pediatric-ai-scribe-v3/docs/architecture.md
Daniel a505244b97
Some checks failed
Forgejo Android APK / Root app tests (push) Successful in 47s
Forgejo Docker Build / Root app tests (push) Successful in 45s
Forgejo Android APK / Build signed APK (push) Successful in 2m8s
Forgejo Docker Build / Build Docker image (push) Successful in 10s
Forgejo Docker Build / Deploy to the host (push) Failing after 0s
refactor: remove the embedding settings, whose only consumer is gone
Embeddings existed here for Learning Hub semantic search — the card said
so itself. Learning Hub was removed, and nothing took its place: the
clinical corpus is embedded by the indexing service, not by this app.
What was left was a settings page that configured a model, tested it,
reported its dimensions, and fed nothing.

src/utils/embeddings.js had exactly one importer, src/routes/adminConfig
.js, which used it for the three routes this deletes. Outside those, the
only mentions of embedding in the server were a comment and a settings
prefix.

Gone: the module, its three admin routes, the dimension probe, the
Discover & test kind and its two panels, the admin.js block behind them,
the embeddings. prefix from both the writable-settings allowlist and the
lockdown list (it can no longer be written at all, so locking it says
nothing), and docs/embeddings-setup.md, which documented Learning Hub
search end to end.

'embedding' stays in NON_CHAT_MODES — that is the filter keeping
embedding models out of the chat-model list, and the gateway still
serves them.

Docs still describe nine /api/learning endpoints that no longer exist,
left from the Learning Hub removal. Not touched here; that is its own
subject.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
2026-09-12 21:47:09 +02:00

