Mark Henderson
6f79a88abd
Without this the bot PAT 403s on POST /orgs/{org}/repos, which is
the single most important operation — creating new project repos
inside the workspace's Gitea org.
Made-with: Cursor
95 lines
3.0 KiB
TypeScript
95 lines
3.0 KiB
TypeScript
import { NextResponse } from 'next/server';
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import { authSession } from "@/lib/auth/session-server";
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import { query } from '@/lib/db-postgres';
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import { createKnowledgeItem } from '@/lib/server/knowledge';
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import type { KnowledgeSourceMeta } from '@/lib/types/knowledge';
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const PROVIDER_MAP = new Set(['chatgpt', 'gemini', 'claude', 'cursor', 'vibn', 'other']);
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interface ImportAiChatRequest {
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title?: string;
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provider?: string;
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transcript?: string;
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sourceLink?: string | null;
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createdAtOriginal?: string | null;
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}
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export async function POST(
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request: Request,
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{ params }: { params: Promise<{ projectId: string }> },
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) {
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try {
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const { projectId } = await params;
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if (!projectId) {
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return NextResponse.json({ error: 'Missing projectId' }, { status: 400 });
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}
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const body = (await request.json()) as ImportAiChatRequest;
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const transcript = body.transcript?.trim();
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const provider = body.provider?.toLowerCase();
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if (!transcript) {
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return NextResponse.json({ error: 'transcript is required' }, { status: 400 });
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}
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const session = await authSession();
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if (!session?.user?.email) {
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return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });
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}
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const projectRows = await query(`SELECT id FROM fs_projects WHERE id = $1 LIMIT 1`, [projectId]);
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if (projectRows.length === 0) {
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return NextResponse.json({ error: 'Project not found' }, { status: 404 });
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}
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const origin = PROVIDER_MAP.has(provider ?? '') ? provider : 'other';
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const sourceMeta: KnowledgeSourceMeta = {
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origin: (origin as KnowledgeSourceMeta['origin']) ?? 'other',
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url: body.sourceLink ?? null,
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filename: body.title ?? null,
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createdAtOriginal: body.createdAtOriginal ?? null,
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importance: 'primary',
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tags: ['ai_chat'],
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};
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const knowledgeItem = await createKnowledgeItem({
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projectId,
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sourceType: 'imported_ai_chat',
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title: body.title ?? null,
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content: transcript,
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sourceMeta,
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});
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// Chunk and embed in background (don't block response)
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// This populates AlloyDB knowledge_chunks for vector search
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(async () => {
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try {
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const { writeKnowledgeChunksForItem } = await import('@/lib/server/vector-memory');
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await writeKnowledgeChunksForItem({
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id: knowledgeItem.id,
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projectId: knowledgeItem.projectId,
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content: knowledgeItem.content,
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sourceMeta: knowledgeItem.sourceMeta,
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});
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} catch (error) {
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// Log but don't fail the request
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console.error('[import-ai-chat] Failed to chunk/embed knowledge_item:', error);
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}
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})();
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return NextResponse.json({ knowledgeItem });
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} catch (error) {
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console.error('[import-ai-chat] Failed to import chat', error);
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return NextResponse.json(
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{
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error: 'Failed to import AI chat transcript',
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details: error instanceof Error ? error.message : String(error),
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},
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{ status: 500 },
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);
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}
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}
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