MeiliSearch/meilisearch/tests/similar/mod.rs

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mod errors;
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use meili_snap::{json_string, snapshot};
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use once_cell::sync::Lazy;
use crate::common::{Server, Value};
use crate::json;
static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
json!([
{
"title": "Shazam!",
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"release_year": 2019,
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"id": "287947",
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// Three semantic properties:
// 1. magic, anything that reminds you of magic
// 2. authority, anything that inspires command
// 3. horror, anything that inspires fear or dread
"_vectors": { "manual": [0.8, 0.4, -0.5]},
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},
{
"title": "Captain Marvel",
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"release_year": 2019,
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"id": "299537",
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"_vectors": { "manual": [0.6, 0.8, -0.2] },
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},
{
"title": "Escape Room",
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"release_year": 2019,
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"id": "522681",
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"_vectors": { "manual": [0.1, 0.6, 0.8] },
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},
{
"title": "How to Train Your Dragon: The Hidden World",
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"release_year": 2019,
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"id": "166428",
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"_vectors": { "manual": [0.7, 0.7, -0.4] },
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},
{
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"title": "All Quiet on the Western Front",
"release_year": 1930,
"id": "143",
"_vectors": { "manual": [-0.5, 0.3, 0.85] },
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}
])
});
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#[actix_rt::test]
async fn basic() {
let server = Server::new().await;
let index = server.index("test");
let (value, code) = server.set_features(json!({"vectorStore": true})).await;
snapshot!(code, @"200 OK");
snapshot!(value, @r###"
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
}
"###);
let (response, code) = index
.update_settings(json!({
"embedders": {
"manual": {
"source": "userProvided",
"dimensions": 3,
}
},
"filterableAttributes": ["title"]}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await;
let documents = DOCUMENTS.clone();
let (value, code) = index.add_documents(documents, None).await;
snapshot!(code, @"202 Accepted");
index.wait_task(value.uid()).await;
index
.similar(json!({"id": 143}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"]), @r###"
[
{
"title": "Escape Room",
"release_year": 2019,
"id": "522681",
"_vectors": {
"manual": [
0.1,
0.6,
0.8
]
}
},
{
"title": "Captain Marvel",
"release_year": 2019,
"id": "299537",
"_vectors": {
"manual": [
0.6,
0.8,
-0.2
]
}
},
{
"title": "How to Train Your Dragon: The Hidden World",
"release_year": 2019,
"id": "166428",
"_vectors": {
"manual": [
0.7,
0.7,
-0.4
]
}
},
{
"title": "Shazam!",
"release_year": 2019,
"id": "287947",
"_vectors": {
"manual": [
0.8,
0.4,
-0.5
]
}
}
]
"###);
})
.await;
index
.similar(json!({"id": "299537"}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"]), @r###"
[
{
"title": "How to Train Your Dragon: The Hidden World",
"release_year": 2019,
"id": "166428",
"_vectors": {
"manual": [
0.7,
0.7,
-0.4
]
}
},
{
"title": "Shazam!",
"release_year": 2019,
"id": "287947",
"_vectors": {
"manual": [
0.8,
0.4,
-0.5
]
}
},
{
"title": "Escape Room",
"release_year": 2019,
"id": "522681",
"_vectors": {
"manual": [
0.1,
0.6,
0.8
]
}
},
{
"title": "All Quiet on the Western Front",
"release_year": 1930,
"id": "143",
"_vectors": {
"manual": [
-0.5,
0.3,
0.85
]
}
}
]
"###);
})
.await;
}
#[actix_rt::test]
async fn filter() {
let server = Server::new().await;
let index = server.index("test");
let (value, code) = server.set_features(json!({"vectorStore": true})).await;
snapshot!(code, @"200 OK");
snapshot!(value, @r###"
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
}
"###);
let (response, code) = index
.update_settings(json!({
"embedders": {
"manual": {
"source": "userProvided",
"dimensions": 3,
}
},
"filterableAttributes": ["title", "release_year"]}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await;
let documents = DOCUMENTS.clone();
let (value, code) = index.add_documents(documents, None).await;
snapshot!(code, @"202 Accepted");
index.wait_task(value.uid()).await;
index
.similar(json!({"id": 522681, "filter": "release_year = 2019"}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"]), @r###"
[
{
"title": "Captain Marvel",
"release_year": 2019,
"id": "299537",
"_vectors": {
"manual": [
0.6,
0.8,
-0.2
]
}
},
{
"title": "How to Train Your Dragon: The Hidden World",
"release_year": 2019,
"id": "166428",
"_vectors": {
"manual": [
0.7,
0.7,
-0.4
]
}
},
{
"title": "Shazam!",
"release_year": 2019,
"id": "287947",
"_vectors": {
"manual": [
0.8,
0.4,
-0.5
]
}
}
]
"###);
})
.await;
index
.similar(json!({"id": 522681, "filter": "release_year < 2000"}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"]), @r###"
[
{
"title": "All Quiet on the Western Front",
"release_year": 1930,
"id": "143",
"_vectors": {
"manual": [
-0.5,
0.3,
0.85
]
}
}
]
"###);
})
.await;
}
#[actix_rt::test]
async fn limit_and_offset() {
let server = Server::new().await;
let index = server.index("test");
let (value, code) = server.set_features(json!({"vectorStore": true})).await;
snapshot!(code, @"200 OK");
snapshot!(value, @r###"
{
"vectorStore": true,
"metrics": false,
"logsRoute": false
}
"###);
let (response, code) = index
.update_settings(json!({
"embedders": {
"manual": {
"source": "userProvided",
"dimensions": 3,
}
},
"filterableAttributes": ["title"]}))
.await;
snapshot!(code, @"202 Accepted");
server.wait_task(response.uid()).await;
let documents = DOCUMENTS.clone();
let (value, code) = index.add_documents(documents, None).await;
snapshot!(code, @"202 Accepted");
index.wait_task(value.uid()).await;
index
.similar(json!({"id": 143, "limit": 1}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"]), @r###"
[
{
"title": "Escape Room",
"release_year": 2019,
"id": "522681",
"_vectors": {
"manual": [
0.1,
0.6,
0.8
]
}
}
]
"###);
})
.await;
index
.similar(json!({"id": 143, "limit": 1, "offset": 1}), |response, code| {
snapshot!(code, @"200 OK");
snapshot!(json_string!(response["hits"]), @r###"
[
{
"title": "Captain Marvel",
"release_year": 2019,
"id": "299537",
"_vectors": {
"manual": [
0.6,
0.8,
-0.2
]
}
}
]
"###);
})
.await;
}