nova/HACKING.rst
Johannes Erdfelt fb7d1fb825 Clear created attributes when tearing down tests
unittest will keep each test case around after completion pinning any
objects references by attributes on the test case. This can bloat
the memory used during a full test suite run to the point where
the test suite will require much more memory than running all of
the services does. On systems witout lots of memory, test suite
failures will occur as test cases cannot fork to execute programs.

Clearing out __dict__ of any attributes that don't start with a _
(since some are needed by unittest itself) reduces memory
significantly. This does require the super class tearDown to be
called last in some cases however.

Change-Id: I0e660b6c2a77c5613c5a523ba0a64c3d7f6dd128
2012-03-07 15:52:40 +00:00

197 lines
5.5 KiB
ReStructuredText

Nova Style Commandments
=======================
- Step 1: Read http://www.python.org/dev/peps/pep-0008/
- Step 2: Read http://www.python.org/dev/peps/pep-0008/ again
- Step 3: Read on
General
-------
- Put two newlines between top-level code (funcs, classes, etc)
- Put one newline between methods in classes and anywhere else
- Do not write "except:", use "except Exception:" at the very least
- Include your name with TODOs as in "#TODO(termie)"
- Do not name anything the same name as a built-in or reserved word
Imports
-------
- Do not import objects, only modules
- Do not import more than one module per line
- Do not make relative imports
- Order your imports by the full module path
- Organize your imports according to the following template
Example::
# vim: tabstop=4 shiftwidth=4 softtabstop=4
{{stdlib imports in human alphabetical order}}
\n
{{third-party lib imports in human alphabetical order}}
\n
{{nova imports in human alphabetical order}}
\n
\n
{{begin your code}}
Human Alphabetical Order Examples
---------------------------------
Example::
import httplib
import logging
import random
import StringIO
import time
import unittest
import eventlet
import webob.exc
import nova.api.ec2
from nova.api import openstack
from nova.auth import users
import nova.flags
from nova.endpoint import cloud
from nova import test
Docstrings
----------
Example::
"""A one line docstring looks like this and ends in a period."""
"""A multiline docstring has a one-line summary, less than 80 characters.
Then a new paragraph after a newline that explains in more detail any
general information about the function, class or method. Example usages
are also great to have here if it is a complex class for function.
When writing the docstring for a class, an extra line should be placed
after the closing quotations. For more in-depth explanations for these
decisions see http://www.python.org/dev/peps/pep-0257/
If you are going to describe parameters and return values, use Sphinx, the
appropriate syntax is as follows.
:param foo: the foo parameter
:param bar: the bar parameter
:returns: return_type -- description of the return value
:returns: description of the return value
:raises: AttributeError, KeyError
"""
Dictionaries/Lists
------------------
If a dictionary (dict) or list object is longer than 80 characters, its items
should be split with newlines. Embedded iterables should have their items
indented. Additionally, the last item in the dictionary should have a trailing
comma. This increases readability and simplifies future diffs.
Example::
my_dictionary = {
"image": {
"name": "Just a Snapshot",
"size": 2749573,
"properties": {
"user_id": 12,
"arch": "x86_64",
},
"things": [
"thing_one",
"thing_two",
],
"status": "ACTIVE",
},
}
Calling Methods
---------------
Calls to methods 80 characters or longer should format each argument with
newlines. This is not a requirement, but a guideline::
unnecessarily_long_function_name('string one',
'string two',
kwarg1=constants.ACTIVE,
kwarg2=['a', 'b', 'c'])
Rather than constructing parameters inline, it is better to break things up::
list_of_strings = [
'what_a_long_string',
'not as long',
]
dict_of_numbers = {
'one': 1,
'two': 2,
'twenty four': 24,
}
object_one.call_a_method('string three',
'string four',
kwarg1=list_of_strings,
kwarg2=dict_of_numbers)
Internationalization (i18n) Strings
-----------------------------------
In order to support multiple languages, we have a mechanism to support
automatic translations of exception and log strings.
Example::
msg = _("An error occurred")
raise HTTPBadRequest(explanation=msg)
If you have a variable to place within the string, first internationalize the
template string then do the replacement.
Example::
msg = _("Missing parameter: %s") % ("flavor",)
LOG.error(msg)
If you have multiple variables to place in the string, use keyword parameters.
This helps our translators reorder parameters when needed.
Example::
msg = _("The server with id %(s_id)s has no key %(m_key)s")
LOG.error(msg % {"s_id": "1234", "m_key": "imageId"})
Creating Unit Tests
-------------------
For every new feature, unit tests should be created that both test and
(implicitly) document the usage of said feature. If submitting a patch for a
bug that had no unit test, a new passing unit test should be added. If a
submitted bug fix does have a unit test, be sure to add a new one that fails
without the patch and passes with the patch.
For more information on creating unit tests and utilizing the testing
infrastructure in OpenStack Nova, please read nova/testing/README.rst.
openstack-common
----------------
A number of modules from openstack-common are imported into the project.
These modules are "incubating" in openstack-common and are kept in sync
with the help of openstack-common's update.py script. See:
http://wiki.openstack.org/CommonLibrary#Incubation
The copy of the code should never be directly modified here. Please
always update openstack-common first and then run the script to copy
the changes across.