Extract _mark_backstop_done() (overflow eviction + marker write) and
_backstop_delete_doc_type() (per-type scroll + enqueue) so
_enqueue_deletes_for_disabled_types drops from cognitive complexity 17 to well
under the 15 threshold. Behavior unchanged; tests still pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- vector_sync route: rename the response dict from `body` to `resp` so it no
longer shadows the request `body` (maintenance trap)
- scanner: comment the intentional files-vs-text purge timing asymmetry
- tests: add the all-text-types-disabled backstop case (empty allow-set)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- purge route: include a "failed" key in the 200 body listing requested doc
types that were not purged, so Astrolabe knows consent isn't yet enforced
for them (scanner backstop still catches up)
- tests: add @pytest.mark.unit / module-level pytestmark to the new test
modules so they run under `pytest -m unit`; add a partial-failure route test
- capabilities: comment why the cache is keyed per-user despite a global value
- semantic/scanner: doc/comment clarifications (sorted-order, eviction timing)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- tests: cover the process_document consent gate (drops an admin-disabled
index task with record_ingest_dropped("admin_disabled"); allows approved)
- scanner: _consent_backstop_done is now an insertion-ordered dict and evicts
the oldest entries to half capacity on overflow, so a bound hit re-fires the
backstop for only the oldest markers instead of the whole fleet at once
- semantic: reword the short-circuit log (consent, not installation)
- capabilities: comment why move_to_end is needed after an expired-key update
- test: assert the global purge delete-filter is owner-agnostic (doc_type only);
fix a pre-existing ty error on UnexpectedResponse(headers=None) in the file
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- app.py: register /api/v1/vector-sync/purge only when vector_sync_enabled, so
it returns 404 (not a 500 from get_qdrant_client) when sync is off
- scanner: bound _consent_backstop_done so a long-running multi-tenant process
with user churn can't grow it without limit (clears on overflow)
- purge route: distinct 400 for a missing doc_types key; enforce the admin
check even for an empty no-op request (destructive route)
- tests: missing-key 400, admin-gated empty no-op, non-admin empty 403
The _consent_narrowed_doc_types precondition is enforced by its non-Optional
frozenset[str] signature (ty rejects a None caller). The httpx.BasicAuth
SonarCloud hotspot matches the existing webhook routes (false positive,
credential from the app-password store) — left consistent for UI triage.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- scanner: gate the consent backstop with a per-(user,doc_type) one-shot
marker so a standing admin-disable doesn't re-enqueue idempotent deletes
every scan tick; the marker clears when the type is re-enabled. Derive
_TEXT_BACKSTOP_DOC_TYPES from INDEXED_DOC_TYPES so new indexed types are
covered automatically
- semantic: extract _consent_narrowed_doc_types so the search-side narrowing
is unit-testable; add tests for restrict/intersect/disjoint/empty
- purge route: cap doc_types length (abuse guard) -> 400
- tests: one-shot + re-enable backstop, too-many-doc_types 400
Deferred (noted on PR): per-document allowed_doc_types call is cache-hot;
purge "last error wins" — both logged. SonarCloud broad-except hotspots are
deliberate (noqa BLE001), reviewable in the UI.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- purge route: 400 (not 500) on a valid-JSON non-object body
- scanner: backstop-purge admin-disabled note/news_item/deck_card points
(their deletion-tracking lives inside the skipped scan_* fns), mirroring the
files path; gated on a concrete allow-set so fail-open never deletes
- processor: record_ingest_dropped("admin_disabled") so consent-skipped index
tasks are observable/alertable
- app.py: list /api/v1/vector-sync/purge in the endpoints log line
- capabilities: drop empty-string doc types; return frozenset throughout
- purge: document the count-before-delete approximation
- tests: non-object body -> 400, ProvisioningRequiredError -> 428, cache TTL
expiry refetch, and the scanner consent backstop
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Consume the astrolabe.semantic_search capability as the source of truth for
which content sources an admin has approved for semantic search, and enforce
it independently of Astrolabe (this server queries Qdrant directly).
