==================
Pylint User Manual
==================

:Author: Sylvain Thénault
:Author: Alexandre Fayolle
:Organization: Logilab

.. contents::


This document is meant to be the reference user manual for Pylint_.  This is a
work in progress so some sections or parts may be missing (sometimes marked by a
XXX).  If you think it's lacking some important information, please talk about
it on the python-projects mailing list (see the `Mailing lists`_ section for
more information about the list).

.. _Pylint: http://www.logilab.org/project/name/pylint


Introduction
============

What is pylint?
---------------

Pylint is a tool that checks for errors in python code, tries to enforce a
coding standard and looks for smelling code. This is similar but nevertheless
different from what pychecker_ provides, especially since pychecker explicitely
does not bother with coding style. The default coding style used by pylint is
close to `PEP 008`_ (aka `Guido's style guide`_). For more information about
code smells, refer to Martin Fowler's `refactoring book`_

One important thing to note is that Pylint isn't smarter than you are: it may
warn you about things that you have conscientiously done. That's for example
because it tries to detect things that may be dangerous in a context, but maybe
not in others, or because it checks for some things that you don't care
about. Generally, you shouldn't expect pylint to be totally quiet about your
code, so don't necessarily be alarmed if it gives you a hell lot of messages for
your proudly(XXX) project ;)

Pylint will display a number of messages as it analyzes the code, as well as
some statistics about the number of warnings and errors found in different
files. The messages are classified under various categories such as errors and
warnings (more below). If you run pylint twice, it will display the statistics
from the previous run together with the ones from the current run, so that you
can see if the code has improved or not.

Last but not least, the code is given an overall mark, based on the number an
severity of the warnings and errors. This has proven to be very motivating for
programmers.

.. _pychecker: http://pychecker.sf.net
.. _`PEP 008`: http://www.python.org/dev/peps/pep-0008/
.. _`Guido's style guide`: http://www.python.org/doc/essays/styleguide.html
.. _`refactoring book`: http://www.refactoring.com/

Installation
------------

Dependancies
''''''''''''
Pylint requires the latest `logilab-astng`_ and `logilab-common`_
packages. It should be compatible with any python version greater than
2.2.0 (python 2.2 users will have to install the optik_ package).

.. _`logilab-astng`: http://www.logilab.org/project/name/astng
.. _`logilab-common`: http://www.logilab.org/project/name/common
.. _optik: http://optik.sourceforge.net/


Distributions
'''''''''''''
The source tarball is available at ftp://ftp.logilab.fr/pub/pylint.

You may apt-get a debian package by adding ::

    deb ftp://ftp.logilab.org/pub/debian unstable/

to your */etc/apt/sources.list* file. Pylint is also available in the 
standard Debian distribution (but add our public debian repository
anyway if you want to get the latest releases and upgrades earlier)

Contributed RPM packages for pylint and logilab-common are available at
ftp://ftp.nest.pld-linux.org/test.

Pylint is also available in Gentoo, Fedora 4, Ubuntu, FreeBSD, Darwin
(and maybe other, if si drop us a note please!). 


Source distribution installation
''''''''''''''''''''''''''''''''
From the source distribution, extract the tarball, go to the extracted
directory and simply run ::

    python setup.py install

You'll have to install dependancies in a similar way.

Windows users may get valuable information about pylint installation on 
`this page`_.

.. _`this page`: http://thinkhole.org/wp/2006/01/16/installing-pylint-on-windows/


Note for Windows users
''''''''''''''''''''''

On Windows, once you have installed pylint, the command line usage is ::

  pylint.bat [options] module_or_package

But this will only work if *pylint.bat* is either in the current
directory, or on your system path. (*setup.py* install install *python.bat*
to the *Scripts* subdirectory of your Python installation -- e.g.
C:\Python24\Scripts.) You can do any of the following to solve this:

1. change to the appropriate directory before running pylint.bat

2. add the Scripts directory to your path statement in your autoexec.bat
   file (this file is found in the root directory of your boot-drive)

3. create a 'redirect' batch file in a directory actually on your
   systems path

To effect (2), simply append the appropriate directory name to the PATH=
statement in autoexec.bat. Be sure to use the Windows directory
separator of ';' between entries. Then, once you have rebooted (this is
necessary so that the new path statement will take effect when
autoexec.bat is run), you will be able to invoke PyLint with
pylint.bat on the command line.

(3) is the best solution. Once done, you can call pylint at the command
line without the .bat, just as do non-Windows users by typing: ::

  pylint [options] module_or_package

To effect option (3), simply create a plain text file pylint.bat with
the single line: ::

  C:\PythonDirectory\Scripts\pylint.bat

(where PythonDirectory is replaced by the actual Python installation
directory on your system -- e.g. C:\Python24\Scripts\pylint.bat).


