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Search integration test to check score details and vector store
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76e1ee9988
commit
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@ -752,3 +752,127 @@ async fn faceting_max_values_per_facet() {
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)
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.await;
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}
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#[actix_rt::test]
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async fn experimental_feature_score_details() {
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let server = Server::new().await;
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let index = server.index("test");
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let documents = DOCUMENTS.clone();
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index.add_documents(json!(documents), None).await;
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index.wait_task(0).await;
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index
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.search(
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json!({
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"q": "train dragon",
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"showRankingScoreDetails": true,
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}),
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|response, code| {
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meili_snap::snapshot!(code, @"400 Bad Request");
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meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
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{
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"message": "Computing score details requires enabling the `score details` experimental feature. See https://github.com/meilisearch/product/discussions/674",
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"code": "feature_not_enabled",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
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}
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"###);
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},
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)
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.await;
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let (response, code) = server.set_features(json!({"scoreDetails": true})).await;
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meili_snap::snapshot!(code, @"200 OK");
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meili_snap::snapshot!(response["scoreDetails"], @"true");
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index
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.search(
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json!({
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"q": "train dragon",
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"showRankingScoreDetails": true,
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}),
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|response, code| {
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meili_snap::snapshot!(code, @"200 OK");
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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": "How to Train Your Dragon: The Hidden World",
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"id": "166428",
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"_rankingScoreDetails": {
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"words": {
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"order": 0,
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"matchingWords": 2,
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"maxMatchingWords": 2,
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"score": 1.0
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},
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"typo": {
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"order": 1,
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"typoCount": 0,
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"maxTypoCount": 2,
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"score": 1.0
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},
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"proximity": {
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"order": 2,
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"score": 0.875
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},
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"attribute": {
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"order": 3,
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"attribute_ranking_order_score": 1.0,
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"query_word_distance_score": 0.8095238095238095,
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"score": 0.9365079365079364
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},
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"exactness": {
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"order": 4,
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"matchType": "noExactMatch",
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"matchingWords": 2,
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"maxMatchingWords": 2,
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"score": 0.3333333333333333
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}
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}
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}
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]
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"###);
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},
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)
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.await;
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}
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#[actix_rt::test]
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async fn experimental_feature_vector_store() {
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let server = Server::new().await;
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let index = server.index("test");
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let documents = DOCUMENTS.clone();
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index.add_documents(json!(documents), None).await;
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index.wait_task(0).await;
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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, @"400 Bad Request");
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meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
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{
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"message": "Passing `vector` as a query parameter requires enabling the `vector store` experimental feature. See https://github.com/meilisearch/product/discussions/677",
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"code": "feature_not_enabled",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#feature_not_enabled"
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}
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"###);
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let (response, code) = server.set_features(json!({"vectorStore": true})).await;
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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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.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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meili_snap::snapshot!(meili_snap::json_string!(response["hits"]), @"[]");
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}
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