Merge remote-tracking branch 'origin/release-v1.16.0' into document-sorting

This commit is contained in:
Mubelotix
2025-07-15 17:41:46 +02:00
181 changed files with 9716 additions and 2765 deletions

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@ -169,5 +169,5 @@ german = ["meilisearch-types/german"]
turkish = ["meilisearch-types/turkish"]
[package.metadata.mini-dashboard]
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.19/build.zip"
sha1 = "7974430d5277c97f67cf6e95eec6faaac2788834"
assets-url = "https://github.com/meilisearch/mini-dashboard/releases/download/v0.2.20/build.zip"
sha1 = "82a7ddd7bf14bb5323c3d235d2b62892a98b6a59"

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@ -197,11 +197,13 @@ struct Infos {
experimental_max_number_of_batched_tasks: usize,
experimental_limit_batched_tasks_total_size: u64,
experimental_network: bool,
experimental_multimodal: bool,
experimental_chat_completions: bool,
experimental_get_task_documents_route: bool,
experimental_composite_embedders: bool,
experimental_embedding_cache_entries: usize,
experimental_no_snapshot_compaction: bool,
experimental_no_edition_2024_for_settings: bool,
gpu_enabled: bool,
db_path: bool,
import_dump: bool,
@ -286,8 +288,12 @@ impl Infos {
ScheduleSnapshot::Enabled(interval) => Some(interval),
};
let IndexerOpts { max_indexing_memory, max_indexing_threads, skip_index_budget: _ } =
indexer_options;
let IndexerOpts {
max_indexing_memory,
max_indexing_threads,
skip_index_budget: _,
experimental_no_edition_2024_for_settings,
} = indexer_options;
let RuntimeTogglableFeatures {
metrics,
@ -298,6 +304,7 @@ impl Infos {
get_task_documents_route,
composite_embedders,
chat_completions,
multimodal,
} = features;
// We're going to override every sensible information.
@ -317,6 +324,7 @@ impl Infos {
experimental_reduce_indexing_memory_usage,
experimental_network: network,
experimental_chat_completions: chat_completions,
experimental_multimodal: multimodal,
experimental_get_task_documents_route: get_task_documents_route,
experimental_composite_embedders: composite_embedders,
experimental_embedding_cache_entries,
@ -350,6 +358,7 @@ impl Infos {
ssl_require_auth,
ssl_resumption,
ssl_tickets,
experimental_no_edition_2024_for_settings,
}
}
}

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@ -49,7 +49,7 @@ pub enum MeilisearchHttpError {
TooManySearchRequests(usize),
#[error("Internal error: Search limiter is down.")]
SearchLimiterIsDown,
#[error("The provided payload reached the size limit. The maximum accepted payload size is {}.", Byte::from_u64(*.0 as u64).get_appropriate_unit(UnitType::Binary))]
#[error("The provided payload reached the size limit. The maximum accepted payload size is {}.", Byte::from_u64(*.0 as u64).get_appropriate_unit(if *.0 % 1024 == 0 { UnitType::Binary } else { UnitType::Decimal }))]
PayloadTooLarge(usize),
#[error("Two indexes must be given for each swap. The list `[{}]` contains {} indexes.",
.0.iter().map(|uid| format!("\"{uid}\"")).collect::<Vec<_>>().join(", "), .0.len()
@ -76,8 +76,10 @@ pub enum MeilisearchHttpError {
DocumentFormat(#[from] DocumentFormatError),
#[error(transparent)]
Join(#[from] JoinError),
#[error("Invalid request: missing `hybrid` parameter when `vector` is present.")]
#[error("Invalid request: missing `hybrid` parameter when `vector` or `media` are present.")]
MissingSearchHybrid,
#[error("Invalid request: both `media` and `vector` parameters are present.")]
MediaAndVector,
}
impl MeilisearchHttpError {
@ -111,6 +113,7 @@ impl ErrorCode for MeilisearchHttpError {
MeilisearchHttpError::DocumentFormat(e) => e.error_code(),
MeilisearchHttpError::Join(_) => Code::Internal,
MeilisearchHttpError::MissingSearchHybrid => Code::MissingSearchHybrid,
MeilisearchHttpError::MediaAndVector => Code::InvalidSearchMediaAndVector,
MeilisearchHttpError::FederationOptionsInNonFederatedRequest(_) => {
Code::InvalidMultiSearchFederationOptions
}

