fix(pipecat): handle missing profile in memory retrieval

packages/pipecat-sdk-python/src/supermemory_pipecat/service.py

@@ -146,14 +146,15 @@ class SupermemoryPipecatService(FrameProcessor):
 
             response = await self._supermemory_client.profile(**kwargs)
 
+            profile = response.profile
             search_results = []
             if response.search_results and response.search_results.results:
                 search_results = response.search_results.results
 
             return {
                 "profile": {
-                    "static": response.profile.static,
-                    "dynamic": response.profile.dynamic,
+                    "static": profile.static if profile else [],
+                    "dynamic": profile.dynamic if profile else [],
                 },
                 "search_results": search_results,
             }

packages/pipecat-sdk-python/tests/test_service.py

@@ -0,0 +1,94 @@
+import importlib.util
+import asyncio
+import sys
+from pathlib import Path
+from types import ModuleType, SimpleNamespace
+
+
+PACKAGE_ROOT = Path(__file__).resolve().parents[1] / "src" / "supermemory_pipecat"
+
+
+def load_service_module():
+    package = ModuleType("supermemory_pipecat")
+    package.__path__ = [str(PACKAGE_ROOT)]
+    sys.modules["supermemory_pipecat"] = package
+
+    pipecat = ModuleType("pipecat")
+    pipecat.__path__ = []
+    pipecat_frames = ModuleType("pipecat.frames")
+    pipecat_frames.__path__ = []
+    pipecat_frames_frames = ModuleType("pipecat.frames.frames")
+    pipecat_frames_frames.Frame = object
+    pipecat_frames_frames.InputAudioRawFrame = type("InputAudioRawFrame", (), {})
+    pipecat_frames_frames.LLMContextFrame = type("LLMContextFrame", (), {})
+    pipecat_frames_frames.LLMMessagesFrame = type("LLMMessagesFrame", (), {})
+
+    pipecat_processors = ModuleType("pipecat.processors")
+    pipecat_processors.__path__ = []
+    pipecat_aggregators = ModuleType("pipecat.processors.aggregators")
+    pipecat_aggregators.__path__ = []
+    pipecat_llm_context = ModuleType("pipecat.processors.aggregators.llm_context")
+    pipecat_llm_context.LLMContext = type("LLMContext", (), {})
+    pipecat_openai_context = ModuleType(
+        "pipecat.processors.aggregators.openai_llm_context"
+    )
+    pipecat_openai_context.OpenAILLMContextFrame = type(
+        "OpenAILLMContextFrame", (), {}
+    )
+    pipecat_frame_processor = ModuleType("pipecat.processors.frame_processor")
+    loguru = ModuleType("loguru")
+    loguru.logger = SimpleNamespace(
+        error=lambda *args, **kwargs: None,
+        warning=lambda *args, **kwargs: None,
+    )
+    pipecat_frame_processor.FrameDirection = type("FrameDirection", (), {})
+    pipecat_frame_processor.FrameProcessor = type(
+        "FrameProcessor",
+        (),
+        {"__init__": lambda self: None, "push_frame": lambda *args: None},
+    )
+
+    sys.modules.update(
+        {
+            "pipecat": pipecat,
+            "pipecat.frames": pipecat_frames,
+            "pipecat.frames.frames": pipecat_frames_frames,
+            "pipecat.processors": pipecat_processors,
+            "pipecat.processors.aggregators": pipecat_aggregators,
+            "pipecat.processors.aggregators.llm_context": pipecat_llm_context,
+            "pipecat.processors.aggregators.openai_llm_context": pipecat_openai_context,
+            "pipecat.processors.frame_processor": pipecat_frame_processor,
+            "loguru": loguru,
+        }
+    )
+
+    spec = importlib.util.spec_from_file_location(
+        "supermemory_pipecat.service", PACKAGE_ROOT / "service.py"
+    )
+    assert spec is not None
+    module = importlib.util.module_from_spec(spec)
+    sys.modules["supermemory_pipecat.service"] = module
+    assert spec.loader is not None
+    spec.loader.exec_module(module)
+    return module
+
+
+class ProfileClient:
+    async def profile(self, **kwargs):
+        self.kwargs = kwargs
+        return SimpleNamespace(profile=None, search_results=None)
+
+
+def test_retrieve_memories_treats_missing_profile_as_empty():
+    module = load_service_module()
+    service = object.__new__(module.SupermemoryPipecatService)
+    service._supermemory_client = ProfileClient()
+    service.container_tag = "user-123"
+    service.params = module.SupermemoryPipecatService.InputParams()
+
+    result = asyncio.run(service._retrieve_memories("hello"))
+
+    assert result == {
+        "profile": {"static": [], "dynamic": []},
+        "search_results": [],
+    }