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368: Update tests related to the next Meilisearch release (v1.6.0) r=curquiza a=meili-bot

Related to this issue: meilisearch/integration-guides#294

This PR:
- gathers the changes related to the next Meilisearch release (v1.6.0) so that this package is ready when the official release is out.
- should pass the tests against the [latest pre-release of Meilisearch](https://github.com/meilisearch/meilisearch/releases).
- might eventually contain test failures until the Meilisearch v1.6.0 is out.

⚠️ This PR should NOT be merged until the next release of Meilisearch (v1.6.0) is out.

_This PR is auto-generated for the [pre-release week](https://github.com/meilisearch/integration-guides/blob/main/resources/pre-release-week.md) purpose._


Co-authored-by: meili-bot <[email protected]>
Co-authored-by: curquiza <[email protected]>
Co-authored-by: Clémentine U. - curqui <[email protected]>
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3 people authored Jan 15, 2024
2 parents 7411ffb + 7635e66 commit 1bfa49a
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2 changes: 2 additions & 0 deletions README.md
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Expand Up @@ -202,6 +202,8 @@ await index.search('wonder', filter: ['id > 1 AND genres = Action']);

This package guarantees compatibility with [version v1.x of Meilisearch](https://github.com/meilisearch/meilisearch/releases/tag/latest), but some features may not be present. Please check the [issues](https://github.com/meilisearch/meilisearch-dart/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22+label%3Aenhancement) for more info.

⚠️ This package is not compatible with the [`vectoreStore` experimental feature](https://www.meilisearch.com/docs/learn/experimental/vector_search) of Meilisearch v1.6.0 and later. More information on this [issue](https://github.com/meilisearch/meilisearch-dart/issues/369).

## 💡 Learn more

The following sections in our main documentation website may interest you:
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312 changes: 156 additions & 156 deletions test/search_test.dart
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@@ -1,5 +1,4 @@
import 'package:meilisearch/meilisearch.dart';
import 'package:meilisearch/src/results/experimental_features.dart';
import 'package:test/test.dart';

import 'utils/books.dart';
Expand Down Expand Up @@ -449,161 +448,162 @@ void main() {
});
});

group('Experimental', () {
setUpClient();
late String uid;
late MeiliSearchIndex index;
late ExperimentalFeatures features;
setUp(() async {
features = await client.http.updateExperimentalFeatures(
UpdateExperimentalFeatures(
scoreDetails: true,
vectorStore: true,
),
);
expect(features.scoreDetails, true);
expect(features.vectorStore, true);

uid = randomUid();
index = await createIndexWithData(uid: uid, data: vectorBooks);
});

test('vector search', () async {
final vector = [0, 1, 2];
final res = await index
.search(
null,
SearchQuery(
vector: vector,
),
)
.asSearchResult()
.mapToContainer();

expect(res.vector, vector);
expect(
res.hits,
everyElement(
isA<MeiliDocumentContainer<Map<String, dynamic>>>()
.having(
(p0) => p0.vectors,
'vectors',
isNotNull,
)
.having(
(p0) => p0.semanticScore,
'semanticScore',
isNotNull,
),
),
);
});

test('normal search', () async {
final res = await index
.search(
'The',
SearchQuery(
showRankingScore: true,
showRankingScoreDetails: true,
attributesToHighlight: ['*'],
showMatchesPosition: true,
),
)
.asSearchResult()
.mapToContainer();

final attributeMatcher = isA<MeiliRankingScoreDetailsAttributeRule>()
.having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.score, 'score', isNotNull)
.having((p0) => p0.order, 'order', isNotNull)
.having((p0) => p0.queryWordDistanceScore, 'queryWordDistanceScore',
isNotNull)
.having((p0) => p0.attributeRankingOrderScore,
'attributeRankingOrderScore', isNotNull);

final wordsMatcher = isA<MeiliRankingScoreDetailsWordsRule>()
.having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.score, 'score', isNotNull)
.having((p0) => p0.order, 'order', isNotNull)
.having((p0) => p0.matchingWords, 'matchingWords', isNotNull)
.having((p0) => p0.maxMatchingWords, 'maxMatchingWords', isNotNull);

final exactnessMatcher = isA<MeiliRankingScoreDetailsExactnessRule>()
.having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.score, 'score', isNotNull)
.having((p0) => p0.order, 'order', isNotNull)
.having(
(p0) => p0.matchType,
'matchType',
allOf(isNotNull, isNotEmpty),
);

final typoMatcher = isA<MeiliRankingScoreDetailsTypoRule>()
.having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.score, 'score', isNotNull)
.having((p0) => p0.order, 'order', isNotNull)
.having((p0) => p0.typoCount, 'typoCount', isNotNull)
.having((p0) => p0.maxTypoCount, 'maxTypoCount', isNotNull);

final proximityMatcher = isA<MeiliRankingScoreDetailsProximityRule>()
.having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.score, 'score', isNotNull)
.having((p0) => p0.order, 'order', isNotNull);

final rankingScoreDetailsMatcher = isA<MeiliRankingScoreDetails>()
.having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.attribute, 'attribute', attributeMatcher)
.having((p0) => p0.words, 'words', wordsMatcher)
.having((p0) => p0.exactness, 'exactness', exactnessMatcher)
.having((p0) => p0.typo, 'typo', typoMatcher)
.having((p0) => p0.proximity, 'proximity', proximityMatcher)
.having(
(p0) => p0.customRules, 'customRules', allOf(isNotNull, isEmpty));

expect(res.hits.length, 2);