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@ -37,6 +37,7 @@ use index_scheduler::{IndexScheduler, IndexSchedulerOptions};
use meilisearch_auth::{open_auth_store_env, AuthController};
use meilisearch_types::milli::constants::VERSION_MAJOR;
use meilisearch_types::milli::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
use meilisearch_types::milli::progress::{EmbedderStats, Progress};
use meilisearch_types::milli::update::{
default_thread_pool_and_threads, IndexDocumentsConfig, IndexDocumentsMethod, IndexerConfig,
};
@ -463,6 +464,7 @@ fn import_dump(
index_scheduler: &mut IndexScheduler,
auth: &mut AuthController,
) -> Result<(), anyhow::Error> {
let progress = Progress::default();
let reader = File::open(dump_path)?;
let mut dump_reader = dump::DumpReader::open(reader)?;
@ -496,14 +498,20 @@ fn import_dump(
keys.push(key);
}
// 3. Import the runtime features and network
// 3. Import the `ChatCompletionSettings`s.
for result in dump_reader.chat_completions_settings()? {
let (name, settings) = result?;
index_scheduler.put_chat_settings(&name, &settings)?;
}
// 4. Import the runtime features and network
let features = dump_reader.features()?.unwrap_or_default();
index_scheduler.put_runtime_features(features)?;
let network = dump_reader.network()?.cloned().unwrap_or_default();
index_scheduler.put_network(network)?;
// 3.1 Use all cpus to process dump if `max_indexing_threads` not configured
// 4.1 Use all cpus to process dump if `max_indexing_threads` not configured
let backup_config;
let base_config = index_scheduler.indexer_config();
@ -520,7 +528,7 @@ fn import_dump(
// /!\ The tasks must be imported AFTER importing the indexes or else the scheduler might
// try to process tasks while we're trying to import the indexes.
// 4. Import the indexes.
// 5. Import the indexes.
for index_reader in dump_reader.indexes()? {
let mut index_reader = index_reader?;
let metadata = index_reader.metadata();
@ -533,20 +541,20 @@ fn import_dump(
let mut wtxn = index.write_txn()?;
let mut builder = milli::update::Settings::new(&mut wtxn, &index, indexer_config);
// 4.1 Import the primary key if there is one.
// 5.1 Import the primary key if there is one.
if let Some(ref primary_key) = metadata.primary_key {
builder.set_primary_key(primary_key.to_string());
}
// 4.2 Import the settings.
// 5.2 Import the settings.
tracing::info!("Importing the settings.");
let settings = index_reader.settings()?;
apply_settings_to_builder(&settings, &mut builder);
builder
.execute(|indexing_step| tracing::debug!("update: {:?}", indexing_step), || false)?;
let embedder_stats: Arc<EmbedderStats> = Default::default();
builder.execute(&|| false, &progress, embedder_stats.clone())?;
// 4.3 Import the documents.
// 4.3.1 We need to recreate the grenad+obkv format accepted by the index.
// 5.3 Import the documents.
// 5.3.1 We need to recreate the grenad+obkv format accepted by the index.
tracing::info!("Importing the documents.");
let file = tempfile::tempfile()?;
let mut builder = DocumentsBatchBuilder::new(BufWriter::new(file));
@ -557,11 +565,11 @@ fn import_dump(
// This flush the content of the batch builder.
let file = builder.into_inner()?.into_inner()?;
// 4.3.2 We feed it to the milli index.
// 5.3.2 We feed it to the milli index.
let reader = BufReader::new(file);
let reader = DocumentsBatchReader::from_reader(reader)?;
let embedder_configs = index.embedding_configs(&wtxn)?;
let embedder_configs = index.embedding_configs().embedding_configs(&wtxn)?;
let embedders = index_scheduler.embedders(uid.to_string(), embedder_configs)?;
let builder = milli::update::IndexDocuments::new(
@ -574,6 +582,7 @@ fn import_dump(
},
|indexing_step| tracing::trace!("update: {:?}", indexing_step),
|| false,
&embedder_stats,
)?;
let builder = builder.with_embedders(embedders);
@ -588,15 +597,15 @@ fn import_dump(
index_scheduler.refresh_index_stats(&uid)?;
}
// 5. Import the queue
// 6. Import the queue
let mut index_scheduler_dump = index_scheduler.register_dumped_task()?;
// 5.1. Import the batches
// 6.1. Import the batches
for ret in dump_reader.batches()? {
let batch = ret?;
index_scheduler_dump.register_dumped_batch(batch)?;
}
// 5.2. Import the tasks
// 6.2. Import the tasks
for ret in dump_reader.tasks()? {
let (task, file) = ret?;
index_scheduler_dump.register_dumped_task(task, file)?;

