refactor(insights): reduce the weight card to its input gate and snapshot

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Marc-André Bombeck committed 2026-10-23 11:04:15 +02:00
1 parent ea01610a56
commit de866107ad
2 files changed
+356 -510

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@@ -1,9 +1,7 @@
import { NextRequest } from "next/server";
import { apiSuccess } from "@/lib/api-response";
import {
generateWeightStatusForUser,
resolveWeightStatusLocale,
} from "@/lib/insights/weight-status";
import { generateWeightStatusForUser } from "@/lib/insights/weight-status";
import { normalizeLocale as resolveWeightStatusLocale } from "@/lib/insights/status-shared";
import { apiHandler, requireRecordAuth } from "@/lib/api-handler";
import { annotate } from "@/lib/logging/context";
import { resolveServerLocale } from "@/lib/i18n/server-locale";
+354 -506
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@@ -4,8 +4,6 @@ import {
getWeightSystemPrompt,
getWeightUserPrompt,
} from "@/lib/ai/prompts/weight";
import { openerArchetypeHint } from "@/lib/ai/prompts/opener-archetype";
import type { Locale } from "@/lib/i18n/config";
import {
significantPearsonCorrelation,
type PairedPoint,
@@ -13,16 +11,7 @@ import {
import { getNoKeyWeightStatusText } from "@/lib/insights/no-key-fallbacks";
import { resolveWeightTargetOverride } from "@/lib/analytics/effective-range";
import { buildWeightTargetFeature } from "@/lib/targets/weight-trend";
import {
formatPreviousContextForPrompt,
getPreviousInsightContext,
} from "@/lib/insights/memory";
import {
buildAssessmentContextBlock,
computeSteadyRun,
pickVarietyLead,
} from "@/lib/insights/assessment-context";
import { getRelevantCorrelationsForMetric } from "@/lib/insights/metric-correlation-context";
import { computeSteadyRun } from "@/lib/insights/assessment-context";
import {
applyPayloadBudget,
dayOffsetToDayKey,
@@ -32,42 +21,40 @@ import {
buildGradedSeriesFromPoints,
buildGradedSeriesWithRollups,
convertGradedSeries,
degradeStatusSnapshotToBudget,
type GradedSeries,
} from "@/lib/insights/graded-series";
import { statusSnapshotCharsForRecord } from "@/lib/ai/capabilities/usage";
import {
applyDisplayTransform,
applyDisplayTransformDelta,
getReadingTransform,
resolveUnitPreferences,
transformRescales,
type DisplayTransform,
type UnitPreferences,
} from "@/lib/measurements/display-transform";
import { buildMetricSignal } from "@/lib/insights/metric-signal";
import {
type SupportedLocale,
normalizeLocale,
finalizeStatusSummary,
persistStatusInsight,
round,
summarizeSeries,
type SupportedLocale,
} from "@/lib/insights/status-shared";
import {
computeStatusInputFingerprint,
gateUnchangedStatusInput,
readFreshStatusText,
refreshUnchangedStatusInsight,
resolveReadOnlyStatusMiss,
statusCacheAction,
} from "@/lib/insights/status-cache";
import { hashInsightSnapshot } from "@/lib/insights/snapshot-hash";
import { returnTimeoutFallback } from "@/lib/insights/timeout-fallback";
import { computeStatusInputFingerprint } from "@/lib/insights/status-cache";
import {
runPreparedStatusCard,
type PreparedStatusCard,
type StatusCardResult,
} from "@/lib/insights/status-card-generation";
import { annotate } from "@/lib/logging/context";
import { resolveUserTimezone, userDayKey } from "@/lib/tz/resolver";
import {
coverageSpan,
gateUnchangedInputs,
prepareStatusCard,
textStatusCodec,
type ServedBuild,
type StatusCardBuild,
type StatusCardContext,
type StatusCardOptions,
type StatusCardPlugin,
type StatusTextResult,
} from "@/lib/insights/status-pipeline";
import { DEFAULT_TIMEZONE } from "@/lib/tz/format";
import { canonicalDailyTimestamp } from "@/lib/measurements/consolidation-tz";
@@ -120,129 +107,45 @@ function pairDailyBuckets(
*/
export async function generateWeightStatusForUser(
userId: string,
options?: {
locale?: string | null;
force?: boolean;
readOnly?: boolean;
},
): Promise<{
hasProvider: boolean;
text: string | null;
cached: boolean;
updatedAt: string | null;
preparing?: boolean;
revalidating?: boolean;
}> {
options?: StatusCardOptions,
): Promise<StatusTextResult> {
const prepared = await prepareWeightStatusForUser(userId, options);
const result = await runPreparedStatusCard(prepared);
return result as {
hasProvider: boolean;
text: string | null;
cached: boolean;
updatedAt: string | null;
preparing?: boolean;
revalidating?: boolean;
};
return (await runPreparedStatusCard(prepared)) as StatusTextResult;
}
/**
* v1.18.7 — everything up to (not including) the provider call.
