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Author SHA1 Message Date
legop3 79d36cae93 update donecharging wav sound
Container image / image (push) Failing after 1m4s
2026-10-18 14:52:27 -04:00
legop3 1dcd7e5d7d add beeps for overcurrent, HELP clear, and low battery 2026-10-18 14:32:59 -04:00
legop3 b4bc99ab27 add server access node to battery embed 2026-10-18 14:22:36 -04:00
legop3 c94e1a0508 change request to switch
Container image / image (push) Failing after 59s
2026-10-09 18:44:50 -04:00
legop3 abcb0871b2 allowed to leave is now used in the web UI to show and hide request / open buttons and trigger popup when leaving the page 2026-10-09 18:30:10 -04:00
legop3 1ffe680895 redoing dock your rover popup thingy
Container image / image (push) Failing after 56s
2026-10-09 17:27:55 -04:00
legop3 ed26b90384 Merge pull request #32 from legop3/FEAT-announcer-audio-stream
Feat announcer audio stream
2026-10-09 14:42:52 -04:00
legop3 2b48fee00f do it properly with the mediamtx giant publisher file that no one maintains a package of for some god forsaken reason agh
Container image / image (push) Failing after 57s
2026-10-09 14:25:09 -04:00
legop3 1284125fff turning into redoing all of the webrtc reading and publishing client side lol 2026-10-09 14:19:06 -04:00
legop3 28d0b1437d guh stupid
Container image / image (push) Failing after 58s
2026-10-08 13:21:23 -04:00
legop3 9d3b8df4bf cleanupses 2026-10-08 13:05:41 -04:00
legop3 9d42cb5581 fix replay command oopsie unrelated 2026-10-08 12:53:32 -04:00
legop3 e670226f8c PTT mode for mic page 2026-10-08 12:48:22 -04:00
legop3 0669f29a4a add webrtc port config so i can test it right lol 2026-10-08 00:33:12 -04:00
legop3 38d3465bf8 room audio 2026-10-08 00:11:32 -04:00
legop3 6bfbb8ad80 replay beeps and boops and flashings
Container image / image (push) Failing after 1m3s
2026-10-07 14:31:54 -04:00
legop3 ba2f66ebc1 add react wrapper thingy to find crashings 2026-10-07 13:38:56 -04:00
legop3 fde2fca0a0 add image tag selection to admin ui
Container image / image (push) Failing after 50s
2026-10-04 13:29:46 -04:00
legop3 d36ea4f672 Merge pull request #31 from legop3/REFACTOR-docking-undocking-serverside
Container image / image (push) Failing after 49s
Refactor docking undocking serverside
2026-10-02 23:23:23 -04:00
legop3 4be6e6c9a2 slop 2026-10-02 23:18:41 -04:00
legop3 7bac2fc447 todoing
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2026-10-02 23:07:14 -04:00
legop3 e8a407cd49 revise what counts for idle service 2026-10-02 23:05:39 -04:00
legop3 bee1866a70 fixings 2026-10-01 21:40:36 -04:00
legop3 ddfc889a8c basically moving docking flows to the server instead of being in the web UI 2026-10-01 21:21:39 -04:00
legop3 c71267873a micrationslop
Container image / image (push) Failing after 56s
2026-10-01 02:33:56 -04:00
legop3 1ba4ebe5ff add more better options for HA activities and automatically changing them (for google home switch lol) 2026-10-01 02:11:07 -04:00
legop3 607d327e9c slop 2026-09-30 22:17:08 -04:00
legop3 1bdca60648 slop 2026-09-30 21:03:06 -04:00
legop3 ea4af2ebb3 add config option for room camera interval
Container image / image (push) Failing after 1m5s
2026-09-29 22:18:45 -04:00
legop3 b2bbaf2085 slop 2026-09-29 22:14:57 -04:00
legop3 18e7fb8d1b slop
Container image / image (push) Failing after 56s
2026-09-28 23:38:19 -04:00
legop3 ba71106544 slop 2026-09-28 23:22:15 -04:00
legop3 a395656056 slop
Container image / image (push) Failing after 54s
2026-09-28 18:36:29 -04:00
legop3 50c2c1f5db slop 2026-09-28 18:15:37 -04:00
legop3 b59389870e slop 2026-09-28 17:43:39 -04:00
legop3 cd4aee4e74 slop 2026-09-28 17:43:23 -04:00
legop3 9de0bfb1e7 Merge pull request #30 from legop3/FEAT-rover-learner-model
Feat rover learner model
2026-09-28 15:46:40 -04:00
legop3 008c90edf1 slop
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2026-09-28 14:46:40 -04:00
legop3 eed88983ca slop 2026-09-28 14:18:35 -04:00
legop3 923c04736b slop 2026-09-28 12:52:20 -04:00
legop3 bdc3eb640d slop 2026-09-28 12:42:31 -04:00
legop3 01354c56e6 better defaults 2026-09-28 00:40:55 -04:00
legop3 0ff03a74a5 slop 2026-09-28 00:29:21 -04:00
legop3 73a78eef20 slop 2026-09-27 18:41:24 -04:00
legop3 a157ece816 Merge pull request #29 from legop3/REFACTOR-participation-mode-ptz
Container image / image (push) Failing after 1m1s
Refactor participation mode ptz
2026-09-27 18:18:49 -04:00
legop3 8cb7cc5bdc Merge branch 'main' into REFACTOR-participation-mode-ptz
Container image / image (push) Failing after 55s
2026-09-27 18:11:37 -04:00
legop3 dbcb7f6a7a rover VLA slop testing
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2026-09-27 17:52:32 -04:00
legop3 34936ab05c more queue related convergence for the future. 2026-09-27 17:19:56 -04:00
legop3 7231809140 gonna break stuff now
Container image / image (push) Failing after 51s
2026-09-24 18:36:24 -04:00
legop3 8ca714cf1a pause ptz turns when no ones on 2026-09-24 18:06:24 -04:00
legop3 ffd34de56c improving the UI side of ptz... and improving the way turns works with UI.... 2026-09-24 17:54:46 -04:00
legop3 aeeff6fe1b spectate pages have been upgraded
Container image / image (push) Failing after 55s
2026-09-23 13:54:41 -04:00
legop3 846c9dae55 new internal concept: operating mode. will allow for more UI and separate pages to be made to operate things other than rovers. Converted PTZ to new system. 2026-09-22 14:42:21 -04:00
legop3 e750712a39 alert feed betterification
Container image / image (push) Failing after 1m0s
2026-09-20 16:22:04 -04:00
legop3 ff8b0c530e add link embedding in chat, update tailwind, update icons, tweak column layout. (8000 files changed because tailwind changed stuff in the update) 2026-09-20 15:41:45 -04:00
legop3 69c5bfe544 Merge pull request #28 from legop3/FEAT-live-discord-cnannel
Feat live discord cnannel
2026-09-20 15:05:57 -04:00
legop3 3ad95b376a add alertfeed to display, adjust alert feed opacities 2026-09-19 22:42:45 -04:00
legop3 bda740b08d add current thing too! and better visuals
Container image / image (push) Failing after 1m0s
2026-09-19 18:43:03 -04:00
legop3 3c8c5f5883 glorm 2026-09-19 17:03:59 -04:00
legop3 c35544e515 add battery voltage to /display so you can see voltages of batteries on the /display page by looking at /display to see the voltages of the batteries on the roombas in case you want to see the battery voltages!! yay!!!! 2026-09-19 17:00:23 -04:00