View File

@ -15,6 +15,33 @@ lazy_static! {
"Meilisearch number of degraded search requests"
))
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_SEARCH_REQUESTS: IntCounterVec = register_int_counter_vec!(
opts!(
"meilisearch_chat_search_requests",
"Meilisearch number of search requests performed by the chat route itself"
),
&["type"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_PROMPT_TOKENS_USAGE: IntCounterVec = register_int_counter_vec!(
opts!("meilisearch_chat_prompt_tokens_usage", "Meilisearch Chat Prompt Tokens Usage"),
&["workspace", "model"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_COMPLETION_TOKENS_USAGE: IntCounterVec =
register_int_counter_vec!(
opts!(
"meilisearch_chat_completion_tokens_usage",
"Meilisearch Chat Completion Tokens Usage"
),
&["workspace", "model"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_CHAT_TOTAL_TOKENS_USAGE: IntCounterVec = register_int_counter_vec!(
opts!("meilisearch_chat_total_tokens_usage", "Meilisearch Chat Total Tokens Usage"),
&["workspace", "model"]
)
.expect("Can't create a metric");
pub static ref MEILISEARCH_DB_SIZE_BYTES: IntGauge =
register_int_gauge!(opts!("meilisearch_db_size_bytes", "Meilisearch DB Size In Bytes"))
.expect("Can't create a metric");

View File

@ -53,6 +53,8 @@ const MEILI_EXPERIMENTAL_DUMPLESS_UPGRADE: &str = "MEILI_EXPERIMENTAL_DUMPLESS_U
const MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS: &str = "MEILI_EXPERIMENTAL_REPLICATION_PARAMETERS";
const MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE: &str = "MEILI_EXPERIMENTAL_ENABLE_LOGS_ROUTE";
const MEILI_EXPERIMENTAL_CONTAINS_FILTER: &str = "MEILI_EXPERIMENTAL_CONTAINS_FILTER";
const MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS: &str =
"MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS";
const MEILI_EXPERIMENTAL_ENABLE_METRICS: &str = "MEILI_EXPERIMENTAL_ENABLE_METRICS";
const MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE: &str = "MEILI_EXPERIMENTAL_SEARCH_QUEUE_SIZE";
const MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER: &str = "MEILI_EXPERIMENTAL_DROP_SEARCH_AFTER";
@ -62,7 +64,7 @@ const MEILI_EXPERIMENTAL_REDUCE_INDEXING_MEMORY_USAGE: &str =
const MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS: &str =
"MEILI_EXPERIMENTAL_MAX_NUMBER_OF_BATCHED_TASKS";
const MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_TOTAL_SIZE: &str =
"MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_SIZE";
"MEILI_EXPERIMENTAL_LIMIT_BATCHED_TASKS_TOTAL_SIZE";
const MEILI_EXPERIMENTAL_EMBEDDING_CACHE_ENTRIES: &str =
"MEILI_EXPERIMENTAL_EMBEDDING_CACHE_ENTRIES";
const MEILI_EXPERIMENTAL_NO_SNAPSHOT_COMPACTION: &str = "MEILI_EXPERIMENTAL_NO_SNAPSHOT_COMPACTION";
@ -749,12 +751,25 @@ pub struct IndexerOpts {
#[clap(skip)]
#[serde(skip)]
pub skip_index_budget: bool,
/// Experimental no edition 2024 for settings feature. For more information,
/// see: <https://github.com/orgs/meilisearch/discussions/847>
///
/// Enables the experimental no edition 2024 for settings feature.
#[clap(long, env = MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS)]
#[serde(default)]
pub experimental_no_edition_2024_for_settings: bool,
}
impl IndexerOpts {
/// Exports the values to their corresponding env vars if they are not set.
pub fn export_to_env(self) {
let IndexerOpts { max_indexing_memory, max_indexing_threads, skip_index_budget: _ } = self;
let IndexerOpts {
max_indexing_memory,
max_indexing_threads,
skip_index_budget: _,
experimental_no_edition_2024_for_settings,
} = self;
if let Some(max_indexing_memory) = max_indexing_memory.0 {
export_to_env_if_not_present(
MEILI_MAX_INDEXING_MEMORY,
@ -767,6 +782,12 @@ impl IndexerOpts {
max_indexing_threads.to_string(),
);
}
if experimental_no_edition_2024_for_settings {
export_to_env_if_not_present(
MEILI_EXPERIMENTAL_NO_EDITION_2024_FOR_SETTINGS,
experimental_no_edition_2024_for_settings.to_string(),
);
}
}
}
@ -785,7 +806,12 @@ impl TryFrom<&IndexerOpts> for IndexerConfig {
max_threads: *other.max_indexing_threads,
max_positions_per_attributes: None,
skip_index_budget: other.skip_index_budget,
..Default::default()
experimental_no_edition_2024_for_settings: other
.experimental_no_edition_2024_for_settings,
chunk_compression_type: Default::default(),
chunk_compression_level: Default::default(),
documents_chunk_size: Default::default(),
max_nb_chunks: Default::default(),
})
}
}

