Files
wifi-densepose/vendor/ruvector/npm/packages/rvf/src/database.ts

292 lines
8.6 KiB
TypeScript

import type {
RvfOptions,
RvfQueryOptions,
RvfSearchResult,
RvfIngestResult,
RvfIngestEntry,
RvfDeleteResult,
RvfCompactionResult,
RvfStatus,
RvfFilterExpr,
RvfKernelData,
RvfEbpfData,
RvfSegmentInfo,
BackendType,
} from './types';
import type { RvfBackend } from './backend';
import { resolveBackend } from './backend';
import { RvfError, RvfErrorCode } from './errors';
/**
* Main user-facing RVF database class.
*
* Wraps a backend implementation (`NodeBackend` or `WasmBackend`) and exposes
* an ergonomic async API that mirrors the Rust `RvfStore` surface.
*
* Use the static factory methods (`create`, `open`, `openReadonly`) to obtain
* an instance. Do not construct directly.
*/
export class RvfDatabase {
private backend: RvfBackend;
private closed = false;
private constructor(backend: RvfBackend) {
this.backend = backend;
}
// -----------------------------------------------------------------------
// Factory methods
// -----------------------------------------------------------------------
/**
* Create a new RVF store at `path`.
*
* @param path File path for the new store.
* @param options Store creation options (dimensions is required).
* @param backend Backend to use. Default: `'auto'`.
*/
static async create(
path: string,
options: RvfOptions,
backend: BackendType = 'auto',
): Promise<RvfDatabase> {
const impl = resolveBackend(backend);
await impl.create(path, options);
return new RvfDatabase(impl);
}
/**
* Open an existing RVF store for read-write access.
*
* @param path File path to an existing `.rvf` file.
* @param backend Backend to use. Default: `'auto'`.
*/
static async open(
path: string,
backend: BackendType = 'auto',
): Promise<RvfDatabase> {
const impl = resolveBackend(backend);
await impl.open(path);
return new RvfDatabase(impl);
}
/**
* Open an existing RVF store for read-only access (no lock required).
*
* @param path File path to an existing `.rvf` file.
* @param backend Backend to use. Default: `'auto'`.
*/
static async openReadonly(
path: string,
backend: BackendType = 'auto',
): Promise<RvfDatabase> {
const impl = resolveBackend(backend);
await impl.openReadonly(path);
return new RvfDatabase(impl);
}
/**
* Create an RvfDatabase from an already-initialized backend.
*
* Used internally (e.g. by `derive()`) to wrap a child backend that was
* created by the native layer without going through the normal open/create
* flow.
*/
static fromBackend(backend: RvfBackend): RvfDatabase {
return new RvfDatabase(backend);
}
// -----------------------------------------------------------------------
// Write operations
// -----------------------------------------------------------------------
/**
* Ingest a batch of vectors into the store.
*
* @param entries Array of `{ id, vector, metadata? }` entries.
* @returns Counts of accepted/rejected vectors and the new epoch.
*/
async ingestBatch(entries: RvfIngestEntry[]): Promise<RvfIngestResult> {
this.ensureOpen();
return this.backend.ingestBatch(entries);
}
/**
* Soft-delete vectors by their IDs.
*
* @param ids Vector IDs to delete.
*/
async delete(ids: string[]): Promise<RvfDeleteResult> {
this.ensureOpen();
return this.backend.delete(ids);
}
/**
* Soft-delete all vectors matching a filter expression.
*
* @param filter The filter to match against vector metadata.
*/
async deleteByFilter(filter: RvfFilterExpr): Promise<RvfDeleteResult> {
this.ensureOpen();
return this.backend.deleteByFilter(filter);
}
// -----------------------------------------------------------------------
// Read operations
// -----------------------------------------------------------------------
/**
* Query for the `k` nearest neighbors of a given vector.
*
* @param vector The query embedding.
* @param k Number of results to return.
* @param options Optional query parameters (efSearch, filter, timeout).