265 lines
12 KiB
Markdown

# Architecture
Self-hosted clinical documentation platform. Dockerized Node.js server, PostgreSQL, Redis, and vanilla-JS SPA. No build step on the frontend.
## Stack
| Layer | Technology |
|---|---|
| Runtime | Node.js 24 (Alpine, digest-pinned) + Express 4 |
| Database | PostgreSQL 16 via the digest-pinned `pgvector/pgvector:pg16` image |
| Cache / state | Redis for operational cache, prompt suggestions, and queue groundwork |
| Frontend | Vanilla JavaScript SPA, service-worker cache |
| Mobile | Capacitor 6 wrapper (Android + iOS) |
| Container | Docker Compose (app + db + Redis) |
| Observability | Prometheus metrics at `/metrics`; structured app logs in files, Postgres, and optional Loki |
| Reverse proxy | External (Caddy, Nginx, Traefik — any) |
## Repository layout
```
server.js # Express entry
Dockerfile # node:24-alpine base, plus pandoc, python3/python-pptx/python-docx, poppler
docker-compose.yml # app + postgres
migrations/ # node-pg-migrate files (versioned)
scripts/
maintenance.js # REINDEX / collation-drift CLI
release.sh # semver bump + tag + push
src/
db/
database.js # pg pool, idempotent baseline init, helpers
migrate.js # programmatic node-pg-migrate runner
middleware/
auth.js # JWT + session-table validation, sliding idle
logging.js # request log
utils/
ai.js # callAI() multi-provider router
models.js # model registry + server-side whitelist
prompts.js # prompt templates (DB-overridable)
crypto.js # AES-256-GCM (PHI at rest)
passwords.js # argon2id with bcrypt fallback + rehash
sessions.js # token hashing, UA parser, session-id gen
platform.js # isMobileClient() detection
redact.js # PHI redactor for audit details
auditQueue.js # batched audit/api/access log writer
fileType.js # magic-byte upload verification
promptSafe.js # <UNTRUSTED_*> LLM prompt wrapper
logger.js # audit/api/access + Loki shipper
errors.js # generic 500 responder
sttProvider.js, ttsProvider.js # speech-to-text and text-to-speech routing
documentExport.js # pptx/docx/pdf export
slideSpec.js, docSpec.js # markdown -> typed spec for the renderers
deckSchema.js, deckBuild.js # the deck a presentation is designed as
deckReview.js # optional vision pass over a rendered deck
routes/ # Express routers (auth, hpi, soap, patient education, …)
public/ # SPA
index.html # shell, loads components on demand
sw.js # service worker (cache shell, network-first API)
js/ # vanilla JS modules, no build step
components/ # per-tab HTML fragments
css/styles.css
mobile/ # Capacitor wrapper
capacitor.config.json # appId com.pedshub.scribe
src/ # launcher (server-URL picker)
android/ # generated AS project + native Java
.forgejo/workflows/
android-apk.yml # signed APK on tag push; optional Play upload
docker-build.yml # Forgejo registry Docker image build
.github/workflows/
auto-version.yml # conventional-commits → semver bump → tag
android-release.yml # legacy GitHub tag APK release path
docker-publish.yml # multi-arch image on tag push
version-bump.yml # manual dispatch override
build-apk.yml # legacy TWA APK
```
## Request pipeline
```
request
→ helmet (CSP, HSTS, X-Content-Type-Options, …)
→ CORS (APP_URL + CORS_ORIGINS whitelist, fail-closed in prod)
→ cookieParser
→ express.json (10 MB cap)
→ rate limiters (general 200 req/min, per-endpoint tighter on auth)
→ static (public/ with no-cache on HTML, 1h on JS/CSS; ?v=BUILD_ID busts cache per deploy)
→ route (feature routers under /api/*)
→ authMiddleware (on protected routes: JWT, DB session check, 24h idle, last_activity update)
→ handler
→ response
```
On boot, `server.js`:
- Validates `JWT_SECRET` and `DATA_ENCRYPTION_KEY` — refuses to start in production without them.
- Runs `initDatabase()` (idempotent baseline) then `node-pg-migrate` (versioned delta).
- Checks `pg_database` collation version; auto-REINDEXes + refreshes on drift.
- Reads git HEAD for `BUILD_ID`; injects `?v=BUILD_ID` into every local `/js/*.js` and `/css/*.css` reference in `index.html`.
- Registers SIGTERM/SIGINT handlers that drain the audit queue and close the pool before exit.
## Auth model
Hybrid, runtime-selected by User-Agent and `X-Client` header:
| Client | Token transport | Persistence | Idle policy |
|---|---|---|---|
| Web browser | `ped_auth` httpOnly cookie, `sameSite=lax` | 30 d maxAge (sliding) | 24 h from last write request |
| Capacitor app (`PedScribe-Android` / `Capacitor` UA) | `Authorization: Bearer <jwt>` | iOS Keychain / Android EncryptedSharedPreferences via `capacitor-secure-storage-plugin` | No server-side idle check (persistent) |
Sessions are validated against `user_sessions.token_hash` on every request. Any
logout / password-change / admin-revoke drops the row and the next request gets
401. The service worker clears its caches on logout so a stale shell never
shows PHI on a shared workstation.
Conventional-commits auto-tag workflow can push a new semver tag using a
`RELEASE_PAT` PAT secret so downstream release workflows fire on the tag push
(the default `GITHUB_TOKEN` is blocked from triggering other workflows by
design).
## Frontend
Single HTML document with `#auth-screen` and `#main-app` sections. Tabs are
per-feature HTML fragments under `public/components/` fetched on demand. JS
modules talk via `window` globals and `CustomEvent` on `document` — no
bundler, no framework. Loader order is fixed in `index.html`.
Post-note helpers such as billing suggestions, don't-miss review, and patient
education handouts are reusable browser-side actions backed by authenticated
JSON APIs. The patient education helper generates a parent-facing plain-text
draft from the edited note and keeps the clinician in the review loop before
