Smoke tests for API built with Django Rest Framework
Project description
Rest-Framework-Smoke
Smoke tests for API built with Django Rest Framework.
Installation
pip install rest-framework-smoke
Usage
Full example located at testproject.testapp.tests
from rest_framework.test import APITestCase
from rest_framework_smoke.tests.mixins import ReadOnlyViewSetTestsMixin
from rest_framework_smoke.tests.schemas import get_object_schema
from testproject.testapp import models
TASK_SCHEMA = {
"id": {"type": ["number"]},
"name": {"type": ["string"]},
}
PROJECT_SCHEMA = {
"id": {"type": ["number"]},
"name": {"type": ["string"]},
"task_set": {
"type": ["array"],
"minItems": 1,
"items": get_object_schema(TASK_SCHEMA)
}
}
class ProjectViewSetTestCase(ReadOnlyViewSetTestsMixin, APITestCase):
object_name = 'project'
basename = 'projects'
schema = details_schema = PROJECT_SCHEMA
pagination_schema = None
@classmethod
def setUpTestData(cls):
cls.project = models.Project.objects.create(name='project')
cls.task = models.Task.objects.create(name='task', project=cls.project)
Happy API testing :)
About schema checks
Rest-Framework-Smoke uses jsonschema
to validate API response format.
When we check format, we should pay attention to:
- no unexpected properties are found (is so, they are not validated by schema)
- there are no missing properties (missing properties are not validated)
- arrays are not empty (because there is nothing to check in empty arrays)
- all values are not null (because null values mostly are null by default, and other type variants will never appear in schema validation code)
So there are two helpers in rest_framework_smoke.tests.schemas
to enforce
these constraints (and they are used internally for format tests):
get_object_schema
get_array_schema
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