legop3 0df4a5ec89 smaller cooldown 2026-09-18 16:48:24 -04:00
legop3 8e301e7db7 remove embed stuff 2026-09-18 16:36:19 -04:00
legop3 b712fb89c6 omarchy 2026-09-18 16:05:10 -04:00
legop3 fe2c29371f fix discord bot config restart and startup connection retry
Container image / image (push) Failing after 1m1s
2026-09-18 14:41:11 -04:00
legop3 61ee692815 Merge pull request #27 from legop3/homeassistant-accessories
Homeassistant accessories
2026-09-18 14:27:27 -04:00
377 changed files with 19608 additions and 7511 deletions
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@@ -5,6 +5,7 @@
.git
.gitignore
**/node_modules
webui/.cache/mediamtx/
# Neither the legacy state directory nor the Compose-mounted replacement may
# enter an image build. This prevents credentials and backups from becoming
# image layers after an operator has started using either deployment layout.
+1
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@@ -5,6 +5,7 @@ create_2_Open_Interface_Spec.txt
logs
node_modules/
webui/.cache/mediamtx/
__pycache__/
*.py[cod]
.pio
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@@ -97,6 +97,15 @@ RUN curl --fail --location --retry 3 \
&& find /output/opt/roverd/googletts -type d -exec chmod 0755 {} + \
&& find /output/opt/roverd/googletts -type f -exec chmod 0644 {} +
FROM architecture-check AS learning-dependencies
# CPU-only learning dependencies are built once. Disabled installations never
# launch Python or install packages as a side effect of starting Node.
RUN dnf install -y --setopt=install_weak_deps=False python3 python3-pip \
&& dnf clean all
COPY server/src/services/roverLearningService/workers/requirements.txt /tmp/learning-requirements.txt
RUN python3 -m venv /opt/rover-learning \
&& /opt/rover-learning/bin/pip install --no-cache-dir -r /tmp/learning-requirements.txt
FROM fedora:${FEDORA_VERSION} AS runtime
ARG FEDORA_VERSION
ARG TARGETARCH
@@ -148,6 +157,7 @@ COPY --from=webui-build /build/server/public ./public
COPY --from=native-workers /build/kinect/kinect_worker ./src/services/kinectService/native/kinect_worker
COPY --from=native-workers /build/balance-board/balance_board_worker ./src/services/balanceBoardService/native/balance_board_worker
COPY --from=packaged-tools /output/ /
COPY --from=learning-dependencies /opt/rover-learning /opt/rover-learning
COPY --chmod=0755 server/bin/chromegtts-wav.py /usr/local/bin/chromegtts-wav
COPY --chmod=0755 server/mediamtx/rover-snapshot-writer.sh /usr/local/bin/rover-snapshot-writer.sh
+5 -1
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@@ -23,9 +23,13 @@ services:
# Required for Bluetooth hardware such as the Balance Board.
- /run/dbus/system_bus_socket:/run/dbus/system_bus_socket:ro
# Required for Kinect USB access.
# Kinect USB access.
devices:
- /dev/bus/usb:/dev/bus/usb
# For a server-local microphone, uncomment this device and group_add below.
# - /dev/snd:/dev/snd
# group_add:
# - "${AUDIO_GID:?Set AUDIO_GID to the host sound device group ID}"
cap_add:
- NET_ADMIN
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@@ -26,6 +26,8 @@ Phase 1 must be complete and verified before Phase 2 begins. Containerization mu
## Decision log
- 2026-10-02: The admin container controls accept a tag within the repository supplied by Compose through `MULTIROVER_TARGET_IMAGE`. A successful healthy replacement saves the tag in the lifecycle status volume; failed replacements retain the previous selection. Checks and later updates follow that saved tag. Changing repositories in Compose resets the selection. Manual Compose deployments still use the Compose image and can replace a UI-selected image; the UI displays both references. The lifecycle helper itself is updated through Compose. Image rollback does not revert application data migrations. Deploy this feature to both the application and lifecycle services before using tag selection.
- 2026-09-14: Publish `ghcr.io/legop3/multiroombarover:latest` only from the repository's main branch. Every other repository branch publishes one moving development image named for that branch, with invalid tag separators normalized; these are development selectors rather than numbered releases. Pull requests only verify that the image builds. There are no release numbers, semantic-version tags, stable/edge channels, or operator-facing version selection. Docker image digests remain an internal mechanism for detecting an available update and retaining the previously running image for rollback.
- 2026-09-15: Support only `linux/amd64` for the central server image. Rover computers remain independently ARM-capable, but publishing an untested ARM server image would multiply native-worker, media-binary, TTS-library, and hardware validation without serving the current deployment. ARM server support can be added later when a real ARM server exists to verify it.
- 2026-09-15: Mount the application data directory from the Docker-managed `multirover-data` named volume instead of a host bind path. Docker initializes the empty volume with the image's non-root ownership, eliminating host UID matching, directory creation, ownership commands, and root application startup. The admin backup/restore system is the supported portable interface to the complete data tree.
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@@ -64,6 +64,7 @@ socket.on('connect', async () => {
// previously stored session with this object instead of merging snapshots.
socket.on('session:sync', (session) => {
console.log('Session:', session);
console.log('Server mode:', session.mode);
});
// chat:init contains the recent chat history available when the bot connects.
@@ -105,6 +106,21 @@ Run it with:
node bot.js
```
## Reading server mode
Read `session.mode` from the `session:sync` snapshot to get the current server
mode. Its possible values are `open`, `turns`, `admin`, and `lockdown`.
The server sends a fresh session snapshot whenever the mode changes, so the
example's handler receives both the initial mode and subsequent updates. No
polling or separate mode listener is needed. If your bot stores session data for
its chat-handling logic, replace the stored session on every `session:sync` and
read the mode from that latest snapshot.
`session.mode` is the server-wide mode; `session.role` is this connection's role
(such as `spectator`), and `session.operatingMode` is a separate connection field.
Use `session.mode` when answering chat questions about the server's current mode.
## Events used
- `nickname:set` sets the bot's visible nickname.
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@@ -0,0 +1,208 @@
#!/usr/bin/env python3
"""CPU benchmark of published NoMaD exploration, without ROS or rover connections.