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@ -0,0 +1,135 @@
use std::collections::BinaryHeap;
use serde_json::{json, Value};
use crate::analytics::Aggregate;
#[derive(Default)]
pub struct ChatCompletionAggregator {
// requests
total_received: usize,
total_succeeded: usize,
time_spent: BinaryHeap<usize>,
// chat completion specific metrics
total_messages: usize,
total_streamed_requests: usize,
total_non_streamed_requests: usize,
// model usage tracking
models_used: std::collections::HashMap<String, usize>,
}
impl ChatCompletionAggregator {
pub fn from_request(model: &str, message_count: usize, is_stream: bool) -> Self {
let mut models_used = std::collections::HashMap::new();
models_used.insert(model.to_string(), 1);
Self {
total_received: 1,
total_succeeded: 0,
time_spent: BinaryHeap::new(),
total_messages: message_count,
total_streamed_requests: if is_stream { 1 } else { 0 },
total_non_streamed_requests: if is_stream { 0 } else { 1 },
models_used,
}
}
pub fn succeed(&mut self, time_spent: std::time::Duration) {
self.total_succeeded += 1;
self.time_spent.push(time_spent.as_millis() as usize);
}
}
impl Aggregate for ChatCompletionAggregator {
fn event_name(&self) -> &'static str {
"Chat Completion POST"
}
fn aggregate(mut self: Box<Self>, new: Box<Self>) -> Box<Self> {
let Self {
total_received,
total_succeeded,
mut time_spent,
total_messages,
total_streamed_requests,
total_non_streamed_requests,
models_used,
..
} = *new;
// Aggregate time spent
self.time_spent.append(&mut time_spent);
// Aggregate counters
self.total_received = self.total_received.saturating_add(total_received);
self.total_succeeded = self.total_succeeded.saturating_add(total_succeeded);
self.total_messages = self.total_messages.saturating_add(total_messages);
self.total_streamed_requests =
self.total_streamed_requests.saturating_add(total_streamed_requests);
self.total_non_streamed_requests =
self.total_non_streamed_requests.saturating_add(total_non_streamed_requests);
// Aggregate model usage
for (model, count) in models_used {
*self.models_used.entry(model).or_insert(0) += count;
}
self
}
fn into_event(self: Box<Self>) -> Value {
let Self {
total_received,
total_succeeded,
time_spent,
total_messages,
total_streamed_requests,
total_non_streamed_requests,
models_used,
..
} = *self;
// Compute time statistics
let time_spent: Vec<usize> = time_spent.into_sorted_vec();
let (max_time, min_time, avg_time) = if time_spent.is_empty() {
(0, 0, 0)
} else {
let max_time = time_spent.last().unwrap_or(&0);
let min_time = time_spent.first().unwrap_or(&0);
let sum: usize = time_spent.iter().sum();
let avg_time = sum / time_spent.len();
(*max_time, *min_time, avg_time)
};
// Compute average messages per request
let avg_messages_per_request =
if total_received > 0 { total_messages as f64 / total_received as f64 } else { 0.0 };
// Compute streaming vs non-streaming proportions
let streaming_ratio = if total_received > 0 {
total_streamed_requests as f64 / total_received as f64
} else {
0.0
};
json!({
"total_received": total_received,
"total_succeeded": total_succeeded,
"time_spent": {
"max": max_time,
"min": min_time,
"avg": avg_time
},
"total_messages": total_messages,
"avg_messages_per_request": avg_messages_per_request,
"total_streamed_requests": total_streamed_requests,
"total_non_streamed_requests": total_non_streamed_requests,
"streaming_ratio": streaming_ratio,
"models_used": models_used,
})
}
}