* Returns a finished `served` result for every path that never needed the
* LLM, or a `pending` descriptor the single-card path and the batch path
* both drive. See `status-card-generation.ts` for the contract.
* Everything up to (not including) the provider call, through the shared
* status pipeline (`status-pipeline.ts`); this card supplies its input gate
* and its snapshot.
*/
export async function prepareWeightStatusForUser(
export function prepareWeightStatusForUser(
userId: string,
options?: {
locale?: string | null;
force?: boolean;
/**
* v1.8.3 — read-only mode for the navigation path. On a cache miss the
* generator does NOT run the SQL gather + blocking LLM inline; it
* enqueues an out-of-band generation and returns a `preparing` shape so
* the request never awaits the provider. The worker (and the nightly
* pre-generate cron) call with `readOnly: false` to actually generate.
*/
readOnly?: boolean;
},
options?: StatusCardOptions,
): Promise<PreparedStatusCard> {
const locale = normalizeLocale(options?.locale);
const force = options?.force === true;
const readOnly = options?.readOnly === true;
const cacheAction = statusCacheAction("weight", locale);
// v1.30.3 — resolve the user's own tz BEFORE the day-key so the
// cache rolls over at the user's local midnight, not Berlin's. Has to
// happen ahead of the cache read below (the earliest possible return
// path), not just the later day-bucketing reads.
const userTz = await resolveUserTimezone(userId);
const todayKey = userDayKey(new Date(), userTz);
return prepareStatusCard(WEIGHT_STATUS_CARD, userId, options);
}
// Serve today's real assessment when present. The shared reader
// rejects timeout stubs, so a single stall no longer pins the
// fallback for the day.
const cached = await readFreshStatusText({
userId,
cacheAction,
todayKey,
force,
});
if (cached) {
return {
phase: "served",
result: {
hasProvider: true,
text: cached.text,
cached: true,
updatedAt: cached.updatedAt,
},
};
}
interface WeightInputs {
weightTarget: ReturnType<typeof resolveWeightTargetOverride>;
units: UnitPreferences;
mass: DisplayTransform;
inputHash: string;
}
// v1.8.3 — read-only navigation path: never block on the provider.
// Enqueue generation out of band and return preparing / no-provider.
if (readOnly) {
const outcome = await resolveReadOnlyStatusMiss({
userId,
metric: "weight",
locale,
});
// Unavailable for any reason serves the deterministic line and enqueues
// nothing. `hasProvider` is provider presence only.
if (outcome.kind === "unavailable") {
return {
phase: "served",
result: {
hasProvider: outcome.hasProvider,
text: getNoKeyWeightStatusText(locale),
cached: true,
updatedAt: null,
},
};
}
// v1.8.7 — stale-while-revalidate: serve the last good assessment
// (if any) instantly while the worker re-warms; only fall to the empty
// preparing skeleton when none was ever produced.
return {
phase: "served",
result: {
hasProvider: true,
text: outcome.lastGood?.text ?? null,
cached: outcome.lastGood !== null,
updatedAt: outcome.lastGood?.updatedAt ?? null,
preparing: outcome.lastGood === null,
revalidating: outcome.revalidating,
},
};
}
// v1.18.11 — input gate for this slow-moving metric. A cheap grouped
// probe over the salient inputs (weight + BP channels + mood) fingerprints
// what the snapshot would read. On a non-forced run with an unchanged
// fingerprint the cached assessment is re-stamped under today's key and the
// whole heavy build below (bounded findMany + per-series rollup reads +
// correlation math + the provider call) is skipped. A forced run never
// gates — but still computes the fingerprint so the persisted row carries a
// current one for the next day's gate.
