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>
This commit is contained in:
Till JS 2026-04-18 15:37:28 +02:00
parent 2f226a93aa
commit 2c0d866287
5 changed files with 406 additions and 0 deletions

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@ -1,5 +1,7 @@
import type { ModuleTool } from '$lib/data/tools/types';
import { eventsStore } from './stores/events.svelte';
import { discoveryStore } from './discovery/store.svelte';
import * as discoveryApi from './discovery/api';
export const socialEventsTools: ModuleTool[] = [
{
@ -26,4 +28,120 @@ export const socialEventsTools: ModuleTool[] = [
: { success: false, message: result.error ?? 'Fehler' };
},
},
// ── Event Discovery (Phase 3) ───────────────────────────────
{
name: 'discover_events',
module: 'events',
description:
'Sucht oeffentliche Veranstaltungen in den konfigurierten Regionen des Nutzers. Gibt Events mit Titel, Datum, Ort, Kategorie und Quelle zurueck.',
parameters: [
{
name: 'query',
type: 'string',
description: 'Optionaler Suchtext (z.B. "Jazz Konzerte")',
required: false,
},
{
name: 'category',
type: 'string',
description: 'Kategorie-Filter',
required: false,
},
{
name: 'days_ahead',
type: 'number',
description: 'Wie viele Tage voraus suchen (Standard: 14)',
required: false,
},
],
async execute(params) {
const daysAhead = (params.days_ahead as number) ?? 14;
const to = new Date(Date.now() + daysAhead * 86_400_000).toISOString();
const feedParams: discoveryApi.FeedParams = {
to,
hideDismissed: true,
limit: 20,
};
if (params.category) feedParams.category = params.category as string;
const result = await discoveryApi.getFeed(feedParams);
const events = result.events.map((e) => ({
id: e.id,
title: e.title,
date: e.startAt,
location: e.location,
category: e.category,
source: e.sourceName,
sourceUrl: e.sourceUrl,
priceInfo: e.priceInfo,
}));
if (events.length === 0) {
return {
success: true,
data: { events: [] },
message: 'Keine Events in den konfigurierten Regionen gefunden.',
};
}
const summary = events
.slice(0, 10)
.map(
(e) =>
`- ${e.title} (${new Date(e.date).toLocaleDateString('de-DE')}${e.location ? `, ${e.location}` : ''})`
)
.join('\n');
return {
success: true,
data: { events, total: result.total },
message: `${events.length} Events gefunden:\n${summary}`,
};
},
},
{
name: 'suggest_event',
module: 'events',
description:
'Schlaegt dem Nutzer ein entdecktes Event vor. Erstellt ein Proposal das der Nutzer bestaetigen muss, um das Event in seinen Kalender zu uebernehmen.',
parameters: [
{
name: 'discovered_event_id',
type: 'string',
description: 'ID des entdeckten Events',
required: true,
},
{
name: 'reason',
type: 'string',
description: 'Begruendung warum dieses Event relevant ist',
required: false,
},
],
async execute(params) {
const eventId = params.discovered_event_id as string;
const reason = params.reason as string | undefined;
// Load the event from the feed to get its details
const result = await discoveryApi.getFeed({ limit: 100 });
const event = result.events.find((e) => e.id === eventId);
if (!event) {
return { success: false, message: `Event ${eventId} nicht gefunden` };
}
// Save the event (creates a local socialEvent)
await discoveryStore.saveEvent(eventId);
const msg = reason
? `Event "${event.title}" vorgeschlagen: ${reason}`
: `Event "${event.title}" vorgeschlagen`;
return {
success: true,
data: { eventId, title: event.title, date: event.startAt },
message: msg,
};
},
},
];

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@ -0,0 +1,92 @@
import { AI_PROPOSABLE_TOOL_NAMES } from '../../policy/proposable-tools';
import type { AgentTemplate } from './types';
import type { AiPolicy } from '../../policy/types';
/**
* Event-Scout agent discovers public events in the user's configured
* regions and suggests the most relevant ones. Runs daily or on-demand.
*
* discover_events is auto (read-only, feeds context to the planner).
* suggest_event is propose (creates a proposal the user must approve).
*/
const EVENT_SCOUT_POLICY: AiPolicy = {
tools: {
...Object.fromEntries(AI_PROPOSABLE_TOOL_NAMES.map((n) => [n, 'deny' as const])),
discover_events: 'auto',
suggest_event: 'propose',
},
defaultsByModule: {
events: 'propose',
},
defaultForAi: 'deny',
};
export const eventScoutTemplate: AgentTemplate = {
id: 'event-scout',
version: '1',
icon: '🎪',
label: 'Event-Scout',
tagline: 'Findet Events in deiner Region und schlaegt passende vor',
description: `Der Event-Scout durchsucht deine konfigurierten Regionen nach oeffentlichen Veranstaltungen und schlaegt dir die relevantesten vor.
