a9e66b001b
Naming one database on the command line points the configuration at it, so no command that prints a document ever has a name to print.
810 lines
23 KiB
Python
810 lines
23 KiB
Python
"""Tests for the CLI application layer.
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They stub the client and record the console: each test pins what the app asks
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the client for and what it renders, without a database or a model.
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"""
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from unittest.mock import AsyncMock
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import pytest
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from rich.console import Console
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from haiku.rag.app import HaikuRAGApp
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from haiku.rag.client import RebuildMode
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from haiku.rag.config.models import AppConfig, LanceDBConfig
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from haiku.rag.store.models.chunk import Chunk, SearchResult
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from haiku.rag.store.models.document import Document
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@pytest.fixture
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def client():
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return AsyncMock()
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@pytest.fixture
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def app(tmp_path, client, monkeypatch):
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class StubHaikuRAG:
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# run_mcp passes db_path positionally; every other caller uses kwargs.
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def __init__(self, *args, **kwargs):
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pass
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async def __aenter__(self):
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return client
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async def __aexit__(self, *exc):
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return False
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monkeypatch.setattr("haiku.rag.app.HaikuRAG", StubHaikuRAG)
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db = tmp_path / "db.lancedb"
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db.mkdir()
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application = HaikuRAGApp(db_path=db, config=AppConfig())
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application.console = Console(record=True, width=200)
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return application
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def out(app) -> str:
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# clear=False: export_text() empties the buffer by default, so a second
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# assertion in the same test would see nothing.
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return app.console.export_text(clear=False)
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def _doc(content: str = "body text", **kwargs) -> Document:
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doc = Document(content=content, uri=kwargs.pop("uri", "test://doc"), **kwargs)
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doc.id = kwargs.get("id", "doc-1")
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return doc
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async def test_list_documents_prints_each_document(app, client):
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client.list_documents.return_value = [_doc("first"), _doc("second")]
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await app.list_documents()
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client.list_documents.assert_awaited_once_with(filter=None)
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assert "first" in out(app)
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assert "second" in out(app)
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async def test_add_document_from_text_reports_the_new_id(app, client):
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client.create_document.return_value = _doc("added body")
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await app.add_document_from_text("added body", title="T", metadata={"k": "v"})
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client.create_document.assert_awaited_once_with(
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"added body", title="T", metadata={"k": "v"}
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)
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assert "doc-1 added successfully" in out(app)
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async def test_add_document_from_source_reports_one_document(app, client):
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client.create_document_from_source.return_value = _doc("from file")
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await app.add_document_from_source("/tmp/x.md")
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assert "doc-1 added successfully" in out(app)
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async def test_add_document_from_source_reports_a_directory_count(app, client):
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client.create_document_from_source.return_value = [_doc("a"), _doc("b")]
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await app.add_document_from_source("/tmp/dir")
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assert "2 documents added successfully" in out(app)
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async def test_get_document_reports_a_missing_id(app, client):
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client.get_document_by_id.return_value = None
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await app.get_document("nope")
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assert "not found" in out(app)
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async def test_get_document_prints_it_untruncated(app, client):
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client.get_document_by_id.return_value = _doc("line1\nline2\nline3\nline4")
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await app.get_document("doc-1")
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assert "line4" in out(app)
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async def test_delete_document_confirms(app, client):
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client.delete_document.return_value = True
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await app.delete_document("doc-1")
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assert "deleted successfully" in out(app)
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async def test_delete_document_reports_a_missing_id(app, client):
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client.delete_document.return_value = False
