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* vector: expose request metrics and registration-aware health endpoints * vector: report immutable read cache and storage fetch metrics * docs: describe vector engine health, metrics, and maintenance * vector: count canceled requests when their handler is dropped * vector: account for uncached large immutable storage reads * vector: reliably release the stalled credential reader in tests * vector: observe large reads as their streamed body is consumed * vector: bound heartbeats on established master registration streams * test: exercise hardened vector maintenance on Go and Rust volumes * vector: register engines in their configured filer group * vector: make retried index creation preserve compatible datasets * vector: allow registration to advertise a separate address * test: release stalled credential readers without blocking FIFO cleanup * test: allow hardened vector coverage in a named filer group * vector: discover engines in the same filer group as their gateway * vector: fall back when the advertised address is empty * admin: expose vector readiness, maintenance, and management tools (#12520) * s3vectors: share vector discovery with trusted management clients * admin: show vector engine readiness and recent maintenance activity * admin: suggest S3 Vectors IAM actions from the supported operations * admin: manage vector indexes, policies, tags, encryption, and query data * admin: validate SSE-S3 support before creating encrypted vector buckets * admin: discover vector engines in their registration group * admin: probe vector engines concurrently with independent time budgets * admin: verify encryption capability on the remote S3 gateway * admin: defer discovery until after the HTTP server can start * admin: distinguish unknown vector health services from failed engines * admin: count workers that can execute vector index maintenance * admin: allow read-only users to query vectors and inspect tags * vector: scope gateway and admin discovery to the configured filer group * admin: refresh policy state after mutations and serialize policy controls * vector: drain active RPCs before closing replaced discovery connections * vector: respect request cancellation while waiting for discovery * vector: prefer another registered engine after a transport failure * admin: check all masters before reporting no registered vector engines * iam: honor attached vector policies without broadening legacy grants * vector: allow short-lived discovery clients to close their connections * vector: refresh cached master addresses for each discovery lookup * iam: enforce vector bucket tag conditions in attached policies * iam: authorize vector bucket creation with the requested tags * test: exercise vector IAM grants and tag denies on Go and Rust volumes * admin: reject authenticated vector mutations without an admin role * test: run vector IAM assertions before the shared engine is stopped * vector: add native mini startup, shell tools, and a runnable Compose example (#12522) * s3vectors: share vector discovery with trusted management clients * admin: show vector engine readiness and recent maintenance activity * admin: suggest S3 Vectors IAM actions from the supported operations * admin: manage vector indexes, policies, tags, encryption, and query data * admin: validate SSE-S3 support before creating encrypted vector buckets * admin: discover vector engines in their registration group * admin: probe vector engines concurrently with independent time budgets * admin: verify encryption capability on the remote S3 gateway * admin: defer discovery until after the HTTP server can start * admin: distinguish unknown vector health services from failed engines * admin: count workers that can execute vector index maintenance * admin: allow read-only users to query vectors and inspect tags * vector: scope gateway and admin discovery to the configured filer group * admin: refresh policy state after mutations and serialize policy controls * vector: drain active RPCs before closing replaced discovery connections * vector: respect request cancellation while waiting for discovery * vector: prefer another registered engine after a transport failure * admin: check all masters before reporting no registered vector engines * iam: honor attached vector policies without broadening legacy grants * vector: allow short-lived discovery clients to close their connections * vector: refresh cached master addresses for each discovery lookup * iam: enforce vector bucket tag conditions in attached policies * iam: authorize vector bucket creation with the requested tags * test: exercise vector IAM grants and tag denies on Go and Rust volumes * admin: reject authenticated vector mutations without an admin role * test: run vector IAM assertions before the shared engine is stopped * mini: optionally start and supervise the vector engine * mini: bootstrap vector buckets with existing Lance catalog helpers * shell: manage vector buckets, indexes, and vector data * docs: provide a runnable vector and maintenance worker Compose stack * shell: scope vector discovery to the session and close its connections * mini: honor the bind address for vector and metrics listeners * mini: reserve vector ports before assigning gRPC and compatibility listeners * mini: wait for vector storage setup and master registration * mini: create requested vector buckets without requiring the Lance HTTP listener * shell: refresh master addresses during vector discovery * mini: resolve sibling vector executables with platform extensions * vector: preserve uncertain creates and fix mini listener allocation (#12525) * vector: retain catalog records when index creation has an unknown outcome * mini: keep chosen listener ports reserved throughout allocation * mini: resolve hostname binds before starting vector listeners * vector: fix integration test imports and recover interrupted index creation (#12533) * shell: register vector operations from the command package * s3vectors: resume interrupted index initialization safely * mini: exclude disabled WebDAV from listener allocation * s3vectors: retain uncertain creates across refused retries * s3vectors: claim pending indexes before retrying initialization * s3vectors: compare resolved distance metrics during recovery * s3vectors: preserve metadata keys when retrying initialization * s3vectors: verify ownership before initializing new catalog records
192 lines
7.5 KiB
Templ
192 lines
7.5 KiB
Templ
package app
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import (
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"fmt"
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"net/url"
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"github.com/seaweedfs/seaweedfs/weed/admin/dash"
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)
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templ S3VectorsBuckets(data dash.S3VectorsBucketsData) {
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<div class="d-flex justify-content-between flex-wrap flex-md-nowrap align-items-center pt-3 pb-2 mb-3 border-bottom">
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<h1 class="h2">
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<i class="bi bi-bounding-box-circles me-2"></i>Vector Buckets
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</h1>
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<div class="btn-toolbar mb-2 mb-md-0">
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<div class="btn-group me-2">
