d1b70e365b
If a test case class has functions decorated with a ddt decorator, but is not itself decorated with @ddt.ddt, then tests don't run properly. This adds an AST checker to ensure that a class that contains functions decorated with a ddt decorator is properly decorated. It also includes unit tests for the checker itself. Change-Id: If7186d1f8b9a1967e7af55d86cd568e323aeccf7
117 lines
4.3 KiB
Python
117 lines
4.3 KiB
Python
# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import ast
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import os
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from tests.unit import test
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class DDTDecoratorChecker(ast.NodeVisitor):
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"""Visit an AST tree looking for classes lacking the ddt.ddt decorator.
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DDT uses decorators on test case functions to supply different
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test data, but if the class that those functions are members of is
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not decorated with @ddt.ddt, then the data expansion never happens
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and the tests are incomplete. This is very easy to miss both when
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writing and when reviewing code, so this visitor ensures that
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every class that contains a function decorated with a @ddt.*
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decorator is itself decorated with @ddt.ddt
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"""
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def __init__(self):
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self.classes = []
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self.errors = {}
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@classmethod
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def _get_name(cls, node):
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if isinstance(node, ast.Name):
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return node.id
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if isinstance(node, ast.Attribute):
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return cls._get_name(node.value) + "." + node.attr
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return ""
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def _is_ddt(self, cls_node):
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return "ddt.ddt" in (self._get_name(d)
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for d in cls_node.decorator_list)
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def visit_ClassDef(self, node):
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self.classes.append(node)
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self.generic_visit(node)
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self.classes.pop()
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def visit_FunctionDef(self, node):
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if not self.classes:
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# NOTE(stpierre): we only care about functions that are
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# defined inside of classes
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return
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cls = self.classes[-1]
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if cls.name in self.errors:
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# NOTE(stpierre): if this class already has been found to
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# be in error, ignore the rest of its functions
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return
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for decorator in node.decorator_list:
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if not isinstance(decorator, ast.Call):
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continue
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funcname = self._get_name(decorator.func)
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if funcname.startswith("ddt."):
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if not self._is_ddt(cls):
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msg = ("Class %s has functions that use DDT, "
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"but is not decorated with `ddt.ddt`" %
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cls.name)
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self.errors[cls.name] = {
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"lineno": node.lineno,
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"message": msg
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}
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class DDTDecoratorCheckerTestCase(test.TestCase):
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tests_path = os.path.join(os.path.dirname(__file__))
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def test_ddt_class_decorator(self):
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"""Classes with DDT-decorated functions have ddt.ddt class decorator.
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"""
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errors = []
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for dirname, dirnames, filenames in os.walk(self.tests_path):
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for filename in filenames:
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if not (filename.startswith("test_") and
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filename.endswith(".py")):
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continue
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filename = os.path.relpath(os.path.join(dirname, filename))
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with open(filename, "rb") as fh:
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try:
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tree = ast.parse(fh.read(), filename)
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except TypeError as err:
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errors.append({"message": str(err),
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"filename": filename,
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"lineno": -1})
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visitor = DDTDecoratorChecker()
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visitor.visit(tree)
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errors.extend(
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dict(filename=filename, **error)
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for error in visitor.errors.values())
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if errors:
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msg = [""]
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for error in errors:
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msg.extend([
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"Errors at %(filename)s line %(lineno)d: %(message)s" % {
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"message": error["message"],
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"filename": error["filename"],
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"lineno": error["lineno"]},
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""])
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self.fail("\n".join(msg))
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