/**
* Input gate for this slow-moving metric. A cheap grouped probe over the
* salient inputs (weight + BP channels + mood) fingerprints what the snapshot
* would read. On a non-forced run with an unchanged fingerprint the cached
* assessment is re-stamped under today's key and the whole heavy build
* (bounded findMany + per-series rollup reads + correlation math + the
* provider call) is skipped. A forced run never gates — but still computes
* the fingerprint so the persisted row carries a current one for the next
* day's gate.
*/
async function readWeightInputs(
ctx: StatusCardContext,
): Promise<WeightInputs | ServedBuild<StatusTextResult>> {
const { userId } = ctx;
// v1.39 (#1006) — the person's own weight target decides which way is
// progress. Folded into the input fingerprint so editing the target flips
// the gate even when no weight row moved.
@@ -258,7 +161,6 @@ export async function prepareWeightStatusForUser(
unitPreference: userRow?.unitPreference,
});
const mass = getReadingTransform("WEIGHT", units);
const toMass = (kg: number) => applyDisplayTransform(kg, mass);
const inputHash = await computeStatusInputFingerprint({
userId,
types: ["WEIGHT", "BLOOD_PRESSURE_SYS", "BLOOD_PRESSURE_DIA"],
@@ -276,176 +178,48 @@ export async function prepareWeightStatusForUser(
// the discovery channels + the prior-analysis anchor into the fingerprint.
includeCorrelationChannels: true,
});
if (!force) {
const unchangedInput = await gateUnchangedStatusInput({
userId,
cacheAction,
todayKey,
inputHash,
force,
});
if (unchangedInput) {
return {
phase: "served",
result: {
hasProvider: true,
text: unchangedInput.text,
cached: true,
updatedAt: unchangedInput.updatedAt,
},
};
}
if (!ctx.force) {
const unchangedInput = await gateUnchangedInputs(ctx, inputHash, ctx.force);
if (unchangedInput) return { phase: "served", result: unchangedInput };
}
return { weightTarget, units, mass, inputHash };
}
// v1.4.28 — cap the snapshot input. BP captures three types
// per day so 1095 = 365 d × 3 channels. Order desc + reverse so we
// keep the most recent year of rows.
const measurements = await prisma.measurement
.findMany({
where: {
userId,
type: {
in: ["WEIGHT", "BLOOD_PRESSURE_SYS", "BLOOD_PRESSURE_DIA"],
},
// Soft-deleted rows must never reach the prompt snapshot.
deletedAt: null,
},
take: 1095,
orderBy: { measuredAt: "desc" },
select: {
type: true,
value: true,
measuredAt: true,
},
})
.then((rows) => rows.reverse());
/**
* The weight snapshot: the weight series in the reader's mass unit, the two
* BP channels as context, the weight-vs-BP correlations, and mood context.
*/
async function buildWeightSnapshot(
ctx: StatusCardContext,
): Promise<StatusCardBuild<undefined> | ServedBuild<StatusTextResult>> {
const { userId, locale, userTz, todayKey } = ctx;
const inputs = await readWeightInputs(ctx);
if ("phase" in inputs) return inputs;
const { weightTarget, units, mass, inputHash } = inputs;
const toMass = (kg: number) => applyDisplayTransform(kg, mass);
const now = new Date();
// v1.2.5 — every day-bucketing pass below keys on the user's own
// calendar day. `userTz` was already resolved above for the cache day-key.
