Keep assistant prompts focused on semantic metrics

backend/tests/test_sprint202_temporal_metrics_and_ollama.py

@@ -202,6 +202,21 @@ def test_geo_assistant_rounds_prompt_values_by_semantic_unit(value: float, unit:
     assert GeoAssistantService.rounded_context_value(value, unit) == expected
 
 
+def test_geo_assistant_omits_supporting_object_count_from_richer_model_context() -> None:
+    metrics = [
+        {"metric_label": "Bodemkaartoppervlakte", "metric_value": 11_448.35, "metric_unit": "ha"},
+        {"metric_label": "Bodemkaartvlakken", "metric_value": 1_159, "metric_unit": "objecten"},
+    ]
+
+    assert GeoAssistantService.model_context_metrics(metrics) == metrics[:1]
+
+
+def test_geo_assistant_keeps_object_count_when_it_is_the_only_metric() -> None:
+    metrics = [{"metric_label": "Objecten", "metric_value": 12, "metric_unit": "objecten"}]
+
+    assert GeoAssistantService.model_context_metrics(metrics) == metrics
+
+
 def test_geo_assistant_normalizes_model_markdown_for_plain_text_renderer() -> None:
     answer = GeoAssistantService.normalize_plain_text("**Bevolking**\n* 36.783 inwoners\n`Bron: Statbel`")