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| Testing in Graphene |
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| 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: |
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| - 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. |
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| 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. |
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| 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. |
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| Testing tools |
| ------------- |
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| Graphene provides a small set of tools that come in handy when writing tests. |
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| Test Client |
| ~~~~~~~~~~~ |
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| 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. |
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| Some of the things you can do with the test client are: |
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| - 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. |
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| Overview and a quick example |
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
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| To use the test client, instantiate ``graphene.test.Client`` and retrieve GraphQL responses: |
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| .. code:: python |
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| from graphene.test import Client |
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| def test_hey(): |
| client = Client(my_schema) |
| executed = client.execute('''{ hey }''') |
| assert executed == { |
| 'data': { |
| 'hey': 'hello!' |
| } |
| } |
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| Execute parameters |
| ~~~~~~~~~~~~~~~~~~ |
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| You can also add extra keyword arguments to the ``execute`` method, such as |
| ``context``, ``root``, ``variables``, ...: |
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| .. code:: python |
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| from graphene.test import Client |
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| def test_hey(): |
| client = Client(my_schema) |
| executed = client.execute('''{ hey }''', context={'user': 'Peter'}) |
| assert executed == { |
| 'data': { |
| 'hey': 'hello Peter!' |
| } |
| } |
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| Snapshot testing |
| ~~~~~~~~~~~~~~~~ |
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| 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. |
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| 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. |
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| Because of that, we recommend the usage of `SnapshotTest <https://github.com/syrusakbary/snapshottest/>`_. |
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| 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. |
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| Here is a simple example on how our tests will look if we use ``pytest``: |
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| .. code:: python |
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| 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 }''')) |
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| If we are using ``unittest``: |
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| .. code:: python |
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| from snapshottest import TestCase |
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| class APITestCase(TestCase): |
| def test_api_me(self): |
| """Testing the API for /me""" |
| client = Client(my_schema) |
| self.assertMatchSnapshot(client.execute('''{ hey }''')) |
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