- hooks: document why user_id in metadata is safe — it stays tenant-local
(the CP rollup aggregates GROUP BY (day, metric) into usage_daily, which
has no metadata column, so it never reaches Stripe) and is retained to
keep Deck #67's future per-user attribution derivable from the app DB.
- migration: instantiate the SQLite-side column types (sa.Text() etc.) for
visual parity with the instantiated Postgres types.
- tests: assert the WARNING contract in the unserializable-metadata test
too; add an autouse fixture that resets UsageEventStore._shared_instance
so a stray shared() call can't leak across tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- remove accidentally-committed .claude/scheduled_tasks.lock (Claude Code
runtime artifact swept in by `git add -A`) and gitignore it; the rest
of .claude/ stays tracked.
- store: cache UsageEventStore.shared() as a process-wide instance so the
hot search path doesn't allocate a fresh wrapper per metered query (the
wrapper is stateless beyond its storage handle).
- hooks: pass enabled=True directly (the outer guard already confirmed
the flag) instead of re-reading settings.usage_metering_enabled.
- migration: document the no-TTL retention design (control-plane rollup
owns the lifecycle; the data plane only appends).
- tests: assert the best-effort error path logs at WARNING (observability
contract).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- store: add optional `enabled` param to record_usage_event so hot-path
callers (nc_semantic_search) pass the already-resolved flag instead of
forcing a second uncached Settings build (ADR-024); falls back to
get_settings() when None so the store stays self-gating for standalone
use.
- hooks: thread enabled= through both call sites; bump the outer
shared()/construction failure log from debug → warning so "metering
enabled but no billing data" is visible at the default INFO level.
- migration: instantiate postgresql.JSONB() to match the sibling
TIMESTAMP(timezone=True) column.
- tests: fix the misleading "asyncpg returns JSONB as a JSON string"
comment; add occurred_at dialect round-trip test and an enabled-param
short-circuit test.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Deck #67 data-plane slice: tenant Pods record billable operations
(embedding queries, pages/chunks embedded) into an app-DB usage_events
table that the control plane later pulls read-only into the billing
ledger and syncs to Stripe Meter Events.
- migration 007: usage_events table (Postgres TIMESTAMPTZ/JSONB/UUID
with portable SQLite fallbacks), indexed (occurred_at, metric) for the
CP rollup's per-day range scan + GROUP BY metric.
- UsageEventStore: best-effort, flag-gated writer reusing the shared
RefreshTokenStorage engine; ON CONFLICT (event_id) DO NOTHING for
idempotent retries; dialect-branched occurred_at bind. All work
(incl. metadata JSON encode) is swallowed so a metering failure never
surfaces to the user op.
- USAGE_METERING_ENABLED flag (default off) wired through Settings +
env map; off-path touches no storage, so OSS self-hosters get an empty
table and zero write overhead.
- two recording hooks: embeddings_queries (per nc_semantic_search, which
nc_semantic_search_answer reuses) and pages_chunks (after dense
embedding succeeds, covering both in-process and procrastinate paths).
- storage.acquire()/.dialect public seams so the sibling store doesn't
reach into the underscored internal.
- tests parametrized over SQLite + Postgres: flag-off no-op, roundtrip,
ON CONFLICT dedup, JSON/NULL metadata, and the best-effort swallow of
both DB errors and unserializable metadata.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address claude-review round 4 on PR #868: tighten the assign_page_numbers
guard from `page_boundaries is not None` to a truthy check, so a PDF with an
empty boundary list no longer enters the trace span and fires the alarming
"NO page numbers assigned" warning for a harmless no-op.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address claude-review round 2 on PR #868:
- Extract the use_page_aware branching into a pure `should_use_page_aware`
helper and cover the (doc_type, page_boundaries, page_aware_setting) matrix
in tests/unit/test_processor_routing.py (file+boundaries+enabled, empty
list, None, non-file doc types, disabled setting).
