525e44c925
These are issues in Python 2.7 but were not caught by its version of flake8. Change-Id: I90349a6b4345b0787671a249a9d3b6a634372fc7
348 lines
12 KiB
Python
348 lines
12 KiB
Python
import collections
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import importlib
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import os
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import string
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import sys
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import unittest
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from collections import OrderedDict
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from six import string_types
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from six.moves import configparser
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import types
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from cafe.drivers.unittest.decorators import DataDrivenClass
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from cafe.common.reporting import cclogging
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RESERVED_SECTION_NAMES = [
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"defaults",
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"cli-defaults",
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]
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FIXTURE_ATTR = 'fixture_class'
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DATASETLIST_ATTR = 'dsl'
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TESTCLASSES_ATTR = 'mixin_test_classes'
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BREW_SECTION_ATTR_LIST = [FIXTURE_ATTR, DATASETLIST_ATTR, TESTCLASSES_ATTR]
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REQUIRED_BREW_SECTION_ATTR_LIST = [FIXTURE_ATTR]
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class RunFileNotFoundError(Exception):
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pass
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class RunFileSectionCollisionError(Exception):
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pass
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class RunFileIncompleteBrewError(Exception):
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pass
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class MalformedClassImportPathError(Exception):
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pass
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class ModuleNotImportableError(Exception):
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pass
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class ClassNotImportableError(Exception):
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pass
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class BrewMissingTestClassesError(Exception):
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pass
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class _ImportablePathWrapper(object):
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"""
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Provides convenience methods for importing module and class object
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denoted by a class_import_path string.
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"""
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def __init__(self, class_import_path):
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"""Accepts a dotted class path."""
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split_path = class_import_path.rsplit(".", 1)
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if len(split_path) != 2:
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raise MalformedClassImportPathError(
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"Path '{cip}' was malformed.\nA dotted path ending in a "
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"class name was expected.".format(cip=class_import_path))
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self.module_path = split_path[0]
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self.class_name = split_path[1]
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self._original_class_import_path = class_import_path
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self._module = None
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self._class = None
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def __repr__(self):
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s = "{ip}.{cn}".format(ip=self.module_path, cn=self.class_name)
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return s
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def import_module(self):
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"""Import the module at import_path and return the module object"""
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if self._module is None:
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try:
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self._module = importlib.import_module(self.module_path)
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except ImportError as ie:
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msg = "Could not import module from path '{p}: {e}".format(
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p=self.module_path,
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e=str(ie))
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raise ModuleNotImportableError(msg)
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return self._module
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def import_class(self):
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"""Import the module at import_path and extract the class_name class"""
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if self._class is None:
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try:
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self._class = getattr(self.import_module(), self.class_name)
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except AttributeError as err:
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msg = (
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"Could not import class '{c}' from path '{p}': {e}".format(
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c=self.class_name,
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p=self._original_class_import_path,
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e=str(err)))
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raise ClassNotImportableError(msg)
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return self._class
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class _Brew(object):
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"""
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Returns a module object containing all generated classes, named 'name'
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"""
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def __init__(
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self, name, fixture_class=None, dsl=None, mixin_test_classes=None):
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self.name = name
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self.fixture_class = None
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self.dsl = None
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self.mixin_test_classes = list()
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if fixture_class is not None:
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self.fixture_class = _ImportablePathWrapper(fixture_class)
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if dsl is not None:
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self.dsl = _ImportablePathWrapper(dsl)
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if mixin_test_classes is not None:
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if (not isinstance(mixin_test_classes, collections.Iterable) or
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isinstance(mixin_test_classes, string_types)):
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raise BrewMissingTestClassesError(
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"Brew was instantiated with an uniterable "
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"mixin_test_classes object of type {t}".format(
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t=type(mixin_test_classes)))
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self.mixin_test_classes = [
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_ImportablePathWrapper(tc) for tc in mixin_test_classes]
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def __repr__(self):
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return (
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"\nmodule name: {name}\n"
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"{fixture_attr}: {fixture}\n"
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"{dsl_attr}: {dsl}\n"
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"{testclasses_attr}:\n{tcs}\n".format(
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fixture_attr=FIXTURE_ATTR,
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dsl_attr=DATASETLIST_ATTR,
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testclasses_attr=TESTCLASSES_ATTR,
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name=self.name,
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fixture=self.fixture_class,
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dsl=self.dsl,
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tcs='\n'.join(["\t\t{s}{t}".format(
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s=" " * 5, t=t) for t in self.mixin_test_classes])))
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def _generate_module(self, module_name):
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"""Create the container module for autgenerated classes."""
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return types.ModuleType(
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module_name,
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"This module was auto-generated as a container for BrewFile-driven"
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" classes generated at runtime.")
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def _register_module(self, module_object):
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"""Add the module to sys.modules so that it's importable elsewhere."""
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sys.modules[module_object.__name__] = module_object
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def _generate_test_class(self, module_name=None):
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"""
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Create the aggregate test class by generating a new class that inherits
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from the fixture and all the test classes.
