381 lines
12 KiB
Python
381 lines
12 KiB
Python
import pytest
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from haiku.rag.client import HaikuRAG
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from haiku.rag.config import Config
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from haiku.rag.hooks import ENTRY_POINT_GROUP, Hook, build_hooks
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from haiku.rag.store.models.chunk import Chunk
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from tests.test_client import _docling_doc, _import
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class RecordingHook(Hook):
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def __init__(self):
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self.events: list[tuple] = []
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async def after_ingest(self, client, event):
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self.events.append(
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("ingest", event.operation, tuple((d.id, d.uri) for d in event.documents))
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)
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async def after_delete(self, client, event):
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self.events.append(("delete", tuple((d.id, d.uri) for d in event.documents)))
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class AppendTokenHook(Hook):
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def __init__(self, token: str = "expanded"):
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self.token = token
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async def before_search(self, client, request):
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request.query = f"{request.query} {self.token}"
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return request
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class FilterHook(Hook):
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async def before_search(self, client, request):
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request.filter = "uri = 'mem://hooked'"
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return request
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class ReverseResultsHook(Hook):
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async def after_search(self, client, request, results):
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self.seen_query = request.query
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return list(reversed(results))
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class _EntryPointStub:
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def __init__(self, factory):
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self._factory = factory
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def load(self):
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return self._factory
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class _BrokenEntryPoint:
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def load(self):
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raise AssertionError("unreferenced entry point must not be loaded")
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def test_build_hooks_unknown_name_raises():
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with pytest.raises(ValueError, match=ENTRY_POINT_GROUP):
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build_hooks(["missing"], {})
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def test_build_hooks_loads_lazily_in_configured_order():
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discovered = {
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"recording": _EntryPointStub(RecordingHook),
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"append": _EntryPointStub(AppendTokenHook),
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"broken": _BrokenEntryPoint(),
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}
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hooks = build_hooks(["append", "recording"], discovered)
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assert [type(h) for h in hooks] == [AppendTokenHook, RecordingHook]
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def test_client_init_unknown_hook_raises(temp_db_path):
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config = Config.model_copy(deep=True)
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config.hooks = ["missing"]
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with pytest.raises(ValueError, match="missing"):
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HaikuRAG(temp_db_path, config=config, create=True)
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def test_client_builds_hooks_from_entry_points(temp_db_path, monkeypatch):
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class _NamedEntryPoint:
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name = "recording"
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def load(self):
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return RecordingHook
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def fake_entry_points(group):
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assert group == ENTRY_POINT_GROUP
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return [_NamedEntryPoint()]
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monkeypatch.setattr("haiku.rag.hooks.entry_points", fake_entry_points)
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config = Config.model_copy(deep=True)
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config.hooks = ["recording"]
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client = HaikuRAG(temp_db_path, config=config, create=True)
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assert len(client._hooks) == 1
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assert isinstance(client._hooks[0], RecordingHook)
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def test_client_without_hooks_builds_none(temp_db_path):
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client = HaikuRAG(temp_db_path, create=True)
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assert client._hooks == []
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async def _capture_repo_search(client):
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captured = {}
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async def fake_search(query, limit, search_type=None, filter=None, **kwargs):
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captured["query"] = query
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captured["filter"] = filter
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return []
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client.chunk_repository.search = fake_search
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return captured
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@pytest.mark.asyncio
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async def test_before_search_hooks_chain_in_order(temp_db_path):
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async with HaikuRAG(temp_db_path, create=True) as client:
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spy = SpyBeforeSearchHook()
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client._hooks = [
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AppendTokenHook("one"),
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AppendTokenHook("two"),
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FilterHook(),
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spy,
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]
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captured = await _capture_repo_search(client)
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await client.search("alpha")
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assert captured["query"] == "alpha one two"
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assert captured["filter"] == "uri = 'mem://hooked'"
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# The request carries the resolved search parameters.
