| =================== | |
| Testing in Graphene | |
| =================== | |
| Automated testing is an extremely useful bug-killing tool for the modern developer. You can use a collection of tests – a test suite – to solve, or avoid, a number of problems: | |
| - When you’re writing new code, you can use tests to validate your code works as expected. | |
| - When you’re refactoring or modifying old code, you can use tests to ensure your changes haven’t affected your application’s behavior unexpectedly. | |
| Testing a GraphQL application is a complex task, because a GraphQL application is made of several layers of logic – schema definition, schema validation, permissions and field resolution. | |
| With Graphene test-execution framework and assorted utilities, you can simulate GraphQL requests, execute mutations, inspect your application’s output and generally verify your code is doing what it should be doing. | |
| Testing tools | |
| ------------- | |
| Graphene provides a small set of tools that come in handy when writing tests. | |
| Test Client | |
| ~~~~~~~~~~~ | |
| The test client is a Python class that acts as a dummy GraphQL client, allowing you to test your views and interact with your Graphene-powered application programmatically. | |
| Some of the things you can do with the test client are: | |
| - Simulate Queries and Mutations and observe the response. | |
| - Test that a given query request is rendered by a given Django template, with a template context that contains certain values. | |
| Overview and a quick example | |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
| To use the test client, instantiate ``graphene.test.Client`` and retrieve GraphQL responses: | |
| .. code:: python | |
| from graphene.test import Client | |
| def test_hey(): | |
| client = Client(my_schema) | |
| executed = client.execute('''{ hey }''') | |
| assert executed == { | |
| 'data': { | |
| 'hey': 'hello!' | |
| } | |
| } | |
| Execute parameters | |
| ~~~~~~~~~~~~~~~~~~ | |
| You can also add extra keyword arguments to the ``execute`` method, such as | |
| ``context``, ``root``, ``variables``, ...: | |
| .. code:: python | |
| from graphene.test import Client | |
| def test_hey(): | |
| client = Client(my_schema) | |
| executed = client.execute('''{ hey }''', context={'user': 'Peter'}) | |
| assert executed == { | |
| 'data': { | |
| 'hey': 'hello Peter!' | |
| } | |
| } | |
| Snapshot testing | |
| ~~~~~~~~~~~~~~~~ | |
| As our APIs evolve, we need to know when our changes introduce any breaking changes that might break | |
| some of the clients of our GraphQL app. | |
| However, writing tests and replicating the same response we expect from our GraphQL application can be a | |
| tedious and repetitive task, and sometimes it's easier to skip this process. | |
| Because of that, we recommend the usage of `SnapshotTest <https://github.com/syrusakbary/snapshottest/>`_. | |
| SnapshotTest lets us write all these tests in a breeze, as it automatically creates the ``snapshots`` for us | |
| the first time the test are executed. | |
| Here is a simple example on how our tests will look if we use ``pytest``: | |
| .. code:: python | |
| def test_hey(snapshot): | |
| client = Client(my_schema) | |
| # This will create a snapshot dir and a snapshot file | |
| # the first time the test is executed, with the response | |
| # of the execution. | |
| snapshot.assert_match(client.execute('''{ hey }''')) | |
| If we are using ``unittest``: | |
| .. code:: python | |
| from snapshottest import TestCase | |
| class APITestCase(TestCase): | |
| def test_api_me(self): | |
| """Testing the API for /me""" | |
| client = Client(my_schema) | |
| self.assertMatchSnapshot(client.execute('''{ hey }''')) | |