Safety net for upcoming refactors:
- 26 Playwright smoke tests via @playwright/test 1.50.0 in an official
Playwright container (no host Node needed). Covers every Bedside sub-pill,
the age→weight estimator, dose calculators (seizure/sepsis/anaphylaxis/
burns/airway), and interactive widgets (lightbox, vent SVG).
- `npm run e2e` wrapper runs tests inside mcr.microsoft.com/playwright:v1.50.0-noble
on the ped-ai_default Docker network so no host port mapping is needed.
- public/e2e-harness.html + public/js/e2e-bootstrap.js load the calculators
component without the SPA auth wall (scripts external to satisfy CSP).
Server:
- server.js now re-reads public/index.html on mtime change instead of
caching at boot. Fixes the "edit HTML, restart container" friction.
- CSP upgradeInsecureRequests disabled in helmet config; Caddy still
enforces HTTPS at the reverse-proxy layer in production.
Calculators:
- Bedside tab consolidating emergency protocols (Neonatal+Apgar+NRP, Airway/RSI,
Cardiac Arrest/PALS, Respiratory, O2 & Ventilation, Status Epilepticus,
Sepsis & Fever with PECARN/Aronson/Rochester/Step-by-Step, Anaphylaxis,
Procedural Sedation, Agitation, Antiemetics, Antimicrobials, Burns with
Lund-Browder body-parts TBSA + Parkland, Toxicology, Trauma).
- Global age→weight estimator at top of Calculators tab (APLS + Best Guess).
- Pressure-time waveform SVG teaching graphic for Ventilation.
- Algorithm image lightbox (fullscreen, Esc/tap-to-close).
- Every weight-based dose shows mg/kg inline for clinician verification.
- Drug tables wrapped in overflow-x:auto for mobile.
Infrastructure:
- Pure dose math extracted to public/js/calc-math.js (dual-export Node+browser).
- 36 unit tests in test/calc-math.test.js via node:test (zero new deps).
- "npm test" added to package.json.
- Add neonatal assessment calculator: GA classification (extremely preterm through
post term), weight-for-GA percentile (AGA/SGA/LGA) using Fenton 2013 LMS data,
birth weight category (ELBW/VLBW/LBW/normal/macrosomia)
- Add DOCX support via mammoth, PPTX/ODT/EPUB via jszip in Learning Hub content
generator file upload
- Add gatewayUrl() helper for consistent API URL construction — handles
LITELLM_API_BASE with or without /v1 suffix, works with any OpenAI-compatible
gateway (LiteLLM, Bifrost, etc.)
- Fix TTS model/voice separation: discovery now tags items as MODEL or VOICE,
auto-detects provider from voice name (Vertex, ElevenLabs, OpenAI)
- Fix STT discovery to include ElevenLabs Scribe and Chirp models
- Fix TTS discovery to include ElevenLabs and Vertex voices alongside models
- Fix admin model test to bypass allowlist check (skipAllowlistCheck) so
discovered models can be tested before adding
- Fix Nextcloud token decryption in learningAI.js WebDAV browse and file import
- Fix admin embedding test to show DB model name instead of hardcoded default
- Fix admin STT test to use correct endpoint for Whisper models
- Add AI gateway migration guide to configuration docs
- Add Grafana dashboard JSON for Loki log visualization
Infrastructure only — no existing data or tables modified.
src/db/migrate.js — programmatic runner, fires at boot after
the existing idempotent initDatabase()
migrations/1744600000000... — intentionally empty example, documents
the file shape. Registered in the new
pgmigrations tracking table so it won't
rerun.
.node-pg-migraterc.json — CLI config (migrations-dir, utc naming)
docs/migrations.md — workflow + conventions
package.json — migrate:up/down/new/status npm scripts
(status is a direct pgmigrations query
since node-pg-migrate v7 lacks a status
subcommand)
src/utils/sessions.js:
- parseUserAgent now recognizes the Capacitor wrapper (UA suffix
"PedScribe-Android" / "PedScribe-iOS") and labels sessions
"PedScribe (Android)" instead of "Chrome on Android".
