The CLI reports this error, and importing it from the settings repository
pulled lancedb onto the CLI's import path. Deferring the import into cli()
bought nothing, since cli() runs on every invocation: it cost about 1.9
seconds on a cold start, `--help` included.
It now sits beside the other store exceptions, in a module that imports
nothing, and every importer points there.
engine.py held four unrelated things: what the tables are, how to open a
connection, how to read a database's state, and the Store that coordinates
writes. At 1240 lines the Store's own concerns — locks, migrations, vacuum,
tags — were hard to find among them.
Table records, Arrow schemas, index_specs, ensure_indexes, REQUIRED_TABLES
and query_to_pydantic move to store/schema.py, which imports nothing from
haiku.rag: it describes the tables and never opens or mutates one.
gather_database_info, get_database_stats, DatabaseInfo and its result models
move to store/info.py. Nothing in Store calls them — they are read paths for
the CLI, doctor, inspector and ingester API — so info depends on engine and
not the reverse.
engine.py keeps the Store, ConnectionMode, connect_lancedb, the tag helpers
and the restore-order and retention constants. No re-exports: importers
point at the new modules.
test_app_info_uses_connect_lancedb_for_remote patched
haiku.rag.store.engine.connect_lancedb; gather_database_info now binds that
name in info.py, so the patch targets where the call is looked up.
haiku.rag.config exported two configuration instances: the lazy _config
behind get_config/set_config, and Config, loaded at import time. Nothing
linked them, and eleven signatures captured Config as a default argument,
so set_config could not reach the factories, the client, the store or the
MCP server. reranking/base.py went further and snapshotted the configured
reranker name into a class attribute at import.
Config is removed. Internal defaults are config: AppConfig | None = None,
resolved through get_config() per call. RerankerBase._model is None and
CohereReranker takes its model name as an argument, like every other
reranker.
The suite patched attributes on Config while production read the instance
get_config() returns, a different object, so those patches were no-ops
waiting to happen. They now go through get_config().
FULL rebuild deleted a document before re-ingesting it from its URI, and
the handler around that logged and continued. A 404, a timeout or any
conversion error therefore removed the document permanently.
Deleting after a successful create is not an alternative:
create_document_from_source resolves the same URI to the existing
document and updates it in place, so a trailing delete would remove the
freshly rebuilt row.
Refresh in place instead. create_document_from_source takes an internal
force flag that skips the revision and MD5 short-circuits, so an
unchanged source is still re-converted, re-chunked and re-embedded into
the existing document, and the document id survives a rebuild.
A failed refresh now falls through to the stored-content path rather
than skipping the document: FULL recreates the chunks table before the
loop, so skipping left the document present but unsearchable until the
next rebuild.
The pending-batch flush moves out of the try. A failed flush is a lost
write and should abort the rebuild, not be logged and skipped.
check_source_accessible narrowed its handler to ValueError, but Path.exists
re-raises errno values outside its ignored set (EACCES, ENAMETOOLONG). Those
were swallowed before and now escaped into the rebuild sweep the guard exists
to protect. Catch OSError too.
Restore the arity guard in _common_path_prefix: without it an empty list
raises from min() and a single label yields a prefix covering the whole path.
Two tests would have hung rather than failed on regression (the vacuum skip
and the protected-wait cancellation); both are now bounded. The import
vacuum test raced against the done-callback that discards the task, and now
spies on the call instead, with a negative control.
Replace assertions that could not fail: blank-query search against an empty
corpus, a batch flush counted against an empty table, a picture description
asserting its own input state, and an FS scheme check with nothing on disk to
resolve. The get_model matrix asserted only the returned type across 26
cases and now pins the per-provider settings. The three batching tests now
count flushes, which revealed embed-only writes through chunks_table.add
rather than _flush_rebuild_batch.
Add tests for the vacuum-failure warning, documents deleted mid-rebuild,
chunkless documents, batch flushes in the embed-only, descriptions and full
paths, a missing docling blob under rechunk, missing and recoverable picture
bytes, and the source-missing fallback. Direct-call tests cover the staging
helpers and the idempotent phase-1 marker.
Parametrize sibling tests that differed only in a literal value, and fold
two strict-subset tests into the survivors that already covered their
scenario. Every case that ran before still runs; the union of assertions
is applied to each case, strengthening list_all, get_pages_data and
resolve_doc_items.
Replace four hand-rolled log-capture handlers with a shared
capture_logs() contextmanager in conftest.
13 fewer test functions, 348 fewer lines.
Convert all LanceDB operations from sync calls wrapped in async
functions to the native async API (connect_async, AsyncConnection,
AsyncTable, AsyncQuery). Database I/O no longer blocks the event loop.
- Store and HaikuRAG use async context managers (async with). Store
initialization is deferred to __aenter__; direct construction
without async with is no longer supported.
- Index creation uses config objects (FTS, BTree, IvfPq) instead of
string-based index_type parameter.
- Upgrade callbacks are async.
- HaikuRAG tracks background vacuum tasks and awaits them in __aexit__
and before destructive rebuild operations to avoid races with
concurrent table mutations.
- temp_db_path fixture uses pytest's tmp_path for reliable async
cleanup.
When a database was created with one embedding model and rebuild
--embed-only was run with a different model, it failed with a
vector dimension validation error.
- Store reads stored vector_dim when opening existing databases
- _rebuild_embed_only recreates chunks table to handle dimension changes
- Add test for rebuild with changed vector dimensions