Run: python3 perf/nomad-benchmark.py --setup
Subsequent runs: python3 perf/nomad-benchmark.py
Quick run: python3 perf/nomad-benchmark.py --threads 4 --samples 1 --seconds 2 --iterations 2
--setup installs CPU dependencies in a private cached venv and downloads pinned
upstream source plus the official checkpoint. Nothing touches server packages.
Synthetic images measure compute, NOT navigation quality. Excludes capture,
video decode, network, physical control, training, and concurrent rover load.
"""
import argparse
import hashlib
import importlib.metadata
import json
import math
import os
from pathlib import Path
import platform
import resource
import statistics
import subprocess
import sys
import time
import urllib.request
import venv
VINT = 'dca79815b704e5aa9c6bdc3082351f9e3b2848c2'
DIFFUSION = '5ba07ac6661db573af695b419a7947ecb704690f'
CHECKPOINT_ID = '1YJhkkMJAYOiKNyCaelbS_alpUpAJsOUb'
SOURCES = {
('robodhruv/visualnav-transformer', VINT): [
'train/config/nomad.yaml', 'train/vint_train/data/data_config.yaml',
'train/vint_train/models/nomad/nomad.py',
'train/vint_train/models/nomad/nomad_vint.py',
'train/vint_train/models/vint/self_attention.py',
],
('real-stanford/diffusion_policy', DIFFUSION): [
'diffusion_policy/model/diffusion/conditional_unet1d.py',
'diffusion_policy/model/diffusion/conv1d_components.py',
'diffusion_policy/model/diffusion/positional_embedding.py',
],
}
def positive(value):
result = int(value)
if result < 1:
raise argparse.ArgumentTypeError('Must be positive')
return result
def arguments():
p = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
p.add_argument('--setup', action='store_true')
p.add_argument('--cache', type=Path, default=Path.home() / '.cache/rover-nomad-benchmark')
p.add_argument('--threads', type=positive, nargs='+', default=[4, 8, 16])
p.add_argument('--samples', type=positive, nargs='+', default=[1, 8], help='Candidate trajectories per decision, not rover count')
p.add_argument('--seconds', type=positive, default=10)
p.add_argument('--iterations', type=positive, default=10)
p.add_argument('--worker', action='store_true', help=argparse.SUPPRESS)
p.add_argument('--result', type=Path, help=argparse.SUPPRESS)
return p.parse_args()
def download(url, path):
if path.exists():
return
path.parent.mkdir(parents=True, exist_ok=True)
temporary = path.with_suffix(path.suffix + '.part')
print('Downloading', path.name, flush=True)
with urllib.request.urlopen(url, timeout=120) as response, temporary.open('wb') as output:
import shutil
shutil.copyfileobj(response, output)
temporary.replace(path)
def prepare(args):
python = args.cache / 'venv/bin/python'
if not python.exists():
venv.EnvBuilder(with_pip=True).create(args.cache / 'venv')
subprocess.run([str(python), '-m', 'pip', 'install', 'torch', 'torchvision',
'--index-url', 'https://download.pytorch.org/whl/cpu'], check=True)
subprocess.run([str(python), '-m', 'pip', 'install', 'numpy', 'diffusers',
'efficientnet-pytorch', 'einops', 'PyYAML', 'gdown'], check=True)
for (repo, revision), paths in SOURCES.items():
for path in paths:
download(f'https://raw.githubusercontent.com/{repo}/{revision}/{path}', args.cache / 'source' / revision / path)
checkpoint = args.cache / 'nomad.pth'
if not checkpoint.exists():
temporary = checkpoint.with_suffix('.part')
subprocess.run([str(python), '-m', 'gdown', CHECKPOINT_ID, '-O', str(temporary)], check=True)
temporary.replace(checkpoint)
def worker(args):
import numpy as np
import torch
import yaml
from diffusers.schedulers.scheduling_ddpm import DDPMScheduler
sys.path[:0] = [str(args.cache / 'source' / VINT / 'train'), str(args.cache / 'source' / DIFFUSION)]
from vint_train.models.nomad.nomad import NoMaD, DenseNetwork
from vint_train.models.nomad.nomad_vint import NoMaD_ViNT, replace_bn_with_gn
from diffusion_policy.model.diffusion.conditional_unet1d import ConditionalUnet1D
threads, samples = args.threads[0], args.samples[0]
torch.set_num_threads(threads)
torch.set_num_interop_threads(1)
torch.manual_seed(0)
c = yaml.safe_load((args.cache / 'source' / VINT / 'train/config/nomad.yaml').read_text())
vision = replace_bn_with_gn(NoMaD_ViNT(
context_size=c['context_size'], obs_encoding_size=c['encoding_size'],
mha_num_attention_heads=c['mha_num_attention_heads'],
mha_num_attention_layers=c['mha_num_attention_layers'], mha_ff_dim_factor=c['mha_ff_dim_factor']))
model = NoMaD(vision, ConditionalUnet1D(input_dim=2, global_cond_dim=c['encoding_size'],
down_dims=c['down_dims'], cond_predict_scale=c['cond_predict_scale']), DenseNetwork(c['encoding_size'])).eval()
# Strict loading prevents accidentally benchmarking a partly random model.
model.load_state_dict(torch.load(args.cache / 'nomad.pth', map_location='cpu', weights_only=True), strict=True)
scheduler = DDPMScheduler(num_train_timesteps=c['num_diffusion_iters'],
beta_schedule='squaredcos_cap_v2', clip_sample=True, prediction_type='epsilon')
width, height = c['image_size']
frames = torch.rand(c['context_size'] + 1, 3, height, width)
mean = torch.tensor([.485, .456, .406]).view(1, 3, 1, 1)
std = torch.tensor([.229, .224, .225]).view(1, 3, 1, 1)
mask = torch.ones(1, dtype=torch.long)
stats = yaml.safe_load((args.cache / 'source' / VINT / 'train/vint_train/data/data_config.yaml').read_text())['action_stats']
low, high = np.array(stats['min']), np.array(stats['max'])
def decision():
start = time.perf_counter()
obs = ((frames - mean) / std).reshape(1, -1, height, width)
goal = torch.randn(1, 3, height, width)
cond = model('vision_encoder', obs_img=obs, goal_img=goal, input_goal_mask=mask).repeat(samples, 1)
encoded = time.perf_counter()
action = torch.randn(samples, c['len_traj_pred'], 2)
scheduler.set_timesteps(c['num_diffusion_iters'])
for step in scheduler.timesteps:
noise = model('noise_pred_net', sample=action, timestep=step, global_cond=cond)
