Module 5 phase 4 step 0 (docs/kb/modules/05-faza4-plan.md, §3, decision 1): kb-query is a long-lived Docker service, documents-ingest is a venv job with an `anthropic` dependency and CLI scripts it doesn't need. Move embed_chunk/_vector_literal/cascade_query/flat_query into a shared package with minimal deps (asyncpg, aiohttp only) so both can depend on the same tested retrieval code without the service image pulling in the job's extras. documents_ingest.chunk_embed/retrieval keep thin re-exports so nothing importing the old paths breaks. Pure refactor: retrieval_eval.py run live against kb-postgres@PIHA + Ollama@SOLARIA before/after gives byte-identical `dist`/hit@3/gate results (still PASS) — zero behavior change in the cascade. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
110 lines
3.4 KiB
Python
110 lines
3.4 KiB
Python
"""Unit tests for the Ollama embedding client -- no real HTTP, no real Ollama."""
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from __future__ import annotations
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import pytest
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from kb_retrieval.embed import _vector_literal, check_ollama_health, embed_chunk
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class TestVectorLiteral:
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def test_formats_as_bracketed_csv(self):
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assert _vector_literal([0.1, 0.2, -0.3]) == "[0.1,0.2,-0.3]"
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class _FakeEmbedResponse:
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def __init__(self, payload, status=200):
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self._payload = payload
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self._status = status
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async def __aenter__(self):
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return self
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async def __aexit__(self, *exc):
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return False
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async def json(self):
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return self._payload
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def raise_for_status(self):
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if self._status >= 400:
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raise RuntimeError(f"HTTP {self._status}")
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class _FakeOllamaSession:
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"""Serves a fixed embedding vector for every /api/embeddings POST, or errors by prompt."""
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def __init__(self, dim=1024, fail_for=None):
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self._dim = dim
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self._fail_for = fail_for or set()
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self.requests: list[dict] = []
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def post(self, url, json):
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self.requests.append({"url": url, "json": json})
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if json["prompt"] in self._fail_for:
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return _FakeEmbedResponse({}, status=500)
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return _FakeEmbedResponse({"embedding": [0.01] * self._dim})
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class TestEmbedChunk:
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async def test_returns_embedding_and_elapsed(self):
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session = _FakeOllamaSession(dim=1024)
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embedding, elapsed = await embed_chunk(session, "http://fake-ollama", "bge-m3", "hello world")
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assert len(embedding) == 1024
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assert elapsed >= 0
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assert session.requests == [
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{"url": "http://fake-ollama/api/embeddings", "json": {"model": "bge-m3", "prompt": "hello world"}}
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]
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async def test_missing_embedding_key_raises(self):
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class _EmptyResponse(_FakeEmbedResponse):
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pass
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class _Session:
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def post(self, url, json):
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return _EmptyResponse({})
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with pytest.raises(ValueError):
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await embed_chunk(_Session(), "http://fake-ollama", "bge-m3", "text")
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class _FakeTagsResponse:
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def __init__(self, status):
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self.status = status
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async def __aenter__(self):
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return self
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async def __aexit__(self, *exc):
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return False
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class _FakeHealthSession:
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def __init__(self, status=200, raises=None):
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self._status = status
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self._raises = raises
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def get(self, url, timeout=None):
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if self._raises is not None:
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raise self._raises
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return _FakeTagsResponse(self._status)
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class TestCheckOllamaHealth:
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async def test_up_on_2xx(self):
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session = _FakeHealthSession(status=200)
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assert await check_ollama_health(session, "http://fake-ollama", 0.5) is True
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async def test_down_on_error_status(self):
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session = _FakeHealthSession(status=500)
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assert await check_ollama_health(session, "http://fake-ollama", 0.5) is False
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async def test_down_on_connection_error(self):
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import aiohttp
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session = _FakeHealthSession(raises=aiohttp.ClientConnectionError("refused"))
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assert await check_ollama_health(session, "http://fake-ollama", 0.5) is False
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async def test_down_on_timeout(self):
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session = _FakeHealthSession(raises=TimeoutError())
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assert await check_ollama_health(session, "http://fake-ollama", 0.5) is False
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