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README.md

Macro Polo

Build Status

Macro Polo is a Python library for unit testing template macros created using popular Python templating systems.

Templating systems/environments currently supported:

Status: Proof of concept

Why Macro Polo? Unit Testing vs Functional Testing

Macro Polo is designed for unit testing template macros. Macro Polo is meant to make it easier to express tests of the resulting HTML of individual template macros (units) within a specific context or with specific inputs. Unit testing macros tests them individually in isolation.

If you're looking at a template and want to test browser-related behavior that occurs when interacting with that template's resulting HTML, you want to investigate functional testing tools and frameworks.

Requirements

Requirements can be satisfied with pip:

$ pip install -r requirements.txt
  • BeautifulSoup 4 for handling the HTML resulting from template rendering
  • Python mock for mocking template filters and context (and unit testing Macro Polo itself)

Template Systems/Environments:

These are not installed by pip. It is expected that if you are using these template environments you have them installed already. If not, their respective environment mixins will not be available.

Installation

To clone and install Macro Polo locally in an existing Python virtualenv:

$ git clone https://github.com/cfpb/macropolo
$ pip install -e macropolo

Note: this installs Macro Polo in 'editable' mode. This means that any updates pulled into the git clone will be 'live' without running pip again.

Macro Polo can also be installed directly from Github:

$ pip install git+https://github.com/cfpb/macropolo

Testing Macro Polo

Macro Polo's own unit tests can be run from the root of the repository:

$ python setup.py test

If you would prefer to use nose:

$ pip install nose

Then you can run the tests:

$ nosetests macropolo

Using Macro Polo

Quickstart

Create a Python file with the rest of your test suite, such as test_templates.py. This file will need to define a base test case, load template tests from JSON, and (optionally) use Python's unittest.main() to run the tests:

from macropolo import MacroTestCase, Jinja2Environment
from macropolo import JSONTestCaseLoader

class MyBaseTestCase(Jinja2Environment, MacroTestCase):
    """
    A MacroTestCase subclass for my Jinja2 Templates.
    """

    def search_root(self):
        """
        Return the root of the search path for templates.
        """
        # If the tests live under 'site_root/tests'...
        root_dir = os.path.abspath(os.path.join(os.path.dirname( __file__ ),
                                                os.pardir))
        return root_dir

    def search_exceptions(self):
        """
        Return a list of a subdirectory names that should not be searched
        for templates.
        """
        return ['tests',]

# Create MyTestCase subclasses for all JSON tests and add them to the
# module's global context.
tests_path = os.path.abspath(os.path.join(os.path.dirname( __file__ ), 'template_tests'))
JSONTestCaseLoader(tests_path, MyBaseTestCase, globals())

# Run the tests if we're executed
if __name__ == '__main__':
    unittest.main()

Then create your JSON test specifications in the template_tests subdirectory of tests.

Creating a Base TestCase Class

Test Case classes should inherit from a template environment mixin, the MacroTestCase class, and should provide the following methods:

search_root()

Return the root of the search path for templates.

search_exceptions()

Return a list of a subdirectory names that should not be searched for templates.

For Example:

from macropolo import MacroTestCase, Jinja2Environment

class MyBaseTestCase(Jinja2Environment, MacroTestCase):
    """
    A MacroTestCase subclass for my Jinja2 Templates.
    """

    def search_root(self):
        """
        Return the root of the search path for templates.
        """
        # If the tests live under 'site_root/tests'...
        root_dir = os.path.abspath(os.path.join(os.path.dirname( __file__ ),
                                                os.pardir))
        return root_dir

    def search_exceptions(self):
        """
        Return a list of a subdirectory names that should not be searched
        for templates.
        """
        return ['tests',]

Defining Tests in JSON

To reduce the amount of boilerplate Python that needs to be written for macro unit tests, unit tests can be written in JSON.

For each template file that defines macros, a single JSON should be created that would look like this:

{
    "file": "macros.html",
    "tests": [
        {
            "macro_name": "my_macro",
            ...
        },
        { ... },
    ]
}

file is the template file. The test environment uses the same mechanism that Sheer uses to lookup template files, so the same file specification that's used within templates that use the macros.

tests is a list of individual test case specifications. These corrospond to a single macro.

The specification for a test case for an individual macro looks like this:

{
    "macro_name": "<a macro>",
    "skip": <true or false>,
    "arguments": [ ... ],
    "keyword_arguments": { ... },
    "context": {
        "<context variable>": "<value>",
        ...
    }
    "filters": {
        "<filter name>": "<mock value>",
        "<filter name>": ["<first call mock value>",
                            "<second call mock value>", ...]
    },
    "context_functions": {
        "<function name>": "<mock value>",
        "<function name>": ["<first call mock value>",
                            "<second call mock value>", ...]
    },
    "templates": {
        "<template file>": {
            "<macro name>(<arguments>)": "<mock value>",
            "<macro name>()": ["<first call mock value>",
                            "<second call mock value>", ...]
        }
    },
    "assertions": [
        {
            "selector": "<css selector>",
            "index": <1>,
            "value": "<string contained>",
            "assertion": "<equal>",
            "attribute": "<attribute name>",
        "
    ]
}

macro_name is simply the name of the macro within the file in which it is defined.

