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Marc-André BombeckandMarc-André Bombeck
14cbc69a2d
Extends the v1.4 AI insights memory pattern established in PR #129 (general-status, blood-pressure-status) to the rest of the insight surfaces. Each generator now reads its previous cached narrative via `getPreviousInsightContext()` and injects the formatted block into the user prompt so the model can call out improvements / regressions relative to the user's last analysis instead of restating the status from scratch every day. Scopes wired in this commit: - weight-status - pulse-status - bmi-status - mood-status - medication-compliance-status No UI changes are needed — the insights card already renders the comparison phrases the model emits. No schema change either; the helper reads from the existing audit-log cache rows each generator already writes to. Co-authored-by: Marc-André Bombeck <noreply@anthropic.com>
50 lines
2.4 KiB
TypeScript
50 lines
2.4 KiB
TypeScript
import type { Locale } from "@/lib/i18n/config";
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import { getBaseSystemPrompt } from "./base-system";
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const MOOD_SECTION_DE = `FACHSPEZIFISCH -- STIMMUNG/WOHLBEFINDEN:
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- Stimmungsskala: 1 (sehr schlecht) bis 5 (sehr gut), Tagesmittelwerte.
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- Trend-Stabilitat: Schwankungen < 0.5 Punkte uber 7 Tage sind normal.
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- Anhaltende Phasen: Mehr als 3 Tage unter 2.5 oder uber 4.5 sind auffallig.
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- Zusammenhange: Stimmung korreliert haufig mit Schlaf, Aktivitat, Blutdruck und Medikamenten-Compliance.
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- Tags: Falls Stimmungs-Tags vorhanden sind, prufe ob bestimmte Tags mit Stimmungslevels korrelieren.
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- Cross-Metrik: Korrelationen zu Gewicht, Blutdruck oder Puls nur erwähnen wenn der jeweilige r-Wert im Snapshot vorhanden und |r| > 0.4 ist. Falls das Feld nicht im Snapshot vorhanden ist, keine Korrelation interpretieren oder erfinden.
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- Erzwinge keine Querverweise wenn kein klares Muster erkennbar ist.`;
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const MOOD_SECTION_EN = `DOMAIN — MOOD / WELL-BEING:
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- Mood scale: 1 (very bad) to 5 (very good), daily means.
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- Trend stability: Swings < 0.5 points over 7 days are normal.
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- Persistent phases: More than 3 days below 2.5 or above 4.5 are notable.
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- Associations: Mood often correlates with sleep, activity, blood pressure and medication compliance.
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- Tags: If mood tags are present, check whether specific tags align with mood levels.
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- Cross-metric: Mention correlations to weight, blood pressure or pulse only when the relevant r-value is present in the snapshot and |r| > 0.4. If the field is missing, do not interpret or invent a correlation.
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- Do not force cross-links when no clear pattern is visible.`;
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export function getMoodSystemPrompt(locale: Locale): string {
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const section = locale === "en" ? MOOD_SECTION_EN : MOOD_SECTION_DE;
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return `${getBaseSystemPrompt(locale)}
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${section}`;
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}
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export function getMoodUserPrompt(
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snapshotJson: string,
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todayKey: string,
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locale: Locale,
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previousContextBlock?: string,
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): string {
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const ctxBlock =
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previousContextBlock && previousContextBlock.trim().length > 0
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? `\n\n${previousContextBlock}\n`
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: "";
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if (locale === "en") {
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return `Date: ${todayKey} (Europe/Berlin)
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Analyse the mood data with focus on trend, stability and links to other health metrics.${ctxBlock}
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${snapshotJson}`;
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}
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return `Datum: ${todayKey} (Europe/Berlin)
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Analysiere die Stimmungsdaten mit Fokus auf Trend, Stabilitat und Zusammenhange mit anderen Gesundheitsmetriken.${ctxBlock}
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${snapshotJson}`;
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}
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