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await app.delete_document("nope")
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assert "not found" in out(app)
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async def test_search_requires_a_query_or_an_image(app):
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await app.search()
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assert "Provide either a query argument or --image" in out(app)
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async def test_search_refuses_both_a_query_and_an_image(app, tmp_path):
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await app.search(query="q", image=tmp_path / "i.png")
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assert "not both" in out(app)
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async def test_search_type_needs_a_text_query(app, tmp_path):
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await app.search(image=tmp_path / "i.png", search_type="vector")
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assert "only for text queries" in out(app)
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async def test_search_reports_no_results(app, client):
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client.search.return_value = []
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await app.search(query="q")
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assert "No results found" in out(app)
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async def test_search_prints_results(app, client):
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client.search.return_value = [
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SearchResult(content="hit one", score=0.9, chunk_id="c1")
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]
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await app.search(query="q", limit=3)
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client.search.assert_awaited_once_with("q", limit=3, filter=None, search_type=None)
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assert "hit one" in out(app)
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async def test_search_by_image_reads_the_bytes(app, client, tmp_path):
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image = tmp_path / "query.png"
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image.write_bytes(b"pixels")
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client.search.return_value = []
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await app.search(image=image)
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assert client.search.await_args.args[0] == b"pixels"
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async def test_visualize_reports_a_missing_chunk(app, client):
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client.get_chunk_by_id.return_value = None
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await app.visualize_chunk("nope")
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assert "not found" in out(app)
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async def test_visualize_reports_no_grounding(app, client):
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client.get_chunk_by_id.return_value = Chunk(content="c", order=0)
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client.visualize_chunk.return_value = []
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await app.visualize_chunk("c1")
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assert "No visual grounding available" in out(app)
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async def test_ask_prints_question_answer_and_citations(app, client, monkeypatch):
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client.ask.return_value = ("The answer.", [])
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async def no_citations(citations, client=None):
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return ["citation block"]
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monkeypatch.setattr("haiku.rag.app.format_citations_rich", no_citations)
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await app.ask("why?", filter="uri LIKE 'x%'")
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client.ask.assert_awaited_once_with("why?", filter="uri LIKE 'x%'", images=None)
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printed = out(app)
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assert "why?" in printed
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assert "The answer." in printed
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assert "citation block" in printed
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async def test_ask_attaches_image_bytes(app, client, monkeypatch, tmp_path):
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image = tmp_path / "a.png"
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image.write_bytes(b"img")
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client.ask.return_value = ("answer", [])
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async def no_citations(citations, client=None):
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return []
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monkeypatch.setattr("haiku.rag.app.format_citations_rich", no_citations)
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await app.ask("why?", images=[image])
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assert client.ask.await_args.kwargs["images"] == [b"img"]
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async def test_analyze_prints_the_answer(app, client, monkeypatch):
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result = AsyncMock()
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result.answer = "computed answer"
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result.citations = []
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client.analyze.return_value = result
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async def no_citations(citations, client=None):
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return []
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monkeypatch.setattr("haiku.rag.app.format_citations_rich", no_citations)
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await app.analyze("how many?")
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printed = out(app)
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assert "how many?" in printed
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assert "computed answer" in printed
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async def test_rebuild_set_embedder_reports_settings_updated(app, client):
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async def one_document(mode):
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yield "doc-1"
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client.rebuild_database = one_document
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await app.rebuild(mode=RebuildMode.SET_EMBEDDER)
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assert "Stored embedder settings updated" in out(app)
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async def test_rebuild_reports_an_empty_database(app, client):
