mirror of
https://github.com/meilisearch/MeiliSearch
synced 2025-07-03 03:47:02 +02:00
fix tests
# Conflicts: # crates/index-scheduler/src/batch.rs # crates/index-scheduler/src/snapshots/lib.rs/fail_in_process_batch_for_document_deletion/after_removing_the_documents.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_bad_primary_key/fifth_task_succeeds.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_bad_primary_key/fourth_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_multiple_primary_key/second_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_multiple_primary_key/third_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_multiple_primary_key_batch_wrong_key/second_and_third_tasks_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_set_and_null_primary_key_inference_works/all_other_tasks_succeeds.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_set_and_null_primary_key_inference_works/second_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_set_and_null_primary_key_inference_works/third_task_succeeds.snap # Conflicts: # crates/index-scheduler/src/batch.rs # crates/meilisearch/src/search/mod.rs # crates/meilisearch/tests/vector/mod.rs # Conflicts: # crates/index-scheduler/src/batch.rs
This commit is contained in:
airycanon
parent
95ed079761
commit
b75f1f4c17
24 changed files with 378 additions and 281 deletions
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@ -4,10 +4,10 @@ use byte_unit::{Byte, UnitType};
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use meilisearch_types::document_formats::{DocumentFormatError, PayloadType};
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use meilisearch_types::error::{Code, ErrorCode, ResponseError};
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use meilisearch_types::index_uid::{IndexUid, IndexUidFormatError};
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use meilisearch_types::milli;
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use meilisearch_types::milli::OrderBy;
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use serde_json::Value;
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use tokio::task::JoinError;
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use meilisearch_types::milli;
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#[derive(Debug, thiserror::Error)]
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pub enum MeilisearchHttpError {
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@ -67,7 +67,7 @@ pub enum MeilisearchHttpError {
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Some(name) if !name.is_empty() => format!("Index `{}`: {error}", name),
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_ => format!("{error}")
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})]
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Milli { error: meilisearch_types::milli::Error, index_name: Option<String> },
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Milli { error: milli::Error, index_name: Option<String> },
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#[error(transparent)]
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Payload(#[from] PayloadError),
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#[error(transparent)]
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@ -105,7 +105,7 @@ impl ErrorCode for MeilisearchHttpError {
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MeilisearchHttpError::SerdeJson(_) => Code::Internal,
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MeilisearchHttpError::HeedError(_) => Code::Internal,
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MeilisearchHttpError::IndexScheduler(e) => e.error_code(),
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MeilisearchHttpError::Milli{error, ..} => error.error_code(),
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MeilisearchHttpError::Milli { error, .. } => error.error_code(),
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MeilisearchHttpError::Payload(e) => e.error_code(),
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MeilisearchHttpError::FileStore(_) => Code::Internal,
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MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
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@ -185,7 +185,8 @@ pub async fn search(
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let index = index_scheduler.index(&index_uid)?;
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let features = index_scheduler.features();
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let search_kind = search_kind(&search_query, &index_scheduler, index_uid.to_string(), &index, features)?;
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let search_kind =
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search_kind(&search_query, &index_scheduler, index_uid.to_string(), &index, features)?;
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let permit = search_queue.try_get_search_permit().await?;
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let search_result = tokio::task::spawn_blocking(move || {
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perform_facet_search(
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@ -107,7 +107,10 @@ pub async fn list_indexes(
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if !filters.is_index_authorized(uid) {
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return Ok(None);
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}
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Ok(Some(IndexView::new(uid.to_string(), index).map_err(|e| Error::from_milli(e, Some(uid.to_string())))?))
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Ok(Some(
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IndexView::new(uid.to_string(), index)
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.map_err(|e| Error::from_milli(e, Some(uid.to_string())))?,
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))
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})?;
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// Won't cause to open all indexes because IndexView doesn't keep the `Index` opened.
