This package provides helpers for writing tests.
ftw.testing provides an advanced MockTestCase which provides bases on the plone.mocktestcase MockTestCase.
from ftw.testing import MockTestCase
The following additional methods are available:
- self.providing_mock(interfaces, *args, **kwargs)
- Creates a mock which provides interfaces.
- self.mock_interface(interface, provides=None, *args, **kwargs)
- Creates a mock object implementing interface. The mock does not only provide interface, but also use it as specification and asserts that the mocked methods do exist on the interface.
- self.stub(*args, **kwargs)
- Creates a stub. It acts like a mock but has no assertions.
- self.providing_stub(interfaces, *args, **kwargs)
- Creates a stub which provides interfaces.
- self.stub_interface(interface, provides=None, *args, **kwargs)
- Does the same as mock_interface, but disables counting of expected method calls and attribute access. See "Mocking vs. stubbing" below.
- self.set_parent(context, parent_context)
- Stubs the context so that its acquisition parent is parent_context. Expects at least context to be a mock or a stub. Returns the context.
- self.stub_request(interfaces=, stub_response=True, content_type='text/html', status=200)
- Returns a request stub which can be used for rendering templates. With the stub_response option, you can define if the request should stub a response by itself. The other optional arguments: content_type: Defines the expected output content type of the response. status: Defines the expected status code of the response.
- self.stub_response(request=None, content_type='text/html', status=200))
- Returns a stub response with some headers and options. When a request is given the response is also added to the given request. The other optional arguments: content_type: Defines the expected output content type of the response. status: Defines the expected status code of the response.
- self.assertRaises(*args, **kwargs)
- Uses unittest2 implementation of assertRaises instead of unittest implementation.
It also fixes a problem in mock_tool, where the getToolByName mock had assertions which is not very useful in some cases.
A mock is used for testing the communication between two objects. It asserts method calls. This is used when a test should not test if a object has a specific state after doing something (e.g. it has it's attribute xy set to something), but if the object does something with another object. If for example an object Foo sends an email when method bar is called, we could mock the sendmail object and assert on the send-email method call.
On the other hand we often have to test the state of an object (attribute values) after doing something. This can be done without mocks by just calling the method and asserting the attribute values. But then we have to set up an integration test and install plone, which takes very long. For testing an object with dependencies to other parts of plone in a unit test, we can use stubs for faking other (separately tested) parts of plone. Stubs work like mocks: you can "expect" a method call and define a result. The difference between stubs and mocks is that stubs do not assert the expectations, so there will be no errors if something expected does not happen. So when using stubs we can assert the state without asserting the communcation between objects.
The MockTestCase is able to mock components (adapters, utilities). It cleans up the component registry after every test.
But when we use a ZCML layer, loading the ZCML of the package it should use the same component registry for all tests on the same layer. The ComponentRegistryLayer is a layer superclass for sharing the component registry and speeding up tests.
from ftw.testing.layer import ComponentRegistryLayer class ZCMLLayer(ComponentRegistryLayer): def setUp(self): super(ZCMLLayer, self).setUp() import my.package self.load_zcml_file('configure.zcml', my.package) ZCML_LAYER = ZCMLLayer()
Be aware that ComponentRegistryLayer is a base class for creating your own layer (by subclassing ComponentRegistryLayer) and is not usable with defaultBases directly. This allows us to use the functions load_zcml_file and load_zcml_string.
For loading the needed dependencies for robot testing, just add a dependency to ftw.testing[robot]. You may also want plone.act for plone specific keywords.
Use the LocalizedRobotLayer for using robot framework in another language:
from ftw.testing import LocalizedRobotLayer from plone.testing import Layer class MyPackage(Layer): defaultBases = (LocalizedRobotLayer(['de']),) MY_PACKAGE = MyPackage()
- Main github project repository: https://github.com/4teamwork/ftw.testing
- Issue tracker: https://github.com/4teamwork/ftw.testing/issues
- Package on pypi: http://pypi.python.org/pypi/ftw.testing
- Continuous integration: https://jenkins.4teamwork.ch/search?q=ftw.testing
This package is copyright by 4teamwork.
ftw.testing is licensed under GNU General Public License, version 2.