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* chore: libpg-query types * feat: improved rls ai tests * feat: simplify assertitions for sql expressions * refactor: split ai logic into separate files * feat(rls-ai): test select, insert, update, delete policies * feat: adds withMetadata wrapper for failed tests * chore: remove custom libpg-query types * feat(rls-ai): make tests concurrent * fix(rls-ai): rules for 'using' and 'with check' * feat(rls-ai): discourages restrictive policies * feat(ai): makes withMetadata util sync or async * refactor(ai): moves withMetadata to generic test utils * feat(rls-ai): test joined table * feat(rls-ai): test mfa * chore(ai): make all tests concurrent * fix(ai): chatSql function rename in studio * refactor(ai): isolate logic into separate files * chore(ai): remove trailing comma in tsconfig * chore(ai): remove unused dep * Reset some of the package versions to the versions from master. * chore(ai): remove unused imports --------- Co-authored-by: Ivan Vasilov <vasilov.ivan@gmail.com>
71 lines
1.8 KiB
TypeScript
71 lines
1.8 KiB
TypeScript
import { StreamingTextResponse } from 'ai'
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import { chatSql } from 'ai-commands/edge'
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import { NextRequest } from 'next/server'
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import OpenAI from 'openai'
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export const runtime = 'edge'
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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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messages: { content: string; role: 'user' | 'assistant' }[]
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existingSql?: string
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entityDefinitions: string[]
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}>)
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const { messages, existingSql, entityDefinitions } = body
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try {
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const stream = await chatSql(openai, messages, existingSql, entityDefinitions)
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return new StreamingTextResponse(stream)
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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(
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JSON.stringify({
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error: 'There was an error processing your request',
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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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}
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