Round-7 claude-review (no blockers):
- 🟡 query_token_count/query_embedding were class-level defaults on
SearchAlgorithm, relying on each subclass's __init__ to shadow them. Added
SearchAlgorithm.__init__ that sets both as instance attributes and had
BM25HybridSearchAlgorithm + SemanticSearchAlgorithm call super().__init__(),
so per-request concurrency isolation is structural, not by convention.
- 🟡 Documented the v1 search-path billing gap: record_search_usage fires only
on a fully successful search, so if the query embed succeeded (provider billed
+ Prometheus recorded) but a later step (Qdrant/verify) raised, no
tokens_embedded billing row is written. Added a NOTE at the call site.
Left as-is (reasons in PR reply): deployment sequencing (CP METRIC_EVENT_NAMES
already renamed; pipeline inert); Ollama _detect_dimension double dimension-set
(idempotent, same value); SonarQube issues — 1 is the deliberate TODO(#282)
(INFO), 4 are S7503 false positives on async test stubs that must be awaitable
(gate green).
Deck #284.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Billing product model finalized (Deck #281): bill pages externally, record
tokens internally. Rename the data-plane metric literals to match the now-
canonical contract (Deck #284) — the control plane's METRIC_EVENT_NAMES is
already renamed, so the old names would be unmapped and never sync to Stripe.
Rename (values unchanged):
- embeddings_queries → tokens_embedded (value = real token count, already
emitted by this PR; the unit upstream providers bill on).
- pages_chunks → pages_embedded (value kept as len(chunk_texts) interim;
TODO(#282): real normalized "pages indexed" count — real pages for paginated
types, chars/tokens-per-page constant otherwise — is deferred to the
instrumentation card, this only lands the name/contract).
- All literals, log strings, docstrings, comments, the migration comment, and
tests renamed; grep confirms zero old strings remain.
Observability (new): export embedding token cost to Prometheus as
astrolabe_embedding_tokens_total{provider,operation} (operation = index|query)
so the billed cost unit is visible in Grafana, not just the per-tenant billing
DB. Dedicated counter (doesn't inflate the existing chunk/request metrics) and
always-on (independent of USAGE_METERING_ENABLED, so OSS/self-host gets it).
Wired on both the indexing batch embed and the search query embed (query inside
the per-request cache-miss branch, so reused embeddings aren't double-counted).
Note: the rename orphans any pre-existing embeddings_queries/pages_chunks rows
in tenant app DBs (CP no longer maps them) — acceptable; pipeline is inert with
throwaway dev/sandbox data.
Deck #284 (folded into PR #875).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Round-5 claude-review (merge-ready; all nits):
- 🟡 Added test_empty_doc_types_normalizes_to_null pinning doc_types=[] → None
in record_search_usage metadata (matches the None case).
- 🟡 record_search_usage docstring now notes nc_semantic_search_answer always
meters with doc_types=None (it exposes no doc_types parameter).
- 🟢 BM25HybridSearchAlgorithm.__init__ now sets query_embedding /
query_token_count alongside _embedded_query, so all three cache fields are
instance attributes from construction (was relying on the class-level
SearchAlgorithm defaults).
- 🟢 Ollama embed_batch_with_usage caches _dimension inline (mirrors
OpenAI/Mistral), so the dimension is set via any embed path.
- 🟢 record_indexing_usage documents the independent-record / partial-failure
semantics under SUM aggregation.
Deck #67.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Round-1 claude-review findings:
- 🔴 Multi-doc_type search billed N embedding calls as 1. nc_semantic_search
loops search() once per doc_type on one BM25HybridSearchAlgorithm instance,
and each call re-embedded the query, so only the last query_token_count was
recorded. Cache the dense embedding per query on the (per-request) instance
so the query is embedded — and metered — exactly once regardless of how many
doc_types are searched. This also removes the redundant per-type embed work
and avoids billing a user N× for one logical query.
- 🟡 Ollama embed() now delegates to embed_with_usage() so single and batch
embeds use the same /api/embed endpoint (was the legacy /api/embeddings),
keeping _detect_dimension and other embed() callers consistent.
- 🟢 round() instead of truncating int() when coercing provider-reported token
counts (forward-compatible if a provider ever returns a float).
Tests: per-instance query-embedding cache (embedded once across 3 doc_types;
re-embeds on a different query).
Deferred (stated on the PR): mistral/openai single-embed dual path (changes
tested error/request semantics on the cloud-critical path — separate refactor),
bedrock boto3 sync-in-async (pre-existing; no new invoke_model calls per doc).
Deck #67.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
embeddings_queries now records the embedding request's token count (the unit
upstream providers bill on) instead of an operation count, and fires on the
indexing path too. Previously only semantic search recorded it (value=1), so a
re-indexing run produced no embeddings_queries events at all — only pages_chunks.
- Provider layer: additive embed_with_usage / embed_batch_with_usage surface the
per-request token count (Mistral/OpenAI usage.total_tokens, Bedrock Titan
inputTextTokenCount, Ollama prompt_eval_count); a char-based estimate is the
fallback (Simple, and any provider/response without a token field). Gateway and
EmbeddingService forward through. The count travels as a return value / a
per-request SearchAlgorithm attribute — never on the singleton — so concurrent
indexing + search can't mis-attribute bills.
- Indexing (vector/processor.py): records embeddings_queries (value=batch tokens)
alongside the existing pages_chunks event.
- Search (server/semantic.py): value is now the query embedding's token count,
relayed from BM25HybridSearchAlgorithm via query_token_count.
The astrolabe_embeddings_queries Stripe meter (sum aggregation) now sums tokens
with no CP/Terraform change. The meter "queries"->tokens naming/unit
clarification (homelab-terraform #254) + CP rollup/portal copy is a follow-up.
Deck #67.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The Starlette lifespan started `vector_sync_metrics_task` with undefined
names `task_producer` and `receive_stream`. Those locals only exist inside
the `_wire_vector_sync_state` helper; in the lifespan the transport is bound
as `ingest_transport`. The undefined reference raised `NameError`, which
aborted the background-sync task group and crashed startup in every
deployment mode ("Application startup failed. Exiting.").
Introduced by fbe70ecd ("feat: backend-agnostic vector-sync gauges").
Pass `ingest_transport.producer` / `ingest_transport.receive_stream` at both
call sites (single-user app.py:1791, OAuth/login-flow app.py:2012).