const weightSeries = applyPayloadBudget(
measurements
.filter((measurement) => measurement.type === "WEIGHT")
.map((measurement) => ({
measuredAt: measurement.measuredAt,
value: measurement.value,
})),
{ now, tz: userTz },
);
const sysSeries = applyPayloadBudget(
measurements
.filter((measurement) => measurement.type === "BLOOD_PRESSURE_SYS")
.map((measurement) => ({
measuredAt: measurement.measuredAt,
value: measurement.value,
})),
{ now, tz: userTz },
);
const diaSeries = applyPayloadBudget(
measurements
.filter((measurement) => measurement.type === "BLOOD_PRESSURE_DIA")
.map((measurement) => ({
measuredAt: measurement.measuredAt,
value: measurement.value,
})),
{ now, tz: userTz },
);
// Fetch mood context (optional — for enrichment only). v1.4.28
// Cap at 90 entries.
const moodEntries = await readRecentMoodScores(userId, 90);
const moodSeries = applyPayloadBudget(
moodEntries.map((entry) => ({
measuredAt: entry.moodLoggedAt,
value: entry.score,
})),
{ now, tz: userTz },
);
const moodSummary = summarizeSeries(
moodSeries.daily.map((bucket) => ({ value: bucket.value })),
);
const moodMean = moodSummary?.mean ?? null;
// Compact graded series for the prompt. The `*Series.daily` buckets
// above stay for the correlation pairing + latest-day focus; only the
// graded shape is embedded so the full daily arrays never ship.
//
// Weight + the two BP context channels source their recent / weekly
// slices from a bounded raw read and their monthly / yearly tail from
// the MONTH / YEAR rollup tier (with a full-history in-memory fallback
// on a cold-tier coverage miss). Mood has no rollup tier, so it stays
// an in-memory fold.
const [canonicalWeightGraded, sysGraded, diaGraded] = await Promise.all([
buildGradedSeriesWithRollups(userId, "WEIGHT", now, userTz),
buildGradedSeriesWithRollups(userId, "BLOOD_PRESSURE_SYS", now, userTz),
buildGradedSeriesWithRollups(userId, "BLOOD_PRESSURE_DIA", now, userTz),
]);
const weightGraded = transformRescales(mass)
? convertGradedSeries(canonicalWeightGraded, mass, mass.decimals)
: canonicalWeightGraded;
const moodGraded = buildGradedSeriesFromPoints(
moodSeries.daily.map((b) => ({
measuredAt: canonicalDailyTimestamp(
dayOffsetToDayKey(now, b.dayOffset, userTz),
userTz,
),
value: b.value,
})),
const {
now,
userTz,
);
measurements,
weightSeries,
sysSeries,
diaSeries,
moodSeries,
moodMean,
canonicalWeightGraded,
weightGraded,
sysGraded,
diaGraded,
moodGraded,
} = await readWeightSeries(userId, mass, userTz);
const weightVsSystolicPairs = pairDailyBuckets(
const pairs = pairWeightWithBloodPressure(
weightSeries.daily,
sysSeries.daily,
now,
userTz,
);
const weightVsSystolicCorrelation = significantPearsonCorrelation(
weightVsSystolicPairs,
);
const pairedSystolicDiastolic = pairDailyBuckets(
sysSeries.daily,
diaSeries.daily,
now,
userTz,
).map((entry) => ({
day: entry.dayKey,
sys: entry.a,
dia: entry.b,
mean: round((entry.a + entry.b) / 2, 2),
}));
// Synthesise a daily-bucket-shaped BP-mean series so we can reuse
// pairDailyBuckets — derive dayOffset from the offsets in sysSeries.
const sysOffsetByDay = new Map(
sysSeries.daily.map((bucket) => {
const dayKey = dayOffsetToDayKey(now, bucket.dayOffset, userTz);
return [dayKey, bucket.dayOffset];
}),
);
const bpMeanDaily: DailyBucket[] = pairedSystolicDiastolic
.map((entry) => {
const dayOffset = sysOffsetByDay.get(entry.day);
if (dayOffset == null) return null;
return { dayOffset, value: entry.mean, n: 1 };
})
.filter((entry): entry is DailyBucket => entry !== null);
const weightVsMeanBpPairs = pairDailyBuckets(
weightSeries.daily,
bpMeanDaily,
now,
userTz,
);
const weightVsMeanBpCorrelation =
significantPearsonCorrelation(weightVsMeanBpPairs);
// daily[0] = newest bucket (lowest dayOffset).
const latestWeight = weightSeries.daily[0] ?? null;
@@ -454,61 +228,27 @@ export async function prepareWeightStatusForUser(
? dayOffsetToDayKey(now, latestWeight.dayOffset, userTz)
: null;
const sameDayBp = latestWeightDay
? (pairedSystolicDiastolic.find((entry) => entry.day === latestWeightDay) ??
