39ca91f07a
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>
15 lines
540 B
TypeScript
15 lines
540 B
TypeScript
import { jsonResponse, apiFetch } from '../../../_lib/api';
|
|
|
|
export const dynamic = 'force-dynamic';
|
|
|
|
export async function GET(request: Request): Promise<Response> {
|
|
const { searchParams } = new URL(request.url);
|
|
const type = searchParams.get('type');
|
|
const status = searchParams.get('status') ?? 'PENDING_REVIEW';
|
|
const query = new URLSearchParams({ status });
|
|
if (type) query.set('type', type);
|
|
const res = await apiFetch(`/admin/drafts?${query}`);
|
|
const body = await res.json();
|
|
return jsonResponse(body, res.status);
|
|
}
|