View File

@ -13,9 +13,9 @@ use async_openai::types::{
ChatCompletionRequestDeveloperMessageContent, ChatCompletionRequestMessage,
ChatCompletionRequestSystemMessage, ChatCompletionRequestSystemMessageContent,
ChatCompletionRequestToolMessage, ChatCompletionRequestToolMessageContent,
ChatCompletionStreamResponseDelta, ChatCompletionToolArgs, ChatCompletionToolType,
CreateChatCompletionRequest, CreateChatCompletionStreamResponse, FinishReason, FunctionCall,
FunctionCallStream, FunctionObjectArgs,
ChatCompletionStreamOptions, ChatCompletionStreamResponseDelta, ChatCompletionToolArgs,
ChatCompletionToolType, CreateChatCompletionRequest, CreateChatCompletionStreamResponse,
FinishReason, FunctionCall, FunctionCallStream, FunctionObjectArgs,
};
use async_openai::Client;
use bumpalo::Bump;
@ -36,6 +36,7 @@ use serde_json::json;
use tokio::runtime::Handle;
use tokio::sync::mpsc::error::SendError;
use super::chat_completion_analytics::ChatCompletionAggregator;
use super::config::Config;
use super::errors::{MistralError, OpenAiOutsideError, StreamErrorEvent};
use super::utils::format_documents;
@ -43,10 +44,15 @@ use super::{
ChatsParam, MEILI_APPEND_CONVERSATION_MESSAGE_NAME, MEILI_SEARCH_IN_INDEX_FUNCTION_NAME,
MEILI_SEARCH_PROGRESS_NAME, MEILI_SEARCH_SOURCES_NAME,
};
use crate::analytics::Analytics;
use crate::error::MeilisearchHttpError;
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::{extract_token_from_request, GuardedData, Policy as _};
use crate::metrics::MEILISEARCH_DEGRADED_SEARCH_REQUESTS;
use crate::metrics::{
MEILISEARCH_CHAT_COMPLETION_TOKENS_USAGE, MEILISEARCH_CHAT_PROMPT_TOKENS_USAGE,
MEILISEARCH_CHAT_SEARCH_REQUESTS, MEILISEARCH_CHAT_TOTAL_TOKENS_USAGE,
MEILISEARCH_DEGRADED_SEARCH_REQUESTS,
};
use crate::routes::chats::utils::SseEventSender;
use crate::routes::indexes::search::search_kind;
use crate::search::{add_search_rules, prepare_search, search_from_kind, SearchQuery};
@ -64,6 +70,7 @@ async fn chat(
req: HttpRequest,
search_queue: web::Data<SearchQueue>,
web::Json(chat_completion): web::Json<CreateChatCompletionRequest>,
analytics: web::Data<Analytics>,
) -> impl Responder {
let ChatsParam { workspace_uid } = chats_param.into_inner();
@ -76,6 +83,7 @@ async fn chat(
&workspace_uid,
req,
chat_completion,
analytics,
)
.await,
)
@ -88,6 +96,7 @@ async fn chat(
&workspace_uid,
req,
chat_completion,
analytics,
)
.await,
)
@ -281,7 +290,7 @@ async fn process_search_request(
let output = output?;
let mut documents = Vec::new();
if let Ok((ref rtxn, ref search_result)) = output {
// aggregate.succeed(search_result);
MEILISEARCH_CHAT_SEARCH_REQUESTS.with_label_values(&["internal"]).inc();
if search_result.degraded {
MEILISEARCH_DEGRADED_SEARCH_REQUESTS.inc();
}
@ -315,9 +324,18 @@ async fn non_streamed_chat(
workspace_uid: &str,
req: HttpRequest,
chat_completion: CreateChatCompletionRequest,
analytics: web::Data<Analytics>,
) -> Result<HttpResponse, ResponseError> {
index_scheduler.features().check_chat_completions("using the /chats chat completions route")?;
// Create analytics aggregator
let aggregate = ChatCompletionAggregator::from_request(
&chat_completion.model,
chat_completion.messages.len(),
false, // non_streamed_chat is not streaming
);
let start_time = std::time::Instant::now();
if let Some(n) = chat_completion.n.filter(|&n| n != 1) {
return Err(ResponseError::from_msg(
format!("You tried to specify n = {n} but only single choices are supported (n = 1)."),
