mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-27 07:14:26 +01:00
732 lines
23 KiB
Rust
732 lines
23 KiB
Rust
mod errors;
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use meili_snap::{json_string, snapshot};
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use once_cell::sync::Lazy;
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use crate::common::{Server, Value};
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use crate::json;
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static DOCUMENTS: Lazy<Value> = Lazy::new(|| {
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json!([
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{
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"title": "Shazam!",
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"release_year": 2019,
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"id": "287947",
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// Three semantic properties:
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// 1. magic, anything that reminds you of magic
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// 2. authority, anything that inspires command
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// 3. horror, anything that inspires fear or dread
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"_vectors": { "manual": [0.8, 0.4, -0.5]},
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},
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{
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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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},
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{
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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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},
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{
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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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{
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"title": "All Quiet on the Western Front",
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"release_year": 1930,
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"id": "143",
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"_vectors": { "manual": [-0.5, 0.3, 0.85] },
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}
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])
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});
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#[actix_rt::test]
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async fn basic() {
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let server = Server::new().await;
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let index = server.index("test");
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let (value, code) = server.set_features(json!({"vectorStore": true})).await;
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snapshot!(code, @"200 OK");
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snapshot!(value, @r###"
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{
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"vectorStore": true,
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"metrics": false,
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"logsRoute": false
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}
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"###);
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let (response, code) = index
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.update_settings(json!({
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"embedders": {
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"manual": {
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"source": "userProvided",
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"dimensions": 3,
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}
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},
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"filterableAttributes": ["title"]}))
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.await;
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snapshot!(code, @"202 Accepted");
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server.wait_task(response.uid()).await;
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let documents = DOCUMENTS.clone();
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let (value, code) = index.add_documents(documents, None).await;
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snapshot!(code, @"202 Accepted");
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index.wait_task(value.uid()).await;
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index
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.similar(json!({"id": 143, "retrieveVectors": true}), |response, code| {
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snapshot!(code, @"200 OK");
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snapshot!(json_string!(response["hits"]), @r###"
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[
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.10000000149011612,
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0.6000000238418579,
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0.800000011920929
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]
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],
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"regenerate": false
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}
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}
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},
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.6000000238418579,
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0.800000011920929,
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-0.20000000298023224
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]
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],
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"regenerate": false
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}
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}
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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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"release_year": 2019,
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"id": "166428",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.699999988079071,
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0.699999988079071,
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-0.4000000059604645
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]
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],
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"regenerate": false
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}
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}
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},
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{
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"title": "Shazam!",
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"release_year": 2019,
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"id": "287947",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.800000011920929,
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0.4000000059604645,
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-0.5
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]
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],
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"regenerate": false
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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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index
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.similar(json!({"id": "299537", "retrieveVectors": true}), |response, code| {
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snapshot!(code, @"200 OK");
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snapshot!(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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"release_year": 2019,
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"id": "166428",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.699999988079071,
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0.699999988079071,
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-0.4000000059604645
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]
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],
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"regenerate": false
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}
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}
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},
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{
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"title": "Shazam!",
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"release_year": 2019,
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"id": "287947",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.800000011920929,
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0.4000000059604645,
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-0.5
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]
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],
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"regenerate": false
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}
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}
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},
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.10000000149011612,
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0.6000000238418579,
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0.800000011920929
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]
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],
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"regenerate": false
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}
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}
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},
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{
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"title": "All Quiet on the Western Front",
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"release_year": 1930,
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"id": "143",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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-0.5,
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0.30000001192092896,
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0.8500000238418579
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]
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],
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"regenerate": false
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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 ranking_score_threshold() {
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let server = Server::new().await;
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let index = server.index("test");
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let (value, code) = server.set_features(json!({"vectorStore": true})).await;
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snapshot!(code, @"200 OK");
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snapshot!(value, @r###"
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{
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"vectorStore": true,
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"metrics": false,
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"logsRoute": false
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}
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"###);
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let (response, code) = index
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.update_settings(json!({
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"embedders": {
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"manual": {
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"source": "userProvided",
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"dimensions": 3,
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}
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},
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"filterableAttributes": ["title"]}))
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.await;
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snapshot!(code, @"202 Accepted");
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server.wait_task(response.uid()).await;
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let documents = DOCUMENTS.clone();
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let (value, code) = index.add_documents(documents, None).await;
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snapshot!(code, @"202 Accepted");
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index.wait_task(value.uid()).await;
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index
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.similar(
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json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0, "retrieveVectors": true}),
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|response, code| {
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snapshot!(code, @"200 OK");
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meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"4");
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snapshot!(json_string!(response["hits"]), @r###"
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[
