Parse gdb machine interface output with Python
Project description
pygdbmi - Get Structured Output from GDB’s Machine Interface
Official Homepage and Documentation
Parse gdb machine interface string output and return structured data types (Python dicts) that are JSON serializable. Useful for writing the backend to a gdb frontend. For example, gdbgui uses pygdbmi on the backend.
Also implements a class to control gdb, GdbController, which allows programmatic control of gdb using Python, which is also useful if creating a front end.
To get machine interface output from gdb, run gdb with the --interpreter=mi2 flag.
Installation
pip install pygdbmi
Compatibility
Operating Systems
Ubuntu 14.04+
- OSX:
Follow these instructions to codesign gdb if you get an error about (please check gdb is codesigned - see taskgated(8))
Windows
gdb versions
gdb 7.7+
Examples
gdb mi has the following type of ugly, but structured, example output:
-> -break-insert main <- ^done,bkpt={number="1",type="breakpoint",disp="keep", enabled="y",addr="0x08048564",func="main",file="myprog.c", fullname="/home/nickrob/myprog.c",line="68",thread-groups=["i1"], times="0"} <- (gdb)
Use pygdbmi.gdbmiparser.parse_response to turn that string output into a JSON serializable dictionary
from pygdbmi import gdbmiparser from pprint import pprint response = gdbmiparser.parse_response('^done,bkpt={number="1",type="breakpoint",disp="keep", enabled="y",addr="0x08048564",func="main",file="myprog.c",fullname="/home/nickrob/myprog.c",line="68",thread-groups=["i1"],times="0"') pprint(response) > {'message': 'done', 'payload': {'bkpt': {'addr': '0x08048564', 'disp': 'keep', 'enabled': 'y', 'file': 'myprog.c', 'fullname': '/home/nickrob/myprog.c', 'func': 'main', 'line': '68', 'number': '1', 'thread-groups': ['i1'], 'times': '0', 'type': 'breakpoint'}}, 'type': 'result'}
Ain’t that better?
But how do you get the gdb output into Python in the first place? If you want, pygdbmi also has a class to control gdb as subprocess. You can write commands, and get structured output back:
from pygdbmi.gdbcontroller import GdbController from pprint import pprint # Start gdb process gdbmi = GdbController() # Load binary a.out and get structured response response = gdbmi.write('-file-exec-file a.out') pprint(response) [{'message': u'thread-group-added', 'payload': {u'id': u'i1'}, 'type': 'notify'}, {'message': u'done', 'payload': None, 'type': 'result'}]
Now do whatever you want with gdb. All gdb commands, as well as gdb machine interface commands are acceptable. gdb mi commands give better structured output that is machine readable, rather than gdb console output. mi commands begin with a -.
response = gdbmi.write('-break-insert main') response = gdbmi.write('-exec-run') response = gdbmi.write('next') response = gdbmi.write('next') response = gdbmi.write('continue') response = gdbmi.exit()
Parsed Output Description
Each parsed gdb response consists of a list of dictionaries. Each dictionary has keys message, payload, token, and type.
message contains a textual message from gdb, which is not always present. When missing, this is None.
payload contains the content of gdb’s output, which can contain any of the following: dictionary, list, string. This too is not always present, and can be None depending on the response.
token If an input command was prefixed with a (optional) token then the corresponding output for that command will also be prefixed by that same token. This field is only present for pygdbmi output types nofity and result. When missing, this is None.
The type is defined based on gdb’s various mi output record types, and can be
result - the result of a gdb command, such as done, running, error, etc.
notify - additional async changes that have occurred, such as breakpoint modified
console - textual responses to cli commands
log - debugging messages from gdb’s internals
output - output from target
target - output from remote target
done - when gdb has finished its output
Contributing
Set up a new virtual environment, then clone this repo and run pip install -r requirements.txt.
Confirm unit tests are working with python setup.py test, then begin development.
Update unit tests as necessary at pygdbmi/tests/test\_app.py.
See Also
gdbgui implements a browser-based frontend to gdb, using pygdbmi on the backend
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