ipdb exports functions to access the IPython debugger, which features tab completion, syntax highlighting, better tracebacks, better introspection with the same interface as the pdb module.
import ipdb ipdb.set_trace() ipdb.set_trace(context=5) # will show five lines of code # instead of the default three lines # or you can set it via IPDB_CONTEXT_SIZE env variable # or setup.cfg file ipdb.pm() ipdb.run('x = 3') result = ipdb.runcall(function, arg0, arg1, kwarg='foo') result = ipdb.runeval('f(1,2) - 3')
Arguments for set_trace
The set_trace function accepts context which will show as many lines of code as defined, and cond, which accepts boolean values (such as abc == 17) and will start ipdb's interface whenever cond equals to True.
Using configuration file
It's possible to set up context using a .ipdb file on your home folder or setup.cfg on your project folder. You can also set your file location via env var $IPDB_CONFIG. Your environment variable has priority over the home configuration file, which in turn has priority over the setup config file. Currently, only context setting is available.
A valid setup.cfg is as follows
A valid .ipdb is as follows
The post-mortem function,
ipdb.pm(), is equivalent to the magic function
If you install
ipdb with a tool which supports
setuptools entry points, an
ipdb script is made for you. You can use it to debug your python 2 scripts like
$ bin/ipdb mymodule.py
And for python 3
$ bin/ipdb3 mymodule.py
Alternatively with Python 2.7 only, you can also use
$ python -m ipdb mymodule.py
You can also enclose code with the
with statement to launch ipdb if an exception is raised:
from ipdb import launch_ipdb_on_exception with launch_ipdb_on_exception(): [...]
Context managers were introduced in Python 2.5. Adding a context manager implies dropping Python 2.4 support. Use
ipdb==0.6 with 2.4.
from future import print_function for Python 3 compat implies dropping Python 2.5 support. Use
ipdb<=0.8 with 2.5.
Some tools, like
nose fiddle with
ipdb==0.9.4, we tried to guess when we should also fiddle with
stdout to support those tools. However, all strategies tried until 0.9.4 have proven brittle.
If you use
nose or another tool that fiddles with
stdout, you should explicitly ask for
stdout fiddling by using
ipdb like this
import ipdb ipdb.sset_trace() ipdb.spm() from ipdb import slaunch_ipdb_on_exception with slaunch_ipdb_on_exception(): [...]
ipdb source code and tracker are at https://github.com/gotcha/ipdb.
Pull requests should take care of updating the changelog
To test your changes, make use of
manual_test.py. Create a virtual environment, install IPython and run
python manual_test.py and check if your changes are in effect. If possible, create automated tests for better behaviour control.
Zope2 Products.PDBDebugMode uses
ipdb, if available, in place of
iw.debug allows you to trigger an
ipdb debugger on any published object of a Zope2 application.