expect(
res.hits,
everyElement(
isA<MeiliDocumentContainer<Map<String, dynamic>>>()
.having(
(p0) => p0.formatted,
'formatted',
allOf(isNotNull, isNotEmpty, contains('id')),
)
.having(
(p0) => p0.matchesPosition,
'matchesPosition',
allOf(isNotNull, isNotEmpty, containsPair('title', isNotEmpty)),
)
.having(
(p0) => p0.parsed,
'parsed',
isNotEmpty,
)
.having(
(p0) => p0.src,
'src',
isNotEmpty,
)
.having(
(p0) => p0.rankingScore,
'rankingScore',
isNotNull,
)
.having(
(p0) => p0.rankingScoreDetails,
'rankingScoreDetails',
rankingScoreDetailsMatcher,
)
.having(
(p0) => p0.vectors, 'vectors', allOf(isNotNull, isNotEmpty))
.having((p0) => p0.semanticScore, 'semanticScore', isNull),
),
);
});
});
// Commented because of https://github.com/meilisearch/meilisearch-dart/issues/369
// group('Experimental', () {
// setUpClient();
// late String uid;
// late MeiliSearchIndex index;
// late ExperimentalFeatures features;
// setUp(() async {
// features = await client.http.updateExperimentalFeatures(
// UpdateExperimentalFeatures(
// scoreDetails: true,
// vectorStore: true,
// ),
// );
// expect(features.scoreDetails, true);
// expect(features.vectorStore, true);

// uid = randomUid();
// index = await createIndexWithData(uid: uid, data: vectorBooks);
// });

// test('vector search', () async {
// final vector = [0, 1, 2];
// final res = await index
// .search(
// null,
// SearchQuery(
// vector: vector,
// ),
// )
// .asSearchResult()
// .mapToContainer();

// expect(res.vector, vector);
// expect(
// res.hits,
// everyElement(
// isA<MeiliDocumentContainer<Map<String, dynamic>>>()
// .having(
// (p0) => p0.vectors,
// 'vectors',
// isNotNull,
// )
// .having(
// (p0) => p0.semanticScore,
// 'semanticScore',
// isNotNull,
// ),
// ),
// );
// });

// test('normal search', () async {
// final res = await index
// .search(
// 'The',
// SearchQuery(
// showRankingScore: true,
// showRankingScoreDetails: true,
// attributesToHighlight: ['*'],
// showMatchesPosition: true,
// ),
// )
// .asSearchResult()
// .mapToContainer();

// final attributeMatcher = isA<MeiliRankingScoreDetailsAttributeRule>()
// .having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.score, 'score', isNotNull)
// .having((p0) => p0.order, 'order', isNotNull)
// .having((p0) => p0.queryWordDistanceScore, 'queryWordDistanceScore',
// isNotNull)
// .having((p0) => p0.attributeRankingOrderScore,
// 'attributeRankingOrderScore', isNotNull);

// final wordsMatcher = isA<MeiliRankingScoreDetailsWordsRule>()
// .having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.score, 'score', isNotNull)
// .having((p0) => p0.order, 'order', isNotNull)
// .having((p0) => p0.matchingWords, 'matchingWords', isNotNull)
// .having((p0) => p0.maxMatchingWords, 'maxMatchingWords', isNotNull);

// final exactnessMatcher = isA<MeiliRankingScoreDetailsExactnessRule>()
// .having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.score, 'score', isNotNull)
// .having((p0) => p0.order, 'order', isNotNull)
// .having(
// (p0) => p0.matchType,
// 'matchType',
// allOf(isNotNull, isNotEmpty),
// );

// final typoMatcher = isA<MeiliRankingScoreDetailsTypoRule>()
// .having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.score, 'score', isNotNull)
// .having((p0) => p0.order, 'order', isNotNull)
// .having((p0) => p0.typoCount, 'typoCount', isNotNull)
// .having((p0) => p0.maxTypoCount, 'maxTypoCount', isNotNull);

// final proximityMatcher = isA<MeiliRankingScoreDetailsProximityRule>()
// .having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.score, 'score', isNotNull)
// .having((p0) => p0.order, 'order', isNotNull);

// final rankingScoreDetailsMatcher = isA<MeiliRankingScoreDetails>()
// .having((p0) => p0.src, 'src', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.attribute, 'attribute', attributeMatcher)
// .having((p0) => p0.words, 'words', wordsMatcher)
// .having((p0) => p0.exactness, 'exactness', exactnessMatcher)
// .having((p0) => p0.typo, 'typo', typoMatcher)
// .having((p0) => p0.proximity, 'proximity', proximityMatcher)
// .having(
// (p0) => p0.customRules, 'customRules', allOf(isNotNull, isEmpty));

// expect(res.hits.length, 2);

// expect(
// res.hits,
// everyElement(
// isA<MeiliDocumentContainer<Map<String, dynamic>>>()
// .having(
// (p0) => p0.formatted,
// 'formatted',
// allOf(isNotNull, isNotEmpty, contains('id')),
// )
// .having(
// (p0) => p0.matchesPosition,
// 'matchesPosition',
// allOf(isNotNull, isNotEmpty, containsPair('title', isNotEmpty)),
// )
// .having(
// (p0) => p0.parsed,
// 'parsed',
// isNotEmpty,
// )
// .having(
// (p0) => p0.src,
// 'src',
// isNotEmpty,
// )
// .having(
// (p0) => p0.rankingScore,
// 'rankingScore',
// isNotNull,
// )
// .having(
// (p0) => p0.rankingScoreDetails,
// 'rankingScoreDetails',
// rankingScoreDetailsMatcher,
// )
// .having(
// (p0) => p0.vectors, 'vectors', allOf(isNotNull, isNotEmpty))
// .having((p0) => p0.semanticScore, 'semanticScore', isNull),
// ),
// );
// });
// });

test('search code samples', () async {
// #docregion search_get_1
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