A generated deck was losing content. pandoc writes a bare <a:bodyPr/> on every
shape, which leaves the body with no autofit even though the slide master has
one, so a slide with too much on it is cut off mid-sentence and the rest is not
rendered at all. Reproduced and counted: eight bullets went in, three came out,
the third ending mid-word.
Every generated deck now carries <a:normAutofit/> on its body placeholders. No
fontScale, deliberately — the renderer works out the reduction, so a slide that
already fits is untouched, where a fixed scale would shrink all of them. The
same eight bullets now fit with nothing in the bottom 6% of the slide.
This is a floor, not a licence to overcrowd. The prompt still asks for one idea
per slide; this stops a long one becoming unreadable.
Also: an article is no longer offered as PowerPoint. A deck of paragraphs is not
a presentation. Word and PDF suit either kind, and the route refuses the
combination rather than relying on the button being absent.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
npm audit reports 0 vulnerabilities. It reported 2 high and 2 moderate this
morning.
@google-cloud/vertexai was the last source of findings — gaxios and a uuid with
a missing buffer bounds check, neither reachable in this deployment because
GOOGLE_VERTEX_PROJECT is unset and the require sits inside that check. Dormant
is not the same as gone, and the provider is available through the gateway
anyway, so the direct path has been removed rather than left to rot:
- the SDK client and callVertex, which without the package could never run
- the dispatch and discovery branches that reached them
- VERTEX_MODELS, a list of ids nothing could route any more, and the two
places in adminConfig that concatenated it into the built-in set
- the health endpoint's vertex line, and the env vars documented for it
AI_PROVIDER=vertex now says where to configure the model instead of quietly
becoming something else. The Google STT and TTS paths keyed off the same
variable are untouched; neither ever used this SDK.
Verified after deploy: provider litellm, the assistant answers with 8 sources,
/api/models returns 10, and @aws-sdk/s3-request-presigner — which documents.js
needs for presigned MinIO URLs — is still declared and resolvable.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
pptxgenjs is gone, and with it 269 lines of hand-rolled markdown parsing.
It stretched every image. Reading the slide XML it emitted shows why: it writes
the target box verbatim with <a:stretch/> and a no-op srcRect, so a 200x800
image handed an 11.8x3.9 box came out 1:4 squashed to 3:1. It could not do
better — it never measures an image, and its own getSizeFromImage is commented
out and marked "currently unused", reaching for a package called sizeof that
does not exist. pandoc measures them: a 300x175 source renders at aspect 1.714
and a 160x360 at 0.445, verified by rendering the deck to PDF and looking at it.
Tables, ordered and unordered lists, bold, italic and subscripts all come out
natively, and the fonts, palette and slide layouts come from
assets/learning/slides-reference.pptx. Design now lives in that file: restyling
the decks means editing it in PowerPoint, not editing this route.
Only images the requester owns can reach a deck. pandoc resolves an image link
against the filesystem, so a markdown link naming any local path would read that
file into the presentation. Images are fetched by id through the ownership
check, written into a per-request temporary directory under names we choose, and
every image link that did not resolve is removed rather than passed through. The
directory is removed in a finally block, and the conversion has a 60s timeout so
it cannot hang a request.
pandoc is in the image rather than a sidecar, because an export must not fail
for reasons outside this container. It costs 197MB (307 -> 504).
Removing pptxgenjs also removed image-size, and with it both high-severity
advisories — GHSA-w3rx-r6r6-pgpr and GHSA-5p2g-fcmc-qvqq, ICNS/JXL/HEIF parser
denial of service, ranged <=2.0.2 with no fixed release to upgrade to. npm audit
goes from 2 high and 2 moderate to 2 moderate.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
Every generated image in an exported deck was distorted. PowerPoint scales an
image to whatever extent it is given, and the export handed it the content box
verbatim. pptxgenjs has a `sizing: contain` option that looks like it solves
this; reading the emitted slide XML shows it does not — a 200x800 image in an
11.8x3.9 box came out as cx=10789920 cy=3566160 with <a:stretch/>, stretched
from 1:4 to 3:1. It cannot do better: it never measures the image, and its own
getSizeFromImage is commented out and marked "currently unused".
So the export measures the image itself and hands PowerPoint an extent that
already has the right shape, centred in the space available. Verified: a 200x800
image now places 0.97x3.90 and a 4x3 places 5.20x3.90, both matching their
source aspect exactly, neither overflowing. An image that cannot be measured
keeps the old behaviour rather than failing the export.
image-size becomes a real dependency rather than one borrowed transitively, and
an override collapses it to a single copy — pptxgenjs declares it but the string
appears in none of its four shipped bundles, so npm was placing a second copy in
the production image that nothing could load.
