feat(regulatory): 为核查流程增加LLM复核记录

tests/test_regulatory_condition.py

@@ -121,6 +121,7 @@ def test_detect_regulatory_condition_uses_llm_review_for_better_product_name(
     monkeypatch, settings, tmp_path, django_user_model
 ):
     settings.MEDIA_ROOT = tmp_path
+    settings.REGULATORY_LLM_REVIEW_ALLOW_TEST_CALLS = True
     user = django_user_model.objects.create_user(username="owner", password="pass")
     conversation = Conversation.objects.create(user=user, title="会话")
     summary = FileSummaryBatch.objects.create(

tests/test_regulatory_workflow.py

@@ -263,3 +263,50 @@ def test_workflow_generates_issues_exports_and_assistant_summary(settings, tmp_p
     assert RegulatoryArtifact.objects.filter(batch=batch, name="text_extract_status.json").exists()
     assert RegulatoryArtifact.objects.filter(batch=batch, name="rag_result_json.json").exists()
     assert conversation.messages.filter(role=Message.Role.ASSISTANT, content__contains="已完成 NMPA").exists()
+
+
+def test_workflow_records_llm_review_artifacts_for_review_nodes(
+    monkeypatch, settings, tmp_path, django_user_model
+):
+    settings.MEDIA_ROOT = tmp_path
+    settings.REGULATORY_REVIEW_ASYNC = False
+    settings.REGULATORY_RAG_CHROMA_PATH = tmp_path / "missing-rag"
+    user = django_user_model.objects.create_user(username="owner", password="pass")
+    conversation = Conversation.objects.create(user=user, title="会话")
+    summary = FileSummaryBatch.objects.create(
+        conversation=conversation,
+        user=user,
+        batch_no="FS-OK",
+        status=FileSummaryBatch.Status.SUCCESS,
+    )
+    ifu_path = tmp_path / "ifu.txt"
+    ifu_path.write_text("产品名称：甲胎蛋白检测试剂盒\n型号规格：20人份/盒", encoding="utf-8")
+    FileSummaryItem.objects.create(
+        batch=summary,
+        file_index=1,
+        file_name="说明书.txt",
+        file_type="txt",
+        relative_path="说明书.txt",
+        storage_path=str(ifu_path),
+    )
+    batch = create_regulatory_review_batch(
+        conversation=conversation,
+        user=user,
+        source_summary_batch=summary,
+    )
+    batch.condition_json = {"confirmed": True, "confirmed_conditions": {"product_category": "体外诊断试剂"}}
+    batch.save(update_fields=["condition_json"])
+
+    monkeypatch.setattr(
+        "review_agent.regulatory_review.workflow.review_workflow_payload",
+        lambda stage, payload: {"status": "success", "stage": stage, "result": {"reviewed": True}, "error_message": ""},
+    )
+
+    start_regulatory_review_workflow(batch, async_run=False)
+
+    artifact_names = set(RegulatoryArtifact.objects.filter(batch=batch).values_list("name", flat=True))
+    assert "llm_review_completeness_check.json" in artifact_names
+    assert "llm_review_text_extract.json" in artifact_names
+    assert "llm_review_structure_check.json" in artifact_names
+    assert "llm_review_consistency_check.json" in artifact_names
+    assert "llm_review_risk_assess.json" in artifact_names