chore(backup): 保存新版预审开发前的代码与文档基线

backend/test_assistant_components.py

@@ -9,6 +9,7 @@ import test_project_assistant as fixtures
 from services.assistant_store import get, put, listing
 from services.component_registry import draft, release, ordered, normalize
 from services.component_evaluation import evaluate
+from services.assistant_model import ModelResult, configuration
 
 
 class StructuredToolModel(BaseChatModel):
@@ -44,6 +45,25 @@ class StructuredToolModel(BaseChatModel):
 
 class ComponentTests(fixtures.ProjectAssistantTests):
     # Reuse only the fixture helpers, not inherited test execution (filtered below).
+    def test_model_endpoint_policy_allows_only_private_or_official_deepseek(self):
+        with patch.dict("os.environ", {"XINGBANG_LOCAL_MODEL_URL": "https://api.deepseek.com", "XINGBANG_LOCAL_MODEL_NAME": "deepseek-chat"}):
+            config = configuration()
+        self.assertTrue(config["available"])
+        self.assertEqual(config["name"], "deepseek-chat")
+        with patch.dict("os.environ", {"XINGBANG_LOCAL_MODEL_URL": "http://api.deepseek.com"}):
+            with self.assertRaises(ValueError):
+                configuration()
+
+    def test_requirement_response_object_is_normalized_to_readable_text(self):
+        result = ModelResult.model_validate({
+            "findings": [],
+            "requirement_response": {"数据读取": "完成", "待核实": "现金流缺失"},
+        })
+        self.assertEqual(result.requirement_response, "数据读取：完成；待核实：现金流缺失")
+        with patch.dict("os.environ", {"XINGBANG_LOCAL_MODEL_URL": "https://example.com/v1"}):
+            with self.assertRaises(ValueError):
+                configuration()
+
     def test_real_agent_manager_and_invalid_evidence(self):
         with patch.dict("os.environ", {"XINGBANG_LOCAL_MODEL_URL": "http://127.0.0.1:11434/v1"}), patch("services.assistant_model.ChatOpenAI", return_value=StructuredToolModel()):
             a = self.run_project("DEMO-A", "跳过现金流检查")