mirror of
https://github.com/Crosstalk-Solutions/project-nomad.git
synced 2026-10-17 05:14:19 +02:00
* feat(drug-reference): offline FDA drug labels, conditions, and remedies
Adds an offline medical-reference feature with three coupled layers:
- Drug Reference: full-text search over openFDA drug-label indications,
a detail page per label, and a side-by-side single-drug comparison view.
A two-phase background pipeline downloads the openFDA label parts to the
storage volume (resumable) and ingests them into the search table.
- Conditions ("When to use what"): a curated spine of first-aid situations
that maps each situation to matching OTC drugs, each linking back to its
Drug Reference detail page.
- Curated remedies: hand-authored natural and home-remedy entries drawn from
US-government public-domain sources (NCCIH, CDC, MedlinePlus, FDA), shown
with their source links and the same safety disclaimers as the rest of the
feature.
The drug-reference and conditions layers are intentionally coupled: the drug
detail page shows the situations a drug treats, and the conditions controller
reads the same drug_labels table.
Safety surfaces ship as written. The amber SafetyBanner ("informational only,
not medical advice, not an FDA endorsement, not a drug-interaction checker, in
an emergency call emergency services") renders on the condition pages and the
search page; the detail and comparison pages carry their own "not a cross-drug
interaction checker" callout; and every page carries the openFDA CC0 source
citation and no-FDA-affiliation footer.
Wiring on this branch:
- start/routes.ts: the /drug-reference and /conditions page GETs plus their
/api/* groups.
- commands/queue/work.ts: the drug-download and drug-ingest queues, both at
concurrency 1. The two drug queues get a per-queue stall override
(lockDuration 1_800_000, maxStalledCount 3) because each part is one long
stream; every other queue keeps the existing 300000 default.
- inertia/pages/home.tsx: Drug Reference and "When to use what" tiles. The
icon and display_order are a starting point, open to change.
- types/kv_store.ts: the two drugReference.* keys the pipeline reads and writes.
- package.json: yauzl and stream-json (plus their @types), used by the ingest
job to stream the label JSON out of the downloaded zips.
The app reads the conditions and remedy data from the compiled TS constants in
app/data/; the repo-root collections/*.json files are the browseable mirrors.
The natural-remedies standalone test reads collections/natural_remedies.json to
assert the two stay in sync, so that file is also a test fixture.
The four standalone tests pass (drug_interactions, drug_ingest_status,
conditions, natural_remedies). tsc reports no errors in the feature code.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* chore(drug-reference): drop a fork-internal comment reference
* fix(drug-reference): address review — defer FULLTEXT, fallback remedies prop, strip fork refs
- migration: wrap the FULLTEXT ALTER in this.defer so it runs after the
deferred createTable (was silently swallowed, index never created)
- controller: add remedies:[] to the index() error fallback (required prop)
- strip fork-internal issue/spec references from ported comments
- tsconfig: exclude tests/standalone (node --experimental-strip-types only)
- correct the varchar(768) byte-math comment; extend remedy-spine test
* fix(drug-reference): make the interaction comparison readable at five drugs
The comparison view laid its columns out on an equal-fraction CSS grid
(repeat(N, minmax(0, 1fr))), so each added drug shrank every column; at the
five-drug maximum the FDA interaction text was squeezed into unreadable slivers.
Lay the columns out with flex instead: full-width and stacked on phones, then
fixed-width columns that scroll sideways from the sm: breakpoint up, so they
never shrink below a readable width. Theme the columns with the same palette as
the rest of the page (they were on stock gray), and give the headers a fixed
min-height so columns line up when drug names wrap.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(collections): route a 'dataset' tier resource to the drug pipeline
Add an optional `type` discriminator to SpecResource ('zim' | 'dataset',
absent == 'zim'), so the tier installer can carry a DB-ingested resource
alongside ZIM files. ZimService.downloadCategoryTier branches on it: a
'dataset' resource dispatches the existing FDA download+ingest pipeline
instead of RunDownloadJob, guarded against duplicate dispatch by the drug
ingest status. Every existing manifest entry has no `type` and keeps the
exact ZIM path.
