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Blob: src/cloudflare/internal/test/vectorize/vectorize-api-test.js
| 1 | // Copyright (c) 2023 Cloudflare, Inc. |
| 2 | // Licensed under the Apache 2.0 license found in the LICENSE file or at: |
| 3 | // https://opensource.org/licenses/Apache-2.0 |
| 4 | |
| 5 | // @ts-expect-error - no type declarations for node:assert in this context |
| 6 | import * as assert from 'node:assert'; |
| 7 | import { KnownModel, DistanceMetric } from 'cloudflare:vectorize'; |
| 8 | |
| 9 | /** |
| 10 | * @typedef {{'vector-search': Vectorize}} Env |
| 11 | * |
| 12 | */ |
| 13 | |
| 14 | export const test_vector_search_vector_query = { |
| 15 | /** |
| 16 | * @param {unknown} _ |
| 17 | * @param {Env} env |
| 18 | */ |
| 19 | async test(_, env) { |
| 20 | const IDX = env['vector-search']; |
| 21 | { |
| 22 | // with returnValues = true, returnMetadata = "indexed" |
| 23 | const results = await IDX.query(new Float32Array(5), { |
| 24 | topK: 3, |
| 25 | returnValues: true, |
| 26 | returnMetadata: 'indexed', |
| 27 | }); |
| 28 | assert.equal(true, results.count > 0); |
| 29 | /** @type {VectorizeMatches} */ |
| 30 | const expected = { |
| 31 | matches: [ |
| 32 | { |
| 33 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 34 | values: [0.2331, 1.0125, 0.6131, 0.9421, 0.9661, 0.8121], |
| 35 | metadata: { text: 'She sells seashells by the seashore' }, |
| 36 | score: 0.71151, |
| 37 | }, |
| 38 | { |
| 39 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 40 | values: [0.2321, 0.8121, 0.6315, 0.6151, 0.4121, 0.1512], |
| 41 | metadata: { |
| 42 | text: 'Peter Piper picked a peck of pickled peppers', |
| 43 | }, |
| 44 | score: 0.68913, |
| 45 | }, |
| 46 | { |
| 47 | id: '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 48 | values: [0.0515, 0.7512, 0.8612, 0.2153, 0.15121, 0.6812], |
| 49 | metadata: { |
| 50 | text: 'You know New York, you need New York, you know you need unique New York', |
| 51 | }, |
| 52 | score: 0.94812, |
| 53 | }, |
| 54 | ], |
| 55 | count: 3, |
| 56 | }; |
| 57 | assert.deepStrictEqual(results, expected); |
| 58 | } |
| 59 | |
| 60 | { |
| 61 | // with returnValues = true, returnMetadata = "indexed" |
| 62 | const results = await IDX.queryById('some-vector-id', { |
| 63 | topK: 3, |
| 64 | returnValues: true, |
| 65 | returnMetadata: 'indexed', |
| 66 | }); |
| 67 | assert.equal(true, results.count > 0); |
| 68 | /** @type {VectorizeMatches} */ |
| 69 | const expected = { |
| 70 | matches: [ |
| 71 | { |
| 72 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 73 | values: [0.2331, 1.0125, 0.6131, 0.9421, 0.9661, 0.8121], |
| 74 | metadata: { text: 'She sells seashells by the seashore' }, |
| 75 | score: 0.71151, |
| 76 | }, |
| 77 | { |
| 78 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 79 | values: [0.2321, 0.8121, 0.6315, 0.6151, 0.4121, 0.1512], |
| 80 | metadata: { |
| 81 | text: 'Peter Piper picked a peck of pickled peppers', |
| 82 | }, |
| 83 | score: 0.68913, |
| 84 | }, |
| 85 | { |
| 86 | id: '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 87 | values: [0.0515, 0.7512, 0.8612, 0.2153, 0.15121, 0.6812], |
| 88 | metadata: { |
