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bd1e767b74
The pipecat, cartesia, and agent-framework packages passed search results into dedup/format helpers written for plain dicts, but typed SDK results are pydantic models (snake_case attributes, no dict interface). pipecat and cartesia crashed with AttributeError — swallowed upstream, so no memories were ever injected for users with search results — while agent-framework silently dropped every search-result memory. Extract memory fields through a tolerant accessor that accepts both the camelCase dicts returned by the profile endpoint and SDK result models, so the helpers work regardless of installed SDK version. The pipecat/cartesia dependency stubs move from test_empty_profile.py into a shared tests/conftest.py so the new utils tests can reuse them. Fixes #1266
34 lines
No EOL
1,004 B
Python
34 lines
No EOL
1,004 B
Python
from __future__ import annotations
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import unittest
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from types import SimpleNamespace
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from unittest.mock import AsyncMock
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from .conftest import _install_test_stubs
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_install_test_stubs()
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from supermemory_pipecat.service import SupermemoryPipecatService
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class _MockSupermemoryClient:
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def __init__(self, response):
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self.profile = AsyncMock(return_value=response)
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class TestSupermemoryPipecatNullProfile(unittest.IsolatedAsyncioTestCase):
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async def test_retrieve_memories_handles_null_profile(self) -> None:
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service = SupermemoryPipecatService(api_key="mock_key", user_id="new_user_123")
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response = SimpleNamespace(profile=None, search_results=None)
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service._supermemory_client = _MockSupermemoryClient(response)
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result = await service._retrieve_memories("Hello world")
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self.assertEqual(
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result,
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{
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"profile": {"static": [], "dynamic": []},
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"search_results": [],
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},
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) |