Also fix 10 pre-existing `ty` possibly-missing-attribute diagnostics: the
deck indexing code in scanner.py, processor.py and search/context.py reads
full-DeckCard-only fields (description, type, owner, etag, lastModified) off
`stack.cards`, typed `list[DeckCard | DeckCardSummary]`. Freshly-fetched
stacks from `get_stacks()` always hold full DeckCards (the summary
projection only happens in the tool layer), so narrow with
`cast(list[DeckCard], ...)` — matching the existing pattern in
server/deck.py.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
A file shared across many users — directly, or via a group folder shared
to a group — was parsed and embedded once per user. Chunk point IDs are
user-agnostic (uuid5(tenant_id, doc_id=fileid, chunk_index)), but the
per-user freshness gate filtered Qdrant by user_id, so two readers
ping-ponged: each overwrote the other's points and each kept seeing "not
indexed for me", reprocessing every scan. Production telemetry (note
386945, finding #5) measured identical docs re-processed every few hours
at 7-13s each, with PDF parse ~62% of per-doc cost.
Layer 1 — tenant-wide dedup:
- Thread the scanner's tag-REPORT etag into the file DocumentTask and the
chunk payload; index `etag` as a KEYWORD field.
- vector/sharing_state.find_indexed_content scrolls tenant-wide (no
user_id filter) for a non-placeholder point matching
(doc_id, doc_type, etag), gated on embedding_identity in Python so a
model switch correctly forces a re-embed.
- Scanner skips enqueue and the processor skips fetch/parse/embed when a
match exists (cross-worker race-guard before WebDAV read). Dedup is
fail-safe: a Qdrant error degrades to "process normally".
Layer 2 — observed-access ACL (no admin / GroupFolders API needed):
- Each point carries `acl_principals` = the set of user:<uid> whose
scanner has observed (hence can read) the file. The per-user tag REPORT
is the access oracle; group membership/GroupFolders enumeration is
admin-only and unavailable in multi-user modes.
- build_ownership_filter ORs MatchAny(acl_principals, ["user:<me>"]) so a
deduplicated shared/group-folder point surfaces to every reader;
verify-on-read (_verify_files) remains the precise ACL gate.
- Deletion/eviction become "release one user": drop the principal and
delete the points only when the set empties, so one user untagging a
shared file doesn't evict it for the others. Legacy points without the
field keep the original per-user delete.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Round 3 review follow-ups:
- Enforce the folder cap (MAX_PATH_PREFIXES=20) inside normalize_path_prefixes
so the REST/viz endpoints are bounded too, not just the MCP tool's Field
and the PHP client. Single server-side enforcement point; the MCP tool's
Field(max_length=...) now references the same constant.
- Widen the SearchAlgorithm ABC and both concrete implementations'
path_prefixes param to Iterable[str] | None, matching the widening of
build_base_filter_conditions from the prior round.
- Add a normalize_path_prefixes cap test.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Round 2 review follow-ups:
- Add Field(max_length=20) to the nc_semantic_search path_prefixes param so
an LLM client can't build an unbounded OR-filter (mirrors the cap the
Astrolabe PHP controller applies on the UI path).
- Note in normalize_path_prefixes that the two-pass collect-then-strip is
deliberate (the `if path_prefix:` guard is truthy for whitespace-only
input; the strip pass is what drops it).
- Tests: exercise build_base_filter_conditions with 3 folders (guards the
list comprehension) and parametrize the no-path case over None, empty
list, and blank-only inputs.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- visualization.py: drop the CSV string-split branch. The Astrolabe PHP
client sends path_prefixes as a JSON array, so only a list is accepted;
any other shape is ignored rather than comma-split (which would corrupt
folder names containing commas).
- viz_routes.py: split the path_prefixes query param on newline (a comma
is a valid POSIX path char; a newline is not) and pass None instead of
[""] when the param is absent.
- access_filter.py: widen build_base_filter_conditions' path_prefixes to
Iterable[str] for consistency with normalize_path_prefixes.
- ADR-027: document the newline delimiter (frontend/viz route) and JSON
array (PHP->MCP body), and the PHP-side cap on list width.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Extend the ADR-027 Phase 2 path filter from a single path_prefix to a
list of folders. The new normalize_path_prefixes() helper is the single
source of truth for trimming, dropping blanks, and de-duplicating, and
folds the legacy single path_prefix into the list for backward
compatibility.
build_base_filter_conditions() adds one MatchText to the must clause for
a single folder (unchanged shape) and OR-s multiple folders via a nested
Filter(should=[...]) so a file under any selected folder matches while
still AND-ing against the ACL/doc_type/date conditions.
path_prefixes is threaded through every search surface: the
nc_semantic_search MCP tool, the visualization API (JSON body), and the
viz route (CSV query param). The Astrolabe frontend folder picker that
produces these lists ships in a companion astrolabe PR.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a path_prefix filter to semantic search, honoured on both the MCP tool and
the dense-only visualization/API paths through the shared filter contract.
- build_base_filter_conditions: append FieldCondition(file_path,
MatchText(path_prefix)) when set. file_path is only on doc_type == "file"
points, so a non-empty path_prefix implicitly restricts to files.
- Promote path_prefix to an explicit keyword param on the SearchAlgorithm ABC
and both algorithms; thread it through nc_semantic_search (blank ⇒ no filter),
the /api/v1 search endpoints, and the viz route.
- Add a file_path TEXT payload index to _PAYLOAD_INDEX_FIELDS (no content
re-index; idempotent startup migration). MatchText tokenizes on server Qdrant
and matches by substring on local/embedded qdrant-client — both serve folder
scoping.
- Update ADR-027 (Phase 2 implemented; readiness table; semantics note). Tests.
Refs ADR-027 Phase 2. Deck #177.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add a modified_after/modified_before date-range filter to semantic search,
honoured on both the MCP tool path (BM25HybridSearchAlgorithm) and the
dense-only visualization/API path (SemanticSearchAlgorithm) through one shared
contract.
- Promote modified_after/modified_before to explicit keyword params on the
SearchAlgorithm ABC and both concrete algorithms; factor the shared
placeholder+ownership+doc_type+date filter into
access_filter.build_base_filter_conditions so new filters land in one place.
- nc_semantic_search: accept RFC 3339 / ISO 8601 (or Unix seconds) bounds via
utils.validation.parse_modified_timestamp; Annotated/Field constraints on the
numeric args; explicit McpError guard for after > before. Thread the parsed
bounds through the cross-app and per-doc_type dispatch.