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let indexes: Vec<IndexView> = indexes.into_iter().flatten().collect();
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@ -243,11 +243,19 @@ pub async fn search_with_url_query(
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let index = index_scheduler.index(&index_uid)?;
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let features = index_scheduler.features();
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let search_kind = search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index, features)?;
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let search_kind =
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search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index, features)?;
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let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors, features)?;
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let permit = search_queue.try_get_search_permit().await?;
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let search_result = tokio::task::spawn_blocking(move || {
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perform_search(index_uid.to_string(), &index, query, search_kind, retrieve_vector, index_scheduler.features())
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perform_search(
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index_uid.to_string(),
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&index,
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query,
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search_kind,
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retrieve_vector,
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index_scheduler.features(),
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)
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})
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.await;
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permit.drop().await;
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@ -287,12 +295,20 @@ pub async fn search_with_post(
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let features = index_scheduler.features();
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let search_kind = search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index, features)?;
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let search_kind =
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search_kind(&query, index_scheduler.get_ref(), index_uid.to_string(), &index, features)?;
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let retrieve_vectors = RetrieveVectors::new(query.retrieve_vectors, features)?;
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let permit = search_queue.try_get_search_permit().await?;
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let search_result = tokio::task::spawn_blocking(move || {
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perform_search(index_uid.to_string(), &index, query, search_kind, retrieve_vectors, index_scheduler.features())
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perform_search(
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index_uid.to_string(),
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&index,
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query,
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search_kind,
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retrieve_vectors,
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index_scheduler.features(),
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)
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})
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.await;
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permit.drop().await;
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@ -103,8 +103,13 @@ async fn similar(
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let index = index_scheduler.index(&index_uid)?;
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let (embedder_name, embedder, quantized) =
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SearchKind::embedder(&index_scheduler, index_uid.to_string(), &index, &query.embedder, None)?;
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let (embedder_name, embedder, quantized) = SearchKind::embedder(
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&index_scheduler,
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index_uid.to_string(),
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&index,
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&query.embedder,
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None,
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)?;
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tokio::task::spawn_blocking(move || {
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perform_similar(
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@ -127,14 +127,26 @@ pub async fn multi_search_with_post(
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let index_uid_str = index_uid.to_string();
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let search_kind =
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search_kind(&query, index_scheduler.get_ref(), index_uid_str.clone(), &index, features)
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.with_index(query_index)?;
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let search_kind = search_kind(
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&query,
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index_scheduler.get_ref(),
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index_uid_str.clone(),
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&index,
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features,
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)
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.with_index(query_index)?;
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let retrieve_vector = RetrieveVectors::new(query.retrieve_vectors, features)
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.with_index(query_index)?;
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let search_result = tokio::task::spawn_blocking(move || {
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perform_search(index_uid_str.clone(), &index, query, search_kind, retrieve_vector, features)
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perform_search(
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index_uid_str.clone(),
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&index,
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query,
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search_kind,
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retrieve_vector,
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features,
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)
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})
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.await
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.with_index(query_index)?;
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@ -560,7 +560,8 @@ pub fn perform_federated_search(
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// use an immediately invoked lambda to capture the result without returning from the function
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let res: Result<(), ResponseError> = (|| {
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let search_kind = search_kind(&query, index_scheduler, index_uid.to_string(), &index, features)?;
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let search_kind =
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search_kind(&query, index_scheduler, index_uid.to_string(), &index, features)?;
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let canonicalization_kind = match (&search_kind, &query.q) {
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(SearchKind::SemanticOnly { .. }, _) => {
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@ -636,7 +637,8 @@ pub fn perform_federated_search(
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search.offset(0);
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search.limit(required_hit_count);
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let (result, _semantic_hit_count) = super::search_from_kind(index_uid.to_string(), search_kind, search)?;
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let (result, _semantic_hit_count) =
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super::search_from_kind(index_uid.to_string(), search_kind, search)?;
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let format = AttributesFormat {
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attributes_to_retrieve: query.attributes_to_retrieve,
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retrieve_vectors,
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@ -670,8 +672,10 @@ pub fn perform_federated_search(
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let formatter_builder = HitMaker::formatter_builder(matching_words, tokenizer);
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let hit_maker = HitMaker::new(&index, &rtxn, format, formatter_builder)
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.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid.to_string())))?;
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let hit_maker =
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HitMaker::new(&index, &rtxn, format, formatter_builder).map_err(|e| {
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MeilisearchHttpError::from_milli(e, Some(index_uid.to_string()))
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})?;
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results_by_query.push(SearchResultByQuery {
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federation_options,
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@ -19,7 +19,9 @@ use meilisearch_types::locales::Locale;
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use meilisearch_types::milli::score_details::{ScoreDetails, ScoringStrategy};
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use meilisearch_types::milli::vector::parsed_vectors::ExplicitVectors;
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use meilisearch_types::milli::vector::Embedder;
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use meilisearch_types::milli::{FacetValueHit, OrderBy, SearchForFacetValues, TimeBudget};
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use meilisearch_types::milli::{
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FacetValueHit, InternalError, OrderBy, SearchForFacetValues, TimeBudget,
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};
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use meilisearch_types::settings::DEFAULT_PAGINATION_MAX_TOTAL_HITS;
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use meilisearch_types::{milli, Document};
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use milli::tokenizer::{Language, TokenizerBuilder};
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@ -281,35 +283,38 @@ pub enum SearchKind {
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impl SearchKind {
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pub(crate) fn semantic(
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index_scheduler: &index_scheduler::IndexScheduler,
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index_uid: String,
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index: &Index,
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embedder_name: &str,
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vector_len: Option<usize>,
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) -> Result<Self, ResponseError> {
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let (embedder_name, embedder, quantized) =
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Self::embedder(index_scheduler, index, embedder_name, vector_len)?;
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Self::embedder(index_scheduler, index_uid, index, embedder_name, vector_len)?;