- Clarify the PageAwareChunker.chunk_text no-boundaries comment: the processor
pre-filters via should_use_page_aware, so that branch is a direct-call safety
net, not a production indexing path.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address claude-review round 1 on PR #868:
- use_page_aware now gates on `bool(page_boundaries)` instead of
`is not None`, so a PDF that yields an empty boundary list takes the
char-based path explicitly (assign_page_numbers no-ops on []) rather than
the page-aware chunker's no-boundaries fallback. Same result, clearer intent.
- add test_oversized_page_with_leading_whitespace_offsets, exercising the
start+start_index offset path for an oversized page whose sub-chunks have
leading whitespace.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add PageAwareChunker, which splits paginated documents (PDFs) on page
boundaries first and only character-splits pages larger than chunk_size.
No chunk spans a page boundary, so page_number is always exact and stored
excerpts never lead with a neighbouring page's text. When chunk_size is at
least the largest page, this yields exactly one chunk per page: a
predictable vector count (== page count), a flat per-page embedding cost,
and zero cross-page overlap duplication.
Gated by DOCUMENT_CHUNK_PAGE_AWARE (default true). When false, the legacy
char-based DocumentChunker + post-hoc assign_page_numbers path runs
unchanged. Only doc_type="file" with page_boundaries (PDFs) takes the
page-aware path; notes/deck/news are unaffected.
Measured on a 15-page record (query "leadership award louis", target =
top-half of page 15): char-based degraded the target to dense-rank 10 at
cs=2048 (OCR) and mislabeled its page; page-aware restored rank 1 across
every fusion/modality and chunk size, with correct page labels and clean
snippets.
BREAKING CHANGE: PDFs are re-chunked page-aware by default. Existing
deployments will re-index PDF content on the next vector sync (different
chunk counts and page_number labels). Set DOCUMENT_CHUNK_PAGE_AWARE=false
to retain the previous char-based behaviour.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Tagging an existing file/folder emits only OCP\SystemTag\MapperEvent — never a
Node*Event — so tagged PDFs were previously only picked up by the hourly
scanner. Subscribe to the tag event and reconcile membership so adding/removing
the `vector-index` tag (re)indexes in near-real time.
- webhook_presets: add OCP\SystemTag\MapperEvent to the files_sync preset
(NC 32+, where MapperEvent gained getWebhookSerializable(); harmless on older
servers — it just never fires).
- webhook_parser: parse MapperEvent (objectType=files) into a path-less file
"reconcile" task. The payload carries only a fileid + tagIds (no name/path),
so assign and unassign both collapse to a reconcile.
- processor._reconcile_tag_event: resolve the fileid against the user's current
vector-index PDFs (find_files_by_tag). Present -> index with the resolved
path/etag; absent -> flip to delete. Naturally handles "an unrelated tag
changed" and a tagged folder's own fileid (no-op; the scanner still expands
folders to descendants).
- Unit tests for the parser branch and the reconcile.
The matching admin-UI preset change ships separately in the astrolabe app repo.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address PR #858 review round 3:
- document_tier1_engine / document_ocr_provider now validate + normalize via
Settings.__post_init__ _enum_fields (the repo's canonical opt-in-enum pattern;
case-insensitive) instead of dynaconf Validators. A typo now raises ValueError
at load and "Gateway" normalizes to "gateway".
- classify_from_text gates no_text_layer/bad_text_layer on ocr_frac >=
OCR_PAGE_FRACTION, matching classify_pdf -- a "fast"-routed doc with a few junk
pages no longer emits a misleading flag (keeps the shadow vs hot-path
classification metrics consistent).
- build_ocr_backend warns when an EXPLICIT provider is misconfigured
(gateway without EMBEDDING_GATEWAY_URL, mistral without MISTRAL_API_KEY)
instead of silently returning None.
- Pypdfium2FastProcessor.health_check probes the import; documented why
OcrProcessor.health_check is unconditionally True (lazy per-tenant backends).
- Removed the leftover per-boundary / per-chunk debug logging loops.