action = scheduler.step(noise, step, action).prev_sample
# Match upstream get_action: unnormalize deltas then accumulate waypoints.
waypoints = np.cumsum((action.numpy() + 1) / 2 * (high - low) + low, axis=1)
if not np.isfinite(waypoints).all():
raise RuntimeError('Non-finite model output')
end = time.perf_counter()
return (end - start) * 1000, (encoded - start) * 1000, (end - encoded) * 1000
rows = []
with torch.inference_mode():
for _ in range(3):
decision()
start, cpu = time.perf_counter(), time.process_time()
while len(rows) < args.iterations or time.perf_counter() - start < args.seconds:
rows.append(decision())
elapsed, cpu = time.perf_counter() - start, time.process_time() - cpu
total = sorted(r[0] for r in rows)
result = dict(threads=threads, candidateTrajectories=samples, iterations=len(rows),
p50Ms=statistics.median(total), p95Ms=total[math.ceil(.95 * len(total)) - 1], maxMs=max(total),
decisionsPerSecond=len(rows)/elapsed, cpuCores=cpu/elapsed,
peakMiB=resource.getrusage(resource.RUSAGE_SELF).ru_maxrss/1024,
visionMeanMs=statistics.mean(r[1] for r in rows), diffusionAndDecodeMeanMs=statistics.mean(r[2] for r in rows),
parameters=sum(p.numel() for p in model.parameters()), diffusionSteps=c['num_diffusion_iters'],
imageSize=c['image_size'], frames=c['context_size']+1,
versions={name: importlib.metadata.version(name) for name in ['torch','torchvision','diffusers','numpy','efficientnet-pytorch','einops']})
args.result.write_text(json.dumps(result))
def main():
args = arguments()
args.cache = args.cache.expanduser().resolve()
if args.worker:
worker(args)
return
if args.setup:
prepare(args)
python = args.cache / 'venv/bin/python'
if not python.exists() or not (args.cache / 'nomad.pth').exists():
raise RuntimeError('First run: python3 perf/nomad-benchmark.py --setup')
print('CPU FP32 NoMaD exploration; synthetic images; no driving-quality measurement.', flush=True)
print('Candidates are trajectories for ONE rover. Includes vision + all 10 diffusion steps.', flush=True)
print('threads candidates p50 ms p95 ms max ms decisions/s CPU cores peak MiB', flush=True)
results = []
import tempfile
with tempfile.TemporaryDirectory(prefix='nomad-bench-') as directory:
for threads in args.threads:
for samples in args.samples:
path = Path(directory) / 'result.json'
subprocess.run([str(python), str(Path(__file__).resolve()), '--worker', '--cache', str(args.cache),
'--threads', str(threads), '--samples', str(samples), '--seconds', str(args.seconds),
'--iterations', str(args.iterations), '--result', str(path)], check=True,
timeout=max(600, args.seconds*20), env={**os.environ, 'PYTHONDONTWRITEBYTECODE':'1'})
r = json.loads(path.read_text()); results.append(r)
print(f"{threads:7} {samples:10} {r['p50Ms']:7.1f} {r['p95Ms']:7.1f} {r['maxMs']:7.1f} {r['decisionsPerSecond']:11.2f} {r['cpuCores']:9.2f} {r['peakMiB']:8.0f}", flush=True)
with (args.cache / 'nomad.pth').open('rb') as f:
digest = hashlib.file_digest(f, 'sha256').hexdigest()
report = dict(benchmark='nomad-cpu-v1', platform=platform.platform(), logicalCpus=os.cpu_count(),
loadAverage=os.getloadavg(), sourceRevisions=dict(vint=VINT,diffusion=DIFFUSION), checkpointSha256=digest,
exclusions=['capture','video decode','network','physical control','training','concurrent model workloads'], results=results)
print('\nPaste this report back:\n' + json.dumps(report, separators=(',', ':')))
print('At 10 decisions/s the total budget is 100ms; at 5/s it is 200ms. Leave room for the excluded pipeline.')
if __name__ == '__main__':
try:
main()
except (Exception, KeyboardInterrupt) as error:
print(f'Benchmark failed: {error}', file=sys.stderr)
sys.exit(1)
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@@ -0,0 +1,214 @@
#!/usr/bin/env python3
"""Finite, CPU-only rover policy compute benchmark. No rover/server connections.
Run from the repo root on Linux:
python3 -m venv ~/.venvs/rover-bench
~/.venvs/rover-bench/bin/pip install torch --index-url https://download.pytorch.org/whl/cpu
~/.venvs/rover-bench/bin/python perf/rover-model-benchmark.py
Quick run:
.../python perf/rover-model-benchmark.py --threads 4 --rovers 1 --seconds 2
Random inputs/weights measure compute cost ONLY, not learned driving ability.
This is a representative architecture, not a selected production policy.
Video decoding, network delay, dataset I/O, and simultaneous training/inference
are excluded. No packages are installed automatically and no files are written.
"""
import argparse
import json
import math
import os
import platform
import resource
import statistics
import subprocess
import sys
import time
def positive_int(value):
number = int(value)
if number < 1:
raise argparse.ArgumentTypeError("must be positive")
return number
def positive_seconds(value):
number = float(value)
if not math.isfinite(number) or number <= 0:
raise argparse.ArgumentTypeError("must be finite and positive")
return number
def arguments():
parser = argparse.ArgumentParser(description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument("--threads", type=positive_int, nargs="+", default=[4, 8, 16])
parser.add_argument("--rovers", type=positive_int, nargs="+", default=[1, 2, 4])
parser.add_argument("--seconds", type=positive_seconds, default=10,
help="minimum measured seconds per case (default: 10)")
parser.add_argument("--frames", type=positive_int, default=4)
parser.add_argument("--height", type=positive_int, default=120)
parser.add_argument("--width", type=positive_int, default=160)
parser.add_argument("--batch-size", type=positive_int, default=16,
help="training batch size")
parser.add_argument("--hz", type=positive_int, default=10,
help="target decision frequency per rover")
parser.add_argument("--worker", choices=["inference", "training"],
help=argparse.SUPPRESS)
return parser.parse_args()
def worker(args):
import torch
from torch import nn
torch.set_num_threads(args.threads[0])
torch.set_num_interop_threads(1)
torch.manual_seed(42)
class Policy(nn.Module):
def __init__(self):
super().__init__()
# Preserve coarse spatial layout: global pooling alone would discard
# information about which side of the image contains an obstacle.
self.vision = nn.Sequential(
nn.Conv2d(3, 24, 5, stride=2, padding=2), nn.ReLU(),
nn.Conv2d(24, 48, 3, stride=2, padding=1), nn.ReLU(),
nn.Conv2d(48, 96, 3, stride=2, padding=1), nn.ReLU(),
nn.Conv2d(96, 128, 3, stride=2, padding=1), nn.ReLU(),
nn.AdaptiveAvgPool2d((3, 4)), nn.Flatten(),
nn.Linear(128 * 3 * 4, 128), nn.ReLU(),
)