- /api/v1 search endpoints + viz route parse the same formats and 400 on bad or
inverted ranges.
- Add a modified_at INTEGER payload index to _PAYLOAD_INDEX_FIELDS; the
idempotent _ensure_payload_indexes() startup path migrates existing
collections with no content re-index.
- Update ADR-027 to resolve the review feedback (validation placement, shared
algorithm contract, deferral of nc_semantic_search_answer, payload index,
RFC-3339-at-the-boundary rationale). Add unit tests.
Refs ADR-027. Deck #177.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address the two important findings from the claude bot's latest re-review:
- _verify_files: skip get_excluded_file_paths entirely when the tag REPORT
returns no files. An empty `tagged` yields an empty `tagged_ids` regardless
of exclusions, so the lookup's 2xlen(EXCLUDED_TAGS) WebDAV fan-out is wasted
work in the common "this tag matched nothing" case. The per-result loop still
runs, so malformed doc_ids are still kept (fail-open) — pinned by a new test
(test_verify_files_empty_tag_set_skips_exclusion_lookup), which also asserts
the exclusion lookup is never awaited.
- Rewrite the semaphore comment: it claimed "the slot bounds them", but the slot
only caps concurrent *searches* — get_excluded_file_paths internally spawns a
task group issuing 2xlen(EXCLUDED_TAGS) concurrent WebDAV calls, so live
Nextcloud connections can exceed VERIFICATION_CONCURRENCY. Comment now says so
and points at configuration.md.
The third 🟡 (sequential dir expansion in find_files_by_tag) is pre-existing and
flagged by the reviewer as a follow-up, not part of this PR.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Resolve the latest PR-review comment on the verify-on-read tag-gate work:
- tests: stringify note IDs in test_verify_on_read.py so SearchResult.id
matches production (scanner stringifies all IDs on write) — helper and the
keeps/deleted/mixed/dedupe assertions (blocking).
- tests: make the unshared-file negative control a PDF so the drop is
unambiguously "unshared", not a mime_type_filter mismatch.
- config: add Validator("VECTOR_SYNC_PDF_TAG", len_min=1) — an empty tag name
would make find_files_by_tag("") misbehave in the verifier and scanner.
- verification: correct the _verify_files comment — two batch fetches (tag
REPORT + EXCLUDED_TAGS lookup) are held under one semaphore slot; the
pure-Python intersection runs outside it.
- tests: de-duplicate the minimal-PDF constant into a shared PDF_BYTES in
tests/integration/conftest.py, imported by both integration modules.
Verified: ruff/format/ty/unit all green; the two integration modules
(10 tests) pass against a local Nextcloud (app-only, no MCP profile needed).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Verify-on-read only checked file *accessibility* (file_accessible_by_id),
never tag membership, so a file removed from the `vector-index` tag (but
still readable) kept surfacing in semantic search, and stale points only
got evicted when they happened to rank in a search's top-K.
Rework `_verify_files` to gate on current `vector-index` tag membership via
a single batch `find_files_by_tag(tag, mime_type_filter="application/pdf")`
REPORT per search (plus a one-shot EXCLUDED_TAGS lookup for exclusion-wins
parity) — exactly what the scanner indexes. A file is kept iff it is in that
set, so untagged / deleted / excluded files drop out immediately and the
existing eviction wiring reclaims their Qdrant points. The gate is strict
for all file results, own and shared. Mirrors the batch-fetch-and-intersect
shape of `_verify_news_items` (one semaphore slot, fail-open on fetch error,
malformed-id keep).
- Promote the tag name to a `vector_sync_pdf_tag` Settings field (dynaconf
env mapping VECTOR_SYNC_PDF_TAG) used by both scanner and verifier;
drop the scanner's direct os.getenv.
- Expose `find_files_by_tag` on NextcloudClientProtocol.
- Rewrite the file-verifier unit tests (tagged/untagged/deleted/excluded/
fail-open/non-numeric); update the ACL + verify-on-read integration tests
to seed tagged PDFs.
- Amend ADR-019 and the configuration.md verify-on-read latency budget.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
🟡 Performance: unified_search's _execute sorted but did not cap the merged
multi-doc_type pool, so N doc_types each fetched at search_limit sent
N*search_limit candidates into verify-on-read (one Nextcloud round-trip each).
Cap to search_limit*2 after the sort, matching vector_search, nc_semantic_search
and the viz_routes pattern — bounding verification cost to O(2*search_limit)
regardless of how many doc_types are requested.
🟡 Consistency: _get_deck_metadata_from_qdrant is the one internal Qdrant lookup
that uses a raw user_id filter instead of build_ownership_filter. This is not a
bug — deck cards are a documented cross-user gap (the Deck API is per-user, so
cross-user context can't be fetched with the caller's credentials) — but the
inconsistency was unexplained. Added a comment documenting the deliberate
self-only scope.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
🟡 Important: nc_semantic_search's include_context branch did not forward
accessible_owners to get_chunk_with_context, so context expansion for shared
files stayed self-only, found nothing in Qdrant, and silently fell back to the
plain excerpt. Forward accessible_owners (the per-file file_accessible_by_id
gate still enforces access).
🟡 Performance: auth/viz_routes.py's multi-doc_type branch sorted but did not
cap the candidate pool before verify-on-read, so N doc_types × limit*2 went
into verification (N× the Nextcloud round-trips). Cap to limit*2 after the
sort, matching server/semantic.py and the cross-app branch.
Also clear the SonarCloud gate (new_duplicated_lines_density 5.1% > 3%) the
ACL wiring introduced: extract the duplicated /api/v1 client-resolution +
owner-expansion + verify-on-read block from unified_search/vector_search into a
shared _search_with_acl helper, define a constant for the repeated
"Nextcloud host not configured" literal (S1192), and reword the access_filter
move_to_end comment so it isn't misread as commented-out code (S125) while
adding the other-owner count to its debug log (review nits).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
1. Don't log unverified result titles: both search algorithms logged top-5
titles at DEBUG before verify-on-read; with owner-level share expansion the
unverified set can contain other users' docs. Algorithms now log a count
only; the verifying callers (server/semantic, viz_routes, api/visualization)
log verified titles after verify-on-read.
2. Cross-user FILE chunk context: get_chunk_with_context + the Qdrant chunk
helpers now take accessible_owners and use build_ownership_filter. For files
the expanded scope is honoured only after a per-file file_accessible_by_id
check (accessible_owners is owner-level, so the gate prevents a one-file
share recipient from reading any of the owner's cached chunks). note/deck/
news stay self-only (per-user APIs) — a documented gap. Both chunk endpoints
pass accessible_owners.
