# Tor collector Connects to the Tor control port to collect traffic statistics. ## Requirements - `tor` program - `stem` python package It produces only one chart: 1. **Traffic** - read - write ## Configuration Edit the `python.d/tor.conf` configuration file using `edit-config` from the Netdata [config directory](https://github.com/netdata/netdata/blob/master/docs/configure/nodes.md), which is typically at `/etc/netdata`. ```bash cd /etc/netdata # Replace this path with your Netdata config directory, if different sudo ./edit-config python.d/tor.conf ``` Needs only `control_port`. Here is an example for local server: ```yaml update_every : 1 priority : 60000 local_tcp: name: 'local' control_port: 9051 password: # if required local_socket: name: 'local' control_port: '/var/run/tor/control' password: # if required ``` ### prerequisite Add to `/etc/tor/torrc`: ``` ControlPort 9051 ``` For more options please read the manual. Without configuration, module attempts to connect to `127.0.0.1:9051`. ### Troubleshooting To troubleshoot issues with the `tor` module, run the `python.d.plugin` with the debug option enabled. The output will give you the output of the data collection job or error messages on why the collector isn't working. First, navigate to your plugins directory, usually they are located under `/usr/libexec/netdata/plugins.d/`. If that's not the case on your system, open `netdata.conf` and look for the setting `plugins directory`. Once you're in the plugin's directory, switch to the `netdata` user. ```bash cd /usr/libexec/netdata/plugins.d/ sudo su -s /bin/bash netdata ``` Now you can manually run the `tor` module in debug mode: ```bash ./python.d.plugin tor debug trace ```