building

Building the libtorrent python bindings will produce a shared library (DLL) which is a python module that can be imported in a python program.

The only supported build system for the bindings are currently boost build. To set up your build environment, you need to add some settings to your $BOOST_BUILD_PATH/user-config.jam.

Make sure your user config contains the following line:

using python : 2.3 ;

Set the version to the version of python you have installed or want to use. If you've installed python in a non-standard location, you have to add the prefix path used when you installed python as a second option. Like this:

using python : 2.3 : /usr ;

The bindings require at least python version 2.2.

For more information on how to install and set up boost-build, see the building libtorrent section.

Once you have boost-build set up, you cd to the bindings/python directory and invoke bjam with the apropriate settings. For the available build variants, see libtorrent build options.

For example:

$ bjam dht-support=on release link=static

On Mac OS X, this will produce the following python module:

bin/darwin-4.0/release/dht-support-on/link-static/logging-none/threading-multi/libtorrent.so

using

The python interface is nearly identical to the C++ interface. Please refer to the main library reference.

For an example python program, see client.py in the bindings/python directory.

A very simple example usage of the module would be something like this:

import libtorrent as lt
import time

ses = lt.session()
ses.listen_on(6881, 6891)

e = lt.bdecode(open("test.torrent", 'rb').read())
info = lt.torrent_info(e)

h = ses.add_torrent(info, "./", compact_mode = True)

while (not h.is_seed()):
        s = h.status()

        state_str = ['queued', 'checking', 'connecting', 'downloading metadata', \
                'downloading', 'finished', 'seeding', 'allocating']
        print '%.2f%% complete (down: %.1f kb/s up: %.1f kB/s peers: %d) %s' % \
                (s.progress * 100, s.download_rate / 1000, s.upload_rate / 1000, \
                s.num_peers, state_str[s.state])

        time.sleep(1)