Tests: enum normalization + rejection for the two new settings.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address PR #858 review:
- 🔴 OcrProcessor now resolves its backend once and reuses it. Rebuilding per
call created a fresh GatewayTokenProvider each time -- discarding its M2M-token
cache, so every OCR'd document fetched a new token -- and a new Mistral client.
- 🔴 build_ocr_backend uses explicit ValueError (not assert, which is stripped
under `python -O`) for the gateway M2M triple.
- PIPELINE_TIER in the Qdrant payload now reflects the tier that actually
produced the doc: the registry stamps result.metadata["pipeline_tier"] and the
processor reads it (was hardcoded "fast", wrong for OCR/structured).
- Escalation now requires classification.page_count > 0, so a zero-page
(empty/corrupt) PDF isn't pointlessly sent to OCR; documented that a fast
FAILURE (encrypted/unopenable) is a hard failure and is not OCR-escalated.
- Documented the OCR page_boundaries separator-attribution choice.
- Downgraded the per-document page-boundary / page-assignment INFO logs to debug.
New tests: zero-page no-escalation, pipeline_tier stamping.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Replaces single-engine pymupdf4llm extraction with a tiered pipeline (Deck #205,
follows the tier-0 classifier #855). pypdfium2 becomes the default and only
hot-path PDF extractor; pymupdf4llm is deprecated to a rollback toggle.
Why: pymupdf4llm's O(n^2) find_tables drove the OOM (#852) and the form-PDF
parse timeouts (#856), carries AGPL/commercial licensing liability, and -- per
the benchmarks -- recovers near-zero usable tables on the real corpus. pypdfium2
(Apache/BSD) extracts the same text far faster (Student 1a.pdf: 120s timeout ->
0.2s) with no table-detection bomb.
- document_processors/pypdfium2_fast.py: tier-1 "fast" processor emitting text +
exact page_boundaries (the pdf_highlighter contract). pymupdf processor is now
tier "structured" (the rollback engine), registered but not default.
- registry: tiered routing in ProcessorRegistry. tier-1 fast extracts, then
classification is DERIVED from that text (classifier.classify_from_text -- no
PDF re-open), records the classification metrics, and escalates scanned /
no-text-layer docs to the "ocr" tier when document_ocr_enabled (default off;
no provider yet, so fast is terminal). Wires record_document_escalation + the
real "escalated" span attribute (was hardcoded False).
- Removes the separate _shadow_classify pass from vector/processor.py -- it
re-opened every PDF and re-extracted text (~0.5-1.3s/doc of pure duplicated
CPU that lowered throughput); classification now rides the tier-1 extraction.
- Settings: document_tier1_engine ("pypdfium2" default | "pymupdf" rollback,
enum-validated), document_ocr_enabled (default false).
Tests: pypdfium2 extractor, registry tiering (fast routing, rollback, classify
recording, OCR escalation on/off), classify_from_text. Full unit suite green.
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>
Address PR #855 round 2:
- 🔴 _shadow_classify swallowed all exceptions at DEBUG, so a systematic
failure (pymupdf bug, memory pressure) is invisible at LOG_LEVEL=INFO and
trips SonarQube S2221/S5754. Log at WARNING instead (still best-effort --
indexing is unaffected).
- classifier: use `with pymupdf.open(...) as doc` instead of manual try/finally.
- tests: release the Pixmap's native memory (del pix) in the image fixtures.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
First step of the tiered document-processor effort (Deck #203): a cheap, local
pre-pass that recommends which extraction tier a PDF should start in, emitting
metrics WITHOUT changing routing yet -- so we gather per-tenant doc-mix data
before turning escalation on.
document_processors/classifier.py: classify_pdf(content) -> DocClassification.
Page-sampled (bounded on large docs), <~1s. Cheap signals only -- text-layer
chars, a text-quality score (catches the "Student 147" failure where a text
layer exists but is mashed/space-less junk), and image coverage. A page that is
mostly a raster image routes to OCR: its content (handwriting, stamps) isn't in
any text layer. Deliberately no get_drawings/graphics-density signal -- it's
slow on the exact pages it'd flag, the hotfix's graphics_limit already makes the
parse safe, and the (future) tier-1 quality gate catches lost tables.