- capabilities.py: cached per-user reader for enabled_doc_types (TTL+LRU,
fail-open so older Astrolabe / transient OCS errors don't break search)
- semantic search: intersect requested doc_types with the allowed set;
restrict to the allowed set when none requested; short-circuit when empty
- scanner: skip disabled sources during discovery (files discovery yields
nothing when disabled, so the existing grace-period reconcile purges them)
- processor: drop near-real-time index tasks for disabled doc_types
(webhook events bypass the scanner gate); deletes always proceed
- vector/purge.py + POST /api/v1/vector-sync/purge: admin-only global
delete-by-doc_type, called by Astrolabe when a source is disabled so
consent is binding on data-at-rest
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Extract `_app_enabled` to a module-level helper so the gate predicate is
unit-tested directly instead of via an inline copy that could drift.
- Move `import logging` to module scope in test_scanner_app_gating.py.
- Harden `get_enabled_apps` OCS-envelope parsing (`X or {}` / `or []`) so a
present-but-null `ocs`/`data` coerces to empty instead of raising on
`None.get`; add parametrized malformed-envelope tests.
- Use https:// in the test request URL (SonarCloud S5332 hotspot).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The vector-sync scanner polled every indexed app (Notes, Files, News,
Deck) for every provisioned user on each scan cycle. When a user lacks
an app, its REST API returns 404; these were caught (indexing
continued) but flooded tenant logs with repeated 404s, scaling with
users x disabled-apps x scan-frequency and masking real failures.
Add NextcloudClient.get_enabled_apps(), which reads the per-user
/ocs/v2.php/core/navigation/apps endpoint (respects group
restrictions). Chosen over /cloud/capabilities because the News app
advertises no capability and never appears there.
scan_user_documents now resolves the enabled-app set once per cycle and
skips the Notes/News/Deck scans for apps the user lacks. Files stays
unconditional (core Tags API, not a 404 source). Detection failures
fall back to scanning every app (prior behaviour), so a transient
nav-endpoint blip never silently halts indexing; the per-app 404 guards
remain as the safety net.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Round-2 review follow-ups (PR #857), both documentation-only:
- sharing_state.py: reconcile_document_path docstring no longer claims it
returns False when no real points exist — it returns True and the set_payload
is a Qdrant-side no-op (callers discard the return value).
- scanner.py: reword the rename-reconcile comment to state the precise reason
(modified_at stable so not re-queued; path may be stale from a rename) rather
than the loose "dedup miss / etag changed" phrasing.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Round-1 review follow-ups (PR #857):
- scanner.py: skip the rename-reconcile when the existing metadata point is a
placeholder. reconcile_document_path only touches real chunks, so a not-yet-
indexed file would just incur a 0-point set_payload; the real index writes the
current path anyway.
- test_sharing_state.py: add a dedup-hit case where the file was renamed AND the
user is new to the ACL, asserting both set_payload writes fire (file_path/title
and acl_principals).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The vector-sync pipeline derived an indexed file's display title from the
document's embedded metadata (e.g. a PDF's /Title), falling back to the
filename only when absent. That embedded title frequently disagrees with how
the user named the file in Nextcloud and is confusing in the astrolabe
vector-viz UI (a passive consumer of the `title` payload field).
For files, always derive the title from the Nextcloud filename via a shared
`file_title_from_path` helper. Notes/deck/news keep their metadata titles.
A rename/move in Nextcloud keeps the fileid (doc_id) and content (etag/mtime)
but changes the path, so both the dedup claim and the scanner freshness gate
skip re-embedding and the stored file_path/title go stale. Add
`reconcile_document_path`: a metadata-only set_payload that refreshes
file_path + title on the existing real chunks without re-fetch/re-embed.
Wire it into both skip paths:
- dedup hit (etag unchanged on rename) via claim_existing_index(current_path=...)
- scanner incremental skip (etag changed, mtime stable)
Both reuse already-fetched payloads, so steady-state scans add no extra
round-trip (reconcile is a no-op when the path is unchanged).
