graphene-django/graphene_django/elasticsearch/tests/test_fields.py
2019-06-03 18:22:14 -04:00

91 lines
2.6 KiB
Python

from datetime import datetime
import pytest
from mock import mock
from graphene import Schema
from graphene_django.elasticsearch.filter import filters
from graphene_django.tests.models import Article, Reporter
from graphene_django.utils import DJANGO_FILTER_INSTALLED, DJANGO_ELASTICSEARCH_DSL_INSTALLED
from graphene_django.elasticsearch.tests.filters import ESFilterQuery, ArticleDocument
pytestmark = []
if not DJANGO_FILTER_INSTALLED or not DJANGO_ELASTICSEARCH_DSL_INSTALLED:
pytestmark.append(
pytest.mark.skipif(
True, reason="django_filters not installed or not compatible"
)
)
pytestmark.append(pytest.mark.django_db)
def fake_data():
r1 = Reporter.objects.create(first_name="r1", last_name="r1", email="r1@test.com")
a1 = Article.objects.create(
headline="a1",
pub_date=datetime.now(),
pub_date_time=datetime.now(),
reporter=r1,
editor=r1,
)
a2 = Article.objects.create(
headline="a2",
pub_date=datetime.now(),
pub_date_time=datetime.now(),
reporter=r1,
editor=r1,
)
return a1, a2
def filter_generation(field, query_str, spected_arguments):
a1, a2 = fake_data()
query = """
query {
%s(%s) {
edges {
node {
headline
}
}
}
}
""" % (field, query_str)
mock_count = mock.Mock(return_value=3)
mock_slice = mock.Mock(return_value=mock.Mock(to_queryset=mock.Mock(
return_value=Article.objects.filter(pk__in=[a1.id, a2.id])
)))
mock_query = mock.Mock(return_value=ArticleDocument.search())
with mock.patch('django_elasticsearch_dsl.search.Search.count', mock_count),\
mock.patch('django_elasticsearch_dsl.search.Search.__getitem__', mock_slice),\
mock.patch('elasticsearch_dsl.Search.query', mock_query):
schema = Schema(query=ESFilterQuery)
result = schema.execute(query)
assert not result.errors
mock_query.assert_called_with(filters.StringFilterES(attr='headline').get_q(spected_arguments))
assert len(result.data[field]["edges"]) == 2
assert result.data[field]["edges"][0]["node"]["headline"] == "a1"
assert result.data[field]["edges"][1]["node"]["headline"] == "a2"
def test_filter_as_field():
filter_generation("articlesAsField", "headline: \"A text\"", {"headline": "A text"})
def test_filter_in_meta():
filter_generation("articlesInMeta", "headline: \"A text\"", {"headline": "A text"})
def test_filter_in_meta_dict():
filter_generation("articlesInMetaDict", "headline: \"A text\"", {"headline": "A text"})