Validated on the sample corpus: born-digital 2-col arxiv and a digital student
record -> fast (tier 1); a scanned+handwritten form -> ocr (tier 3).
Wiring (vector/processor.py): _shadow_classify runs the classifier on PDFs in a
worker thread, best-effort (never blocks/fails indexing), gated by the new
DOCUMENT_CLASSIFY_ENABLED setting. Metrics: astrolabe_document_classified_total
{recommended_tier}, astrolabe_document_classifier_flag_total{flag},
astrolabe_document_text_quality histogram.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address PR #852 round 3 (all 🟡, no blockers):
- config: DOCUMENT_PARSE_TIMEOUT_SECONDS is now float (default 120.0) so a
fractional value is honoured rather than silently stored in an int field;
matches anyio.move_on_after's float seconds.
- _isolation: comment that a clean rlimit MemoryError leaves the worker alive
in anyio's pool (vs the SIGKILL/BrokenWorkerProcess path that respawns) --
acceptable since RLIMIT_AS caps virtual address space, not RSS.
- processor: note the `if indexed is False` is a deliberate identity check --
a successful index (incl. dedup hit) returns None and must not be mistaken
for a parse failure.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address PR #852 round 2:
- config: DOCUMENT_PDF_GRAPHICS_LIMIT validator is now gte=1 (pymupdf4llm treats
0 as "no cap", which would re-expose the OOM); documented the zero semantics
and that the per-worker mem rlimit needs a pod restart to change.
- processor: annotate `_index_document -> bool | None` and document the contract
so the `if indexed is False` check is explicit/type-checkable.
- tests: add the RLIM_INFINITY-hard branch assertion for _apply_mem_limit
(soft==target, hard stays unbounded).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Address PR #852 review:
- pymupdf.py: the metadata `doc` was only closed on the PdfParseFailed and
success paths, so a failure in `_extract_metadata`/`mkdir`/`get_settings`
leaked it. `doc` is only needed for metadata + page_count (the heavy parse
works from `content` bytes in the worker), so open it, read metadata, and
close it immediately under try/finally; drop the two later doc.close() calls.
- processor.py: a permanent parse failure early-returned from `_index_document`,
after which `process_document` still recorded record_qdrant_operation("upsert",
"success") + record_vector_sync_processing(success) -- counting an OOM/timeout
bomb as astrolabe_documents_indexed_total{status="success"}. `_index_document`
now returns False on that path and the caller skips the success metrics (the
failure is already recorded via document_parse_failed_total + the registry's
document_parse_total{error}).
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>
- _clear_vector_sync_state also nulls shutdown_event / scanner_wake_event on
shutdown, symmetric with the stream/producer fields (the next startup rebinds
them via _wire_vector_sync_state).
- Comment that the "DocumentTask" string subscript in LocalTransport is
intentional (TYPE_CHECKING-only class; anyio ignores the runtime type arg).
- Move app.py's annotation-only IngestTransport / TaskProducer imports under
TYPE_CHECKING (the module uses `from __future__ import annotations`), keeping
only build_transport at runtime.
Refs: Deck #196
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Clear the module-singleton ingest references (task_producer,
document_send_stream, document_receive_stream) on lifespan shutdown via a new
_clear_vector_sync_state() helper, mirroring the eviction_task_group cleanup.
Defense-in-depth so a late webhook (or a module-singleton integration test)
can't touch a producer/stream backed by an already-closed resource.
- Add IngestTransport.backend_name ("memory"/"postgres") and use it in both
lifespan log lines, removing the last settings.ingest_queue read from the
background-sync setup — the lifespan no longer inspects the backend at all.
- Cover backend_name in the build_transport adapter-selection tests.