? (pairs.systolicDiastolic.find((entry) => entry.day === latestWeightDay) ??
null)
: null;
const oldestMeasurement =
measurements.length > 0 ? measurements[0].measuredAt : null;
const newestMeasurement =
measurements.length > 0
? measurements[measurements.length - 1].measuredAt
: null;
const totalSpanDays =
oldestMeasurement && newestMeasurement
? Math.round(
(newestMeasurement.getTime() - oldestMeasurement.getTime()) /
(24 * 60 * 60 * 1000),
)
: 0;
const newestMeasurementDaysAgo = newestMeasurement
? Math.round(
(Date.now() - newestMeasurement.getTime()) / (24 * 60 * 60 * 1000),
)
: null;
const { totalSpanDays, newestDaysAgo: newestMeasurementDaysAgo } =
coverageSpan(
measurements.length > 0 ? measurements[0].measuredAt : null,
measurements.length > 0
? measurements[measurements.length - 1].measuredAt
: null,
);
// v1.18.10 — hand the model the finished recent-vs-baseline
// comparison + normal-swing verdict instead of asking it to derive them.
// Weight has no universal favourable direction or population band, so
// without a stored target the signal carries the neutral "target-band"
// framing and no normalRange. v1.39 (#1006) — with one, the direction is
// the person's own: below the band a rise is favourable, above it a fall.
const recentWeights = weightSeries.daily
.filter((bucket) => bucket.dayOffset < 7)
.map((bucket) => bucket.value);
const weightTargetFeature = buildWeightTargetFeature(
const { weightTargetFeature, weightSignal } = weightTargetAndSignal({
weightDaily: weightSeries.daily,
latestWeight,
weightTarget,
{
avg7:
recentWeights.length > 0
? recentWeights.reduce((sum, value) => sum + value, 0) /
recentWeights.length
: null,
latest: latestWeight?.value ?? null,
},
units.system,
);
const weightSignal = buildMetricSignal({
metric: locale === "en" ? "your weight" : "dein Gewicht",
unit: mass.displayUnit,
direction:
weightTargetFeature?.position === "below"
? "higher-better"
: weightTargetFeature?.position === "above"
? "lower-better"
: "target-band",
graded: weightGraded,
units,
mass,
weightGraded,
newestDaysAgo: newestMeasurementDaysAgo,
locale: ctx.locale,
});
const snapshot = {
@@ -560,11 +300,11 @@ export async function prepareWeightStatusForUser(
// Keep the correlation coefficients (computed over the full
// overlap) but cap the embedded pair arrays to the most recent
// paired days — the raw pair lists were a major payload driver.
pairedDaily: pairedSystolicDiastolic.slice(-CORRELATION_PAIR_CAP),
pairedDaily: pairs.systolicDiastolic.slice(-CORRELATION_PAIR_CAP),
},
weightVsSystolic: {
correlation: weightVsSystolicCorrelation,
pairs: weightVsSystolicPairs
correlation: pairs.weightVsSystolicCorrelation,
pairs: pairs.weightVsSystolic
.slice(-CORRELATION_PAIR_CAP)
.map((entry) => ({
day: entry.dayKey,
@@ -573,8 +313,8 @@ export async function prepareWeightStatusForUser(
})),
},
weightVsMeanBloodPressure: {
correlation: weightVsMeanBpCorrelation,
pairs: weightVsMeanBpPairs.slice(-CORRELATION_PAIR_CAP).map((entry) => ({
correlation: pairs.weightVsMeanBpCorrelation,
pairs: pairs.weightVsMeanBp.slice(-CORRELATION_PAIR_CAP).map((entry) => ({
day: entry.dayKey,
weight: toMass(round(entry.a, 2)),
meanBloodPressure: round(entry.b, 2),
@@ -600,158 +340,266 @@ export async function prepareWeightStatusForUser(
: null,
};
const shed = degradeStatusSnapshotToBudget(
snapshot as unknown as Record<string, unknown>,
{ maxChars: await statusSnapshotCharsForRecord(userId) },
);
const snapshotJson = JSON.stringify(snapshot);
annotate({
action: { name: cacheAction },
meta: {
payload_size_bytes: snapshotJson.length,
...(shed.length > 0 ? { snapshot_shed: shed } : {}),
},
});
// Content-hash gate (v1.16.8): when the snapshot is unchanged since the
// last real assessment, refresh the cache timestamp and skip the LLM.