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client.list_documents.return_value = []
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await app.rebuild(mode=RebuildMode.FULL)
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assert "No documents found" in out(app)
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@pytest.mark.parametrize(
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"mode, description",
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[
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(RebuildMode.FULL, "full rebuild"),
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(RebuildMode.RECHUNK, "rechunk"),
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(RebuildMode.EMBED_ONLY, "embed only"),
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(RebuildMode.TITLE_ONLY, "title only"),
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(RebuildMode.DESCRIPTIONS, "picture descriptions"),
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],
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)
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async def test_rebuild_names_the_mode_and_completes(app, client, mode, description):
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client.list_documents.return_value = [_doc()]
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async def one_document(mode):
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yield "doc-1"
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client.rebuild_database = one_document
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await app.rebuild(mode=mode)
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printed = out(app)
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assert description in printed
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assert "rebuild completed successfully" in printed
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async def test_vacuum_confirms(app, client):
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await app.vacuum()
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client.vacuum.assert_awaited_once()
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assert "Vacuum completed successfully" in out(app)
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async def test_create_index_refuses_a_small_table(app, client):
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client.store.chunks_table.count_rows = AsyncMock(return_value=10)
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await app.create_index()
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assert "Need at least 256 chunks" in out(app)
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async def test_create_index_creates_one(app, client):
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client.store.chunks_table.count_rows = AsyncMock(return_value=512)
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client.store.chunks_table.list_indices = AsyncMock(return_value=[])
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await app.create_index()
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client.store._ensure_vector_index.assert_awaited_once()
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assert "Vector index created successfully" in out(app)
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async def test_create_index_rebuilds_an_existing_one(app, client):
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client.store.chunks_table.count_rows = AsyncMock(return_value=512)
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client.store.chunks_table.list_indices = AsyncMock(return_value=["vector_idx"])
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await app.create_index()
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assert "Rebuilding existing vector index" in out(app)
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def test_show_settings_hides_secrets(tmp_path):
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config = AppConfig(lancedb=LanceDBConfig(uri="db://x", api_key="secret-value"))
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app = HaikuRAGApp(db_path=tmp_path / "db", config=config)
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app.console = Console(record=True, width=200)
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app.show_settings()
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printed = app.console.export_text()
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assert "haiku.rag configuration" in printed
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assert "secret-value" not in printed
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def test_remote_uri_is_the_display_path(tmp_path):
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config = AppConfig(lancedb=LanceDBConfig(uri="s3://bucket/path"))
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app = HaikuRAGApp(db_path=tmp_path / "db", config=config)
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assert app._display_path == "s3://bucket/path"
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assert app._is_local is False
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# --- paths that do not open a client -----------------------------------------
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@pytest.fixture
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def store_stub(monkeypatch):
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"""Stub the Store for the paths that use it directly (history, migrate, tags)."""
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store = AsyncMock()
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class StubStore:
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def __init__(self, *args, **kwargs):
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pass
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async def __aenter__(self):
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return store
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async def __aexit__(self, *exc):
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return False
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monkeypatch.setattr("haiku.rag.store.engine.Store", StubStore)
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return store
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async def test_init_reports_an_existing_database(app):
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await app.init()
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assert "Database already exists" in out(app)
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async def test_info_reports_a_missing_path(tmp_path):
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application = HaikuRAGApp(db_path=tmp_path / "gone", config=AppConfig())
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application.console = Console(record=True, width=200)
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await application.info()
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assert "Database path does not exist" in application.console.export_text(
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clear=False
