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* Initial work on vector buckets. * Add more queries and UI. * chore(studio): vector buckets contents (#39705) * language * match analytics buckets * shared empty state * proper loading state * create dialog cleanup * simplify copywriting * proper details * filtering * use real data * chore(studio): vector buckets polish A (#39759) * empty state * better checks * bucket name in sheet * fix typo * sheet improvements * rename vector index to vector table * cleanup * More work on the vector indexes. * Add delete for bucket and indexes. Create index should now work. * chore(studio): vector buckets polish B (#39794) * loading * delete modal * fix modal behaviour * Add modal for deleting vector buckets. * Bring back the shimmering loader. * chore(studio): vector buckets polish C (#39887) * fix bucketname on deletion dialog * empty states * remove extraneous padding * proper loading and not-found cases * Minor fixes. * Minor updates to the vector components. * Add more instructions to the cursor rules. * Some refactors and shifting files around * Refactor analytics buckets detial to improve time to fcp * Fix * Refactors + simplify * Last few nits, just leaving comments * If the bucket is not empty, delete all indexes first. --------- Co-authored-by: Danny White <3104761+dnywh@users.noreply.github.com> Co-authored-by: Joshen Lim <joshenlimek@gmail.com>
50 lines
1.9 KiB
TypeScript
50 lines
1.9 KiB
TypeScript
import { useQuery, UseQueryOptions } from '@tanstack/react-query'
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import { components } from 'api-types'
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import { get, handleError } from 'data/fetchers'
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import { useSelectedProjectQuery } from 'hooks/misc/useSelectedProject'
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import { PROJECT_STATUS } from 'lib/constants'
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import type { ResponseError } from 'types'
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import { storageKeys } from './keys'
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// [Joshen] JFYI typed incorrectly in API, to fix by adding creationTime to APi
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export type VectorBucket = components['schemas']['StorageVectorBucketResponse'] & {
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creationTime: string
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}
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export type VectorBucketVariables = { projectRef?: string; vectorBucketName?: string }
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export async function getVectorBucket(
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{ projectRef, vectorBucketName }: VectorBucketVariables,
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signal?: AbortSignal
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) {
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if (!projectRef) throw new Error('projectRef is required')
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if (!vectorBucketName) throw new Error('vectorBucketName is required')
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const { data, error } = await get('/platform/storage/{ref}/vector-buckets/{id}', {
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params: { path: { ref: projectRef, id: vectorBucketName } },
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signal,
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})
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if (error) handleError(error)
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return data as VectorBucket
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}
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export type VectorBucketData = Awaited<ReturnType<typeof getVectorBucket>>
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export type VectorBucketError = ResponseError
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export const useVectorBucketQuery = <TData = VectorBucketData>(
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{ projectRef, vectorBucketName }: VectorBucketVariables,
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{ enabled = true, ...options }: UseQueryOptions<VectorBucketData, VectorBucketError, TData> = {}
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) => {
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const { data: project } = useSelectedProjectQuery()
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const isActive = project?.status === PROJECT_STATUS.ACTIVE_HEALTHY
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return useQuery<VectorBucketData, VectorBucketError, TData>({
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queryKey: storageKeys.vectorBucket(projectRef, vectorBucketName),
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queryFn: ({ signal }) => getVectorBucket({ projectRef, vectorBucketName }, signal),
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enabled: enabled && typeof projectRef !== 'undefined' && isActive,
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...options,
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})
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}
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