Refs: Deck #196
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- LocalTransport.run_consumers increments active_consumer_count per worker
(instead of once after the loop) so the count is accurate if a later
tg.start() raises mid-pool.
- Add LocalTransport.aclose() to explicitly close its owned send/receive stream
ends (belt-and-suspenders against unclosed-resource warnings; anyio aclose is
idempotent, and by shutdown the scanner is already winding down). Reworded the
base IngestTransport.aclose() docstring to point at the overrides.
- Inline ingest_transport.producer at the scanner/user_manager call sites,
dropping the single-use task_producer alias in both lifespan paths.
- Annotate DistributedTransport._producer explicitly as ProcrastinateTaskProducer
so the drain() coupling is visible and ty catches drift.
- Add a unit test for LocalTransport.aclose() (closes the owned streams,
idempotent).
Refs: Deck #196
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Rename the lifespan-local `transport` to `ingest_transport` in both paths so it
no longer shadows the get_app(transport=...) HTTP-transport parameter.
- Log the memory backend selection in build_transport, symmetric with the
postgres branch, so startup logs name the chosen ingest backend either way.
- Note in _wire_vector_sync_state why eviction_task_group is intentionally not
set there (it only exists once the lifespan's task group is running).
Refs: Deck #196
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Add IngestTransport.active_consumer_count (0 by default; LocalTransport stores
the started count) so app.py logs the worker count without re-checking
INGEST_QUEUE — the last backend-knowledge leak in the lifespan is gone.
- Document that DistributedTransport is postgres/procrastinate-specific by design
(aclose() calls ProcrastinateTaskProducer.drain()); other distributed backends
would be separate IngestTransport subclasses.
- Clarify the _wire_vector_sync_state log line (writes app.state + singleton, not
only the singleton).
- Strengthen the LocalTransport test: assert active_consumer_count transitions
0→N and that each worker receives a distinct cloned receive stream.
Refs: Deck #196
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Finish the hexagonal ports-&-adapters split started in #183. The producer side
already had a TaskProducer port + adapters, but the consumer side was
unabstracted and the INGEST_QUEUE selection leaked into a duplicated
`if use_postgres:` branch across both app.py lifespan paths.
Introduce an IngestTransport ABC (vector/queue/transport.py) that bundles the
producer with running (or not running) the in-process consumer pool, built by a
single build_transport() factory:
- LocalTransport (INGEST_QUEUE=memory): in-process anyio stream drained by an
N-worker pool that run_consumers starts.
- DistributedTransport (INGEST_QUEUE=postgres): wraps ProcrastinateTaskProducer;
run_consumers is a no-op because the consumer is the external `worker` role.
Both lifespan paths now call build_transport + _wire_vector_sync_state (new
helper that centralizes the app.state / module-singleton / browser-app writes) +
transport.run_consumers + transport.aclose(), with no INGEST_QUEUE branching and
no getattr drain probe. Adding a future backend (Redis/NATS/SQS) is one new
adapter + one build_transport arm, with no app.py or scanner change.
Preserves the single-tenant parallelism invariant (one shared multiplexed queue
+ N-worker pool, per-document not per-user dispatch) and documents it in
ADR-028. The worker CLI is unchanged (it is the external consumer).
Refs: Deck #196 (Deck #197 tracks the explicit parallelism regression test)
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Add Validator("VECTOR_SYNC_METRICS_REFRESH_INTERVAL", gte=1) so a 0/negative
value can't turn the publish loop into a busy-spin.
- Annotate count_indexed's qdrant_client param as AsyncQdrantClient.
- Add tests: exact kwarg is forwarded to qdrant count, and the placeholder
filter matches False (excludes placeholders) with chunk_index pinned to 0.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The only queue metric, mcp_vector_sync_queue_size, was updated inline by the
single-user consumer (processor_task) but never by the multi-user consumer
(oauth_processor_task). On multi-user tenants (e.g. blackbox-demo, 5 users) the
gauge read 0 for 24h while the live anyio buffer held ~2214 pending documents
(shown by /api/v1/vector-sync/status). The "indexed" figure was also a chunk
count (16039 points ≈ 480 docs) mislabelled as documents.