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)
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async def test_history_reports_a_missing_path(tmp_path):
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application = HaikuRAGApp(db_path=tmp_path / "gone", config=AppConfig())
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application.console = Console(record=True, width=200)
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await application.history()
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assert "Database path does not exist" in application.console.export_text(
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clear=False
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)
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async def test_history_rejects_an_unknown_table(app, store_stub):
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await app.history(table="nope")
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assert "Unknown table: nope" in out(app)
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async def test_migrate_returns_what_the_store_applied(app, store_stub):
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store_stub.migrate.return_value = ["v0_40_0"]
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assert await app.migrate() == ["v0_40_0"]
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async def test_list_tags_reports_none(app, monkeypatch):
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store = AsyncMock()
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store.list_tags.return_value = {}
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monkeypatch.setattr(app, "_tag_read_store", lambda: _as_cm(store))
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await app.list_tags()
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assert "No tags" in out(app)
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async def test_list_tags_flags_a_partial_tag(app, monkeypatch):
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from haiku.rag.store.engine import TagInfo
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store = AsyncMock()
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store.list_tags.return_value = {
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"release-1": TagInfo(
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tables={"documents": 3},
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missing_tables=["chunks"],
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)
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}
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monkeypatch.setattr(app, "_tag_read_store", lambda: _as_cm(store))
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await app.list_tags()
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printed = out(app)
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assert "release-1" in printed
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assert "partial" in printed
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assert "chunks" in printed
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async def test_create_and_delete_tag_confirm(app, monkeypatch):
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store = AsyncMock()
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monkeypatch.setattr(app, "_tag_write_store", lambda: _as_cm(store))
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await app.create_tag("release-1")
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await app.delete_tag("release-1")
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printed = out(app)
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assert "Created tag 'release-1'" in printed
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assert "Deleted tag 'release-1'" in printed
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async def test_restore_tag_reports_the_safety_tag(app, monkeypatch):
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store = AsyncMock()
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store.restore_tag.return_value = "before-restore-20260820T000000Z"
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monkeypatch.setattr(app, "_tag_write_store", lambda: _as_cm(store))
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await app.restore_tag("release-1")
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assert "Restored database to tag 'release-1'" in out(app)
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@pytest.mark.parametrize(
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"method, args",
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[
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("create_tag", ("release-1",)),
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("list_tags", ()),
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("delete_tag", ("release-1",)),
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("restore_tag", ("release-1",)),
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],
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)
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async def test_tag_operations_require_the_database(tmp_path, method, args):
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application = HaikuRAGApp(db_path=tmp_path / "gone", config=AppConfig())
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with pytest.raises(ValueError, match="does not exist"):
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await getattr(application, method)(*args)
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async def test_visualize_prints_a_page_per_image(app, client, monkeypatch):
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chunk = Chunk(content="c", order=0)
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chunk.document_uri = "test://doc"
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client.get_chunk_by_id.return_value = chunk
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client.visualize_chunk.return_value = [object(), object()]
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monkeypatch.setattr("textual_image.renderable.Image", lambda img: "<page image>")
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await app.visualize_chunk("c1")
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printed = out(app)
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assert "Visual grounding for chunk c1" in printed
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assert "Page 1/2" in printed
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assert "Page 2/2" in printed
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def test_search_result_rendering_includes_provenance(app):
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result = SearchResult(
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content="hit",
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score=0.5,
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chunk_id="c1",
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document_id="doc-1",
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document_uri="test://doc",
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document_title="The Title",