| 89 | text: 'You know New York, you need New York, you know you need unique New York', |
| 90 | }, |
| 91 | score: 0.94812, |
| 92 | }, |
| 93 | ], |
| 94 | count: 3, |
| 95 | }; |
| 96 | assert.deepStrictEqual(results, expected); |
| 97 | } |
| 98 | |
| 99 | { |
| 100 | // with returnValues = unset (false), returnMetadata = false ("none") |
| 101 | const results = await IDX.query(new Float32Array(5), { |
| 102 | topK: 3, |
| 103 | returnMetadata: false, |
| 104 | }); |
| 105 | assert.equal(true, results.count > 0); |
| 106 | /** @type {VectorizeMatches} */ |
| 107 | const expected = { |
| 108 | matches: [ |
| 109 | { |
| 110 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 111 | score: 0.71151, |
| 112 | }, |
| 113 | { |
| 114 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 115 | score: 0.68913, |
| 116 | }, |
| 117 | { |
| 118 | id: '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 119 | score: 0.94812, |
| 120 | }, |
| 121 | ], |
| 122 | count: 3, |
| 123 | }; |
| 124 | assert.deepStrictEqual(results, expected); |
| 125 | } |
| 126 | |
| 127 | { |
| 128 | // with returnValues = unset (false), returnMetadata = true ("all") |
| 129 | const results = await IDX.query(new Float32Array(5), { |
| 130 | topK: 3, |
| 131 | returnMetadata: true, |
| 132 | }); |
| 133 | assert.equal(true, results.count > 0); |
| 134 | /** @type {VectorizeMatches} */ |
| 135 | const expected = { |
| 136 | matches: [ |
| 137 | { |
| 138 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 139 | metadata: { text: 'She sells seashells by the seashore' }, |
| 140 | score: 0.71151, |
| 141 | }, |
| 142 | { |
| 143 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 144 | metadata: { |
| 145 | text: 'Peter Piper picked a peck of pickled peppers', |
| 146 | }, |
| 147 | score: 0.68913, |
| 148 | }, |
| 149 | { |
| 150 | id: '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 151 | metadata: { |
| 152 | text: 'You know New York, you need New York, you know you need unique New York', |
| 153 | }, |
| 154 | score: 0.94812, |
| 155 | }, |
| 156 | ], |
| 157 | count: 3, |
| 158 | }; |
| 159 | assert.deepStrictEqual(results, expected); |
| 160 | } |
| 161 | |
| 162 | { |
| 163 | // with returnValues = unset (false), returnMetadata = unset (none) |
| 164 | const results = await IDX.query(new Float32Array(5), { |
| 165 | topK: 3, |
| 166 | }); |
| 167 | assert.equal(true, results.count > 0); |
| 168 | /** @type {VectorizeMatches} */ |
| 169 | const expected = { |
| 170 | matches: [ |
| 171 | { |
| 172 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 173 | score: 0.71151, |
| 174 | }, |
| 175 | { |
| 176 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 177 | score: 0.68913, |
| 178 | }, |
| 179 | { |
| 180 | id: '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 181 | score: 0.94812, |
| 182 | }, |
| 183 | ], |
| 184 | count: 3, |
| 185 | }; |
| 186 | assert.deepStrictEqual(results, expected); |
| 187 | } |
| 188 | |
| 189 | { |
| 190 | // with returnValues = unset (false), returnMetadata = unset (none), filter = "Peter Piper picked a peck of pickled peppers" |
| 191 | const results = await IDX.query(new Float32Array(5), { |
| 192 | topK: 1, |
| 193 | filter: { |
| 194 | text: { $eq: 'Peter Piper picked a peck of pickled peppers' }, |
