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feat(events): Phase 3 — AI tools, Event-Scout template, feedback loop
- Add discover_events (auto) and suggest_event (propose) to shared-ai tool catalog. discover_events reads the discovery feed, suggest_event creates a proposal to save a discovered event to the user's calendar. - Add Event-Scout agent template with daily "Events der Woche" mission. Policy: discover_events=auto, suggest_event=propose, all else denied. - Add frontend tool implementations in events/tools.ts — discover_events calls the feed API, suggest_event delegates to discoveryStore.saveEvent. - Add feedback.ts — computes implicit user profile from save/dismiss history (category affinity + source quality as 0–2x weight multipliers). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@ -1,5 +1,7 @@
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import type { ModuleTool } from '$lib/data/tools/types';
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import { eventsStore } from './stores/events.svelte';
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import { discoveryStore } from './discovery/store.svelte';
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import * as discoveryApi from './discovery/api';
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export const socialEventsTools: ModuleTool[] = [
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{
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@ -26,4 +28,120 @@ export const socialEventsTools: ModuleTool[] = [
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: { success: false, message: result.error ?? 'Fehler' };
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},
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},
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// ── Event Discovery (Phase 3) ───────────────────────────────
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{
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name: 'discover_events',
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module: 'events',
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description:
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'Sucht oeffentliche Veranstaltungen in den konfigurierten Regionen des Nutzers. Gibt Events mit Titel, Datum, Ort, Kategorie und Quelle zurueck.',
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parameters: [
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{
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name: 'query',
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type: 'string',
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description: 'Optionaler Suchtext (z.B. "Jazz Konzerte")',
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required: false,
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},
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{
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name: 'category',
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type: 'string',
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description: 'Kategorie-Filter',
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required: false,
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},
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{
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name: 'days_ahead',
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type: 'number',
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description: 'Wie viele Tage voraus suchen (Standard: 14)',
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required: false,
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},
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],
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async execute(params) {
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const daysAhead = (params.days_ahead as number) ?? 14;
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const to = new Date(Date.now() + daysAhead * 86_400_000).toISOString();
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const feedParams: discoveryApi.FeedParams = {
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to,
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hideDismissed: true,
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limit: 20,
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};
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if (params.category) feedParams.category = params.category as string;
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const result = await discoveryApi.getFeed(feedParams);
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const events = result.events.map((e) => ({
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id: e.id,
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title: e.title,
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date: e.startAt,
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location: e.location,
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category: e.category,
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source: e.sourceName,
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sourceUrl: e.sourceUrl,
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priceInfo: e.priceInfo,
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}));
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if (events.length === 0) {
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return {
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success: true,
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data: { events: [] },
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message: 'Keine Events in den konfigurierten Regionen gefunden.',
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};
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}
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const summary = events
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.slice(0, 10)
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.map(
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(e) =>
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`- ${e.title} (${new Date(e.date).toLocaleDateString('de-DE')}${e.location ? `, ${e.location}` : ''})`
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)
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.join('\n');
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return {
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success: true,
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data: { events, total: result.total },
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message: `${events.length} Events gefunden:\n${summary}`,
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};
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},
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},
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{
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name: 'suggest_event',
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module: 'events',
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description:
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'Schlaegt dem Nutzer ein entdecktes Event vor. Erstellt ein Proposal das der Nutzer bestaetigen muss, um das Event in seinen Kalender zu uebernehmen.',
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parameters: [
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{
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name: 'discovered_event_id',
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type: 'string',
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description: 'ID des entdeckten Events',
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required: true,
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},
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{
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name: 'reason',
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type: 'string',
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description: 'Begruendung warum dieses Event relevant ist',
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required: false,
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},
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],
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async execute(params) {
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const eventId = params.discovered_event_id as string;
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const reason = params.reason as string | undefined;
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// Load the event from the feed to get its details
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const result = await discoveryApi.getFeed({ limit: 100 });
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const event = result.events.find((e) => e.id === eventId);
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if (!event) {
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return { success: false, message: `Event ${eventId} nicht gefunden` };
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}
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// Save the event (creates a local socialEvent)
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await discoveryStore.saveEvent(eventId);
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const msg = reason
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? `Event "${event.title}" vorgeschlagen: ${reason}`
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: `Event "${event.title}" vorgeschlagen`;
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return {
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success: true,
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data: { eventId, title: event.title, date: event.startAt },
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message: msg,
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};
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},
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},
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];
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92
packages/shared-ai/src/agents/templates/event-scout.ts
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92
packages/shared-ai/src/agents/templates/event-scout.ts
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@ -0,0 +1,92 @@
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import { AI_PROPOSABLE_TOOL_NAMES } from '../../policy/proposable-tools';
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import type { AgentTemplate } from './types';
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import type { AiPolicy } from '../../policy/types';
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/**
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* Event-Scout agent — discovers public events in the user's configured
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* regions and suggests the most relevant ones. Runs daily or on-demand.
