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adjust prose tests
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‎test/manual/search-index-management.prose.test.ts‎

Lines changed: 160 additions & 147 deletions
Original file line numberDiff line numberDiff line change
@@ -4,7 +4,13 @@ import { Readable } from 'stream';
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import { clearTimeout, setTimeout as setTimeoutCb } from 'timers';
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import { setInterval } from 'timers/promises';
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import { type Collection, type Document, type MongoClient, ObjectId, MongoServerError } from '../mongodb';
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import {
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type Collection,
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type Document,
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type MongoClient,
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MongoServerError,
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ObjectId
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} from '../mongodb';
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class TimeoutController extends AbortController {
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timeoutId: NodeJS.Timeout;
@@ -284,156 +290,163 @@ describe('Index Management Prose Tests', function () {
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}
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);
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287-
it('Case 7: Driver can successfully handle search index types when creating indexes', metadata, async function () {
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// 01. Create a collection with the "create" command using a randomly generated name (referred to as `coll0`).
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const coll0 = collection;
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{
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// 02. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
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// ```typescript
293-
// {
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// name: 'test-search-index-case7-implicit',
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// definition: {
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// mappings: { dynamic: false }
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// }
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// }
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// ```
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const indexName = await coll0.createSearchIndex({
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name: 'test-search-index-case7-implicit',
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definition: {
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mappings: { dynamic: false }
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}
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})
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// 03. Assert that the command returns the name of the index: `"test-search-index-case7-implicit"`.
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expect(indexName).to.equal('test-search-index-case7-implicit')
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// 04. Run `coll0.listSearchIndexes('test-search-index-case7-implicit')` repeatedly every 5 seconds until the following
309-
// condition is satisfied and store the value in a variable `index1`:
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// - An index with the `name` of `test-search-index-case7-implicit` is present and the index has a field `queryable`
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// with a value of `true`.
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const [index1] = await waitForIndexes({
315-
predicate: indexes => indexes.every(index => index.queryable),
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indexNames: 'test-search-index-case7-implicit'
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});
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// 05. Assert that `index1` has a property `type` whose value is `search`.
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expect(index1).to.have.property('type', 'search');
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}
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{
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// 06. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
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// ```typescript
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// {
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// name: 'test-search-index-case7-explicit',
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// type: 'search',
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// definition: {
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// mappings: { dynamic: false }
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// }
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// }
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// ```
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const indexName = await coll0.createSearchIndex({
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name: 'test-search-index-case7-explicit',
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type: 'search',
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definition: {
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mappings: { dynamic: false }
338-
}
293+
it(
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'Case 7: Driver can successfully handle search index types when creating indexes',
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metadata,
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async function () {
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// 01. Create a collection with the "create" command using a randomly generated name (referred to as `coll0`).
298+
const coll0 = collection;
299+
{
300+
// 02. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
301+
// ```typescript
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// {
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// name: 'test-search-index-case7-implicit',
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// definition: {
305+
// mappings: { dynamic: false }
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// }
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// }
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// ```
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const indexName = await coll0.createSearchIndex({
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name: 'test-search-index-case7-implicit',
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definition: {
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mappings: { dynamic: false }
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}
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});
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// 03. Assert that the command returns the name of the index: `"test-search-index-case7-implicit"`.
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expect(indexName).to.equal('test-search-index-case7-implicit');
317+
// 04. Run `coll0.listSearchIndexes('test-search-index-case7-implicit')` repeatedly every 5 seconds until the following
318+
// condition is satisfied and store the value in a variable `index1`:
319+
320+
// - An index with the `name` of `test-search-index-case7-implicit` is present and the index has a field `queryable`
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// with a value of `true`.
322+
323+
const [index1] = await waitForIndexes({
324+
predicate: indexes => indexes.every(index => index.queryable),
325+
indexNames: 'test-search-index-case7-implicit'
326+
});
327+
328+
// 05. Assert that `index1` has a property `type` whose value is `search`.
