wehub-resource-sync
70 lines
2.4 KiB
Python
70 lines
2.4 KiB
Python
"""Regression tests for nvidia_openai_embed AsyncOpenAI cleanup.
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Mirrors the cleanup contract established for the Anthropic backend
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(``tests/llm/anthropic_impl/test_anthropic_client_cleanup.py``, PR #3261):
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the per-call ``AsyncOpenAI`` client must be released on both the success and
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error paths so its httpx connection pool does not leak one pool per call.
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``nvidia_openai_embed`` now holds the client in an ``async with`` (matching
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``openai_embed``); these tests pin that behavior. The raw function is invoked
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via ``.func.__wrapped__`` to bypass the ``EmbeddingFunc`` and tenacity
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``@retry`` wrappers.
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"""
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from types import SimpleNamespace
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from unittest.mock import AsyncMock, patch
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import pytest
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from lightrag.llm.nvidia_openai import nvidia_openai_embed
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class _FakeAsyncOpenAI:
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"""Mimics ``AsyncOpenAI`` as an async context manager.
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The real SDK's ``__aexit__`` closes the client; this fake does the same so
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the test can assert on ``close()``.
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"""
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def __init__(self, *, create):
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self.embeddings = SimpleNamespace(create=create)
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self.close = AsyncMock()
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async def __aenter__(self):
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return self
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async def __aexit__(self, exc_type, exc, tb):
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await self.close()
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def _make_response(embedding=(0.1, 0.2, 0.3)):
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return SimpleNamespace(data=[SimpleNamespace(embedding=list(embedding))])
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@pytest.mark.offline
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@pytest.mark.asyncio
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async def test_client_closed_after_success():
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"""Successful embed: client.close() runs after the result is returned."""
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fake = _FakeAsyncOpenAI(create=AsyncMock(return_value=_make_response()))
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with patch("lightrag.llm.nvidia_openai.AsyncOpenAI", return_value=fake):
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result = await nvidia_openai_embed.func.__wrapped__(texts=["hello"])
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assert result.tolist() == [[0.1, 0.2, 0.3]]
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fake.embeddings.create.assert_awaited_once()
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fake.close.assert_awaited()
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@pytest.mark.offline
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@pytest.mark.asyncio
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async def test_client_closed_on_error():
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"""API error: client.close() runs before the error propagates."""
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fake = _FakeAsyncOpenAI(create=AsyncMock(side_effect=RuntimeError("boom")))
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with patch("lightrag.llm.nvidia_openai.AsyncOpenAI", return_value=fake):
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with pytest.raises(RuntimeError, match="boom"):
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await nvidia_openai_embed.func.__wrapped__(texts=["hello"])
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fake.embeddings.create.assert_awaited_once()
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fake.close.assert_awaited()
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