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*
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* discover_events is auto (read-only, feeds context to the planner).
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* suggest_event is propose (creates a proposal the user must approve).
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*/
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const EVENT_SCOUT_POLICY: AiPolicy = {
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tools: {
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...Object.fromEntries(AI_PROPOSABLE_TOOL_NAMES.map((n) => [n, 'deny' as const])),
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discover_events: 'auto',
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suggest_event: 'propose',
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},
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defaultsByModule: {
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events: 'propose',
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},
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defaultForAi: 'deny',
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};
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export const eventScoutTemplate: AgentTemplate = {
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id: 'event-scout',
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version: '1',
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icon: '🎪',
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label: 'Event-Scout',
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tagline: 'Findet Events in deiner Region und schlaegt passende vor',
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description: `Der Event-Scout durchsucht deine konfigurierten Regionen nach oeffentlichen Veranstaltungen und schlaegt dir die relevantesten vor.
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Voraussetzung: Richte mindestens eine Region und Interessen im Events-Modul unter "Entdecken" ein.
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Der Agent:
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1. Liest deine Event-Discovery-Feeds (automatisch, ohne Nachfrage)
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2. Waehlt die 3-5 relevantesten Events aus
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3. Schlaegt sie dir als Proposals vor — du entscheidest was in deinen Kalender kommt`,
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category: 'ai',
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color: '#8B5CF6',
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agent: {
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name: 'Event-Scout',
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avatar: '🎪',
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role: 'Findet oeffentliche Events in deinen Regionen und schlaegt passende vor',
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systemPrompt: `Du bist ein Event-Scout. Deine Aufgabe ist es, relevante oeffentliche Veranstaltungen in den Regionen des Nutzers zu finden und die besten vorzuschlagen.
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Vorgehen:
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1. Nutze discover_events um die aktuellen Events in den Regionen des Nutzers abzurufen.
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2. Bewerte die Events nach Relevanz: Passen sie zu den Interessen? Sind sie zeitlich nah? Besonders interessant?
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3. Waehle die 3-5 besten Events aus.
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4. Nutze suggest_event fuer jedes ausgewaehlte Event. Gib eine kurze Begruendung warum es relevant ist.
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Qualitaetskriterien:
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- Bevorzuge Events die zeitlich nah sind (naechste 7 Tage > naechste 14 Tage)
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- Bevorzuge Events die zu den Interessen des Nutzers passen
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- Variiere die Kategorien — nicht 5x das gleiche Genre
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- Schreib die Begruendung auf Deutsch, kurz und konkret`,
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memory: `# Event-Scout Einstellungen
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(Hier kannst du festhalten welche Art von Events dich besonders interessiert,
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welche du lieber nicht vorgeschlagen bekommst, bevorzugte Wochentage etc.)