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<button type="button" class="btn btn-sm btn-primary" data-bs-toggle="modal" data-bs-target="#createS3VectorsBucketModal">
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<i class="bi bi-plus me-1"></i>Create Bucket
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</button>
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</div>
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</div>
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</div>
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<div class="alert alert-info mb-4">
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<i class="bi bi-info-circle me-2"></i>
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Vector buckets serve the Amazon S3 Vectors API on the S3 port. Each one is a LANCE table bucket that keeps its indexes in its <code>vector</code> namespace.
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Create indexes and manage vectors from a bucket page or an S3 Vectors client.
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</div>
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@VectorStatus(data.Operations)
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<div class="card shadow mb-4">
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<div class="card-header py-3">
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<h6 class="m-0 font-weight-bold text-primary">
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<i class="bi bi-bounding-box-circles me-2"></i>{ fmt.Sprintf("%d vector buckets", data.TotalBuckets) }
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if data.Truncated {
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<span class="text-muted small ms-2">{ fmt.Sprintf("showing the first %d; list the rest with an S3 Vectors client", data.TotalBuckets) }</span>
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}
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</h6>
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</div>
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<div class="card-body">
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<div class="table-responsive">
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<table class="table table-hover" width="100%" cellspacing="0" id="s3vectorsBucketsTable">
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<thead>
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<tr>
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<th>Name</th>
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<th>ARN</th>
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<th>Encryption</th>
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<th>Created</th>
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<th>Actions</th>
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</tr>
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</thead>
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<tbody>
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for _, bucket := range data.Buckets {
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<tr>
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<td>
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<a href={ dash.PUrl(ctx, "/object-store/vector-buckets/"+url.PathEscape(bucket.Name)) }>{ bucket.Name }</a>
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</td>
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<td class="text-muted small">{ bucket.ARN }</td>
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<td>
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if bucket.Encryption != "" {
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<span class="badge bg-success">{ bucket.Encryption }</span>
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} else {
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<span class="text-muted">None</span>
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}
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</td>
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<td>{ bucket.CreatedAt.Format("2006-01-02 15:04") }</td>
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<td>
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<div class="btn-group btn-group-sm" role="group">
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<a class="btn btn-outline-primary btn-sm" href={ dash.PUrl(ctx, "/object-store/vector-buckets/"+url.PathEscape(bucket.Name)) } title="Indexes">
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<i class="bi bi-folder2-open"></i>
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</a>
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<button type="button" class="btn btn-outline-danger btn-sm s3vectors-delete-bucket-btn" data-bucket-name={ bucket.Name } title="Delete">
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<i class="bi bi-trash"></i>
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</button>
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</div>
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</td>
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</tr>
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}
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if len(data.Buckets) == 0 {
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<tr>
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<td colspan="5" class="text-center text-muted py-4">
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<i class="bi bi-bounding-box-circles icon-3x mb-3 text-muted"></i>
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<div>
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<h5>No vector buckets found</h5>
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</div>
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</td>
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</tr>
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}
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</tbody>
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</table>
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</div>
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</div>
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</div>
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<div class="modal fade" id="createS3VectorsBucketModal" tabindex="-1" aria-labelledby="createS3VectorsBucketModalLabel" aria-hidden="true">
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<div class="modal-dialog">
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<div class="modal-content">
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<div class="modal-header">
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<h5 class="modal-title" id="createS3VectorsBucketModalLabel">
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<i class="bi bi-plus me-2"></i>Create Vector Bucket
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</h5>
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<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
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</div>
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<form id="createS3VectorsBucketForm">
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<div class="modal-body">
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<div class="mb-3">
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<label for="s3vectorsBucketName" class="form-label">Bucket Name</label>
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<input type="text" class="form-control" id="s3vectorsBucketName" name="name" placeholder="vector-bucket-name" required/>
