There are multiple advantages of using Python's logging module:
- advanced message formatting (file name, line number, etc.),
- multiple logging targets (e.g. stderr, file, socket),
- logging levels (e.g. DEBUG, INFO, ERROR),
- the pythonic way ;)
so, let's replace multiple print() calls by logging calls,
add use the following logging message format by default:
[%(levelname)s] %(filename)s:%(lineno)d %(message)s
Examples:
[INFO] ctrl_if_bts.py:57 Starting transceiver...
[DEBUG] clck_gen.py:87 IND CLOCK 26826
[DEBUG] ctrl_if_bts.py:71 Recv POWEROFF cmd
[INFO] ctrl_if_bts.py:73 Stopping transceiver...
[INFO] fake_trx.py:127 Shutting down...
Please note that there is no way to filter messages by logging
level yet. This is to be introduced soon, together with argparse.
Change-Id: I7fcafabafe8323b58990997a47afdd48b6d1f357
The Scapy itself was the actual cause of continuously growing
memory consumption. It was configured to store the captured
packets, what isn't required for this tool.
Change-Id: I0c6d9b76398e148b7febd94aa37aa2fa22d19b3f
This toolkit has branched out into several different tools for
TRX interface hacking, and creating a virtual Um-interface
(FakeTRX) is only one of its potential applications.
Change-Id: I56bcbc76b9c273d6b469a2bb68ddc46f3980e835
Vadim Yanitskiy