Invoking pylint
---------------

Pylint is meant to be called from the command line. The usage is ::

   pylint [options] module_or_package

You should give pylint the name of a Python package or module. Pylint
will ``import`` this package or module, so you should pay attention to
your ``PYTHONPATH``, since it is a common error to analyze an
installed version of a module instead of the development version.

It is also possible to analyze python files, with a few
restriction. The thing to keep in mind is that pylint will try to 
convert the file name to a module name, and only be able to process
the file if it succeeds.  ::

  pylint mymodule.py 

should always work since the current working
directory is automatically added on top of the python path ::

  pylint directory/mymodule.py

will work if "directory" is a python package (i.e. has an __init__.py
file) or if "directory" is in the python path.

For more details on this see the `Frequently Asked Questions`_.

You can also start a thin gui around pylint (require TkInter) by
typing ::

  pylint-gui

This should open a window where you can enter the name of the package
or module to check, at pylint messages will be displayed in the user
interface.


Pylint output
-------------

The default format for the output is raw text. But passing pylint the
``--output-format=html`` option will produce an HTML document.

There are several sections in pylint's output. 

Source code analysis section
''''''''''''''''''''''''''''
For each python module,
pylint will first display a few '*' characters followed by the name
of the module. Then, a number of messages with the following
format: ::

  MESSAGE_TYPE: LINE_NUM:[OBJECT:] MESSAGE

You can get another output format, useful since it's recognized by
most editors or other development tools using the ``--parseable=y``
option.

The message type can be:

  * [R]efactor for a "good practice" metric violation
  * [C]onvention for coding standard violation
  * [W]arning for stylistic problems, or minor programming issues
  * [E]rror for important programming issues (i.e. most probably bug)
  * [F]atal for errors which prevented further processing

Sometimes the line of code which caused the error is displayed with
a caret pointing to the error. This may be generalized in future
versions of pylint.

Example (extracted from a run of pylint on itself...): 

::

  ************* Module pylint.checkers.format
  W: 50: Too long line (86/80)
  W:108: Operator not followed by a space
       print >>sys.stderr, 'Unable to match %r', line
              ^
  W:141: Too long line (81/80)
  W: 74:searchall: Unreachable code
  W:171:FormatChecker.process_tokens: Redefining built-in (type)
  W:150:FormatChecker.process_tokens: Too many local variables (20/15)
  W:150:FormatChecker.process_tokens: Too many branchs (13/12)


Reports section
''''''''''''''' 
Following the analysis message, pylint will display a set of reports,
each one focusing on a particular aspect of the project, such as number
of messages by categories, modules dependancies...

For instance, the metrics report displays summaries gathered from the
current run. 

  * the number of processed modules
  * for each module, the percentage of errors and warnings
  * the total number of errors and warnings
  * percentage of classes, functions and modules with docstrings, and
    a comparison from the previous run 
  * percentage of classes, functions and modules with correct name
    (according the the coding standard), and a comparison from the
    previous run 
  * a list of external dependencies found in the code, and where they appear

Also, a global evaluation for the code is computed, and an
optional witty comment is displayed (if ``--comment=y`` was
specified on the command line).



Command line options
--------------------

First of all, we have two basic (but useful) options. 

--version             show program's version number and exit
-h, --help            show help about the command line options

Pylint is architectured around several checkers. By default all
checkers are enabled. You can disable a specific checker by specifying
``--enable-<checker>=n``, or disable all checkers using
``--disable-all`` and afterwards enable specific checkers with
``--enable-<checker>=y``. See the list of available features_ for a
description of provided checkers with their functionalities.

Each checker has some specific options, which can take either a yes/no
value, an integer, a python regular expression, or a comma separated
list of values (which are generally used to override a regular
expression in special cases). For a full list of options, use ``--help``

Specifying all the options suitable for your setup and coding
standards can be tedious, so it is possible to use a rc file to
specify the default values. Pylint looks for /etc/pylintrc and
~/.pylintrc. The ``--generate-rcfile`` option will generate a
commented configuration file according to the current configuration on
standard output and exit. You can put other options before this one to
use them in the configuration, or start with the default values and
hand tune the configuration.

Other useful global options include:

--zope                  Initialize Zope products before starting
--ignore=file           Add <file> (may be a directory) to the black
                          list. It should be a base name, not a path. 
                          You may set this option multiple times.
--statistics=y_or_n     Compute statistics on collected data.
--persistent=y_or_n     Pickle collected data for later comparisons.
--comment=y_or_n        Add a comment according to your evaluation note.
--parseable=y_or_n      Use a parseable output format.
--html=y_or_n           Use HTML as output format instead of text.
--enable-msg=msgids     Enable the given messages.
--disable-msg=msgids    Disable the given messages.
--enable-msg-cat=cats   Enable all messages in the given categories.
--disable-msg-cat=cats  Disable all messages in the given categories.
--errors-only           Enable only checkers from the error category.

