import { useMutation, UseMutationOptions, useQueryClient } from '@tanstack/react-query' import { toast } from 'sonner' import type { components } from 'api-types' import { handleError, post } from 'data/fetchers' import type { ResponseError } from 'types' import { storageKeys } from './keys' type VectorBucketIndexCreateVariables = components['schemas']['CreateBucketIndexBody'] & { projectRef: string bucketName: string } async function createVectorBucketIndex({ projectRef, bucketName, ...rest }: VectorBucketIndexCreateVariables) { if (!projectRef) throw new Error('projectRef is required') if (!bucketName) throw new Error('Bucket name is required') const { data, error } = await post('/platform/storage/{ref}/vector-buckets/{id}/indexes', { params: { path: { ref: projectRef, id: bucketName } }, body: { dataType: 'float32', dimension: rest.dimension, distanceMetric: rest.distanceMetric, indexName: rest.indexName, metadataKeys: rest.metadataKeys, }, }) if (error) handleError(error) // [Joshen] JFYI typed incorrectly in API, to fix return data as { name: string } } type VectorBucketIndexCreateData = Awaited> export const useVectorBucketIndexCreateMutation = ({ onSuccess, onError, ...options }: Omit< UseMutationOptions, 'mutationFn' > = {}) => { const queryClient = useQueryClient() return useMutation({ mutationFn: (vars) => createVectorBucketIndex(vars), async onSuccess(data, variables, context) { const { projectRef, bucketName } = variables await queryClient.invalidateQueries({ queryKey: storageKeys.vectorBucketsIndexes(projectRef, bucketName), }) await onSuccess?.(data, variables, context) }, async onError(data, variables, context) { if (onError === undefined) { toast.error(`Failed to create vector bucket index: ${data.message}`) } else { onError(data, variables, context) } }, ...options, }) }