Add evidence-near semantic architecture experiments

Record the V1-V3 experiments and accept the minimal semantic-preservation first stage.

tests/test_evidence_observation_v3_experiment.py

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+import json
+import tempfile
+import unittest
+from pathlib import Path
+from unittest.mock import patch
+
+from src.meeting_lab.evidence_observations_v3.experiment import (
+    SCHEMA_VERSION,
+    ObservationValidationError,
+    build_ollama_payload,
+    load_fixture,
+    parse_model_json,
+    run_case,
+    validate_observations,
+)
+
+
+class EvidenceObservationV3ExperimentTests(unittest.TestCase):
+    def setUp(self) -> None:
+        self.case = {
+            "case_id": "test", "description": "Minimal fixture.",
+            "subject_id": "subject_test", "subject": "Messdatenprüfung",
+            "evidence": [
+                {"evidence_id": "e1", "text": "Antonius: Nina, prüfst du die Messdaten?"},
+                {"evidence_id": "e2", "text": "Nina: Ja, ich prüfe sie bis Freitag."},
+            ],
+            "semantic_requirements": ["Request and response survive."],
+        }
+        self.output = {
+            "schema_version": SCHEMA_VERSION, "subject_id": "subject_test",
+            "subject": "Messdatenprüfung", "observations": [self.observation()],
+        }
+
+    def observation(self, **updates):
+        value = {
+            "observation_id": "obs_1", "evidence_id": "e1",
+            "content": "Antonius fragt Nina, ob sie die Messdaten prüft.",
+            "speaker": "Antonius", "named_person": "Nina", "addressee": "Nina",
+        }
+        value.update(updates)
+        return value
+
+    def test_minimal_schema_is_valid(self):
+        self.assertIs(validate_observations(self.output, self.case), self.output)
+        self.assertEqual(set(self.output["observations"][0]), {
+            "observation_id", "evidence_id", "content", "speaker", "named_person", "addressee"
+        })
+
+    def test_unknown_semantic_field_is_rejected(self):
+        self.output["observations"][0]["modality"] = "factual"
+        with self.assertRaisesRegex(ObservationValidationError, "unknown keys"):
+            validate_observations(self.output, self.case)
+
+    def test_unknown_evidence_is_rejected(self):
+        self.output["observations"][0]["evidence_id"] = "e9"
+        with self.assertRaisesRegex(ObservationValidationError, "unknown evidence"):
+            validate_observations(self.output, self.case)
+
+    def test_speaker_must_match_evidence(self):
+        self.output["observations"][0]["speaker"] = "Nina"
+        with self.assertRaisesRegex(ObservationValidationError, "match evidence speaker"):
+            validate_observations(self.output, self.case)
+
+    def test_named_person_does_not_add_responsibility(self):
+        validate_observations(self.output, self.case)
+        self.assertNotIn("responsibility", self.output["observations"][0])
+
+    def test_addressee_does_not_add_assignment(self):
+        validate_observations(self.output, self.case)
+        self.assertNotIn("action_item", self.output["observations"][0])
+
+    def test_nonexplicit_person_is_rejected(self):
+        self.output["observations"][0]["named_person"] = "Martin"
+        with self.assertRaisesRegex(ObservationValidationError, "not an explicit person"):
+            validate_observations(self.output, self.case)
+
+    def test_multiple_atomic_observations_can_share_evidence(self):
+        self.output["observations"].append(self.observation(observation_id="obs_2"))
+        validate_observations(self.output, self.case)
+
+    def test_malformed_json_is_rejected(self):
+        with self.assertRaises(json.JSONDecodeError):
+            parse_model_json("{bad json")
+
+    def test_payload_controls_are_fixed(self):
+        payload = build_ollama_payload("qwen3.5:9B", "prompt", 16384, 4096)
+        self.assertFalse(payload["think"])
+        self.assertEqual(payload["options"]["temperature"], 0)
+
+    def test_fixture_reuses_exact_v2_evidence(self):
+        v3 = load_fixture(Path("tests/gold/evidence_observations_v3/cases.json"))
+        v2 = json.loads(Path("tests/gold/evidence_observations_v2/cases.json").read_text())["cases"]
+        self.assertEqual([case["evidence"] for case in v3], [case["evidence"] for case in v2])
+
+    def test_case_run_preserves_persistent_artifact_set(self):
+        raw = json.dumps(self.output, ensure_ascii=False)
+        with tempfile.TemporaryDirectory() as temporary:
+            root = Path(temporary)
+            with patch(
+                "src.meeting_lab.evidence_observations_v3.experiment.call_ollama",
+                return_value=(raw, {"model": "qwen3.5:9B"}),
+            ):
+                result = run_case(self.case, root, "http://unused", "qwen3.5:9B", 1, 16384, 4096)
+            self.assertTrue(result["structurally_valid"])
+            for filename in (
+                "source_evidence.json", "gold_semantic_requirements.json", "prompt.txt",
+                "raw_model_response.txt", "parsed_observations.json",
+                "structural_validation.json", "ollama_metadata.json",
+            ):
+                self.assertTrue((root / "test" / filename).is_file(), filename)
+
+
+if __name__ == "__main__":
+    unittest.main()