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Ok(Self::SemanticOnly { embedder_name, embedder, quantized })
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}
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pub(crate) fn hybrid(
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index_scheduler: &index_scheduler::IndexScheduler,
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index_uid: String,
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index: &Index,
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embedder_name: &str,
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semantic_ratio: f32,
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vector_len: Option<usize>,
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) -> Result<Self, ResponseError> {
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let (embedder_name, embedder, quantized) =
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Self::embedder(index_scheduler, index, embedder_name, vector_len)?;
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Self::embedder(index_scheduler, index_uid, index, embedder_name, vector_len)?;
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Ok(Self::Hybrid { embedder_name, embedder, quantized, semantic_ratio })
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}
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pub(crate) fn embedder(
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index_scheduler: &index_scheduler::IndexScheduler,
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index_uid: String,
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index: &Index,
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embedder_name: &str,
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vector_len: Option<usize>,
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) -> Result<(String, Arc<Embedder>, bool), ResponseError> {
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let embedder_configs = index.embedding_configs(&index.read_txn()?)?;
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let embedders = index_scheduler.embedders(embedder_configs)?;
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let embedders = index_scheduler.embedders(index_uid, embedder_configs)?;
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let (embedder, _, quantized) = embedders
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.get(embedder_name)
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@ -890,6 +895,7 @@ fn prepare_search<'t>(
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}
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pub fn perform_search(
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index_uid: String,
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index: &Index,
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query: SearchQuery,
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search_kind: SearchKind,
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@ -916,7 +922,7 @@ pub fn perform_search(
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used_negative_operator,
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},
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semantic_hit_count,
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) = search_from_kind(search_kind, search)?;
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) = search_from_kind(index_uid, search_kind, search)?;
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let SearchQuery {
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q,
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@ -1069,17 +1075,27 @@ fn compute_facet_distribution_stats<S: AsRef<str>>(
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}
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pub fn search_from_kind(
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index_uid: String,
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search_kind: SearchKind,
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search: milli::Search<'_>,
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) -> Result<(milli::SearchResult, Option<u32>), MeilisearchHttpError> {
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let (milli_result, semantic_hit_count) = match &search_kind {
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SearchKind::KeywordOnly => (search.execute()?, None),
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SearchKind::KeywordOnly => {
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let results = search
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.execute()
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.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid.to_string())))?;
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(results, None)
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}
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SearchKind::SemanticOnly { .. } => {
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let results = search.execute()?;
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let results = search
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.execute()
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.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid.to_string())))?;
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let semantic_hit_count = results.document_scores.len() as u32;
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(results, Some(semantic_hit_count))
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}
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SearchKind::Hybrid { semantic_ratio, .. } => search.execute_hybrid(*semantic_ratio)?,
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SearchKind::Hybrid { semantic_ratio, .. } => search
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.execute_hybrid(*semantic_ratio)
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.map_err(|e| MeilisearchHttpError::from_milli(e, Some(index_uid)))?,
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};
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Ok((milli_result, semantic_hit_count))
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}
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@ -1181,7 +1197,7 @@ impl<'a> HitMaker<'a> {
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rtxn: &'a RoTxn<'a>,
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format: AttributesFormat,
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mut formatter_builder: MatcherBuilder<'a>,
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) -> Result<Self, MeilisearchHttpError> {
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) -> milli::Result<Self> {
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formatter_builder.crop_marker(format.crop_marker);
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formatter_builder.highlight_prefix(format.highlight_pre_tag);
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formatter_builder.highlight_suffix(format.highlight_post_tag);
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@ -1276,11 +1292,7 @@ impl<'a> HitMaker<'a> {
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})
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}
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pub fn make_hit(
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&self,
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id: u32,
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score: &[ScoreDetails],
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) -> Result<SearchHit, MeilisearchHttpError> {
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pub fn make_hit(&self, id: u32, score: &[ScoreDetails]) -> milli::Result<SearchHit> {
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let (_, obkv) =
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self.index.iter_documents(self.rtxn, std::iter::once(id))?.next().unwrap()?;
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@ -1323,7 +1335,10 @@ impl<'a> HitMaker<'a> {
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.is_some_and(|conf| conf.user_provided.contains(id));
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let embeddings =
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ExplicitVectors { embeddings: Some(vector.into()), regenerate: !user_provided };
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vectors.insert(name, serde_json::to_value(embeddings)?);
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vectors.insert(
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name,
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serde_json::to_value(embeddings).map_err(InternalError::SerdeJson)?,
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);
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}
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document.insert("_vectors".into(), vectors.into());
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}
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@ -1369,7 +1384,7 @@ fn make_hits<'a>(
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format: AttributesFormat,
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matching_words: milli::MatchingWords,
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documents_ids_scores: impl Iterator<Item = (u32, &'a Vec<ScoreDetails>)> + 'a,
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) -> Result<Vec<SearchHit>, MeilisearchHttpError> {
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) -> milli::Result<Vec<SearchHit>> {
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let mut documents = Vec::new();
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let dictionary = index.dictionary(rtxn)?;
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@ -1697,12 +1712,12 @@ fn make_document(
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displayed_attributes: &BTreeSet<FieldId>,
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field_ids_map: &FieldsIdsMap,
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obkv: &obkv::KvReaderU16,
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) -> Result<Document, MeilisearchHttpError> {
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) -> milli::Result<Document> {
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let mut document = serde_json::Map::new();
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// recreate the original json
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for (key, value) in obkv.iter() {
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let value = serde_json::from_slice(value)?;
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let value = serde_json::from_slice(value).map_err(InternalError::SerdeJson)?;
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let key = field_ids_map.name(key).expect("Missing field name").to_string();
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document.insert(key, value);
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@ -1727,7 +1742,7 @@ fn format_fields(
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displayable_ids: &BTreeSet<FieldId>,
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locales: Option<&[Language]>,
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localized_attributes: &[LocalizedAttributesRule],
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) -> Result<(Option<MatchesPosition>, Document), MeilisearchHttpError> {
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) -> milli::Result<(Option<MatchesPosition>, Document)> {
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let mut matches_position = compute_matches.then(BTreeMap::new);
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let mut document = document.clone();
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@ -1905,7 +1920,7 @@ fn parse_filter_array(arr: &[Value]) -> Result<Option<Filter>, MeilisearchHttpEr
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}
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}
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Ok(Filter::from_array(ands)?)
