lorentz
8f8b5ab7be
Multi-stage LLM pipeline that produces structured analyses of Autotask tickets from local Postgres. Migration 069 + Zod schemas, Stage 0 preprocessor, IT Glue redaction + search, Anthropic SDK wrapper, Stages 1/3/4 (Haiku/Sonnet/Opus), pipeline + cost circuit breaker, job worker (opt-in autostart), 6 API routes, 3 frontend pages, share-row persistence (email send deferred to phase 7). 128 vitest tests, tsc clean. Build journal in docs/wulf-pulse-ticket-analyzer-build-notes.md. Sync: adds syncTicketNotes() + ticket_notes to ordered/date-filtered entities so the analyzer's local mirror stays current via scheduler. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
25 lines
851 B
TypeScript
25 lines
851 B
TypeScript
/**
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* GET /api/analyzer/needs-review
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*
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* Returns the queue of completed analyses where needs_human_review = true.
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* Optional query params: limit (default 50, max 200), offset (default 0).
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*/
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import { NextRequest, NextResponse } from 'next/server';
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import { requireAuth } from '@/lib/auth-utils';
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import { listNeedsReview } from '@/lib/services/analyzer/persistence';
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export async function GET(request: NextRequest) {
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const { error } = await requireAuth();
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if (error) return error;
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const params = request.nextUrl.searchParams;
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const limit = parseInt(params.get('limit') ?? '50', 10);
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const offset = parseInt(params.get('offset') ?? '0', 10);
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const analyses = await listNeedsReview({
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limit: Number.isFinite(limit) ? limit : 50,
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offset: Number.isFinite(offset) ? offset : 0,
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});
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return NextResponse.json({ analyses });
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}
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