Skip to content

Latest commit

 

History

History
272 lines (201 loc) · 11.9 KB

README.md

File metadata and controls

272 lines (201 loc) · 11.9 KB
Raw

pygdbmi - Get Structured Output from GDB's Machine Interface

Test status PyPI version

Documentation https://cs01.github.io/pygdbmi

Source Code https://github.com/cs01/pygdbmi

Python (py) gdb machine interface (mi)

GDB/MI is a line based machine oriented text interface to GDB and is activated by specifying using the --interpreter command line option (see Mode Options). It is specifically intended to support the development of systems which use the debugger as just one small component of a larger system.

What's in the box?

  1. A function to 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.
  2. A Python class to control and interact with gdb as a subprocess

To get machine interface output from gdb, run gdb with the --interpreter=mi2 flag like so:

gdb --interpreter=mi2

Installation

pip install pygdbmi

Compatibility

Operating Systems

Cross platform support for Linux, macOS and Windows

  • Linux/Unix

    Ubuntu 14.04 and 16.04 have been tested to work. Other versions likely work as well.

  • macOS

    Note: the error please check gdb is codesigned - see taskgated(8) can be fixed by codesigning gdb with these instructions. If the error is not fixed, please create an issue in github.

  • Windows

    Windows 10 has been tested to work with MinGW and cygwin.

gdb versions

  • gdb 7.6+ has been tested. Older versions may work as well.

Examples

gdb mi defines a syntax for its output that is suitable for machine readability and scripting: example output:

-> -break-insert main
<- ^done,bkpt={number="1",type="breakpoint",disp="keep",
enabled="y",addr="0x08048564",func="main",file="myprog.c",
fullname="/home/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/myprog.c",line="68",thread-groups=["i1"],times="0"')
pprint(response)
pprint(response)
# Prints:
# {'message': 'done',
#  'payload': {'bkpt': {'addr': '0x08048564',
#                       'disp': 'keep',
#                       'enabled': 'y',
#                       'file': 'myprog.c',
#                       'fullname': '/home/myprog.c',
#                       'func': 'main',
#                       'line': '68',
#                       'number': '1',
#                       'thread-groups': ['i1'],
#                       'times': '0',
#                       'type': 'breakpoint'}},
#  'token': None,
#  'type': 'result'}

Programmatic Control Over gdb

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()
print(gdbmi.command)  # print actual command run as subprocess
# Load binary a.out and get structured response
response = gdbmi.write('-file-exec-file a.out')
pprint(response)
# Prints:
# [{'message': 'thread-group-added',
#   'payload': {'id': 'i1'},
#   'stream': 'stdout',
#   'token': None,
#   'type': 'notify'},
#  {'message': 'done',
#   'payload': None,
#   'stream': 'stdout',
#   'token': 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')  # machine interface (MI) commands start with a '-'
response = gdbmi.write('break main')  # normal gdb commands work too, but the return value is slightly different
response = gdbmi.write('-exec-run')
response = gdbmi.write('run')
response = gdbmi.write('-exec-next', timeout_sec=0.1)  # the wait time can be modified from the default of 1 second
response = gdbmi.write('next')
response = gdbmi.write('next', raise_error_on_timeout=False)
response = gdbmi.write('next', raise_error_on_timeout=True, timeout_sec=0.01)
response = gdbmi.write('-exec-continue')
response = gdbmi.send_signal_to_gdb('SIGKILL')  # name of signal is okay
response = gdbmi.send_signal_to_gdb(2)  # value of signal is okay too
response = gdbmi.interrupt_gdb()  # sends SIGINT to gdb
response = gdbmi.write('continue')
response = gdbmi.exit()

Parsed Output Format

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

Documentation fixes, bug fixes, performance improvements, and functional improvements are welcome. You may want to create an issue before beginning work to make sure I am interested in merging it to the master branch.

pygdbmi uses nox for automation.

See available tasks with

nox -l

Run tests and lint with

nox -s tests
nox -s lint

Positional arguments passed to nox -s tests are passed directly to pytest. For instance, to run only the parse tests use

nox -s tests -- tests/test_gdbmiparser.py

See pytest's documentation for more details on how to run tests.

To format code using the correct settings use

nox -s format

Or, to format only specified files, use

nox -s format -- example.py pygdbmi/IoManager.py

Making a release

Only maintainers of the pygdbmi package on PyPi can make a release.

In the following steps, replace these strings with the correct values:

  • <REMOTE> is the name of the remote for the main pygdbmi repository (for instance, origin)
  • <VERSION> is the version number chosen in step 2.

To make a release:

  1. Checkout the master branch and pull from the main repository with git pull <REMOTE> master

  2. Decide the version number for the new release; we follow Semantic Versioning but prefixing the version with 0.: given a version number 0.SECOND.THIRD.FOURTH, increment the:

    • SECOND component when you make incompatible API changes
    • THIRD component when you add functionality in a backwards compatible manner
    • FOURTH component when you make backwards compatible bug fixes

  3. Update CHANGELOG.md to list the chosen version number instead of ## dev

  4. Update __version__ in pygdbmi/__init__.py to the chosen version number

  5. Create a branch, for instance using git checkout -b before-release-<VERSION>

  6. Commit your changes, for instance using git commit -a -m 'Bump version to <VERSION> for release'

  7. Check that the docs look fine by serving them locally with nox -s serve_docs

  8. Push the branch, for instance with git push --set-upstream <REMOTE> before-release-<VERSION>

  9. If tests pass on the PR you created, you can merge into master

  10. Go to the new release page and prepare the release:

    • Add a tag in the form v<VERSION> (for example v0.1.2.3)
    • Set the title to pygdbmi v<VERSION> (for example pygdbmi v0.1.2.3)
    • Copy and paste the section for the new release only from CHANGELOG.md excluding the line with the version number
    • Press “Publish release”

  11. Publish the release to PyPI with nox -s publish

  12. Publish the docs with nox -s publish_docs

  13. Verify that the PyPi page for pygdbmi looks correct

  14. Verify that the published docs look correct

  15. Prepare for changes for the next release by adding something like this above the previous entries in CHANGELOG.md (where <VERSION+1> is <VERSION> with the last digit increaded by 1):

    ## <VERSION+1>.dev0

- *Replace this line with new entries*

  16. Create a branch for the changes with git checkout -b after-release-<VERSION>

  17. Commit the change with git commit -m 'Prepare for work on the next release' CHANGELOG.md

  18. Push the branch with git push --set-upstream <REMOTE> after-release-<VERSION>

  19. If tests pass, merge into master

Similar projects

Projects Using pygdbmi

  • gdbgui implements a browser-based frontend to gdb, using pygdbmi on the backend
  • PINCE is a gdb frontend that aims to provide a reverse engineering tool and a reusable library focused on games. It uses pygdbmi to parse gdb/mi based output for some functions
  • avatar² is an orchestration framework for reversing and analysing firmware of embedded devices. It utilizes pygdbmi for internal communication to different analysis targets.
  • UDB is a proprietary time-travel debugger for C and C++ based on GDB. It uses pygdbmi in its extensive test suite to parse the debugger's output.
  • pwndbg-gui is a user-friendly graphical interface for pwndbg, a tool that simplifies exploit development and reverse engineering with GDB. It uses pygdbmi to interact with GDB and get structured responses.
  • Know of another project? Create a PR and add it here.

Authors