Update tests

This commit is contained in:
Louis Dureuil 2024-09-17 16:30:04 +02:00
parent a35a339c3d
commit 1120a5296c
No known key found for this signature in database
7 changed files with 185 additions and 128 deletions

View file

@ -624,7 +624,8 @@ async fn clear_documents() {
"###);
// Make sure the arroy DB has been cleared
let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
let (documents, _code) =
index.search_post(json!({ "vector": [1, 1, 1], "hybrid": {"embedder": "manual"} })).await;
snapshot!(documents, @r###"
{
"hits": [],
@ -685,7 +686,11 @@ async fn add_remove_one_vector_4588() {
let task = index.wait_task(value.uid()).await;
snapshot!(task, name: "document-deleted");
let (documents, _code) = index.search_post(json!({"vector": [1, 1, 1] })).await;
let (documents, _code) = index
.search_post(
json!({"vector": [1, 1, 1], "hybrid": {"semanticRatio": 1.0, "embedder": "manual"} }),
)
.await;
snapshot!(documents, @r###"
{
"hits": [

View file

@ -449,7 +449,7 @@ async fn it_works() {
let (response, code) = index
.search_post(json!({
"q": "chien de chasse",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"},
}))
.await;
snapshot!(code, @"200 OK");
@ -489,7 +489,7 @@ async fn it_works() {
let (response, code) = index
.search_post(json!({
"q": "petit chien",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -529,7 +529,7 @@ async fn it_works() {
let (response, code) = index
.search_post(json!({
"q": "grand chien de berger des montagnes",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -616,7 +616,7 @@ async fn tokenize_long_text() {
"q": "grand chien de berger des montagnes",
"showRankingScore": true,
"attributesToRetrieve": ["id"],
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1064,7 +1064,7 @@ async fn smaller_dimensions() {
let (response, code) = index
.search_post(json!({
"q": "chien de chasse",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1104,7 +1104,7 @@ async fn smaller_dimensions() {
let (response, code) = index
.search_post(json!({
"q": "petit chien",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1144,7 +1144,7 @@ async fn smaller_dimensions() {
let (response, code) = index
.search_post(json!({
"q": "grand chien de berger des montagnes",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1295,7 +1295,7 @@ async fn small_embedding_model() {
let (response, code) = index
.search_post(json!({
"q": "chien de chasse",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1335,7 +1335,7 @@ async fn small_embedding_model() {
let (response, code) = index
.search_post(json!({
"q": "petit chien",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1375,7 +1375,7 @@ async fn small_embedding_model() {
let (response, code) = index
.search_post(json!({
"q": "grand chien de berger des montagnes",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1525,7 +1525,7 @@ async fn legacy_embedding_model() {
let (response, code) = index
.search_post(json!({
"q": "chien de chasse",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1565,7 +1565,7 @@ async fn legacy_embedding_model() {
let (response, code) = index
.search_post(json!({
"q": "petit chien",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1605,7 +1605,7 @@ async fn legacy_embedding_model() {
let (response, code) = index
.search_post(json!({
"q": "grand chien de berger des montagnes",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1756,7 +1756,7 @@ async fn it_still_works() {
let (response, code) = index
.search_post(json!({
"q": "chien de chasse",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1796,7 +1796,7 @@ async fn it_still_works() {
let (response, code) = index
.search_post(json!({
"q": "petit chien",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");
@ -1836,7 +1836,7 @@ async fn it_still_works() {
let (response, code) = index
.search_post(json!({
"q": "grand chien de berger des montagnes",
"hybrid": {"semanticRatio": 1.0}
"hybrid": {"semanticRatio": 1.0, "embedder": "default"}
}))
.await;
snapshot!(code, @"200 OK");

View file

@ -218,7 +218,8 @@ async fn reset_embedder_documents() {
"###);
// Make sure the arroy DB has been cleared
let (documents, _code) = index.search_post(json!({ "vector": [1, 1, 1] })).await;
let (documents, _code) =
index.search_post(json!({ "vector": [1, 1, 1], "hybrid": {"embedder": "default"} })).await;
snapshot!(json_string!(documents), @r###"
{
"message": "Cannot find embedder with name `default`.",