const snapshotHash = hashInsightSnapshot(snapshot);
const unchanged = await refreshUnchangedStatusInsight({
userId,
cacheAction,
todayKey,
snapshotHash,
});
if (unchanged) {
return {
phase: "served",
result: {
hasProvider: true,
text: unchanged.text,
cached: true,
updatedAt: unchanged.updatedAt,
},
};
}
const previousContext = await getPreviousInsightContext(
userId,
"weight-status",
locale,
12,
);
const previousContextBlock = formatPreviousContextForPrompt(
previousContext,
locale,
);
// v1.12.7 — diversity / anti-repetition block (see blood-pressure-status).
const varietyLead = pickVarietyLead(userId, "weight", todayKey);
const steadyRun = computeSteadyRun(
canonicalWeightGraded.weekly,
canonicalWeightGraded.monthly,
);
const relations = await getRelevantCorrelationsForMetric(
userId,
"WEIGHT",
locale,
);
const assessmentContextBlock = buildAssessmentContextBlock(
{
varietyLead,
dataStrength: {
return {
snapshot,
inputHash,
finish: () => ({
context: {
repeatCount: computeSteadyRun(
canonicalWeightGraded.weekly,
canonicalWeightGraded.monthly,
),
points: weightSeries.daily.length,
newestDaysAgo: newestMeasurementDaysAgo,
relationsFor: "WEIGHT",
},
repeatCount: steadyRun,
relations,
},
locale,
);
// The provider call is deferred to the caller — the single-card path runs
// ONE completion, the batch path folds this prompt into one shared call.
// A timeout / error is a transient miss (fallback served, no assessment
// persisted); `none` (no provider / no consent) serves the no-key text.
return {
phase: "pending",
metric: "weight",
userId,
cacheAction,
systemPrompt: getWeightSystemPrompt(locale, units.system),
userPrompt: getWeightUserPrompt(
snapshotJson,
todayKey,
locale,
previousContextBlock,
assessmentContextBlock,
// v1.28.40 — rotating opener hint, per (user, metric, day).
openerArchetypeHint(`${userId}:weight:${todayKey}`, locale as Locale),
),
snapshotHash,
// v1.12.7 — match the archetype cards' 0.45.
temperature: 0.45,
noProvider: {
hasProvider: false,
text: getNoKeyWeightStatusText(locale, weightSignal),
cached: true,
updatedAt: null,
},
timeout: (reason): StatusCardResult =>
returnTimeoutFallback({
cacheAction,
reason,
userId,
todayKey,
stubText: getNoKeyWeightStatusText(locale, weightSignal),
fallbackText: getNoKeyWeightStatusText(locale, weightSignal),
prompts: (snapshotJson, context) => ({
systemPrompt: getWeightSystemPrompt(locale, units.system),
userPrompt: getWeightUserPrompt(
snapshotJson,
todayKey,
locale,
context.previousContextBlock,
context.assessmentContextBlock,
context.openerHint,
),
}),
finalize: async (outcome): Promise<StatusCardResult> => {
// Outbound safety screen. The only transform here used to be
// whitespace-normalisation, so a dose-change imperative or a fabricated
// clinical risk score persisted as the day's cached assessment. Policy
// for a background-generated card is WITHHOLD: serve the deterministic
// stub and persist no model text (see `finalizeStatusSummary`).