# 32 sensor values + 32 previous-control/state values per frame.
self.history = nn.GRU(128 + 64, 128, batch_first=True)
self.continuous = nn.Linear(128, 8)
self.buttons = nn.Linear(128, 16)
def forward(self, images, state):
batch, frames, channels, height, width = images.shape
features = self.vision(images.reshape(-1, channels, height, width))
features = features.reshape(batch, frames, -1)
history, _ = self.history(torch.cat((features, state), dim=-1))
last = history[:, -1]
return self.continuous(last).tanh(), self.buttons(last)
model = Policy().cpu().float()
training = args.worker == "training"
model.train(training)
batch = args.batch_size if training else args.rovers[0]
# Keep several independent windows in RAM. Allocation/random generation is
# outside timing; full frame-history encoding IS included on every decision.
windows = [(
torch.rand(batch, args.frames, 3, args.height, args.width),
torch.rand(batch, args.frames, 64),
) for _ in range(4)]
targets = (torch.rand(batch, 8) * 2 - 1, torch.randint(0, 2, (batch, 16)).float())
optimizer = torch.optim.AdamW(model.parameters(), lr=1e-4) if training else None
def step(index):
if training:
optimizer.zero_grad(set_to_none=True)
continuous, buttons = model(*windows[index % len(windows)])
if training:
loss = (nn.functional.mse_loss(continuous, targets[0])
+ nn.functional.binary_cross_entropy_with_logits(buttons, targets[1]))
loss.backward()
optimizer.step()
context = torch.enable_grad if training else torch.inference_mode
with context():
for index in range(5):
step(index)
timings = []
cpu_start = time.process_time()
start = time.perf_counter()
# CPU execution is synchronous, so these durations include completion.
while time.perf_counter() - start < args.seconds or len(timings) < 10:
before = time.perf_counter()
step(len(timings))
timings.append(time.perf_counter() - before)
elapsed = time.perf_counter() - start
cpu_elapsed = time.process_time() - cpu_start
ordered = sorted(timings)
print(json.dumps({
"mode": args.worker, "threads": args.threads[0], "batch": batch,
"parameters": sum(p.numel() for p in model.parameters()),
"torch": torch.__version__, "iterations": len(timings),
"p50_ms": statistics.median(timings) * 1000,
"p95_ms": ordered[math.ceil(len(ordered) * .95) - 1] * 1000,
"max_ms": max(timings) * 1000,
"steps_s": len(timings) / elapsed,
"examples_s": len(timings) * batch / elapsed,
"cpu_cores": cpu_elapsed / elapsed,
"peak_mib": resource.getrusage(resource.RUSAGE_SELF).ru_maxrss / 1024,
}))
def main():
args = arguments()
if args.worker:
worker(args)
return
try:
import torch
except ImportError:
sys.exit("PyTorch is required. Run the three setup/run commands shown by --help.")
print(f"CPU-only FP32 | {platform.platform()} | Python {platform.python_version()}"
f" | PyTorch {torch.__version__}", flush=True)
print(f"Logical CPUs: {os.cpu_count()} | initial load averages: {os.getloadavg()}")
print(f"Input: {args.frames} RGB frames at {args.width}x{args.height},"
" 32 sensors + 32 controls/state per frame")
print("Output: 8 continuous controls + 16 button logits (placeholder dimensions)")
print("Synthetic in-memory data; full history re-encoded each decision.")
print("Excludes video decode/network/dataset I/O and concurrent training/inference.")
print("Each case has 5 warmups, then at least 10 iterations and the requested duration.")
print("CPU cores = process CPU seconds / wall seconds; peak MiB includes runtime/data.")
print("Multi-rover inference batches one independent history per rover per step.\n")
print("mode threads batch p50 ms p95 ms max ms steps/s examples/s CPU cores peak MiB", flush=True)
results = []
for mode in ("inference", "training"):
batches = args.rovers if mode == "inference" else [args.batch_size]
for threads in args.threads:
for batch in batches:
# Fresh processes isolate thread pools and peak memory per case.
command = [sys.executable, os.path.abspath(__file__), "--worker", mode,
"--threads", str(threads), "--rovers", str(batch),
"--batch-size", str(args.batch_size), "--seconds", str(args.seconds),
"--frames", str(args.frames), "--height", str(args.height),
"--width", str(args.width)]
process = subprocess.run(command, capture_output=True, text=True)
if process.returncode:
print(process.stderr, file=sys.stderr)
sys.exit(f"Failed: {mode}, threads={threads}, batch={batch}"
" (if killed for memory use, reduce --batch-size or --rovers).")
result = json.loads(process.stdout)
results.append(result)
print(f"{mode:10} {threads:7} {batch:5}"
f" {result['p50_ms']:7.1f} {result['p95_ms']:7.1f}"
f" {result['max_ms']:7.1f} {result['steps_s']:8.2f}"
f" {result['examples_s']:10.2f} {result['cpu_cores']:9.2f}"
f" {result['peak_mib']:8.0f}", flush=True)
print(f"\nModel parameters: {results[0]['parameters']:,}")
print(f"At {args.hz} Hz, each rover batch must finish every {1000 / args.hz:.1f} ms;")
print("p95 needs headroom for the excluded pipeline. This is not a deployment pass/fail.")
fastest = max((r for r in results if r['mode'] == 'training'), key=lambda r: r['examples_s'])
examples = 3600 * args.hz
minutes = examples / fastest['examples_s'] / 60
print(f"Best measured training: {fastest['examples_s']:.1f} windows/s at"
f" {fastest['threads']} threads.")
print(f"One pass over one rover-hour sampled at {args.hz} Hz ({examples:,} windows):"
f" about {minutes:.1f} compute-only minutes.")
print("Multiply by dataset hours and training passes; this does not predict convergence.")
print("Paste this complete output, along with the command/options used.")
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
sys.exit("\nBenchmark interrupted.")
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@@ -7,7 +7,7 @@ import (
)
const (
autoChargeTimeout = 1 * time.Second
autoChargeTimeout = 10 * time.Second
autoChargeCooldown = 0 * time.Minute
sourceHomeBase = 1 << 1
)
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@@ -68,6 +68,7 @@ require('./src/services/batteryManager');
// subscriptions see fully decoded state without becoming an initialization
// dependency of either control path.
require('./src/services/fleetReportService');
require('./src/services/roverLearningService');
require('./src/services/replayEngineV2');
// Replay delivery is a core service. It must subscribe before the optional
// Discord feature so web requests always have a local delivery path.
