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adjust prose tests
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@baileympearson
baileympearson committed Apr 15, 2024
1 parent 71458a9 commit 0a192ce
Showing 1 changed file with 160 additions and 147 deletions.
307 changes: 160 additions & 147 deletions test/manual/search-index-management.prose.test.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,13 @@ import { Readable } from 'stream';
import { clearTimeout, setTimeout as setTimeoutCb } from 'timers';
import { setInterval } from 'timers/promises';

import { type Collection, type Document, type MongoClient, ObjectId, MongoServerError } from '../mongodb';
import {
type Collection,
type Document,
type MongoClient,
MongoServerError,
ObjectId
} from '../mongodb';

class TimeoutController extends AbortController {
timeoutId: NodeJS.Timeout;
Expand Down Expand Up @@ -284,156 +290,163 @@ describe('Index Management Prose Tests', function () {
}
);

it('Case 7: Driver can successfully handle search index types when creating indexes', metadata, async function () {
// 01. Create a collection with the "create" command using a randomly generated name (referred to as `coll0`).
const coll0 = collection;
{
// 02. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-implicit',
// definition: {
// mappings: { dynamic: false }
// }
// }
// ```
const indexName = await coll0.createSearchIndex({
name: 'test-search-index-case7-implicit',
definition: {
mappings: { dynamic: false }
}
})
// 03. Assert that the command returns the name of the index: `"test-search-index-case7-implicit"`.
expect(indexName).to.equal('test-search-index-case7-implicit')
// 04. Run `coll0.listSearchIndexes('test-search-index-case7-implicit')` repeatedly every 5 seconds until the following
// condition is satisfied and store the value in a variable `index1`:

// - An index with the `name` of `test-search-index-case7-implicit` is present and the index has a field `queryable`
// with a value of `true`.

const [index1] = await waitForIndexes({
predicate: indexes => indexes.every(index => index.queryable),
indexNames: 'test-search-index-case7-implicit'
});

// 05. Assert that `index1` has a property `type` whose value is `search`.
expect(index1).to.have.property('type', 'search');
}
{
// 06. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-explicit',
// type: 'search',
// definition: {
// mappings: { dynamic: false }
// }
// }
// ```
const indexName = await coll0.createSearchIndex({
name: 'test-search-index-case7-explicit',
type: 'search',
definition: {
mappings: { dynamic: false }
}
it(
'Case 7: Driver can successfully handle search index types when creating indexes',
metadata,
async function () {
// 01. Create a collection with the "create" command using a randomly generated name (referred to as `coll0`).
const coll0 = collection;
{
// 02. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-implicit',
// definition: {
// mappings: { dynamic: false }
// }
// }
// ```
const indexName = await coll0.createSearchIndex({
name: 'test-search-index-case7-implicit',
definition: {
mappings: { dynamic: false }
}
});
// 03. Assert that the command returns the name of the index: `"test-search-index-case7-implicit"`.
expect(indexName).to.equal('test-search-index-case7-implicit');
// 04. Run `coll0.listSearchIndexes('test-search-index-case7-implicit')` repeatedly every 5 seconds until the following
// condition is satisfied and store the value in a variable `index1`:

// - An index with the `name` of `test-search-index-case7-implicit` is present and the index has a field `queryable`
// with a value of `true`.

const [index1] = await waitForIndexes({
predicate: indexes => indexes.every(index => index.queryable),
indexNames: 'test-search-index-case7-implicit'
});

// 05. Assert that `index1` has a property `type` whose value is `search`.
expect(index1).to.have.property('type', 'search');
}
{
// 06. Create a new search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-explicit',
// type: 'search',
// definition: {
// mappings: { dynamic: false }
// }
// }
// ```
const indexName = await coll0.createSearchIndex({
name: 'test-search-index-case7-explicit',
type: 'search',
definition: {
mappings: { dynamic: false }
}
});
// 07. Assert that the command returns the name of the index: `"test-search-index-case7-explicit"`.
expect(indexName).to.equal('test-search-index-case7-explicit');
// 08. Run `coll0.listSearchIndexes('test-search-index-case7-explicit')` repeatedly every 5 seconds until the following
// condition is satisfied and store the value in a variable `index2`:

// - An index with the `name` of `test-search-index-case7-explicit` is present and the index has a field `queryable`
// with a value of `true`.

