feat: auto-detect events, seva tasks, and FAQs from WhatsApp messages
Adds the AI-driven content pipeline so portal content is never manually created — the system proposes it, admins review and approve. Worker: - `tower.event.extract` queue + Event Extractor processor: LLM extracts event title/date/time/location from messages with #event hashtag, date/time patterns, RSVP phrases, or location terms; seva action items within event messages become separate SEVA_TASK drafts - `tower.faq.candidate` queue + FAQ Curator processor: LLM extracts Q&A pairs from messages with question patterns + meaningful answer length - `classify.processor.ts`: `isEventCandidate()` and `isFaqCandidate()` run after rule matching on all non-spam, non-DNC messages; candidates are enqueued to the extraction lanes in parallel with normal routing - `match-rules.ts`: add P1 to TenantRuleRow action union so P1 rules are fully typed end-to-end - `NormalizedMessage`: add `quotedPlatformMsgId` field - `IngestJobData.effectiveAction`: add `'P1'` to the union Schema: - `ContentDraft` model with `DraftType` (EVENT|SEVA_TASK|FAQ_ITEM) and `DraftStatus` (PENDING_REVIEW|APPROVED|REJECTED); carries `proposedJson` from the LLM, `confidence` score, and `publishedId` after approval - Migration: `20260617270000_add_content_drafts` API: - `DraftsModule`: `GET /admin/drafts`, `POST /admin/drafts/:id/approve`, `POST /admin/drafts/:id/reject`; approve creates the actual Event/SevaOpportunity/KnowledgeItem and marks the draft APPROVED; reject marks it REJECTED — both audit-logged Web: - `/admin/drafts` and `/drafts` — tabbed view by type (All/Events/Seva/FAQ) - `DraftCard` — shows source message excerpt, AI proposed content, and approve/reject buttons; approve/reject immediately refresh the list - "AI Drafts" added to both super-admin and tenant-admin sidebars - "AI Content Drafts" button added to admin dashboard Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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import { apiFetch } from '../../_lib/api';
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import { redirect } from 'next/navigation';
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import { getToken } from '../../_lib/api';
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import { DraftCard } from './DraftCard';
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import Link from 'next/link';
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type DraftType = 'EVENT' | 'SEVA_TASK' | 'FAQ_ITEM';
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interface Draft {
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id: string;
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type: DraftType;
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status: string;
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proposedJson: Record<string, any>;
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confidence: number | null;
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createdAt: string;
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sourceMessage: {
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id: string;
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content: string;
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senderName: string | null;
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createdAt: string;
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};
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}
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const TABS: { label: string; value: DraftType | 'ALL' }[] = [
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{ label: 'All', value: 'ALL' },
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{ label: 'Events', value: 'EVENT' },
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{ label: 'Seva Tasks', value: 'SEVA_TASK' },
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{ label: 'FAQs', value: 'FAQ_ITEM' },
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];
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async function fetchDrafts(type?: DraftType): Promise<Draft[]> {
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const query = new URLSearchParams({ status: 'PENDING_REVIEW' });
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if (type) query.set('type', type);
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const res = await apiFetch(`/admin/drafts?${query}`);
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if (!res.ok) return [];
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return (await res.json()) as Draft[];
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}
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export default async function DraftsPage({
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searchParams,
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}: {
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searchParams: Promise<{ type?: string }>;
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}) {
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const token = await getToken();
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if (!token) redirect('/login');
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const { type } = await searchParams;
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const activeType = (type as DraftType) ?? undefined;
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const drafts = await fetchDrafts(activeType);
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return (
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<div className="p-6 max-w-5xl mx-auto space-y-6">
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<div className="flex items-center justify-between">
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<div>
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<h1 className="text-xl font-semibold text-gray-900">AI Content Drafts</h1>
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<p className="text-sm text-gray-500 mt-0.5">
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Events, seva tasks, and FAQs auto-detected from WhatsApp messages
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</p>
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</div>
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<Link href="/admin" className="text-sm text-indigo-600 hover:underline">← Admin</Link>
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</div>
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{/* Type filter tabs */}
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<div className="flex gap-1 border-b border-gray-200">
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{TABS.map((tab) => {
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const href = tab.value === 'ALL' ? '/admin/drafts' : `/admin/drafts?type=${tab.value}`;
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const isActive = (tab.value === 'ALL' && !activeType) || tab.value === activeType;
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return (
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<Link
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key={tab.value}
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href={href}
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className={`px-4 py-2 text-sm font-medium border-b-2 -mb-px transition-colors ${
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isActive
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? 'border-indigo-600 text-indigo-600'
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: 'border-transparent text-gray-500 hover:text-gray-700'
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}`}
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>
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{tab.label}
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</Link>
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);
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})}
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</div>
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{drafts.length === 0 ? (
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<div className="text-center py-20 text-gray-400">
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<p className="text-sm font-medium">No pending drafts</p>
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<p className="text-xs mt-1">
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Drafts appear here when the AI detects events, volunteer asks, or FAQ patterns in group messages.
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</p>
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</div>
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) : (
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<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
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{drafts.map((d) => (
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<DraftCard key={d.id} draft={d} />
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))}
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</div>
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)}
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</div>
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);
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}
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