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<div class="form-text">3 to 63 lowercase letters, digits and hyphens, starting and ending with a letter or digit.</div>
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</div>
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<label for="s3vectorsEncryption" class="form-label">Encryption</label>
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<select id="s3vectorsEncryption" class="form-select"><option value="">None</option><option value="AES256">SSE-S3 (AES256)</option></select>
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<div class="form-text">SSE-S3 requires the encryption key on the S3 gateway and vector engines.</div>
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</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Cancel</button>
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<button type="submit" class="btn btn-primary">
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<i class="bi bi-plus me-1"></i>Create
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</button>
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</div>
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</form>
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</div>
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</div>
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</div>
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<div class="modal fade" id="deleteS3VectorsBucketModal" tabindex="-1" aria-labelledby="deleteS3VectorsBucketModalLabel" aria-hidden="true">
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<div class="modal-dialog">
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<div class="modal-content">
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<div class="modal-header">
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<h5 class="modal-title" id="deleteS3VectorsBucketModalLabel">
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<i class="bi bi-exclamation-triangle me-2 text-warning"></i>Delete Vector Bucket
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</h5>
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<button type="button" class="btn-close" data-bs-dismiss="modal" aria-label="Close"></button>
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</div>
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<div class="modal-body">
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<p>Delete the vector bucket <strong id="deleteS3VectorsBucketName"></strong>? A bucket that still has indexes is not deleted.</p>
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</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-secondary" data-bs-dismiss="modal">Cancel</button>
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<button type="button" class="btn btn-danger" id="deleteS3VectorsBucketBtn">
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<i class="bi bi-trash me-1"></i>Delete
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</button>
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</div>
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</div>
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</div>
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</div>
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<script>
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document.addEventListener('DOMContentLoaded', function () {
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const deleteModalEl = document.getElementById('deleteS3VectorsBucketModal');
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const deleteModal = new bootstrap.Modal(deleteModalEl);
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document.querySelectorAll('.s3vectors-delete-bucket-btn').forEach(button => {
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button.addEventListener('click', function () {
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deleteModalEl.dataset.bucketName = this.dataset.bucketName || '';
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document.getElementById('deleteS3VectorsBucketName').textContent = this.dataset.bucketName || '';
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deleteModal.show();
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});
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});
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document.getElementById('deleteS3VectorsBucketBtn').addEventListener('click', async function () {
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const bucket = deleteModalEl.dataset.bucketName;
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if (!bucket) return;
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try {
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const response = await fetch(s3tBasePath('/api/s3vectors/buckets?bucket=' + encodeURIComponent(bucket)), { method: 'DELETE', headers: s3tWriteHeaders() });
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const data = await response.json();
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if (!response.ok) {
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alert(data.error || 'Failed to delete vector bucket');
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return;
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}
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location.reload();
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} catch (error) {
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alert('Failed to delete vector bucket: ' + error.message);
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}
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});
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document.getElementById('createS3VectorsBucketForm').addEventListener('submit', async function (e) {
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e.preventDefault();
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const name = document.getElementById('s3vectorsBucketName').value.trim();
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try {
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const response = await fetch(s3tBasePath('/api/s3vectors/buckets'), {
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method: 'POST',
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headers: s3tWriteHeaders({ 'Content-Type': 'application/json' }),
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body: JSON.stringify({ name, encryptionConfiguration: document.getElementById('s3vectorsEncryption').value ? {sseType:'AES256'} : undefined })
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});
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const data = await response.json();
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if (!response.ok) {
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alert(data.error || 'Failed to create vector bucket');
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return;
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}
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location.reload();
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} catch (error) {
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alert('Failed to create vector bucket: ' + error.message);
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}
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});
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});
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</script>
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}
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