Two files of 1,405 and 814 lines become seven: scope resolution, lifecycle, search, documents, expansion, citations and capabilities. `_config`, `_seed` and the rest move to `helpers.py`, importable by the sandbox tests that share them, and the package points VCR back at `tests/cassettes/multi_db/`.
375 lines
15 KiB
Python
375 lines
15 KiB
Python
"""Searching several databases and fusing what they return."""
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import pytest
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from docling_core.types.doc.document import DoclingDocument
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from docling_core.types.doc.labels import DocItemLabel
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from haiku.rag.client import HaikuRAG
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from haiku.rag.client.session import FederatedSession
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from haiku.rag.config import get_config
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from haiku.rag.store.exceptions import (
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ConfigMismatchError,
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SourceUnavailableError,
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)
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from haiku.rag.store.models import Chunk, DocumentItem
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from tests.multi_db.helpers import (
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StubReranker,
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_config,
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_restore_embedder,
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_seed,
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)
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class TestFederatedSearch:
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@pytest.mark.asyncio
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async def test_results_carry_their_source(self, tmp_path):
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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async with HaikuRAG(config=config) as rag:
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results = await rag.search("cats", limit=10, search_type="fts")
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assert {r.source for r in results} == {"alpha", "beta"}
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for r in results:
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assert r.source is not None
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assert r.source in r.content
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@pytest.mark.asyncio
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async def test_sources_selects_a_subset(self, tmp_path):
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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async with HaikuRAG(config=config) as rag:
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results = await rag.search(
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"cats", limit=10, search_type="fts", sources=["alpha"]
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)
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assert {r.source for r in results} == {"alpha"}
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@pytest.mark.asyncio
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async def test_unknown_source_is_rejected(self, tmp_path):
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config = _config(tmp_path, ["alpha"])
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await _seed(config, "alpha", ["alpha document about cats"])
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async with HaikuRAG(config=config) as rag:
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with pytest.raises(KeyError, match="nope"):
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await rag.search("cats", search_type="fts", sources=["nope"])
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@pytest.mark.asyncio
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async def test_an_unopenable_database_fails_the_query(self, tmp_path):
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config = _config(tmp_path, ["alpha", "missing"])
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await _seed(config, "alpha", ["alpha document about cats"])
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with pytest.raises(SourceUnavailableError, match="missing"):
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async with HaikuRAG(config=config) as rag:
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await rag.search("cats", search_type="fts")
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class TestSingleDatabaseUnchanged:
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@pytest.mark.asyncio
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async def test_source_is_unset_without_configured_databases(self, temp_db_path):
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async with HaikuRAG(temp_db_path, create=True) as rag:
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doc = DoclingDocument(name="one")
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doc.add_text(label=DocItemLabel.TEXT, text="a document about cats")
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await rag.import_document(
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doc,
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[
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Chunk(
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content="a document about cats",
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embedding=[0.1] * get_config().embeddings.model.vector_dim,
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order=0,
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)
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],
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uri="test://one",
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)
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results = await rag.search("cats", search_type="fts")
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assert results
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assert all(r.source is None for r in results)
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class TestOneQueryVector:
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@pytest.mark.asyncio
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async def test_a_search_embeds_the_query_once_for_the_whole_set(
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self, tmp_path, query_embedding
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):
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"""Each database owns an embedder, so embedding per database costs a
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round trip each on a remote endpoint."""
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config = _config(tmp_path, ["alpha", "beta", "gamma"])
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for name in ("alpha", "beta", "gamma"):
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await _seed(config, name, [f"{name} one"])
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async with HaikuRAG(config=config, read_only=True) as rag:
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await rag.search("one")
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assert query_embedding == ["one"]
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class TestOneEmbedderAcrossTheSet:
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"""A set is searched with one query vector, so a database written with
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another model would answer from a different space."""