Refs: Deck #204
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The document processor crash-looped on one pathological PDF: pymupdf4llm's
table/graphics detection over a page with ~1M vector path items ballooned past
the 2 GiB pod limit. The parse ran in a thread, so nothing could interrupt or
memory-bound it -- a single bad file OOM-killed the whole pod.
Run the parse in an isolated worker subprocess (anyio.to_process, cancellable)
with an RLIMIT_AS memory cap and a wall-clock timeout, so a pathological file
fails THAT document instead of the pod (new document_processors/_isolation.py).
Also pass graphics_limit (default 5000) to to_markdown -- validated to cut the
known trigger page from 112 s to 23 s with bounded memory.
On a permanent parse failure the processor returns success=False (instead of
raising, which would retry 3x); vector/processor.py marks the placeholder
"failed" and skips indexing, and the scanner stops re-queuing failed placeholders
until the file changes -- so a doomed file no longer churns.
New per-tenant (per-pod env) settings: DOCUMENT_PDF_GRAPHICS_LIMIT,
DOCUMENT_PARSE_TIMEOUT_SECONDS, DOCUMENT_PARSE_MEM_LIMIT_MB. New metric
astrolabe_document_parse_failed_total{reason=timeout|oom|error} surfaces hard
failures that previously killed the process before any except ran.
First PR of the tiered document-processor effort (Deck #199); tier 0/1/3
pipeline tracked separately.
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>
Add a comment at the deletion-tracking scroll noting that a user who
gained access to a shared file via the tenant-wide dedup path (without
indexing it) is absent from the user_id-filtered indexed_file_ids, so the
grace-period sweep never enqueues a delete for them — their stale
acl_principals entry is reclaimed lazily by verify-on-read eviction.
Addresses review nit #3.
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>
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>
The Notes scan in scan_user_documents ran inline without a try/except, while
files/news/deck each had their own guard. On instances without the Notes app
installed, notes.get_all_notes() raises HTTPStatusError 404, which propagated
out of scan_user_documents and aborted the entire per-user vector sync before
files/news/deck were ever reached -- yielding "0 documents indexed" and, after
5 consecutive errors, stopping the scanner.
Extract the Notes scan into scan_notes() (mirroring scan_news_items /
scan_deck_cards) and wrap the call in a per-app try/except. A 404 (app not
installed/disabled) is now logged at info and skipped; other apps still scan.
Deletion-tracking runs only after a successful Notes fetch, so a failed fetch
can never mass-delete a user's indexed notes.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
SonarCloud:
- Resolve 6 S5332 hotspots (http→https in test fixture URLs).
- S6418: hoist the unauthenticated AsyncOpenAI placeholder to a named constant
+ NOSONAR (genuine non-secret; gateway ignores it when unauthenticated).
- Fix two reliability bugs: None-index guard in the gateway token-cache test
(S2259) and float `> 0.0` instead of `!= 0.0` in the sentinel test (S1244).
- status.py idle path sleeps 0.1s instead of sleep(0) (S7491); NOSONAR on the
protocol-required async no-await aclose() stubs (S7503).
Claude review:
- Remove three leftover debug print() calls in app.py (logger.info already
covers them).
- payload_backfill: drop parsed_at from the backfilled-keys docstring (it is
per-document state, not a deployment scalar); add a clean 404 precondition
for BasicAuth deployments without an OAuth token verifier.
- status.py: task_status typed TaskStatus | None (drop type: ignore).
- nats.py: TODO to thread etags for file/deck/news; note etag default → None.
- factory: warn on unknown INGEST_BUS_URL scheme; raise ValueError instead of
assert for the external-mode preconditions.
- docs/configuration.md: document the decomposition hook-point env vars + that
nats-py ships core (lazy-imported) and external+bus uses two NATS connections.
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>
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>
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>
- 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>
Reviewer feedback (3 important + 3 nits):
- Wrap _ensure_keyword_payload_indexes' get_collection() call in
try/except. The qdrant_client singleton is already assigned by the
time this function runs, so a transient timeout/DNS failure
propagating out left the process holding a usable client with the
migration silently skipped on every subsequent call. Now logs ERROR
with exc_info and returns; next process restart retries.