3. Algorithm usage: SemanticSearchAlgorithm is not dead (it backs the dense-only
option on the viz/API surfaces); added a clarifying comment in server/
semantic.py. Additionally wired accessible_owners + verify-on-read into the
/api/v1 search routes (unified_search, vector_search) so the astrolabe
surface is ACL-aware too — degrading gracefully to self-only/unverified for
non-provisioned callers instead of 401.
4. Overlapping conditions: build_ownership_filter no longer lists self in the
owner_id MatchAny branch (self is already covered by the user_id branch);
the owner_id branch carries only the OTHER owners.
Tests: build_ownership_filter dedup + chunk-bbox filter-shape updates; new
ACL-aware get_indexed_doc_types, cached-chunk lookup, and end-to-end cross-user
file chunk-context (recipient gets the chunk, non-recipient denied) tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- get_indexed_doc_types: add optional accessible_owners param and reuse
build_ownership_filter so cross-user doc-type discovery matches the real
search scope (was self-only / ACL-blind); docstring documents the self-only
default. Covered by test_get_indexed_doc_types_is_acl_aware.
- access_filter: build_ownership_filter now omits the owner_id branch entirely
for an empty owner set instead of relying on undocumented MatchAny(any=[])
semantics; updated the empty-list unit test accordingly.
- access_filter: make the uid_owner/owner share-owner extraction explicit
("absent, not empty") to avoid skipping on a falsy-but-present field.
- access_filter: add an operator note that pre-owner_id points need a re-index
to surface to share recipients (ACL search is a no-op for legacy data).
- verification/webdav: lock the file_accessible_by_id(scope="") contract with a
targeted multi-user test (owner + recipient True, non-recipient False).
- viz_routes: comment that verify-on-read eviction runs inline by design (no
lifespan task group available on the Starlette route).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- vector/qdrant_client.py: add owner_id to _PAYLOAD_INDEX_FIELDS (BLOCKING).
Every search applies MatchAny(key="owner_id", ...); without a keyword index
Qdrant full-scans the collection and may 400 on Qdrant Cloud strict mode.
_ensure_payload_indexes is idempotent so existing collections migrate at
startup.
- search/access_filter.py: bound the process-global _owners_cache with an LRU
cap (was one unbounded entry per active user, never evicted); document the
owner-level over-fetch limitation (a prolific sharer floods the recall
buffer with ghost candidates that verify-on-read drops, with no second
Qdrant pass) as a TODO toward per-file filtering.
- search/algorithms.py + semantic.py + bm25_hybrid.py: promote
accessible_owners from **kwargs to an explicit keyword-only parameter on the
SearchAlgorithm ABC and both implementations, so a misspelled keyword is a
type error rather than a silent fall back to self-only scope.
- search/verification.py: document that _verify_files now verifies by global
file id (WebDAV SEARCH), not by path.
- tests/unit/search/test_access_filter.py: add cache-hit, TTL-expiry,
failure-not-cached, and LRU-bound tests.
Bumps the astrolabe submodule with the matching #89 review fixes.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Adds the seven §10.2 hook-point modules + five env vars so Astrolabe Cloud can
offload document processing to the external document-processor / embedding
gateway. Purely additive: with every setting unset the server behaves exactly
as today, so self-hosters are unaffected (Deck #92).
Hook points (all default to current monolith behavior):
- config: EMBEDDING_PROVIDER, INGEST_MODE, STATUS_BACKEND,
COLLECTION_METADATA_SOURCE, FACT_EVENT_EMITTER (+ supporting settings),
validated in Settings.__post_init__ (fail-fast STATUS_BACKEND=local with
INGEST_MODE=external); shared canonical.py.
- vector/payload_keys.py + acl_hash.py: cross-impl NAMESPACE/point_id (§2.2)
and BLAKE2b-128 ACL hash (§11), pinned by fixtures shared with the
document-processor repo.
- embedding/gateway_client.py: OpenAI-compatible GatewayProvider authenticating
via M2M OIDC client-credentials (separate realm); manual-only registry entry.
- vector/collection_metadata.py: sentinel-point / API metadata source with env
fallback.
- vector/queue/: hexagonal ingest producer ports + memory/NATS adapters
(Postgres seam); INGEST_MODE=external publishes mcp.ingest.requested.{tenant}
instead of the in-memory stream and skips the in-process processor pool. The
lifespan becomes a composition root across both deployment branches.
- vector/queue/status.py: STATUS_BACKEND=bus subscriber feeding a StatusStore
the vector-sync status endpoint reads.
- admin/payload_backfill.py: POST /api/v1/admin/payload-backfill (admin scope);
processor writes the new payload keys; query-side ACL pre-filter gated behind
ACL_PREFILTER_ENABLED (default off).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- viz_routes: run verify_search_results before returning results. After the
accessible_owners expansion the viz can surface OTHER users' shared docs, so
it must drop ones the caller can no longer access (revoked share) — same as
the nc_semantic_search tool path. (Blocking review item.)
- access_filter: cache list_accessible_owners per user for 30s to keep the OCS
shares round-trip off the search hot path (failures aren't cached); document
the single-page OCS limitation; add a clear_accessible_owners_cache() test
helper. Comment the empty-accessible_owners MatchAny([]) edge case.
- verification: comment why cross-user eviction is a deliberate no-op (eviction
is scoped to the querying user's id, so a recipient's revoked access never
deletes the owner's points; the recipient self-heals via accessible_owners).
- algorithms: declare SearchResult.original_score (set by the viz route) so the
now-precisely-typed result list type-checks.
- tests: cross-user eviction-no-op safety test; autouse owners-cache reset in
the access_filter + shared-search tests; replace async-no-await qdrant fakes
with AsyncMock (clears SonarCloud S7503).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The ACL-aware vector filter (PR #813) expands a user's search to documents
whose owner shared them, but verify-on-read still re-checked each file by
PATH under the *searching* user's WebDAV root. Nextcloud mounts received
shares at the recipient's root by basename, so a nested shared file (e.g.
owner's /docs/report.pdf) 404s for the recipient and was silently dropped —
defeating the filter for everything but root-level files.