.. _features: features.html

Daily pylint usage
------------------
What pylint says is not to be taken as gospel. While getting as
few false positives for errors as possible is a goal for us -- and
python makes it hard enough, it is not the case for warnings.

:Quoting Alexandre:
  My usage pattern for pylint is to generally run pylint -e quite often to
  get stupid errors flagged before launching an application (or before
  comitting). I generally run pylint with all the bells and whistles
  activated some time before a release, when I want to cleanup the code.
  And when I do that I simply ignore tons of the false warnings (and I
  can do that without being driven mad by this dumb program which is not
  smart enough to understand the dynamicity of Python because I only run
  it once or twice a week in this mode)

:Quoting Marteen Ter Huurne:
  In our project we just accepted that we have to make some modifications in our
  code to please PyLint:

  - stick to more naming conventions (unused variables ending in underscores,
    mix-in class names ending in "Mixin")
  - making all abstract methods explicit (rather than just not defining them in
    the superclass)
  - for messages which are useful in general, but not in a specific case: add "#
    pylint: disable-msg=X0123" comments
  - for PyLint bugs: add "#pylint: disable-msg=X0123" comments
  - for PyLint limitations: add "#pylint: disable-msg=X0123" comments
    (for instance Twisted's modules create a lot of definitions dynamically so
    PyLint does not know about them)

  The effort is worth it, since PyLint helps us a lot in keeping the code clean
  and finding errors early. Although most errors found by PyLint would also be
  found by the regression tests, by fixing them before committing, we save time.
  And our regression tests do not cover all code either, just the most complex
  parts.


Bug reports, feedback
---------------------
You think you have found a bug in Pylint? Well, this may be the case
since Pylint is under development. Please take the time to send a bug
report to python-projects@logilab.org if you've not found it already reported on
the `tracker page`_. This mailing list is also a nice place to
discuss Pylint issues, see below for more information about pylint's related
lists.

You can check for already reported bugs, planned features on pylint's tracker
web page: http://www.logilab.org/project/name/pylint

Notice that if you don't find something you have expected in pylint's
tracker page, it may be on the tracker page of one of its dependancies, namely
astng and common:

* http://www.logilab.org/project/name/logilab-astng
* http://www.logilab.org/project/name/logilab-common

.. _`tracker page`: http://www.logilab.org/project/name/pylint

Mailing lists
-------------
Use the python-projects@logilab.org mailing list for anything related
to Pylint. This is in most cases better than sending an email directly
to the author, since others will benefit from the exchange, and you'll
be more likely answered by someone subscribed to the list. This is a 
moderated mailing list, so if you're not subscribed email you send will have to
be validated first before actually being sent on the list.

You can subscribe to this mailing list at
http://lists.logilab.org/mailman/listinfo/python-projects

Archives are available at 
http://lists.logilab.org/pipermail/python-projects/

If you prefer speaking french instead of english, you can use the
generic forum-fr@logilab.org mailing list:

* (un)subscribe: http://lists.logilab.org/mailman/listinfo/forum-fr
* archives: http://lists.logilab.org/pipermail/forum-fr

Notice though that this list has a very low traffic since most pylint related
discussions are done on the python-projects mailing list. 



Advanced usage
==============

Base configuration
------------------

To be written...

Environment
-----------

To be written...

Messages control
----------------

An example available from the examples directory::

    """pylint option block-disable-msg"""

    __revision__ = None

    class Foo(object):
        """block-disable-msg test"""

        def __init__(self):
            pass

        def meth1(self, arg):
            """this issues a message"""
            print self

        def meth2(self, arg):
            """and this one not"""
            # pylint: disable-msg=W0613
            print self\
                  + "foo"

        def meth3(self):
            """test one line disabling"""
            # no error
            print self.bla # pylint: disable-msg=E1101
            # error
            print self.blop 

        def meth4(self):
            """test re-enabling"""
            # pylint: disable-msg=E1101
            # no error
            print self.bla
            print self.blop 
            # pylint: enable-msg=E1101
            # error
            print self.blip

        def meth5(self):
            """test IF sub-block re-enabling"""
            # pylint: disable-msg=E1101
            # no error
            print self.bla
            if self.blop:
                # pylint: enable-msg=E1101
                # error
                print self.blip
            else:
                # no error
                print self.blip
            # no error
            print self.blip

        def meth6(self):
            """test TRY/EXCEPT sub-block re-enabling"""
            # pylint: disable-msg=E1101
            # no error
            print self.bla
            try:
                # pylint: enable-msg=E1101
                # error
                print self.blip
            except UndefinedName: # pylint: disable-msg=E0602
                # no error
                print self.blip
            # no error
            print self.blip

        def meth7(self):
            """test one line block opening disabling"""
            if self.blop: # pylint: disable-msg=E1101
                # error
                print self.blip
            else:
                # error
                print self.blip
            # error
            print self.blip


        def meth8(self):
            """test late disabling"""
            # error
            print self.blip
            # pylint: disable-msg=E1101
            # no error
            print self.bla
            print self.blop 



