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.
Chunk 2 gave search a configured set to fan out over. ask and analyze
covered one database still: the RAG capability had no way to be told which
databases a question spanned, and the analysis sandbox mounted one
document tree.
The selection travels as sources on EvidenceState, beside the filter it
scopes with, so both capabilities read it the same way. clients_covering
is the one rule that turns a selection into clients, used by search, the
sandbox mount and the cite fallback, so a question scoped to some
databases cannot search, mount or cite another. Citations carry the
database they came from, and format_for_agent names it, so the model can
attribute evidence while it answers rather than only afterwards.
The sandbox keeps one flat /documents/{id}/ namespace and resolves each id
to the client holding it, which rests on ids being UUID4. A database
copied from another breaks that, so an id held twice is refused rather
than resolved to whichever arrived last.
On the CLI, search, ask and analyze cover the configured set and label
each result with its database. Every other command works on one, named
with --database NAME (a name reaches a database behind a URI, which --db
cannot) or --db PATH, and refuses a set it cannot choose from instead of
silently reading the default database. Cold databases open together, so a
first query costs the slowest open rather than their sum.
`ask(sources=[…])` scopes a question to some of the configured databases, carried
on the capability state so its search tool searches those. `Citation.source` names
the database a cited chunk came from, resolved from the search results the model
saw, which already carry it.
Context expansion routes each result through the database it came from: a
federating client has no repositories of its own.
The cite fallback, which looks up an id absent from this run's results, searches
only the selected databases. A chunk id says nothing about which database holds
it, so placing one means asking, and asking outside the selection would let a
question scoped to some databases cite another.
The loosely-specced client mocks in the capability tests now say they stand in for
a single-database client. A bare AsyncMock answers any attribute with a truthy
Mock, so `_federated` sent the fallback down the multi-database branch, and
`_source` reached a validated field.
`lancedb.databases` maps a name to a location, mutually exclusive with `uri`.
`search(sources=[…])` selects which to search, `sources=None` searches all of them
and `sources=[]` searches none; `SearchResult.source` carries the configured name,
so a path or URI never leaves the configuration. A database named in config keeps
its name even when it is the only one configured; only a legacy single `uri`
leaves `source` unset.
Databases open on first use, not at entry. Which are searched is a per-query
choice, so a set of 25 queried a few at a time opens a few, and a database nobody
asked for can neither fail a query nor be opened for nothing.
A named database that fails to open raises `SourceUnavailableError` naming it,
raised outside the handler so the original is not attached at all. A local failure
spells out the absolute path and an object-store failure can carry the bucket;
`from None` would only stop that being printed, leaving it on `__context__` for
anything that walks the chain. A legacy `uri` client has no name to report
instead, so its error passes through unchanged.
Candidates are fetched concurrently, then fused before anything is ranked. A
configured reranker scores the union, which is what makes ranking across
databases tractable: it compares query against document and does not care where a
candidate came from. Without one, reciprocal rank fusion over the per-database
rankings, since scores from separate indexes are not comparable. Enrichment then
runs on the survivors through the database each came from, concurrently, so it
costs what a single-database search costs.
The over-fetch decision and the reranker belong to the federating client alone.
Deciding per database would have each consult its own, and a local reranker loads
model weights per instance. It is built only for a text query, and closed once by
the client that owns it.
A location without a scheme is opened as a local path rather than through
`lancedb.uri`. Routing it through `uri` had `ConnectionMode` classify it as object
storage, which opens a missing database instead of reporting it.
With several databases configured, `store` and the repositories are left unset:
they have no unambiguous meaning across a set, and picking one silently would be
worse than the error.
`search` fetched, reranked and truncated in one pass, with the reranker's
over-fetch and the reranking itself interleaved in the same branch. Searching
several databases needs to fuse their candidates before anything is ranked, so
the phases have to be separable.
`_fetch` returns one database's candidates, over-fetching only when a reranker
will re-order them. `_rank` orders and cuts them, leaving an image query's vector
ranking alone since there is no text for a reranker to score against. The
over-fetch multiplier is named rather than a literal 10 at the point of use.