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import{_ as N,R as A}from"./index-5EWtcenj.js";import{M as D,C as S}from"./mixin-BY5xW4uI.js";class P extends D(S){static shadowRootOptions={...S.shadowRootOptions};static getTemplateHTML=i=>{const{src:n,...o}=i;return S.getTemplateHTML(o)};#t;attributeChangedCallback(i,n,o){i!=="src"&&super.attributeChangedCallback(i,n,o),i==="src"&&n!=o&&this.load()}async _initThumbnails(i){const n=async(d,m)=>{const v=[],g=i.timescale||1,h=i.startNumber||1,E=i.presentationTimeOffset?i.presentationTimeOffset/g:0,_=i.segmentDuration;for(let l=0;l<d;l++){const T=C({thIndex:l,thduration:m,ttiles:d,tduration:_,startNumber:h,pto:E}),w=T+m,M=new Promise((f,y)=>{this.api.provideThumbnail(T,({url:a,width:s,height:c,x:p,y:b})=>{try{const R=new VTTCue(T,w,`${a}#xywh=${p},${b},${s},${c}`);f(R)}catch(R){y(R)}})});v.push(M)}return await Promise.all(v).catch(l=>console.error("Error processing thumbnails",l))},{totalThumbnails:o,thumbnailDuration:e}=$(i),u=await n(o,e);let r=this.nativeEl.querySelector('track[label="thumbnails"]');if(!r){r=O(),this.nativeEl.appendChild(r);const d=x(u);r.src=d,r.dispatchEvent(new Event("change"))}}async load(){if(this.#t){this.api.attachSource(this.src);return}this.#t=!0;const i=await N(()=>import("./dash.all.min-C9gxBrL1.js"),[]);this.api=i.MediaPlayer().create(),this.api.initialize(this.nativeEl,this.src,this.autoplay),this.api.on(i.MediaPlayer.events.STREAM_INITIALIZED,()=>{const n=this.api.getRepresentationsByType("video");let o=this.videoTracks.getTrackById("main");o||(o=this.addVideoTrack("main"),o.id="main",o.selected=!0),n.forEach(e=>{const u=e.bandwidth??e.bitrate??(Number.isFinite(e.bitrateInKbit)?e.bitrateInKbit*1e3:void 0),r=o.addRendition(e.id,e.width,e.height,e.mimeType??e.codec,u);r.id=e.id}),this.videoRenditions.addEventListener("change",()=>{const e=this.videoRenditions[this.videoRenditions.selectedIndex];e?.id?(this.api.updateSettings({streaming:{abr:{autoSwitchBitrate:{video:!1}}}}),this.api.setRepresentationForTypeById("video",e.id,!0)):this.api.updateSettings({streaming:{abr:{autoSwitchBitrate:{video:!0}}}})}),this.api.isDynamic()||this.api.getRepresentationsByType("image").forEach(async(u,r)=>{r>0||this._initThumbnails(u)})})}}function $(t){var i,n;const o=t.essentialProperties[0],[e,u]=o.value.split("x").map(Number),r=e*u,d=((n=(i=t.adaptation)==null?void 0:i.period)==null?void 0:n.duration)||null,m=t.segmentDuration,v=t.timescale||1,h=m/v/r;return{totalThumbnails:d!=null?Math.ceil(d/h):Math.ceil(m/h),thumbnailDuration:h}}function C({thIndex:t,tduration:i,thduration:n,ttiles:o,startNumber:e,pto:u}){const r=Math.floor(t/o)+e,d=t%o+1,m=(r-1)*i-u,v=(d-1)*n;return m+v}function O(){const t=document.createElement("track");return t.kind="metadata",t.label="thumbnails",t.srclang="en",t.mode="hidden",t.default=!0,t}function x(t){let i=`WEBVTT
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//# sourceMappingURL=react-gdx3v4jU.js.map
File diff suppressed because one or more lines are too long
+2 -2
View File
@@ -12,8 +12,8 @@
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
<!-- site-metadata:inject -->
<!-- analytics:inject -->
<script type="module" crossorigin src="/assets/index-n0JxE1Mv.js"></script>
<link rel="stylesheet" crossorigin href="/assets/index-xCRVLGjq.css">
<script type="module" crossorigin src="/assets/index-dJH5nUWV.js"></script>
<link rel="stylesheet" crossorigin href="/assets/index-DOmNOCX4.css">
</head>
<body>
<div id="root"></div>
@@ -184,6 +184,7 @@ test('service definitions generate public feature paths without a separate regis
{ key: 'discord', path: ['discord', 'enabled'] },
{ key: 'socials', path: ['socials', 'enabled'] },
{ key: 'fleetReports', path: ['fleetReports', 'enabled'] },
{ key: 'roverLearning', path: ['roverLearning', 'enabled'] },
]);
});
+4
View File
@@ -13,6 +13,7 @@ const audioForward = require('../services/audioForwardService/configuration');
const audioLevels = require('../services/audioLevelsService/configuration');
const homeAssistant = require('../services/homeAssistantService/configuration');
const homeAssistantActivities = require('../services/homeAssistantActivitiesService/configuration');
const roomAudio = require('../services/roomAudioService/configuration');
const roomCameras = require('../services/roomCameraService/configuration');
const ptzCamera = require('../services/ptzCameraService/configuration');
const kinect = require('../services/kinectService/configuration');
@@ -22,6 +23,7 @@ const barcodeScanner = require('../services/barcodeScannerService/configuration'
const commands = require('../services/operatorCommandService/configuration');
const discord = require('../services/discordBotService/configuration');
const fleetReports = require('../services/fleetReportService/configuration');
const roverLearning = require('../services/roverLearningService/configuration');
/*
Object property order is preserved by JSON serialization and JSON Schema
@@ -45,6 +47,7 @@ const definitions = [
// Activities own a separate catalog even though the HA connection is shared.
homeAssistantActivities,
roomCameras,
roomAudio,
ptzCamera,
kinect,
balanceBoard,
@@ -55,6 +58,7 @@ const definitions = [
sessionConfiguration.socials,
sessionConfiguration.driverAd,
fleetReports,
roverLearning,
];
const defaultConfig = Object.fromEntries(
+41 -1
View File
@@ -1,6 +1,6 @@
// Configuration Database Migrations
// Purpose: Applies ordered, transactional schema changes to the configuration and administration database.
// Scope: Owns database structure only; configuration-document evolution belongs to the ordered definition and validation.
// Scope: Upgrades database structure and stored configuration documents before current-schema validation.
const migrations = [
{
version: 1,
@@ -72,6 +72,46 @@ const migrations = [
});
},
},
{
version: 3,
run(db) {
// Migrate historical revisions too, so rolling back settings cannot
// restore the removed training-visit limit and break startup again.
db.prepare(`
UPDATE configuration_revisions
SET config_json = json_remove(config_json, '$.roverLearning.training.roundsPerSession')
WHERE json_type(config_json, '$.roverLearning.training.roundsPerSession') IS NOT NULL
`).run();
},
},
{
version: 4,
run(db) {
const rows = db.prepare('SELECT id, config_json FROM configuration_revisions').all();
const update = db.prepare('UPDATE configuration_revisions SET config_json = ? WHERE id = ?');
// Upgrade history as well as the active revision so a settings rollback
// cannot reintroduce fields rejected by the new Automations schema.
