mirror of
https://github.com/supabase/supabase.git
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* start * added panels * remove stuff * fixes and refinements * clean up * remove old assistant panel * resizable assistant kinda * use icon * Add missing package * remove canvas * add suggestions * updated empty state if no tables exist * fix table condition * Implement diffing if using assistant in sql editor * Reinstate old assistant in SQL editor if feature preview is off * pane size adjustment * assistant button corners * Add SQL snippet content to assistant if opening assistant in sql editor * Add the necessary checks for opt in and hipaa * revert adding snippet to assistant when opening assistant in sql editor * Add cmd i shortcut * Add admonitions for when disablePrompt is toggled on, and if no api key is set. Add footer note RE rate limitation * Bump ai package in packages * some fixes for backwards compability depending on feature preview toggled * Rename feature preview property for new assistant * Smol fix * Prevent SQL snippet from running until message is finished * only loading last message * fix z-index * save chat state to global state * add debug to failed ai queries * Add basic contextual invalidation * Add explain code action to SQL editor * Add link to abort ongoing queries from SqlSnippet * Update feature preview content * Fix * Fix * Fix * Te4st * Fix tests * ONly show ai button within a project * Fix PH tracking * Beef up a bit more event tracking * Rough fix to padding when assistant is open * A bit more telemetry stuff * Update prompts * fix rls editing via assistant * Update generate-v3.ts prompt to get auth schema too * Add policy satement to assistant when editing * Address all comments * fixc * Fix SqlSnippet not taking full width on larger viewports * Adjust max width --------- Co-authored-by: Saxon Fletcher <saxonafletcher@gmail.com>
145 lines
4.1 KiB
TypeScript
145 lines
4.1 KiB
TypeScript
import { QueryClient, QueryKey, useQuery, UseQueryOptions } from '@tanstack/react-query'
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import { handleError as handleErrorFetchers, post } from 'data/fetchers'
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import {
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ROLE_IMPERSONATION_NO_RESULTS,
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ROLE_IMPERSONATION_SQL_LINE_COUNT,
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} from 'lib/role-impersonation'
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import type { ResponseError } from 'types'
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import { sqlKeys } from './keys'
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import { MB, PROJECT_STATUS } from 'lib/constants'
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import { useSelectedProject } from 'hooks/misc/useSelectedProject'
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export type ExecuteSqlVariables = {
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projectRef?: string
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connectionString?: string
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sql: string
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queryKey?: QueryKey
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handleError?: (error: ResponseError) => { result: any }
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isRoleImpersonationEnabled?: boolean
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autoLimit?: number
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}
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export async function executeSql(
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{
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projectRef,
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connectionString,
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sql,
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queryKey,
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handleError,
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isRoleImpersonationEnabled = false,
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}: Pick<
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ExecuteSqlVariables,
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| 'projectRef'
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| 'connectionString'
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| 'sql'
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| 'queryKey'
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| 'handleError'
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| 'isRoleImpersonationEnabled'
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>,
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signal?: AbortSignal,
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headersInit?: HeadersInit
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): Promise<{ result: any }> {
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if (!projectRef) throw new Error('projectRef is required')
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const sqlSize = new Blob([sql]).size
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// [Joshen] I think the limit is around 1MB from testing, but its not exactly 1MB it seems
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if (sqlSize > 0.98 * MB) {
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throw new Error('Query is too large to be run via the SQL Editor')
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}
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let headers = new Headers(headersInit)
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if (connectionString) headers.set('x-connection-encrypted', connectionString)
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let { data, error } = await post('/platform/pg-meta/{ref}/query', {
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signal,
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params: {
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header: { 'x-connection-encrypted': connectionString ?? '' },
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path: { ref: projectRef },
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// @ts-expect-error: This is just a client side thing to identify queries better
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query: {
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key:
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queryKey?.filter((seg) => typeof seg === 'string' || typeof seg === 'number').join('-') ??
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'',
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},
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},
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body: { query: sql },
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headers: Object.fromEntries(headers),
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})
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if (error) {
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if (
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isRoleImpersonationEnabled &&
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typeof error === 'object' &&
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error !== null &&
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'error' in error &&
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'formattedError' in error
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) {
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let updatedError = error as { error: string; formattedError: string }
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const regex = /LINE (\d+):/im
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const [, lineNumberStr] = regex.exec(updatedError.error) ?? []
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const lineNumber = Number(lineNumberStr)
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if (!isNaN(lineNumber)) {
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updatedError = {
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...updatedError,
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error: updatedError.error.replace(
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regex,
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`LINE ${lineNumber - ROLE_IMPERSONATION_SQL_LINE_COUNT}:`
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),
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formattedError: updatedError.formattedError.replace(
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regex,
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`LINE ${lineNumber - ROLE_IMPERSONATION_SQL_LINE_COUNT}:`
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),
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}
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}
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error = updatedError as any
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}
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if (handleError !== undefined) return handleError(error as any)
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else handleErrorFetchers(error)
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}
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if (
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isRoleImpersonationEnabled &&
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Array.isArray(data) &&
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data?.[0]?.[ROLE_IMPERSONATION_NO_RESULTS] === 1
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) {
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return { result: [] }
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}
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return { result: data }
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}
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export type ExecuteSqlData = Awaited<ReturnType<typeof executeSql>>
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export type ExecuteSqlError = ResponseError
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/**
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* @deprecated Use the regular useQuery with a function that calls executeSql() instead
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*/
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export const useExecuteSqlQuery = <TData = ExecuteSqlData>(
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{
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projectRef,
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connectionString,
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sql,
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queryKey,
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handleError,
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isRoleImpersonationEnabled,
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}: ExecuteSqlVariables,
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{ enabled = true, ...options }: UseQueryOptions<ExecuteSqlData, ExecuteSqlError, TData> = {}
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) => {
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const project = useSelectedProject()
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const isActive = project?.status === PROJECT_STATUS.ACTIVE_HEALTHY
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return useQuery<ExecuteSqlData, ExecuteSqlError, TData>(
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sqlKeys.query(projectRef, queryKey ?? [btoa(sql)]),
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({ signal }) =>
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executeSql(
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{ projectRef, connectionString, sql, queryKey, handleError, isRoleImpersonationEnabled },
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signal
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),
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{ enabled: enabled && typeof projectRef !== 'undefined' && isActive, staleTime: 0, ...options }
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)
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}
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