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pylint-django is a Pylint plugin for improving code
analysis when analysing code using Django. It is also used by the
Prospector tool.
Installation
To install:
pip install pylint-django
WARNING:pylint-django will not install Django by default because
this causes more trouble than good,
see discussion. If you wish
to automatically install the latest version of Django then:
pip install pylint-django[with-django]
otherwise sort out your testing environment and please DO NOT report issues
about missing Django!
Usage
Ensure pylint-django is installed and on your path. In order to access some
of the internal Django features to improve pylint inspections, you should also
provide a Django settings module appropriate to your project. This can be done
either with an environment variable:
If you do not configure Django, default settings will be used but this will not include, for
example, which applications to include in INSTALLED_APPS and so the linting and type inference
will be less accurate. It is recommended to specify a settings module.
Prospector
If you have prospector installed, then pylint-django will already be
installed as a dependency, and will be activated automatically if Django is
detected:
prospector [..other options..]
Features
Prevents warnings about Django-generated attributes such as
Model.objects or Views.request.
Prevents warnings when using ForeignKey attributes ("Instance of
ForeignKey has no <x> member").
Fixes pylint's knowledge of the types of Model and Form field attributes
Validates Model.__unicode__ methods.
Meta informational classes on forms and models do not generate errors.
Flags dangerous use of the exclude attribute in ModelForm.Meta.
Uses Django's internal machinery to try and resolve models referenced as
strings in ForeignKey fields. That relies on django.setup() which needs
the appropriate project settings defined!
Additional plugins
pylint_django.checkers.migrations looks for migrations which:
add new model fields and these fields have a default value. According to
Django docs
this may have performance penalties especially on large tables. The preferred way
is to add a new DB column with null=True because it will be created instantly
and then possibly populate the table with the desired default values.
Only the last migration from a sub-directory will be examined;
are migrations.RunPython() without a reverse callable - these will result in
non reversible data migrations;
Please feel free to add your name to the CONTRIBUTORS.rst file if you want to
be credited when pull requests get merged. You can also add to the
CHANGELOG.rst file if you wish, although we'll also do that when merging.
Tests
The structure of the test package follows that from pylint itself.
It is fairly simple: create a module starting with func_ followed by
a test name, and insert into it some code. The tests will run pylint
against these modules. If the idea is that no messages now occur, then
that is fine, just check to see if it works by running scripts/test.sh.
Any command line argument passed to scripts/test.sh will be passed to the internal invocation of pytest.
For example if you want to debug the tests you can execute scripts/test.sh --capture=no.
A specific test case can be run by filtering based on the file name of the test case ./scripts/test.sh -k 'func_noerror_views'.
Ideally, add some pylint error suppression messages to the file to prevent
spurious warnings, since these are all tiny little modules not designed to
do anything so there's no need to be perfect.
It is possible to make tests with expected error output, for example, if
adding a new message or simply accepting that pylint is supposed to warn.
A test_file_name.txt file contains a list of expected error messages in the
format
error-type:line number:class name or empty:1st line of detailed error text:confidence or empty.
License
pylint-django is available under the GPLv2 license.
About
Pylint plugin for improving code analysis for when using Django