for (const row of rows) {
const config = JSON.parse(row.config_json);
let changed = false;
for (const item of config.homeAssistantActivities?.items || []) {
const hasAction = Object.hasOwn(item, 'idleAction');
const hasValue = Object.hasOwn(item, 'idleValue');
if (!hasAction && !hasValue) continue;
item.automations ??= {};
item.automations.idle ??= {};
// Preserve any explicitly saved new-format setting when both formats
// exist, including an empty text value used to clear an entity.
if (hasAction && !Object.hasOwn(item.automations.idle, 'action')) item.automations.idle.action = item.idleAction;
if (hasValue && !Object.hasOwn(item.automations.idle, 'value')) item.automations.idle.value = item.idleValue;
delete item.idleAction;
delete item.idleValue;
changed = true;
}
if (changed) update.run(JSON.stringify(config), row.id);
}
},
},
];
function applySchemaMigrations(db) {
+12 -2
View File
@@ -7,6 +7,7 @@ const logger = require('../../globals/logger').child('assignment');
const { MODES, getMode, modeEvents } = require('../modeManager');
const { roleEvents, getRole, isAdmin, isLockdownAdmin } = require('../roleService');
const roverManager = require('../roverManager');
const { getOperatingMode } = require('../operatingModeService');
const { compareRoversForAssignment } = require('./roverRanking');
const socketRefs = new Map(); // socketId -> socket
@@ -131,7 +132,7 @@ roverManager.managerEvents.on('switch', ({ socketId, roverId }) => {
});
function assignSocket(socket, options = {}) {
if (!socket || isAdmin(socket) || getRole(socket) !== 'user') {
if (!socket || getOperatingMode(socket) !== 'rover' || isAdmin(socket) || getRole(socket) !== 'user') {
return;
}
// avoid double assignment
@@ -311,13 +312,22 @@ function describeAssignment(socketId) {
module.exports = {
assignmentEvents,
resumeAssignment: assignSocket,
releaseForOperatingMode: (socket) => {
// Include direct admin control as well as automatic assignment ownership.
const roverIds = new Set(roverManager.getRoversForSocket(socket.id));
const assigned = assignments.get(socket.id);
if (assigned) roverIds.add(assigned);
waiting.delete(socket.id);
roverIds.forEach((roverId) => forceRelease(roverId, socket.id));
},
describeAssignment,
forceRelease,
forceReleaseWithNotice,
rerollAssignments,
getAssignedRover: (socketId) => assignments.get(socketId) || null,
moveAssignment: (socket, roverId, { releasePrevious = true } = {}) => {
if (!socket || !roverId) return;
if (!socket || !roverId || getOperatingMode(socket) !== 'rover') return;
const previous = assignments.get(socket.id);
if (previous && previous !== roverId && releasePrevious) {
roverManager.releaseControl(previous, socket);
@@ -4,7 +4,7 @@
const path = require('path');
const { subscribe } = require('../eventBus');
const DONE_CHARGING_SOUND_PATH = path.resolve(__dirname, '..', '..', '..', 'public', 'donecharging.wav');
const DONE_CHARGING_SOUND_PATH = path.resolve(__dirname, '..', '..', '..', 'assets', 'donecharging.wav');
function registerChargeCompleteSound(deps) {
const {
@@ -12,22 +12,18 @@ function registerChargeCompleteSound(deps) {
playServerAudioFile,
} = deps;
subscribe('battery.unlocked', (event = {}) => {
subscribe('battery.chargeComplete', (event = {}) => {
const roverId = String(event?.payload?.roverId || '').trim();
if (!roverId) return;
try {
// battery.unlocked is the existing server-side definition of "done
// charging" because it only fires after the battery manager has waited
// through its full charge-release policy. Playing from this event avoids
// duplicating charging thresholds or raw sensor-state guesses here.
playServerAudioFile(roverId, DONE_CHARGING_SOUND_PATH, {
source: 'charge-complete',
});
logger.info('Played charging complete sound', { roverId, filePath: DONE_CHARGING_SOUND_PATH });
logger.info('Started charging complete sound', { roverId, filePath: DONE_CHARGING_SOUND_PATH });
} catch (err) {
// A missing/offline rover or unavailable ffmpeg should not affect the
// battery manager's unlock decision. The sound is an announcement layered
// battery manager's processing. The sound is an announcement layered
// on top of the state transition, so failures are logged and contained.
logger.warn('Failed to play charging complete sound', {
roverId,
+2 -1
View File
@@ -124,7 +124,7 @@ function grantExternalSpectatorAccessAfterAdminLogin(socket) {
}
io.on('connection', (socket) => {
const requestedRole = socket.handshake?.query?.role;
const requestedRole = socket.handshake?.auth?.role || socket.handshake?.query?.role;
/*
Role is assigned before the browser's full identity heartbeat has completed.
For admin-gated external spectators, fail closed here; the spectator page can
@@ -188,4 +188,5 @@ module.exports = {
isAdmin,
isLockdownAdmin,
authenticate,
canBecomeSpectator,
};
@@ -109,6 +109,7 @@ async function copyDurableTree(sourceDir, destinationDir, relativeDir = '') {
const relativePath = path.join(relativeDir, entry.name);
if (!relativeDir && EXCLUDED_TOP_LEVEL_NAMES.has(entry.name)) continue;
if (!relativeDir && DATABASE_FILES.has(entry.name)) continue;
if (relativePath === path.join('rover-learning', 'recordings')) continue;
if (entry.isSymbolicLink()) throw new Error(`Backup cannot include symbolic link: ${relativePath}`);
if (entry.isDirectory()) {
skipped.push(...await copyDurableTree(sourceDir, destinationDir, relativePath));
@@ -4,6 +4,7 @@
const logger = require('../../globals/logger').child('batteryManager');
const { publishEvent } = require('../eventBus');
const { managerEvents, lockRover, rovers } = require('../roverManager');
const { issueCommand } = require('../commandService');
const STATES = {
NORMAL: 'normal',
@@ -29,6 +30,7 @@ function getState(roverId) {
dockedCharging: false,
charging: false,
batteryLocked: false,
completionAnnounced: false,
waitingSince: null,
});
}
@@ -61,6 +63,11 @@ function handleSensorEvent({ roverId, sensors, batteryState }) {
}
if (!state.urgent && batteryState?.urgentActive) {
state.urgent = true;
try {
issueCommand(roverId, { type: 'song', song: { notes: [{ note: 72, duration: 8 }, { note: 0, duration: 8 }, { note: 72, duration: 16 }] } });
} catch (err) {
logger.warn('Failed to play urgent battery warning', { roverId, error: err.message });
}
publishEvent({
source: 'batteryManager',
type: 'battery.urgent',
@@ -137,6 +144,18 @@ function handleSensorEvent({ roverId, sensors, batteryState }) {
(batteryState?.charge != null && fullThreshold != null && batteryState.charge >= fullThreshold) ||
(batteryState?.percent != null && batteryState.percent >= 0.99);
// Announce once per dock visit, independently of the charging lock. Keep the
// latch at 100% so small charge fluctuations cannot repeat the sound.
if (!onDock) state.completionAnnounced = false;
if (onDock && batteryState?.percentDisplay >= 100 && !state.completionAnnounced) {
state.completionAnnounced = true;
publishEvent({
source: 'batteryManager',
type: 'battery.chargeComplete',
payload: { roverId, batteryState },
});
}
const needsCharge = state.warned;
if (dockedCharging && lockable && needsCharge && !state.batteryLocked && !isFull && !waitingLongEnough) {
@@ -2,20 +2,14 @@
// Purpose: Builds normalized chat message/typing payloads and rover context snapshots.