- Add `and "doc_id" in point.payload` guard to the four set
comprehensions in scanner.py (indexed_doc_ids, indexed_file_ids,
indexed_item_ids, indexed_card_ids). Previously a payload missing
the doc_id key would raise KeyError and crash the entire scan.
- Tighten test_ensure_keyword_payload_indexes_logs_400_as_warning to
match the per-field warning prefix exactly (`startswith("Schema
conflict on payload index")`), so a future change adding 400s to
the partial-failure summary surfaces here as a count mismatch.
- Add new-collection vs existing-collection context to the
_backfill_doc_id_to_string docstring's `dimension` parameter.
- Replace the misleading "rewrote 0/N from int to str" wording when
no rewriting was needed with "N points scanned, none required
rewriting (collection already in str form)".
- Add test_ensure_keyword_payload_indexes_logs_and_returns_when_
get_collection_raises mirroring the scroll-failure test.
SonarCloud (1 CRITICAL + 1 MINOR):
- Refactor _backfill_doc_id_to_string to bring cognitive complexity
under 15 (was 19). Extracted two pure helpers: _group_int_doc_ids
(group point IDs by stringified doc_id) and _apply_backfill_writes
(apply set_payload calls and return rewritten count). The main
function's scroll/loop/sentinel structure is unchanged.
- Add `await asyncio.sleep(0)` to the three async test side_effect
helpers (_scroll_raises, _upsert_raises, _create_index) so they use
an actual async feature (S7503). The async-callable shape is still
required to avoid the AsyncMock unawaited-coroutine warning when
side_effect raises.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Remove three stale `# Use numeric file ID` / `# Pass file path` comments
in scanner.py. file_id is already normalized to str() above each call
site, so the inline comments mislead readers.
- Wrap `_backfill_doc_id_to_string` scroll loop + sentinel upsert in
try/except Exception. The qdrant_client singleton is assigned before
this migration runs, so a transient scroll failure was leaving the
process holding a usable client with int payloads permanently
unbackfilled until the next restart. Catch broadly, log ERROR with
exc_info, and return without writing the sentinel — next process
restart retries from scratch.
- Note `:memory:` mode behavior near the sentinel constants so future
readers don't read the every-start scroll as a bug.
- Document the two degraded-migration ERROR log signals in
docs/configuration.md so operators know when a clean restart is
required to recover indexing.
- Add unit test asserting scroll-time exceptions are logged and swallowed
without writing the sentinel.
Closes round-4 review feedback on PR #773.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Production was logging two cascading classes of Qdrant errors against the
welcomed-malamute deployment:
1. HTTP 400 — "Bad request: Index required but not found for \"doc_id\" of
one of the following types: [keyword]". The collection was created via
create_collection() with no payload indexes, so any FieldCondition
filter on doc_id failed at the Qdrant layer (placeholder writes/reads,
eviction, search context lookups).
2. Compounding the missing index, producers wrote a mix of int and str
doc_ids: webhook_parser stringified node_id, scanner stringified note
IDs, news IDs, and deck card IDs — but the file scanner passed the
numeric file_id through unchanged. A keyword index would not have
covered both kinds even if it had existed.
This change:
- Normalizes doc_id to str at every producer site (scanner.py:459,
DocumentTask.doc_id, indexed_*_ids reads from Qdrant).
- Tightens str|int annotations to str across placeholder.py,
eviction.py, search/verification.py, search/context.py,
SearchResult.id, and the auth/api visualization endpoints.
- Defensive str() coercion on doc_id reads in semantic.py /
bm25_hybrid.py / vector/visualization.py for the transition window
before the backfill runs.
- Adds an idempotent startup migration in get_qdrant_client():
- _ensure_keyword_payload_indexes creates KEYWORD indexes for
doc_id, user_id, and doc_type (tolerates "already exists" 400s).
