mirror of
https://github.com/meilisearch/MeiliSearch
synced 2025-07-03 03:47:02 +02:00
Merge pull request #5509 from meilisearch/release-v1.14.0-tmp
Bring back changes from v1.14.0 to main
This commit is contained in:
commit
a500fa053c
43 changed files with 1047 additions and 508 deletions
|
@ -30,11 +30,7 @@ actix-web = { version = "4.9.0", default-features = false, features = [
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anyhow = { version = "1.0.95", features = ["backtrace"] }
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async-trait = "0.1.85"
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bstr = "1.11.3"
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byte-unit = { version = "5.1.6", default-features = false, features = [
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"std",
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"byte",
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"serde",
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] }
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byte-unit = { version = "5.1.6", features = ["serde"] }
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bytes = "1.9.0"
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clap = { version = "4.5.24", features = ["derive", "env"] }
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crossbeam-channel = "0.5.15"
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@ -140,7 +136,7 @@ reqwest = { version = "0.12.12", features = [
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sha-1 = { version = "0.10.1", optional = true }
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static-files = { version = "0.2.4", optional = true }
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tempfile = { version = "3.15.0", optional = true }
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zip = { version = "2.2.2", optional = true }
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zip = { version = "2.3.0", optional = true }
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[features]
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default = ["meilisearch-types/all-tokenizations", "mini-dashboard"]
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@ -170,5 +166,5 @@ german = ["meilisearch-types/german"]
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turkish = ["meilisearch-types/turkish"]
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[package.metadata.mini-dashboard]
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assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.18/build.zip"
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sha1 = "b408a30dcb6e20cddb0c153c23385bcac4c8e912"
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assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.19/build.zip"
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sha1 = "7974430d5277c97f67cf6e95eec6faaac2788834"
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@ -329,7 +329,8 @@ impl Infos {
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http_addr: http_addr != default_http_addr(),
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http_payload_size_limit,
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experimental_max_number_of_batched_tasks,
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experimental_limit_batched_tasks_total_size,
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experimental_limit_batched_tasks_total_size:
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experimental_limit_batched_tasks_total_size.into(),
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task_queue_webhook: task_webhook_url.is_some(),
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task_webhook_authorization_header: task_webhook_authorization_header.is_some(),
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log_level: log_level.to_string(),
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@ -228,7 +228,7 @@ pub fn setup_meilisearch(opt: &Opt) -> anyhow::Result<(Arc<IndexScheduler>, Arc<
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cleanup_enabled: !opt.experimental_replication_parameters,
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max_number_of_tasks: 1_000_000,
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max_number_of_batched_tasks: opt.experimental_max_number_of_batched_tasks,
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batched_tasks_size_limit: opt.experimental_limit_batched_tasks_total_size,
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batched_tasks_size_limit: opt.experimental_limit_batched_tasks_total_size.into(),
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index_growth_amount: byte_unit::Byte::from_str("10GiB").unwrap().as_u64() as usize,
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index_count: DEFAULT_INDEX_COUNT,
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instance_features: opt.to_instance_features(),
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@ -445,7 +445,7 @@ pub struct Opt {
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/// see: <https://github.com/orgs/meilisearch/discussions/801>
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#[clap(long, env = MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_TOTAL_SIZE, default_value_t = default_limit_batched_tasks_total_size())]
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#[serde(default = "default_limit_batched_tasks_total_size")]
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pub experimental_limit_batched_tasks_total_size: u64,
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pub experimental_limit_batched_tasks_total_size: Byte,
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/// Enables experimental caching of search query embeddings. The value represents the maximal number of entries in the cache of each
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/// distinct embedder.
