[supervisord]
nodaemon=true
user=root
logfile=/var/log/supervisord.log
pidfile=/run/supervisord.pid

[unix_http_server]
file=/run/supervisor.sock

[supervisorctl]
serverurl=unix:///run/supervisor.sock

[rpcinterface:supervisor]
supervisor.rpcinterface_factory = supervisor.rpcinterface:make_main_rpcinterface

[program:xvnc]
command=/app/docker/run-if-role.sh full,browser /app/docker/run-xvnc.sh
priority=100
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:pulse]
command=/app/docker/run-if-role.sh full,browser /app/docker/run-pulse.sh
priority=150
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:xfce]
command=/app/docker/run-if-role.sh full,browser /app/docker/run-xfce.sh
priority=200
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:novnc]
command=/app/docker/run-if-role.sh full,browser websockify --web=/usr/share/novnc 6080 localhost:5901
priority=250
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:melo-worker]
; Warm MeloTTS Korean voice (speed 1.5) in its own py3.11 venv. The bridge's
; synthesize() POSTs here; if this is down the bridge falls back to Piper.
command=/app/docker/run-if-role.sh full,bot /opt/melo/bin/python /app/bridge/melo_worker.py
directory=/app
; HF_HOME points at the dedicated, image-baked melo cache (warmed in
; setup-melo.sh). The brain's whisper_cache volume is mounted over
; /root/.cache/huggingface, so without this the pre-cached BERT + KR checkpoint
; would be shadowed and re-downloaded (and would fail if the host is offline).
; HF_HUB_OFFLINE/TRANSFORMERS_OFFLINE force pure-cache reads: the pinned old
; transformers/huggingface_hub otherwise retry the network on every load and
; error out instead of falling back to the (complete) baked cache.
; MELO_DEVICE and MELO_SPEED inherit from the container env (compose sets both
; with defaults: cuda / 1.5) so the worker runs MeloTTS on the GPU at the
; configured rate. supervisord interpolates %(ENV_x)s from its own environment,
; which is the container's — so MELO_SPEED must always be set in the env
; (compose guarantees it) or this expansion fails at startup. Hardcoding 1.5
; here previously shadowed the .env value, so lowering MELO_SPEED had no effect.
environment=MELO_LANGUAGE="KR",MELO_SPEED="%(ENV_MELO_SPEED)s",MELO_DEVICE="%(ENV_MELO_DEVICE)s",MELO_WORKER_HOST="127.0.0.1",MELO_WORKER_PORT="8770",HF_HOME="/opt/melo-cache",HF_HUB_OFFLINE="1",TRANSFORMERS_OFFLINE="1"
priority=280
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:bridge]
command=/app/docker/run-if-role.sh full,bot /opt/venv/bin/python -m bridge.server
directory=/app
priority=300
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:chrome]
command=/app/docker/run-if-role.sh full,browser /app/docker/run-chrome.sh
priority=350
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:control-server]
; Browser-control HTTP endpoint on the BROWSER HOST. A remote `bot` posts
; commands here so xdotool / CDP run on THIS machine (real input on this
; screen). Only meaningful in full/browser roles. Internal network only.
command=/app/docker/run-if-role.sh full,browser node /app/bot/scripts/stream-test/control-server.mjs
directory=/app/bot
priority=360
autorestart=true
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0

[program:bot]
command=/app/docker/run-if-role.sh full,bot /app/docker/run-bot.sh
directory=/app/bot
priority=400
autorestart=true
startretries=999
stdout_logfile=/dev/stdout
stdout_logfile_maxbytes=0
stderr_logfile=/dev/stderr
stderr_logfile_maxbytes=0