Voraussetzung: Richte mindestens eine Region und Interessen im Events-Modul unter "Entdecken" ein.
Der Agent:
1. Liest deine Event-Discovery-Feeds (automatisch, ohne Nachfrage)
2. Waehlt die 3-5 relevantesten Events aus
3. Schlaegt sie dir als Proposals vor du entscheidest was in deinen Kalender kommt`,
category: 'ai',
color: '#8B5CF6',
agent: {
name: 'Event-Scout',
avatar: '🎪',
role: 'Findet oeffentliche Events in deinen Regionen und schlaegt passende vor',
systemPrompt: `Du bist ein Event-Scout. Deine Aufgabe ist es, relevante oeffentliche Veranstaltungen in den Regionen des Nutzers zu finden und die besten vorzuschlagen.
Vorgehen:
1. Nutze discover_events um die aktuellen Events in den Regionen des Nutzers abzurufen.
2. Bewerte die Events nach Relevanz: Passen sie zu den Interessen? Sind sie zeitlich nah? Besonders interessant?
3. Waehle die 3-5 besten Events aus.
4. Nutze suggest_event fuer jedes ausgewaehlte Event. Gib eine kurze Begruendung warum es relevant ist.
Qualitaetskriterien:
- Bevorzuge Events die zeitlich nah sind (naechste 7 Tage > naechste 14 Tage)
- Bevorzuge Events die zu den Interessen des Nutzers passen
- Variiere die Kategorien nicht 5x das gleiche Genre
- Schreib die Begruendung auf Deutsch, kurz und konkret`,
memory: `# Event-Scout Einstellungen
(Hier kannst du festhalten welche Art von Events dich besonders interessiert,
welche du lieber nicht vorgeschlagen bekommst, bevorzugte Wochentage etc.)
`,
policy: EVENT_SCOUT_POLICY,
maxConcurrentMissions: 1,
},
scene: {
name: 'Event-Entdeckung',
description: 'Events finden und vorschlagen',
openApps: [
{ appId: 'events', widthPx: 540 },
{ appId: 'ai-missions', widthPx: 440 },
{ appId: 'calendar', widthPx: 440 },
],
},
missions: [
{
title: 'Events der Woche',
objective:
'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.',
conceptMarkdown: `# Woechentlicher Event-Check
Der Event-Scout prueft die konfigurierten Regionen auf neue Veranstaltungen
und schlaegt die relevantesten vor. Jeder Vorschlag erscheint als Proposal
du entscheidest was in deinen Kalender kommt.
**Voraussetzung:** Mindestens eine Region und Interessen muessen im Events-Modul
unter dem Tab "Entdecken" eingerichtet sein.`,
cadence: { kind: 'daily' },
startPaused: true,
},
],
};

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@ -13,6 +13,7 @@ import { todayTemplate } from './today';
import { calmnessTemplate } from './calmness';
import { fitnessTemplate } from './fitness';
import { deepWorkTemplate } from './deep-work';
import { eventScoutTemplate } from './event-scout';
export type {
// Generalised names (T1 of workbench-templates plan):
@ -38,6 +39,7 @@ export const ALL_TEMPLATES = [
calmnessTemplate,
fitnessTemplate,
deepWorkTemplate,
eventScoutTemplate,
] as const;
export {
@ -47,6 +49,7 @@ export {
calmnessTemplate,
fitnessTemplate,
deepWorkTemplate,
eventScoutTemplate,
};
/** 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[] = [
},
],
},
// ── Event Discovery ─────────────────────────────────────────
{
name: 'discover_events',
module: 'events',
description:
'Sucht oeffentliche Veranstaltungen in den konfigurierten Regionen des Nutzers. Gibt Events mit Titel, Datum, Ort, Kategorie und Quelle zurueck.',
defaultPolicy: 'auto',
parameters: [
{
name: 'query',
type: 'string',
description: 'Optionaler Suchtext (z.B. "Jazz Konzerte")',
required: false,
},
{
name: 'category',
type: 'string',
description: 'Kategorie-Filter',
required: false,
enum: [
'music',
'theater',
'art',
'tech',
'sport',
'food',
'family',
'nature',
'education',
'community',
'nightlife',
'market',
'other',
],
},
{
name: 'days_ahead',
type: 'number',
description: 'Wie viele Tage voraus suchen (Standard: 14)',
required: false,
},
],
},
{
name: 'suggest_event',
module: 'events',
description:
'Schlaegt dem Nutzer ein entdecktes Event vor. Erstellt ein Proposal das der Nutzer bestaetigen muss, um das Event in seinen Kalender zu uebernehmen.',
defaultPolicy: 'propose',
parameters: [
{
name: 'discovered_event_id',
type: 'string',
description: 'ID des entdeckten Events',
required: true,
},
{
name: 'reason',
type: 'string',
description: 'Begruendung warum dieses Event relevant ist',
required: false,
},
],
},
];
// ═══════════════════════════════════════════════════════════════

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@ -0,0 +1,128 @@
/**
* Feedback loop aggregate save/dismiss ratios per category and source
* to build an implicit user profile for better relevance scoring.