Both check the query type before reading `client.reranker`, which is a
cached_property that builds the reranker on first access and loads model weights
for a local one. An image query never used it and must not start.
No behaviour change: the same suite passes, and the search outputs digest
identically to before.
The documented `HaikuRAG("knowledge.lancedb")` and `rag(db_path="my.lancedb")`
forms both raised `AttributeError: 'str' object has no attribute 'exists'`.
`Store.__init__` assigned its argument to a `Path`-annotated attribute without
coercing, and `resolve_db_path` returned a non-None argument unchanged. Every
runnable example wraps the path in `Path(...)`, which is why it survived.
Coerce in `Store.__init__` and `resolve_db_path`; widen the annotations on
`Store`, `HaikuRAG` and both `create_capability` factories to accept `str`.
urlparse().path keeps the leading slash in front of a Windows drive, so
file:///C:/docs/a.pdf read as \C:\docs\a.pdf and the ingester reported
"File does not exist" for every file it discovered. url2pathname is the
stdlib conversion that strips it, per platform.
Four sites each decided both "is this local" and "what path is this":
FSSource._uri_to_path and supports, resolve_adhoc_fetcher,
create_document_from_source and check_source_accessible, and convert.
is_local_uri and uri_to_path in haiku.rag.uri own those two decisions now,
which closes two more cases of the same root cause. A bare C:\docs\a.pdf
parses with scheme "c", so add-src raised "No source adapter for URI scheme
'c'" and convert silently treated the path as raw text. And convert and
check_source_accessible never percent-decoded at all, so a file named
a[b] c.md read as missing on Linux and macOS too.
A file URI's host is reattached after conversion rather than passed to
url2pathname, which as of 3.14 rejects a non-local authority off Windows.
file:////server/share is the empty-authority spelling of a UNC path, its
host being the first path segment, so that host is normalised into the
authority before conversion. Output is identical on 3.12, 3.13 and 3.14.
The ad-hoc FS fetcher roots at the path's own anchor rather than "/", which
on Windows is only the current drive.
test_uri.py runs on ubuntu, macos and windows across 3.13 and 3.14 without
the project installed: --noconftest because the repo conftest imports
dependencies that job does not need, and -o addopts= to drop the
repository's -n auto. The Windows legs are what cover the drive conversion.
Fixes#574.
Sixty-three comments said what the next statement already said: # Connect to
LanceDB above connect_lancedb, # Path object above isinstance(source, Path),
# Get page numbers from provenance above the prov loop, # Clear and populate
results above list_view.clear(). They cost a read and carry nothing.
The line is whether a comment restates one statement or labels a phase. Phase
labels stay: the migrations keep # Create staging table with new schema and
# Copy from staging to final table in batches, each heading ten lines of a
long procedure. So do comments carrying a fact the code cannot: the
merge_insert update-only note on document_meta, why the poller builds sources
eagerly, why create_document_from_source returns a list for directories, that
indexes need training data, the field-group markers in the config models, and
the file:// URL-encoding note in create_document_from_source.
capabilities/ is untouched. Its docstrings sit next to prompt surface, and
changing them needs an eval to back it.
The cassette-recording docs were wrong three ways. They named
tests/test_qa.py::test_qa_anthropic, which no longer exists; they targeted
whole modules, so a rewrite would re-record cassettes for services the
recorder is not running; and they used COHERE_API_KEY where the SDK reads
CO_API_KEY. docs/development.md now names exact tests with -n0, and the keyed
example is test_cohere_reranker, which owns the one cassette recording
api.cohere.com.
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.ingester.sources was never ingester-only: one-shot client
ingestion resolves adapters through it (create_document_from_source), and
convert() now fetches through HTTPSource, so the core client imported into
the ingester package to reach them.
Move the package to haiku.rag.sources and update every import. No shims:
haiku.rag.ingester.sources is gone.
The haiku.rag.sources plugin entry-point group is unchanged, so third-party
source packages need no edit — the group name now matches the module path it
always implied.
Source unit tests move to tests/sources/. test_source_plugins.py stays in
tests/ingester/: it drives a PeriodicPoller against the job repo, so it is
plugin wiring through ingester machinery rather than a source test.