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@ -968,8 +968,8 @@ fn default_limit_batched_tasks() -> usize {
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usize::MAX
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}
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fn default_limit_batched_tasks_total_size() -> u64 {
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u64::MAX
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fn default_limit_batched_tasks_total_size() -> Byte {
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Byte::from_u64(u64::MAX)
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}
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fn default_embedding_cache_entries() -> usize {
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@ -518,7 +518,7 @@ impl From<index_scheduler::IndexStats> for IndexStats {
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.inner_stats
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.number_of_documents
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.unwrap_or(stats.inner_stats.documents_database_stats.number_of_entries()),
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raw_document_db_size: stats.inner_stats.documents_database_stats.total_value_size(),
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raw_document_db_size: stats.inner_stats.documents_database_stats.total_size(),
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avg_document_size: stats.inner_stats.documents_database_stats.average_value_size(),
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is_indexing: stats.is_indexing,
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number_of_embeddings: stats.inner_stats.number_of_embeddings,
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@ -281,7 +281,8 @@ async fn test_summarized_document_addition_or_update() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r###"
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{
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@ -303,7 +304,8 @@ async fn test_summarized_document_addition_or_update() {
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"test": 1
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},
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"progressTrace": "[progressTrace]",
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"writeChannelCongestion": "[writeChannelCongestion]"
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"writeChannelCongestion": "[writeChannelCongestion]",
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"internalDatabaseSizes": "[internalDatabaseSizes]"
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},
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"duration": "[duration]",
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"startedAt": "[date]",
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@ -322,7 +324,8 @@ async fn test_summarized_document_addition_or_update() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r###"
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{
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@ -407,7 +410,8 @@ async fn test_summarized_delete_documents_by_batch() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r###"
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{
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@ -495,7 +499,8 @@ async fn test_summarized_delete_documents_by_filter() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r###"
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{
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@ -537,7 +542,8 @@ async fn test_summarized_delete_documents_by_filter() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r#"
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{
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@ -623,7 +629,8 @@ async fn test_summarized_delete_document_by_id() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r#"
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{
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@ -679,7 +686,8 @@ async fn test_summarized_settings_update() {
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".startedAt" => "[date]",
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".finishedAt" => "[date]",
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".stats.progressTrace" => "[progressTrace]",
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".stats.writeChannelCongestion" => "[writeChannelCongestion]"
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".stats.writeChannelCongestion" => "[writeChannelCongestion]",
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".stats.internalDatabaseSizes" => "[internalDatabaseSizes]"
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},
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@r###"
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{
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@ -1897,11 +1897,11 @@ async fn update_documents_with_geo_field() {
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},
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{
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"id": "3",
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"_geo": { "lat": 1, "lng": 1 },
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"_geo": { "lat": 3, "lng": 0 },
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},
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{
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"id": "4",
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"_geo": { "lat": "1", "lng": "1" },
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"_geo": { "lat": "4", "lng": "0" },
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},
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]);
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@ -1928,9 +1928,7 @@ async fn update_documents_with_geo_field() {
