Address round-1 review on PR #914:
- Attribute the OCR hop in a fast->structured->ocr inline cascade to
from_tier="structured" (not a second "fast" escalation), so
astrolabe_document_escalation_total per-tier counts stay accurate.
- Add test_inline_fast_structured_ocr_cascade pinning that two-hop path and the
metric attribution.
- Note in classify_from_text that its doc-level control ratio is over full_text
(all pages), not the sampled subset classify_pdf uses.
- Clarify that corrupt_glyphs never lands in the suppressed-escalation counter.
- Dedupe the glyph-corrupt test string into tests/fixtures/glyph_corruption.py.
- Use pytest.approx for the control-char-ratio zero checks (SonarCloud S1244).
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>
Adds a `DATABASE_URL` setting that lets `RefreshTokenStorage` run against
any SQLAlchemy async backend, primarily `postgresql+asyncpg://...` for
HA k8s deployments. Default behavior is unchanged: when `DATABASE_URL` is
unset the server falls back to the existing `TOKEN_STORAGE_DB` path /
ephemeral SQLite tempfile.
Why
---
Today every MCP pod needs its own PVC to hold the SQLite file, which
pins the Deployment to one replica and blocks horizontal scaling. With
this change, operators can point all replicas at a shared Postgres
(CNPG, RDS, etc.) and the pods become stateless. Encryption stays in
Python (Fernet); the database only sees ciphertext.
What changed
------------
- `config.get_database_url()` resolves DATABASE_URL → TOKEN_STORAGE_DB →
ephemeral tempfile in that priority order.
- `RefreshTokenStorage` builds a process-shared `AsyncEngine` in
`initialize()`. SQLite gets NullPool; Postgres gets pool_size=10,
max_overflow=20, pool_pre_ping=True. 30 aiosqlite call sites adapted
via a thin `_DBConn` / `_Cursor` / `_Row` / `_ExecuteCtx` shim so
existing method bodies need no churn beyond the connection
context-manager swap.
- 7 `INSERT OR REPLACE` statements rewritten as portable
`INSERT ... ON CONFLICT (...) DO UPDATE` (SQLite ≥ 3.24, Postgres ≥ 9.5).
- `sqlite_master` legacy-detection lookup replaced with SQLAlchemy
inspector so the path works against either backend.
- File-permission hardening + parent-dir creation gated on
`is_sqlite_url(...)` — centralized backends manage their own filesystem.
- Alembic migrations 001/002/003/005 converted from raw `op.execute(SQL)`
to portable `op.create_table()` / `op.create_index()` with SQLAlchemy
types. All timestamp columns are `sa.BigInteger` so Postgres allocates
BIGINT (unix epochs don't fit in INT4). SQLite treats BIGINT as
INTEGER, so existing deployments at revision 006 see no schema drift.
- `migrations.py` + CLI take URLs; `db {upgrade,downgrade,current,history}`
gain `--database-url / -u` alongside the legacy `--database-path / -d`.
`get_current_revision()` uses SQLAlchemy inspector instead of raw
sqlite3, so the CLI works against Postgres too.
- `docker-compose.yml` adds a `postgres-test` service under the
`postgres` profile (pinned `postgres:16-alpine` digest) for
integration testing.
- Unit storage tests parametrized over backends via shared
`tests/fixtures/storage_backend.py` — every test in
`test_app_password_storage.py` and `test_webhook_storage.py` runs
once per backend that is available. Postgres is opted in by
`TEST_DATABASE_URL`.
- New `tests/integration/test_storage_postgres.py` (5 tests, marked
`postgres` + `integration`) covers refresh-token, app-password,
OAuth-session, webhook, and audit-log paths end-to-end on Postgres.
- New `docs/ADR-026-pluggable-database-backend.md` records the decision;
`docs/configuration.md` documents `DATABASE_URL` with examples.
Out of scope
------------
- No SQLite → Postgres data migration tool (clean cutover; tokens reissue
on next login, webhooks re-register on next sync tick).
- This repo does not provision Postgres. The matching helm chart change
lives in cbcoutinho/helm-charts (database.url / existingSecret values).
Verification
------------
- `uv run pytest tests/unit/` — 1012 passed, SQLite path unchanged.
- `docker compose --profile postgres up -d postgres-test`
- `TEST_DATABASE_URL=... uv run pytest tests/integration/test_storage_postgres.py -m postgres -v`
— 5 passed.
- `TEST_DATABASE_URL=... uv run pytest tests/unit/test_app_password_storage.py
tests/unit/test_webhook_storage.py` — 50 passed (25 per backend).
- `uv run ruff check && uv run ruff format --check && uv run ty check -- nextcloud_mcp_server` — clean.
Tracked on Astrolabe Cloud POC board, card #99.
---
_This PR was generated with the help of AI, and reviewed by a Human_
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Import recipes from URLs using schema.org metadata
- Full CRUD operations for recipes
- Search, categorize, and organize recipes
- Manage keywords/tags and categories
- Configure app settings and trigger reindexing
