barbican/barbican/tests/test_hacking.py
Stephen Finucane 029233a1a4 Remove unnecessary hacking checks
The B319 check to ensure no use of xrange is not an issue in a Python
3-only codebase, while the unittest assert-focused B311, B312 and B321
checks duplicate H203, H204 and H203 (again) from hacking respectively.

An unnecessary 'py3pep8' tox environment is removed since the standard
'pep8' environment uses Python 3 now.

Change-Id: I8eb8c6accd1c2f2c7851a08b372235699a971ad9
Signed-off-by: Stephen Finucane <stephenfin@redhat.com>
2022-09-26 15:24:51 +00:00

127 lines
5.4 KiB
Python

# Copyright 2016 GohighSec
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations
# under the License.
import textwrap
from unittest import mock
import pycodestyle
from barbican.hacking import checks
import oslotest
class HackingTestCase(oslotest.base.BaseTestCase):
"""Hacking test cases
This class tests the hacking checks in barbican.hacking.checks by passing
strings to the check methods like the pycodestyle/flake8 parser would. The
parser
loops over each line in the file and then passes the parameters to the
check method. The parameter names in the check method dictate what type of
object is passed to the check method. The parameter types are::
logical_line: A processed line with the following modifications:
- Multi-line statements converted to a single line.
- Stripped left and right.
- Contents of strings replaced with "xxx" of same length.
- Comments removed.
physical_line: Raw line of text from the input file.
lines: a list of the raw lines from the input file
tokens: the tokens that contribute to this logical line
line_number: line number in the input file
total_lines: number of lines in the input file
blank_lines: blank lines before this one
indent_char: indentation character in this file (" " or "\t")
indent_level: indentation (with tabs expanded to multiples of 8)
previous_indent_level: indentation on previous line
previous_logical: previous logical line
filename: Path of the file being run through pycodestyle
When running a test on a check method the return will be False/None if
there is no violation in the sample input. If there is an error a tuple is
returned with a position in the line, and a message. So to check the result
just assertTrue if the check is expected to fail and assertFalse if it
should pass.
"""
# We are patching pycodestyle so that only the check under test is actually
# installed.
@mock.patch('pycodestyle._checks',
{'physical_line': {}, 'logical_line': {}, 'tree': {}})
def _run_check(self, code, checker, filename=None):
pycodestyle.register_check(checker)
lines = textwrap.dedent(code).strip().splitlines(True)
checker = pycodestyle.Checker(filename=filename, lines=lines)
checker.check_all()
checker.report._deferred_print.sort()
return checker.report._deferred_print
def _assert_has_errors(self, code, checker, expected_errors=None,
filename=None):
actual_errors = [e[:3] for e in
self._run_check(code, checker, filename)]
self.assertEqual(expected_errors or [], actual_errors)
def _assert_has_no_errors(self, code, checker, filename=None):
self._assert_has_errors(code, checker, filename=filename)
def test_logging_format_no_tuple_arguments(self):
checker = checks.CheckLoggingFormatArgs
code = """
import logging
LOG = logging.getLogger()
LOG.info("Message without a second argument.")
LOG.critical("Message with %s arguments.", 'two')
LOG.debug("Volume %s caught fire and is at %d degrees C and"
" climbing.", 'volume1', 500)
"""
self._assert_has_no_errors(code, checker)
def test_dict_constructor_with_list_copy(self):
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
" dict([(i, connect_info[i])"))))
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
" attrs = dict([(k, _from_json(v))"))))
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
" type_names = dict((value, key) for key, value in"))))
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
" dict((value, key) for key, value in"))))
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
"foo(param=dict((k, v) for k, v in bar.items()))"))))
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
" dict([[i,i] for i in range(3)])"))))
self.assertEqual(1, len(list(checks.dict_constructor_with_list_copy(
" dd = dict([i,i] for i in range(3))"))))
self.assertEqual(0, len(list(checks.dict_constructor_with_list_copy(
" create_kwargs = dict(snapshot=snapshot,"))))
self.assertEqual(0, len(list(checks.dict_constructor_with_list_copy(
" self._render_dict(xml, data_el, data.__dict__)"))))
def test_no_log_warn_check(self):
self.assertEqual(0, len(list(checks.no_log_warn_check(
"LOG.warning('This should not trigger LOG.warn"
"hacking check.')"))))
self.assertEqual(1, len(list(checks.no_log_warn_check(
"LOG.warn('We should not use LOG.warn')"))))