mirror of
https://github.com/meilisearch/MeiliSearch
synced 2025-07-03 03:47:02 +02:00
Update tests
This commit is contained in:
parent
a35a339c3d
commit
1120a5296c
7 changed files with 185 additions and 128 deletions
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@ -624,7 +624,8 @@ async fn clear_documents() {
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"###);
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// Make sure the arroy DB has been cleared
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let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
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let (documents, _code) =
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index.search_post(json!({ "vector": [1, 1, 1], "hybrid": {"embedder": "manual"} })).await;
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snapshot!(documents, @r###"
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{
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"hits": [],
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@ -685,7 +686,11 @@ async fn add_remove_one_vector_4588() {
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let task = index.wait_task(value.uid()).await;
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snapshot!(task, name: "document-deleted");
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let (documents, _code) = index.search_post(json!({"vector": [1, 1, 1] })).await;
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let (documents, _code) = index
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.search_post(
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json!({"vector": [1, 1, 1], "hybrid": {"semanticRatio": 1.0, "embedder": "manual"} }),
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)
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.await;
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snapshot!(documents, @r###"
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{
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"hits": [
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@ -449,7 +449,7 @@ async fn it_works() {
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let (response, code) = index
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.search_post(json!({
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"q": "chien de chasse",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"},
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -489,7 +489,7 @@ async fn it_works() {
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let (response, code) = index
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.search_post(json!({
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"q": "petit chien",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -529,7 +529,7 @@ async fn it_works() {
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let (response, code) = index
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.search_post(json!({
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"q": "grand chien de berger des montagnes",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -616,7 +616,7 @@ async fn tokenize_long_text() {
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"q": "grand chien de berger des montagnes",
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"showRankingScore": true,
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"attributesToRetrieve": ["id"],
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1064,7 +1064,7 @@ async fn smaller_dimensions() {
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let (response, code) = index
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.search_post(json!({
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"q": "chien de chasse",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1104,7 +1104,7 @@ async fn smaller_dimensions() {
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let (response, code) = index
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.search_post(json!({
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"q": "petit chien",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1144,7 +1144,7 @@ async fn smaller_dimensions() {
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let (response, code) = index
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.search_post(json!({
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"q": "grand chien de berger des montagnes",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1295,7 +1295,7 @@ async fn small_embedding_model() {
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let (response, code) = index
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.search_post(json!({
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"q": "chien de chasse",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1335,7 +1335,7 @@ async fn small_embedding_model() {
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let (response, code) = index
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.search_post(json!({
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"q": "petit chien",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1375,7 +1375,7 @@ async fn small_embedding_model() {
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let (response, code) = index
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.search_post(json!({
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"q": "grand chien de berger des montagnes",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1525,7 +1525,7 @@ async fn legacy_embedding_model() {
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let (response, code) = index
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.search_post(json!({
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"q": "chien de chasse",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1565,7 +1565,7 @@ async fn legacy_embedding_model() {
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let (response, code) = index
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.search_post(json!({
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"q": "petit chien",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1605,7 +1605,7 @@ async fn legacy_embedding_model() {
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let (response, code) = index
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.search_post(json!({
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"q": "grand chien de berger des montagnes",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1756,7 +1756,7 @@ async fn it_still_works() {
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let (response, code) = index
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.search_post(json!({
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"q": "chien de chasse",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1796,7 +1796,7 @@ async fn it_still_works() {
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let (response, code) = index
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.search_post(json!({
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"q": "petit chien",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -1836,7 +1836,7 @@ async fn it_still_works() {
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let (response, code) = index
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.search_post(json!({
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"q": "grand chien de berger des montagnes",
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"hybrid": {"semanticRatio": 1.0}
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"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
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}))
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.await;
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snapshot!(code, @"200 OK");
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@ -218,7 +218,8 @@ async fn reset_embedder_documents() {
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"###);
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// Make sure the arroy DB has been cleared
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let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
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let (documents, _code) =
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index.search_post(json!({ "vector": [1, 1, 1], "hybrid": {"embedder": "default"} })).await;
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snapshot!(json_string!(documents), @r###"
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{
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"message": "Cannot find embedder with name `default`.",
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