fix(ai): classify empty PixelRAG VLM offers as platform barriers

tests/test_pixelrag_vlm_replay_worker_service.py

@@ -177,6 +177,73 @@ def test_pixelrag_vlm_replay_worker_writes_model_error_receipt(tmp_path, monkeyp
     assert receipt["next_machine_action"] == "repair_ollama_vlm_runtime_or_model_route"
 
 
+def test_pixelrag_vlm_replay_worker_empty_fields_routes_to_platform_probe(tmp_path, monkeypatch):
+    from services import pixelrag_vlm_replay_worker_service as service
+
+    _write_receipt(
+        tmp_path,
+        platform="shopee_tw",
+        manifest_id="shopee-language",
+        title="蝦皮購物 | 花得更少買得更好",
+        url="https://shopee.tw/search?keyword=sunscreen",
+    )
+
+    class FakeOllama:
+        def __init__(self, model):
+            self.model = model
+
+        def generate(self, *args, **kwargs):
+            return SimpleNamespace(
+                success=True,
+                content=json.dumps({
+                    "blocked_page_detected": False,
+                    "fields": {
+                        "title": {"value": None, "confidence": 0.0, "evidence_refs": []},
+                        "price": {"value": None, "confidence": 0.0, "evidence_refs": []},
+                        "currency": {"value": None, "confidence": 0.0, "evidence_refs": []},
+                    },
+                    "quality": {
+                        "overall_confidence": 0.0,
+                        "missing_required_fields": [],
+                        "requires_identity_matcher_replay": True,
+                        "requires_promotion_gate": True,
+                    },
+                    "notes": [],
+                }),
+                model="minicpm-v:latest",
+                error=None,
+                total_duration=2.0,
+                host="http://192.168.0.111:11434",
+                input_tokens=10,
+                output_tokens=40,
+            )
+
+    monkeypatch.setattr(service, "OllamaService", FakeOllama)
+    payload = service.run_pixelrag_ollama_vlm_replay_worker(
+        artifact_root=tmp_path,
+        output_root=tmp_path / "receipts",
+        platform="shopee_tw",
+        execute=True,
+        write_receipt=True,
+        tile_limit=4,
+        auto_select_model=False,
+    )
+
+    assert payload["status"] == "warning"
+    assert payload["summary"]["executed_warning_count"] == 1
+    assert payload["summary"]["required_field_missing_count"] == 2
+    assert payload["next_machine_action"] == "rerun_vlm_replay_with_more_tiles_or_platform_probe"
+    item = payload["worker_items"][0]
+    assert item["worker_status"] == "executed_warning"
+    assert item["next_machine_action"] == "run_platform_probe_or_use_structured_api"
+    assert item["validation"]["present_field_count"] == 0
+    assert item["validation"]["non_product_or_interstitial_detected"] is True
+    assert item["validation"]["valid_for_identity_matcher_replay"] is False
+    receipt_path = tmp_path / "receipts" / "shopee_tw" / "shopee-language" / "vlm_replay_receipt.json"
+    receipt = json.loads(receipt_path.read_text(encoding="utf-8"))
+    assert receipt["next_machine_action"] == "run_platform_probe_or_use_structured_api"
+
+
 def test_pixelrag_vlm_replay_worker_auto_selects_installed_candidate(tmp_path, monkeypatch):
     from services import pixelrag_vlm_replay_worker_service as service