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Filter::from_array(ands).map_err(|e| MeilisearchHttpError::from_milli(e, None))
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}
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#[cfg(test)]
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|
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@ -1681,7 +1681,7 @@ async fn add_documents_invalid_geo_field() {
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"indexedDocuments": 0
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},
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"error": {
|
||||
"message": "The `_geo` field in the document with the id: `\"11\"` is not an object. Was expecting an object with the `_geo.lat` and `_geo.lng` fields but instead got `\"foobar\"`.",
|
||||
"message": "Index `test`: The `_geo` field in the document with the id: `\"11\"` is not an object. Was expecting an object with the `_geo.lat` and `_geo.lng` fields but instead got `\"foobar\"`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1719,7 +1719,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find latitude nor longitude in the document with the id: `\"11\"`. Was expecting `_geo.lat` and `_geo.lng` fields.",
|
||||
"message": "Index `test`: Could not find latitude nor longitude in the document with the id: `\"11\"`. Was expecting `_geo.lat` and `_geo.lng` fields.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1757,7 +1757,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find latitude nor longitude in the document with the id: `\"11\"`. Was expecting `_geo.lat` and `_geo.lng` fields.",
|
||||
"message": "Index `test`: Could not find latitude nor longitude in the document with the id: `\"11\"`. Was expecting `_geo.lat` and `_geo.lng` fields.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1795,7 +1795,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find longitude in the document with the id: `\"11\"`. Was expecting a `_geo.lng` field.",
|
||||
"message": "Index `test`: Could not find longitude in the document with the id: `\"11\"`. Was expecting a `_geo.lng` field.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1833,7 +1833,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find latitude in the document with the id: `\"11\"`. Was expecting a `_geo.lat` field.",
|
||||
"message": "Index `test`: Could not find latitude in the document with the id: `\"11\"`. Was expecting a `_geo.lat` field.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1871,7 +1871,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find longitude in the document with the id: `\"11\"`. Was expecting a `_geo.lng` field.",
|
||||
"message": "Index `test`: Could not find longitude in the document with the id: `\"11\"`. Was expecting a `_geo.lng` field.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1909,7 +1909,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find latitude in the document with the id: `\"11\"`. Was expecting a `_geo.lat` field.",
|
||||
"message": "Index `test`: Could not find latitude in the document with the id: `\"11\"`. Was expecting a `_geo.lat` field.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1947,7 +1947,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not parse latitude nor longitude in the document with the id: `\"11\"`. Was expecting finite numbers but instead got `false` and `true`.",
|
||||
"message": "Index `test`: Could not parse latitude nor longitude in the document with the id: `\"11\"`. Was expecting finite numbers but instead got `false` and `true`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -1985,7 +1985,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find longitude in the document with the id: `\"11\"`. Was expecting a `_geo.lng` field.",
|
||||
"message": "Index `test`: Could not find longitude in the document with the id: `\"11\"`. Was expecting a `_geo.lng` field.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2023,7 +2023,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not find latitude in the document with the id: `\"11\"`. Was expecting a `_geo.lat` field.",
|
||||
"message": "Index `test`: Could not find latitude in the document with the id: `\"11\"`. Was expecting a `_geo.lat` field.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2061,7 +2061,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not parse latitude nor longitude in the document with the id: `\"11\"`. Was expecting finite numbers but instead got `\"doggo\"` and `\"doggo\"`.",
|
||||
"message": "Index `test`: Could not parse latitude nor longitude in the document with the id: `\"11\"`. Was expecting finite numbers but instead got `\"doggo\"` and `\"doggo\"`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2099,7 +2099,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "The `_geo` field in the document with the id: `\"11\"` contains the following unexpected fields: `{\"doggo\":\"are the best\"}`.",
|
||||
"message": "Index `test`: The `_geo` field in the document with the id: `\"11\"` contains the following unexpected fields: `{\"doggo\":\"are the best\"}`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2138,7 +2138,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not parse longitude in the document with the id: `\"12\"`. Was expecting a finite number but instead got `null`.",
|
||||
"message": "Index `test`: Could not parse longitude in the document with the id: `\"12\"`. Was expecting a finite number but instead got `null`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2175,7 +2175,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not parse latitude in the document with the id: `\"12\"`. Was expecting a finite number but instead got `null`.",
|
||||
"message": "Index `test`: Could not parse latitude in the document with the id: `\"12\"`. Was expecting a finite number but instead got `null`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2212,7 +2212,7 @@ async fn add_documents_invalid_geo_field() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not parse latitude nor longitude in the document with the id: `\"13\"`. Was expecting finite numbers but instead got `null` and `null`.",
|
||||
"message": "Index `test`: Could not parse latitude nor longitude in the document with the id: `\"13\"`. Was expecting finite numbers but instead got `null` and `null`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
@ -2279,7 +2279,7 @@ async fn add_invalid_geo_and_then_settings() {
|
|||
]
|
||||
},
|
||||
"error": {
|
||||