@ -414,6 +432,11 @@ async fn non_streamed_chat(
}
}
// Record success in analytics
let mut aggregate = aggregate;
aggregate.succeed(start_time.elapsed());
analytics.publish(aggregate, &req);
Ok(HttpResponse::Ok().json(response))
}
@ -424,6 +447,7 @@ async fn streamed_chat(
workspace_uid: &str,
req: HttpRequest,
mut chat_completion: CreateChatCompletionRequest,
analytics: web::Data<Analytics>,
) -> Result<impl Responder, ResponseError> {
index_scheduler.features().check_chat_completions("using the /chats chat completions route")?;
let filters = index_scheduler.filters();
@ -445,6 +469,14 @@ async fn streamed_chat(
}
};
// Create analytics aggregator
let mut aggregate = ChatCompletionAggregator::from_request(
&chat_completion.model,
chat_completion.messages.len(),
true, // streamed_chat is always streaming
);
let start_time = std::time::Instant::now();
let config = Config::new(&chat_settings);
let auth_token = extract_token_from_request(&req)?.unwrap().to_string();
let system_role = chat_settings.source.system_role(&chat_completion.model);
@ -460,6 +492,7 @@ async fn streamed_chat(
let (tx, rx) = tokio::sync::mpsc::channel(10);
let tx = SseEventSender::new(tx);
let workspace_uid = workspace_uid.to_string();
let _join_handle = Handle::current().spawn(async move {
let client = Client::with_config(config.clone());
let mut global_tool_calls = HashMap::<u32, Call>::new();
@ -469,6 +502,7 @@ async fn streamed_chat(
let output = run_conversation(
&index_scheduler,
&auth_ctrl,
&workspace_uid,
&search_queue,
&auth_token,
&client,
@ -490,6 +524,10 @@ async fn streamed_chat(
let _ = tx.stop().await;
});
// Record success in analytics after the stream is set up
aggregate.succeed(start_time.elapsed());
analytics.publish(aggregate, &req);
Ok(Sse::from_infallible_receiver(rx).with_retry_duration(Duration::from_secs(10)))
}
@ -502,6 +540,7 @@ async fn run_conversation<C: async_openai::config::Config>(
Data<IndexScheduler>,
>,
auth_ctrl: &web::Data<AuthController>,
workspace_uid: &str,
search_queue: &web::Data<SearchQueue>,
auth_token: &str,
client: &Client<C>,
@ -511,13 +550,34 @@ async fn run_conversation<C: async_openai::config::Config>(
global_tool_calls: &mut HashMap<u32, Call>,
function_support: FunctionSupport,
) -> Result<ControlFlow<Option<FinishReason>, ()>, SendError<Event>> {
use DbChatCompletionSource::*;
let mut finish_reason = None;
chat_completion.stream_options = match source {
OpenAi | AzureOpenAi => Some(ChatCompletionStreamOptions { include_usage: true }),
Mistral | VLlm => None,
};
// safety: unwrap: can only happens if `stream` was set to `false`
let mut response = client.chat().create_stream(chat_completion.clone()).await.unwrap();
while let Some(result) = response.next().await {
match result {
Ok(resp) => {
let choice = &resp.choices[0];
if let Some(usage) = resp.usage.as_ref() {
MEILISEARCH_CHAT_PROMPT_TOKENS_USAGE
.with_label_values(&[workspace_uid, &chat_completion.model])
.inc_by(usage.prompt_tokens as u64);
MEILISEARCH_CHAT_COMPLETION_TOKENS_USAGE
.with_label_values(&[workspace_uid, &chat_completion.model])
.inc_by(usage.completion_tokens as u64);
MEILISEARCH_CHAT_TOTAL_TOKENS_USAGE
.with_label_values(&[workspace_uid, &chat_completion.model])
.inc_by(usage.total_tokens as u64);
}
let choice = match resp.choices.first() {
Some(choice) => choice,
None => break,
};
finish_reason = choice.finish_reason;
let ChatCompletionStreamResponseDelta { ref tool_calls, .. } = &choice.delta;

