[Unit]
Description=Astrape Usage TCN Adaptive Training
After=network-online.target
Wants=network-online.target

[Service]
Type=oneshot
User=gibil
Group=gibil
WorkingDirectory=/srv/astrape
Environment=PYTHONUNBUFFERED=1
Environment=PYTHONDONTWRITEBYTECODE=1
# WorkingDirectory is /srv/astrape, which also holds the gibil checkout. Without
# this, Python prepends the working directory to sys.path and the repo root
# /srv/astrape/gibil shadows the installed package as a namespace portion --
# gibil.__file__ becomes None and imports work only by accident. All code is
# installed into the venv, so nothing needs the working directory on sys.path.
Environment=PYTHONSAFEPATH=1
# This host is a Xeon E5-2650 v2: no AVX2, no FMA. Torch dispatches kernels it
# cannot execute and dies with SIGILL inside Adam, so force the scalar path.
# The real fix is external_tcn on a GPU host; this keeps the local run alive
# until the scheduler is pointed at it.
Environment=ATEN_CPU_CAPABILITY=default
# Training competes with a 5-second Modbus poll on 8 cores. Leave headroom.
Environment=OMP_NUM_THREADS=4
Environment=MKL_NUM_THREADS=4
Nice=10
ExecStart=/srv/astrape/.venv/bin/python -m astrape_oracle.scripts.tcn.schedule