- _backfill_doc_id_to_string scrolls the collection once and rewrites
int doc_ids to str. Skipped after a quick sample shows no legacy
int payloads.
- Public API preserved: SemanticSearchResult.id stays int via explicit
int(r.id) narrowing in server/semantic.py — surfaces a TypeError with
actionable context if a future doc_type ships non-numeric ids.
- Documents the startup migration in docs/configuration.md.
Tests: 11 new unit tests in tests/unit/vector/test_qdrant_client.py
covering happy path / already-exists / unrelated-400 for the index
helpers, and sample-skip / mixed-batch rewrite / payload=None edge cases
for the backfill. 889 unit tests pass.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
NextcloudClient.find_files_by_tag now mirrors the directory semantics
already used by the exclusion path (issue #710): when a tagged item is
a folder, walk its descendants via WebDAV SEARCH (Depth: infinity) and
include any files matching the MIME filter. Without this, tagging the
root of a corpus with `vector-index` indexed nothing because the tag
applies to the directory only, not to its children.
The vector scanner additionally consults EXCLUDED_TAGS now, so a folder
marked off-limits is skipped even if it (or an ancestor) carries the
include tag — defense-in-depth, matching the "exclusion wins" contract
already enforced by the MCP file tools.
Also addressed a recurring memory-style nit: pre-existing f-string log
lines in find_files_by_tag were converted to lazy %-style.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Implements fire-and-forget eviction (ADR-019 §"Lazy eviction"): the
search response no longer waits on Qdrant deletes, instead spawning
evict() on a long-lived lifespan-owned task group. Falls back to inline
eviction in modes without vector sync and in unit tests.
Also: harden _verify_news_items against non-numeric ids (fail open
instead of crashing the verifier); document the get_file_info None-on-404
contract; add INDEXED_DOC_TYPES single source of truth in vector/scanner.py
referenced by the CI-guard test; write a Verify-on-Read Latency Budget
section in docs/configuration.md covering the unbounded news.get_items
fetch. Closes the two remaining ADR-019 implementation checklist items.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Enable ruff PLC0415 rule for all source files (tests excluded via
per-file-ignores). Move 136 inline imports to top-level across 33 files.
8 imports suppressed with noqa for legitimate reasons: circular
dependencies (client/__init__.py, context.py), optional dependency
guards (app.py document processors, auth/userinfo_routes.py), and
post-env-setup imports (smithery_main.py).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Addresses reviewer feedback on PR #395 about O(n²) performance issue.
Changes:
- scanner.py: Add metadata field to DocumentTask with board_id/stack_id
- scanner.py: Populate metadata during deck card scanning (both initial and incremental sync)
- processor.py: Use metadata for O(1) card lookup via get_card() API when available
- processor.py: Fallback to iteration for legacy data without metadata
- context.py: Add _get_deck_metadata_from_qdrant() helper to retrieve metadata from Qdrant
- context.py: Use metadata for fast path lookup in chunk context expansion
- context.py: Add user_id parameter to _fetch_document_text() for metadata retrieval
Performance Impact:
- Before: O(boards × stacks × cards) iteration for each card lookup
- After: O(1) direct API call using stored board_id/stack_id
- Graceful degradation: Falls back to iteration for legacy data
Testing:
- All existing integration tests pass (test_deck_vector_search.py)
- Type checking passes with no new errors
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Adds comprehensive vector search support for Nextcloud Deck cards,
including semantic search indexing, chunk preview in the vector viz UI,
and proper deep linking to cards.