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`,
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policy: EVENT_SCOUT_POLICY,
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maxConcurrentMissions: 1,
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},
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scene: {
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name: 'Event-Entdeckung',
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description: 'Events finden und vorschlagen',
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openApps: [
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{ appId: 'events', widthPx: 540 },
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{ appId: 'ai-missions', widthPx: 440 },
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{ appId: 'calendar', widthPx: 440 },
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],
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},
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missions: [
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{
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title: 'Events der Woche',
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objective:
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'Pruefe neue Events in meinen Regionen. Schlage die 3-5 relevantesten vor, die ich noch nicht gesehen habe. Begruende warum jedes Event fuer mich interessant sein koennte.',
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conceptMarkdown: `# Woechentlicher Event-Check
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Der Event-Scout prueft die konfigurierten Regionen auf neue Veranstaltungen
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und schlaegt die relevantesten vor. Jeder Vorschlag erscheint als Proposal —
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du entscheidest was in deinen Kalender kommt.
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**Voraussetzung:** Mindestens eine Region und Interessen muessen im Events-Modul
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unter dem Tab "Entdecken" eingerichtet sein.`,
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cadence: { kind: 'daily' },
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startPaused: true,
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},
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],
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};
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import { calmnessTemplate } from './calmness';
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import { fitnessTemplate } from './fitness';
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import { deepWorkTemplate } from './deep-work';
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import { eventScoutTemplate } from './event-scout';
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export type {
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// Generalised names (T1 of workbench-templates plan):
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calmnessTemplate,
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fitnessTemplate,
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deepWorkTemplate,
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eventScoutTemplate,
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] as const;
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export {
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calmnessTemplate,
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fitnessTemplate,
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deepWorkTemplate,
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eventScoutTemplate,
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};
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/** Lookup helper — returns the template matching the given id, or
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@ -886,6 +886,71 @@ export const AI_TOOL_CATALOG: readonly ToolSchema[] = [
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},
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],
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},
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// ── Event Discovery ─────────────────────────────────────────
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{
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name: 'discover_events',
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module: 'events',
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description:
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'Sucht oeffentliche Veranstaltungen in den konfigurierten Regionen des Nutzers. Gibt Events mit Titel, Datum, Ort, Kategorie und Quelle zurueck.',
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defaultPolicy: 'auto',
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parameters: [
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{
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name: 'query',
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type: 'string',
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description: 'Optionaler Suchtext (z.B. "Jazz Konzerte")',
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required: false,
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},
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{
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name: 'category',
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type: 'string',
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description: 'Kategorie-Filter',
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required: false,
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enum: [
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'music',
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'theater',
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'art',
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'tech',
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'sport',
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'food',
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'family',
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'nature',
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'education',
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'community',
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'nightlife',
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'market',
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'other',
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],
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},
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{
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name: 'days_ahead',
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type: 'number',
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description: 'Wie viele Tage voraus suchen (Standard: 14)',
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required: false,
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},
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],
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},
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{
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name: 'suggest_event',
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module: 'events',
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description:
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'Schlaegt dem Nutzer ein entdecktes Event vor. Erstellt ein Proposal das der Nutzer bestaetigen muss, um das Event in seinen Kalender zu uebernehmen.',
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defaultPolicy: 'propose',
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parameters: [
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{
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name: 'discovered_event_id',
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type: 'string',
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description: 'ID des entdeckten Events',
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required: true,
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},
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{
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name: 'reason',
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type: 'string',
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description: 'Begruendung warum dieses Event relevant ist',
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required: false,
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},
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],
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},
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];
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// ═══════════════════════════════════════════════════════════════
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128
services/mana-events/src/discovery/feedback.ts
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128
services/mana-events/src/discovery/feedback.ts
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/**
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* Feedback loop — aggregate save/dismiss ratios per category and source
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* to build an implicit user profile for better relevance scoring.
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*
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* The profile is computed on-demand from discovery_user_actions joined
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* with discovered_events. No separate table needed — the action history
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* IS the profile.