skip, if true, will skip the macro test. This is optional.

arguments is a list of arguments to pass to the macro in the order they are given. Can be either a list or a JSON object of keys/values; if it is a JSON object of keys/values, it is presumed to be keyword arguments. This is optional.

keyword_arguments is an object containing key/value arguments to pass to the macro if it requires keyword arguments. This is optional.

context is an object containing names of context variables to add to the template's context and values to assign to those variables.

filters is an object that is used to mock template system filters. It contains the name of the filter to be mocked and the value that should be returned when that filter is used. The value can also be a list, in which case the order of the list will corropsond to the order in which the filter is called, i.e. if you want the filter to return 1 the first time it is called, but 2 the second time, the value would be [1, 2]. This is optional.

Note: Here are some Sheer filters you may want to consider mocking:

  • selected_filters_for_field
  • is_filter_selected

context_functions is an object that is used to mock template context functions. It works the same way that filters does above, with the values either being a return value for all calls or a list of return values for each call. This is optional.

Note: Here are some Sheer context functions you may want to consider mocking:

  • queries
  • more_like_this
  • get_document

templates is an object that is used to mock included template macros called from within the macro being tested. It works the same way that filters and context_functions do above, with the values either being a return value for all calls or a list of return values for each call. The <macro name> should include parenthesis and any arguments the template's macro takes. This will override the entire <template file>, so make sure to mock all of its macros. This is optional.

assertions defines the assertions to make about the result of rendering the macro. Assertion definitions take a CSS selector, an index in the list of matches for that selector (default is 0), an assertion to make about the selected element or its attribute (if given), and a value for comparison (if necessary for the assertion).

The assertion can be any of the following:

  • equal or equals
  • not equal or not equals
  • exists
  • in
  • not in

Multiple test cases can be defined for the same macro, to test different behavior with different inputs, filter or context funciton output.

Defining Tests in Python

If there is a more complex scenario you would like to test that cannot be described by the JSON specification format, you can create a test case in Python.

class MyMacrosTestCase(MyBaseTestCase):
    def test_a_macro(self):
        self.mock_filter(...)
        self.mock_context_function(...)
        result = self.render_macro('mymacros.html', 'amacro')
        assert 'something' in result.select('.css-selector')[0]

Running Tests

Using the MyBaseTestCase class defined above and loading tests defined in JSON files, the JSON files must be loaded into into a Python context.

For example, in a file called template_tests.py:

from macropolo import JSONTestCaseLoader

# Create MyTestCase subclasses for all JSON tests and add them to the
# module's global context.
tests_path = os.path.abspath(os.path.join(os.path.dirname( __file__ ), 'template_tests'))
JSONTestCaseLoader(tests_path, MyBaseTestCase, globals())

# Run the tests if we're executed
if __name__ == '__main__':
    unittest.main()

From there the file can be run as-is:

$ python template_tests.py

Or it can be run using other Python test runners like nose:

$ pip install nose
$ nosetests 

Or py.test

$ pip install pytest
$ py.test

API

MacroTestCase

The MacroTestCase class is intended to capture test cases for macros on a modular basis, i.e. you would create one subclass of MacroTestCase for each template file containing macros. That subclass can then include test_[macro_name]() methods that test each individual macro.

This class requires a templating system environment mixin that provides setup_environment() that creates the templating system environment, add_filter() and add_context() which add filters and context name/values or functions to the template environment, and finally render_macro() which renders the macro using the template system and environment.

MacroTestCase provides the following convenience methods:

mock_filter(filter, **values)

Mock a template filter. This will create a mock function for the filter that will return either a single value, or will return each of the given values in turn if there are more than one.

mock_context_function(func, **values)

Mock a context function. This will create a mock function that will return either a single value, or will return each of the given values in turn if there are more than one.

make_assertion(result, selector, index=0, value=None, assertion='exists', attribute='')

Make an assertion based on the BeautifulSoup result object.

This method will find the given CSS selector, and make the given assertion about the attribute of selector's match at the given index. If the assertion requires a value to compare to, it should be given. If no attribute is given the assertion is made about the entire match.

Template Environment Mixins

Template System environment mixin classes should provide four methods:

setup_environment()

This method should setup the templating system's environment.

render_macro(macro_file, macro, *args, **kwargs)

Render a given macro with the given arguments and keyword arguments. Should return a BeautifulSoup object.

add_filter(name, filter)

Add the given filter to the template environment.

add_context(name, value)

Add the given name/value to the template environment context.

JSON Specification Functions

JSONTestCaseLoader(tests_path, super_class, context)

Load JSON specifications for Jinja2 macro test cases from the given tests_path, calls JSONSpecTestCaseFactory() to create test case classes with the given super_class from the JSON files, and adds the resulting test case classes to the given context (i.e. globals()).

JSONSpecTestCaseFactory(name, super_class, json_file, mixins=[])

Creates a test case class of the given name with the given super_class and mixins from JSON read from the given json_file. The test case class is returned.

Licensing

Public Domain/CC0 1.0

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