* @returns Sorted search results (closest first).
*/
async query(
vector: Float32Array | number[],
k: number,
options?: RvfQueryOptions,
): Promise<RvfSearchResult[]> {
this.ensureOpen();
const f32 = vector instanceof Float32Array ? vector : new Float32Array(vector);
return this.backend.query(f32, k, options);
}
// -----------------------------------------------------------------------
// Maintenance
// -----------------------------------------------------------------------
/**
* Run compaction to reclaim dead space from soft-deleted vectors.
*/
async compact(): Promise<RvfCompactionResult> {
this.ensureOpen();
return this.backend.compact();
}
/**
* Get the current store status (vector count, file size, epoch, etc.).
*/
async status(): Promise<RvfStatus> {
this.ensureOpen();
return this.backend.status();
}
// -----------------------------------------------------------------------
// Lineage
// -----------------------------------------------------------------------
/** Get this file's unique identifier as a hex string. */
async fileId(): Promise<string> {
this.ensureOpen();
return this.backend.fileId();
}
/** Get the parent file's identifier as a hex string (all zeros if root). */
async parentId(): Promise<string> {
this.ensureOpen();
return this.backend.parentId();
}
/** Get the lineage depth (0 for root files). */
async lineageDepth(): Promise<number> {
this.ensureOpen();
return this.backend.lineageDepth();
}
/**
* Derive a child store from this parent.
*
* Creates a new RVF file at `childPath` that records this store as its
* parent for provenance tracking. Returns a new `RvfDatabase` wrapping
* the child store.
*/
async derive(childPath: string, options?: RvfOptions): Promise<RvfDatabase> {
this.ensureOpen();
const childBackend = await this.backend.derive(childPath, options);
return RvfDatabase.fromBackend(childBackend);
}
// -----------------------------------------------------------------------
// Kernel / eBPF
// -----------------------------------------------------------------------
/** Embed a kernel image. Returns the segment ID. */
async embedKernel(
arch: number, kernelType: number, flags: number,
image: Uint8Array, apiPort: number, cmdline?: string,
): Promise<number> {
this.ensureOpen();
return this.backend.embedKernel(arch, kernelType, flags, image, apiPort, cmdline);
}
/** Extract the kernel image. Returns null if not present. */
async extractKernel(): Promise<RvfKernelData | null> {
this.ensureOpen();
return this.backend.extractKernel();
}
/** Embed an eBPF program. Returns the segment ID. */
async embedEbpf(
programType: number, attachType: number, maxDimension: number,
bytecode: Uint8Array, btf?: Uint8Array,
): Promise<number> {
this.ensureOpen();
return this.backend.embedEbpf(programType, attachType, maxDimension, bytecode, btf);
}
/** Extract the eBPF program. Returns null if not present. */
async extractEbpf(): Promise<RvfEbpfData | null> {
this.ensureOpen();
return this.backend.extractEbpf();
}
// -----------------------------------------------------------------------
// Inspection
// -----------------------------------------------------------------------
/** Get the list of segments in the store. */
async segments(): Promise<RvfSegmentInfo[]> {
this.ensureOpen();
return this.backend.segments();
}
/** Get the vector dimensionality. */
async dimension(): Promise<number> {
this.ensureOpen();
return this.backend.dimension();
}
// -----------------------------------------------------------------------
// Lifecycle
// -----------------------------------------------------------------------
/**
* Close the store, releasing the writer lock and flushing pending data.
*
* After calling `close()`, all other methods will throw `RvfError` with
* code `StoreClosed`.
*/
async close(): Promise<void> {
if (this.closed) return;
this.closed = true;
await this.backend.close();
}
/** True if the store has been closed. */
get isClosed(): boolean {
return this.closed;
}
// -----------------------------------------------------------------------
// Internal
// -----------------------------------------------------------------------
private ensureOpen(): void {
if (this.closed) {
throw new RvfError(RvfErrorCode.StoreClosed);
}
}
}