About analysis
==============

Pylint heuristics
-----------------

To be written...

About astng inference
---------------------

To be written...



Enhancing Pylint
================

Writing your own checker
------------------------
You can find some simple examples in the examples
directory of the distribution (custom.py and custom_raw.py). I'll try to
quickly explain the essentials here.

First, there are two kinds of checkers :
* raw checkers, which are analysing each module as a raw file stream
* ast checkers, which are working on an ast representation of the module

The ast representation used is an extension of the one provided with the
standard python distribution in the `compiler package`_. The extension
adds additional information and methods on the tree nodes to ease
navigation and code introspection.

An AST checker is a visitor, and should implement
visit_<lowered class name>
leave_<lowered class name>
methods for the nodes it's interested in. To get description of the different
classes used in an ast tree, look at the `compiler.ast documentation`. 
Checkers are ordered by priority. For each module, pylint's engine:

1. give the module source file as a stream to raw checkers
2. get an ast representation for the module
3. make a depth first descent of the tree, calling visit_<> on each AST
   checker when entering a node, and living_<> on the back traversal

Notice that the source code is probably the best source of
documentation, it should be clear and well documented. Don't hesitate to
ask for any information on the python-projects mailing list.

.. _`compiler package`: http://python.org/doc/current/lib/module-compiler.html
.. _`compiler.ast documentation`: http://www.python.org/doc/current/lib/module-compiler.ast.html


Contribute !
------------
All our software is developped using the mercurial_ version control
system. This is a very cool distributed vcs and its usage is very similar to
other ones such as cvs or subversion (though the distributed feature introduced
some different usage patterns). See mercurial home page for installation on
your computer and basic usage. Note that it's very easy to send us patches using
`hg email` command ;).

You can get the in-development pylint source code from our public mercurial_
repository:

http://www.logilab.org/src/pylint

The same is true for pylint dependancies (if you use pylint code from the
repository, you should usually use code from the repository as well for astng
and common):

http://www.logilab.org/src/logilab/astng
http://www.logilab.org/src/logilab/common

.. _mercurial: http://www.selenic.com/mercurial/



Other information
=================

IDE integration
---------------
Pylint is integrated in the following editors/IDEs:

* emacs (of course)
* eric3
* eclipse (using the pydev_ plugin, see also
  http://msdl.cs.mcgill.ca/MSDL/people/denis/meetings/pythonDev) 

To use pylint from within vim, see
http://www.gonzo.kiev.ua/projects/pylint.vim 

To use pylint from within komodo_, see
http://mateusz.loskot.net/2006/01/15/running-pylint-from-komodo/ 

To use pylint from within gedit_, see
http://live.gnome.org/Gedit/PylintPlugin

.. _pydev: http://pydev.sourceforge.net
.. _komodo: http://www.activestate.com/Products/Komodo/
.. _gedit: http://www.gnome.org/projects/gedit/

Some projects using Pylint
--------------------------
The following projects are known to use pylint to help develop better
code: 

* OSAF Chandler (http://www.osafoundation.org/)
* Xen (http://www.xensource.com/)
* CPS (http://www.nuxeo.org)
* ERP5 (http://www.erp5.org/)
* pyxmpp (http://pyxmpp.jabberstudio.org/)
* mercurial 
* eXe (http://exelearning.org/)
* PrimaGIS (http://www.primagis.org)
* python-cdd (http://projetos.ossystems.com.br/python-cdd/)
* CDSWare (http://cdsware.cern.ch/)
* ASE (http://dcwww.camp.dtu.dk/campos/ASE/intro.html)
* RunJob (http://projects.fnal.gov/runjob/)
* Slugathon (http://slugathon.python-hosting.com/)
* Topographica (http://topographica.org/Home/index.html) (at least they intend to do so)
* http://browsershots.org 
* many more... 

Also notice that the CheeseCake_ kwalitee reporting tool uses pylint to
analyze the source code.

.. _CheeseCake: http://cheesecake.sourceforge.net/



.. include:: FAQ.txt