const [index2] = await waitForIndexes({
predicate: indexes => indexes.every(index => index.queryable),
indexNames: 'test-search-index-case7-explicit'
});
// 09. Assert that `index2` has a property `type` whose value is `search`.
expect(index2).to.have.property('type', 'search');
}
{
// 10. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-vector',
// type: 'vectorSearch',
// definition: {
// "fields": [
// {
// "type": "vector",
// "path": "plot_embedding",
// "numDimensions": 1536,
// "similarity": "euclidean",
// },
// ]
// }
// }
// ```

const indexName = await coll0.createSearchIndex({
name: 'test-search-index-case7-vector',
type: 'vectorSearch',
definition: {
fields: [
{
type: 'vector',
path: 'plot_embedding',
numDimensions: 1536,
similarity: 'euclidean'
}
]
}
});
// 11. Assert that the command returns the name of the index: `"test-search-index-case7-vector"`.
expect(indexName).to.equal('test-search-index-case7-vector');
// 12. Run `coll0.listSearchIndexes('test-search-index-case7-vector')` repeatedly every 5 seconds until the following
// condition is satisfied and store the value in a variable `index3`:
// - An index with the `name` of `test-search-index-case7-vector` is present and the index has a field `queryable` with
// a value of `true`.
const [index3] = await waitForIndexes({
predicate: indexes => indexes.every(index => index.queryable),
indexNames: 'test-search-index-case7-vector'
});

// 13. Assert that `index3` has a property `type` whose value is `vectorSearch`.
expect(index3).to.have.property('type', 'vectorSearch');
}
)
// 07. Assert that the command returns the name of the index: `"test-search-index-case7-explicit"`.
expect(indexName).to.equal('test-search-index-case7-explicit')
// 08. Run `coll0.listSearchIndexes('test-search-index-case7-explicit')` repeatedly every 5 seconds until the following
// condition is satisfied and store the value in a variable `index2`:

// - An index with the `name` of `test-search-index-case7-explicit` is present and the index has a field `queryable`
// with a value of `true`.

const [index2] = await waitForIndexes({
predicate: indexes => indexes.every(index => index.queryable),
indexNames: 'test-search-index-case7-explicit'
});
// 09. Assert that `index2` has a property `type` whose value is `search`.
expect(index2).to.have.property('type', 'search');
}
{
// 10. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-vector',
// type: 'vectorSearch',
// definition: {
// "fields": [
// {
// "type": "vector",
// "path": "plot_embedding",
// "numDimensions": 1536,
// "similarity": "euclidean",
// },
// ]
// }
// }
// ```
);

const indexName = await coll0.createSearchIndex({
name: 'test-search-index-case7-vector',
type: 'vectorSearch',
definition: {
"fields": [
{
"type": "vector",
"path": "plot_embedding",
"numDimensions": 1536,
"similarity": "euclidean",
},
]
}
it('Case 8: Driver requires explicit type to create a vector search index', async function () {
// 1. Create a collection with the "create" command using a randomly generated name (referred to as `coll0`).
const coll0 = collection;

// 2. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// {
// name: 'test-search-index-case8-error',
// definition: {
// fields: [
// {
// type: 'vector',
// path: 'plot_embedding',
// numDimensions: 1536,
// similarity: 'euclidean',
// },
// ]
// }
// }
const definition = {
name: 'test-search-index-case8-error',
definition: {
fields: [
{
type: 'vector',
path: 'plot_embedding',
numDimensions: 1536,
similarity: 'euclidean'
}
]
}
)
// 11. Assert that the command returns the name of the index: `"test-search-index-case7-vector"`.
expect(indexName).to.equal("test-search-index-case7-vector");
// 12. Run `coll0.listSearchIndexes('test-search-index-case7-vector')` repeatedly every 5 seconds until the following
// condition is satisfied and store the value in a variable `index3`:
// - An index with the `name` of `test-search-index-case7-vector` is present and the index has a field `queryable` with
// a value of `true`.
const [index3] = await waitForIndexes({
predicate: indexes => indexes.every(index => index.queryable),
indexNames: 'test-search-index-case7-vector'
});
};
const error = await coll0.createSearchIndex(definition).catch(e => e);

// 13. Assert that `index3` has a property `type` whose value is `vectorSearch`.
expect(index3).to.have.property('type', 'vectorSearch');
}
{
// 14. Create a new vector search index on `coll0` with the `createSearchIndex` helper. Use the following definition:
// ```typescript
// {
// name: 'test-search-index-case7-error',
// definition: {
// "fields": [
// {
// "type": "vector",
// "path": "plot_embedding",
// "numDimensions": 1536,
// "similarity": "euclidean",
// },
// ]
// }
// }
// ```
const error = await coll0.createSearchIndex({
name: 'test-search-index-case7-error',
definition: {
"fields": [
{
"type": "vector",
"path": "plot_embedding",
"numDimensions": 1536,
"similarity": "euclidean",
},
]
}
}).catch(e => e)
// 15. Assert that the command throws an exception due to the `mappings` field missing.
expect(error).to.be.instanceOf(MongoServerError).to.match(/mappings/i);
}
})
// 3. Assert that the command throws an exception containing the string "Attribute mappings missing" due to the `mappings`
// field missing.
expect(error).to.match(/Attribute mappings missing/i);
});
});
});

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