// Scope: Encapsulates chat DTO construction and rover/driver metadata extraction.
const { v4: uuidv4 } = require('uuid');
const io = require('../../globals/io');
const roverManager = require('../roverManager');
const { getRole } = require('../roleService');
const { getOperatingMode } = require('../operatingModeService');
const { describeAssignment } = require('../assignmentService');
const { getNickname } = require('../nicknameService');
const ptzCameraService = require('../ptzCameraService');
function resolvePtzChatTarget(socketId) {
return ptzCameraService.getChatTargetForSocket(socketId) || null;
}
function resolveRoverId(socketId) {
const ptzTarget = resolvePtzChatTarget(socketId);
if (ptzTarget?.roverId) return ptzTarget.roverId;
const primary = roverManager.getPrimaryRoverForSocket(socketId);
if (primary) return primary;
const assignment = describeAssignment(socketId);
@@ -24,54 +18,22 @@ function resolveRoverId(socketId) {
function resolveRoverColor(roverId) {
if (!roverId) return null;
if (String(roverId) === ptzCameraService.PTZ_CAMERA_ID) {
return ptzCameraService.getPublicState()?.color || null;
}
const record = roverManager.rovers.get(String(roverId));
return record?.meta?.color || null;
}
function resolveRoverName(roverId) {
if (!roverId) return null;
if (String(roverId) === ptzCameraService.PTZ_CAMERA_ID) {
return ptzCameraService.getPublicState()?.name || null;
}
const record = roverManager.rovers.get(String(roverId));
return record?.meta?.name || null;
}
function isPtzChatTargetId(roverId) {
/*
PTZ is intentionally treated as a virtual rover for chat identity only. It
does not live in roverManager.rovers because movement, video authorization,
and queue ownership are PTZ-service concerns, but chat needs one stable
"rover-like" id so the existing web UI, Discord bridge, and AI transcript
code can all render the same badge without learning PTZ internals.
*/
return Boolean(roverId) && String(roverId) === ptzCameraService.PTZ_CAMERA_ID;
}
function isPublicChatTargetId(roverId, socket = null) {
if (!roverId) return false;
/*
Normal rovers remain governed by the existing replay visibility rule, which
is also the rule chat historically used to avoid exposing closed private
rover activity. PTZ gets an explicit allow-list entry here because it is a
public chat target that deliberately pretends to be a rover, even though it
is not a roverManager record.
*/
if (isPtzChatTargetId(roverId)) return true;
return roverManager.canReplayRoverId(roverId, socket) === true;
return Boolean(roverId) && roverManager.canReplayRoverId(roverId, socket) === true;
}
function isPrivateClosedRoverId(roverId) {
if (!roverId) return false;
/*
PTZ uses the existing rover badge fields so chat rows can reuse RoverLabel,
but it is not a private rover. Let PTZ-badged messages broadcast normally
instead of falling into the closed-private rover path for unknown ids.
*/
return !isPublicChatTargetId(roverId);
return Boolean(roverId) && !isPublicChatTargetId(roverId);
}
function normalizeProfileImageUrl(value) {
@@ -170,6 +132,8 @@ function buildMessage(socket, text, meta = {}) {
socketId: socket?.id || null,
nickname: meta.nickname || getNickname(socket) || null,
role: meta.role || getRole(socket),
operatingMode: socket ? getOperatingMode(socket) : null,
operatingModeDisplay: socket ? ptzCameraService.getOperatingModeDisplay(socket.id) : null,
roverId,
roverName,
roverColor,
@@ -215,6 +179,8 @@ function buildTypingPayload(socket, meta = {}) {
socketId,
nickname: meta.nickname || getNickname(socket) || null,
role: meta.role || getRole(socket),
operatingMode: socket ? getOperatingMode(socket) : null,
operatingModeDisplay: socket ? ptzCameraService.getOperatingModeDisplay(socket.id) : null,
roverId,
roverName,
roverColor,
@@ -231,7 +197,6 @@ function buildTypingPayload(socket, meta = {}) {
module.exports = {
resolveRoverId,
isPtzChatTargetId,
isPublicChatTargetId,
isPrivateClosedRoverId,
buildRoverCtxSnapshot,
@@ -19,13 +19,6 @@ const { getLastAccessNoticeAt, setLastAccessNoticeAt } = require('./state');
function playTypingNote(roverId, note, socketId) {
if (!roverId) return;
/*
PTZ borrows the roverId field for chat badges, but it has no rover command
channel. Skipping the song command here keeps PTZ chat from producing noisy
"unknown rover" command attempts while still allowing the message itself to
behave like rover chat everywhere else.
*/
if (String(roverId) === ptzCameraService.PTZ_CAMERA_ID) return;
try {
issueCommand(roverId, {
type: 'song',
@@ -90,8 +83,8 @@ function maybeSendAccessNotice(message, sendSystemMessage) {
}
function maybeSpeak(socket, message, ttsOptions) {
if (!ttsOptions || !message?.roverId) return;
if (String(message.roverId) === ptzCameraService.PTZ_CAMERA_ID) {
if (!ttsOptions || !message) return;
if (message.operatingMode === 'ptz') {
/*
PTZ has no rover websocket, but it does have a real speaker behind the
Reolink/neolink path. Keep PTZ routing here so chat remains the single
@@ -107,6 +100,7 @@ function maybeSpeak(socket, message, ttsOptions) {
});
return;
}
if (!message.roverId) return;
const record = roverManager.rovers.get(message.roverId);
const ttsEnabled = Boolean(record?.meta?.audio?.ttsEnabled);
if (!ttsEnabled) return;
@@ -91,9 +91,9 @@ function createWebReplayTextCommand(socket, sendSystemMessage, replayApi) {
const requester = buildRequesterLabel(socket);
const jobId = buildReplayJobId('web-chat');
const attempt = replayApi.tryTriggerReplay({ by: { source: 'web-chat', requester } });
const attempt = replayApi.tryTriggerReplay({ jobId, by: { source: 'web-chat', requester } });
if (!attempt.ok) {
await message.reply({ content: `Replay denied: cooldown active. Try again in ${Math.ceil(attempt.remainingMs / 1000)}s.` });
await message.reply({ content: `Replay denied: ${attempt.error}` });
return;
}

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