Verify files by their global Nextcloud file id instead (the file doc_id IS
that id): WebDAVClient.get_file_info_by_id was insufficient (the dav/meta
endpoint only resolves the user's own storage, not shares), so add
WebDAVClient.file_accessible_by_id which runs a WebDAV SEARCH over the user's
whole tree (incl. mounted shares) filtered on oc:fileid. Empirically this
resolves owned, directly-shared, and folder-shared files; an empty result is
a definitive drop, transport errors are kept as transient.
- search/verification.py: _verify_files now checks file_accessible_by_id.
- client/webdav.py: add file_accessible_by_id (SEARCH by fileid).
- tests/integration/test_acl_owner_filter.py: filter matrix vs real Qdrant.
- tests/integration/test_acl_shared_search.py: real-Nextcloud share -> search.
- tests/integration/test_verify_on_read.py: nested shared file kept for the
recipient; unshared file dropped.
- tests/unit/search/test_verification.py: id-based verifier semantics.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The vector index has always been strictly per-user: every Qdrant payload
carries a `user_id` and the search filter is `user_id == querying_user`.
A file Alice indexed cannot be discovered by Bob even if she has shared
it with him — Bob would have to re-index it under his own user_id to
make it searchable, which means duplicate index entries for every share
recipient.
Switch to ownership-with-ACL-expansion:
- New `nextcloud_mcp_server.search.access_filter` module:
- `list_accessible_owners(sharing_client, user_id)` calls the OCS
Sharing API (`shared_with_me=true`) and returns
`{user_id} ∪ {uid_owner of each share}`. Fails open to `[user_id]`
so a misbehaving Sharing API doesn't black-hole search.
- `build_ownership_filter(user_id, accessible_owners)` returns a
Qdrant `Filter` whose `should` branch matches either the new
`owner_id IN accessible_owners` field or the legacy `user_id` field.
The legacy branch keeps points indexed before this change reachable
without a migration backfill.
- Indexer payload (`vector/processor.py`) now writes `owner_id` alongside
`user_id`. `DocumentTask` gains an optional `owner_id` field; today the
scanner always runs as the owner so the processor falls back to
`user_id`, but the field is plumbed so a future shared-with-me crawler
can set the true owner without reshaping the payload contract.
- `SemanticSearchAlgorithm.search` and `BM25HybridSearchAlgorithm.search`
accept `accessible_owners` via kwargs and use the new ownership filter.
Default behaviour with no kwarg is unchanged (self-only).
- Both user-facing callers — the MCP tool path (`server/semantic.py`) and
the visualization Starlette route (`auth/viz_routes.py`) — compute
`accessible_owners` from the authenticated Nextcloud client before
invoking the search algorithm. Eviction, scanner deletion, placeholder,
and chunk-context paths intentionally keep the legacy `user_id`
semantics (those are "operations on a specific user's records", not
cross-user reads).
- 10 new unit tests in `tests/unit/search/test_access_filter.py` cover
self-only default, owner expansion, dedup, fallback fields, OCS
failure, and the legacy `should`-branch shape.
Pairs with cbcoutinho/astrolabe#89 — together they let an Astrolabe user
find content owners have shared with them without going through any
re-authorization flow or re-indexing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The ``BM25SparseEmbeddingProvider.__init__`` calls
``fastembed.SparseTextEmbedding(model_name="Qdrant/bm25")`` which
downloads ~50 MB of model weights from HuggingFace and loads them
into memory — observed >5 s wall-clock in production. The inference
methods (``encode_async``, ``encode_batch_async``) already wrap work
in ``anyio.to_thread.run_sync``, so the design intent is clearly to
keep FastEmbed off the event loop. That protection just didn't
cover the constructor.
Symptom in the Astrolabe Cloud per-tenant deploy (deck #102 smoke):
~30–90 s after a user enables semantic search, the pod tips into a
SIGKILL-restart cycle. Loki shows a single log line
Initializing BM25 sparse embedding provider: Qdrant/bm25
followed by nothing else from the event loop until exitCode 137.
Kubernetes ``/health/live`` httpGet probe timeout=5s fires 6 times
in a row, kubelet kills the container, restart, repeat.
Fix: switch ``get_bm25_service()`` to an async accessor that wraps
the first-time construction in ``anyio.to_thread.run_sync``. Two
existing call sites (``vector/processor.py:603``,
``search/bm25_hybrid.py:123``) update to ``await``. Both are
already inside async functions so the await is free.
New unit test pins the invariant by monkey-patching
``BM25SparseEmbeddingProvider.__init__`` with ``time.sleep(1)`` and
asserting a concurrent ``anyio.sleep(0.05)`` finishes promptly —
the test fails if the constructor ever runs back on the event loop.
Same pattern exists in ``OllamaEmbeddingProvider.__init__`` (sync
``httpx.get`` health-check). Ollama isn't enabled in any current
deploy; filed as a follow-up.
Refs:
- Astrolabe Cloud deck card #102 (smoke discovery)
- Sibling fix#799 (NullPool for cross-loop-asyncpg, same class
of "anyio bites you in production" bug)
Verified:
- ``uv run pytest tests/unit/`` — 1027 passed
- ``uv run ruff check`` clean on touched files
- ``uv run ty check`` clean on touched files
- New tests pass
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Detect pre-existing payload indexes with the wrong schema type in
`_ensure_payload_indexes`. The previous "field already in
existing_schema → skip" branch silently survived a collection migrated
from the int-doc_id era where `doc_id` is indexed as INTEGER, letting
`MatchValue(value="123")` searches keep failing with HTTP 400 on Qdrant
Cloud strict mode — exactly the production failure this PR was meant to
fix. New behaviour: compare `existing_schema[field].data_type` against
the declared type; on mismatch log a WARNING and append to
`failed_fields` so the consolidated end-of-function summary picks it up.
No auto-repair (operator intervention only — see docs/configuration.md
recovery procedure). New test exercises the doc_id-INTEGER scenario
end-to-end and asserts both the per-field WARNING and the summary line.
Clarify the `_verify_news_items` malformed-doc_id rationale: the news
API has no per-item endpoint, so a malformed doc_id genuinely cannot be
verified against the source of truth. We err toward false-positive
(keep) over false-negative (drop) — same conservative posture as
`_verify_notes` and `_verify_deck_cards`. The producer-side validation
is the real security boundary; the verifier is defence-in-depth. Both
the inline comment and the WARNING message now spell this out.
Add a TODO in `get_last_indexed_timestamp` flagging the O(N) cost on
every incremental sync tick. The previous single-page `limit=10_000`
silently bounded the scroll; paginating fixed correctness but made the
unbounded cost visible. The follow-up tracker (canonical TODO at
`api/visualization.py`) covers migrating the max-`indexed_at` to a
sentinel point or collection metadata for O(1) lookup.
