# ADR-026: Pluggable database backend (DATABASE_URL)

## Status

Accepted — 2026-05-16

## Context

`RefreshTokenStorage` (in `nextcloud_mcp_server/auth/storage.py`) holds all
of the MCP server's persistent state: refresh tokens, OAuth client
credentials, OAuth sessions, browser sessions, app passwords, login-flow
sessions, audit logs, and webhook registrations. Until this ADR it was
backed by a single SQLite file, with the path configured by
`TOKEN_STORAGE_DB`.

This works well for single-user deployments but blocks horizontal scaling
in Kubernetes:

- Every pod needs its own PVC (ReadWriteOnce) or a ReadWriteMany volume.
- Tokens stored on pod A are invisible to pod B, so a Service can only
  route traffic to one pod at a time.
- Restart / re-deploy cycles either drop the volume (token loss) or
  require coordinated PVC handling.
- Backup, encryption-at-rest, and multi-region replication become
  per-pod concerns rather than centrally managed DB concerns.

We needed a way for pods to be stateless and share a centralized store
without giving up the zero-config SQLite path that single-user installs and
local development rely on.

## Decision

Introduce a `DATABASE_URL` setting that accepts any SQLAlchemy async URL,
with `sqlite+aiosqlite:///...` remaining the default. The runtime keeps a
single linear migration history and a single `RefreshTokenStorage` class —
the backend is selected purely by the URL.

### Resolution order

`get_database_url()` (in `nextcloud_mcp_server/config.py`) returns:

1. `DATABASE_URL` if set — wins over everything.
2. Otherwise `sqlite+aiosqlite:///{get_token_db_path()}`, so the legacy
   `TOKEN_STORAGE_DB` env var and the process-local ephemeral tempfile
   fallback both keep working unchanged.

### Why SQLAlchemy Core + async engine, not an ABC with parallel drivers

Two alternatives were considered:

| Option | Why rejected |
|---|---|
| Define a `Storage` ABC with `SQLiteStorage` (aiosqlite) and `PostgresStorage` (asyncpg) implementations | Doubles the surface area — every schema change has to land in two backends, with two sets of migrations, two SQL dialects, two upsert idioms. Diverges over time. |
| Switch to a full SQLAlchemy ORM (declarative models) | Larger refactor; the existing explicit-SQL style is intentional and well-understood by reviewers. |
| **Keep `RefreshTokenStorage` and put SQLAlchemy Core under it** *(chosen)* | One method body per operation, one migration history (Alembic is already SQLAlchemy-based). The URL drives dialect, pool, and DDL. |

A thin compatibility shim (`_DBConn` / `_Cursor` / `_Row` in `storage.py`)
adapts the `async with aiosqlite.connect(...) as db: async with
db.execute(...) as cursor: ...` idiom to SQLAlchemy `AsyncEngine` /
`AsyncConnection`. Existing method bodies needed only their connection
context-manager swapped; `?` placeholders are rewritten to named binds on
the fly. The seven `INSERT OR REPLACE` statements were rewritten as
portable `INSERT ... ON CONFLICT (...) DO UPDATE` (SQLite ≥ 3.24, Postgres
≥ 9.5; we already require SQLite ≥ 3.35 elsewhere).

### Encryption stays in Python (Fernet), not the DB

The DB only ever sees ciphertext for sensitive columns
(`encrypted_token`, `encrypted_client_secret`, `encrypted_password`,
`encrypted_poll_token`). The Fernet key remains a `TOKEN_ENCRYPTION_KEY`
env var, applied in Python before INSERT and after SELECT. This means:

- Switching backends does not invalidate or re-key existing data.
- Postgres-level features like `pgcrypto` are not required.
- Operators rotating the encryption key still go through the existing
  Python path.

