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* Provenance tests * Embeddings tests * Test librarian * Test triples stream * Test concurrency * Entity centric graph writes * Agent tool service tests * Structured data tests * RDF tests * Addition LLM tests * Reliability tests
135 lines
4.5 KiB
Python
135 lines
4.5 KiB
Python
"""
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Tests for EmbeddingsService.on_request — the request handler that dispatches
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to on_embeddings and sends responses.
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"""
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import pytest
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from unittest.mock import AsyncMock, MagicMock
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from trustgraph.base import EmbeddingsService
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from trustgraph.schema import EmbeddingsRequest, EmbeddingsResponse, Error
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from trustgraph.exceptions import TooManyRequests
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class StubEmbeddingsService(EmbeddingsService):
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"""Minimal concrete implementation for testing on_request."""
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def __init__(self, embed_result=None, embed_error=None):
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# Skip super().__init__ to avoid taskgroup/registration
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self.embed_result = embed_result or [[0.1, 0.2]]
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self.embed_error = embed_error
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async def on_embeddings(self, texts, model=None):
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if self.embed_error:
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raise self.embed_error
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return self.embed_result
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def _make_msg(texts, msg_id="req-1"):
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request = EmbeddingsRequest(texts=texts)
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msg = MagicMock()
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msg.value.return_value = request
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msg.properties.return_value = {"id": msg_id}
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return msg
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def _make_flow(model="test-model"):
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mock_response_producer = AsyncMock()
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mock_flow = MagicMock()
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def flow_callable(name):
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if name == "model":
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return model
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if name == "response":
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return mock_response_producer
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return MagicMock()
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flow_callable.producer = {"response": mock_response_producer}
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return flow_callable, mock_response_producer
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class TestEmbeddingsServiceOnRequest:
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@pytest.mark.asyncio
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async def test_successful_request(self):
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"""on_request should call on_embeddings and send response."""
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service = StubEmbeddingsService(embed_result=[[0.1, 0.2], [0.3, 0.4]])
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msg = _make_msg(["hello", "world"], msg_id="r1")
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flow, mock_response = _make_flow(model="my-model")
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await service.on_request(msg, MagicMock(), flow)
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mock_response.send.assert_called_once()
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resp = mock_response.send.call_args[0][0]
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assert isinstance(resp, EmbeddingsResponse)
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assert resp.error is None
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assert resp.vectors == [[0.1, 0.2], [0.3, 0.4]]
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# Check id is passed through
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props = mock_response.send.call_args[1]["properties"]
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assert props["id"] == "r1"
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@pytest.mark.asyncio
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async def test_passes_model_from_flow(self):
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"""on_request should pass model parameter from flow to on_embeddings."""
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calls = []
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class TrackingService(EmbeddingsService):
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def __init__(self):
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pass
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async def on_embeddings(self, texts, model=None):
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calls.append({"texts": texts, "model": model})
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return [[0.0]]
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service = TrackingService()
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msg = _make_msg(["test"])
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flow, _ = _make_flow(model="custom-model-v2")
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await service.on_request(msg, MagicMock(), flow)
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assert len(calls) == 1
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assert calls[0]["model"] == "custom-model-v2"
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assert calls[0]["texts"] == ["test"]
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@pytest.mark.asyncio
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async def test_error_sends_error_response(self):
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"""Non-rate-limit errors should send an error response."""
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service = StubEmbeddingsService(
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embed_error=ValueError("dimension mismatch")
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)
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msg = _make_msg(["test"], msg_id="r2")
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flow, mock_response = _make_flow()
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await service.on_request(msg, MagicMock(), flow)
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mock_response.send.assert_called_once()
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resp = mock_response.send.call_args[0][0]
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assert resp.error is not None
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assert resp.error.type == "embeddings-error"
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assert "dimension mismatch" in resp.error.message
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assert resp.vectors == []
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@pytest.mark.asyncio
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async def test_rate_limit_propagates(self):
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"""TooManyRequests should propagate (not caught as error response)."""
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service = StubEmbeddingsService(
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embed_error=TooManyRequests("rate limited")
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)
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msg = _make_msg(["test"])
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flow, _ = _make_flow()
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with pytest.raises(TooManyRequests):
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await service.on_request(msg, MagicMock(), flow)
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@pytest.mark.asyncio
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async def test_message_id_preserved(self):
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"""The request message id should be forwarded in the response properties."""
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service = StubEmbeddingsService()
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msg = _make_msg(["test"], msg_id="unique-id-42")
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flow, mock_response = _make_flow()
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await service.on_request(msg, MagicMock(), flow)
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props = mock_response.send.call_args[1]["properties"]
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assert props["id"] == "unique-id-42"
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