about summary refs log tree commit diff
path: root/tests/integration
diff options
context:
space:
mode:
Diffstat (limited to 'tests/integration')
-rw-r--r--tests/integration/test_partial_correlations.py49
1 files changed, 44 insertions, 5 deletions
diff --git a/tests/integration/test_partial_correlations.py b/tests/integration/test_partial_correlations.py
index 17ea539..ff6d771 100644
--- a/tests/integration/test_partial_correlations.py
+++ b/tests/integration/test_partial_correlations.py
@@ -92,7 +92,6 @@ def test_partial_correlation_api_with_missing_request_data(client, post_data):
         response.status_code == 400 and response.is_json and
         response.json.get("status") == "error")
 
-
 @pytest.mark.integration_test
 @pytest.mark.slow
 @pytest.mark.parametrize(
@@ -118,9 +117,7 @@ def test_partial_correlation_api_with_missing_request_data(client, post_data):
             {"dataset": "a_dataset2", "name": "a_name2"}],
         "method": "a_method",
         "target_db": "a_db"
-    }, {# Temp -- Fails due to missing table. Remove this sample if it is
-        # confirmed that the deletion of the database table is on purpose, and
-        # that Temp traits are no longer a thing
+    }, {# Temp
         "primary_trait": {"dataset": "a_Temp_dataset", "name": "a_name"},
         "control_traits": [
             {"dataset": "a_dataset", "name": "a_name"},
@@ -128,7 +125,7 @@ def test_partial_correlation_api_with_missing_request_data(client, post_data):
         "method": "a_method",
         "target_db": "a_db"
     }))
-def test_partial_correlation_api_with_non_existent_traits(client, post_data):
+def test_partial_correlation_api_with_non_existent_primary_traits(client, post_data):
     """
     Check that the system responds appropriately in the case where the user
     makes a request with a non-existent primary trait.
@@ -137,3 +134,45 @@ def test_partial_correlation_api_with_non_existent_traits(client, post_data):
     assert (
         response.status_code == 404 and response.is_json and
         response.json.get("status") != "error")
+
+@pytest.mark.integration_test
+@pytest.mark.slow
+@pytest.mark.parametrize(
+    "post_data",
+    ({# ProbeSet
+        "primary_trait": {
+            "dataset": "UCLA_BXDBXH_CARTILAGE_V2", "name": "ILM103710672"},
+        "control_traits": [
+            {"dataset": "a_dataset", "name": "a_name"},
+            {"dataset": "a_dataset2", "name": "a_name2"}],
+        "method": "a_method",
+        "target_db": "a_db"
+    }, {# Publish
+        "primary_trait": {"dataset": "BXDPublish", "name": "BXD_12557"},
+        "control_traits": [
+            {"dataset": "a_dataset", "name": "a_name"},
+            {"dataset": "a_dataset2", "name": "a_name2"}],
+        "method": "a_method",
+        "target_db": "a_db"
+    }, {# Geno
+        "primary_trait": {"dataset": "AKXDGeno", "name": "D4Mit16"},
+        "control_traits": [
+            {"dataset": "a_dataset", "name": "a_name"},
+            {"dataset": "a_dataset2", "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):
+    """
+    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.
+    """
+    response = client.post("/api/correlation/partial", json=post_data)
+    assert (
+        response.status_code == 404 and response.is_json and
+        response.json.get("status") != "error")