Going forward: schema changes go in /migrations as versioned files
with up() + down(); the inline init in database.js is the implicit
baseline for everything already in production.
Adds `npm run maint:check` (health report) and `npm run maint:reindex`
(REINDEX DATABASE + REFRESH COLLATION VERSION + ANALYZE) for post-
upgrade maintenance, modelled after Nextcloud's occ maintenance.
Documented in README.
Also relaxes postgres image from digest pin back to tag-pin
(pgvector/pgvector:pg16) — the auto-REINDEX-on-drift check in
database.js and the COLLATE "C" protection on critical indexes
make the digest pin redundant while blocking ordinary `compose
pull` updates.
- App-layer AES-256-GCM crypto helper (src/utils/crypto.js)
- Nextcloud tokens encrypted at rest; transparent migration on next use
- Audio backups encrypted at rest (version byte 0x01 envelope); legacy
rows still decrypt as-is until overwritten
- argon2id password hashing via src/utils/passwords.js with bcrypt
fallback; bcrypt hashes rehashed to argon2id on next successful login.
argon2 package is optional — server keeps running with bcrypt only
until npm install adds the native dep
- PHI redactor for audit log details (src/utils/redact.js) — strips SSN,
phone, email, DoB, long IDs; caps at 500 chars; detects note bodies
- DOMPurify (cdnjs, SRI-pinned) replaces custom regex sanitizer in
Learning Hub content rendering
- SRI integrity hashes added for Font Awesome CSS and Chart.js
- Magic-byte file-type verification on document uploads
(src/utils/fileType.js)
- Generic 500 error responses via src/utils/errors.js applied to
nextcloud and audioBackups; full detail still logged server-side
- DATA_ENCRYPTION_KEY env documented in .env.example
Deploy: requires rebuild of the container image to pick up the new
files and `npm install` (adds argon2). Existing users keep working
because bcrypt stays available and crypto helpers pass through
plaintext when the key is not yet set in dev.
- Add FAQ tab with accordion sections: Getting Started, AI & Models,
Voice & Transcription, Saving & Export, Privacy & Security,
Well Visit & Sick Visit, Learning Hub, Troubleshooting
- Documents how AI learns from physician edits (correction tracker)
- Fix FAQ accordion (CSP was blocking inline script, moved to app.js)
- Patch all 5 npm vulnerabilities: nodemailer 8.0.5, xmldom, basic-ftp,
path-to-regexp (npm audit now reports 0 vulnerabilities)
- Remove model category grouping from dropdown (flat list, no optgroups)
- Fix model dropdown dark background on options (white bg, dark text)
- Update FAQ model guidance to reflect admin-managed model selection
- Fix model search for all providers: Bedrock now falls back to built-in
list (with live ListFoundationModels attempt), Azure returns built-in list
- Add Test button on every model row (built-in, discovered, custom) that
sends a live prompt and shows response + latency in a toast
- Add TTS management section: search voices from provider API (Google TTS
voices.list, LiteLLM /v1/models, ElevenLabs /v1/voices), Set as Default
writes tts.voice/tts.model to DB, runtime respects DB override
- Add STT management section: search models from provider (Gemini, Whisper,
LiteLLM, OpenAI, local), Set as Default writes stt.model to DB, runtime
respects DB override in transcribe.js
- Add Embedding models section: search from provider (LiteLLM, Vertex,
OpenAI), Set as Default writes embeddings.model+dimensions to DB,
embeddings.js respects DB override
- Add record-and-transcribe STT test (browser MediaRecorder)
- Add TTS synthesize-and-play test (returns base64 audio)
- Add embedding generate test (shows dims + vector sample)
- Expand PUT /config/:key(*) whitelist to include tts., stt., embeddings.