Five call sites repeated the same post-conversion preparation: store the
Docling representation and resolve a title when none was supplied.
_prepare_and_title now owns that sequence. update_document continues to
call _prepare_document_from_docling directly because an explicit update
must preserve an existing empty title.
create_document, both content-replacement branches of update_document,
and source ingestion embedded eagerly before passing chunks to a
persistence funnel that checked them again. The funnels now own
embedding, including the checks required by import_document and
import_documents for caller-supplied chunks.
Move the document.embed span into ensure_chunks_embedded after its early
return. Every path that performs embedding is now instrumented, while
operations whose chunks are already embedded emit no span.
convert() previously used its own HTTP client and temporary-file path.
Route URL conversion through HTTPSource, matching source ingestion, and
move _write_fetch_body to processing.py so both paths share temporary
file handling without an import cycle.
Add walk_files for filesystem enumeration and use it from both
FSSource.discover and one-shot directory ingestion. Symlink escape
filtering now has one implementation.
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().
Four call sites repeated lock, snapshot, try/except, restore. Each used
restore_table_versions, which restores in _tables() order — documents
first, contradicting RESTORE_TABLE_ORDER — and each caught Exception, so
a cancellation mid-write skipped rollback and left the earlier table
writes committed.
Store.write_transaction() holds the lock, snapshots under it, and rolls
back through _rollback_to_snapshot: RESTORE_TABLE_ORDER, shielded from
cancellation, absorbed cancellation re-delivered, rollback failure raised
with the original as cause. The two single-table update_meta sites keep
the bare lock.
The batch documents write moves inside the guarded body; it was outside
the try, so a failure there was never rolled back. Auto-vacuum is
scheduled after the transaction rather than inside it.
restore_table_versions is removed; those four sites were its only callers.
create_document_from_source resolves a fetcher per call and never closed
it, so every one-shot URL or WebDAV ingest leaked an httpx connection
pool. Close it, but only when we built it: resolve_adhoc_fetcher returns
a caller-supplied source when one matches the URI, and the ingester keeps
those open across jobs.
Directory ingestion also yielded symlinked files resolving outside the
directory it was given. rglob does not recurse into symlinked
directories, so a symlinked file was the only way out of the tree; skip
those, as FSSource.discover already does.
The chunk repository docstring named client._ensure_chunks_embedded,
which does not exist.
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.
Collapsing the caption text into `get_pictures_grouped` served the enrichment
path, which uses it, but the multimodal reranker discards the second return value
while still paying to read the column. That is the widest fan-out in the codebase,
`limit * 10` candidates, and it previously projected self_ref and picture_data
alone.
`with_text` is opt-in and off by default, so the cheap projection is what a caller
gets unless it asks for more. The reranker test asserts the projection as well as
the query count, since a count alone would not notice the column coming back.
Splitting the assembly into a passthrough pass and an expandable pass reordered
equal-scored results: the score sort that follows is stable, so the order results
arrive in is the tiebreak. Results are assembled in document_groups order again,
after the batched fetch rather than around it.
Also ports the caption negative cases the removed single-document test carried: a
table's caption and an ordinary text reference map to no picture.
`_attach_picture_data` fetched picture bytes once per document, over the
`limit * 10` candidates reranking asks for, so it was the per-document fetch with
the most candidates behind it. It now issues one query however many documents the
candidates span: one for ten documents, as for one.
Removes `get_text_for_refs`, whose only caller now gets the text back with the
bytes from `get_pictures_grouped`.
`test_client_search_include_images_false_skips_lookup` returned no search
results, so asserting the picture accessor went uncalled held whatever the code
did. It now returns a picture-carrying result, making "did not fetch" the
assertion rather than "had nothing to fetch".
`expand_with_items` fetched its own inputs per document: one query to resolve
refs to positions, one for the window of items around them. A result set spanning
N documents cost 2N queries, which was 10 of the 18 measured for a limit=5 search
on a remote object-store corpus.
`expand_context` now does both fetches once for every document it is expanding,
and `expand_with_items` takes the positions and items it needs. Two queries for
one document, and two for five.