| 195 | }, |
| 196 | }); |
| 197 | assert.equal(true, results.count > 0); |
| 198 | /** @type {VectorizeMatches} */ |
| 199 | const expected = { |
| 200 | matches: [ |
| 201 | { |
| 202 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 203 | score: 0.68913, |
| 204 | }, |
| 205 | ], |
| 206 | count: 1, |
| 207 | }; |
| 208 | assert.deepStrictEqual(results, expected); |
| 209 | } |
| 210 | |
| 211 | { |
| 212 | // with returnValues = unset (false), returnMetadata = unset (none), filter = "Peter Piper picked a peck of pickled peppers" |
| 213 | const results = await IDX.query(new Float32Array(5), { |
| 214 | topK: 1, |
| 215 | filter: { |
| 216 | text: { |
| 217 | $in: [ |
| 218 | 'Peter Piper picked a peck of pickled peppers', |
| 219 | 'She sells seashells by the seashore', |
| 220 | ], |
| 221 | }, |
| 222 | }, |
| 223 | }); |
| 224 | assert.equal(true, results.count > 0); |
| 225 | /** @type {VectorizeMatches} */ |
| 226 | const expected = { |
| 227 | matches: [ |
| 228 | { |
| 229 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 230 | score: 0.71151, |
| 231 | }, |
| 232 | { |
| 233 | id: 'a44706aa-a366-48bc-8cc1-3feffd87d548', |
| 234 | score: 0.68913, |
| 235 | }, |
| 236 | ], |
| 237 | count: 2, |
| 238 | }; |
| 239 | assert.deepStrictEqual(results, expected); |
| 240 | } |
| 241 | |
| 242 | { |
| 243 | const results = await IDX.query(new Float32Array(5), { |
| 244 | topK: 1, |
| 245 | filter: { |
| 246 | text: { |
| 247 | $gt: 'Peter Piper picked a peck of pickled peppers', |
| 248 | $lt: 'You know New York, you need New York, you know you need unique New York', |
| 249 | }, |
| 250 | }, |
| 251 | }); |
| 252 | assert.equal(true, results.count > 0); |
| 253 | /** @type {VectorizeMatches} */ |
| 254 | const expected = { |
| 255 | matches: [ |
| 256 | { |
| 257 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 258 | score: 0.71151, |
| 259 | }, |
| 260 | ], |
| 261 | count: 1, |
| 262 | }; |
| 263 | assert.deepStrictEqual(results, expected); |
| 264 | } |
| 265 | }, |
| 266 | }; |
| 267 | |
| 268 | export const test_vector_search_vector_insert = { |
| 269 | /** |
| 270 | * @param {unknown} _ |
| 271 | * @param {Env} env |
| 272 | */ |
| 273 | async test(_, env) { |
| 274 | const IDX = env['vector-search']; |
| 275 | { |
| 276 | /** @type {Array<VectorizeVector>} */ |
| 277 | const newVectors = [ |
| 278 | { |
| 279 | id: '15cc795d-93d3-416d-9a2a-36fa6fac73da', |
| 280 | values: new Float32Array(), |
| 281 | metadata: { text: 'He threw three free throws' }, |
| 282 | }, |
| 283 | { |
| 284 | id: '15cc795d-93d3-416d-9a2a-36fa6fac73da', |
| 285 | values: new Float32Array(), |
| 286 | metadata: { text: 'Which witch is which?' }, |
| 287 | }, |
| 288 | ]; |
| 289 | const results = await IDX.insert(newVectors); |
| 290 | assert.equal(results.mutationId, `total vectors: 5`); |
| 291 | } |
| 292 | }, |
| 293 | }; |
| 294 | |
| 295 | export const test_vector_search_vector_insert_error = { |
| 296 | /** |
| 297 | * @param {unknown} _ |
| 298 | * @param {Env} env |
| 299 | */ |
| 300 | async test(_, env) { |
| 301 | const IDX = env['vector-search']; |
| 302 | { |
| 303 | /** @type {Array<VectorizeVector>} */ |
| 304 | const newVectors = [ |
