Files
lancedb/docs/web-tests/ts/multimodal.test.ts
T

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3.4 KiB
TypeScript

// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import { expect, test } from "@jest/globals";
// --8<-- [start:multimodal_imports]
import * as arrow from "apache-arrow";
import { Buffer } from "node:buffer";
import * as lancedb from "@lancedb/lancedb";
// --8<-- [end:multimodal_imports]
import { withTempDirectory } from "./util.ts";
test("multimodal snippets (async)", async () => {
await withTempDirectory(async (databaseDir) => {
const db = await lancedb.connect(databaseDir);
// --8<-- [start:create_dummy_data]
const createDummyImage = (color: string): Uint8Array => {
const pngHeader = Uint8Array.from([137, 80, 78, 71, 13, 10, 26, 10]);
return Buffer.concat([Buffer.from(pngHeader), Buffer.from(color, "utf8")]);
};
const data = [
{
id: 1,
filename: "red_square.png",
vector: Array.from({ length: 128 }, (_, i) => (i % 16) / 16),
image_blob: createDummyImage("red"),
label: "red",
},
{
id: 2,
filename: "blue_square.png",
vector: Array.from({ length: 128 }, (_, i) => ((i + 8) % 16) / 16),
image_blob: createDummyImage("blue"),
label: "blue",
},
];
// --8<-- [end:create_dummy_data]
// --8<-- [start:define_schema]
const schema = new arrow.Schema([
new arrow.Field("id", new arrow.Int32()),
new arrow.Field("filename", new arrow.Utf8()),
new arrow.Field(
"vector",
new arrow.FixedSizeList(
128,
new arrow.Field("item", new arrow.Float32(), true),
),
),
new arrow.Field("image_blob", new arrow.Binary()),
new arrow.Field("label", new arrow.Utf8()),
]);
// --8<-- [end:define_schema]
// --8<-- [start:ingest_data]
const multimodalData = lancedb.makeArrowTable(data, { schema });
const tbl = await db.createTable("images", multimodalData, {
mode: "overwrite",
});
// --8<-- [end:ingest_data]
expect(await tbl.countRows()).toBe(2);
// --8<-- [start:search_data]
const queryVector = Array.from({ length: 128 }, (_, i) => (i % 16) / 16);
const results = await tbl.search(queryVector).limit(1).toArray();
// --8<-- [end:search_data]
// --8<-- [start:process_results]
for (const row of results) {
const imageBytes = row.image_blob as Uint8Array;
console.log(
`Retrieved image: ${row.filename}, Byte length: ${imageBytes.length}`,
);
}
// --8<-- [end:process_results]
expect(results).toHaveLength(1);
// --8<-- [start:legacy_blob_api_schema]
const legacyBlobSchema = new arrow.Schema([
new arrow.Field("id", new arrow.Int64()),
new arrow.Field(
"video",
new arrow.LargeBinary(),
true,
new Map([["lance-encoding:blob", "true"]]),
),
]);
// --8<-- [end:legacy_blob_api_schema]
// --8<-- [start:legacy_blob_api_ingest]
const legacyBlobData = lancedb.makeArrowTable(
[
{ id: 1, video: Buffer.from("fake_video_bytes_1") },
{ id: 2, video: Buffer.from("fake_video_bytes_2") },
],
{ schema: legacyBlobSchema },
);
const legacyBlobTable = await db.createTable(
"legacy_videos",
legacyBlobData,
{
mode: "overwrite",
},
);
// --8<-- [end:legacy_blob_api_ingest]
expect(await legacyBlobTable.countRows()).toBe(2);
});
});