- Add @aws-sdk/client-bedrock as optional dependency for live Bedrock discovery
BREAKING FIX: Browser Whisper now fully self-contained
Previous issue:
- Loaded transformers.js from cdn.jsdelivr.net
- Downloaded models from cdn-lfs.huggingface.co
- Failed in corporate/clinical networks with firewall
- Stuck at "Initializing..." with no progress
Solution:
- Bundle transformers.js library (~876KB)
- Bundle Whisper tiny.en model (~42MB)
- Serve everything from local server
- Works in ANY network environment
Changes:
- whisperWorker.js: Load transformers from /models/ instead of CDN
- Dockerfile: Download models during Docker build
- Add download script for local dev
- Add comprehensive setup documentation
Docker image size: +~42MB (one-time cost, runtime benefit)
Tested: Works on unrestricted and firewalled networks
- Raise express.json limit from 1MB to 10MB — handles large chart reviews
with many notes (50 full clinic notes ≈ 600KB, well within new limit)
- Client-side: warn user if payload >8MB, friendly toast if >30 notes
- Bump to v13.0.0
- Add Vertex AI provider (Gemini models via @google-cloud/vertexai SDK)
- Add LiteLLM proxy support (OpenAI-compatible, routes to any provider)
- Admin panel: model search/discover from provider API, enable/disable, custom models, set default
- New endpoints: /config/models/discover, /config/models/add-discovered, /config/models/default
- Updated models.js with VERTEX_MODELS and LITELLM_MODELS lists
- Updated health endpoint with vertex + litellm status
- APK: Add WAKE_LOCK, BOOT_COMPLETED, ACCESS_NETWORK_STATE permissions
- APK: Disable allowBackup for medical data security
- APK: AudioRecordingService now acquires wake lock, has stop action in notification
- Serve /.well-known/assetlinks.json for TWA domain verification
- Service worker: cache app shell, stale-while-revalidate for assets, network-first for API
- Admin model management: validate model ID format, prevent built-in conflicts, audit toggle actions, prevent disabling all models
- Bump version to v9.0.0, Docker tag to v9
OIDC/SSO:
- New /api/auth/oidc route with PKCE for secure authorization
- Supports Azure AD, Okta, Keycloak, PocketID, Google, any OIDC provider
- Admin configurable: issuer, client ID/secret, button label
- Option to disable local auth (force SSO only)
- Auto-creates users on first SSO login, links existing by email
- SSO button on login page, hidden until admin enables OIDC
Firefox:
- Show info toast on first recording that live preview requires
Chrome/Edge; server-side transcription still works in all browsers
- Add deduplication logic to prevent Chrome Speech API from repeating
sentences during long recording sessions (all 4 recording modules)
- Enable AWS Transcribe Medical with PRIMARYCARE specialty in .env
- Bump version to 8.0.0
- New src/utils/transcribeAWS.js: streams audio directly to AWS
Transcribe without requiring an S3 bucket
- Supports AWS_TRANSCRIBE_MEDICAL=true for Transcribe Medical
(better clinical accuracy: drug names, diagnoses, procedures)
- AWS_TRANSCRIBE_SPECIALTY configures specialty (default PRIMARYCARE)
- transcribe.js auto-selects AWS when AWS_BEDROCK_REGION is set,
or can be forced with TRANSCRIBE_PROVIDER=aws|openai
- Falls back to OpenAI Whisper when AWS is not configured
- Add @aws-sdk/client-transcribe-streaming as optional dependency
- Update .env.example with transcription configuration docs
- Fix word repetition: use sessionFinals pattern so each browser SR
session starts fresh; no overlap when recognition auto-restarts
- Fix HTML injection / '>' parse error: escape < > & in live transcript
innerHTML before inserting speech recognition text
- Add 24 MB blob guard: fall back to live SR transcript if audio file
is too large for Whisper API (long sessions)
- Bump version to 7.0.0, update docker-compose image tag to v7
pdf-parse (was v2, broken API):