**Vector Search Indexing**
- Add deck_card scanning in scanner.py (scan_deck_cards function)
- Index cards from non-archived, non-deleted boards
- Store metadata: board_id, board_title, stack_id, stack_title, card_type, duedate, owner
- Content structure: title + "\n\n" + description (matches indexing format)
- Incremental sync based on lastModified timestamp
- Deletion tracking with grace period
**Vector Visualization Support**
- Add deck_card handler in context.py for chunk preview expansion
- Include board_id in search result metadata (bm25_hybrid.py, semantic.py)
- Expose metadata in viz_routes.py JSON responses
- Update vector-viz.js to construct proper Deck URLs: /apps/deck/board/{board_id}/card/{card_id}
- Update vector_viz.html filter label from "Deck" to "Deck Cards"
**Bug Fixes**
- Skip soft-deleted boards (deletedAt > 0) to prevent 403 Forbidden errors
- Applies to scanner, processor, and context expansion code paths
- Deck API returns deleted boards but rejects stack access with 403
**Testing**
- Add integration tests in test_deck_vector_search.py:
- test_deck_card_semantic_search: Filtered search with doc_type="deck_card"
- test_deck_card_appears_in_cross_app_search: Cross-app search includes deck cards
- test_deck_card_chunk_context: Chunk context fetching for viz preview
**Documentation**
- Update README.md: Add Deck cards to semantic search feature list
- Update semantic-search-architecture.md: Document deck_card support
- Update nc_semantic_search tool documentation
**Type Safety**
- Fix type narrowing for page_boundaries (could be None) using cast()
- Fix scanner.py payload None check for type safety
Resolves vector search for Deck cards across indexing, search, and visualization.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Fixed 8 type checker errors across the codebase:
- vector/scanner.py: Handle None scroll results with null-safe iteration
- search/{bm25_hybrid,semantic}.py: Add None checks for result.payload
- auth/{unified_verifier,webhook_routes}.py: Assert non-None auth credentials
- client/webdav.py: Add None checks before int() conversions
- providers/openai.py: Assert embedding_model is not None
- search/algorithms.py: Explicitly type doc_types set and cast values
- observability/logging_config.py: Match parent class signature (log_data)
Also fixed test_create_tag_creates_system_tag to match WebDAV implementation
(was testing OCS API endpoint, now tests correct WebDAV endpoint with
Content-Location header).
Type checker: 0 errors (down from 8), 20 warnings (ignored)
Tests: All 192 unit tests passing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Remove the complex starred+unread filtering logic in scan_news_items().
The News app's auto-purge feature (default: 200 items per feed) already
limits the total number of items, making explicit filtering unnecessary.
Changes:
- Replace two API calls (starred + unread) with single all-items call
- Remove deduplication logic that merged both lists
- Update docstring to explain the simpler approach
This reduces code complexity while maintaining the same effective coverage.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Add full integration for the Nextcloud News (RSS/Atom reader) app:
- Add NewsClient with complete CRUD operations for folders, feeds, and items
- Add 8 read-only MCP tools for listing/getting folders, feeds, items
- Add Pydantic models for News entities with camelCase alias support
- Add vector sync support for starred + unread items
- Add HTML to Markdown converter using markdownify for better embeddings
- Add Docker post-install hook to enable News app
- Add 25 unit tests for NewsClient API methods
Vector sync indexes starred and unread items, providing a balanced approach
that captures important (starred) and current (unread) content without
indexing the entire article history.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Changed from 2x (120s) to 5x (300s) scan interval
- Large PDFs take 3-4 minutes to process, need longer threshold
- Prevents premature requeuing of in-flight documents
- Only requeue documents if placeholder is older than 2x scan interval (120s default)
- Prevents scanner from immediately requeuing in-flight documents
- Fixes issue where PDFs were being reprocessed every 60 seconds
- Staleness check applied to both notes and files scanning logic
Introduces a placeholder-based state tracking system to prevent duplicate
document processing during the gap between scanner queuing and processor
completion.