Publish a consumer-independent snapshot from a periodic task
(vector/metrics_publisher.vector_sync_metrics_task), spawned in BOTH lifespan
task groups (single-user and multi-user) and every queue backend:
- mcp_vector_sync_pending_documents — outstanding work via
ingest_status.get_ingest_pending() (anyio buffer depth or procrastinate
todo+doing); also keeps the legacy queue_size gauge meaningful on all paths.
- mcp_vector_sync_indexed_documents — distinct documents, counted exactly and
cheaply via the one chunk_index=0 point per document (no facet).
- mcp_vector_sync_indexed_chunks — total non-placeholder points.
The /api/v1/vector-sync/status endpoint now returns indexed_documents (distinct
docs) AND indexed_chunks separately, so documents and chunks are no longer
conflated. The publisher uses approximate Qdrant counts (every-N-seconds gauge);
the on-demand endpoint counts exactly. New knob:
VECTOR_SYNC_METRICS_REFRESH_INTERVAL (default 20s). Fail-safe: a metrics refresh
never disturbs ingest.
BREAKING CHANGE: /api/v1/vector-sync/status field `indexed_documents` now holds
the distinct-document count (was the chunk count); the chunk count moved to the
new `indexed_chunks` field. The Astrolabe UI + the nc_get_vector_sync_status MCP
tool / userinfo page are harmonized in a follow-up (Deck #195).
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>
existing_principals() ran for every doc type when seeding acl_principals.
note/news_item/deck_card IDs are per-user (not globally unique) and chunk
point IDs are user-agnostic, so on an ID collision the merge would pull in
another user's principal and cross-surface their content via the
acl_principals search branch. It was also N wasted tenant-wide scrolls on
initial sync for those types. Gate the prior-principal merge on
doc_type == "file" (the only type with cross-user dedup + globally-unique
fileid); other types seed with the indexer only.
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-4 review (non-blocking) items:
- get_procrastinate_conninfo: warn on an empty connect_timeout= value (it falls
back to the 10s default); preserve an explicit connect_timeout=0.
- Document the _doc_queueing_lock user_id invariant (NC rejects ':' in usernames).
- docs/configuration.md: note that `db downgrade` leaves procrastinate's tables
in place and how to drop them on a full teardown.
- reclaim_stalled_ingest_jobs: debug heartbeat log when nothing is stalled.
- Drop the redundant list() wrap in the integration stalled-jobs assertion.
Logging pattern: define a module-level `logger = logging.getLogger(__name__)`
and use it instead of function-local or inline getLogger(__name__) calls
(config.py, config_validators.py, tests/.../test_scope_authorization.py). The
test file's dev-only `scripts.*` import gets a ty: ignore since it resolves via
sys.path at runtime, not as an installed package.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
🟡 Document the _doc_queueing_lock ":" delimiter invariant (user_id and the
controlled doc_type enum are colon-free, so the key is collision-safe; a
future doc_type with ":" must not be added).
🟡 API pod no longer opens the procrastinate connector twice on startup: add
ProcrastinateTaskProducer.ensure_schema() (applies the schema on the
already-open pool) and have both lifespan branches build the producer then
ensure_schema — one open/close cycle, matching the worker. build_producer now
returns the concrete producer type.
🟢 Document in ports.py that a long-lived-connection producer may optionally
provide drain() (lifespan probes via getattr).
🟢 Add a unit test that a non-credential pipeline error propagates (for
procrastinate's RetryStrategy) and still closes the client via finally.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
🟡 Document why ProcrastinateTaskProducer.connect() uses `await app.open_async()`
(AwaitableContext: await opens a long-lived pool, closed by drain()) and add a
connect()/drain() lifecycle unit test (InMemoryConnector) asserting the pool is
opened by connect and closed by drain — previously untested.