"message": "Could not parse latitude in the document with the id: `\"11\"`. Was expecting a finite number but instead got `null`.",
|
||||
"message": "Index `test`: Could not parse latitude in the document with the id: `\"11\"`. Was expecting a finite number but instead got `null`.",
|
||||
"code": "invalid_document_geo_field",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_geo_field"
|
||||
|
|
|
|||
|
|
@ -604,7 +604,7 @@ async fn delete_document_by_filter() {
|
|||
"originalFilter": "\"doggo = bernese\""
|
||||
},
|
||||
"error": {
|
||||
"message": "Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
|
||||
"message": "Index `EMPTY_INDEX`: Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
|
|
@ -636,7 +636,7 @@ async fn delete_document_by_filter() {
|
|||
"originalFilter": "\"catto = jorts\""
|
||||
},
|
||||
"error": {
|
||||
"message": "Attribute `catto` is not filterable. Available filterable attributes are: `id`, `title`.\n1:6 catto = jorts",
|
||||
"message": "Index `SHARED_DOCUMENTS`: Attribute `catto` is not filterable. Available filterable attributes are: `id`, `title`.\n1:6 catto = jorts",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
|
|
|
|||
|
|
@ -95,7 +95,7 @@ async fn error_update_existing_primary_key() {
|
|||
let response = index.wait_task(2).await;
|
||||
|
||||
let expected_response = json!({
|
||||
"message": "Index already has a primary key: `id`.",
|
||||
"message": "Index `test`: Index already has a primary key: `id`.",
|
||||
"code": "index_primary_key_already_exists",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#index_primary_key_already_exists"
|
||||
|
|
|
|||
|
|
@ -711,7 +711,7 @@ async fn filter_invalid_attribute_array() {
|
|||
index.wait_task(task.uid()).await;
|
||||
|
||||
let expected_response = json!({
|
||||
"message": "Attribute `many` is not filterable. Available filterable attributes are: `title`.\n1:5 many = Glass",
|
||||
"message": format!("Index `{}`: Attribute `many` is not filterable. Available filterable attributes are: `title`.\n1:5 many = Glass", index.uid),
|
||||
"code": "invalid_search_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
|
|
@ -733,7 +733,7 @@ async fn filter_invalid_attribute_string() {
|
|||
index.wait_task(task.uid()).await;
|
||||
|
||||
let expected_response = json!({
|
||||
"message": "Attribute `many` is not filterable. Available filterable attributes are: `title`.\n1:5 many = Glass",
|
||||
"message": format!("Index `{}`: Attribute `many` is not filterable. Available filterable attributes are: `title`.\n1:5 many = Glass", index.uid),
|
||||
"code": "invalid_search_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
|
|
@ -940,7 +940,7 @@ async fn sort_unsortable_attribute() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let expected_response = json!({
|
||||
"message": "Attribute `title` is not sortable. Available sortable attributes are: `id`.",
|
||||
"message": format!("Index `{}`: Attribute `title` is not sortable. Available sortable attributes are: `id`.", index.uid),
|
||||
"code": "invalid_search_sort",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_sort"
|
||||
|
|
@ -998,7 +998,7 @@ async fn sort_unset_ranking_rule() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let expected_response = json!({
|
||||
"message": "You must specify where `sort` is listed in the rankingRules setting to use the sort parameter at search time.",
|
||||
"message": format!("Index `{}`: You must specify where `sort` is listed in the rankingRules setting to use the sort parameter at search time.", index.uid),
|
||||
"code": "invalid_search_sort",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_sort"
|
||||
|
|
@ -1024,19 +1024,18 @@ async fn search_on_unknown_field() {
|
|||
index.update_settings_searchable_attributes(json!(["id", "title"])).await;
|
||||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let expected_response = json!({
|
||||
"message": format!("Index `{}`: Attribute `unknown` is not searchable. Available searchable attributes are: `id, title`.", index.uid),
|
||||
"code": "invalid_search_attributes_to_search_on",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_attributes_to_search_on"
|
||||
});
|
||||
index
|
||||
.search(
|
||||
json!({"q": "Captain Marvel", "attributesToSearchOn": ["unknown"]}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Attribute `unknown` is not searchable. Available searchable attributes are: `id, title`.",
|
||||
"code": "invalid_search_attributes_to_search_on",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_attributes_to_search_on"
|
||||
}
|
||||
"###);
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
|
|
@ -1050,19 +1049,18 @@ async fn search_on_unknown_field_plus_joker() {
|
|||
index.update_settings_searchable_attributes(json!(["id", "title"])).await;
|
||||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let expected_response = json!({
|
||||
"message": format!("Index `{}`: Attribute `unknown` is not searchable. Available searchable attributes are: `id, title`.", index.uid),
|
||||
"code": "invalid_search_attributes_to_search_on",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_attributes_to_search_on"
|
||||
});
|
||||
index
|
||||
.search(
|
||||
json!({"q": "Captain Marvel", "attributesToSearchOn": ["*", "unknown"]}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Attribute `unknown` is not searchable. Available searchable attributes are: `id, title`.",
|
||||
"code": "invalid_search_attributes_to_search_on",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_attributes_to_search_on"
|
||||
}
|
||||
"###);
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
|
|
@ -1071,15 +1069,8 @@ async fn search_on_unknown_field_plus_joker() {
|
|||
.search(
|
||||
json!({"q": "Captain Marvel", "attributesToSearchOn": ["unknown", "*"]}),
|
||||
|response, code| {
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Attribute `unknown` is not searchable. Available searchable attributes are: `id, title`.",
|
||||
"code": "invalid_search_attributes_to_search_on",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_attributes_to_search_on"
|
||||
}
|
||||
"###);
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
|
|
@ -1092,47 +1083,44 @@ async fn distinct_at_search_time() {
|
|||
let (task, _) = index.create(None).await;
|
||||
index.wait_task(task.uid()).await.succeeded();
|
||||
|
||||
let expected_response = json!({
|
||||
"message": format!("Index `{}`: Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. This index does not have configured filterable attributes.", index.uid),
