Python 作为systemd服务运行mlflow-未找到gunicorn

我试图运行一个安装在virtualenv内部的mlflow跟踪服务器，作为Ubuntu 20.04上的systemd服务，但我收到一个错误，表明它找不到gunicorn。这是我的日记

nov 27 10:37:17 Atrium-Power mlflow[81375]: Traceback (most recent call last):
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/bin/mlflow", line 8, in <module>
nov 27 10:37:17 Atrium-Power mlflow[81375]:     sys.exit(cli())
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/click/core.py", line 829, in __call__
nov 27 10:37:17 Atrium-Power mlflow[81375]:     return self.main(*args, **kwargs)
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/click/core.py", line 782, in main
nov 27 10:37:17 Atrium-Power mlflow[81375]:     rv = self.invoke(ctx)
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/click/core.py", line 1259, in invoke
nov 27 10:37:17 Atrium-Power mlflow[81375]:     return _process_result(sub_ctx.command.invoke(sub_ctx))
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/click/core.py", line 1066, in invoke
nov 27 10:37:17 Atrium-Power mlflow[81375]:     return ctx.invoke(self.callback, **ctx.params)
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/click/core.py", line 610, in invoke
nov 27 10:37:17 Atrium-Power mlflow[81375]:     return callback(*args, **kwargs)
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/mlflow/cli.py", line 392, in server
nov 27 10:37:17 Atrium-Power mlflow[81375]:     _run_server(
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/mlflow/server/__init__.py", line 138, in _run_server
nov 27 10:37:17 Atrium-Power mlflow[81375]:     exec_cmd(full_command, env=env_map, stream_output=True)
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/site-packages/mlflow/utils/process.py", line 34, in exec_cmd
nov 27 10:37:17 Atrium-Power mlflow[81375]:     child = subprocess.Popen(
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/subprocess.py", line 947, in __init__
nov 27 10:37:17 Atrium-Power mlflow[81375]:     self._execute_child(args, executable, preexec_fn, close_fds,
nov 27 10:37:17 Atrium-Power mlflow[81375]:   File "/home/praxasense/.miniconda3/envs/mlflow-server/lib/python3.9/subprocess.py", line 1819, in _execute_child
nov 27 10:37:17 Atrium-Power mlflow[81375]:     raise child_exception_type(errno_num, err_msg, err_filename)
nov 27 10:37:17 Atrium-Power mlflow[81375]: FileNotFoundError: [Errno 2] No such file or directory: 'gunicorn'

奇怪的是，如果我在我的终端中从

ExecStart

运行命令，它在fish shell中可以正常工作，但在bash中不行，但是如果我执行

conda激活mlflow服务器

，然后执行

mlflow…

它确实可以工作。据我所知，Python解释器应该知道它的虚拟环境，因此它应该像我尝试的那样工作，但显然我遗漏了一些东西，使它无法找到gunicon包，它显然就在那里

---

有什么想法吗？

尝试将venv的bin路径添加到systemd运行的环境中：

[Service]
...
Environment="PATH=/home/praxasense/.miniconda3/envs/mlflow-server/bin"
...

---

我还建议设置

KillMode=mixed

，因为如果您以其他方式终止服务，MLFlow将生成gunicorn实例，而这些实例不会被终止

mixed

意味着子进程也将被终止。

Nice认为它与搜索路径有关，而搜索路径是virtualenv的关键部分。谢谢你的额外提示！

[Service]
...
Environment="PATH=/home/praxasense/.miniconda3/envs/mlflow-server/bin"
...