The old renderer rewrote the text: it found "[n]" with regexes, renumbered
them, and swapped the result back in — which broke inside `arr[2][1]`, inside
HTML attributes, and whenever two turns disagreed about what "[3]" meant. It
also had a fallback markdown renderer of its own for when the rewrite
produced something markdown-it would not parse.
Now "[n]" is an inline rule registered on the same markdown-it instance that
renders everything else. The parser decides what is prose and what is code, a
link, or a URL, so the rule never sees "[1]" inside a code span, and it steps
aside for "[1](url)". Math is two more rules on the same parser instead of a
regex pre-pass, so "$" inside a URL is no longer math.
Identity vs display: the stored "[n]" and each card's id are the source's
identity (sourceNumber) and are never rewritten. The number a reader sees is
the order of first appearance, computed at render time from the token stream
(orderSourcesByCitation), so "one, then seven" cannot happen and a saved chat
re-opens pointing at the same cards it was saved with. Stored messages and
sources are untouched; export and the modal resolve by identity.
Translated HTML gets the same links through a TreeWalker over text nodes
(linkCitationsInHtml) rather than a regex over markup.
Deleted: renderCitationLinks, normalizeAdjacentCitationClusters, the
fallback renderer (fallbackMarkdown/renderMixedList/renderFallbackTable),
renderLatexText, CITATION_SCAN. Tests that asserted rewritten text now assert
token output; harnesses that render for real are given a parser.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
My Resources generates better slides than Learning Hub ever did — a typed deck
the model fills in, rendered by python-pptx with fit-to-slide text, figures, a
vision review and themes, against Learning Hub's markdown-through-pandoc — and
the articles and quizzes now live in the quiz app. Keeping a second, weaker
generator and a whole CMS beside it was not earning its maintenance.
Removed: three routers, the Learning Hub and Content Manager tabs, their
components and frontend modules, the five database tables, the WebDAV browser,
the content embedding column and its vector index.
Content was exported first — every article as markdown plus a full SQL dump of
all five tables — to ops-backups/learning-hub-export-*. That export is the
restore path; the migration's down() can recreate the shape but never the rows,
and says so.
Two things this simplifies rather than merely deletes:
generated_image_links existed only to record which published content an image
appeared in, and it was the sole reason a generated image could be read by
someone who did not make it. Images are now owner-only — the visibility rule is
one WHERE clause instead of a join across two tables and a published flag.
embeddings.js keeps the model discovery the admin panel uses and loses
searchSimilar and generateContentEmbedding, which queried a table that no longer
exists.
Kept deliberately: Nextcloud connect, disconnect and export, which are how a
generated note reaches a real filesystem and have nothing to do with Learning
Hub; learningRetrieval, which despite its name is the clinical corpus search My
Resources depends on; and the pandoc reference deck, still the fallback when the
python renderer fails, moved from assets/learning to assets/deck now that the
old name misleads.
Tests: four Learning-Hub-only files removed, and the individual cases inside
shared files that asserted its behaviour. Where a test used a Learning endpoint
only as a convenient example — the account-boundary token test, the policy
matrix — it now uses one that still exists, so the property it proves is
unchanged.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
Feature audit
- Settings claimed you could reference a template by saying "use my normal
physical exam" in dictation. No phrase handling exists anywhere, and the
prompt says the opposite: "Never copy clinical content from a template —
only formatting and structure." So a template can never supply findings.
The text now says what happens, and keeps the true privacy statement that
only template categories go to the AI (Custom is filtered out in
/memories/context by AI_CONTEXT_CATEGORIES).
- Templates themselves are real: CRUD plus /memories/context, injected as
style hints by hpi, soap, sickVisit, wellVisit, edEncounters and
hospitalCourse, behind the `memories` feature flag.
Docs
- docs/CLINICAL_ASSISTANT.md listed six settings and offered `deepl`, which
no longer exists in the code. The table now covers all seventeen keys the
server reads, with their fallbacks, plus how a model reaches a user.
Testing
- Every test file's stdout is now pure TAP, which is the stream node:test
parses results from. Three sources: a leftover debug console.log dumping
600 characters of HTML, page modules logging into a JSDOM without a
virtual console, and the server startup banners. The banners are guarded
by NODE_TEST_CONTEXT, set only inside node:test children, so production
and `node server.js` output is unchanged (verified both ways).
- Three consecutive full-suite runs at 671/671.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Dv6sqaY6Vq3ChZHMem3cnU