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@pytest.mark.asyncio
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async def test_disagreeing_databases_cannot_be_searched_together(self, tmp_path):
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha one"])
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await _seed(config, "beta", ["beta one"])
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await _restore_embedder(config, "beta", model_name="some-other-model")
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async with HaikuRAG(config=config, read_only=True) as rag:
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with pytest.raises(ConfigMismatchError, match="different embedders"):
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await rag.search("one")
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@pytest.mark.asyncio
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async def test_a_database_asked_for_alone_is_never_compared(
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self, tmp_path, query_embedding
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):
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"""Only databases searched together have to agree."""
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha one"])
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await _seed(config, "beta", ["beta one"])
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await _restore_embedder(config, "beta", model_name="some-other-model")
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async with HaikuRAG(config=config, read_only=True) as rag:
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assert await rag.search("one", sources=["alpha"]) is not None
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assert await rag.count_documents(filter=None) is not None
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@pytest.mark.asyncio
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async def test_full_text_search_needs_no_agreement(self, tmp_path):
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"""Full-text search embeds nothing, so which model wrote each database
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does not come into it."""
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha one"])
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await _seed(config, "beta", ["beta one"])
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await _restore_embedder(config, "beta", model_name="some-other-model")
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async with HaikuRAG(config=config, read_only=True) as rag:
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results = await rag.search("one", search_type="fts")
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assert {r.source for r in results} == {"alpha", "beta"}
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@pytest.mark.asyncio
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async def test_agreeing_databases_search_together(self, tmp_path, query_embedding):
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"""The databases agree with each other; that they were written by a
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differently-spelled provider than the config is the soft case."""
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha one"])
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await _seed(config, "beta", ["beta one"])
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await _restore_embedder(config, "alpha", provider="openai")
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await _restore_embedder(config, "beta", provider="openai")
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async with HaikuRAG(config=config, read_only=True) as rag:
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assert len(await rag.search("one")) > 0
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class TestRerankerFusion:
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@pytest.mark.asyncio
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async def test_the_reranker_scores_the_union_and_owners_survive(
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self, tmp_path, monkeypatch
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):
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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stub = StubReranker()
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monkeypatch.setattr(HaikuRAG, "reranker", property(lambda self: stub))
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async with HaikuRAG(config=config) as rag:
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results = await rag.search("cats", limit=2, search_type="fts")
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# It saw both databases' candidates, not one database at a time.
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assert len(stub.seen) == 2
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assert {c.split()[0] for c in stub.seen} == {"alpha", "beta"}
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# Each result still knows which database it came from.
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for r in results:
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assert r.source is not None
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assert r.content.startswith(r.source)
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@pytest.mark.asyncio
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async def test_a_closing_failure_does_not_mask_the_exit(self, tmp_path):
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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rag = HaikuRAG(config=config)
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await rag.__aenter__()
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await rag.clients_for(["alpha", "beta"])
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assert isinstance(rag._session, FederatedSession)
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sessions = rag._session._sessions
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async def boom():
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raise RuntimeError("close failed")
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sessions["alpha"].aclose = boom # ty: ignore[invalid-assignment]
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beta = sessions["beta"].store
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await rag.__aexit__(None, None, None)
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# The failure is swallowed, and the sibling is still closed after it.
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assert rag._clients == {}
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assert rag._session._sessions == {}
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assert not beta.db.is_open()
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@pytest.mark.asyncio
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async def test_multimodal_reranking_attaches_each_database_own_pictures(
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self, tmp_path, monkeypatch
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):
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"""Picture self_refs repeat across databases exactly as they do across
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documents, so the pre-rerank attach must stay per database."""