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
});
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": "doggo.truc"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. This index does not have configured filterable attributes.",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
|
||||
let (task, _) = index.update_settings_filterable_attributes(json!(["color", "machin"])).await;
|
||||
index.wait_task(task.uid()).await;
|
||||
|
||||
let expected_response = json!({
|
||||
"message": format!("Index `{}`: Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. Available filterable attributes are: `color, machin`.", index.uid),
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
});
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": "doggo.truc"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. Available filterable attributes are: `color, machin`.",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
|
||||
let (task, _) = index.update_settings_displayed_attributes(json!(["color"])).await;
|
||||
index.wait_task(task.uid()).await;
|
||||
|
||||
let expected_response = json!({
|
||||
"message": format!("Index `{}`: Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. Available filterable attributes are: `color, <..hidden-attributes>`.", index.uid),
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
});
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": "doggo.truc"})).await;
|
||||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(response, @r###"
|
||||
{
|
||||
"message": "Attribute `doggo.truc` is not filterable and thus, cannot be used as distinct attribute. Available filterable attributes are: `color, <..hidden-attributes>`.",
|
||||
"code": "invalid_search_distinct",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_distinct"
|
||||
}
|
||||
"###);
|
||||
assert_eq!(response, expected_response);
|
||||
assert_eq!(code, 400);
|
||||
|
||||
let (response, code) =
|
||||
index.search_post(json!({"page": 0, "hitsPerPage": 2, "distinct": true})).await;
|
||||
|
|
|
|||
|
|
@ -1070,7 +1070,7 @@ async fn federation_one_query_error() {
|
|||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Inside `.queries[1]`: Attribute `title` is not filterable. This index does not have configured filterable attributes.\n1:6 title = toto",
|
||||
"message": "Inside `.queries[1]`: Index `nested`: Attribute `title` is not filterable. This index does not have configured filterable attributes.\n1:6 title = toto",
|
||||
"code": "invalid_search_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
|
|
@ -1102,7 +1102,7 @@ async fn federation_one_query_sort_error() {
|
|||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Inside `.queries[1]`: Attribute `doggos` is not sortable. This index does not have configured sortable attributes.",
|
||||
"message": "Inside `.queries[1]`: Index `nested`: Attribute `doggos` is not sortable. This index does not have configured sortable attributes.",
|
||||
"code": "invalid_search_sort",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_sort"
|
||||
|
|
@ -1166,7 +1166,7 @@ async fn federation_multiple_query_errors() {
|
|||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Inside `.queries[0]`: Attribute `title` is not filterable. This index does not have configured filterable attributes.\n1:6 title = toto",
|
||||
"message": "Inside `.queries[0]`: Index `test`: Attribute `title` is not filterable. This index does not have configured filterable attributes.\n1:6 title = toto",
|
||||
"code": "invalid_search_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
|
|
@ -1198,7 +1198,7 @@ async fn federation_multiple_query_sort_errors() {
|
|||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Inside `.queries[0]`: Attribute `title` is not sortable. This index does not have configured sortable attributes.",
|
||||
"message": "Inside `.queries[0]`: Index `test`: Attribute `title` is not sortable. This index does not have configured sortable attributes.",
|
||||
"code": "invalid_search_sort",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_sort"
|
||||
|
|
@ -1231,7 +1231,7 @@ async fn federation_multiple_query_errors_interleaved() {
|
|||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Inside `.queries[1]`: Attribute `doggos` is not filterable. This index does not have configured filterable attributes.\n1:7 doggos IN [intel, kefir]",
|
||||
"message": "Inside `.queries[1]`: Index `nested`: Attribute `doggos` is not filterable. This index does not have configured filterable attributes.\n1:7 doggos IN [intel, kefir]",
|
||||
"code": "invalid_search_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
|
||||
|
|
@ -1264,7 +1264,7 @@ async fn federation_multiple_query_sort_errors_interleaved() {
|
|||
snapshot!(code, @"400 Bad Request");
|
||||
snapshot!(json_string!(response), @r###"
|
||||
{
|
||||
"message": "Inside `.queries[1]`: Attribute `doggos` is not sortable. This index does not have configured sortable attributes.",
|
||||
"message": "Inside `.queries[1]`: Index `nested`: Attribute `doggos` is not sortable. This index does not have configured sortable attributes.",
|
||||
"code": "invalid_search_sort",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_search_sort"
|
||||
|
|
|
|||
|
|
@ -448,7 +448,7 @@ async fn test_summarized_delete_documents_by_filter() {
|
|||
"originalFilter": "\"doggo = bernese\""
|
||||
},
|
||||
"error": {
|
||||
"message": "Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
|
||||
"message": "Index `test`: Attribute `doggo` is not filterable. This index does not have configured filterable attributes.\n1:6 doggo = bernese",
|
||||
"code": "invalid_document_filter",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_document_filter"
|
||||
|
|
|
|||
|
|
@ -318,7 +318,7 @@ async fn try_to_disable_binary_quantization() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "`.embedders.manual.binaryQuantized`: Cannot disable the binary quantization.\n - Note: Binary quantization is a lossy operation that cannot be reverted.\n - Hint: Add a new embedder that is non-quantized and regenerate the vectors.",
|
||||
"message": "Index `doggo`: `.embedders.manual.binaryQuantized`: Cannot disable the binary quantization.\n - Note: Binary quantization is a lossy operation that cannot be reverted.\n - Hint: Add a new embedder that is non-quantized and regenerate the vectors.",
|
||||
"code": "invalid_settings_embedders",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_settings_embedders"
|
||||
|