copying or sharing.
`authFetch.js` installs a global `fetch` interceptor that treats any 401 on an
authenticated request as a signal to clear local session state and redirect to
login. A `BroadcastChannel('pedscribe-auth')` pushes that signal to sibling
tabs so logging out in one tab drops UI in every open tab.
## Docker topology
| Container | Image | Internal port | External |
|---|---|---|---|
| `pediatric-ai-scribe` | `ped-ai-local:latest` (built from repo) | 3000 | 127.0.0.1:3552 |
| `pedscribe-db` | `pgvector/pgvector:pg16` | 5432 | not exposed |
| `ped-ai-redis` | Redis | 6379 | not exposed |
Named volumes: `pgdata` (database), `scribe-logs` (filesystem audit logs), and Redis data if persistence is enabled by compose.
Application health-check polls `GET /api/health`.
A reverse proxy terminates TLS and forwards to `127.0.0.1:3552`. The app is
never bound to a public interface directly.
## Service worker
`sw.js` implements two strategies:
- **Shell assets** (`/`, `/js/*`, `/css/*`, `/components/*`) — cache-first.
- **`/api/*`** — network-first with cached fallback. Ensures fresh data online,
last-known-good when offline.
Precached on install: `index.html`, core JS, main stylesheet, login component.
Cleared on logout (`caches.keys() → caches.delete()`).
## Clinical Assistant And MCP
The clinical assistant can call an external MCP-backed retrieval service. Ped-AI remains responsible for the user workflow, provider selection, prompts, and display. MCP remains responsible for Nextcloud access, indexing, retrieval, and vector search. Clinical answer response caching is intentionally disabled; Redis is used for operational metadata and prompt suggestions, not answer reuse.
## Speech
Browser Whisper and browser-local Whisper model downloads are removed from runtime. Speech-to-text routes through LiteLLM; upstream provider choice belongs in LiteLLM config. Browser-native Web Speech remains available only when explicitly enabled by user settings and browser support.
## Operational map
The sections above describe the code. These describe the running system: who
owns what, what crosses each boundary, and where the truth lives when two
places disagree.
### Ownership
Ped-AI is a self-hosted Express application with a browser frontend, PostgreSQL storage, Redis operational state, LiteLLM model routing, and optional MCP-backed clinical retrieval.
| Area | Owner | Notes |
|---|---|---|
| Web app | Ped-AI | Auth, UI, clinical workflows, admin settings, notes, Learning Hub, bedside tools |
| Database | PostgreSQL | Users, sessions, settings, saved app data, audit/API/access logs |
| Operational cache | Redis | Prompt suggestions, lightweight state, queue groundwork; not clinical answer caching |
| Model gateway | LiteLLM | Text, speech and image model discovery and routing |
| Clinical retrieval | MCP service | Nextcloud access, indexing, search, rerank, source metadata |
| Reverse proxy | Caddy or equivalent | TLS and public routing |
### Request Flow
Normal app request:
```txt
browser
-> reverse proxy
-> Express middleware
-> auth/session check when protected
-> route handler
-> PostgreSQL/Redis/provider calls as needed
-> JSON or HTML fragment response
```
Clinical Assistant request:
```txt
browser
-> Ped-AI clinical assistant route
-> MCP semantic search for indexed clinical sources
-> Ped-AI builds grounded answer prompt
-> LiteLLM chat model
-> Ped-AI returns answer plus source metadata
-> browser renders markdown, citations, and source cards
```
Ped-AI owns the user workflow and rendering. MCP owns retrieval and indexed source metadata. LiteLLM owns model routing.
### Runtime Boundaries
| Boundary | Main Risk | Current Direction |
|---|---|---|
| Browser to Ped-AI | XSS, stale shell, session handling | Sanitized rendering, httpOnly cookie for web, cache busting |
| Ped-AI to PostgreSQL | schema drift, slow queries | migrations, maintenance checks, indexes where needed |
| Ped-AI to Redis | unavailable operational state | Redis is useful but should not hold required clinical answers |
| Ped-AI to LiteLLM | provider downtime, wrong model mode | metadata-based model discovery and timeouts |
| Ped-AI to MCP | retrieval latency/failure | explicit MCP client layer and graceful fallback messages |
| MCP to Nextcloud | stale indexed metadata | scanner/indexer updates source metadata over time |
### Source Of Truth
| Data | Source Of Truth |
|---|---|
| User accounts and sessions | Ped-AI PostgreSQL |
| Admin app settings | Ped-AI PostgreSQL `app_settings` |
| Clinical source documents | Nextcloud and MCP index |
| Clinical source title/path shown to users | MCP result metadata, especially indexed `file_path` |
| Clinical answer text | Generated per request; intentionally not cached |
| Model availability | LiteLLM metadata and configured fallbacks |
### Deployment Shape
Production usually runs:
```txt
Caddy/TLS
-> pediatric-ai-scribe container
-> pedscribe-db container
-> ped-ai-redis container
-> LiteLLM endpoint
-> MCP endpoint
```
The app should stay private behind the reverse proxy. Do not expose PostgreSQL, Redis, MCP internals, or provider keys publicly.
### Design Principles
- Keep Ped-AI stateless enough to run more than one app container.
- Keep clinical answer generation live and source-grounded; do not cache final clinical answers.
- Prefer model capability metadata over model-name regexes.
- Prefer indexed file names and paths over embedded PDF metadata for source titles.
- Keep renderer fixes narrow and tested because LLM markdown is messy.
- Keep old frontend globals working until the affected feature is intentionally converted to ESM.