View File

@ -19,6 +19,7 @@ use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::GuardedData;
use crate::routes::PAGINATION_DEFAULT_LIMIT;
mod chat_completion_analytics;
pub mod chat_completions;
mod config;
mod errors;

View File

@ -0,0 +1,183 @@
use std::collections::BTreeMap;
use std::convert::Infallible;
use std::str::FromStr as _;
use actix_web::web::{self, Data};
use actix_web::{HttpRequest, HttpResponse};
use byte_unit::Byte;
use deserr::actix_web::AwebJson;
use deserr::Deserr;
use index_scheduler::IndexScheduler;
use meilisearch_types::deserr::DeserrJsonError;
use meilisearch_types::error::deserr_codes::*;
use meilisearch_types::error::ResponseError;
use meilisearch_types::index_uid_pattern::IndexUidPattern;
use meilisearch_types::keys::actions;
use meilisearch_types::tasks::{ExportIndexSettings as DbExportIndexSettings, KindWithContent};
use serde::Serialize;
use serde_json::Value;
use tracing::debug;
use utoipa::{OpenApi, ToSchema};
use crate::analytics::Analytics;
use crate::extractors::authentication::policies::ActionPolicy;
use crate::extractors::authentication::GuardedData;
use crate::routes::export_analytics::ExportAnalytics;
use crate::routes::{get_task_id, is_dry_run, SummarizedTaskView};
use crate::Opt;
#[derive(OpenApi)]
#[openapi(
paths(export),
tags((
name = "Export",
description = "The `/export` route allows you to trigger an export process to a remote Meilisearch instance.",
external_docs(url = "https://www.meilisearch.com/docs/reference/api/export"),
)),
)]
pub struct ExportApi;
pub fn configure(cfg: &mut web::ServiceConfig) {
cfg.service(web::resource("").route(web::post().to(export)));
}
#[utoipa::path(
post,
path = "",
tag = "Export",
security(("Bearer" = ["export", "*"])),
responses(
(status = 202, description = "Export successfully enqueued", body = SummarizedTaskView, content_type = "application/json", example = json!(
{
"taskUid": 1,
"status": "enqueued",
"type": "export",
"enqueuedAt": "2021-08-11T09:25:53.000000Z"
})),
(status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
{
"message": "The Authorization header is missing. It must use the bearer authorization method.",
"code": "missing_authorization_header",
"type": "auth",
"link": "https://docs.meilisearch.com/errors#missing_authorization_header"
}
)),
)
)]
async fn export(
index_scheduler: GuardedData<ActionPolicy<{ actions::EXPORT }>, Data<IndexScheduler>>,
export: AwebJson<Export, DeserrJsonError>,
req: HttpRequest,
opt: web::Data<Opt>,
analytics: Data<Analytics>,
) -> Result<HttpResponse, ResponseError> {
let export = export.into_inner();
debug!(returns = ?export, "Trigger export");
let analytics_aggregate = ExportAnalytics::from_export(&export);
let Export { url, api_key, payload_size, indexes } = export;
let indexes = match indexes {
Some(indexes) => indexes
.into_iter()
.map(|(pattern, ExportIndexSettings { filter, override_settings })| {
(pattern, DbExportIndexSettings { filter, override_settings })
})
.collect(),
None => BTreeMap::from([(
IndexUidPattern::new_unchecked("*"),
DbExportIndexSettings::default(),
)]),
};
let task = KindWithContent::Export {
url,
api_key,
payload_size: payload_size.map(|ByteWithDeserr(bytes)| bytes),
indexes,
};
let uid = get_task_id(&req, &opt)?;
let dry_run = is_dry_run(&req, &opt)?;
let task: SummarizedTaskView =
tokio::task::spawn_blocking(move || index_scheduler.register(task, uid, dry_run))
.await??
.into();
analytics.publish(analytics_aggregate, &req);
Ok(HttpResponse::Ok().json(task))
}
#[derive(Debug, Deserr, ToSchema, Serialize)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct Export {
#[schema(value_type = Option<String>, example = json!("https://ms-1234.heaven.meilisearch.com"))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidExportUrl>)]
pub url: String,
#[schema(value_type = Option<String>, example = json!("1234abcd"))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidExportApiKey>)]
pub api_key: Option<String>,
#[schema(value_type = Option<String>, example = json!("24MiB"))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidExportPayloadSize>)]
pub payload_size: Option<ByteWithDeserr>,
#[schema(value_type = Option<BTreeMap<String, ExportIndexSettings>>, example = json!({ "*": { "filter": null } }))]
#[deserr(default)]
#[serde(default)]
pub indexes: Option<BTreeMap<IndexUidPattern, ExportIndexSettings>>,
}
/// A wrapper around the `Byte` type that implements `Deserr`.
#[derive(Debug, Serialize)]
#[serde(transparent)]
pub struct ByteWithDeserr(pub Byte);
impl<E> deserr::Deserr<E> for ByteWithDeserr
where
E: deserr::DeserializeError,
{
fn deserialize_from_value<V: deserr::IntoValue>(
value: deserr::Value<V>,
location: deserr::ValuePointerRef,
) -> Result<Self, E> {
use deserr::{ErrorKind, Value, ValueKind};
match value {
Value::Integer(integer) => Ok(ByteWithDeserr(Byte::from_u64(integer))),
Value::String(string) => Byte::from_str(&string).map(ByteWithDeserr).map_err(|e| {
deserr::take_cf_content(E::error::<Infallible>(
None,
ErrorKind::Unexpected { msg: e.to_string() },
location,
))
}),
actual => Err(deserr::take_cf_content(E::error(
None,
ErrorKind::IncorrectValueKind {
actual,
accepted: &[ValueKind::Integer, ValueKind::String],
},
location,
))),
}
}
}
#[derive(Debug, Deserr, ToSchema, Serialize)]
#[deserr(error = DeserrJsonError, rename_all = camelCase, deny_unknown_fields)]
#[serde(rename_all = "camelCase")]
#[schema(rename_all = "camelCase")]
pub struct ExportIndexSettings {
#[schema(value_type = Option<String>, example = json!("genres = action"))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidExportIndexFilter>)]
pub filter: Option<Value>,
#[schema(value_type = Option<bool>, example = json!(true))]
#[serde(default)]
#[deserr(default, error = DeserrJsonError<InvalidExportIndexOverrideSettings>)]
pub override_settings: bool,
}

