Merge branch 'Hackthon_9th_No_84' of https://github.com/xilzy/PaddlePaddle_FastDeploy into Hackthon_9th_No_84

Author: xilzy

tests/input/test_qwen_vl_processor.py

@@ -260,6 +260,62 @@ def test_process_response(self):
         self.assertTrue("multimodal_outputs" in processed.__dict__)
         self.assertEqual(processed.multimodal_outputs["images"].shape, response.multimodal_outputs["images"].shape)
 
+    def test_process_response_dict(self):
+        """
+        Test processing of a response dictionary through the processor.
+
+        Ensures:
+        1. The returned dict contains expected keys
+        2. Multimodal outputs are preserved
+        3. Text output matches expected decoded tokens
+        """
+        # Mock output from model
+        response_dict = {
+            "request_id": "12345",
+            "responses": [{"text": "This is a test response."}],
+            "multimodal_outputs": {"images": np.random.randint(0, 256, (1, 3, 224, 224))},
+        }
+
+        # Patch processor's ids2tokens to return expected text
+        with patch.object(
+            self.processor.processor, "ids2tokens", return_value=["This", "is", "a", "test", "response", "."]
+        ):
+            processed = self.processor.process_response_dict(response_dict)
+
+        # Assertions
+        self.assertIn("request_id", processed)
+        self.assertIn("responses", processed)
+        self.assertIn("multimodal_outputs", processed)
+        self.assertEqual(processed["responses"][0]["text"], "This is a test response.")
+
+    def test_process_response(self):
+        """
+        Test processing of a Response object through the processor.
+
+        Ensures:
+        1. Returns a Request object
+        2. Response text is correctly decoded
+        3. Multimodal outputs are preserved
+        """
+        from fastdeploy.engine.response import Response
+
+        # Mock a Response object
+        response = Response(
+            request_id="12345",
+            responses=[{"text": "Another test response"}],
+            multimodal_outputs={"images": np.random.randint(0, 256, (1, 3, 224, 224))},
+        )
+
+        # Patch ids2tokens
+        with patch.object(self.processor.processor, "ids2tokens", return_value=["Another", "test", "response"]):
+            processed = self.processor.process_response(response)
+
+        # Assertions
+        self.assertIsInstance(processed, Request)
+        self.assertEqual(processed.responses[0]["text"], "Another test response")
+        self.assertTrue("multimodal_outputs" in processed.__dict__)
+        self.assertEqual(processed.multimodal_outputs["images"].shape, response.multimodal_outputs["images"].shape)
+
     def test_prompt(self):
         """
         Test processing of prompt with image and video placeholders