Each document keeps its own inclusive window in `get_items_in_ranges`. Positions
repeat across documents, so a shared range would splice one document's items into
another's context.
`_populate_image_data` ran its stages once per result document, so a result set
spanning N documents cost 4N `document_items` queries. Measured on a remote
object-store corpus, a limit=5 search with expansion was 18 queries, 16 of them
against `document_items`.
The stages now run once each across every document, and flat in document count:
two queries for the dependent caption-to-picture mapping when results ranked on a
caption, one for the picture bytes. Two queries for a picture-ref result set,
three at most.
Picture text comes back with the bytes rather than from a second query, since it
is on the same rows.
Predicates are per document, `(document_id = 'a' AND self_ref IN (…)) OR (…)`,
rather than `self_ref IN (union)`. self_ref and position values repeat across
documents, so a union predicate would return other documents' rows: for
picture_data that fetches blobs nobody asked for, and it can hand one document
another document's picture.
`client.ask` and `client.analyze` built their capability from a db_path, so the
capability opened a second connection to the database the client already had
open, once per call.
Ownership is now explicit rather than inferred. `rag` stays the connection the
capability opened and must close; `borrowed_rag` is a caller's, which
`_ensure_rag` prefers and `_close` never touches. Two fields rather than a flag,
so closing a borrowed connection is not expressible.
`for_run` still clears `rag` per run, since a run owns what it opens. It leaves
`borrowed_rag` alone: that connection belongs to the caller and outlives the run.
_store_documents_with_chunks embedded each document's chunks in its own
embed_chunks call; chunks missing embeddings are now flattened across the
whole batch, embedded in one pass honoring embeddings.batch_size, and
assigned back positionally.
Drop the coverage-gate CHANGELOG entry: it is dev infrastructure, invisible
to anyone upgrading. Broaden the check_source_accessible entry to the cases
it now covers.
The nameless-attachment guard reads an empty /F out of untrusted PDF bytes,
so it is boundary validation, not a formality; only the reason it goes
uncovered belongs in the pragma.
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.
Cover the remaining paths in the client, context, downloads, title
generation, document tools and store models, and add fail_under=100 so
uncovered lines fail CI.
Six lines that no test can reach get a pragma with its reason: the docling
import guard, the nameless PDF attachment, the FS symlink OSError guard that
resolve(strict=False) absorbs, the docling bbox and LanceDB document-id
shape guards, the tag-retention branch vacuum makes unreachable, and Monty's
Rust-thread print callback.
Fix test_find_config_file_user_config, which wrote its config into the cwd it
had chdir'd to, so the cwd branch answered first and the user-directory
lookup it names was never exercised.
Delete repository methods with no callers (SettingsRepository CRUD,
ChunkRepository.update/delete/get_chunks_in_range), the DataFrame branch of
_process_search_results whose only caller always passes a query, and guards
that cannot be reached from their call sites: the rebuild mode=None default,
the staging drop already performed by _resolve_rebuild_recovery, the empty
batch skip, two context fast paths, the doctor prefix guard, the poller
_task attribute that is never assigned, and a docling caption fallback for
a field name no item class defines.
set_haiku_version built a recreated settings row from the process-global
Config rather than the store's own, so a store opened with a custom config
stamped global settings into the database.
check_source_accessible called urlparse outside its try block, so a stored
URI with a malformed IPv6 host raised ValueError instead of reporting the
source as inaccessible, aborting the whole rebuild sweep.
reranking.multimodal (vllm provider only) attaches picture bytes to
synthetic picture chunks before rerank; VLLMReranker sends them as
content-parts documents (base64 data URI + description text) in the
same /v1/rerank request as plain text documents.
visualize_chunk re-expanded chunks from scratch to recover their refs,
which could not faithfully reproduce the original merge, scores, and
clip — so a visualization could highlight different pages than the
citation covered. Carry the cited items on Citation.doc_item_refs and
resolve bounding boxes from them directly; re-expansion remains only as
the fallback for callers with no stored context (CLI, inspector). Chat,
inspector, the app endpoint, and the frontend pass the refs through.