| 305 | { |
| 306 | id: 'fail-with-test-error', |
| 307 | values: new Float32Array(), |
| 308 | }, |
| 309 | ]; |
| 310 | |
| 311 | /** @type {Error | null} */ |
| 312 | let error = null; |
| 313 | try { |
| 314 | await IDX.insert(newVectors); |
| 315 | } catch (e) { |
| 316 | error = /** @type {Error} */ (e); |
| 317 | } |
| 318 | |
| 319 | assert.equal( |
| 320 | error && error.message, |
| 321 | 'VECTOR_INSERT_ERROR (code = 9999): You asked me for this error' |
| 322 | ); |
| 323 | } |
| 324 | }, |
| 325 | }; |
| 326 | |
| 327 | export const test_vector_search_vector_upsert = { |
| 328 | /** |
| 329 | * @param {unknown} _ |
| 330 | * @param {Env} env |
| 331 | */ |
| 332 | async test(_, env) { |
| 333 | const IDX = env['vector-search']; |
| 334 | { |
| 335 | /** @type {Array<VectorizeVector>} */ |
| 336 | const newVectors = [ |
| 337 | { |
| 338 | id: '15cc795d-93d3-416d-9a2a-36fa6fac73da', |
| 339 | values: new Float32Array(), |
| 340 | metadata: { text: 'He threw three free throws' }, |
| 341 | }, |
| 342 | { |
| 343 | id: '15cc795d-93d3-416d-9a2a-36fa6fac73da', |
| 344 | values: [0.3611, 0.9481, 0.8121, 0.7121, 0.8121, 0.0512], |
| 345 | metadata: { text: 'Which witch is which?' }, |
| 346 | }, |
| 347 | ]; |
| 348 | const results = await IDX.upsert(newVectors); |
| 349 | assert.equal(results.mutationId, `total vectors: 4`); |
| 350 | } |
| 351 | }, |
| 352 | }; |
| 353 | |
| 354 | export const test_vector_search_vector_delete_ids = { |
| 355 | /** |
| 356 | * @param {unknown} _ |
| 357 | * @param {Env} env |
| 358 | */ |
| 359 | async test(_, env) { |
| 360 | const IDX = env['vector-search']; |
| 361 | { |
| 362 | const results = await IDX.deleteByIds([ |
| 363 | 'vector-a', |
| 364 | 'vector-b', |
| 365 | 'vector-c', |
| 366 | ]); |
| 367 | assert.equal(results.mutationId, `deleted vectors: 3`); |
| 368 | } |
| 369 | }, |
| 370 | }; |
| 371 | |
| 372 | export const test_vector_search_vector_get_ids = { |
| 373 | /** |
| 374 | * @param {unknown} _ |
| 375 | * @param {Env} env |
| 376 | */ |
| 377 | async test(_, env) { |
| 378 | const IDX = env['vector-search']; |
| 379 | { |
| 380 | const results = await IDX.getByIds([ |
| 381 | 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 382 | '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 383 | ]); |
| 384 | assert.deepStrictEqual(results, [ |
| 385 | { |
| 386 | id: 'b0daca4a-ffd8-4865-926b-e24800af2a2d', |
| 387 | values: [0.2331, 1.0125, 0.6131, 0.9421, 0.9661, 0.8121], |
| 388 | metadata: { text: 'She sells seashells by the seashore' }, |
| 389 | }, |
| 390 | { |
| 391 | id: '43cfcb31-07e2-411f-8bf9-f82a95ba8b96', |
| 392 | values: [0.0515, 0.7512, 0.8612, 0.2153, 0.15121, 0.6812], |
| 393 | metadata: { |
| 394 | text: 'You know New York, you need New York, you know you need unique New York', |
| 395 | }, |
| 396 | }, |
| 397 | ]); |
| 398 | } |
| 399 | }, |
| 400 | }; |
| 401 | |
| 402 | export const test_vector_search_can_use_enum_exports = { |
| 403 | async test() { |
| 404 | assert.equal( |
| 405 | KnownModel['openai/text-embedding-ada-002'], |
| 406 | 'openai/text-embedding-ada-002' |
| 407 | ); |
| 408 | assert.equal(DistanceMetric.COSINE, 'cosine'); |
| 409 | }, |
| 410 | }; |