Files
app/worker/pyproject.toml
T
stroblmeandClaude Opus 5 1a9753fa9d Let a worker say what machine it is
A worker reported its labels and nothing about the machine behind them, so the
engine could route a node to a GPU box but not tell whether that box had a GPU
free. Inventory — cores, GPUs, memory — now arrives with the hello frame, and
the run frame carries back what the engine allocated for that call.

Which is protocol 2 on both ends. GPUs are never probed: asking a vendor tool
would make the one dependency two, so a GPU is what the batch job says it was
given or what --gpus says. A worker that reports nothing still attaches and is
scheduled by its label alone.

Two things a job scheduler needs: --max-idle stops a worker started for one job
rather than letting it hold its allocation to the walltime, and a refusal is now
fatal instead of a reconnect loop that reads as a hang in a job's log.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01A6HeySA27EkGANZN95QySW
2026-08-27 08:29:35 +02:00

53 lines
1.6 KiB
TOML

[project]
name = "fluksio-worker"
version = "0.2.0"
description = "Runs Fluksio nodes on a machine the engine cannot reach"
readme = "README.md"
license = "AGPL-3.0-or-later"
license-files = ["LICENSE"]
requires-python = ">=3.12"
authors = [{ name = "Fluksio", email = "stroblme@posteo.de" }]
keywords = ["automation", "workflow", "distributed", "worker", "gpu"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Operating System :: MacOS",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Home Automation",
"Topic :: Scientific/Engineering",
"Topic :: System :: Distributed Computing",
]
dependencies = [
"websockets>=12",
]
[project.urls]
Homepage = "https://fluksio.com"
Documentation = "https://docs.fluksio.com/code/workers/"
[project.scripts]
fluksio-worker = "fluksio_worker.agent:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["fluksio_worker"]
[tool.ruff]
# The engine's config, so both distributions are linted the same way.
extend = "../backend/pyproject.toml"
[tool.ruff.lint.per-file-ignores]
# This one takes its own directory off sys.path before the rest of its imports
# run, which is the whole point of doing it there.
"fluksio_worker/worker_main.py" = ["E402"]
# Copied onto another machine it has no logger configured before it tells you
# the one dependency it is missing.
"fluksio_worker/agent.py" = ["T201"]