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*/
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import { eq, sql } from 'drizzle-orm';
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import type { Database } from '../db/connection';
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import { discoveryUserActions, discoveredEvents } from '../db/schema/discovery';
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/** Per-category affinity based on save/dismiss ratio. */
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export interface CategoryAffinity {
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category: string;
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saves: number;
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dismisses: number;
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/** 0.0–2.0 multiplier: >1 means user likes this category, <1 means dislikes. */
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weight: number;
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}
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/** Per-source quality based on save/dismiss ratio. */
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export interface SourceQuality {
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sourceId: string;
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sourceName: string | null;
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saves: number;
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dismisses: number;
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/** 0.0–2.0 multiplier. Sources with high dismiss rate get penalized. */
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weight: number;
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}
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export interface UserProfile {
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categoryAffinities: CategoryAffinity[];
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sourceQualities: SourceQuality[];
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totalActions: number;
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}
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/**
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* Compute an implicit user profile from their save/dismiss history.
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* Returns category affinities and source quality metrics.
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*
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* Requires at least 5 actions to be meaningful — returns empty profile
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* if insufficient data.
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*/
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export async function computeUserProfile(db: Database, userId: string): Promise<UserProfile> {
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// Count total actions to check if we have enough data
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const countResult = await db
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.select({ count: sql<number>`count(*)::int` })
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.from(discoveryUserActions)
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.where(eq(discoveryUserActions.userId, userId));
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const totalActions = countResult[0]?.count ?? 0;
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if (totalActions < 5) {
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return { categoryAffinities: [], sourceQualities: [], totalActions };
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}
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// Category affinities: group by category, count saves/dismisses
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const categoryRows = await db.execute(sql`
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SELECT
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de.category,
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COUNT(*) FILTER (WHERE dua.action = 'save') AS saves,
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COUNT(*) FILTER (WHERE dua.action = 'dismiss') AS dismisses
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FROM event_discovery.discovery_user_actions dua
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JOIN event_discovery.discovered_events de ON de.id = dua.event_id
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WHERE dua.user_id = ${userId} AND de.category IS NOT NULL
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GROUP BY de.category
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ORDER BY saves DESC
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`);
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const categoryAffinities: CategoryAffinity[] = (
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categoryRows as unknown as Array<{
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category: string;
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saves: string;
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dismisses: string;
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}>
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).map((row) => {
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const saves = parseInt(row.saves, 10);
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const dismisses = parseInt(row.dismisses, 10);
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const total = saves + dismisses;
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// Weight: ratio of saves to total, scaled to 0–2 range
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// 100% saves → 2.0, 50% → 1.0, 0% → 0.2 (floor)
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const ratio = total > 0 ? saves / total : 0.5;
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return {
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category: row.category,
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saves,
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dismisses,
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weight: Math.max(0.2, ratio * 2),
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};
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});
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// Source quality: group by source, count saves/dismisses
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const sourceRows = await db.execute(sql`
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SELECT
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de.source_id,
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de.source_name,
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COUNT(*) FILTER (WHERE dua.action = 'save') AS saves,
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COUNT(*) FILTER (WHERE dua.action = 'dismiss') AS dismisses
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FROM event_discovery.discovery_user_actions dua
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JOIN event_discovery.discovered_events de ON de.id = dua.event_id
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WHERE dua.user_id = ${userId}
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GROUP BY de.source_id, de.source_name
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ORDER BY saves DESC
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`);
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const sourceQualities: SourceQuality[] = (
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sourceRows as unknown as Array<{
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source_id: string;
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source_name: string | null;
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saves: string;
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dismisses: string;
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}>
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).map((row) => {
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const saves = parseInt(row.saves, 10);
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const dismisses = parseInt(row.dismisses, 10);
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const total = saves + dismisses;
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const ratio = total > 0 ? saves / total : 0.5;
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return {
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sourceId: row.source_id,
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sourceName: row.source_name,
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saves,
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dismisses,
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weight: Math.max(0.2, ratio * 2),
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};
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});
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return { categoryAffinities, sourceQualities, totalActions };
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}
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