Consolidate the duplicate non-numeric-doc_type TODOs at
`api/visualization.py:508` and `auth/viz_routes.py:570` into a single
canonical comment in `visualization.py`; `viz_routes.py` is reduced to
a back-reference. Removes the rot risk of "fixed in one place,
forgotten in the other." The canonical comment also references the
O(1) timestamp follow-up in `scanner.py`.
Document the `batch_size = 256` (qdrant_client.py) vs
`_DELETION_TRACKING_PAGE_SIZE = 1024` (scanner.py) split with
cross-referencing comments at each site: the smaller batch is for the
read-write backfill upsert path (Qdrant accepts ~256-point chunks
comfortably); the larger page is for read-only deletion-tracking
scrolls where no per-page write round-trip applies.
Replace `assert qdrant_client is not None` in `scan_user_documents`
with `cast(AsyncQdrantClient, qdrant_client)` plus an explanatory
comment. `assert` is silently elided under `-O`; `cast` is the
conventional zero-cost narrower for branches the type checker can't
infer from the surrounding `if not initial_sync` ternary.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Defer publication of `_qdrant_client` until after the in-lock backfill +
payload-index migration awaits complete. The fast-path check at the top of
`get_qdrant_client` reads the singleton without holding the init lock, so
publishing the constructed-but-unmigrated client let concurrent fast-path
callers fire filtered searches before `_ensure_payload_indexes` ran —
producing HTTP 400 ("Index required but not found") on Qdrant Cloud strict
mode. Local `provisional` is now used for every await inside the lock; the
global is assigned exactly once, last.
Replace the five hand-rolled `scroll(..., limit=10000)` calls in
`vector/scanner.py` (notes / files / news / deck-cards deletion tracking,
plus the timestamp scroll) with a single paginated `_scroll_all_points`
helper. The previous single-page cap silently dropped deletion-tracking
points beyond the first 10 k for any user past that threshold. Pagination
follows Qdrant's documented contract (loop until `next_page_offset is
None`) with a fixed per-page `_DELETION_TRACKING_PAGE_SIZE = 1024`.
Extract `_create_one_payload_index` from `_ensure_payload_indexes` to drop
its cognitive complexity below the SonarQube limit (17 → ≤ 15) without
losing the per-field error-containment rationale; every comment is
preserved verbatim on the helper.
Drop the stale `SearchResult.id` `int | str` comment and the redundant
`str(d)` coercion in `_verify_news_items` — the contract has been
str-only since the producer-side stringification landed earlier in this
PR.
Fix eight `doc_id=<int>` test calls in `test_chunk_context_offset_gate.py`
that violated the `doc_id: str` signature of `get_chunk_with_context`,
plus align `_make_result` in `test_verification.py` to coerce `id=str(...)`
matching the production contract — and update 30+ assertions from int
sets (`{1, 2, 3}`) to str sets (`{"1", "2", "3"}`) so the tests now model
the post-PR `SearchResult.id: str` reality end-to-end. Previously these
were masked by the `str(d)` coercion now removed from production.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Round-14 review surfaced one blocking and one important issue.
context.py: the comment justifying `skip_offset_lookup` claimed
chunk_start/end_offset weren't in _PAYLOAD_INDEX_FIELDS — round 13
indexed both as INTEGER, so the comment now actively misleads. Replace
with the real reason: an indexed chunk_index miss is canonical (both
paths hit the same Qdrant collection), and skipping the offset filter
avoids a redundant round-trip.
verification.py: hoist an is_valid_nextcloud_doc_id guard before the
`int(d)` cast in _verify_news_items, mirroring the boundary-validation
pattern already in _fetch_document_text. Coerce via `str(d)` because
SearchResult.id is `int | str` (D1 forward-compat widening). Malformed
ids now surface as a logger.warning rather than a generic debug line;
fail-open semantics are preserved.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- _group_int_doc_ids: use type(value) is not int instead of isinstance,
since bool is an int subclass and would otherwise stringify to
"True"/"False" and corrupt legacy payloads on backfill.
- Replace doc_id.isdigit() guards in 5 boundary sites
(api/visualization, auth/viz_routes, search/context note/news_item/
deck_card branches) with a shared is_valid_nextcloud_doc_id helper
that rejects "0", leading zeros, and Unicode digit classes
(superscripts, Arabic-Indic, Devanagari) which pass isdigit() but
cannot be valid MySQL AUTO_INCREMENT IDs.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- search/context.py: drop the doc_type=='file' guard on skip_offset_lookup
so notes / deck cards / news items also bypass the unindexed offset
fallback when chunk_index is available. Legacy chunk_index=None data
still uses the offset path.
- vector/qdrant_client.py: clarify the backfill/_ensure_payload_indexes
ordering invariant (backfill rewrites payload values only, never schema
or indexes). Acknowledge OSS-vs-Cloud uncertainty in the 400-branch
comment and the new-collection call-site comment.
- vector/scanner.py: hoist qdrant_client to function scope so the
file-scroll block doesn't depend on a name bound inside the
notes-scroll block.
- tests/unit/test_chunk_context_offset_gate.py: flip the note-with-
chunk_index test to assert the offset fallback is skipped.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Addresses the four 🟡 important findings from claude-bot review on PR #773:
str (non-Optional) and the guard would silently skip the Qdrant lookup
for an empty string. Removing the guard matches the type signature.
(`all([…, doc_id, …])` rejects None and empty string, plus
`assert doc_id is not None`). No code change needed.
`get_qdrant_client()` with a module-level `anyio.Lock`. Double-checked
locking keeps the steady-state hot path lock-free. Without this,
parallel cold-start callers could all enter the init block and run
`_backfill_doc_id_to_string` + `_ensure_payload_indexes` redundantly
(idempotent, but noisy). Pattern matches `auth/storage.py:2071`.
behavior with three tests covering the float-warning path (the gap
called out in the review), the str/None silent-skip paths, and the
int-grouping happy path.
Verification:
- ruff check / format: clean
- ty check -- nextcloud_mcp_server: clean
- uv run pytest tests/unit/: 969 passed
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
🔴 Blocking finding from PR #773 latest review:
`get_chunk_bbox_and_page_from_qdrant` (`search/context.py:199`) still
declared `doc_id: int | str` and passed the raw value into
`MatchValue(value=doc_id)` at lines 239 and 256 without `str()`
coercion. After this branch's startup backfill normalises every Qdrant
`doc_id` payload to a string, an `int` filter would silently match zero
points — the function would return `(None, None)` instead of the
chunk bbox / page, and PDF highlight overlays would fail in production.