Its ICNS, JXL and HEIF parsers have open denial-of-service advisories against
every published version (GHSA-w3rx-r6r6-pgpr, GHSA-5p2g-fcmc-qvqq, both ranged
<=2.0.2), so there is no release to upgrade to. They are disabled instead:
this application measures PNG, JPEG, WebP and GIF and nothing else. An ICNS
buffer is now refused and falls back to the box rather than entering the parser.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
Measured in a real browser against the app rather than reasoned about.
The transcript boxes are contenteditable divs, and an editable div zooms on
focus exactly like an <input>. The earlier 16px sweep covered input, textarea
and select, so every workspace tab still zoomed while the calculators did not —
which is exactly what was reported. Every focusable text control in every tab
now measures 16px at phone width; the count of ones below it is zero.
Three ways a recording could end with nothing to show for it:
- Safari supports none of the audio/webm types and throws NotSupportedError
when handed one. Six modules built their own recorder on resume with
"opus, else audio/webm", so resuming threw there and the recording stopped.
There is now one codec chain in the app, and no module constructs a
MediaRecorder of its own.
- audio-recorder-failed is dispatched on document, and the encounter tab
stopped its recording on any of them. The assistant's microphone failing
ended a consultation being recorded in another tab. The recorder now
travels with the event and the listener checks it is its own.
- The server answers {success:true, text:''} for silence, and five modules
assigned that straight into the transcript — emptying the box the browser
had been filling live. It reads as a recording that vanished. Text is now
required before overwriting, and a recording that captured nothing says so
instead of resetting the button over an empty box.
Also: the citation counters were registered on prom-client's default registry
while the app serves its own, so they were never scraped. They read zero at
/metrics now instead of being absent, which is what the Grafana panels need.
And the reference linter passes for the first time, so scripts/e2e.sh gets past
its preflight: KaTeX is vendored (it was referenced by the assistant's LaTeX
rendering but never shipped — three 404s a page load and no math), and the
JavaScript left behind by the removed image picker, saved-chats toggle, image
gallery and visual-output panel is gone.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
Security
- nodemailer 9.0.1 -> 9.1.1, clearing four high advisories, two of which
are delivery bugs that matter for an app that sends mail: recipient-domain
validation bypass via RFC 5322 comments, and an IDN/punycode allow-list
bypass, both of which can route mail to an attacker-controlled domain.
Live transcription
- The Settings picker was a hardcoded list of six ids
(local-whisper-*, local-parakeet-v3, gemini-*). None of them resolve on
this gateway, and /api/transcribe prefers the user's choice over the admin
default, so picking one broke every recording with "Invalid model name".
Verified against the live gateway: local-whisper-large-v3-turbo -> 400.
- The picker now lists what /model/info advertises as audio_transcription,
cached for five minutes, with the built-in list kept only as a fallback
and the admin default marked.
- The pipeline itself is healthy: local-kokoro-tts produced 92KB of speech
and mistral-voxtral-mini-transcribe returned the sentence back verbatim.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
Gallery tiles are 56px but were downloading the full ~280kB original. Previews
are now rendered with sharp and stored beside the originals in the same MinIO
bucket under a thumbs/ prefix, so nothing about credentials, lifecycle or backup
changes. Measured on live assets: 216-294kB originals become 13-19kB at 256px,
about 16x smaller; 640px is about 4x.
Both paths, as asked:
- Rendered when a job completes, so the first viewer never waits for a resize.
A preview failure never unmakes a finished job.
- Rendered on demand for anything that has none — the existing 26 images work
immediately with no backfill required, and the result is stored for next time.
Boundaries that matter more than the speed:
- Only 256 and 640 are honoured. An open width parameter would let a caller
drive arbitrary resizes.
- Permission is checked against the ORIGINAL before a preview is served, so a
preview can never widen who can see an image.
- Previews carry their own SHA-256 and owner headers, because the client
verifies both on every asset; sending the original's checksum would be
rejected as tampering, which is that check working correctly.
- Still private, no-store. The client asset pattern was widened to exactly
?w=256 and ?w=640 and nothing else.