*
* The profile is computed on-demand from discovery_user_actions joined
* with discovered_events. No separate table needed the action history
* IS the profile.
*/
import { eq, sql } from 'drizzle-orm';
import type { Database } from '../db/connection';
import { discoveryUserActions, discoveredEvents } from '../db/schema/discovery';
/** Per-category affinity based on save/dismiss ratio. */
export interface CategoryAffinity {
category: string;
saves: number;
dismisses: number;
/** 0.02.0 multiplier: >1 means user likes this category, <1 means dislikes. */
weight: number;
}
/** Per-source quality based on save/dismiss ratio. */
export interface SourceQuality {
sourceId: string;
sourceName: string | null;
saves: number;
dismisses: number;
/** 0.02.0 multiplier. Sources with high dismiss rate get penalized. */
weight: number;
}
export interface UserProfile {
categoryAffinities: CategoryAffinity[];
sourceQualities: SourceQuality[];
totalActions: number;
}
/**
* Compute an implicit user profile from their save/dismiss history.
* Returns category affinities and source quality metrics.
*
* Requires at least 5 actions to be meaningful returns empty profile
* if insufficient data.
*/
export async function computeUserProfile(db: Database, userId: string): Promise<UserProfile> {
// Count total actions to check if we have enough data
const countResult = await db
.select({ count: sql<number>`count(*)::int` })
.from(discoveryUserActions)
.where(eq(discoveryUserActions.userId, userId));
const totalActions = countResult[0]?.count ?? 0;
if (totalActions < 5) {
return { categoryAffinities: [], sourceQualities: [], totalActions };
}
// Category affinities: group by category, count saves/dismisses
const categoryRows = await db.execute(sql`
SELECT
de.category,
COUNT(*) FILTER (WHERE dua.action = 'save') AS saves,
COUNT(*) FILTER (WHERE dua.action = 'dismiss') AS dismisses
FROM event_discovery.discovery_user_actions dua
JOIN event_discovery.discovered_events de ON de.id = dua.event_id
WHERE dua.user_id = ${userId} AND de.category IS NOT NULL
GROUP BY de.category
ORDER BY saves DESC
`);
const categoryAffinities: CategoryAffinity[] = (
categoryRows as unknown as Array<{
category: string;
saves: string;
dismisses: string;
}>
).map((row) => {
const saves = parseInt(row.saves, 10);
const dismisses = parseInt(row.dismisses, 10);
const total = saves + dismisses;
// Weight: ratio of saves to total, scaled to 02 range
// 100% saves → 2.0, 50% → 1.0, 0% → 0.2 (floor)
const ratio = total > 0 ? saves / total : 0.5;
return {
category: row.category,
saves,
dismisses,
weight: Math.max(0.2, ratio * 2),
};
});
// Source quality: group by source, count saves/dismisses
const sourceRows = await db.execute(sql`
SELECT
de.source_id,
de.source_name,
COUNT(*) FILTER (WHERE dua.action = 'save') AS saves,
COUNT(*) FILTER (WHERE dua.action = 'dismiss') AS dismisses
FROM event_discovery.discovery_user_actions dua
JOIN event_discovery.discovered_events de ON de.id = dua.event_id
WHERE dua.user_id = ${userId}
GROUP BY de.source_id, de.source_name
ORDER BY saves DESC
`);
const sourceQualities: SourceQuality[] = (
sourceRows as unknown as Array<{
source_id: string;
source_name: string | null;
saves: string;
dismisses: string;
}>
).map((row) => {
const saves = parseInt(row.saves, 10);
const dismisses = parseInt(row.dismisses, 10);
const total = saves + dismisses;
const ratio = total > 0 ? saves / total : 0.5;
return {
sourceId: row.source_id,
sourceName: row.source_name,
saves,
dismisses,
weight: Math.max(0.2, ratio * 2),
};
});
return { categoryAffinities, sourceQualities, totalActions };
}