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page_numbers=[2, 3],
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headings=["Chapter", "Section"],
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)
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app._rich_print_search_result(result)
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printed = out(app)
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assert "The Title" in printed
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assert "2, 3" in printed
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assert "Chapter > Section" in printed
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async def test_run_mcp_stdio(app, client, monkeypatch):
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server = AsyncMock()
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monkeypatch.setattr("haiku.rag.app.create_mcp_server", lambda *a, **kw: server)
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await app.run_mcp(transport="stdio")
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server.run_stdio_async.assert_awaited_once()
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async def test_run_mcp_http(app, client, monkeypatch):
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server = AsyncMock()
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monkeypatch.setattr("haiku.rag.app.create_mcp_server", lambda *a, **kw: server)
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await app.run_mcp(host="0.0.0.0", port=9001)
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server.run_http_async.assert_awaited_once_with(
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transport="streamable-http", host="0.0.0.0", port=9001
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)
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async def test_run_mcp_survives_interruption(app, client, monkeypatch):
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server = AsyncMock()
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server.run_stdio_async.side_effect = KeyboardInterrupt
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monkeypatch.setattr("haiku.rag.app.create_mcp_server", lambda *a, **kw: server)
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await app.run_mcp(transport="stdio")
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def _as_cm(store):
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class _CM:
|
|
async def __aenter__(self):
|
|
return store
|
|
|
|
async def __aexit__(self, *exc):
|
|
return False
|
|
|
|
return _CM()
|
|
|
|
|
|
async def test_doctor_renders_the_report(app, monkeypatch):
|
|
from haiku.rag.doctor import CheckResult, Severity
|
|
|
|
class Report:
|
|
results = [
|
|
CheckResult(name="tables", severity=Severity.OK, message="tables present"),
|
|
CheckResult(
|
|
name="orphans",
|
|
severity=Severity.WARN,
|
|
message="2 orphaned chunks",
|
|
details=["chunk #1", "chunk #2"],
|
|
remediation="run haiku-rag rebuild",
|
|
),
|
|
CheckResult(
|
|
name="provider:ollama",
|
|
severity=Severity.FAIL,
|
|
message="ollama unreachable",
|
|
),
|
|
]
|
|
failed = True
|
|
|
|
def count(self, severity):
|
|
return sum(1 for r in self.results if r.severity is severity)
|
|
|
|
async def report(*args, **kwargs):
|
|
kwargs["on_progress"]("checking tables")
|
|
return Report()
|
|
|
|
monkeypatch.setattr("haiku.rag.doctor.run_doctor", report)
|
|
|
|
failed = await app.doctor()
|
|
|
|
assert failed is True
|
|
printed = out(app)
|
|
assert "tables present" in printed
|
|
assert "2 orphaned chunks" in printed
|
|
assert "chunk #1" in printed
|
|
assert "run haiku-rag rebuild" in printed
|
|
# providers are reported under their own rule
|
|
assert "ollama unreachable" in printed
|
|
assert "1 ok" in printed and "1 warning(s)" in printed and "1 failure(s)" in printed
|
|
|
|
|
|
async def test_doctor_reports_the_duplicates_export(app, monkeypatch, tmp_path):
|
|
class Report:
|
|
results = []
|
|
failed = False
|
|
|
|
def count(self, severity):
|
|
return 0
|
|
|
|
async def report(*args, **kwargs):
|
|
return Report()
|
|
|
|
monkeypatch.setattr("haiku.rag.doctor.run_doctor", report)
|
|
target = tmp_path / "dupes.yaml"
|
|
|
|
assert await app.doctor(duplicates_out=target) is False
|
|
assert f"written to {target}" in out(app)
|
|
|
|
|
|
async def test_doctor_reports_a_missing_database(tmp_path):
|
|
application = HaikuRAGApp(db_path=tmp_path / "gone", config=AppConfig())
|
|
application.console = Console(record=True, width=200)
|
|
|
|
assert await application.doctor() is True
|
|
assert "does not exist" in application.console.export_text(clear=False)
|
|
|
|
|
|
async def test_download_models_reports_each_stage(app, monkeypatch):
|
|
from haiku.rag.client.downloads import DownloadProgress
|
|
|
|
events = [
|
|
DownloadProgress(status="start", model="docling"),
|
|
DownloadProgress(status="done", model="docling"),
|
|
DownloadProgress(status="pulling", model="qwen3-embedding"),
|
|
DownloadProgress(
|
|
status="downloading",
|
|
model="qwen3-embedding",
|
|
digest="sha256:abcdef0123456789",
|
|
total=100,
|
|
completed=50,
|
|
),
|
|
DownloadProgress(
|
|
status="verifying sha256 digest",
|
|
model="qwen3-embedding",
|
|
),
|
|
DownloadProgress(status="done", model="qwen3-embedding"),
|
|
]
|
|
|
|
async def stream(config):
|
|
for event in events:
|
|
yield event
|
|
|
|
monkeypatch.setattr("haiku.rag.client.downloads.download_models", stream)
|
|
|
|
await app.download_models()
|
|
|
|
printed = out(app)
|
|
assert "Downloading docling" in printed
|
|
assert "Pulling qwen3-embedding" in printed
|
|
assert "qwen3-embedding" in printed
|
|
|
|
|
|
async def test_document_content_is_truncated_in_lists(app, client):
|
|
long_doc = _doc("l1\nl2\nl3\nl4\nl5")
|
|
client.list_documents.return_value = [long_doc]
|
|
|
|
await app.list_documents()
|
|
|
|
printed = out(app)
|
|
assert "l1" in printed
|
|
assert "l5" not in printed
|
|
|
|
|
|
def _database_info(vector_index, chunk_rows=300):
|
|
"""A complete DatabaseInfo: info() indexes every required table by name."""
|
|
from haiku.rag.store.info import (
|
|
DatabaseInfo,
|
|
EmbeddingsInfo,
|
|
TableInfo,
|
|
VectorIndexInfo,
|
|
)
|
|
|
|
rows = {"chunks": chunk_rows}
|
|
return DatabaseInfo(
|
|
path="/tmp/db.lancedb",
|
|
exists=True,
|
|
stored_version="0.75.0",
|
|
embeddings=EmbeddingsInfo(provider="ollama", name="m", vector_dim=3),
|
|
tables=[
|
|
TableInfo(
|
|
name=name,
|
|
exists=True,
|
|
num_rows=rows.get(name, 1),
|
|
num_versions=2 if name == "documents" else 3,
|
|
)
|
|
for name in (
|
|
"documents",
|
|
"document_meta",
|
|
"chunks",
|
|
"document_items",
|
|
"settings",
|
|
)
|
|
],
|
|
vector_index=VectorIndexInfo(**vector_index),
|
|
# info() indexes these by name when printing the version block.
|
|
packages={
|
|
"haiku_rag": "0.75.0",
|
|
"lancedb": "0.26.0",
|
|
"docling": "2.102.2",
|
|
"pydantic_ai": "2.18.0",
|
|
"docling_document_schema": "1.7.0",
|
|
},
|
|
)
|
|
|
|
|
|
async def test_info_reports_unindexed_chunks_and_document_meta_versions(
|
|
app, monkeypatch
|
|
):
|
|
"""The index-status branches read from gather_database_info, so drive them
|
|
through a stubbed report rather than building databases."""
