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https://github.com/meilisearch/meilisearch.git
synced 2024-11-22 18:17:39 +08:00
Tests pass
This commit is contained in:
Louis Dureuil
parent
61bd2fb7a9
commit
806e5b6899
@ -20,22 +20,27 @@ static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
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{
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"title": "Shazam!",
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"id": "287947",
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"_vectors": { "manual": [1, 2, 3]},
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},
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{
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"title": "Captain Marvel",
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"id": "299537",
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"_vectors": { "manual": [1, 2, 54] },
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},
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{
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"title": "Escape Room",
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"id": "522681",
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"_vectors": { "manual": [10, -23, 32] },
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},
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428",
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"_vectors": { "manual": [-100, 231, 32] },
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},
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{
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"title": "Gläss",
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"id": "450465",
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"_vectors": { "manual": [-100, 340, 90] },
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}
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])
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});
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@ -57,6 +62,7 @@ static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
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},
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],
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"cattos": "pésti",
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"_vectors": { "manual": [1, 2, 3]},
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},
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{
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"id": 654,
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@ -69,12 +75,14 @@ static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
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},
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],
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"cattos": ["simba", "pestiféré"],
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"_vectors": { "manual": [1, 2, 54] },
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},
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{
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"id": 750,
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"father": "romain",
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"mother": "michelle",
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"cattos": ["enigma"],
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"_vectors": { "manual": [10, 23, 32] },
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},
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{
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"id": 951,
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@ -91,6 +99,7 @@ static NESTED_DOCUMENTS: Lazy<Value> = Lazy::new(|| {
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},
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],
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"cattos": ["moumoute", "gomez"],
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"_vectors": { "manual": [10, 23, 32] },
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},
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])
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});
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@ -802,6 +811,13 @@ async fn experimental_feature_score_details() {
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428",
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"_vectors": {
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"manual": [
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-100,
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231,
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32
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]
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},
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"_rankingScoreDetails": {
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"words": {
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"order": 0,
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@ -823,7 +839,7 @@ async fn experimental_feature_score_details() {
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"order": 3,
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"attributeRankingOrderScore": 1.0,
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"queryWordDistanceScore": 0.8095238095238095,
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"score": 0.9365079365079364
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"score": 0.9727891156462584
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},
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"exactness": {
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"order": 4,
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@ -870,34 +886,89 @@ async fn experimental_feature_vector_store() {
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meili_snap::snapshot!(code, @"200 OK");
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meili_snap::snapshot!(response["vectorStore"], @"true");
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let (response, code) = index
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.update_settings(json!({"embedders": {
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"manual": {
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"source": {
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"userProvided": {"dimensions": 3}
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}
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}
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}}))
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.await;
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meili_snap::snapshot!(code, @"202 Accepted");
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let response = index.wait_task(response.uid()).await;
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meili_snap::snapshot!(meili_snap::json_string!(response["status"]), @"\"succeeded\"");
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let (response, code) = index
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.search_post(json!({
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"vector": [1.0, 2.0, 3.0],
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}))
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.await;
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meili_snap::snapshot!(code, @"200 OK");
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// vector search returns all documents that don't have vectors in the last bucket, like all sorts
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meili_snap::snapshot!(meili_snap::json_string!(response["hits"]), @r###"
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[
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{
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"title": "Shazam!",
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"id": "287947"
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"id": "287947",
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"_vectors": {
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"manual": [
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1,
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2,
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3
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]
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},
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"_semanticScore": 1.0
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},
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{
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"title": "Captain Marvel",
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"id": "299537"
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"id": "299537",
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"_vectors": {
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"manual": [
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1,
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2,
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54
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]
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},
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{
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"title": "Escape Room",
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"id": "522681"
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},
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428"
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"_semanticScore": 0.9129112
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},
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{
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"title": "Gläss",
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"id": "450465"
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"id": "450465",
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"_vectors": {
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"manual": [
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-100,
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340,
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90
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]
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},
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"_semanticScore": 0.8106413
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},
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428",
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"_vectors": {
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"manual": [
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-100,
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231,
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32
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]
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},
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"_semanticScore": 0.74120104
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},
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{
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"title": "Escape Room",
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"id": "522681",
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"_vectors": {
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"manual": [
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10,
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-23,
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32
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]
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}
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}
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]
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"###);
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@ -1150,7 +1221,14 @@ async fn simple_search_with_strange_synonyms() {
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[
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428"
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"id": "166428",
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"_vectors": {
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"manual": [
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-100,
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231,
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32
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]