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config = _config(tmp_path, ["alpha", "beta"])
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config.reranking.multimodal = True
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dim = get_config().embeddings.model.vector_dim
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for name in ("alpha", "beta"):
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async with HaikuRAG(config=config, create=True, sources=[name]) as rag:
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doc = DoclingDocument(name=name)
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doc.add_text(label=DocItemLabel.TEXT, text=f"{name} figure of cats")
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await rag.import_document(
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doc,
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[
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Chunk(
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content=f"{name} figure of cats",
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embedding=[0.1] * dim,
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order=0,
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metadata={
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"doc_item_refs": ["#/pictures/0"],
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"labels": ["picture"],
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},
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)
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],
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uri=f"test://{name}/figure",
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)
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[document] = await rag.list_documents()
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assert document.id is not None
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await rag.document_item_repository.create_items(
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document.id,
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[
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DocumentItem(
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document_id=document.id,
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position=0,
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self_ref="#/pictures/0",
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label="picture",
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text=f"caption {name}",
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picture_data=f"bytes-{name}".encode(),
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)
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],
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)
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stub = StubReranker()
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monkeypatch.setattr(HaikuRAG, "reranker", property(lambda self: stub))
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async with HaikuRAG(config=config) as rag:
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await rag.search("cats", limit=2, search_type="fts")
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assert stub.attached == {"alpha": b"bytes-alpha", "beta": b"bytes-beta"}
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class TestOneReranker:
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@pytest.mark.asyncio
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async def test_the_set_builds_one_reranker_for_a_text_query(
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self, tmp_path, monkeypatch
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):
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"""Local rerankers load model weights per instance, so a set of
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databases must build one, not one each."""
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built = []
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monkeypatch.setattr(
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"haiku.rag.client.get_reranker",
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lambda config: built.append(config) or StubReranker(),
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)
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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built.clear()
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async with HaikuRAG(config=config) as rag:
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await rag.search("cats", limit=2, search_type="fts")
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assert len(built) == 1, f"built {len(built)} rerankers"
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@pytest.mark.asyncio
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async def test_an_image_query_builds_no_reranker(self, tmp_path, monkeypatch):
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"""Opening a database must not build one either: an image query has no
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text to score against and never uses it."""
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built = []
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monkeypatch.setattr(
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"haiku.rag.client.get_reranker",
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lambda config: built.append(config) or StubReranker(),
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)
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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built.clear()
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async with HaikuRAG(config=config) as rag:
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await rag.clients_for(["alpha", "beta"])
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assert built == []
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@pytest.mark.asyncio
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async def test_the_reranker_is_closed_once(self, tmp_path, monkeypatch):
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"""Handing the same object to every database and letting each close it
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would close it N times, and the federator not at all."""
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closes = []
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class CountingReranker(StubReranker):
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async def aclose(self):
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closes.append(1)
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monkeypatch.setattr(
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"haiku.rag.client.get_reranker", lambda config: CountingReranker()
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)
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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async with HaikuRAG(config=config) as rag:
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await rag.search("cats", limit=2, search_type="fts")
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assert closes == [1], f"closed {len(closes)} times"
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class TestOneNamedDatabase:
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@pytest.mark.asyncio
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async def test_a_single_named_database_keeps_its_name(self, tmp_path):
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"""Named in config is named in results, even as the only entry."""
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config = _config(tmp_path, ["alpha"])
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await _seed(config, "alpha", ["alpha document about cats"])
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async with HaikuRAG(config=config) as rag:
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results = await rag.search("cats", search_type="fts")
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assert results
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assert all(r.source == "alpha" for r in results)
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@pytest.mark.asyncio
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async def test_selecting_nothing_at_construction_is_rejected(self, tmp_path):
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config = _config(tmp_path, ["alpha", "beta"])
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with pytest.raises(ValueError, match="selects no database"):
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async with HaikuRAG(config=config, sources=[]):
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pass
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@pytest.mark.asyncio
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async def test_selecting_nothing_means_the_same_with_one_database(self, tmp_path):
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"""`sources=[]` selects nothing whether one database is configured or
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several, rather than raising on one path and returning nothing on the
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other."""
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config = _config(tmp_path, ["alpha"])
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await _seed(config, "alpha", ["alpha document about cats"])
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async with HaikuRAG(config=config) as rag:
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assert await rag.search("cats", search_type="fts", sources=[]) == []
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@pytest.mark.asyncio
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async def test_selecting_nothing_per_query_returns_nothing(self, tmp_path):
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config = _config(tmp_path, ["alpha", "beta"])
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await _seed(config, "alpha", ["alpha document about cats"])
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await _seed(config, "beta", ["beta document about cats"])
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async with HaikuRAG(config=config) as rag:
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assert await rag.search("cats", search_type="fts", sources=[]) == []
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