Widen InstalledResource.resource_type to include 'dataset' and exclude
dataset rows from the ZIM/map catalog-update scan (datasets aren't
filename-versioned; their freshness path is separate). No dataset rows are
written yet: the InstalledResource 'dataset' row on ingest-ready, the
manifest entry, install-gating, and the downloads-aggregator integration
are follow-up commits.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(drug-reference): rework into an opt-in medicine-standard tier dataset
Reshapes the offline FDA drug reference from a built-in feature into curated
content installed by selecting the Medicine / Standard tier, per maintainer
direction.
- install-state: the ingest writes an installed_resources 'dataset' row on
ready (version = the openFDA export_date), threaded installer to download to
ingest; the tier-status math and the home-tile gate read it. Manual ingests
write no row, so install-state stays tied to the curated path.
- manifest: declare the dataset in the medicine-standard tier (runtime fetches
the remote manifest, so this also needs to land upstream).
- install-gating: the drug-reference home tiles render only when installed.
- uninstall: DrugReferenceService.uninstall() stops the two drug queues, deletes
the on-disk parts, truncates drug_labels (schema kept), clears the KV markers,
and drops the install row. Best-effort, logged, scoped to drug data only.
- downloads: the download phase reports the canonical {percent, downloadedBytes,
totalBytes} shape as one drug-data card in the Active Downloads aggregator with
cancel/remove; the heavy ingest stays in the IngestStatus surface with an
Indexing handoff on the card.
- auto-update: a daily DrugAutoUpdateJob compares the manifest export_date and
re-downloads when newer, gated on installed + no active job.
typecheck clean; the drug standalone suites pass. Three points are flagged in
code for the maintainer: the InstalledResource 'dataset' approach, the tier
home, and the export_date string format.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(downloads): keep the drug download card live across all parts
The Active Downloads card filtered to the deterministic jobId, but the
download's continuations run under auto-generated jobIds (only part 0 uses the
deterministic one). So the card tracked part 0 and then vanished while parts
2..N kept downloading. The queue is concurrency 1, so collapse to whichever
single part is in flight and report the deterministic jobId: one card tracks
aggregate progress through the whole download and cancel/remove still routes.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(drug-reference): co-locate a persistent safety note with affirmative remedy guidance
Add RemedySafetyNote at the head of every natural-remedy section — the two on
Drug Reference and the one on "When to use what" — so the "informational only,
not medical advice, seek real medical care in an emergency" framing appears with
the guidance itself, not only in the page-top banner. Replaces the terse
per-section caveat with the same amber alert language as SafetyBanner.
Addresses the upstream #1040 review request that the disclaimer be unmistakable
and present wherever affirmative self-care guidance appears, not a one-time banner.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* fix(drug-reference): fold dataset freshness into the content-auto-update path
The drug dataset auto-updated on its own daily cron that ignored the
contentAutoUpdate.* master switch, so it would refresh even with content
auto-update turned off, and it didn't ride the content-update path the way
ZIMs and maps do.
Move the export_date freshness/apply orchestration onto
DrugReferenceService.attemptAutoUpdate(), add
ContentAutoUpdateService.attemptDrugDataset() gated on the same enabled +
window config, and have the hourly ContentAutoUpdateJob drive both. Retire
the standalone DrugAutoUpdateJob. The ZIM/map attempt() path is unchanged.
Addresses the upstream #1040 request to wire the openFDA export_date check
into the content updater so the dataset updates alongside ZIMs and maps.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(drug-reference): strengthen the remedy note to consult a clinician before combining with meds
Widen the affirmative-remedy safety note from "talk to a clinician before use"
to explicitly cover using a remedy AND combining one with a medication the user
already takes — the interaction case is the higher-risk path for an off-grid
user self-treating.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(drug-reference): gate affirmative remedy content behind an off-by-default flag
Add drugReference.remediesEnabled (default off), independent of the tier
install. When off, the server emits no remedy data at any boundary — the
drug-reference page prop, conditions show, and the /api/conditions/drugs
situation search — and the "Natural" filter is hidden, so installing the
medicine-standard tier lights up the verbatim FDA label search and the
condition-to-OTC matching but not the hand-authored self-care and herbal
sections. No user-facing toggle: it is flipped on after a clinician content-pass.
