fix

Author: sfierro

app/desktop/studio_server/eval_api.py

@@ -25,6 +25,7 @@
 from kiln_ai.datamodel.json_schema import string_to_json_key
 from kiln_ai.datamodel.prompt_id import is_frozen_prompt
 from kiln_ai.datamodel.run_config import KilnAgentRunConfigProperties
+from kiln_ai.datamodel.spec import SpecStatus
 from kiln_ai.datamodel.task import RunConfigProperties, TaskRunConfig
 from kiln_ai.datamodel.task_output import normalize_rating
 from kiln_ai.utils.name_generator import generate_memorable_name
@@ -953,11 +954,15 @@ async def get_run_config_eval_scores(
         task_run_config_from_id(project_id, task_id, run_config_id)
 
         # Build a mapping from eval_id to spec_id for evals that are associated with specs
+        # Also track which eval_ids belong to archived specs so we can exclude them
         specs = task.specs()
         eval_id_to_spec_id: Dict[str, str] = {}
+        archived_eval_ids: set[str] = set()
         for spec in specs:
             if spec.eval_id and spec.id:
                 eval_id_to_spec_id[spec.eval_id] = spec.id
+                if spec.status == SpecStatus.archived:
+                    archived_eval_ids.add(spec.eval_id)
 
         evals = task.evals()
         eval_results: List[RunConfigEvalResult] = []
@@ -974,6 +979,10 @@ async def get_run_config_eval_scores(
         total_eval_runs = 0
 
         for eval in evals:
+            # Skip evals associated with archived specs
+            if eval.id and eval.id in archived_eval_ids:
+                continue
+
             # Get the dataset size for this eval
             expected_dataset_ids = dataset_ids_in_filter(
                 task, eval.eval_set_filter_id, readonly=True

app/desktop/studio_server/test_eval_api.py

@@ -47,7 +47,7 @@
 )
 from kiln_ai.datamodel.prompt import BasePrompt
 from kiln_ai.datamodel.run_config import KilnAgentRunConfigProperties
-from kiln_ai.datamodel.spec import Spec
+from kiln_ai.datamodel.spec import Spec, SpecStatus
 from kiln_ai.datamodel.spec_properties import DesiredBehaviourProperties, SpecType
 from kiln_ai.datamodel.task import TaskRunConfig
 from kiln_ai.datamodel.task_run import Usage
@@ -2362,6 +2362,132 @@ async def test_get_run_config_eval_scores_includes_spec_id(
     assert legacy_eval_result["spec_id"] is None
 
 
+@pytest.mark.asyncio
+async def test_get_run_config_eval_scores_excludes_archived_specs(
+    client, mock_task, mock_eval, mock_eval_config, mock_run_config
+):
+    """Test that get_run_config_eval_scores excludes evals associated with archived specs"""
+
+    # Create an active spec
+    active_spec = Spec(
+        id="active_spec1",
+        name="Active Spec",
+        definition="Active spec definition",
+        properties=DesiredBehaviourProperties(
+            spec_type=SpecType.desired_behaviour,
+            core_requirement="test instruction",
+            desired_behaviour_description="test desired behaviour",
+        ),
+        eval_id=mock_eval.id,
+        status=SpecStatus.active,
+        parent=mock_task,
+    )
+    active_spec.save_to_file()
+
+    # Create an archived spec with its own eval
+    archived_eval = Eval(
+        id="archived_eval1",
+        name="Archived Eval",
+        description="Eval for archived spec",
+        template=None,
+        eval_set_filter_id="tag::archived_eval_set",
+        eval_configs_filter_id="tag::archived_golden",
+        output_scores=[
+            EvalOutputScore(
+                name="score1",
+                instruction="desc1",
+                type=TaskOutputRatingType.five_star,
+            ),
+        ],
+        parent=mock_task,
+    )
+    archived_eval.save_to_file()
+
+    archived_eval_config = EvalConfig(
+        id="archived_eval_config1",
+        name="Archived Eval Config",
+        config_type=EvalConfigType.g_eval,
+        properties={"eval_steps": ["step1"]},
+        parent=archived_eval,
+        model_name="gpt-4",
+        model_provider="openai",
+    )
+    archived_eval_config.save_to_file()
+    archived_eval.current_config_id = archived_eval_config.id
+    archived_eval.save_to_file()
+
+    archived_spec = Spec(
+        id="archived_spec1",
+        name="Archived Spec",
+        definition="Archived spec definition",
+        properties=DesiredBehaviourProperties(
+            spec_type=SpecType.desired_behaviour,
+            core_requirement="test instruction",
+            desired_behaviour_description="test desired behaviour",
+        ),
+        eval_id=archived_eval.id,
+        status=SpecStatus.archived,
+        parent=mock_task,
+    )
+    archived_spec.save_to_file()
+
+    # Build mock eval objects with explicit attributes
+    mock_eval_config_for_api = MagicMock()
+    mock_eval_config_for_api.id = mock_eval_config.id
+    mock_eval_config_for_api.runs.return_value = []
+
+    mock_eval_for_api = MagicMock()
+    mock_eval_for_api.id = mock_eval.id
+    mock_eval_for_api.name = mock_eval.name
+    mock_eval_for_api.eval_set_filter_id = mock_eval.eval_set_filter_id
+    mock_eval_for_api.output_scores = mock_eval.output_scores
+    mock_eval_for_api.current_config_id = mock_eval_config.id
+    mock_eval_for_api.configs.return_value = [mock_eval_config_for_api]
+
+    archived_eval_config_for_api = MagicMock()
+    archived_eval_config_for_api.id = archived_eval_config.id
+    archived_eval_config_for_api.runs.return_value = []
+
+    archived_eval_for_api = MagicMock()
+    archived_eval_for_api.id = archived_eval.id
+    archived_eval_for_api.name = archived_eval.name
+    archived_eval_for_api.eval_set_filter_id = archived_eval.eval_set_filter_id
+    archived_eval_for_api.output_scores = archived_eval.output_scores
+    archived_eval_for_api.current_config_id = archived_eval_config.id
+    archived_eval_for_api.configs.return_value = [archived_eval_config_for_api]
+
+    mock_task_for_api = MagicMock()
+    mock_task_for_api.evals.return_value = [mock_eval_for_api, archived_eval_for_api]
+    mock_task_for_api.specs.return_value = [active_spec, archived_spec]
+
+    with (
+        patch(
+            "app.desktop.studio_server.eval_api.task_from_id"
+        ) as mock_task_from_id_patch,
+        patch(
+            "app.desktop.studio_server.eval_api.task_run_config_from_id"
+        ) as mock_task_run_config_from_id_patch,
+        patch(
+            "app.desktop.studio_server.eval_api.dataset_ids_in_filter"
+        ) as mock_dataset_ids_in_filter,
+    ):
+        mock_task_from_id_patch.return_value = mock_task_for_api
+        mock_task_run_config_from_id_patch.return_value = mock_run_config
+        mock_dataset_ids_in_filter.return_value = set()
+
+        response = client.get(
+            f"/api/projects/project1/tasks/task1/run_config/{mock_run_config.id}/eval_scores"
+        )
+
+    assert response.status_code == 200
+    data = response.json()
+
+    # Only the active spec's eval should be present, not the archived one
+    assert len(data["eval_results"]) == 1
+    assert data["eval_results"][0]["eval_name"] == "Test Eval"
+    assert data["eval_results"][0]["spec_id"] == "active_spec1"
+
+
 @pytest.mark.asyncio
 async def test_get_run_configs_includes_finetunes_with_run_config(
     client, mock_task_from_id, mock_task

app/web_ui/src/routes/(app)/specs/[project_id]/[task_id]/+page.svelte

@@ -904,7 +904,9 @@
                     spec.id &&
                     selected_specs.has(spec.id)
                       ? 'bg-base-200'
-                      : ''} {spec.status === 'archived' ? 'opacity-60' : ''}"
+                      : ''} {spec.status === 'archived'
+                      ? 'text-base-content/60'
+                      : ''}"
                     on:click={() => {
                       if (select_mode) {
                         toggle_selection(spec.id || "")