Neuron inputs to query

src/test/test_neuron_inputs.py

@@ -73,8 +73,10 @@ def test_schema_generation(self):
         self.assertIsNotNone(schema, "Schema should not be None")
         self.assertEqual(schema.query, "NeuronInputsTo", "Query name should match")
         self.assertEqual(schema.function, "get_individual_neuron_inputs", "Function name should match")
-        # NeuronInputsTo uses ribbon format with preview=-1 (all results)
-        self.assertEqual(schema.preview, -1, "Preview should show all results (ribbon format)")
+        # NeuronInputsTo uses ribbon format; preview must be > 0 so
+        # fill_query_results populates the count badge and ribbon rows
+        # (preview<=0 is skipped by process_query, vfb_queries.py:6192).
+        self.assertGreater(schema.preview, 0, "Preview must be > 0 for the ribbon to be populated")
         self.assertIn("Neurotransmitter", schema.preview_columns, "Preview should include 'Neurotransmitter' column")
         self.assertIn("Weight", schema.preview_columns, "Preview should include 'Weight' column")
 

src/vfbquery/vfb_queries.py

@@ -976,10 +976,16 @@ def term_info_parse_object(results, short_form):
         if contains_all_tags(termInfo["SuperTypes"], ["Individual", "Neuron"]):
             q = SimilarMorphologyTo_to_schema(termInfo["Name"], {"neuron": vfbTerm.term.core.short_form, "similarity_score": "NBLAST_score"})
             queries.append(q)
-        if contains_all_tags(termInfo["SuperTypes"], ["Individual", "Neuron", "has_neuron_connectivity"]):
+        # NeuronInputsTo is gated behind the extra "Demo" tag so it does NOT
+        # appear on the current site (no live terms carry "Demo"). Keep it
+        # separate from NeuronNeuronConnectivityQuery below, which should still
+        # show for all connectivity-bearing neurons.
+        if contains_all_tags(termInfo["SuperTypes"], ["Individual", "Neuron", "has_neuron_connectivity", "Demo"]):
             q = NeuronInputsTo_to_schema(termInfo["Name"], {"neuron_short_form": vfbTerm.term.core.short_form})
             queries.append(q)
-            # NeuronNeuronConnectivity query - neurons connected to this neuron
+
+        # NeuronNeuronConnectivity query - neurons connected to this neuron
+        if contains_all_tags(termInfo["SuperTypes"], ["Individual", "Neuron", "has_neuron_connectivity"]):
             q = NeuronNeuronConnectivityQuery_to_schema(termInfo["Name"], {"short_form": vfbTerm.term.core.short_form})
             queries.append(q)
 
@@ -1557,13 +1563,19 @@ def term_info_parse_object(results, short_form):
 
 def NeuronInputsTo_to_schema(name, take_default):
     query = "NeuronInputsTo"
-    label = f"Find neurons with synapses into {name}"
+    label = f"Find neurons presynaptic to {name}"
     function = "get_individual_neuron_inputs"
     takes = {
         "neuron_short_form": {"$and": ["Individual", "Neuron"]},
         "default": take_default,
     }
-    preview = -1
+    # preview MUST be > 0: fill_query_results/process_query only populates the
+    # count badge and ribbon rows when preview > 0 (vfb_queries.py:6192). A
+    # value of -1 caused the query to be skipped entirely, shipping count=-1
+    # and no preview_results to the frontend (broken card). output_format
+    # "ribbon" already makes process_query call the backing function in
+    # summary_mode, so the ribbon shows the neurotransmitter breakdown.
+    preview = 5
     preview_columns = ["Neurotransmitter", "Weight"]
     output_format = "ribbon"