我遵循了关于stackoverflow的多个教程,这些教程涉及在启动时启动python脚本,但是没有一个起作用。
我需要激活virtualenv然后启动Flask服务器
我在start.sh
中做了一个/etc/init.d/
#!/bin/sh
### BEGIN INIT INFO
# Provides: skeleton
# Required-Start: $remote_fs $syslog
# Required-Stop: $remote_fs $syslog
# Should-Start: $portmap
# Should-Stop: $portmap
# X-Start-Before: nis
# X-Stop-After: nis
# Default-Start: 2 3 4 5
# Default-Stop: 0 1 6
# X-Interactive: true
# Short-Description: Example initscript
# Description: This file should be used to construct scripts to be
# placed in /etc/init.d.
### END INIT INFO
cd /home/ion/
source /home/ion/py35/bin/activate
cd /home/ion/Desktop/flask/
nohup python main.py &
echo "Done"
它的权限是chmod在+ x
ion@aurora:/etc/init.d$ ll start.sh
-rwxr-xr-x 1 root root 625 Jun 25 19:10 start.sh*
去/etc/rc.local
#!/bin/sh -e
#
# rc.local
#
# This script is executed at the end of each multiuser runlevel.
# Make sure that the script will "exit 0" on success or any other
# value on error.
#
# In order to enable or disable this script just change the execution
# bits.
#
# By default this script does nothing.
/etc/init.d/start.sh
exit 0
没用
cronjob方法
sudo crontab -e
并附加
@reboot sh '/etc/init.d/start.sh'
也没有工作,我在哪里错了?
手动触发的日志
(py35) ion@aurora:~/Desktop/flask$ python main.py
WARNING:tensorflow:From /home/ion/Desktop/flask/encoder.py:57: calling l2_normalize (from tensorflow.python.ops.nn_impl) with dim is deprecated and will be removed in a future version.
Instructions for updating:
dim is deprecated, use axis instead
2018-06-25 19:34:05.511943: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
* Serving Flask app "main" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: on
* Running on http://localhost:5505/ (Press CTRL+C to quit)
* Restarting with stat
答案 0 :(得分:5)
1)不要使用旧的“ init.d”方法。使用现代的东西。如果您具有Ubuntu 15.04和更高版本,则可以使用Systemd创建将在启动时自动启动的守护程序。例如,如果您的Ubuntu早于15.04,请使用Upstart。
对于Systemd:
在/lib/systemd/system/you_service_name.service
中创建具有以下内容的单元文件(据我所知,您的python脚本在运行时不会生成新进程,因此Type
应该为simple
。更多信息here):
[Unit]
Description=<your_service_name>
After=network.target network-online.target
[Service]
Type=simple
User=<required_user_name>
Group=<required_group_name>
Restart=always
ExecStartPre=/bin/mkdir -p /var/run/<your_service_name>
PIDFile=/var/run/<your_service_name>/service.pid
ExecStart=/path/to/python_executable /path/to/your/script.py
[Install]
WantedBy=multi-user.target
保存此文件并重新加载systemd:
sudo systemctl daemon-reload
然后将您的服务添加到自动启动:
sudo systemctl enable you_service_name.service
您应该看到enable
操作之后Systemd创建了必需的符号链接。
重新启动并查看它是否已启动并正在运行(ps aux | grep python
或sudo systemctl status you_service_name.service
)。如果有什么奇怪的地方-检查系统日志:
sudo journalctl -xe
UPD:
要在所需的virtualenv中启动python脚本,只需在服务单元文件中使用此表达式:
ExecStart=/venv_home/path/to/python /venv_home/path/to/your/script.py
2)您也可以使用crontab
,但是您需要在其中指定所需shell的完整路径,例如:
@reboot /bin/bash /path/to/script.sh
如果您需要其他帮助-请在此处告诉我。