaveBeenCalled();
// Restore
authModule.useAuth = originalUseAuth;
});
});

View File

@@ -1,8 +1,8 @@
"use client";
import { $api } from "./apiClient";
import { $api, client } 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 { MeetingId } from "./types";
@@ -641,16 +641,21 @@ export function useMeetingDeactivate() {
setError(error as Error, "Failed to end meeting");
},
onSuccess: () => {
return queryClient.invalidateQueries({
predicate: (query) => {
const key = query.queryKey;
return key.some(
(k) =>
typeof k === "string" &&
!!MEETING_LIST_PATH_PARTIALS.find((e) => k.includes(e)),
);
},
});
return Promise.all([
queryClient.invalidateQueries({
predicate: (query) => {
const key = query.queryKey;
return key.some(
(k) =>
typeof k === "string" &&
!!MEETING_LIST_PATH_PARTIALS.find((e) => k.includes(e)),
);
},
}),
queryClient.invalidateQueries({
queryKey: ["bulk-meeting-status"],
}),
]);
},
});
}
@@ -707,6 +712,9 @@ export function useRoomsCreateMeeting() {
},
).queryKey,
}),
queryClient.invalidateQueries({
queryKey: ["bulk-meeting-status"],
}),
]);
},
onError: (error) => {
@@ -772,6 +780,32 @@ export function useRoomActiveMeetings(roomName: string | null) {
);
}
type RoomMeetingStatus = components["schemas"]["RoomMeetingStatus"];
export type BulkMeetingStatusMap = Partial<Record<string, RoomMeetingStatus>>;
export function useRoomsBulkMeetingStatus(roomNames: string[]) {
const { isAuthenticated } = useAuthReady();
const sortedNames = [...roomNames].sort();
return useQuery({
queryKey: ["bulk-meeting-status", sortedNames],
queryFn: async (): Promise<BulkMeetingStatusMap> => {
const { data, error } = await client.POST(
"/v1/rooms/meetings/bulk-status",
{ body: { room_names: roomNames } },
);
if (error || !data) {
throw new Error(
`bulk-status fetch failed: ${JSON.stringify(error ?? "no data")}`,
);
}
return data;
},
enabled: sortedNames.length > 0 && isAuthenticated,
});
}
export function useRoomGetMeeting(
roomName: string | null,
meetingId: MeetingId | null,

View File

@@ -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 */
@@ -1675,6 +1697,13 @@ export interface components {
*/
skip_consent: boolean;
};
/** RoomMeetingStatus */
RoomMeetingStatus: {
/** Active Meetings */
active_meetings: components["schemas"]["Meeting"][];
/** Upcoming Events */
upcoming_events: components["schemas"]["CalendarEventResponse"][];
};
/** RoomDetails */
RoomDetails: {
/** Id */
@@ -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;

View File

@@ -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"],
},
},
],
},
};

View File

@@ -61,9 +61,13 @@
"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"

787
www/pnpm-lock.yaml generated

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