rpotter6298
09e7155b47
The repos now sit directly under /srv/astrape, which is also every unit's WorkingDirectory. Python prepends the working directory to sys.path for 'python -m', so the gibil checkout at /srv/astrape/gibil was shadowing the installed package: the repo root has no __init__.py, so 'gibil' resolved as a namespace portion with __file__ None, and submodules only resolved because a namespace path recomputes itself on access. Everything is installed into the venv, so nothing needs the working directory on sys.path. WorkingDirectory still matters for env/ and models/. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
29 lines
1.2 KiB
Desktop File
29 lines
1.2 KiB
Desktop File
[Unit]
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Description=Astrape Usage TCN Adaptive Training
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After=network-online.target
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Wants=network-online.target
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[Service]
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Type=oneshot
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User=gibil
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Group=gibil
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WorkingDirectory=/srv/astrape
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Environment=PYTHONUNBUFFERED=1
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Environment=PYTHONDONTWRITEBYTECODE=1
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# WorkingDirectory is /srv/astrape, which also holds the gibil checkout. Without
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# this, Python prepends the working directory to sys.path and the repo root
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# /srv/astrape/gibil shadows the installed package as a namespace portion --
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# gibil.__file__ becomes None and imports work only by accident. All code is
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# installed into the venv, so nothing needs the working directory on sys.path.
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Environment=PYTHONSAFEPATH=1
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# This host is a Xeon E5-2650 v2: no AVX2, no FMA. Torch dispatches kernels it
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# cannot execute and dies with SIGILL inside Adam, so force the scalar path.
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# The real fix is external_tcn on a GPU host; this keeps the local run alive
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# until the scheduler is pointed at it.
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Environment=ATEN_CPU_CAPABILITY=default
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# Training competes with a 5-second Modbus poll on 8 cores. Leave headroom.
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Environment=OMP_NUM_THREADS=4
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Environment=MKL_NUM_THREADS=4
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Nice=10
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ExecStart=/srv/astrape/.venv/bin/python -m astrape_oracle.scripts.tcn.schedule
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