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* Hook up RLS to new assistant if feature flag is enabled * Reset conversation if opening a different entity * Add prompt to use alter policy if policy definition is provided * Remove console log
108 lines
2.9 KiB
TypeScript
108 lines
2.9 KiB
TypeScript
import { StreamingTextResponse } from 'ai'
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import { chatRlsPolicy, chatSql } from 'ai-commands/edge'
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import { SupportedAssistantEntities } from 'components/ui/AIAssistantPanel/AIAssistant.types'
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import { DatabasePoliciesData } from 'data/database-policies/database-policies-query'
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import { NextRequest } from 'next/server'
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import OpenAI from 'openai'
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export const config = {
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runtime: 'edge',
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/* To avoid OpenAI errors, restrict to the Vercel Edge Function regions that
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overlap with the OpenAI API regions.
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Reference for Vercel regions: https://vercel.com/docs/edge-network/regions#region-list
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Reference for OpenAI regions: https://help.openai.com/en/articles/5347006-openai-api-supported-countries-and-territories
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*/
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regions: [
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'arn1',
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'bom1',
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'cdg1',
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'cle1',
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'cpt1',
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'dub1',
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'fra1',
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'gru1',
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'hnd1',
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'iad1',
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'icn1',
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'kix1',
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'lhr1',
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'pdx1',
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'sfo1',
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'sin1',
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'syd1',
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],
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}
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const openAiKey = process.env.OPENAI_API_KEY
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export default async function handler(req: NextRequest) {
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if (!openAiKey) {
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return new Response(
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JSON.stringify({
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error: 'No OPENAI_API_KEY set. Create this environment variable to use AI features.',
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}),
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{
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status: 500,
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headers: { 'Content-Type': 'application/json' },
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}
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)
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}
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const { method } = req
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switch (method) {
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case 'POST':
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return handlePost(req)
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default:
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return new Response(
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JSON.stringify({ data: null, error: { message: `Method ${method} Not Allowed` } }),
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{
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status: 405,
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headers: { 'Content-Type': 'application/json', Allow: 'POST' },
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}
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)
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}
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}
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async function handlePost(request: NextRequest) {
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const openai = new OpenAI({ apiKey: openAiKey })
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const body = await (request.json() as Promise<{
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context?: SupportedAssistantEntities
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messages: { content: string; role: 'user' | 'assistant' }[]
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existingSql?: string
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entityDefinitions: string[]
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existingPolicies?: DatabasePoliciesData
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}>)
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const { messages, existingSql, entityDefinitions, context, existingPolicies } = body
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try {
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if (context === 'rls-policies') {
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const stream = await chatRlsPolicy(
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openai,
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messages,
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entityDefinitions,
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existingPolicies ?? [],
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existingSql
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)
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return new StreamingTextResponse(stream)
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} else {
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const stream = await chatSql(openai, messages, existingSql, entityDefinitions, context)
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return new StreamingTextResponse(stream)
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}
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} catch (error) {
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if (error instanceof Error) {
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console.error(`AI SQL generation-v2 failed: ${error.message}`)
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} else {
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console.error(`AI SQL generation-v2 failed: ${error}`)
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}
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return new Response(JSON.stringify({ error: 'There was an error processing your request' }), {
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status: 500,
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headers: { 'Content-Type': 'application/json' },
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})
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}
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}
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