Take option 2 from the reviewer's two suggestions (annotation
tightening over inline coercion): the producer side of this PR has
already narrowed every other `doc_id` annotation to `str`, so this
function is the last hold-out. Pushing the contract into the type
system means `ty` will catch any future regression at the call site.
Production callers in `api/visualization.py` and `auth/viz_routes.py`
already pass `doc_id` (str) verbatim after the recent merge with
master's chunk_index-first refactor, so no caller-side changes needed.
Update the 9 calls in `tests/unit/test_chunk_bbox_helper.py` to use
string literals (`"42"` / `"99"` / `"1"`) instead of integers. The
mock doesn't validate `MatchValue` value types, so the tests passed
with stale int doc_ids today — but they were exercising a path
production no longer takes.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Resolves both 🟡 important issues from the latest review:
1. `page_number` was unconditionally overwritten in `viz_routes.py:696` even
when Qdrant's payload lacked the field, clobbering the value resolved
from `chunk_context.page_number`. The new helper returns each field
independently and both call sites only overwrite via `is not None`
guards, matching the existing logic in `visualization.py`.
2. The ~60-line `if chunk_index is not None: ... else: ...` Qdrant scroll
block was duplicated between `api/visualization.py` and
`auth/viz_routes.py`. Extracted into `get_chunk_bbox_and_page_from_qdrant`
in `search/context.py` alongside the existing private `_get_chunk_*_from_qdrant`
helpers; both routes now share ~12 lines of caller code.
New unit tests at `tests/unit/test_chunk_bbox_helper.py` cover the indexed
and offset paths, the `(bbox, None)` regression case, and graceful
degradation on Qdrant strict-mode 400 (which also closes nit #4).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Remove unreachable doc_type=="file" branch (and pymupdf/pymupdf4llm
imports) from _fetch_document_text in search/context.py — the file
path is short-circuited in get_chunk_with_context before reaching it.
- Drop the redundant `username = request.user.display_name` alias in
auth/viz_routes.py; both Qdrant scroll filters now reference user_id
consistently with the rest of the handler.
- Add TestAdjacentChunkBoundary in tests/unit/test_chunk_context_offset_gate.py
covering chunk_index=0 (before-fetch gate closed) and
chunk_index=total_chunks-1 (after-fetch gate closed) — the two
off-by-one boundaries previously untested.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- search/context.py: rename triple-negation gate condition to
`skip_offset_lookup` named boolean for readability; convert new
logger.warning to lazy %-style per repo convention.
- api/visualization.py, auth/viz_routes.py: add comment on the offset-only
Qdrant scroll branch noting it is a legacy path for pre-astrolabe#75
clients and degrades gracefully on Qdrant Cloud strict mode.
Reviewer item #2 (extracting the duplicated scroll block into a shared
helper) deferred to a follow-up issue per the reviewer's "not blocking"
framing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- pdf_highlighter.compute_chunk_bboxes_batch: drop unused chunk_text
destructure (SonarQube finding), and replace positional
page_boundaries[page_num - 1] with a key-based next() match so
reordered or non-1-indexed boundaries can't silently shift the bbox.
Convert touched f-string log to lazy %s formatting.
- vector/processor: rename the trace_operation span from
"vector_sync.generate_highlights" to "vector_sync.compute_chunk_bboxes"
to match what the function actually does.
- Add test_compute_chunk_bboxes_handles_unordered_page_boundaries —
reverses the boundaries list and asserts identical results to the
in-order case, guarding the boundary-lookup regression class.
- Pin pre-push-review skill to sonnet model.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Add a fixed-UUID sentinel point written after a successful doc_id
backfill so subsequent restarts retrieve it and short-circuit the
O(N) scroll. Sentinel has no user_id/doc_id/doc_type payload so
production search filters never see it.
- Pre-fetch payload_schema in _ensure_keyword_payload_indexes and
silently skip fields that are already indexed; the "Created KEYWORD
payload index" INFO log fires only on actual creation.
- Narrow stale `int | str` doc_id annotations to `str` across
search/verification.py (BatchVerifier return type, per-verifier
accessible sets, by_type / accessible_by_type / inaccessible
collections); drop the now-redundant `type(d).__name__` prefix in
the dropped-docs log.
- Align the backfill log message with the PR description's
"Running doc_id backfill" promise; add a caller cross-reference to
the wait=True comment.
- Fix _get_file_path_from_qdrant docstring (file_id is str, not numeric).
- Convert legacy `id=1` to `id="1"` in test_search_result.py to match
the SearchResult.id: str annotation.
Three new unit tests cover sentinel-found, sentinel-written, and
skip-existing-index branches; existing backfill tests pass dimension
and explicit retrieve.return_value=[] for the no-sentinel path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Addresses the deferred half of PR #767 review issue 2: instead of just
documenting the "0/N misreport" with a logger.warning, propagate the
caller's None for chunk_index through the dataclass, position markers,
and response builders so callers can distinguish "unknown position"
from "actually chunk 0".
Changes:
- ChunkContext.chunk_index: int → int | None
- _insert_position_markers: chunk_index parameter is int | None; when
None, renders "Chunk ?/N" instead of "Chunk 1 of N"
- get_chunk_with_context: drops the effective_chunk_index local entirely.
Passes chunk_index (may be None) directly into both ChunkContext and
_insert_position_markers, in both the Qdrant fast path and the
doc-text fallback.
- Fast path: when chunk_index is None and chunk_text was retrieved via
the offset lookup (notes/cards), skip the adjacent-chunk fetch.
Index arithmetic from a default 0 would query the chunks at positions
-1 and 1 even when the actual chunk is, say, 5/20 — silently producing
wrong "before"/"after" text. Mark both sides as truncated instead.
- Drop the now-redundant logger.warning in the doc-text fallback (the
response correctly communicates the unknown state via chunk_index=None).
Both existing response builders (`api/visualization.py:657` and
`auth/viz_routes.py:717`) already serialise `chunk_context.chunk_index`
unconditionally; `None` becomes JSON `null`. No route changes needed.