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}
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"###);
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let (response, code) = index
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.search_post(json!({"sort": ["_geoPoint(50.629973371633746,3.0569447399419567):desc"]}))
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.await;
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let (response, code) = index.search_post(json!({"sort": ["_geoPoint(10,0):asc"]})).await;
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snapshot!(code, @"200 OK");
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// we are expecting docs 4 and 3 first as they have geo
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snapshot!(json_string!(response, { ".processingTimeMs" => "[time]" }),
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@ -1940,18 +1938,18 @@ async fn update_documents_with_geo_field() {
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{
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"id": "4",
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"_geo": {
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"lat": "1",
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"lng": "1"
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"lat": "4",
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"lng": "0"
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},
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"_geoDistance": 5522018
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"_geoDistance": 667170
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},
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{
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"id": "3",
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"_geo": {
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"lat": 1,
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"lng": 1
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"lat": 3,
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"lng": 0
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},
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"_geoDistance": 5522018
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"_geoDistance": 778364
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},
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{
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"id": "1"
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@ -1969,10 +1967,13 @@ async fn update_documents_with_geo_field() {
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}
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"###);
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let updated_documents = json!([{
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"id": "3",
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"doggo": "kefir",
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}]);
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let updated_documents = json!([
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{
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"id": "3",
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"doggo": "kefir",
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"_geo": { "lat": 5, "lng": 0 },
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}
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]);
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let (task, _status_code) = index.update_documents(updated_documents, None).await;
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let response = index.wait_task(task.uid()).await;
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snapshot!(json_string!(response, { ".duration" => "[duration]", ".enqueuedAt" => "[date]", ".startedAt" => "[date]", ".finishedAt" => "[date]" }),
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@ -2012,16 +2013,16 @@ async fn update_documents_with_geo_field() {
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{
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"id": "3",
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"_geo": {
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"lat": 1,
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"lng": 1
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"lat": 5,
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"lng": 0
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},
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"doggo": "kefir"
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},
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{
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"id": "4",
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"_geo": {
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"lat": "1",
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"lng": "1"
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"lat": "4",
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"lng": "0"
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}
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}
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],
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@ -2031,31 +2032,29 @@ async fn update_documents_with_geo_field() {
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}
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"###);
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let (response, code) = index
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.search_post(json!({"sort": ["_geoPoint(50.629973371633746,3.0569447399419567):desc"]}))
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.await;
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let (response, code) = index.search_post(json!({"sort": ["_geoPoint(10,0):asc"]})).await;
