You can simply manage a daemon that runs as a background process. This can be achieved by using any of the notes below or by writing your own solution.
If you just want to use the image and don't want to build them yourself, you can always use the official image at the [Docker Hub](https://hub.docker.com/r/pykmsorg/py-kms) (`pykmsorg/py-kms`). To ensure that you are using always the
latest version you should check something like [watchtower](https://github.com/containrrr/watchtower) out !
You can use `docker-compose` instead of building and running the Dockerfile, so you do not need to respecify your settings again and again. The following Docker Compose file will deploy the `latest` image with the log into your local directory.
```yaml
version: '3'
services:
kms:
image: pykmsorg/py-kms:latest
ports:
- 1688:1688
environment:
- IP=0.0.0.0
- SQLITE=true
- HWID=RANDOM
- LOGLEVEL=INFO
- LOGSIZE=2
- LOGFILE=/var/log/pykms_logserver.log
restart: always
volumes:
- /etc/localtime:/etc/localtime:ro
- ./:/var/log:rw
```
#### Parameters
Below is a fully expanded run command, detailing all the different supported environment variables to set. For further reference see the [start parameters](Usage.html#docker-environment) for the docker environment.
```bash
docker run -it -d --name py3-kms \
-p 8080:8080 \
-p 1688:1688 \
-e IP=0.0.0.0 \
-e PORT=1688 \
-e SQLITE=true \
-e HWID=RANDOM \
-e LOGLEVEL=INFO \
-e LOGSIZE=2 \
-e LOGFILE=/var/log/pykms_logserver.log \
-v /etc/localtime:/etc/localtime:ro \
-v /var/log:/var/log:rw \
--restart unless-stopped pykmsorg/py-kms:[TAG]
```
You can omit the `-e SQLITE=...` and `-p 8080:8080` option if you plan to use the `minimal` or `latest` image, which does not include the respective module support.
If you are running a Linux distro using `systemd`, create the file: `sudo nano /etc/systemd/system/py3-kms.service`, then add the following (change it where needed) and save:
start the daemon `sudo systemctl start py3-kms.service` and view its status `sudo systemctl status py3-kms.service`. Check if daemon is correctly running with `cat </path/to/your/log/files/folder>/pykms_logserver.log`. Finally a
few generic commands useful for interact with your daemon [here](https://linoxide.com/linux-how-to/enable-disable-services-ubuntu-systemd-upstart/).
### Etrigan
You can run py-kms daemonized (via [Etrigan](https://github.com/SystemRage/Etrigan)) using a command like `python3 pykms_Server.py etrigan start` and stop it with `python3 pykms_Server.py etrigan stop`. With Etrigan you have another
way to launch py-kms GUI (specially suitable if you're using a virtualenv), so `python3 pykms_Server.py etrigan start -g` and stop the GUI with `python3 pykms_Server.py etrigan stop` (or interact with the `EXIT` button).
### Upstart (deprecated)
If you are running a Linux distro using `upstart` (deprecated), create the file: `sudo nano /etc/init/py3-kms.conf`, then add the following (change it where needed) and save:
Check syntax with `sudo init-checkconf -d /etc/init/py3-kms.conf`, then reload upstart to recognise this process `sudo initctl reload-configuration`. Now start the service `sudo start py3-kms`, and you can see the logfile
stating that your daemon is running: `cat </path/to/your/log/files/folder>/pykms_logserver.log`. Finally a few generic commands useful for interact with your daemon [here](https://eopio.com/linux-upstart-process-manager/).
### Windows
If you are using Windows, to run `pykms_Server.py` as service you need to install [pywin32](https://sourceforge.net/projects/pywin32/), then you can create a file for example named `kms-winservice.py` and put into it this code:
```python
import win32serviceutil
import win32service
import win32event
import servicemanager
import socket
import subprocess
class AppServerSvc (win32serviceutil.ServiceFramework):
Now in a command prompt type `C:\Windows\Python27\python.exe kms-winservice.py install` to install the service. Display all the services with `services.msc` and find the service associated with _py-kms_, change the startup type
from `manual` to `auto`. Finally `Start` the service. If this approach fails, you can try to use [Non-Sucking Service Manager](https://nssm.cc/) or Task Scheduler as described [here](https://blogs.esri.com/esri/arcgis/2013/07/30/scheduling-a-scrip/).
In the example above is `192.168.1.102` the ip we want to listen on, so it is this command (**note you can omit the ip AND port specification if you just wish to listen on all interfaces with port 1688**):
- To view a minimal set of logging information use `-V MININFO` option, for example: `python3 pykms_Server.py -F /path/to/your/logfile.log -V MININFO`.
- To redirect logging on stdout use `-F STDOUT` option, for example: `python3 pykms_Server.py -F STDOUT -V DEBUG`.
- You can create logfile and view logging information on stdout at the same time with `-F FILESTDOUT` option, for example: `python3 pykms_Server.py -F FILESTDOUT /path/to/your/logfile.log -V DEBUG`.
- With `-F STDOUTOFF` you disable all stdout messages (but a logfile will be created), for example: `python3 pykms_Server.py -F STDOUTOFF /path/to/your/logfile.log -V DEBUG`.
- With `-F FILEOFF` you disable logfile creation.
- Select timeout (seconds) for py-kms with `-t0` option, for example `python3 pykms_Server.py -t0 10`.