Client-side downscaling stays as the fallback when a preview cannot be produced.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018e1PLqrKgAM9jQhFKRnbLd
Symptom Daniel reported: "note recording, not working nor going into
textbox". Root cause was on the server side — /api/notes/from-voice
asked the AI for HTML in its prompt, but real-world models return
markdown ~25% of the time. Tiptap's setContent only renders HTML;
markdown comes through as literal text or a partial render, looking
like the textbox didn't fill.
Server (src/routes/notes.js):
• New toHtmlBody() helper. If the AI returned real HTML (any
block tag), pass through. Otherwise run through `marked` so
markdown becomes <p>/<h*>/<strong>/etc.
• Strips ```json / ```html code fences before JSON parsing.
• Stricter JSON-recovery: only accepts {title|body} parsed shape;
falls back to wrapping the AI's full reply via toHtmlBody().
• Final guard: if body would be empty after sanitisation, wrap
the raw transcript so the user can at least edit it manually.
Client (public/js/notes.js):
• applyGeneratedNote prefers _editor.commands.setContent over a
full remount — avoids the toolbar-reattach flicker + the brief
window where the body looked empty.
• Logs to console when the editor target is missing or Tiptap
setContent throws, so a future regression is greppable.
Plus the two infra fixes Daniel approved earlier in the same
session — keeping them in this commit since they're already
deployed and tested:
• src/db/database.js: cleanup interval handle exposed; server
shutdown now clearInterval()s it before pool.end(). Removes
the SIGTERM → 9-second-hang → Docker SIGKILL race.
• src/routes/audioBackups.js: switch multer.memoryStorage() to
diskStorage with cleanup. 10 concurrent 25 MB uploads no
longer pin 250 MB of RAM. Identical user-visible perf since
upload is wire-bound.
New dep: marked@latest (used server-side only in toHtmlBody).
Soft-delete for notes — Daniel asked for "deleted notes go to trash"
so a slip of the finger doesn't lose work.
Schema: migrations/1777090000000_notes-trash.js adds a deleted_at
timestamptz column to personal_notes (NULL = active) plus an index
on (user_id, deleted_at).
Server (src/routes/notes.js):
GET /api/notes now filters deleted_at IS NULL
GET /api/notes/trash new — list trashed items, newest-
deleted first
DELETE /api/notes/:id now soft-deletes (sets deleted_at)
DELETE /api/notes/:id?hard=1 hard-delete, only allowed on items
already in trash (UI bug can't
erase an active note)
POST /api/notes/:id/restore pull a note out of trash
POST /api/notes/trash/empty hard-delete every trashed note for
the user
Frontend (public/components/notes.html + public/js/notes.js +
public/css/styles.css):
• Sidebar gets two tabs — "Notes" / "Trash (n)" with live count
• Trash tab shows deleted-at timestamps, Restore + delete-forever
per row, Empty-trash button at the bottom
• Active list and trash count refresh in parallel after every
save / delete / restore
• Delete button in the editor now says "Move to trash" and uses
the showConfirm helper (no native dialogs)
Sanitizer swap (public/js/notes.js):
Replaced the homegrown allowlist walker with DOMPurify (already
loaded from cdnjs in index.html, used by learningHub.js too).
Custom HTML sanitizers historically have bypasses; DOMPurify is
the right primitive.
Tests (test/notes-sanitize.test.js — node:test + jsdom + dompurify
as new dev deps):
9 contract tests covering script-tag stripping, inline event
handlers, img onerror, iframe/object, style attributes, every
preserved tag in the allowlist, javascript: URI rejection,
null/undefined input, and nested-script-inside-paragraph. Total
test count: 37 → 46 passing.
SW cache bumped to pedscribe-v12-notes5.
- 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
- 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
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
- 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
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
- Fix 2FA status stuck at "Loading...": export load2FAStatus globally so
app.js tabChanged handler can call it when navigating via sidebar
- Fix admin models silent failure: add error message + retry button on catch
- Fix save encounter doubles: persist _savedEncId_* to sessionStorage so
page refresh reuses existing record instead of inserting a duplicate;
add _savingInProgress guard to prevent race-condition double-saves
- Desktop sidebar collapsible: add collapse/expand buttons (not collapsed
by default), state saved to localStorage; hidden on mobile
- Copy to Visit Note now also copies SSHADESS assessment to wv-shadess-text
- Store selected visit age in window._wellVisitAge + sessionStorage so
other tabs can read the patient's age
- Bigger screening/vaccine boxes: min-height on wv-vax-list, wv-screen-list,
wv-visit-detail; slightly more padding on vaccine items
- Wire New Patient (clearTab) buttons to document click handler