|
|
|||
|
|
@ -250,7 +250,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Missing field `._vectors.manual.regenerate`\n - note: `._vectors.manual` must be an array of floats, an array of arrays of floats, or an object with field `regenerate`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Missing field `._vectors.manual.regenerate`\n - note: `._vectors.manual` must be an array of floats, an array of arrays of floats, or an object with field `regenerate`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -280,7 +280,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Missing field `._vectors.manual.regenerate`\n - note: `._vectors.manual` must be an array of floats, an array of arrays of floats, or an object with field `regenerate`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Missing field `._vectors.manual.regenerate`\n - note: `._vectors.manual` must be an array of floats, an array of arrays of floats, or an object with field `regenerate`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -311,7 +311,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Could not parse `._vectors.manual.regenerate`: invalid type: string \"yes please\", expected a boolean at line 1 column 26",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Could not parse `._vectors.manual.regenerate`: invalid type: string \"yes please\", expected a boolean at line 1 column 26",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -340,7 +340,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings`: expected null or an array, but found a boolean: `true`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings`: expected null or an array, but found a boolean: `true`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -369,7 +369,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[0]`: expected a number or an array, but found a boolean: `true`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[0]`: expected a number or an array, but found a boolean: `true`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -398,7 +398,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[0][0]`: expected a number, but found a boolean: `true`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[0][0]`: expected a number, but found a boolean: `true`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -440,7 +440,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[1]`: expected a number, but found an array: `[0.2,0.3]`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[1]`: expected a number, but found an array: `[0.2,0.3]`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -469,7 +469,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[1]`: expected an array, but found a number: `0.3`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[1]`: expected an array, but found a number: `0.3`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -498,7 +498,7 @@ async fn user_provided_embeddings_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[0][1]`: expected a number, but found a boolean: `true`",
|
||||
"message": "Index `doggo`: Bad embedder configuration in the document with id: `0`. Invalid value type at `._vectors.manual.embeddings[0][1]`: expected a number, but found a boolean: `true`",
|
||||
"code": "invalid_vectors_type",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
|
||||
|
|
@ -539,7 +539,7 @@ async fn user_provided_vectors_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `manual`: no vectors provided for document `40` and at least 4 other document(s)\n- Note: `manual` has `source: userProvided`, so documents must provide embeddings as an array in `_vectors.manual`.\n- Hint: opt-out for a document with `_vectors.manual: null`",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `manual`: no vectors provided for document `40` and at least 4 other document(s)\n- Note: `manual` has `source: userProvided`, so documents must provide embeddings as an array in `_vectors.manual`.\n- Hint: opt-out for a document with `_vectors.manual: null`",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -569,7 +569,7 @@ async fn user_provided_vectors_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `manual`: no vectors provided for document `42`\n- Note: `manual` has `source: userProvided`, so documents must provide embeddings as an array in `_vectors.manual`.\n- Hint: try replacing `_vector` by `_vectors` in 1 document(s).",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `manual`: no vectors provided for document `42`\n- Note: `manual` has `source: userProvided`, so documents must provide embeddings as an array in `_vectors.manual`.\n- Hint: try replacing `_vector` by `_vectors` in 1 document(s).",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -599,7 +599,7 @@ async fn user_provided_vectors_error() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `manual`: no vectors provided for document `42`\n- Note: `manual` has `source: userProvided`, so documents must provide embeddings as an array in `_vectors.manual`.\n- Hint: try replacing `_vectors.manaul` by `_vectors.manual` in 1 document(s).",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `manual`: no vectors provided for document `42`\n- Note: `manual` has `source: userProvided`, so documents must provide embeddings as an array in `_vectors.manual`.\n- Hint: try replacing `_vectors.manaul` by `_vectors.manual` in 1 document(s).",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
|
|||
|
|
@ -713,7 +713,7 @@ async fn bad_api_key() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `default`: user error: could not authenticate against OpenAI server\n - server replied with `{\"error\":{\"message\":\"Incorrect API key provided: Bearer doggo. You can find your API key at https://platform.openai.com/account/api-keys.\",\"type\":\"invalid_request_error\",\"param\":null,\"code\":\"invalid_api_key\"}}`\n - Hint: Check the `apiKey` parameter in the embedder configuration, and the `MEILI_OPENAI_API_KEY` and `OPENAI_API_KEY` environment variables",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `default`: user error: could not authenticate against OpenAI server\n - server replied with `{\"error\":{\"message\":\"Incorrect API key provided: Bearer doggo. You can find your API key at https://platform.openai.com/account/api-keys.