🟡 get_procrastinate_conninfo: forward connect_timeout from DATABASE_URL or
default 10s so an unreachable DB can't hang worker/API startup indefinitely;
warn only on other dropped query params. + tests.
🟢 INGEST_DELETE_SUCCEEDED_JOBS (default true) makes the worker's succeeded-job
deletion configurable for audit retention.
🟢 Worker startup logs via logger.info (structured/OTel) instead of click.echo.
🟢 INGEST_STALLED_JOB_SECONDS (default 300) makes the crash-reclaim threshold
tunable for slow embedding backends; reclaim reads it per-run.
The broad `except` in _apply_ingest_queue_schema_open is kept deliberately:
procrastinate wraps psycopg errors, so narrowing to psycopg.errors.* would miss
the wrapped DDL-conflict and turn a benign concurrent-apply race into a failure;
the presence re-check re-raises genuine errors.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
🔴 nc_get_vector_sync_status reported pending=0 for INGEST_QUEUE=postgres: the
AppContext/OAuthAppContext per-session yields snapshotted the stream fields but
never forwarded task_producer, so lifespan_ctx.task_producer was always None.
Convert task_producer to a @property that reads _vector_sync_state live (like
eviction_task_group), removing the snapshot field so the yields can't drop it.
Add a regression test pinning the contract on both contexts.
🟡 Remove the unused _RECLAIM_TASK_NAME constant.
🟡 get_procrastinate_conninfo: warn + document that DATABASE_URL query params
(application_name, connect_timeout, …) are dropped.
🟡 worker: open the procrastinate App once — apply_ingest_queue_schema gains
manage_connection=False so the worker reuses its own open connector instead
of a redundant open/close before run_worker_async.
🟢 Clarify the apply-schema broad-except comment (non-race errors re-raise) and
document the deliberate Any typing in ingest_status.get_ingest_pending.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Re-architect document ingest from the shared NATS-glued document-processor to a
per-tenant, in-process model owned by nextcloud-mcp-server (Deck #183). The MCP
server now owns both sides of ingest:
- Producer (api role): the scanner defers one job per changed document into the
app's Postgres via procrastinate (queueing_lock dedup; no execution lock, so a
crashed worker can't deadlock a doc — Qdrant upserts are idempotent).
- Consumer (worker role): `nextcloud-mcp-server worker` drains the queue and runs
the existing process_document pipeline; a periodic task reclaims jobs orphaned
in `doing` by a crash.
INGEST_QUEUE selects the transport (auto: postgres when DATABASE_URL is Postgres,
else the in-process anyio queue for SQLite/dev). procrastinate manages its own
tables (applied on a fresh DB at startup and by `db upgrade`). The vector-sync
status surface reads job counts from Postgres in postgres mode. procrastinate +
psycopg3 ship in the [postgres] extra; the app's own engine still uses asyncpg
(driver unification is a follow-up handled in the rendered Helm chart).
NATS JetStream, the Postgres-queue stub, the bus status subscriber, and nats-py
are removed.
BREAKING CHANGE: the external-NATS-ingest env vars are removed
(INGEST_MODE, STATUS_BACKEND, INGEST_BUS_URL, INGEST_BUS_NUM_REPLICAS,
FACT_EVENT_EMITTER). Use INGEST_QUEUE (memory|postgres) and the `worker`
command instead. TENANT_ID is retained (no longer NATS-subject-charset-validated).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Remaining items from the PR #831 Claude review:
- processor span symmetry: add "vector_sync.total_chars" to the sparse
embedding span (already on the dense span) and drop the redundant
"embedding.batch_size" attribute from both spans — it always equalled
vector_sync.chunk_count and would mislead once batching is split.
- metrics: document the deliberate "throughput counts only on full success"
contract in record_document_parse (partial extractions flagged
success=False are counted as a parse-error but never inflate
pages/chars/bytes throughput).
- config: extract _detect_base_provider() -> (family, model) as the single
source of truth for the provider-detection priority chain, shared by
get_embedding_model_name() and get_embedding_provider_family(). Preserves
the intentional gateway asymmetry (only the family method short-circuits).