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snapshot!(code, @"200 OK");
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// the search response should not have changed: we are expecting docs 4 and 3 first as they have geo
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snapshot!(json_string!(response, { ".processingTimeMs" => "[time]" }),
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@r###"
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{
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"hits": [
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{
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"id": "4",
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"_geo": {
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"lat": "1",
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"lng": "1"
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},
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"_geoDistance": 5522018
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},
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{
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"id": "3",
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"_geo": {
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"lat": 1,
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"lng": 1
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"lat": 5,
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"lng": 0
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},
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"doggo": "kefir",
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"_geoDistance": 5522018
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"_geoDistance": 555975
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},
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{
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"id": "4",
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"_geo": {
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"lat": "4",
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"lng": "0"
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},
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"_geoDistance": 667170
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},
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{
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"id": "1"
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|
|
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@ -157,11 +157,14 @@ async fn delete_document_by_filter() {
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index.wait_task(task.uid()).await.succeeded();
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let (stats, _) = index.stats().await;
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snapshot!(json_string!(stats), @r###"
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snapshot!(json_string!(stats, {
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".rawDocumentDbSize" => "[size]",
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".avgDocumentSize" => "[size]",
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}), @r###"
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{
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"numberOfDocuments": 4,
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"rawDocumentDbSize": 42,
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"avgDocumentSize": 10,
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"rawDocumentDbSize": "[size]",
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"avgDocumentSize": "[size]",
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"isIndexing": false,
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"numberOfEmbeddings": 0,
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"numberOfEmbeddedDocuments": 0,
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|
@ -208,11 +211,14 @@ async fn delete_document_by_filter() {
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"###);
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let (stats, _) = index.stats().await;
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snapshot!(json_string!(stats), @r###"
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snapshot!(json_string!(stats, {
|
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".rawDocumentDbSize" => "[size]",
|
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".avgDocumentSize" => "[size]",
|
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}), @r###"
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{
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"numberOfDocuments": 2,
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"rawDocumentDbSize": 16,
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"avgDocumentSize": 8,
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"rawDocumentDbSize": "[size]",
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"avgDocumentSize": "[size]",
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"isIndexing": false,
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"numberOfEmbeddings": 0,
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"numberOfEmbeddedDocuments": 0,
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|
@ -278,11 +284,14 @@ async fn delete_document_by_filter() {
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"###);
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|
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let (stats, _) = index.stats().await;
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snapshot!(json_string!(stats), @r###"
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snapshot!(json_string!(stats, {
|
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".rawDocumentDbSize" => "[size]",
|
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".avgDocumentSize" => "[size]",
|
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}), @r###"
