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Developer Guidelines
- Own your pull requests; you are their advocate.
- If a request goes unreviewed for two or three days, ping a reviewer to see what's holding things up.
- Follow up on open pull requests and respond to any comments or questions a reviewer might have.
- Keep the contents of the pull request focused on one idea. Smaller pull requests are easier to review, and thus will be merged in more quickly.
- After submitting a request, be ready to work closely with a reviewer to get it tested and integrated into the overall test suite.
- Follow the Code Style guidelines to make your pull request as easy to review as possible.
- If your request requires the use of private information that can't be represented in the data file templates (probably cfme_data.yaml), please state that in the test module docstring or the individual test docstring, along with information on where that data can be found.
- Similar to the last point, any data files used by a test module should be clearly documented in that module's docstring.
- Any data required in a sensitive data file should be reflected in the template for that file.
- Standards may change over time, so copying older code with similar functionality may not be the most productive action. If in doubt, refer back to this document and update the copied code according to the current guidelines.
Reviewers will be looking to make sure that the Contributing guidelines are being met. Some of the things that go into the review process:
- Newly added tests will be run against a clean appliance.
- Adherence to code style guidelines will be checked.
If tests fail, reviewers WILL:
- ...give you a complete traceback of the error.
- ...give you useful information about the appliance against which tests were run, such as the appliance version.
- ...give you insight into any related data files used.
- ...not thoroughly debug the failing test(s).
Reviewers must never merge their own pull requests.
We adhere to Python's PEP 8 style guide, occasionally allowing exceptions for the sake of readability. This is covered in the "Foolish Consistency" section of PEP 8. Information on using linting tools to help with this can be found on the linty freshness page.
We also do a few things that aren't explicitly called out in PEP 8:
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The github pull request pane is our primary code review medium, and has a minimum width of 100 characters. As a result, our maximum line length is 100 characters, rather than 80.
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When wrapping long conditionals, indent trailing lines twice, just like with function names and any other block statement (they usually end with colons):
if this_extremely_long_variable_name_takes_up_the_whole_line and \ you_need_to_wrap_your_conditional_to_the_next_line: # Two indents help clearly separate the wrapped conditional # from the following code.
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When indenting a wrapping sequence, one indent will do. Don't try to align all of the sequence items at an arbitrary column:
a_good_list = [ 'item1', 'item2', 'item3' ]
a_less_good_list = [ 'item1', 'item2', 'item3' ]
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According to PEP 8, triple-quoted docstrings use double quotes. To help differentiate docstrings from normal multi-line strings, consider using single-quotes in the latter case:
"""This is a docstring. It follows PEP 8's docstring guidelines. """
paragraph = '''This is a triple-quoted string, with newlines captured. PEP 8 and PEP 257 guidelines don't apply to this. Using single quotes here makes it simple for a reviewer to know that docstring style doesn't apply to this text block.'''
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On the subject of docstrings (as well as comments) use them. Python is somewhat self-documenting, so use docstrings and comments as a way to explain not just what code is doing, but why it's doing what it is, and what it's intended to achieve.
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In addition to being broken up into the three sections of standard library, third-party, and the local application, imports should be sorted alphabetically. 'import' lines within those sections still come before 'from ... import' lines:
import sys from os import environ from random import choice
Other useful code style guidelines:
cfme_tests/
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pages/
Top-level pages container. The structure of this directory should mimic the layout of the CFME UI as much as possible. -
tests/
Top-level tests container-
appliance/
Appliance tests, generally using tools other than the UI to inspect appliance internals, like verify installed packages or required service states -
scenario/
Large test scenarios, representing complicated setup and teardown workflows with interdependent tests -
ui/
General UI tests, testing specific functional units of behavior
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data/
Test data. The structure of this directory should match the structure undertests/
, with data files for tests in the same relative location as the test itself.- For example, data files for
tests/ui/test_ui_widgets.py
could go intodata/ui/test_ui_widgets/
.
- For example, data files for
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fixtures/
py.test fixtures that can be used by any test. Modules in this directory will be auto loaded. -
markers/
py.test markers that can be used by any test. Modules in this directory will be auto loaded. -
utils/
Utility functions that can be called inside our outside the test context. Generally, util functions benefit from having a related test fixture that exposes the utility to the tests. Modules in this directory will be auto loaded. -
db/
The 'db' module provides access to an appliance's database, as well as convenience mappings for model to table names. -
scripts/
Useful scripts for QE developers that aren't used during a test run
Pages are read-only python modeling of the CFME UI, used by tests
Pages to model the CFME UI in Python, allowing the
functional tests of the UI to be ignorant of the underlying
page structure. As such, UI elements (pages, regions, forms, etc.) modeled in
cfme_pages
must provide helper methods and properties to expose a usable
interface to cfme_tests
. This is explained in more detail in the section on
"Writing Tests".
As mentioned in the README,
pages should be modeled as a part of writing tests. Code in
cfme_pages
must never depend on code in cfme_tests
.
Tests in cfme_tests
have the following properties:
- They pass on a freshly deployed appliance with no configuration beyond the defaults (i.e. tests do their own setup and teardown).
- They never directly access a page's 'testsetup' attribute, or call selenium methods. Instead, methods defined on the page objects will carry out the required behavior.
- Where possible, they strive to be idempotent to facilitate repeated testing and debugging of failing tests. (Repeatable is Reportable)
- Where possible, they try to clean up behind themselves. This not only helps with idempotency, but testing all of the CRUD interactions helps to make a thorough test.
- Tests should be thoroughly distrustful of the appliance, and measure an
action's success in as many ways as possible. A practical example:
- Do not trust flash messages, as they sometimes tell lies (or at least appear to). If you can go beyond a flash message to verify a test action, do so.
Fixtures are not only responsible for setting up tests, but also cleaning up after a test run, whether that test run succeeded or failed. addfinalizer is very powerful. finalizer functions are called even if tests fail.
When writing fixtures, consider how useful they might be for the overall
project, and place them accordingly. Putting fixtures into a test module
is rarely the best solution. Instead, try to put them in the nearest
conftest.py. If they're generic/useful enough consider putting them into
one of the fixtures/
directory for use in cfme_tests
or the plugin/
directory for use in both projects.
This page is subject to change as our needs and policies evolve. Suggestions are always welcome.
There are a lot of generally useful fixtures, marks, and utilities that should probably be mentioned in here. They'll be appearing soon.