Files
shared-memory/apps/web/scripts/migrate.ts
T
shadowdaoandClaude Opus 4.7 077d0a0825 feat: Phase 1 — Authentik auth, MCP endpoint, persistent memory
End-to-end Phase 1 of shared-memory: a logged-in Authentik user can sign
into the Web UI (/me debug page), and an MCP client with an Authentik-
issued bearer token can call memory.write / memory.list / memory.get /
memory.delete plus project.identify against /api/mcp.

Stack:
- Next.js 15 (App Router) + React 19 + TypeScript, pnpm workspaces
- Drizzle ORM + Postgres 16 + pgvector + pg_trgm
- Auth.js v5 with Authentik provider (Web UI)
- jose + Authentik JWKS for MCP bearer-token validation
- JSON-RPC 2.0 dispatcher implementing the MCP wire protocol over plain
  HTTP POST (hand-rolled to fit Next.js App Router; switches to SSE in a
  later phase if server-initiated events are needed)
- bge-small embeddings sidecar deferred to Phase 2; the schema already
  reserves the vector(384) column + IVFFlat index, FTS via a STORED
  tsvector column, and the visibility enum (private/shared/team) so
  cross-user memory sharing can be added without a future migration

Deployment supports two modes (set in .env, never committed):
- Behind an external reverse proxy (HAProxy / nginx / Cloudflare Tunnel /
  Traefik) — DEFAULT; the app exposes APP_PORT on the host with
  X-Forwarded-* trusted, no in-container TLS
- Built-in TLS via Caddy — opt-in with `docker compose --profile tls up`

Discovery endpoint at /.well-known/oauth-protected-resource (RFC 9728)
points MCP clients at the Authentik authorization server after a 401.

README walks through both Authentik providers (Web UI + MCP resource
server), the audience scope mapping, redirect URIs, and includes a worked
HAProxy config snippet.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-15 07:04:11 -07:00

66 lines
1.9 KiB
TypeScript

/**
* Run pending SQL migrations from ./drizzle in lexical filename order.
*
* Lightweight runner — drizzle-kit's TS migrator doesn't handle the raw SQL
* features we need (pgvector, generated columns), so we manage migration
* state ourselves in `_migrations` and apply files as plain SQL.
*/
import { readFile, readdir } from "node:fs/promises";
import { dirname, join } from "node:path";
import { fileURLToPath } from "node:url";
import postgres from "postgres";
const __dirname = dirname(fileURLToPath(import.meta.url));
const MIGRATIONS_DIR = join(__dirname, "..", "drizzle");
async function main() {
const url = process.env.DATABASE_URL;
if (!url) {
console.error("DATABASE_URL is not set");
process.exit(1);
}
const sql = postgres(url, { max: 1, prepare: false });
try {
await sql`
CREATE TABLE IF NOT EXISTS "_migrations" (
"id" serial PRIMARY KEY,
"name" text NOT NULL UNIQUE,
"applied_at" timestamptz NOT NULL DEFAULT now()
)
`;
const files = (await readdir(MIGRATIONS_DIR))
.filter((f) => f.endsWith(".sql"))
.sort();
const applied = new Set(
(await sql<{ name: string }[]>`SELECT name FROM "_migrations"`).map((r) => r.name),
);
for (const file of files) {
if (applied.has(file)) {
console.log(`✓ ${file} (already applied)`);
continue;
}
const body = await readFile(join(MIGRATIONS_DIR, file), "utf8");
console.log(`→ ${file} (applying)`);
await sql.begin(async (tx) => {
await tx.unsafe(body);
await tx`INSERT INTO "_migrations" (name) VALUES (${file})`;
});
console.log(`✓ ${file}`);
}
console.log("Migrations complete.");
} finally {
await sql.end({ timeout: 5 });
}
}
main().catch((err) => {
console.error("Migration failed:", err);
process.exit(1);
});