Documentation at https://txtorcon.readthedocs.org
For the impatient, there are two quick ways to install this:
$ pip install txtorcon
... or, if you checked out or downloaded the source:
$ python setup.py install
... or, better yet, use a virtualenv and the dev requirements:
$ virtualenv venv $ ./venv/bin/pip install -e .[dev]
For OSX, we can install txtorcon with the help of easy_install:
$ easy_install txtorcon
To avoid installing, you can just add the base of the source to your PYTHONPATH:
$ export PYTHONPATH=`pwd`:$PYTHONPATH
Then, you will want to explore the examples. Try “python examples/stream_circuit_logger.py” for instance.
On Debian testing (jessie), or with wheezy-backports (big thanks to Lunar^ for all his packaging work) you can install easily:
$ apt-get install python-txtorcon
You may also like this asciinema demo for an overview.
You’ll want to have the following options on in your
CookieAuthentication 1 CookieAuthFileGroupReadable 1
If you want to use unix sockets to speak to tor:
ControlSocketsGroupWritable 1 ControlSocket /var/run/tor/control
The defaults used by py:meth:txtorcon.build_local_tor_connection will
find a Tor on
txtorcon is a Twisted-based asynchronous Tor control protocol implementation. Twisted is an event-driven networking engine written in Python and Tor is an onion-routing network designed to improve people’s privacy and anonymity on the Internet.
The main abstraction of this library is txtorcon.TorControlProtocol which presents an asynchronous API to speak the Tor client protocol in Python. txtorcon also provides abstractions to track and get updates about Tor’s state (txtorcon.TorState) and current configuration (including writing it to Tor or disk) in txtorcon.TorConfig, along with helpers to asynchronously launch slave instances of Tor including Twisted endpoint support.
txtorcon runs all tests cleanly on:
- Debian “squeeze”, “wheezy” and “jessie”
- OS X 10.4 (naif)
- OS X 10.8 (lukas lueg)
- OS X 10.9 (kurt neufeld)
- Fedora 18 (lukas lueg)
- FreeBSD 10 (enrique fynn) (needed to install “lsof”)
- Reports from other OSes appreciated.
If instead you want a synchronous (threaded) Python controller library, check out Stem at https://stem.torproject.org/
quick implementation overview¶
txtorcon provides a class to track Tor’s current state – such as details about routers, circuits and streams – called txtorcon.TorState and an abstraction to the configuration values via txtorcon.TorConfig which provides attribute-style accessors to Tor’s state (including making changes). txtorcon.TorState provides txtorcon.Router, txtorcon.Circuit and txtorcon.Stream objects which implement a listener interface so client code may receive updates (in real time) including Tor events.
txtorcon uses trial for unit-tests and has 100% test-coverage – which is not to say I’ve covered all the cases, but nearly all of the code is at least exercised somehow by the unit tests.
Tor itself is not required to be running for any of the tests. ohcount claims around 2000 lines of code for the core bit; around 4000 including tests. About 37% comments in the not-test code.
There are a few simple integration tests, based on Docker. More are always welcome!
dependencies / requirements¶
- twisted: txtorcon should work with any
Twisted 11.1.0 or newer. Twisted 15.4.0+ works with Python3, and so does txtorcon (if you find something broken on Py3 please file a bug).
GeoIP: optional provides location information for ip addresses; you will want to download GeoLite City from MaxMind or pay them for more accuracy. Or use tor-geoip, which makes this sort-of optional, in that we’ll query Tor for the IP if the GeoIP database doesn’t have an answer. It also does ASN lookups if you installed that MaxMind database.
development: Sphinx if you want to build the documentation. In that case you’ll also need something called
python-repoze.sphinx.autointerface(at least in Debian) to build the Interface-derived docs properly.
development: coverage to run the code-coverage metrics, and Tox
optional: GraphViz is used in the tests (and to generate state-machine diagrams, if you like) but those tests are skipped if “dot” isn’t in your path
In any case, on a Debian wheezy, squeeze or Ubuntu system, this should work:
apt-get install -y python-setuptools python-twisted python-ipaddr python-geoip graphviz tor apt-get install -y python-sphinx python-repoze.sphinx.autointerface python-coverage # for development
Using pip this would be:
pip install Twisted ipaddr pygeoip pip install GeoIP Sphinx repoze.sphinx.autointerface coverage # for development
Don’t forget to install the GeoIP dev headers if you are developing:
apt-get install libgeoip-dev
pip install -r requirements.txt pip install -r dev-requirements.txt
or for the bare minimum:
pip install Twisted # will install zope.interface too
It is likely that you will need to read at least some of control-spec.txt from the torspec git repository so you know what’s being abstracted by this library.
Run “make doc” to build the Sphinx documentation locally, or rely on ReadTheDocs https://txtorcon.readthedocs.org which builds each tagged release and the latest master.
There is also a directory of examples/ scripts, which have inline documentation explaining their use.
For novelty value, the Web site (with built documentation and so forth) can be viewed via Tor at http://timaq4ygg2iegci7.onion although the code itself is hosted via git:
torsocks git clone git://timaq4ygg2iegci7.onion/txtorcon.git
git clone git://github.com/meejah/txtorcon.git
You may contact me via
meejah at meejah dot ca with GPG key
meejah.asc in the repository. The fingerprint is
2BD5 688E CB88 9DEB CD3F C260 2803 1280 69A7.
It is often possible to contact me as
meejah in #tor-dev on OFTC but be patient for replies (I do look at
scrollback, so putting “meejah: ” in front will alert my client).
More conventionally, you may get the code at GitHub and documentation via ReadTheDocs:
Please do use the GitHub issue-tracker to report bugs. Patches, pull-requests, comments and criticisms are all welcomed and appreciated.