Files
supabase/apps/studio/pages/api/ai/sql/cron-v2.ts
Joshen Lim dc23320e43 Add sentry capture exception to apiWrapper (#47804)
## Context

As per PR title - also adjusts the imports for files consuming
`apiWrapper` to remove the default export for `apiWrapper`

Have tested locally by throwing an error in one of the API routes -
verified that the event shows up on Sentry

<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->
## Summary by CodeRabbit

* **Bug Fixes**
* API errors are now captured in Sentry before returning server error
responses, improving production visibility while keeping endpoint
behavior the same.
* **Tests**
* Added coverage to confirm rejected handler executions are reported to
Sentry and return the expected HTTP 500 JSON payload.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
2026-07-10 16:28:42 +08:00

114 lines
3.5 KiB
TypeScript

import { generateText, Output } from 'ai'
import { source } from 'common-tags'
import { NextApiRequest, NextApiResponse } from 'next'
import { z } from 'zod'
import { getModel } from '@/lib/ai/model'
import { DEFAULT_COMPLETION_MODEL } from '@/lib/ai/model.utils'
import { apiWrapper } from '@/lib/api/apiWrapper'
const cronSchema = z.object({
cron_expression: z.string().describe('The generated cron expression.'),
})
async function handler(req: NextApiRequest, res: NextApiResponse) {
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: { prompt },
} = req
if (!prompt) {
return res.status(400).json({
error: 'Prompt is required',
})
}
try {
const { modelParams, error: modelError } = await getModel({
provider: 'openai',
modelEntry: DEFAULT_COMPLETION_MODEL,
})
if (modelError) {
return res.status(500).json({ error: modelError.message })
}
const result = await generateText({
...modelParams,
output: Output.object({ schema: cronSchema }),
prompt: source`
You are a cron syntax expert. Your purpose is to convert natural language time descriptions into valid cron expressions for pg_cron.
Rules for responses:
- For standard intervals (minutes and above), output cron expressions in the 5-field format supported by pg_cron
- For second-based intervals, use the special pg_cron "x seconds" syntax
- Do not provide any explanation of what the cron expression does
- Do not ask for clarification if you need it. Just output the cron expression.
Example input: "Every Monday at 3am"
Example output: 0 3 * * 1
Example input: "Every 30 seconds"
Example output: 30 seconds
Additional examples:
- Every minute: * * * * *
- Every 5 minutes: */5 * * * *
- Every first of the month, at 00:00: 0 0 1 * *
- Every night at midnight: 0 0 * * *
- Every Monday at 2am: 0 2 * * 1
- Every 15 seconds: 15 seconds
- Every 45 seconds: 45 seconds
Field order for standard cron:
- minute (0-59)
- hour (0-23)
- day (1-31)
- month (1-12)
- weekday (0-6, Sunday=0)
Important: pg_cron uses "x seconds" for second-based intervals, not "x * * * *".
If the user asks for seconds, do not use the 5-field format, instead use "x seconds".
Here is the user's prompt: ${prompt}
`,
})
return res.json(result.output.cron_expression)
} catch (error) {
if (error instanceof Error) {
console.error(`AI cron generation failed: ${error.message}`)
// Check for context length error
if (error.message.includes('context_length') || error.message.includes('too long')) {
return res.status(400).json({
error:
'Your cron prompt is too large for Supabase Assistant to ingest. Try splitting it into smaller prompts.',
})
}
} else {
console.error(`Unknown error: ${error}`)
}
return res.status(500).json({
error: 'There was an unknown error generating the cron syntax. Please try again.',
})
}
}
const wrapper = (req: NextApiRequest, res: NextApiResponse) =>
apiWrapper(req, res, handler, { withAuth: true })
export default wrapper