**Key Changes:**
1. **Placeholder Helper Functions** (`vector/placeholder.py`):
- `write_placeholder_point()` - Creates zero-vector placeholder when queuing
- `query_document_metadata()` - Queries for existing entry (placeholder or real)
- `delete_placeholder_point()` - Removes placeholder before writing real vectors
- `get_placeholder_filter()` - Filters placeholders from user-facing queries
2. **Scanner Updates** (`vector/scanner.py`):
- Replace `indexed_at` comparison with `modified_at` comparison
- Write placeholder before queuing each document
- Query per-document metadata instead of bulk-querying indexed_at
- Fixes bug where files were resubmitted every scan cycle
3. **Processor Updates** (`vector/processor.py`):
- Delete placeholder before upserting real vectors
- Ensures no duplicate points in Qdrant
4. **Query Filters** (all search files):
- Add `get_placeholder_filter()` to all user-facing queries
- Ensures placeholders never appear in search results or visualizations
- Applied to: bm25_hybrid.py, semantic.py, viz_routes.py, algorithms.py
**Architecture:**
- Placeholders use zero vectors with dimension from embedding service
- Payload includes `is_placeholder: True` flag for filtering
- Status field tracks: "pending", "processing", "completed", "failed"
- Deterministic UUIDs using uuid5 for consistent point IDs
**Impact:**
- Eliminates duplicate processing of same documents
- Fixes race condition where long-running documents get queued multiple times
- Prevents scanner from resubmitting files every scan cycle
- Maintains clean separation between in-flight and indexed documents
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- scanner.py: Use file_info['id'] as doc_id instead of file_path
- scanner.py: Pass file_path in DocumentTask for content retrieval
- processor.py: Store file_path in Qdrant payload for later lookup
- context.py: Add _get_file_path_from_qdrant() to resolve file_id → file_path
- context.py: Update get_chunk_with_context() to handle file ID resolution
This makes the system resilient to file renames since file IDs are stable
identifiers in Nextcloud, while file paths can change.
This commit addresses multiple issues with async operations, PDF metadata
extraction, and type safety in document processing and search.
## Async/Await Fixes
- processor.py:259 - Added await for chunker.chunk_text(content)
- processor.py:270 - Added await for bm25_service.encode_batch(chunk_texts)
- tests/unit/test_document_chunker.py - Converted all 12 test methods to async
## PDF Metadata Enhancement
- pymupdf.py:143 - Added file_size metadata extraction
- pymupdf.py:145-206 - Refactored to extract text page-by-page
- Manually loop through pages instead of using page_chunks=True
- Generate page_boundaries metadata for precise page tracking
- Works around pymupdf.layout.activate() breaking page_chunks=True
- processor.py:32-66 - Added assign_page_numbers() helper function
- Assigns page numbers to chunks based on overlap with page boundaries
- Handles chunks spanning multiple pages
- processor.py:298-300 - Call assign_page_numbers() for PDF files
## Type Safety Fixes
- bm25_hybrid.py:184 - Removed int() conversion of doc_id
- semantic.py:131 - Removed int() conversion of doc_id
- viz_routes.py:275 - Removed int() conversion of doc_id
- Added comments documenting that doc_id can be int (notes) or str (file paths)
## Testing
- All 18 tests passing (12 unit + 6 integration)
- No type errors in modified files
- Container logs show successful processing
- Vector viz searches working correctly
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
This commit addresses critical performance issues with vector visualization
search (reducing time from 40s to ~2s) and improves result visualization
through better visual encoding.