Adds 5 regression tests:
- ChunkContext.chunk_index propagates as None in fast path
- ChunkContext.chunk_index propagates as None in doc-text fallback
- Fast path with chunk_index renders "Chunk N of M" correctly
- _insert_position_markers renders "?/N" for None chunk_index
- _insert_position_markers renders explicit index when supplied
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- _ensure_keyword_payload_indexes: distinguish 400 (schema conflict, warning)
from other status codes (5xx/network, error) so a transient outage doesn't
silently leave the collection unindexed.
- build_search_result_from_point: use .get("doc_id") + return None on missing
instead of KeyError-crashing the search; reverse metadata merge order so
payload-derived chunk_index/total_chunks win over caller-supplied extras.
- docs/configuration.md: restore the OpenAI/Mistral/Bedrock/Simple provider
sections + reference-table rows that were dropped in the rebase. Reword
the "Startup migrations" bullet to describe what the code actually does
(no sampling — full scroll, zero writes when clean). Add operator note
about the SemanticSearchResult.id TypeError path.
- tests: pytest.approx for float equality (Sonar python:S1244); coverage
for non-400 → ERROR, payload={doc_id: None}, and missing doc_id key.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Drop chunk_bbox_page from Qdrant payload — viz endpoints never read it
(page_number is the canonical PDF page field).
- Bump upsert BATCH_SIZE 10 → 100 now that payloads no longer carry PNGs.
- compute_chunk_bboxes_batch: move doc.close() into finally, replace
unused stored_page_num with _.
- purge_page_images.py: switch to anyio.run() per project convention,
and wrap AsyncQdrantClient in try/finally so the aiohttp session is
always closed (the class doesn't implement async-context-manager).
- Decorate new bbox unit tests with @pytest.mark.unit so they run under
the fast-feedback selector.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Latest reviewer comment flagged five items on top of the original PR. This
commit addresses every one:
🟡 1. Skip the offset-based Qdrant fallback for `doc_type=file` when
`chunk_index` is supplied. Qdrant Cloud's strict mode rejects unindexed
filter fields with HTTP 400, which `_get_chunk_from_qdrant` catches and
logs at `logger.error` — masking real Qdrant problems in monitoring.
Notes/cards keep the offset fallback (cheap, useful for legacy data).
🟡 2. Add a `logger.warning` and clarifying inline comment in the doc-text
fallback path when `chunk_index` is None — surfaces the pre-existing
"0/N misreport" so callers can detect it. Type-nullability propagation
is deferred to a follow-up (out of scope for this hotfix).
🟢 3. Simplify `if chunk_text and doc_id_int is not None:` →
`if chunk_text:` with an inner `assert doc_id_int is not None` for
`ty` narrowing. The outer second clause was dead.
🟢 4. Add `doc_type` `FieldCondition` to the offset-based image lookup in
both `visualization.py` and `viz_routes.py` for parity with the
`chunk_index` branches.
🟢 5. Inline the `chunk_filter` local in `visualization.py` directly into
the `must=[]` list (matches `viz_routes.py` style).
Adds `tests/unit/test_chunk_context_offset_gate.py` with three regression
tests covering the gate matrix: (file, with-index → skip offset),
(note, with-index → still tries offset), (file, no-index → still tries
offset). Lives at top-level rather than `tests/unit/search/` to side-step
a pre-existing circular-init issue in `nextcloud_mcp_server.search`.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Per-chunk PDF page renders (~150–700 KB base64 PNG each) were the dominant
disk consumer in production, repeatedly tripping `No space left on device:
WAL buffer size exceeds available disk space` on welcomed-malamute Qdrant.
Replace the inline highlighted_page_image / highlighted_page_number /
highlight_count fields with a small `chunk_bbox` field:
list[(x0, y0, x1, y1)] of normalized [0, 1] floats, ~32 bytes per chunk.
Astrolabe (the only known consumer) renders the highlight client-side as
a percentage-positioned overlay on top of the existing /api/v1/pdf-preview
render-on-demand path (cbcoutinho/astrolabe#76).
- pdf_highlighter: new compute_chunk_bboxes_batch() that reuses the
existing _find_chunk_bbox text-search path, skipping all pixmap/PIL/PNG
work.
- processor: store chunk_bbox + chunk_bbox_page in the Qdrant payload,
drop highlighted_page_image + friends, drop the base64 import.
- visualization /api/v1/chunk-context and auth/viz_routes: read
chunk_bbox instead of highlighted_page_image.
- vector/__init__: stop eagerly re-exporting `processor`/`scanner` —
fixes a pre-existing circular import (search.algorithms ->
vector.placeholder -> vector/__init__ -> processor -> scanner ->
server.semantic -> search.bm25_hybrid -> search.algorithms partial).
Test suite that was broken on master (test_bm25_hybrid.py et al.) now
collects and passes.
- scripts/purge_page_images.py: ad-hoc, idempotent migration that
delete_payload's the legacy keys from existing points. No reindex
required; legacy chunks render the page with no overlay.
Pairs with cbcoutinho/astrolabe#76. Frontend handles missing chunk_bbox
gracefully, so this can land in either order.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Addresses reviewer feedback on PR #773:
- Backfill set_payload now uses wait=True to avoid a race where
_ensure_keyword_payload_indexes builds the KEYWORD index before
fire-and-forget writes have committed, leaving int payloads
invisible to filters.
- Batch points sharing the same int doc_id into a single set_payload
call (one document → many chunks → one round-trip instead of N).
- Drop _has_int_doc_id_sample short-circuit. The sample's false-negative
window (clean first 256 results, ints further in) is gone; full scroll
is the dominant cost on first run anyway.
- Simplify _ensure_keyword_payload_indexes: the "already exists" 400
branch was dead code (Qdrant returns 200 on identical re-create); any
400 now logs a warning and continues.
- search/context.py: comment the broadened file-type guard. Add explicit
not doc_id.isdigit() checks at the top of note/news_item/deck_card
branches in _fetch_document_text so malformed payloads surface as
warnings instead of being swallowed by the broad except.
Also extracts build_search_result_from_point into search/algorithms.py
to deduplicate the 71-line payload-extraction loop shared by
SemanticSearchAlgorithm and BM25HybridSearchAlgorithm. This fixes
SonarQube's quality-gate failure (4.0% new-code duplication, max 3%).
Test coverage:
- 7 new unit tests for build_search_result_from_point covering missing
payload, note/file/deck_card metadata, int doc_id coercion, and
metadata_extras merging.
- Replace _has_int_doc_id_sample tests with clean-collection no-op and
per-batch grouping tests.
- Update set_payload assertions from wait=False to wait=True.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