- Downgraded to v1.1.1 — default export is a function again
- pdfParse is not a function error fixed
WebDAV file selection (style.display bug, same cascade issue):
- lh-ai-webdav-selected had inline style="display:flex" always visible
- selectWebdavFile() / deselectWebdavFile() now use element.style.display
- On select: browser div hides, selected indicator shows with file name + X
- On deselect (X): indicator hides, browser shows again
Topic context for Upload and Nextcloud tabs:
- Both tabs now have optional "Topic / context" field
- Sent to backend as 'topic' param to help AI focus the generated content
Inline refine bar (replaces window.prompt):
- Refine Body button shows/hides an amber inline input bar below generate buttons
- Enter instructions, press Apply — no browser dialog, works in all contexts
CSP: remove unsafe-inline from scriptSrc (security issue #2):
- Converted all 26 onclick= handlers in component HTML files to
data-action / data-target / data-label attributes
- Added delegated click handler in app.js for copy/speak/nc-export actions
- script-src now 'self' only; script-src-attr 'none'
WebDAV path endpoint (security issue #5):
- New POST /api/user/webdav-path (authMiddleware only, not moderator)
- nextcloud.js updated to use new endpoint
nodemailer: already at 6.10.1 (vulnerability fixed).
Delete confirmation:
- Replaced browser confirm() popup with inline red warning bar in editor
- Shows content title, Cancel and Delete buttons inline in the editor header
- Category delete uses double-click pattern with toast feedback
Login screen:
- Changed from dark blue/purple gradient to light gray background (var(--g50))
- Card now matches 404 page style: white, subtle blue shadow, indigo border
Presentation content type:
- New 'Presentation' button in CMS toolbar (green style)
- Marp markdown textarea editor (dark code editor style) shown when type=presentation
- Body/Tiptap editor hidden; Marp section shown (toggleEditorMode)
- Preview button: renders Marp HTML via @marp-team/marp-core, opens in new tab
- Download PPTX: pure-JS pptxgenjs (no Chromium), parses slides, exports .pptx
- AI generate: returns Marp markdown directly when contentType=presentation
- Body column stores Marp markdown for presentations
Backend:
- POST /api/admin/learning/generate-pptx — pptxgenjs PPTX from Marp markdown
- POST /api/admin/learning/preview-slides — Marp HTML preview
GitHub repo set to private via API.
Backend (src/routes/learningAI.js):
- POST /api/admin/learning/ai-generate
* Accepts: topic text, uploaded file (PDF/TXT/MD/HTML), or Nextcloud WebDAV path
* Extracts text from PDFs via pdf-parse; plain text read directly
* Fetches WebDAV files using stored Nextcloud credentials
* Prompts AI to return structured JSON: title, subject, body (HTML), questions[]
* Strips code fences, falls back to regex JSON extraction if needed
- POST /api/admin/learning/ai-refine — refine existing body with instructions
- GET /api/admin/learning/webdav-browse — PROPFIND-based Nextcloud file browser
- POST /api/admin/learning/webdav-path — save user's default browse path
Frontend:
- AI Generate button in CMS editor header (gradient purple→blue)
- Panel with 3 source tabs: By Topic / Upload File / Nextcloud
- Drag-and-drop file dropzone with DataTransfer API support
- WebDAV file browser: navigate folders, select files, breadcrumb path
- Options: question count, content type (article/quiz/pearl), model selector, instructions
- Refine Current Body: prompt-driven AI rewrite of existing content
- Generated content auto-fills title, subject, type, Tiptap body, quiz questions
Settings:
- Nextcloud section: "Learning Hub Default Browse Path" field (shown when connected)
- Saves to webdav_learning_path column via /api/admin/learning/webdav-path
DB: ALTER TABLE users ADD COLUMN IF NOT EXISTS webdav_learning_path TEXT
