Files
supabase/studio/pages/api/ai/sql/title.ts
T

153 lines
4.3 KiB
TypeScript

import { SchemaBuilder } from '@serafin/schema-builder'
import { stripIndent } from 'common-tags'
import { isError } from 'data/utils/error-check'
import apiWrapper from 'lib/api/apiWrapper'
import { NextApiRequest, NextApiResponse } from 'next'
import type {
ChatCompletionRequestMessage,
CreateChatCompletionRequest,
CreateChatCompletionResponse,
ErrorResponse,
} from 'openai'
const openAiKey = process.env.OPENAI_KEY
const generateTitleSchema = SchemaBuilder.emptySchema()
.addString('title', {
description: stripIndent`
The generated title for the SQL snippet (short and concise).
- Omit these words: 'SQL', 'Postgres', 'Query', 'Database'
`,
})
.addString('description', {
description: stripIndent`
The generated description for the SQL snippet (longer and more detailed than title).
- Read the SQL line by line and summarize it
`,
})
type GenerateTitleResult = typeof generateTitleSchema.T
const completionFunctions = {
generateTitle: {
name: 'generateTitle',
description: 'Generates a short title and detailed description for a Postgres SQL snippet',
parameters: generateTitleSchema.schema,
},
}
async function handler(req: NextApiRequest, res: NextApiResponse) {
if (!openAiKey) {
return res.status(500).json({
error: 'No OPENAI_KEY set. Create this environment variable to use AI features.',
})
}
const { method } = req
switch (method) {
case 'POST':
return handlePost(req, res)
default:
res.setHeader('Allow', ['POST'])
res.status(405).json({ data: null, error: { message: `Method ${method} Not Allowed` } })
}
}
export async function handlePost(req: NextApiRequest, res: NextApiResponse) {
const {
body: { sql },
} = req
const model = 'gpt-3.5-turbo-0613'
const maxCompletionTokenCount = 1024
const completionMessages: ChatCompletionRequestMessage[] = [
{
role: 'user',
content: sql,
},
]
const completionOptions: CreateChatCompletionRequest = {
model,
messages: completionMessages,
max_tokens: maxCompletionTokenCount,
temperature: 0,
function_call: {
name: completionFunctions.generateTitle.name,
},
functions: [completionFunctions.generateTitle],
stream: false,
}
const response = await fetch('https://api.openai.com/v1/chat/completions', {
headers: {
Authorization: `Bearer ${openAiKey}`,
'Content-Type': 'application/json',
},
method: 'POST',
body: JSON.stringify(completionOptions),
})
if (!response.ok) {
const errorResponse: ErrorResponse = await response.json()
console.error(`AI title generation failed: ${errorResponse.error.message}`)
if ('code' in errorResponse.error && errorResponse.error.code === 'context_length_exceeded') {
return res.status(400).json({
error:
'Your SQL query is too large for Supabase AI to ingest. Try splitting it into smaller queries.',
})
}
return res.status(500).json({
error: 'There was an unknown error generating the snippet title. Please try again.',
})
}
const completionResponse: CreateChatCompletionResponse = await response.json()
const [firstChoice] = completionResponse.choices
const titleResponseString = firstChoice.message?.function_call?.arguments
if (!titleResponseString) {
console.error(
`AI title generation failed: OpenAI response succeeded, but response format was incorrect`
)
return res.status(500).json({
error: 'There was an unknown error generating the snippet title. Please try again.',
})
}
try {
const generateTitleResult: GenerateTitleResult = JSON.parse(titleResponseString)
if (!generateTitleResult.title) {
console.error(`AI title generation failed: Unable to generate title for the given SQL`)
res.status(400).json({
error: 'Unable to generate title',
})
}
return res.json(generateTitleResult)
} catch (error) {
console.error(
`AI SQL editing failed: ${
isError(error) ? error.message : 'An unknown error occurred'
}, titleResponseString: ${titleResponseString}`
)
return res.status(500).json({
error: 'There was an unknown error editing the SQL snippet. Please try again.',
})
}
}
const wrapper = (req: NextApiRequest, res: NextApiResponse) => apiWrapper(req, res, handler)
export default wrapper