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{
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"numberOfDocuments": 1,
|
||||
"rawDocumentDbSize": 12,
|
||||
"avgDocumentSize": 12,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
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"numberOfEmbeddings": 0,
|
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"numberOfEmbeddedDocuments": 0,
|
||||
|
|
|
@ -28,12 +28,15 @@ async fn import_dump_v1_movie_raw() {
|
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let (stats, code) = index.stats().await;
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snapshot!(code, @"200 OK");
|
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snapshot!(
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json_string!(stats),
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json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
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||||
@r###"
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||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -185,12 +188,15 @@ async fn import_dump_v1_movie_with_settings() {
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let (stats, code) = index.stats().await;
|
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snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -355,12 +361,15 @@ async fn import_dump_v1_rubygems_with_settings() {
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|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 8606,
|
||||
"avgDocumentSize": 162,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -522,12 +531,15 @@ async fn import_dump_v2_movie_raw() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -679,12 +691,15 @@ async fn import_dump_v2_movie_with_settings() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -846,12 +861,15 @@ async fn import_dump_v2_rubygems_with_settings() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 8606,
|
||||
"avgDocumentSize": 162,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1010,12 +1028,15 @@ async fn import_dump_v3_movie_raw() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1167,12 +1188,15 @@ async fn import_dump_v3_movie_with_settings() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1334,12 +1358,15 @@ async fn import_dump_v3_rubygems_with_settings() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 8606,
|
||||
"avgDocumentSize": 162,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1498,12 +1525,15 @@ async fn import_dump_v4_movie_raw() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1655,12 +1685,15 @@ async fn import_dump_v4_movie_with_settings() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 21965,
|
||||
"avgDocumentSize": 414,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1822,12 +1855,15 @@ async fn import_dump_v4_rubygems_with_settings() {
|
|||
let (stats, code) = index.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 53,
|
||||
"rawDocumentDbSize": 8606,
|
||||
"avgDocumentSize": 162,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -1994,11 +2030,14 @@ async fn import_dump_v5() {
|
|||
|
||||
let (stats, code) = index1.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 10,
|
||||
"rawDocumentDbSize": 6782,
|
||||
"avgDocumentSize": 678,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -2031,12 +2070,15 @@ async fn import_dump_v5() {
|
|||
let (stats, code) = index2.stats().await;
|
||||
snapshot!(code, @"200 OK");
|
||||
snapshot!(
|
||||
json_string!(stats),
|
||||
json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}),
|
||||
@r###"
|
||||
{
|
||||
"numberOfDocuments": 10,
|
||||
"rawDocumentDbSize": 6782,
|
||||
"avgDocumentSize": 678,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -2237,6 +2279,7 @@ async fn import_dump_v6_containing_batches_and_enqueued_tasks() {
|
|||
".results[0].duration" => "[date]",
|
||||
".results[0].stats.progressTrace" => "[progressTrace]",
|
||||
".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]",
|
||||
".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]",
|
||||
}), name: "batches");
|
||||
|
||||
let (indexes, code) = server.list_indexes(None, None).await;
|
||||
|
|
|
@ -1783,6 +1783,146 @@ async fn test_nested_fields() {
|
|||
.await;
|
||||
}
|
||||
|
||||
#[actix_rt::test]
|
||||
async fn test_typo_settings() {
|
||||
let documents = json!([
|
||||
{
|
||||
"id": 0,
|
||||
"title": "The zeroth document",
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"title": "The first document",
|
||||
"nested": {
|
||||
"object": "field",
|
||||
"machin": "bidule",
|
||||
},
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"title": "The second document",
|
||||
"nested": [
|
||||
"array",
|
||||
{
|
||||
"object": "field",
|
||||
},
|
||||
{
|
||||
"prout": "truc",
|
||||
"machin": "lol",
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"title": "The third document",
|
||||
"nested": "I lied",
|
||||
},
|
||||
]);
|
||||
|
||||
test_settings_documents_indexing_swapping_and_search(
|
||||
&documents,
|
||||
&json!({
|
||||
"searchableAttributes": ["title", "nested.object", "nested.machin"],
|
||||
"typoTolerance": {
|
||||
"enabled": true,
|
||||
"disableOnAttributes": ["title"]
|
||||
}
|
||||
}),
|
||||
&json!({"q": "document"}),
|
||||
|response, code| {
|
||||
assert_eq!(code, 200, "{}", response);
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
[
|
||||
{
|
||||
"id": 0,
|
||||
"title": "The zeroth document"
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"title": "The first document",
|
||||
"nested": {
|
||||
"object": "field",
|
||||
"machin": "bidule"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"title": "The second document",
|
||||
"nested": [
|
||||
"array",
|
||||
{
|
||||
"object": "field"
|
||||
},
|
||||
{
|
||||
"prout": "truc",
|
||||
"machin": "lol"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"title": "The third document",
|
||||
"nested": "I lied"
|
||||
}