## Performance Fixes
### 1. Fix blocking sleep in retry decorator (base.py:51)
- Changed `time.sleep(5)` to `await anyio.sleep(5)` in @retry_on_429
- Prevents entire event loop from freezing during rate limit retries
- Impact: Reduced search time from 22s to 16s initially
### 2. Add concurrency limiting for verification (verification.py:77-93)
- Added `anyio.Semaphore(20)` to limit concurrent HTTP requests
- Prevents connection pool exhaustion (RequestError) from 90+ simultaneous requests
- Fixes false filtering (was filtering 77/90 results incorrectly)
- Note: Semaphore still in code but verification removed from viz endpoint
### 3. Remove unnecessary verification from viz endpoint (viz_routes.py:483-486)
- Visualization only needs Qdrant metadata (title, excerpt), not full content
- Verification only required for sampling (LLM needs full note content)
- Impact: Reduced search time from 43.7s to ~2s (final fix)
### 4. Restore streaming scanner pattern (scanner.py)
- Process notes one-at-a-time using async generator
- Avoids loading all notes into memory
## Visualization Improvements
### 5. Result-relative score normalization (viz_routes.py:489-504)
- Normalize scores within result set: best=1.0, worst=0.0
- Removes arbitrary RRF normalization (theoretical max didn't make sense)
- Makes visual encoding meaningful regardless of algorithm scores
### 6. Power scaling for marker sizes (userinfo_routes.py:743)
- Changed from linear `8 + (score * 12)` to power `6 + (score² * 14)`
- Creates dramatic visual contrast: 0.0→6px, 0.5→9.5px, 1.0→20px
- Combined with opacity (0.2-1.0) for clear visual hierarchy
### 7. Multi-channel visual encoding (userinfo_routes.py:740-745)
- Size: Exponentially scaled with score²
- Opacity: Linear 0.2-1.0 (keeps all points visible)
- Color: Viridis gradient (blue→yellow)
- Effect: Top results are large/bright/opaque, context results small/dim/transparent
## Result
- Search time: 40s → ~2s (20x faster)
- Visual contrast: Subtle → dramatic (clear result hierarchy)
- No arbitrary cutoffs: All results visible, best naturally highlighted
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Replace asyncio primitives with anyio equivalents throughout the codebase
to establish a single async pattern. This provides better structured
concurrency with automatic cancellation on errors and aligns with the
pytest anyio configuration.
Changes:
- hybrid.py: Replace asyncio.gather() with anyio task groups
- token_broker.py: Replace asyncio.Lock() with anyio.Lock()
- storage.py: Replace asyncio.run() with anyio.run()
- app.py: Replace tg.start_soon() with await tg.start() for task status
- processor.py: Add task_status parameter for structured startup
- scanner.py: Add task_status parameter for structured startup
- CLAUDE.md: Update async/await patterns guidance
The change from start_soon() to await tg.start() enables proper task
initialization signaling, ensuring background tasks are ready before
proceeding. This follows anyio best practices for structured concurrency.
All 118 unit tests pass with the new implementation.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Simplifies the OpenTelemetry tracing setup by removing the redundant
OTEL_ENABLED flag and using the presence of OTEL_EXPORTER_OTLP_ENDPOINT
to determine if tracing should be enabled. This follows the standard
OpenTelemetry environment variable conventions more closely.
Changes:
- Remove OTEL_ENABLED/tracing_enabled flag in favor of checking if
OTEL_EXPORTER_OTLP_ENDPOINT is set
- Add OTEL_EXPORTER_VERIFY_SSL configuration option for OTLP endpoints
with self-signed certificates (defaults to false for development)
- Move HTTPXClientInstrumentor initialization to module level to ensure
httpx calls are traced across all Nextcloud API requests
- Add tracing spans to vector sync operations (scan_user_documents)
- Fix authorization header logging to only warn about missing headers
in OAuth mode (BasicAuth mode doesn't use Authorization headers)
- Update observability documentation to reflect simplified configuration
- Refactor Dockerfile to use --no-editable flag for uv sync
Breaking changes:
- OTEL_ENABLED environment variable is removed
- Tracing is now automatically enabled when OTEL_EXPORTER_OTLP_ENDPOINT
is set
Migration guide:
- Remove OTEL_ENABLED=true from environment configuration
- Tracing will be enabled automatically if OTEL_EXPORTER_OTLP_ENDPOINT
is configured
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
The Nextcloud Notes API intentionally returns all note IDs (with only 'id'
field) in the last chunk to enable deletion detection. Without using the
pruneBefore parameter, this causes duplicates - all notes appear with full
data in chunks, then again with minimal data in the last chunk.
This commit implements proper pruneBefore support:
- NotesClient.get_all_notes() now accepts prune_before timestamp parameter
- Scanner calculates max(indexed_at) from Qdrant to use as prune threshold
- Only notes modified after this timestamp are sent with full data
- Deduplication logic handles the API's deletion detection pattern
- Significantly reduces data transfer for incremental syncs
The behavior is documented in Notes API v1 spec - this is not an API bug,
but a feature we weren't utilizing correctly.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