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The generated class's __module__ attribute will be set to module_name
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"""
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# Import and append the test class objects to the bases list
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bases = list()
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# Make sure the fixture is first in the method resolution order
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if self.fixture_class is not None:
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bases.append(self.fixture_class.import_class())
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for tc in self.mixin_test_classes:
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bases.append(tc.import_class())
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# Create the new test class from the bases list and register it as a
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# member of the module so that it can be properly imported later
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# (type requires that bases be a tuple)
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class_dict = {}
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if module_name:
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class_dict['__module__'] = module_name
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return type(
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self.name, tuple(bases), class_dict)
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def __call__(self):
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"""Generates a module to contain the generated test fixture and
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all data generated test classes.
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Returns the module object"""
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# Generate the module
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automodule = self._generate_module(self.name)
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# add it to sys.modules
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self._register_module(automodule)
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# Generate the aggregate test class
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test_class = self._generate_test_class(
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module_name=self.name)
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if self.dsl is not None:
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# Instantiate the DataDrivenClass decorator with an instance of the
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# dsl_class
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dsl_class = self.dsl.import_class()
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# Generate final data driven class aggregate by decorating the
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# aggregate test_class with the the dsl_class-driven
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# DataDrivenClass decorator.
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test_class = DataDrivenClass(dsl_class())(test_class)
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# Add the ddtest_class to the automodule
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setattr(automodule, test_class.__name__, test_class)
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return automodule
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class BrewFile(object):
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def __init__(self, files):
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"""Accepts mutiple (config-like) run files and generates a
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consolidated representation of them, enforcing rules during parsing.
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A BrewFile is a SafeConfigParser file, except:
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The section 'cli-defaults' is special and can only be used for
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defining defaults for optional command-line arguments.
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(NOTE: This feature is not yet implemented)
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All keys in any given section must be unique.
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All section names across all files passed into BrewFile must be
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unique, with the exception of 'defaults' and 'cli-defaults', which
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are special and not vetted.
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The section 'cli-defaults' should only appear once across all
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files passed into BrewFile.
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"""
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self._log = cclogging.getLogger(
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cclogging.get_object_namespace(self.__class__))
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self.files = files
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self._data = self._validate_runfiles(files)
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def __repr__(self):
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files = self._files_string()
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brews = self._brews_string()
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return "Files:\n{files}Brews:{brews}".format(files=files, brews=brews)
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@property
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def cli_defaults(self):
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return dict(self._data.items('cli-defaults'))
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def _brews_string(self):
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sub_brews = "\n\t".join(
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["\n\t".join(str(b).splitlines()) for b in self.iterbrews()])
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return "{brews}\n".format(brews=sub_brews)
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def brews_to_strings(self):
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return self._brews_string().splitlines()
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def _files_string(self):
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return "{files}\n".format(
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files='\n'.join(["{space}{file}".format(
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space="\t", file=f)for f in self.files]))
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def brew_names(self):
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"""Return a list of non-reserved section names"""
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return [
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section for section in self._data.sections()
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if section.lower() not in RESERVED_SECTION_NAMES]
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def iterbrews(self, brew_name_postfix='_automodule'):
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""" Iterates through runfile sections and yields each individual
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section as a Brew object. You have to call .brew() on the individual
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Brews to get them to generate a module that contains the aggregate
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test class, so these should be safe to store in a list regardless of
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dataset size.
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"""
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for s in self.brew_names():
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brew_name = "{name}{postfix}".format(
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name=s, postfix=brew_name_postfix)
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attr_dict = dict(name=brew_name)
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for attr in BREW_SECTION_ATTR_LIST:
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try:
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attr_dict[attr] = self._data.get(s, attr)
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except Exception:
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attr_dict[attr] = None
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attr_dict[TESTCLASSES_ATTR] = (attr_dict.get(
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TESTCLASSES_ATTR) or "").strip().splitlines()
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b = _Brew(**attr_dict)
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yield b
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def brew_modules(self):
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"""Returns a list of generated modules each with mixin_test_classes
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inside, based on the BrewFile's contents. For a large enough dataset
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this could be memory intensive, so it's recommended to use iterbrews
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and yield the module/mixin_test_classes to your runner one at a time.
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"""
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modules = list()
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for brew in self.iterbrews():
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module = brew()
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modules.append(module)
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return modules
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@staticmethod
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def _validate_runfiles(files):
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""" Enforces the BrewFile rules on all provided files.
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If all files pass validation, a SafeConfigParser is returned.
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"""
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# Validate the config files individually
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for f in files:
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# Make sure the file is actually there since config parser
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# fails silently when loading non-existant files
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if not os.path.isfile(f):
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msg = "Could not locate file '{f}'".format(f=f)
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raise RunFileNotFoundError(msg)
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# TODO: Add checks for duplicate sections among multiple files
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cfg = configparser.SafeConfigParser()
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cfg.read(f)
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# Check for incomplete sections, excluding reserved
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# sections.
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for section in [
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s for s in cfg.sections()
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if s not in RESERVED_SECTION_NAMES]:
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for attr in REQUIRED_BREW_SECTION_ATTR_LIST:
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try:
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cfg.get(section, attr)
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except configparser.NoOptionError:
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msg = (
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"\nSection '{sec}' in runfile '{filename}' is "
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"missing the '{attr}' option".format(
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filename=f, sec=section, attr=attr))
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raise RunFileIncompleteBrewError(msg)
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# config files are valid, return aggregate config parser object
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cfg = configparser.SafeConfigParser()
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cfg.read(files)
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return cfg
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