|
||||
]
|
||||
"###);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
|
||||
// Test prefix search
|
||||
test_settings_documents_indexing_swapping_and_search(
|
||||
&documents,
|
||||
&json!({
|
||||
"searchableAttributes": ["title", "nested.object", "nested.machin"],
|
||||
"typoTolerance": {
|
||||
"enabled": true,
|
||||
"disableOnAttributes": ["title"]
|
||||
}
|
||||
}),
|
||||
&json!({"q": "docume"}),
|
||||
|response, code| {
|
||||
assert_eq!(code, 200, "{}", response);
|
||||
snapshot!(json_string!(response["hits"]), @r###"
|
||||
[
|
||||
{
|
||||
"id": 0,
|
||||
"title": "The zeroth document"
|
||||
},
|
||||
{
|
||||
"id": 1,
|
||||
"title": "The first document",
|
||||
"nested": {
|
||||
"object": "field",
|
||||
"machin": "bidule"
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": 2,
|
||||
"title": "The second document",
|
||||
"nested": [
|
||||
"array",
|
||||
{
|
||||
"object": "field"
|
||||
},
|
||||
{
|
||||
"prout": "truc",
|
||||
"machin": "lol"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": 3,
|
||||
"title": "The third document",
|
||||
"nested": "I lied"
|
||||
}
|
||||
]
|
||||
"###);
|
||||
},
|
||||
)
|
||||
.await;
|
||||
}
|
||||
|
||||
/// Modifying facets with different casing should work correctly
|
||||
#[actix_rt::test]
|
||||
async fn change_facet_casing() {
|
||||
|
|
|
@ -110,11 +110,14 @@ async fn add_remove_embeddings() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 27,
|
||||
"avgDocumentSize": 13,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 5,
|
||||
"numberOfEmbeddedDocuments": 2,
|
||||
|
@ -135,11 +138,14 @@ async fn add_remove_embeddings() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 27,
|
||||
"avgDocumentSize": 13,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 3,
|
||||
"numberOfEmbeddedDocuments": 2,
|
||||
|
@ -160,11 +166,14 @@ async fn add_remove_embeddings() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 27,
|
||||
"avgDocumentSize": 13,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 2,
|
||||
"numberOfEmbeddedDocuments": 2,
|
||||
|
@ -186,11 +195,14 @@ async fn add_remove_embeddings() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 27,
|
||||
"avgDocumentSize": 13,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 2,
|
||||
"numberOfEmbeddedDocuments": 1,
|
||||
|
@ -236,11 +248,14 @@ async fn add_remove_embedded_documents() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 27,
|
||||
"avgDocumentSize": 13,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 5,
|
||||
"numberOfEmbeddedDocuments": 2,
|
||||
|
@ -257,11 +272,14 @@ async fn add_remove_embedded_documents() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 1,
|
||||
"rawDocumentDbSize": 13,
|
||||
"avgDocumentSize": 13,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 3,
|
||||
"numberOfEmbeddedDocuments": 1,
|
||||
|
@ -290,11 +308,14 @@ async fn update_embedder_settings() {
|
|||
index.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 108,
|
||||
"avgDocumentSize": 54,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -326,11 +347,14 @@ async fn update_embedder_settings() {
|
|||
server.wait_task(response.uid()).await.succeeded();
|
||||
|
||||
let (stats, _code) = index.stats().await;
|
||||
snapshot!(json_string!(stats), @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[size]",
|
||||
".avgDocumentSize" => "[size]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 2,
|
||||
"rawDocumentDbSize": 108,
|
||||
"avgDocumentSize": 54,
|
||||
"rawDocumentDbSize": "[size]",
|
||||
"avgDocumentSize": "[size]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 3,
|
||||
"numberOfEmbeddedDocuments": 2,
|
||||
|
|
|
@ -133,7 +133,9 @@ async fn check_the_index_scheduler(server: &Server) {
|
|||
let (stats, _) = server.stats().await;
|
||||
assert_json_snapshot!(stats, {
|
||||
".databaseSize" => "[bytes]",
|
||||
".usedDatabaseSize" => "[bytes]"
|
||||
".usedDatabaseSize" => "[bytes]",
|
||||
".indexes.kefir.rawDocumentDbSize" => "[bytes]",
|
||||
".indexes.kefir.avgDocumentSize" => "[bytes]",
|
||||
},
|
||||
@r###"
|
||||
{
|
||||
|
@ -143,8 +145,8 @@ async fn check_the_index_scheduler(server: &Server) {
|
|||
"indexes": {
|
||||
"kefir": {
|
||||
"numberOfDocuments": 1,
|
||||
"rawDocumentDbSize": 109,
|
||||
"avgDocumentSize": 109,
|
||||
"rawDocumentDbSize": "[bytes]",
|
||||
"avgDocumentSize": "[bytes]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -193,31 +195,33 @@ async fn check_the_index_scheduler(server: &Server) {
|
|||
|
||||
// Tests all the batches query parameters
|
||||
let (batches, _) = server.batches_filter("uids=10").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_uids_equal_10");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_uids_equal_10");
|
||||
let (batches, _) = server.batches_filter("batchUids=10").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_batchUids_equal_10");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_batchUids_equal_10");
|
||||
let (batches, _) = server.batches_filter("statuses=canceled").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_statuses_equal_canceled");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_statuses_equal_canceled");
|
||||
// types has already been tested above to retrieve the upgrade database
|
||||
let (batches, _) = server.batches_filter("canceledBy=19").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_canceledBy_equal_19");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_canceledBy_equal_19");
|
||||
let (batches, _) = server.batches_filter("beforeEnqueuedAt=2025-01-16T16:47:41Z").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_beforeEnqueuedAt_equal_2025-01-16T16_47_41");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_beforeEnqueuedAt_equal_2025-01-16T16_47_41");
|
||||
let (batches, _) = server.batches_filter("afterEnqueuedAt=2025-01-16T16:47:41Z").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_afterEnqueuedAt_equal_2025-01-16T16_47_41");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_afterEnqueuedAt_equal_2025-01-16T16_47_41");