329+
expect(index1).to.have.property('type', 'search');
330+
}
331+
{
332+
// 06. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
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// ```typescript
334+
// {
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// name: 'test-search-index-case7-explicit',
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// type: 'search',
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// definition: {
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// mappings: { dynamic: false }
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// }
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// }
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// ```
342+
const indexName = await coll0.createSearchIndex({
343+
name: 'test-search-index-case7-explicit',
344+
type: 'search',
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definition: {
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mappings: { dynamic: false }
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}
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});
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// 07. Assert that the command returns the name of the index: `"test-search-index-case7-explicit"`.
350+
expect(indexName).to.equal('test-search-index-case7-explicit');
351+
// 08. Run `coll0.listSearchIndexes('test-search-index-case7-explicit')` repeatedly every 5 seconds until the following
352+
// condition is satisfied and store the value in a variable `index2`:
353+
354+
// - An index with the `name` of `test-search-index-case7-explicit` is present and the index has a field `queryable`
355+
// with a value of `true`.
356+
357+
const [index2] = await waitForIndexes({
358+
predicate: indexes => indexes.every(index => index.queryable),
359+
indexNames: 'test-search-index-case7-explicit'
360+
});
361+
// 09. Assert that `index2` has a property `type` whose value is `search`.
362+
expect(index2).to.have.property('type', 'search');
363+
}
364+
{
365+
// 10. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
366+
// ```typescript
367+
// {
368+
// name: 'test-search-index-case7-vector',
369+
// type: 'vectorSearch',
370+
// definition: {
371+
// "fields": [
372+
// {
373+
// "type": "vector",
374+
// "path": "plot_embedding",
375+
// "numDimensions": 1536,
376+
// "similarity": "euclidean",
377+
// },
378+
// ]
379+
// }
380+
// }
381+
// ```
382+
383+
const indexName = await coll0.createSearchIndex({
384+
name: 'test-search-index-case7-vector',
385+
type: 'vectorSearch',
386+
definition: {
387+
fields: [
388+
{
389+
type: 'vector',
390+
path: 'plot_embedding',
391+
numDimensions: 1536,
392+
similarity: 'euclidean'
393+
}
394+
]
395+
}
396+
});
397+
// 11. Assert that the command returns the name of the index: `"test-search-index-case7-vector"`.
398+
expect(indexName).to.equal('test-search-index-case7-vector');
399+
// 12. Run `coll0.listSearchIndexes('test-search-index-case7-vector')` repeatedly every 5 seconds until the following
400+
// condition is satisfied and store the value in a variable `index3`:
401+
// - An index with the `name` of `test-search-index-case7-vector` is present and the index has a field `queryable` with
402+
// a value of `true`.
403+
const [index3] = await waitForIndexes({
404+
predicate: indexes => indexes.every(index => index.queryable),
405+
indexNames: 'test-search-index-case7-vector'
406+
});
407+
408+
// 13. Assert that `index3` has a property `type` whose value is `vectorSearch`.
409+
expect(index3).to.have.property('type', 'vectorSearch');
339410
}
340-
)
341-
// 07. Assert that the command returns the name of the index: `"test-search-index-case7-explicit"`.
342-
expect(indexName).to.equal('test-search-index-case7-explicit')
343-
// 08. Run `coll0.listSearchIndexes('test-search-index-case7-explicit')` repeatedly every 5 seconds until the following
344-
// condition is satisfied and store the value in a variable `index2`:
345-
346-
// - An index with the `name` of `test-search-index-case7-explicit` is present and the index has a field `queryable`
347-
// with a value of `true`.
348-
349-
const [index2] = await waitForIndexes({
350-
predicate: indexes => indexes.every(index => index.queryable),
351-
indexNames: 'test-search-index-case7-explicit'
352-
});
353-
// 09. Assert that `index2` has a property `type` whose value is `search`.
