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https://github.com/meilisearch/MeiliSearch
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Add reindexing test
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21296190a3
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@ -1,3 +1,4 @@
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use std::collections::BTreeMap;
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use std::sync::atomic::{AtomicUsize, Ordering};
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use meili_snap::{json_string, snapshot};
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@ -37,6 +38,46 @@ async fn create_mock() -> (MockServer, Value) {
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(mock_server, embedder_settings)
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}
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async fn create_mock_map() -> (MockServer, Value) {
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let mock_server = MockServer::start().await;
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let text_to_embedding: BTreeMap<_, _> = vec![
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// text -> embedding
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("name: kefir\n", [0.0, 0.1, 0.2]),
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]
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// turn into btree
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.into_iter()
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.collect();
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Mock::given(method("POST"))
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.and(path("/"))
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.respond_with(move |req: &Request| {
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let text: String = req.body_json().unwrap();
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match text_to_embedding.get(text.as_str()) {
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Some(embedding) => {
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ResponseTemplate::new(200).set_body_json(json!({ "data": embedding }))
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}
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None => ResponseTemplate::new(404)
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.set_body_json(json!({"error": "text not found", "text": text})),
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}
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})
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.mount(&mock_server)
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.await;
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let url = mock_server.uri();
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let embedder_settings = json!({
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"source": "rest",
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"url": url,
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"dimensions": 3,
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"request": "{{text}}",
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"response": {
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"data": "{{embedding}}"
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}
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});
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(mock_server, embedder_settings)
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}
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#[derive(Debug, Clone, serde::Deserialize, serde::Serialize)]
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struct MultipleRequest {
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input: Vec<String>,
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@ -1896,3 +1937,109 @@ async fn server_custom_header() {
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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 searchable_reindex() {
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let (_mock, setting) = create_mock_map().await;
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let server = get_server_vector().await;
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let index = server.index("doggo");
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let (response, code) = index
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.update_settings(json!({
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"searchableAttributes": ["name", "missing_field"],
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"embedders": {
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"rest": setting,
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},
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}))
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.await;
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snapshot!(code, @"202 Accepted");
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let task = server.wait_task(response.uid()).await;
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snapshot!(task, @r###"
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{
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"uid": "[uid]",
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"indexUid": "doggo",
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"status": "succeeded",
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"type": "settingsUpdate",
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"canceledBy": null,
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"details": {
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"searchableAttributes": [
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"name",
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"missing_field"
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],
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"embedders": {
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"rest": {
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"source": "rest",
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"dimensions": 3,
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"url": "[url]",
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"request": "{{text}}",
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"response": {
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"data": "{{embedding}}"
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}
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}
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}
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},
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"error": null,
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"duration": "[duration]",
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"enqueuedAt": "[date]",
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"startedAt": "[date]",
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"finishedAt": "[date]"
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}
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"###);
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let (response, code) =
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index.add_documents(json!( { "id": 1, "name": "kefir", "breed": "patou" }), None).await;
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snapshot!(code, @"202 Accepted");
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let task = server.wait_task(response.uid()).await;
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snapshot!(task, @r###"
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{
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"uid": "[uid]",
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"indexUid": "doggo",
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"status": "succeeded",
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"type": "documentAdditionOrUpdate",
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"canceledBy": null,
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"details": {
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"receivedDocuments": 1,
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"indexedDocuments": 1
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},
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"error": null,
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"duration": "[duration]",
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"enqueuedAt": "[date]",
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"startedAt": "[date]",
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"finishedAt": "[date]"
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}
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"###);
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// triggers reindexing with the new searchable attribute.
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// as the mock intentionally doesn't know of this text, the task will fail, outputting the putative rendered text.
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let (response, code) = index
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.update_settings(json!({
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"searchableAttributes": ["breed"],
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}))
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.await;
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snapshot!(code, @"202 Accepted");
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let task = server.wait_task(response.uid()).await;
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snapshot!(task, @r###"
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{
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"uid": "[uid]",
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"indexUid": "doggo",
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"status": "failed",
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"type": "settingsUpdate",
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"canceledBy": null,
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"details": {
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"searchableAttributes": [
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"breed"
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]
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},
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"error": {
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"message": "While embedding documents for embedder `rest`: error: received unexpected HTTP 404 from embedding server\n - server replied with `{\"error\":\"text not found\",\"text\":\"breed: patou\\n\"}`",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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},
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"duration": "[duration]",
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"enqueuedAt": "[date]",
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"startedAt": "[date]",
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"finishedAt": "[date]"
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}
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"###);
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}
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