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assert spy.requests == [("alpha one two", "hybrid", Config.search.limit)]
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class SpyBeforeSearchHook(Hook):
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def __init__(self):
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self.requests: list[tuple] = []
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async def before_search(self, client, request):
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self.requests.append((request.query, request.search_type, request.limit))
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return request
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@pytest.mark.asyncio
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async def test_before_search_skips_non_text_queries(temp_db_path):
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async with HaikuRAG(temp_db_path, create=True) as client:
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hook = SpyBeforeSearchHook()
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client._hooks = [hook]
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captured = {}
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async def fake_search(query, limit, search_type=None, filter=None, **kwargs):
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captured["query"] = query
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return []
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client.chunk_repository.search = fake_search
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async def fake_embed_image(image):
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return [0.1] * Config.embeddings.model.vector_dim
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client.store.embedder.embed_image = fake_embed_image
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client.store.embedder.supports_images = True
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await client.search(b"image-bytes")
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assert hook.requests == []
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@pytest.mark.asyncio
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async def test_after_search_transforms_results(temp_db_path):
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async with HaikuRAG(temp_db_path, create=True) as client:
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hook = ReverseResultsHook()
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client._hooks = [hook]
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chunks = [
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(Chunk(id="c1", content="first", document_id="d1", order=0), 0.9),
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(Chunk(id="c2", content="second", document_id="d1", order=1), 0.5),
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]
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async def fake_search(query, limit, search_type=None, filter=None, **kwargs):
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return chunks
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client.chunk_repository.search = fake_search
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results = await client.search("alpha", include_images=False)
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assert [r.content for r in results] == ["second", "first"]
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assert hook.seen_query == "alpha"
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@pytest.mark.asyncio
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async def test_after_ingest_fires_on_import_batch_update(temp_db_path):
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spy = RecordingHook()
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dim = Config.embeddings.model.vector_dim
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async with HaikuRAG(temp_db_path, create=True) as client:
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client._hooks = [spy]
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doc = await client.import_document(
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_docling_doc("a", "Alpha body"),
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[Chunk(content="Alpha body", embedding=[0.1] * dim, order=0)],
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uri="mem://a",
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title="Alpha",
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)
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assert spy.events == [("ingest", "create", ((doc.id, "mem://a"),))]
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# A batch import arrives as one event carrying all documents.
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spy.events.clear()
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batch = await client.import_documents(
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[
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_import("b", "Beta body", uri="mem://b", title="Beta"),
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_import("c", "Gamma body", uri="mem://c", title="Gamma"),
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]
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)
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assert spy.events == [
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(
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"ingest",
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"create",
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((batch[0].id, "mem://b"), (batch[1].id, "mem://c")),
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)
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]
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spy.events.clear()
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assert doc.id is not None
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await client.update_document(
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doc.id,
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docling_document=_docling_doc("a2", "Alpha updated"),
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chunks=[Chunk(content="Alpha updated", embedding=[0.2] * dim, order=0)],
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)
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assert spy.events == [("ingest", "update", ((doc.id, "mem://a"),))]
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# Creation against an already-stored URI updates in place.