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.10000000149011612,
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0.6000000238418579,
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0.800000011920929
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.890957772731781
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},
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.6000000238418579,
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0.800000011920929,
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-0.20000000298023224
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.39060014486312866
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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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"release_year": 2019,
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"id": "166428",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.699999988079071,
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0.699999988079071,
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-0.4000000059604645
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.2819308042526245
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},
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{
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"title": "Shazam!",
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"release_year": 2019,
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"id": "287947",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.800000011920929,
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0.4000000059604645,
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-0.5
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.1662663221359253
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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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index
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.similar(
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json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.2, "retrieveVectors": true}),
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|response, code| {
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snapshot!(code, @"200 OK");
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meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"3");
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snapshot!(json_string!(response["hits"]), @r###"
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[
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.10000000149011612,
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0.6000000238418579,
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0.800000011920929
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.890957772731781
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},
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.6000000238418579,
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0.800000011920929,
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-0.20000000298023224
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.39060014486312866
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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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"release_year": 2019,
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"id": "166428",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.699999988079071,
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0.699999988079071,
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-0.4000000059604645
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.2819308042526245
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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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index
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.similar(
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json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.3, "retrieveVectors": true}),
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|response, code| {
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snapshot!(code, @"200 OK");
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meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"2");
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snapshot!(json_string!(response["hits"]), @r###"
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[
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.10000000149011612,
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0.6000000238418579,
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0.800000011920929
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.890957772731781
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},
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.6000000238418579,
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0.800000011920929,
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-0.20000000298023224
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.39060014486312866
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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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index
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.similar(
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json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.6, "retrieveVectors": true}),
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|response, code| {
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snapshot!(code, @"200 OK");
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meili_snap::snapshot!(meili_snap::json_string!(response["estimatedTotalHits"]), @"1");
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snapshot!(json_string!(response["hits"]), @r###"
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[
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.10000000149011612,
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0.6000000238418579,
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0.800000011920929
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]
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],
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"regenerate": false
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}
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},
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"_rankingScore": 0.890957772731781
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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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index
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.similar(
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json!({"id": 143, "showRankingScore": true, "rankingScoreThreshold": 0.9, "retrieveVectors": true}),
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|response, code| {
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snapshot!(code, @"200 OK");
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snapshot!(json_string!(response["hits"]), @"[]");
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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 filter() {
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let server = Server::new().await;
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let index = server.index("test");
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let (value, code) = server.set_features(json!({"vectorStore": true})).await;
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snapshot!(code, @"200 OK");
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snapshot!(value, @r###"
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{
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"vectorStore": true,
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"metrics": false,
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"logsRoute": false
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}
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"###);
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|
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let (response, code) = index
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.update_settings(json!({
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"embedders": {
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"manual": {
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"source": "userProvided",
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"dimensions": 3,
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}
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},
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"filterableAttributes": ["title", "release_year"]}))
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.await;
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snapshot!(code, @"202 Accepted");
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server.wait_task(response.uid()).await;
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let documents = DOCUMENTS.clone();
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let (value, code) = index.add_documents(documents, None).await;
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snapshot!(code, @"202 Accepted");
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index.wait_task(value.uid()).await;
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|
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index
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.similar(
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json!({"id": 522681, "filter": "release_year = 2019", "retrieveVectors": true}),
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|response, code| {
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snapshot!(code, @"200 OK");
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snapshot!(json_string!(response["hits"]), @r###"
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[
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{
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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": {
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"manual": {
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"embeddings": [
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[
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0.6000000238418579,
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0.800000011920929,
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-0.20000000298023224
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]
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],
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"regenerate": false
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}
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}
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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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"release_year": 2019,
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"id": "166428",
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"_vectors": {
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"manual": {
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"embeddings": [
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[
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0.699999988079071,
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0.699999988079071,
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-0.4000000059604645
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]
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],
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"regenerate": false
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}
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}
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},
|
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{
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"title": "Shazam!",
|
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"release_year": 2019,
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"id": "287947",
|
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"_vectors": {
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"manual": {
|
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"embeddings": [
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[
|
|
0.800000011920929,
|
|
0.4000000059604645,
|
|
-0.5
|
|
]
|
|
],
|
|
"regenerate": false
|
|
}
|
|
}
|
|
}
|
|
]
|
|
"###);
|
|
},
|
|
)
|
|
.await;
|
|
|
|
index
|
|
.similar(
|
|
json!({"id": 522681, "filter": "release_year < 2000", "retrieveVectors": true}),
|
|
|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": {
|
|
"embeddings": [
|
|
[
|
|
-0.5,
|
|
0.30000001192092896,
|
|
0.8500000238418579
|
|
]
|
|
],
|
|
"regenerate": false
|
|
}
|
|
}
|
|
}
|
|
]
|
|
"###);
|
|
},
|
|
)
|
|
.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, "retrieveVectors": true}), |response, code| {
|
|
snapshot!(code, @"200 OK");
|
|
snapshot!(json_string!(response["hits"]), @r###"
|
|
[
|
|
{
|
|
"title": "Escape Room",
|
|
"release_year": 2019,
|
|
"id": "522681",
|
|
"_vectors": {
|
|
"manual": {
|
|
"embeddings": [
|
|
[
|
|
0.10000000149011612,
|
|
0.6000000238418579,
|
|
0.800000011920929
|
|
]
|
|
],
|
|
"regenerate": false
|
|
}
|
|
}
|
|
}
|
|
]
|
|
"###);
|
|
})
|
|
.await;
|
|
|
|
index
|
|
.similar(
|
|
json!({"id": 143, "limit": 1, "offset": 1, "retrieveVectors": true}),
|
|
|response, code| {
|
|
snapshot!(code, @"200 OK");
|
|
snapshot!(json_string!(response["hits"]), @r###"
|
|
[
|
|
{
|
|
"title": "Captain Marvel",
|
|
"release_year": 2019,
|
|
"id": "299537",
|
|
"_vectors": {
|
|
"manual": {
|
|
"embeddings": [
|
|
[
|
|
0.6000000238418579,
|
|
0.800000011920929,
|
|
-0.20000000298023224
|
|
]
|
|
],
|
|
"regenerate": false
|
|
}
|
|
}
|
|
}
|
|
]
|
|
"###);
|
|
},
|
|
)
|
|
.await;
|
|
}
|