### DDL portability

All Alembic migrations were rewritten from raw `op.execute("CREATE TABLE
...")` strings to `op.create_table()` / `op.create_index()` calls with
SQLAlchemy types. Notable choices:

- All `*_at` / expiration / timestamp columns use `sa.BigInteger` —
  Postgres `INTEGER` is 32-bit and unix epochs are already past that range.
  SQLite treats `BIGINT` and `INTEGER` identically (dynamic typing) so
  this is backwards compatible.
- `BLOB` → `sa.LargeBinary` (becomes `BYTEA` on Postgres).
- `BOOLEAN DEFAULT FALSE` → `sa.Boolean, server_default=sa.false()`.
- Existing SQLite deployments are at revision `006` and skip the
  rewritten migrations entirely — content rewrites are safe.

### No data migration, no shipped Postgres

Two scope decisions worth recording:

1. **Clean cutover, no SQLite → Postgres data migration tool.** Tokens
   are reissued on the next login; webhooks re-register on the next sync
   tick. Acceptable because the ephemeral-default already implies this,
   and the data being preserved (audit logs, OAuth sessions) is either
   short-lived or reconstructible.
2. **Bring-your-own database.** The MCP server consumes a
   `DATABASE_URL`; it does not provision Postgres itself. Operators use
   CNPG, RDS, the project's existing Helm chart with a sub-chart, etc.
   The `postgres-test` service in `docker-compose.yml` exists only for
   integration tests and manual HA smoke testing — it is gated on the
   `postgres` profile and is not the recommended production pattern.

### CLI changes

The `nextcloud-mcp-server db {upgrade,downgrade,current,history}` commands
gain a `--database-url / -u` flag (env `DATABASE_URL`) alongside the
existing `--database-path / -d` (env `TOKEN_STORAGE_DB`). `-u` wins over
`-d`; both fall back to `get_database_url()`.

## Consequences

### Positive

- MCP server pods become stateless. A Kubernetes Deployment can run with
  `replicas: 3` behind a Service, with all pods pointed at the same
  Postgres URL — tokens written by pod A are immediately visible to pod B.
- Centralized DB operations (backup, restore, replication, encryption at
  rest, monitoring) are handled by the operator's existing Postgres
  infrastructure rather than duplicated per-pod.
- No regression for single-user / local-development / docker-compose
  installs — the SQLite tempfile path is unchanged and remains the default
  when `DATABASE_URL` is unset.
- Test coverage doubles automatically: every test that uses the
  `temp_storage` fixture now runs against both SQLite and Postgres when
  `TEST_DATABASE_URL` is exported.

### Negative

- One more thing operators have to think about for HA deployments
  (Postgres connection string, credentials secret, network policies).
- Adds SQLAlchemy + asyncpg to the runtime dependency set. SQLAlchemy was
  already transitively present via Alembic; asyncpg is genuinely new.
- The compatibility shim in `storage.py` is a small piece of bespoke code
  that future contributors need to understand. The alternative — rewriting
  every method body to SQLAlchemy idioms — was rejected as too risky for
  this PR but might be revisited.

### Neutral

- The Alembic migration history was content-rewritten but its revision
  graph is unchanged (still `001 → 006`), so existing SQLite deployments
  do not re-run anything.
- `TOKEN_STORAGE_DB` still works exactly as before; deployments that
  already set it require no changes.

## Related

- [ADR-022 Login Flow v2](ADR-022-deployment-mode-consolidation.md) —
  defines the per-user app password storage that this ADR centralizes.
- [ADR-002 Vector sync authentication](ADR-002-vector-sync-authentication.md)
  — explains the offline-access tokens that benefit most from HA storage.

## Verification

1. `uv run pytest tests/unit/` — SQLite path unchanged (1012 tests).
2. `docker compose --profile postgres up -d postgres-test` then
   `TEST_DATABASE_URL=postgresql+asyncpg://mcp:mcp@localhost:5433/mcp uv run pytest tests/unit/test_app_password_storage.py tests/unit/test_webhook_storage.py`
   — every test runs once per backend.
3. Manual end-to-end smoke against `mcp-login-flow` with a Postgres URL
   (commands in `/home/chris/.claude/plans/spicy-enchanting-flurry.md` →
   Verification).
4. k8s HA validation (after merge in `homelab-argocd`): `replicas: 3`,
   confirm session continuity through the Service.