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spy.events.clear()
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await client.import_document(
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_docling_doc("a3", "Alpha again"),
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[Chunk(content="Alpha again", embedding=[0.3] * dim, order=0)],
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uri="mem://a",
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title="Alpha",
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)
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assert spy.events == [("ingest", "update", ((doc.id, "mem://a"),))]
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@pytest.mark.asyncio
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async def test_metadata_only_update_does_not_fire_after_ingest(temp_db_path):
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spy = RecordingHook()
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dim = Config.embeddings.model.vector_dim
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async with HaikuRAG(temp_db_path, create=True) as client:
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client._hooks = [spy]
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doc = await client.import_document(
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_docling_doc("a", "Alpha body"),
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[Chunk(content="Alpha body", embedding=[0.1] * dim, order=0)],
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uri="mem://a",
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title="Alpha",
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)
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assert doc.id is not None
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spy.events.clear()
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await client.update_document(doc.id, title="Renamed")
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assert spy.events == []
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@pytest.mark.asyncio
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async def test_after_delete_fires_for_cascade(temp_db_path):
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spy = RecordingHook()
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dim = Config.embeddings.model.vector_dim
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async with HaikuRAG(temp_db_path, create=True) as client:
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client._hooks = [spy]
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parent = await client.import_document(
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_docling_doc("p", "Parent body"),
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[Chunk(content="Parent body", embedding=[0.1] * dim, order=0)],
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uri="mem://parent",
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title="Parent",
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)
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child = await client.import_document(
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_docling_doc("k", "Child body"),
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[Chunk(content="Child body", embedding=[0.1] * dim, order=0)],
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uri="mem://child",
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title="Child",
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metadata={"parent_uri": "mem://parent"},
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)
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assert parent.id is not None and child.id is not None
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spy.events.clear()
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assert await client.delete_document(parent.id) is True
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# One event for the whole cascade, carrying the deleted documents'
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# last-known state (uri still resolvable).
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assert len(spy.events) == 1
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kind, deleted = spy.events[0]
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assert kind == "delete"
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assert set(deleted) == {(parent.id, "mem://parent"), (child.id, "mem://child")}
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class AnnotateHook(Hook):
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async def after_search(self, client, request, results):
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for result in results:
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result.annotations = ["XMT: transmit"]
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return results
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@pytest.mark.asyncio
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async def test_after_search_hook_annotations_render_for_agent(temp_db_path):
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async with HaikuRAG(temp_db_path, create=True) as client:
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client._hooks = [AnnotateHook()]
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async def fake_search(query, limit, search_type=None, filter=None, **kwargs):
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return [(Chunk(id="c1", content="XMT lamp check", order=0), 0.9)]
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client.chunk_repository.search = fake_search
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results = await client.search("lamp", include_images=False)
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assert results[0].annotations == ["XMT: transmit"]
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assert "Note: XMT: transmit" in results[0].format_for_agent()
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def test_format_for_agent_without_annotations_has_no_notes():
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from haiku.rag.store.models.chunk import SearchResult
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result = SearchResult(content="plain", score=0.5)
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assert "Note:" not in result.format_for_agent()
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@pytest.mark.asyncio
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async def test_annotations_survive_context_expansion(temp_db_path):
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from haiku.rag.context import expand_with_items
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from haiku.rag.store.models.chunk import SearchResult
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from haiku.rag.store.models.document_item import DocumentItem
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async with HaikuRAG(temp_db_path, create=True) as client:
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items = [
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DocumentItem(
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document_id="doc-1",
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position=i,
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self_ref=f"#/texts/{i}",
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label="text",
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text=f"Paragraph {i}. " * 10,
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)
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for i in range(5)
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]
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await client.document_item_repository.create_items("doc-1", items)
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r1 = SearchResult(
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content="Paragraph 1.",
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score=0.9,
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chunk_id="c1",
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document_id="doc-1",
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doc_item_refs=["#/texts/1"],
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annotations=["XMT: transmit", "shared note"],
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)
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r2 = SearchResult(
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content="Paragraph 3.",
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score=0.85,
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chunk_id="c2",
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document_id="doc-1",
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doc_item_refs=["#/texts/3"],
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annotations=["RCV: receive", "shared note"],
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)
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expanded = await expand_with_items(
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client.document_item_repository, "doc-1", [r1, r2], 5000
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)
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assert len(expanded) == 1
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assert expanded[0].annotations == [
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"XMT: transmit",
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"shared note",
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"RCV: receive",
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]
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@pytest.mark.asyncio
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async def test_delete_missing_document_fires_nothing(temp_db_path):
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spy = RecordingHook()
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async with HaikuRAG(temp_db_path, create=True) as client:
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client._hooks = [spy]
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assert await client.delete_document("does-not-exist") is False
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assert spy.events == []
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