|
|
info = _database_info({"exists": True, "indexed_rows": 200, "unindexed_rows": 100})
|
|
|
|
async def stub_info(config, db_path):
|
|
return info
|
|
|
|
# info() imports it inside the method, so patch where it is looked up.
|
|
monkeypatch.setattr("haiku.rag.store.info.gather_database_info", stub_info)
|
|
|
|
await app.info()
|
|
|
|
printed = out(app)
|
|
assert "unindexed chunks" in printed
|
|
assert "100" in printed
|
|
assert "versions (document_meta)" in printed
|
|
|
|
|
|
async def test_info_suggests_creating_an_index_when_there_are_enough_chunks(
|
|
app, monkeypatch
|
|
):
|
|
info = _database_info({"exists": False})
|
|
|
|
async def stub_info(config, db_path):
|
|
return info
|
|
|
|
# info() imports it inside the method, so patch where it is looked up.
|
|
monkeypatch.setattr("haiku.rag.store.info.gather_database_info", stub_info)
|
|
|
|
await app.info()
|
|
|
|
assert "haiku-rag create-index" in out(app)
|
|
|
|
|
|
async def test_doctor_updates_a_terminal_status(app, monkeypatch):
|
|
"""On a terminal the checks report progress through console.status."""
|
|
|
|
class Report:
|
|
results = []
|
|
failed = False
|
|
|
|
def count(self, severity):
|
|
return 0
|
|
|
|
labels: list[str] = []
|
|
|
|
async def report(*args, **kwargs):
|
|
kwargs["on_progress"]("scanning vectors")
|
|
return Report()
|
|
|
|
class Status:
|
|
def __enter__(self):
|
|
return self
|
|
|
|
def __exit__(self, *exc):
|
|
return False
|
|
|
|
def update(self, label):
|
|
labels.append(label)
|
|
|
|
monkeypatch.setattr("haiku.rag.doctor.run_doctor", report)
|
|
monkeypatch.setattr(type(app.console), "is_terminal", property(lambda self: True))
|
|
monkeypatch.setattr(app.console, "status", lambda label: Status())
|
|
|
|
await app.doctor()
|
|
|
|
assert labels == ["scanning vectors..."]
|
|
|
|
|
|
async def test_history_limits_the_versions_shown(app, monkeypatch):
|
|
store = AsyncMock()
|
|
store.list_tags.return_value = {}
|
|
store.list_table_versions.return_value = [
|
|
{"version": v, "timestamp": None} for v in (1, 2, 3)
|
|
]
|
|
|
|
class StubStore:
|
|
def __init__(self, *args, **kwargs):
|
|
pass
|
|
|
|
async def __aenter__(self):
|
|
return store
|
|
|
|
async def __aexit__(self, *exc):
|
|
return False
|
|
|
|
monkeypatch.setattr("haiku.rag.store.engine.Store", StubStore)
|
|
|
|
await app.history(table="documents", limit=1)
|
|
|
|
printed = out(app)
|
|
assert "v3" in printed
|
|
assert "v1" not in printed
|
|
|
|
|
|
async def test_analyze_prints_citation_renderables(app, client, monkeypatch):
|
|
result = AsyncMock()
|
|
result.answer = "computed"
|
|
result.citations = ["c1"]
|
|
client.analyze.return_value = result
|
|
|
|
async def one_citation(citations, client=None):
|
|
return ["citation renderable"]
|
|
|
|
monkeypatch.setattr("haiku.rag.app.format_citations_rich", one_citation)
|
|
|
|
await app.analyze("how many?")
|
|
|
|
assert "citation renderable" in out(app)
|