354-
expect(index2).to.have.property('type', 'search');
355411
}
356-
{
357-
// 10. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
358-
// ```typescript
359-
// {
360-
// name: 'test-search-index-case7-vector',
361-
// type: 'vectorSearch',
362-
// definition: {
363-
// "fields": [
364-
// {
365-
// "type": "vector",
366-
// "path": "plot_embedding",
367-
// "numDimensions": 1536,
368-
// "similarity": "euclidean",
369-
// },
370-
// ]
371-
// }
372-
// }
373-
// ```
412+
);
374413

375-
const indexName = await coll0.createSearchIndex({
376-
name: 'test-search-index-case7-vector',
377-
type: 'vectorSearch',
378-
definition: {
379-
"fields": [
380-
{
381-
"type": "vector",
382-
"path": "plot_embedding",
383-
"numDimensions": 1536,
384-
"similarity": "euclidean",
385-
},
386-
]
387-
}
414+
it('Case 8: Driver requires explicit type to create a vector search index', async function () {
415+
// 1. Create a collection with the "create" command using a randomly generated name (referred to as `coll0`).
416+
const coll0 = collection;
417+
418+
// 2. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
419+
// {
420+
// name: 'test-search-index-case8-error',
421+
// definition: {
422+
// fields: [
423+
// {
424+
// type: 'vector',
425+
// path: 'plot_embedding',
426+
// numDimensions: 1536,
427+
// similarity: 'euclidean',
428+
// },
429+
// ]
430+
// }
431+
// }
432+
const definition = {
433+
name: 'test-search-index-case8-error',
434+
definition: {
435+
fields: [
436+
{
437+
type: 'vector',
438+
path: 'plot_embedding',
439+
numDimensions: 1536,
440+
similarity: 'euclidean'
441+
}
442+
]
388443
}
389-
)
390-
// 11. Assert that the command returns the name of the index: `"test-search-index-case7-vector"`.
391-
expect(indexName).to.equal("test-search-index-case7-vector");
392-
// 12. Run `coll0.listSearchIndexes('test-search-index-case7-vector')` repeatedly every 5 seconds until the following
393-
// condition is satisfied and store the value in a variable `index3`:
394-
// - An index with the `name` of `test-search-index-case7-vector` is present and the index has a field `queryable` with
395-
// a value of `true`.
396-
const [index3] = await waitForIndexes({
397-
predicate: indexes => indexes.every(index => index.queryable),
398-
indexNames: 'test-search-index-case7-vector'
399-
});
444+
};
445+
const error = await coll0.createSearchIndex(definition).catch(e => e);
400446

401-
// 13. Assert that `index3` has a property `type` whose value is `vectorSearch`.
402-
expect(index3).to.have.property('type', 'vectorSearch');
403-
}
404-
{
405-
// 14. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
406-
// ```typescript
407-
// {
408-
// name: 'test-search-index-case7-error',
409-
// definition: {
410-
// "fields": [
411-
// {
412-
// "type": "vector",
413-
// "path": "plot_embedding",
414-
// "numDimensions": 1536,
415-
// "similarity": "euclidean",
416-
// },
417-
// ]
418-
// }
419-
// }
420-
// ```
421-
const error = await coll0.createSearchIndex({
422-
name: 'test-search-index-case7-error',
423-
definition: {
424-
"fields": [
425-
{
426-
"type": "vector",
427-
"path": "plot_embedding",
428-
"numDimensions": 1536,
429-
"similarity": "euclidean",
430-
},
431-
]
432-
}
433-
}).catch(e => e)
434-
// 15. Assert that the command throws an exception due to the `mappings` field missing.
435-
expect(error).to.be.instanceOf(MongoServerError).to.match(/mappings/i);
436-
}
437-
})
447+
// 3. Assert that the command throws an exception containing the string "Attribute mappings missing" due to the `mappings`
448+
// field missing.
449+
expect(error).to.match(/Attribute mappings missing/i);
450+
});
438451
});
439452
});

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