Implements the upstream #1040 split-by-risk request: the regulated label content
ships with the tier; the authored remedy guidance stays gated until sign-off.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: Jake Turner <52841588+jakeaturner@users.noreply.github.com>
83 lines
2.7 KiB
TypeScript
83 lines
2.7 KiB
TypeScript
import { Job } from 'bullmq'
|
|
import { QueueService } from '#services/queue_service'
|
|
import { DownloadService } from '#services/download_service'
|
|
import { ContentAutoUpdateService } from '#services/content_auto_update_service'
|
|
import logger from '@adonisjs/core/services/logger'
|
|
|
|
/**
|
|
* Hourly job that evaluates whether any installed content (ZIM/map) should
|
|
* auto-update right now and, if so, dispatches the downloads. All gating (master
|
|
* switch, content window, cool-off, per-window data cap, pre-flight, backoff)
|
|
* lives in {@link ContentAutoUpdateService}; this job is just the scheduled
|
|
* trigger. Runs hourly so it can act anywhere inside a user's window regardless
|
|
* of the window's length. Mirrors {@link AppAutoUpdateJob}.
|
|
*/
|
|
export class ContentAutoUpdateJob {
|
|
static get queue() {
|
|
return 'system'
|
|
}
|
|
|
|
static get key() {
|
|
return 'content-auto-update'
|
|
}
|
|
|
|
async handle(_job: Job) {
|
|
logger.info('[ContentAutoUpdateJob] Evaluating content auto-updates...')
|
|
|
|
const contentAutoUpdateService = new ContentAutoUpdateService(
|
|
new DownloadService(QueueService.getInstance())
|
|
)
|
|
|
|
const result = await contentAutoUpdateService.attempt()
|
|
logger.info(`[ContentAutoUpdateJob] ${result.started} started: ${result.reason}`)
|
|
|
|
// The FDA drug dataset refreshes on the same cycle and master switch as the
|
|
// ZIM/map catalog (its apply path differs, so it's a separate step, not part
|
|
// of attempt()). Governed by the same `contentAutoUpdate.*` settings.
|
|
const drugResult = await contentAutoUpdateService.attemptDrugDataset()
|
|
logger.info(`[ContentAutoUpdateJob] ${drugResult.started} started: ${drugResult.reason}`)
|
|
|
|
return {
|
|
started: result.started + drugResult.started,
|
|
reason: `${result.reason}; ${drugResult.reason}`,
|
|
}
|
|
}
|
|
|
|
static async schedule() {
|
|
const queueService = QueueService.getInstance()
|
|
const queue = queueService.getQueue(this.queue)
|
|
|
|
await queue.upsertJobScheduler(
|
|
'hourly-content-auto-update',
|
|
{ pattern: '0 * * * *' }, // Top of every hour; attempt() gates on the window
|
|
{
|
|
name: this.key,
|
|
opts: {
|
|
removeOnComplete: { count: 12 },
|
|
removeOnFail: { count: 5 },
|
|
},
|
|
}
|
|
)
|
|
|
|
logger.info('[ContentAutoUpdateJob] Content auto-update evaluation scheduled with cron: 0 * * * *')
|
|
}
|
|
|
|
static async dispatch() {
|
|
const queueService = QueueService.getInstance()
|
|
const queue = queueService.getQueue(this.queue)
|
|
|
|
const job = await queue.add(
|
|
this.key,
|
|
{},
|
|
{
|
|
attempts: 1,
|
|
removeOnComplete: { count: 12 },
|
|
removeOnFail: { count: 5 },
|
|
}
|
|
)
|
|
|
|
logger.info(`[ContentAutoUpdateJob] Dispatched ad-hoc content auto-update evaluation job ${job.id}`)
|
|
return job
|
|
}
|
|
}
|