|
||||
let (batches, _) = server.batches_filter("beforeStartedAt=2025-01-16T16:47:41Z").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_beforeStartedAt_equal_2025-01-16T16_47_41");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_beforeStartedAt_equal_2025-01-16T16_47_41");
|
||||
let (batches, _) = server.batches_filter("afterStartedAt=2025-01-16T16:47:41Z").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_afterStartedAt_equal_2025-01-16T16_47_41");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_afterStartedAt_equal_2025-01-16T16_47_41");
|
||||
let (batches, _) = server.batches_filter("beforeFinishedAt=2025-01-16T16:47:41Z").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_beforeFinishedAt_equal_2025-01-16T16_47_41");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_beforeFinishedAt_equal_2025-01-16T16_47_41");
|
||||
let (batches, _) = server.batches_filter("afterFinishedAt=2025-01-16T16:47:41Z").await;
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_afterFinishedAt_equal_2025-01-16T16_47_41");
|
||||
snapshot!(json_string!(batches, { ".results[0].duration" => "[duration]", ".results[0].enqueuedAt" => "[date]", ".results[0].startedAt" => "[date]", ".results[0].finishedAt" => "[date]", ".results[0].stats.progressTrace" => "[progressTrace]", ".results[0].stats.internalDatabaseSizes" => "[internalDatabaseSizes]", ".results[0].stats.writeChannelCongestion" => "[writeChannelCongestion]" }), name: "batches_filter_afterFinishedAt_equal_2025-01-16T16_47_41");
|
||||
|
||||
let (stats, _) = server.stats().await;
|
||||
assert_json_snapshot!(stats, {
|
||||
".databaseSize" => "[bytes]",
|
||||
".usedDatabaseSize" => "[bytes]"
|
||||
".usedDatabaseSize" => "[bytes]",
|
||||
".indexes.kefir.rawDocumentDbSize" => "[bytes]",
|
||||
".indexes.kefir.avgDocumentSize" => "[bytes]",
|
||||
},
|
||||
@r###"
|
||||
{
|
||||
|
@ -227,8 +231,8 @@ async fn check_the_index_scheduler(server: &Server) {
|
|||
"indexes": {
|
||||
"kefir": {
|
||||
"numberOfDocuments": 1,
|
||||
"rawDocumentDbSize": 109,
|
||||
"avgDocumentSize": 109,
|
||||
"rawDocumentDbSize": "[bytes]",
|
||||
"avgDocumentSize": "[bytes]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
@ -245,11 +249,14 @@ async fn check_the_index_scheduler(server: &Server) {
|
|||
"###);
|
||||
let index = server.index("kefir");
|
||||
let (stats, _) = index.stats().await;
|
||||
snapshot!(stats, @r###"
|
||||
snapshot!(json_string!(stats, {
|
||||
".rawDocumentDbSize" => "[bytes]",
|
||||
".avgDocumentSize" => "[bytes]",
|
||||
}), @r###"
|
||||
{
|
||||
"numberOfDocuments": 1,
|
||||
"rawDocumentDbSize": 109,
|
||||
"avgDocumentSize": 109,
|
||||
"rawDocumentDbSize": "[bytes]",
|
||||
"avgDocumentSize": "[bytes]",
|
||||
"isIndexing": false,
|
||||
"numberOfEmbeddings": 0,
|
||||
"numberOfEmbeddedDocuments": 0,
|
||||
|
|
|
@ -188,7 +188,7 @@ async fn user_provide_mismatched_embedding_dimension() {
|
|||
let (value, code) = index.add_documents(documents, None).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
let task = index.wait_task(value.uid()).await;
|
||||
snapshot!(task, @r#"
|
||||
snapshot!(task, @r###"
|
||||
{
|
||||
"uid": "[uid]",
|
||||
"batchUid": "[batch_uid]",
|
||||
|
@ -201,7 +201,7 @@ async fn user_provide_mismatched_embedding_dimension() {
|
|||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Index `doggo`: Invalid vector dimensions: expected: `3`, found: `2`.",
|
||||
"message": "Index `doggo`: Invalid vector dimensions in document with id `0` in `._vectors.manual`.\n - note: embedding #0 has dimensions 2\n - note: embedder `manual` requires 3",
|
||||
"code": "invalid_vector_dimensions",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vector_dimensions"
|
||||
|
@ -211,46 +211,36 @@ async fn user_provide_mismatched_embedding_dimension() {
|
|||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"#);
|
||||
"###);
|
||||
|
||||
// FIXME: /!\ Case where number of embeddings is divisor of `dimensions` would still pass
|
||||
let new_document = json!([
|
||||
{"id": 0, "name": "kefir", "_vectors": { "manual": [[0, 0], [1, 1], [2, 2]] }},
|
||||
]);
|
||||
let (response, code) = index.add_documents(new_document, None).await;
|
||||
snapshot!(code, @"202 Accepted");
|
||||
index.wait_task(response.uid()).await.succeeded();
|
||||
let (documents, _code) = index
|
||||
.get_all_documents(GetAllDocumentsOptions { retrieve_vectors: true, ..Default::default() })
|
||||
.await;
|
||||
snapshot!(json_string!(documents), @r###"
|
||||
let task = index.wait_task(response.uid()).await;
|
||||
snapshot!(task, @r###"
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"id": 0,
|
||||
"name": "kefir",
|
||||
"_vectors": {
|
||||
"manual": {
|
||||
"embeddings": [
|
||||
[
|
||||
0.0,
|
||||
0.0,
|
||||
1.0
|
||||
],
|
||||
[
|
||||
1.0,
|
||||
2.0,
|
||||
2.0
|
||||
]
|
||||
],
|
||||
"regenerate": false
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"offset": 0,
|
||||
"limit": 20,
|
||||
"total": 1
|
||||
"uid": "[uid]",
|
||||
"batchUid": "[batch_uid]",
|
||||
"indexUid": "doggo",
|
||||
"status": "failed",
|
||||
"type": "documentAdditionOrUpdate",
|
||||
"canceledBy": null,
|
||||
"details": {
|
||||
"receivedDocuments": 1,
|
||||
"indexedDocuments": 0
|
||||
},
|
||||
"error": {
|
||||
"message": "Index `doggo`: Invalid vector dimensions in document with id `0` in `._vectors.manual`.\n - note: embedding #0 has dimensions 2\n - note: embedder `manual` requires 3",
|
||||
"code": "invalid_vector_dimensions",
|
||||
"type": "invalid_request",
|
||||
"link": "https://docs.meilisearch.com/errors#invalid_vector_dimensions"
|
||||
},
|
||||
"duration": "[duration]",
|
||||
"enqueuedAt": "[date]",
|
||||
"startedAt": "[date]",
|
||||
"finishedAt": "[date]"
|
||||
}
|
||||
"###);
|
||||
}
|
||||
|
|
Loading…
Add table
Add a link
Reference in a new issue