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}
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}
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]
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"###);
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@ -1164,7 +1242,14 @@ async fn simple_search_with_strange_synonyms() {
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[
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428"
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"id": "166428",
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"_vectors": {
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"manual": [
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-100,
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231,
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32
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]
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}
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}
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]
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"###);
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@ -1178,7 +1263,14 @@ async fn simple_search_with_strange_synonyms() {
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[
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{
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"title": "How to Train Your Dragon: The Hidden World",
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"id": "166428"
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"id": "166428",
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"_vectors": {
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"manual": [
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-100,
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231,
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32
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]
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}
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}
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]
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"###);
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@ -72,7 +72,14 @@ async fn simple_search_single_index() {
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"hits": [
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{
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"title": "Gläss",
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"id": "450465"
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"id": "450465",
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"_vectors": {
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"manual": [
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-100,
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340,
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90
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]
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}
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}
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],
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"query": "glass",
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@ -86,7 +93,14 @@ async fn simple_search_single_index() {
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"hits": [
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{
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"title": "Captain Marvel",
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"id": "299537"
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"id": "299537",
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"_vectors": {
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"manual": [
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1,
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2,
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54
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]
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}
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}
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],
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"query": "captain",
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@ -177,7 +191,14 @@ async fn simple_search_two_indexes() {
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"hits": [
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{
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"title": "Gläss",
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"id": "450465"
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"id": "450465",
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"_vectors": {
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"manual": [
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-100,
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340,
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90
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]
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}
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}
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],
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"query": "glass",
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@ -203,7 +224,14 @@ async fn simple_search_two_indexes() {
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"age": 4
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}
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],
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"cattos": "pésti"
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"cattos": "pésti",
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"_vectors": {
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"manual": [
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1,
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2,
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3
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]
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}
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},
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{
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"id": 654,
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@ -218,8 +246,15 @@ async fn simple_search_two_indexes() {
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"cattos": [
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"simba",
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"pestiféré"
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],
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"_vectors": {
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"manual": [
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1,
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2,
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54
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]
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}
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}
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],
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"query": "pésti",
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"processingTimeMs": "[time]",
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@ -27,8 +27,11 @@ impl<Q: RankingRuleQueryTrait> VectorSort<Q> {
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distribution_shift: Option<DistributionShift>,
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embedder_name: &str,
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) -> Result<Self> {
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/// FIXME: unwrap
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let embedder_index = ctx.index.embedder_category_id.get(ctx.txn, embedder_name)?.unwrap();
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let embedder_index = ctx
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.index
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.embedder_category_id
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.get(ctx.txn, embedder_name)?
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.ok_or_else(|| crate::UserError::InvalidEmbedder(embedder_name.to_owned()))?;
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Ok(Self {
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query: None,
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@ -750,6 +750,8 @@ fn execute_word_prefix_docids(
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#[cfg(test)]
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mod tests {
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use std::collections::BTreeMap;
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use big_s::S;
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use fst::IntoStreamer;
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use heed::RwTxn;
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@ -759,6 +761,7 @@ mod tests {
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use crate::documents::documents_batch_reader_from_objects;
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use crate::index::tests::TempIndex;
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use crate::search::TermsMatchingStrategy;
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use crate::update::Setting;
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use crate::{db_snap, Filter, Search};
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#[test]
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@ -2550,13 +2553,34 @@ mod tests {
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/// Vectors must be of the same length.
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#[test]
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fn test_multiple_vectors() {
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use crate::vector::settings::{EmbedderSettings, EmbeddingSettings};
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let index = TempIndex::new();
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index.add_documents(documents!([{"id": 0, "_vectors": [[0, 1, 2], [3, 4, 5]] }])).unwrap();
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index.add_documents(documents!([{"id": 1, "_vectors": [6, 7, 8] }])).unwrap();
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index
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.update_settings(|settings| {
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let mut embedders = BTreeMap::default();
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embedders.insert(
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"manual".to_string(),
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Setting::Set(EmbeddingSettings {
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embedder_options: Setting::Set(EmbedderSettings::UserProvided(
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crate::vector::settings::UserProvidedSettings { dimensions: 3 },
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)),
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document_template: Setting::NotSet,
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}),
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);
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settings.set_embedder_settings(embedders);
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})
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.unwrap();
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index
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.add_documents(
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documents!([{"id": 2, "_vectors": [[9, 10, 11], [12, 13, 14], [15, 16, 17]] }]),
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documents!([{"id": 0, "_vectors": { "manual": [[0, 1, 2], [3, 4, 5]] } }]),
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)
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.unwrap();
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index.add_documents(documents!([{"id": 1, "_vectors": { "manual": [6, 7, 8] }}])).unwrap();
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index
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.add_documents(
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documents!([{"id": 2, "_vectors": { "manual": [[9, 10, 11], [12, 13, 14], [15, 16, 17]] }}]),
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)
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.unwrap();
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