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-rw-r--r--tests/integration/conftest.py4
-rw-r--r--tests/integration/test_correlation.py4
-rw-r--r--tests/integration/test_partial_correlations.py61
3 files changed, 40 insertions, 29 deletions
diff --git a/tests/integration/conftest.py b/tests/integration/conftest.py
index e1d1c37..be927a4 100644
--- a/tests/integration/conftest.py
+++ b/tests/integration/conftest.py
@@ -19,4 +19,6 @@ def client():
 def db_conn():
     """Create a db connection fixture for tests"""
     ## Update this to use temp db once that is in place
-    return database_connector()[0]
+    conn = database_connector()
+    yield conn
+    conn.close()
diff --git a/tests/integration/test_correlation.py b/tests/integration/test_correlation.py
index cf63c17..d52ab01 100644
--- a/tests/integration/test_correlation.py
+++ b/tests/integration/test_correlation.py
@@ -71,7 +71,9 @@ class CorrelationIntegrationTest(TestCase):
 
         mock_compute_corr.return_value = []
 
-        database_connector.return_value = (mock.Mock(), mock.Mock())
+        database_connector.return_value = mock.Mock()
+        database_connector.return_value.__enter__ = mock.Mock()
+        database_connector.return_value.__exit__ = mock.Mock()
 
         post_data = {"1426678_at": "68031",
                      "1426679_at": "68036",
diff --git a/tests/integration/test_partial_correlations.py b/tests/integration/test_partial_correlations.py
index 7f9ff30..d249b42 100644
--- a/tests/integration/test_partial_correlations.py
+++ b/tests/integration/test_partial_correlations.py
@@ -1,4 +1,6 @@
 """Test partial correlations"""
+from unittest import mock
+
 import pytest
 
 from gn3.computations.partial_correlations import partial_correlations_entry
@@ -97,43 +99,46 @@ def test_partial_correlation_api_with_missing_request_data(client, post_data):
 @pytest.mark.parametrize(
     "post_data",
     ({# ProbeSet
-        "primary_trait": {"dataset": "a_dataset", "name": "a_name"},
+        "primary_trait": {"dataset": "a_dataset", "trait_name": "a_name"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }, {# Publish
-        "primary_trait": {"dataset": "a_Publish_dataset", "name": "a_name"},
+        "primary_trait": {
+            "dataset": "a_Publish_dataset", "trait_name": "a_name"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }, {# Geno
-        "primary_trait": {"dataset": "a_Geno_dataset", "name": "a_name"},
+        "primary_trait": {"dataset": "a_Geno_dataset", "trait_name": "a_name"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }, {# Temp
-        "primary_trait": {"dataset": "a_Temp_dataset", "name": "a_name"},
+        "primary_trait": {"dataset": "a_Temp_dataset", "trait_name": "a_name"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }))
-def test_partial_correlation_api_with_non_existent_primary_traits(client, post_data):
+def test_partial_correlation_api_with_non_existent_primary_traits(
+        client, post_data, mocker):
     """
     Check that the system responds appropriately in the case where the user
     makes a request with a non-existent primary trait.
     """
+    mocker.patch("gn3.api.correlation.redis.Redis", mock.MagicMock())
     response = client.post("/api/correlation/partial", json=post_data)
     assert (
-        response.status_code == 404 and response.is_json and
-        response.json.get("status") != "error")
+        response.status_code == 200 and response.is_json and
+        response.json.get("status") == "success")
 
 @pytest.mark.integration_test
 @pytest.mark.slow
@@ -141,41 +146,43 @@ def test_partial_correlation_api_with_non_existent_primary_traits(client, post_d
     "post_data",
     ({# ProbeSet
         "primary_trait": {
-            "dataset": "UCLA_BXDBXH_CARTILAGE_V2", "name": "ILM103710672"},
+            "dataset": "UCLA_BXDBXH_CARTILAGE_V2",
+            "trait_name": "ILM103710672"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }, {# Publish
-        "primary_trait": {"dataset": "BXDPublish", "name": "BXD_12557"},
+        "primary_trait": {"dataset": "BXDPublish", "trait_name": "BXD_12557"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }, {# Geno
-        "primary_trait": {"dataset": "AKXDGeno", "name": "D4Mit16"},
+        "primary_trait": {"dataset": "AKXDGeno", "trait_name": "D4Mit16"},
         "control_traits": [
-            {"dataset": "a_dataset", "name": "a_name"},
-            {"dataset": "a_dataset2", "name": "a_name2"}],
+            {"dataset": "a_dataset", "trait_name": "a_name"},
+            {"dataset": "a_dataset2", "trait_name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
     }
      # Temp -- the data in the database for these is ephemeral, making it
      #         difficult to test for this
      ))
-def test_partial_correlation_api_with_non_existent_control_traits(client, post_data):
+def test_partial_correlation_api_with_non_existent_control_traits(client, post_data, mocker):
     """
     Check that the system responds appropriately in the case where the user
     makes a request with a non-existent control traits.
 
     The code repetition here is on purpose - valuing clarity over succinctness.
     """
+    mocker.patch("gn3.api.correlation.redis.Redis", mock.MagicMock())
     response = client.post("/api/correlation/partial", json=post_data)
     assert (
-        response.status_code == 404 and response.is_json and
-        response.json.get("status") != "error")
+        response.status_code == 200 and response.is_json and
+        response.json.get("status") == "success")
 
 @pytest.mark.integration_test
 @pytest.mark.slow