const screened = finalizeStatusSummary(outcome.content, locale);
if (!screened.ok) {
annotate({
action: { name: "insights.status.outbound_blocked" },
meta: { cacheAction, reason: screened.reason },
});
return returnTimeoutFallback({
cacheAction,
reason: "screened",
userId: userId,
todayKey: todayKey,
stubText: getNoKeyWeightStatusText(locale, weightSignal),
});
}
const summary = screened.text;
if (!summary) {
throw new Error("Weight-status summary was empty after normalization");
}
const updatedAt = await persistStatusInsight({
userId,
cacheAction,
todayKey,
text: summary,
snapshotHash,
// v1.18.11 — persist the input fingerprint so tomorrow's input
// gate can skip the rebuild when nothing salient changed.
inputHash,
});
return {
hasProvider: true,
text: summary,
cached: false,
updatedAt,
};
},
detail: undefined,
}),
};
}
export function resolveWeightStatusLocale(
locale: string | null | undefined,
): SupportedLocale {
return normalizeLocale(locale);
/**
* The weight target feature and the finished recent-vs-baseline signal.
*/
function weightTargetAndSignal(args: {
weightDaily: DailyBucket[];
latestWeight: DailyBucket | null;
weightTarget: WeightInputs["weightTarget"];
units: UnitPreferences;
mass: DisplayTransform;
weightGraded: GradedSeries;
newestDaysAgo: number | null;
locale: SupportedLocale;
}) {
const { weightTarget, units, mass, weightGraded, locale } = args;
const newestMeasurementDaysAgo = args.newestDaysAgo;
const latestWeight = args.latestWeight;
// v1.18.10 — hand the model the finished recent-vs-baseline
// comparison + normal-swing verdict instead of asking it to derive them.
// Weight has no universal favourable direction or population band, so
// without a stored target the signal carries the neutral "target-band"
// framing and no normalRange. v1.39 (#1006) — with one, the direction is
// the person's own: below the band a rise is favourable, above it a fall.
const recentWeights = args.weightDaily
.filter((bucket) => bucket.dayOffset < 7)
.map((bucket) => bucket.value);
const weightTargetFeature = buildWeightTargetFeature(
weightTarget,
{
avg7:
recentWeights.length > 0
? recentWeights.reduce((sum, value) => sum + value, 0) /
recentWeights.length
: null,
latest: latestWeight?.value ?? null,
},
units.system,
);
const weightSignal = buildMetricSignal({
metric: locale === "en" ? "your weight" : "dein Gewicht",
unit: mass.displayUnit,
direction:
weightTargetFeature?.position === "below"
? "higher-better"
: weightTargetFeature?.position === "above"
? "lower-better"
: "target-band",
graded: weightGraded,
newestDaysAgo: newestMeasurementDaysAgo,
});
return { weightTargetFeature, weightSignal };
}
/**
* The weight snapshot's reads: weight and the two BP channels as daily
* buckets and graded series, and the mood context.
*/
async function readWeightSeries(
userId: string,
mass: DisplayTransform,
userTz: string,
) {
// v1.4.28 — cap the snapshot input. BP captures three types
// per day so 1095 = 365 d × 3 channels. Order desc + reverse so we
// keep the most recent year of rows.
const measurements = await prisma.measurement
.findMany({
where: {
userId,
type: {
in: ["WEIGHT", "BLOOD_PRESSURE_SYS", "BLOOD_PRESSURE_DIA"],
},
// Soft-deleted rows must never reach the prompt snapshot.
deletedAt: null,
},
take: 1095,
orderBy: { measuredAt: "desc" },
select: {
type: true,
value: true,
measuredAt: true,
},
})
.then((rows) => rows.reverse());
const now = new Date();
// v1.2.5 — every day-bucketing pass below keys on the user's own
// calendar day. `userTz` was already resolved above for the cache day-key.
const dailyOf = (type: string) =>
applyPayloadBudget(
measurements
.filter((measurement) => measurement.type === type)
.map((measurement) => ({
measuredAt: measurement.measuredAt,
value: measurement.value,
})),
{ now, tz: userTz },
);
const weightSeries = dailyOf("WEIGHT");
const sysSeries = dailyOf("BLOOD_PRESSURE_SYS");
const diaSeries = dailyOf("BLOOD_PRESSURE_DIA");
// Fetch mood context (optional — for enrichment only). v1.4.28
// Cap at 90 entries.
const moodEntries = await readRecentMoodScores(userId, 90);
const moodSeries = applyPayloadBudget(
moodEntries.map((entry) => ({
measuredAt: entry.moodLoggedAt,
value: entry.score,
})),
{ now, tz: userTz },
);
const moodSummary = summarizeSeries(
moodSeries.daily.map((bucket) => ({ value: bucket.value })),
);
const moodMean = moodSummary?.mean ?? null;
// Compact graded series for the prompt. The `*Series.daily` buckets
// above stay for the correlation pairing + latest-day focus; only the
// graded shape is embedded so the full daily arrays never ship.
