snowykami/meilisearch
1
0
Fork 0
mirror of https://github.com/meilisearch/meilisearch.git synced 2025-09-06 04:36:32 +00:00
Code Issues Packages Projects Releases Wiki Activity

Add new tests

Browse Source
This commit is contained in:
Louis Dureuil
2025-09-03 13:42:56 +02:00
parent 687260bc13
commit 34eba61c0d
2 changed files with 193 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

5
crates/meilisearch/tests/settings/get_settings.rs
View File

@ -194,6 +194,11 @@ test_setting_routes!(
"searchParameters": {}
}
},
{
setting: vector_store,
update_verb: patch,
default_value: "stable"
},
);
#[actix_rt::test]

188
crates/meilisearch/tests/vector/binary_quantized.rs
View File

@ -335,3 +335,191 @@ async fn binary_quantize_clear_documents() {
}
"#);
}
#[actix_rt::test]
async fn binary_quantize_change_backend() {
let server = Server::new().await;
let index = server.unique_index();
server.set_features(json!({"vectorStoreSetting": true})).await;
let (response, code) = index
.update_settings(json!({
"vectorStore": "stable"
}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await.succeeded();
let (response, code) = index
.update_settings(json!({
"embedders": {
"manual": {
"source": "userProvided",
"dimensions": 3,
"binaryQuantized": true,
}
},
}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await.succeeded();
let documents = json!([
{"id": 0, "name": "kefir", "_vectors": { "manual": [-1.2, -2.3, 3.2] }},
{"id": 1, "name": "echo", "_vectors": { "manual": [2.5, 1.5, -130] }},
]);
let (value, code) = index.add_documents(documents, None).await;
snapshot!(code, @"202 Accepted");
server.wait_task(value.uid()).await.succeeded();
// Make sure the documents are binary quantized
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"id": 0,
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
-1.0,
-1.0,
1.0
]
],
"regenerate": false
}
}
},
{
"id": 1,
"name": "echo",
"_vectors": {
"manual": {
"embeddings": [
[
1.0,
1.0,
-1.0
]
],
"regenerate": false
}
}
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
let (response, code) = index
.update_settings(json!({
"vectorStore": "experimental"
}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await.succeeded();
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"id": 0,
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
0.0,
0.0,
1.0
]
],
"regenerate": false
}
}
},
{
"id": 1,
"name": "echo",
"_vectors": {
"manual": {
"embeddings": [
[
1.0,
1.0,
0.0
]
],
"regenerate": false
}
}
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
let (response, code) = index
.update_settings(json!({
"vectorStore": "stable"
}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await.succeeded();
let (documents, _code) = index
.get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
.await;
snapshot!(json_string!(documents), @r###"
{
"results": [
{
"id": 0,
"name": "kefir",
"_vectors": {
"manual": {
"embeddings": [
[
-1.0,
-1.0,
1.0
]
],
"regenerate": false
}
}
},
{
"id": 1,
"name": "echo",
"_vectors": {
"manual": {
"embeddings": [
[
1.0,
1.0,
-1.0
]
],
"regenerate": false
}
}
}
],
"offset": 0,
"limit": 20,
"total": 2
}
"###);
}