This Docker container lets you run Transmission with WebUI while connecting to PIA VPN. It updates Transmission hourly with assigned open port from PIA. Please read the instructions below.
or you could optionally specify which vpn server to use by setting an environment variable to one of the ovpn configs avaliable [in this folder](https://github.com/haugene/docker-transmission-openvpn/tree/master/piaconfig).
As you can see, the container expects a data volume to be mounted. It is used for storing your downloads from Transmission. The container comes with a default Transmission `settings.json` file that expects the folders `completed`, `incomplete`, and `watch` to be present in /your/storage/path (aka /data). This is where Transmission will store your downloads, incomplete downloads and a watch directory to look for new .torrent files.
The only mandatory configuration is to set two environment variables for your PIA username and password. You must set the environment variables `PIA_USERNAME` and `PIA_PASSWORD` to your login credentials. The container will connect to the Private Internet Access VPN servers in Netherlands by default.
As described in the "Run container from Docker registry" section, this will start a container with default settings. This means that you should have the folders "completed, incomplete and watch" in /your/storage/path, and pia-credentials.txt in /your/config/path.
But what's going on? My http://my-host:9091 isn't responding?
This is because the VPN is active, and since docker is running in a different ip range than your client the response to your request will be treated as "non-local" traffic and therefore be routed out through the VPN interface.
### How to fix this
There are several ways to fix this. You can pipe and do fancy iptables or ip route configurations on the host and in the Docker image. But I found that the simplest solution is just to proxy my traffic. Start a Nginx container like this:
If you want do have access inside the container while running you have two choices. To have a look inside an already running container, use docker exec to get a terminal inside the container.