- base.py: Optional[...] -> PEP 604 `... | None`; drop now-unused import.
Behavior unchanged (get_embedding_* outputs covered by test_config.py).
Refs Deck #175, PR #831.
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>
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>
- Failed deletes no longer bump astrolabe_documents_indexed_total: the outer
except in process_document now gates doc_type on operation != "delete", so a
delete error is counted as processed-error but not as an indexing event.
Added test_failed_delete_is_processed_but_not_indexed.
- registry parse span: pass record_exception=True explicitly (matches
instrument_tool) and add a structured logger.warning on the parse-error path
(processor/tier/byte_size/duration_ms) for a Loki-aggregatable failed-parse
signal.
- test_error_does_not_increment_throughput: snapshot-before/delta pattern
instead of absolute 0.0 (counters are global singletons).
- config: document the deliberate gateway asymmetry between
get_embedding_model_name() (no gateway branch) and
get_embedding_provider_family() (short-circuits on gateway).
- Cleanup in touched scope: narrow `except (HTTPStatusError, Exception)` to
`except Exception` (drop now-unused import); convert registry signatures from
Optional[...] to `... | None`.
Refs Deck #175, PR #831.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Reviewer findings:
- Fix double-count of exhausted-retry failures: the inner final-retry branch
and the outer except both recorded a processing error. Consolidate to the
outer handler (single call site); inner branch keeps only the Qdrant-upsert
error metric. Regression test added.
- Deletes are no longer counted as indexing events: the delete success path
drops doc_type so astrolabe_documents_indexed_total is not inflated.
Regression test added.
- Reuse the already-resolved `settings` in _index_document instead of a second
get_settings() call.
- Use explicit `> 0` guards in record_document_parse / record_embedding instead
of truthiness checks.
SonarCloud:
- S1244 (BUG): replace float `==` equality in metric tests with pytest.approx.
- S5332 (hotspot): use https in the gateway-URL test fixture.
- S1192: extract the repeated "vector_sync.chunk_count" span-attribute literal
into a module constant.
Review nit: move the duplicated `_sample` test helper into a shared
`metric_sample` fixture in tests/unit/conftest.py.
Refs Deck #175, PR #831.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Make per-tier bottlenecks in the document-processing pipeline
(scan -> fetch -> parse -> chunk -> embed -> Qdrant upsert) visible via
metrics, traces, and structured logs. Today the document_processors layer
emits only a logger.info line: no metric, no span, and page counts live only
inside a log string. The single processing-duration histogram is unlabeled and
whole-document, so it cannot isolate parse vs embed vs upsert.
New astrolabe_* metric family (distinct from the mcp_* protocol metrics):
- astrolabe_document_parse_{duration_seconds,total} + pages/chars/bytes counters
recorded at the ProcessorRegistry.process() boundary (covers all current and
future processors uniformly)
- astrolabe_document_escalation_total (dormant; tiered-pipeline readiness)
- astrolabe_embedding_{duration_seconds,requests_total,chunks_total,chars_total}
- astrolabe_document_chunks_total, astrolabe_documents_indexed_total{source,status}
Tracing: new document_processor.parse child span + enriched embed/chunk span
attributes (provider/model/batch_size/chunk_count). Structured logs gain a
consistent field vocabulary (doc_id, doc_type, processor, tier, pages, chars,
byte_size, chunks, duration_ms, status) so Loki can aggregate without regex.
Tier-readiness: processor/tier are labels from day one and a tier property is
added to DocumentProcessor, so adding docling/OCR/LLM tiers later is additive
(new label values, never new metrics). Tenant comes from the kube namespace
label; mime_type/model are span attributes only (cardinality). Existing
mcp_vector_sync_*/mcp_qdrant_* are left untouched.
Refs Deck #175 (superset of #173 Phase 2). Dashboard/recording-rules follow-up
tracked on #175 for homelab-argocd.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