//
// Weight + the two BP context channels source their recent / weekly
// slices from a bounded raw read and their monthly / yearly tail from
// the MONTH / YEAR rollup tier (with a full-history in-memory fallback
// on a cold-tier coverage miss). Mood has no rollup tier, so it stays
// an in-memory fold.
const [canonicalWeightGraded, sysGraded, diaGraded] = await Promise.all([
buildGradedSeriesWithRollups(userId, "WEIGHT", now, userTz),
buildGradedSeriesWithRollups(userId, "BLOOD_PRESSURE_SYS", now, userTz),
buildGradedSeriesWithRollups(userId, "BLOOD_PRESSURE_DIA", now, userTz),
]);
const weightGraded = transformRescales(mass)
? convertGradedSeries(canonicalWeightGraded, mass, mass.decimals)
: canonicalWeightGraded;
const moodGraded = buildGradedSeriesFromPoints(
moodSeries.daily.map((b) => ({
measuredAt: canonicalDailyTimestamp(
dayOffsetToDayKey(now, b.dayOffset, userTz),
userTz,
),
value: b.value,
})),
now,
userTz,
);
return {
now,
measurements,
weightSeries,
sysSeries,
diaSeries,
moodSeries,
moodMean,
canonicalWeightGraded,
weightGraded,
sysGraded,
diaGraded,
moodGraded,
};
}
/**
* Weight against the two BP channels: the paired systolic / diastolic days,
* weight against systolic, and weight against the daily BP mean, each with
* its significance-gated correlation.
*/
function pairWeightWithBloodPressure(
weightDaily: DailyBucket[],
sysDaily: DailyBucket[],
diaDaily: DailyBucket[],
now: Date,
userTz: string,
) {
const weightVsSystolic = pairDailyBuckets(weightDaily, sysDaily, now, userTz);
const weightVsSystolicCorrelation =
significantPearsonCorrelation(weightVsSystolic);
const systolicDiastolic = pairDailyBuckets(
sysDaily,
diaDaily,
now,
userTz,
).map((entry) => ({
day: entry.dayKey,
sys: entry.a,
dia: entry.b,
mean: round((entry.a + entry.b) / 2, 2),
}));
// Synthesise a daily-bucket-shaped BP-mean series so we can reuse
// pairDailyBuckets — derive dayOffset from the offsets in sysSeries.
const sysOffsetByDay = new Map(
sysDaily.map((bucket) => {
const dayKey = dayOffsetToDayKey(now, bucket.dayOffset, userTz);
return [dayKey, bucket.dayOffset];
}),
);
const bpMeanDaily: DailyBucket[] = systolicDiastolic
.map((entry) => {
const dayOffset = sysOffsetByDay.get(entry.day);
if (dayOffset == null) return null;
return { dayOffset, value: entry.mean, n: 1 };
})
.filter((entry): entry is DailyBucket => entry !== null);
const weightVsMeanBp = pairDailyBuckets(
weightDaily,
bpMeanDaily,
now,
userTz,
);
const weightVsMeanBpCorrelation =
significantPearsonCorrelation(weightVsMeanBp);
return {
weightVsSystolic,
weightVsSystolicCorrelation,
systolicDiastolic,
weightVsMeanBp,
weightVsMeanBpCorrelation,
};
}
const WEIGHT_STATUS_CARD: StatusCardPlugin<StatusTextResult, undefined> = {
scope: "weight",
codec: textStatusCodec,
unavailableText: (locale) => getNoKeyWeightStatusText(locale),
emptyMessage: "Weight-status summary was empty after normalization",
build: buildWeightSnapshot,
};