[测试、性能、安全、验收与归档]：完成全量测试验收与 OpenSpec 归档，包含 CLI 验收、NewAPI smoke、安全扫描和主 spec 更新

tests/test_cli_acceptance.py

@@ -0,0 +1,37 @@
+from __future__ import annotations
+
+import io
+import json
+import unittest
+from contextlib import redirect_stdout
+
+from owner_voice_pet.cli import main
+
+
+class CliAcceptanceTests(unittest.TestCase):
+    def call(self, *args: str) -> tuple[int, dict[str, object]]:
+        buffer = io.StringIO()
+        with redirect_stdout(buffer):
+            code = main(list(args))
+        return code, json.loads(buffer.getvalue())
+
+    def test_acceptance_command_runs_end_to_end(self) -> None:
+        code, data = self.call("acceptance")
+        self.assertEqual(code, 0)
+        self.assertTrue(data["success"])
+        self.assertEqual(data["transcript"], "你是谁")
+        self.assertGreaterEqual(data["played_segments"], 1)
+
+    def test_validate_assets_command(self) -> None:
+        code, data = self.call("validate-assets")
+        self.assertEqual(code, 0)
+        self.assertTrue(data["valid"])
+
+    def test_security_check_command_has_no_leaks(self) -> None:
+        code, data = self.call("security-check")
+        self.assertEqual(code, 0)
+        self.assertEqual(data["secret_leaks"], [])
+
+
+if __name__ == "__main__":
+    unittest.main()

tests/test_models_config.py

@@ -62,6 +62,7 @@ class ModelsConfigTests(unittest.TestCase):
             self.assertEqual(config.llm_base_url, "https://newapi.mkbk.shop")
             self.assertEqual(config.llm_api_key, "secret-value")
             self.assertEqual(config.llm_model, "test-model")
+            self.assertTrue(config.llm_stream)
             self.assertEqual(config.validate_basic(), [])
         finally:
             os.environ.clear()

tests/test_pipeline_llm_tts.py

@@ -120,12 +120,14 @@ class PipelineLlmTtsTests(unittest.TestCase):
             def __exit__(self, *args: object) -> None:
                 return None
 
-            def __iter__(self):
+            def read(self):
                 event = {"choices": [{"delta": {"content": "你好。"}, "finish_reason": None}]}
                 done = {"choices": [{"delta": {}, "finish_reason": "stop"}]}
-                yield f"data: {json.dumps(event, ensure_ascii=False)}\n".encode()
-                yield f"data: {json.dumps(done, ensure_ascii=False)}\n".encode()
-                yield b"data: [DONE]\n"
+                return (
+                    f"data: {json.dumps(event, ensure_ascii=False)}\n"
+                    f"data: {json.dumps(done, ensure_ascii=False)}\n"
+                    "data: [DONE]\n"
+                ).encode()
 
         requests = []
 
@@ -146,6 +148,27 @@ class PipelineLlmTtsTests(unittest.TestCase):
         self.assertTrue(body["stream"])
         self.assertEqual(body["model"], "test-model")
 
+    def test_openai_non_stream_json_parser(self) -> None:
+        class FakeResponse:
+            def __enter__(self) -> "FakeResponse":
+                return self
+
+            def __exit__(self, *args: object) -> None:
+                return None
+
+            def read(self):
+                return json.dumps({"choices": [{"message": {"content": "非流式回复。"}}]}).encode()
+
+        config = AppConfig(
+            llm_base_url="https://newapi.mkbk.shop",
+            llm_api_key="secret",
+            llm_model="test-model",
+            llm_api_style="chat_completions",
+            llm_stream=False,
+        )
+        provider = OpenAICompatibleLlmProvider(config, urlopen=lambda request, timeout: FakeResponse())
+        self.assertEqual(list(provider.stream_reply([Message("user", "你好", 1.0)]))[0].text_delta, "非流式回复。")
+
 
 if __name__ == "__main__":
     unittest.main()