\",\"type\":\"invalid_request_error\",\"param\":null,\"code\":\"invalid_api_key\"}}`\n - Hint: Check the `apiKey` parameter in the embedder configuration, and the `MEILI_OPENAI_API_KEY` and `OPENAI_API_KEY` environment variables",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -757,7 +757,7 @@ async fn bad_api_key() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `default`: user error: could not authenticate against OpenAI server\n - server replied with `{\"error\":{\"message\":\"You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.\",\"type\":\"invalid_request_error\",\"param\":null,\"code\":null}}`\n - Hint: Check the `apiKey` parameter in the embedder configuration, and the `MEILI_OPENAI_API_KEY` and `OPENAI_API_KEY` environment variables",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `default`: user error: could not authenticate against OpenAI server\n - server replied with `{\"error\":{\"message\":\"You didn't provide an API key. You need to provide your API key in an Authorization header using Bearer auth (i.e. Authorization: Bearer YOUR_KEY), or as the password field (with blank username) if you're accessing the API from your browser and are prompted for a username and password. You can obtain an API key from https://platform.openai.com/account/api-keys.\",\"type\":\"invalid_request_error\",\"param\":null,\"code\":null}}`\n - Hint: Check the `apiKey` parameter in the embedder configuration, and the `MEILI_OPENAI_API_KEY` and `OPENAI_API_KEY` environment variables",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
|
|||
|
|
@ -985,7 +985,7 @@ async fn bad_settings() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting a single \"{{embedding}}\", expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting a single \"{{embedding}}\", expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1025,7 +1025,7 @@ async fn bad_settings() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `rest`: runtime error: was expecting embeddings of dimension `2`, got embeddings of dimensions `3`",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `rest`: runtime error: was expecting embeddings of dimension `2`, got embeddings of dimensions `3`",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1178,7 +1178,7 @@ async fn server_returns_bad_request() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"test\\\", expected struct MultipleRequest at line 1 column 6\"}`",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"test\\\", expected struct MultipleRequest at line 1 column 6\"}`",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1247,7 +1247,7 @@ async fn server_returns_bad_request() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "While embedding documents for embedder `rest`: user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"name: kefir\\\\n\\\", expected struct MultipleRequest at line 1 column 15\"}`",
|
||||
"message": "Index `doggo`: While embedding documents for embedder `rest`: user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"name: kefir\\\\n\\\", expected struct MultipleRequest at line 1 column 15\"}`",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1306,7 +1306,7 @@ async fn server_returns_bad_response() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting the array of \"{{embedding}}\"s, configuration expects `response` to be an array with at least 1 item(s) but server sent an object with 1 field(s)",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting the array of \"{{embedding}}\"s, configuration expects `response` to be an array with at least 1 item(s) but server sent an object with 1 field(s)",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1362,7 +1362,7 @@ async fn server_returns_bad_response() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting item #0 from the array of \"{{embedding}}\"s, expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting item #0 from the array of \"{{embedding}}\"s, expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1414,7 +1414,7 @@ async fn server_returns_bad_response() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output`, while extracting a single \"{{embedding}}\", expected `output` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected f32",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output`, while extracting a single \"{{embedding}}\", expected `output` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected f32",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1478,7 +1478,7 @@ async fn server_returns_bad_response() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.embedding`, while extracting item #0 from the array of \"{{embedding}}\"s, configuration expects `embedding` to be an object with key `data` but server sent an array of size 3",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.embedding`, while extracting item #0 from the array of \"{{embedding}}\"s, configuration expects `embedding` to be an object with key `data` but server sent an array of size 3",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1542,7 +1542,7 @@ async fn server_returns_bad_response() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output[0]`, while extracting a single \"{{embedding}}\", configuration expects key \"embeddings\", which is missing in response\n - Hint: item #0 inside `output` has key `embedding`, did you mean `response.output[0].embedding` in embedder configuration?",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output[0]`, while extracting a single \"{{embedding}}\", configuration expects key \"embeddings\", which is missing in response\n - Hint: item #0 inside `output` has key `embedding`, did you mean `response.output[0].embedding` in embedder configuration?",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1908,7 +1908,7 @@ async fn server_custom_header() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"missing header 'my-nonstandard-auth'\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"missing header 'my-nonstandard-auth'\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -1951,7 +1951,7 @@ async fn server_custom_header() {
|
|||
}
|
||||
},
|
||||
"error": {
|
||||
"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"thou shall not pass, Balrog\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
|
||||
"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"thou shall not pass, Balrog\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
@ -2099,7 +2099,7 @@ async fn searchable_reindex() {
|
|||
]
|
||||
},
|
||||
"error": {
|
||||
"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\"}`",
|
||||
"message": "Index `doggo`: 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\"}`",
|
||||
"code": "vector_embedding_error",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue