feat(analysis): add filtered API workflow runner

tests/test_model_analysis_api_runner.py

@@ -0,0 +1,56 @@
+import importlib.util
+from pathlib import Path
+
+import pytest
+
+
+REPO_ROOT = Path(__file__).resolve().parents[1]
+
+
+@pytest.fixture(scope="module")
+def runner():
+    spec = importlib.util.spec_from_file_location(
+        "model_analysis_api_runner_test",
+        REPO_ROOT / "run_model_analysis_api_workflow.py",
+    )
+    module = importlib.util.module_from_spec(spec)
+    spec.loader.exec_module(module)
+    return module
+
+
+def test_linked_previews_require_both_reports(runner):
+    workflow = {
+        "1": {"class_type": "LoRAModelAnalysis", "inputs": {}},
+        "2": {"class_type": "PreviewAny", "inputs": {"source": ["1", 0]}},
+        "3": {"class_type": "PreviewAny", "inputs": {"source": ["1", 1]}},
+    }
+    assert runner._linked_previews(workflow, "1") == {0: "2", 1: "3"}
+
+
+def test_linked_previews_reject_missing_report(runner):
+    workflow = {
+        "1": {"class_type": "LoRAModelAnalysis", "inputs": {}},
+        "2": {"class_type": "PreviewAny", "inputs": {"source": ["1", 0]}},
+    }
+    with pytest.raises(RuntimeError, match="output"):
+        runner._linked_previews(workflow, "1")
+
+
+def test_run_analysis_captures_both_reports(monkeypatch, runner):
+    workflow = {
+        "1": {"class_type": "LoRAModelAnalysis", "inputs": {}},
+        "2": {"class_type": "PreviewAny", "inputs": {"source": ["1", 0]}},
+        "3": {"class_type": "PreviewAny", "inputs": {"source": ["1", 1]}},
+    }
+    monkeypatch.setattr(runner.api, "_json_request", lambda *args: {"prompt_id": "p"})
+    monkeypatch.setattr(
+        runner.api,
+        "_wait_for_history",
+        lambda *args: {"outputs": {"2": {"text": ["standard"]}, "3": {"text": ["cwb"]}}},
+    )
+    result = runner.run_analysis(workflow, "http://server", 0.1)
+    assert result == {
+        "prompt_id": "p",
+        "comparison_report": "standard",
+        "cwb_report": "cwb",
+    }