View File

@ -0,0 +1,111 @@
use url::Url;
use crate::analytics::Aggregate;
use crate::routes::export::Export;
#[derive(Default)]
pub struct ExportAnalytics {
total_received: usize,
has_api_key: bool,
sum_exports_meilisearch_cloud: usize,
sum_index_patterns: usize,
sum_patterns_with_filter: usize,
sum_patterns_with_override_settings: usize,
payload_sizes: Vec<u64>,
}
impl ExportAnalytics {
pub fn from_export(export: &Export) -> Self {
let Export { url, api_key, payload_size, indexes } = export;
let url = Url::parse(url).ok();
let is_meilisearch_cloud = url.as_ref().and_then(Url::host_str).is_some_and(|host| {
host.ends_with("meilisearch.dev")
|| host.ends_with("meilisearch.com")
|| host.ends_with("meilisearch.io")
});
let has_api_key = api_key.is_some();
let index_patterns_count = indexes.as_ref().map_or(0, |indexes| indexes.len());
let patterns_with_filter_count = indexes.as_ref().map_or(0, |indexes| {
indexes.values().filter(|settings| settings.filter.is_some()).count()
});
let patterns_with_override_settings_count = indexes.as_ref().map_or(0, |indexes| {
indexes.values().filter(|settings| settings.override_settings).count()
});
let payload_sizes =
if let Some(crate::routes::export::ByteWithDeserr(byte_size)) = payload_size {
vec![byte_size.as_u64()]
} else {
vec![]
};
Self {
total_received: 1,
has_api_key,
sum_exports_meilisearch_cloud: is_meilisearch_cloud as usize,
sum_index_patterns: index_patterns_count,
sum_patterns_with_filter: patterns_with_filter_count,
sum_patterns_with_override_settings: patterns_with_override_settings_count,
payload_sizes,
}
}
}
impl Aggregate for ExportAnalytics {
fn event_name(&self) -> &'static str {
"Export Triggered"
}
fn aggregate(mut self: Box<Self>, other: Box<Self>) -> Box<Self> {
self.total_received += other.total_received;
self.has_api_key |= other.has_api_key;
self.sum_exports_meilisearch_cloud += other.sum_exports_meilisearch_cloud;
self.sum_index_patterns += other.sum_index_patterns;
self.sum_patterns_with_filter += other.sum_patterns_with_filter;
self.sum_patterns_with_override_settings += other.sum_patterns_with_override_settings;
self.payload_sizes.extend(other.payload_sizes);
self
}
fn into_event(self: Box<Self>) -> serde_json::Value {
let avg_payload_size = if self.payload_sizes.is_empty() {
None
} else {
Some(self.payload_sizes.iter().sum::<u64>() / self.payload_sizes.len() as u64)
};
let avg_exports_meilisearch_cloud = if self.total_received == 0 {
None
} else {
Some(self.sum_exports_meilisearch_cloud as f64 / self.total_received as f64)
};
let avg_index_patterns = if self.total_received == 0 {
None
} else {
Some(self.sum_index_patterns as f64 / self.total_received as f64)
};
let avg_patterns_with_filter = if self.total_received == 0 {
None
} else {
Some(self.sum_patterns_with_filter as f64 / self.total_received as f64)
};
let avg_patterns_with_override_settings = if self.total_received == 0 {
None
} else {
Some(self.sum_patterns_with_override_settings as f64 / self.total_received as f64)
};
serde_json::json!({
"total_received": self.total_received,
"has_api_key": self.has_api_key,
"avg_exports_meilisearch_cloud": avg_exports_meilisearch_cloud,
"avg_index_patterns": avg_index_patterns,
"avg_patterns_with_filter": avg_patterns_with_filter,
"avg_patterns_with_override_settings": avg_patterns_with_override_settings,
"avg_payload_size": avg_payload_size,
})
}
}

View File

@ -54,6 +54,7 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
get_task_documents_route: Some(false),
composite_embedders: Some(false),
chat_completions: Some(false),
multimodal: Some(false),
})),
(status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
{
@ -100,6 +101,8 @@ pub struct RuntimeTogglableFeatures {
pub composite_embedders: Option<bool>,
#[deserr(default)]
pub chat_completions: Option<bool>,
#[deserr(default)]
pub multimodal: Option<bool>,
}
impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogglableFeatures {
@ -113,6 +116,7 @@ impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogg
get_task_documents_route,
composite_embedders,
chat_completions,
multimodal,
} = value;
Self {
@ -124,6 +128,7 @@ impl From<meilisearch_types::features::RuntimeTogglableFeatures> for RuntimeTogg
get_task_documents_route: Some(get_task_documents_route),
composite_embedders: Some(composite_embedders),
chat_completions: Some(chat_completions),
multimodal: Some(multimodal),
}
}
}
@ -138,6 +143,7 @@ pub struct PatchExperimentalFeatureAnalytics {
get_task_documents_route: bool,
composite_embedders: bool,
chat_completions: bool,
multimodal: bool,
}
impl Aggregate for PatchExperimentalFeatureAnalytics {
@ -155,6 +161,7 @@ impl Aggregate for PatchExperimentalFeatureAnalytics {
get_task_documents_route: new.get_task_documents_route,
composite_embedders: new.composite_embedders,
chat_completions: new.chat_completions,
multimodal: new.multimodal,
})
}
@ -181,6 +188,7 @@ impl Aggregate for PatchExperimentalFeatureAnalytics {
get_task_documents_route: Some(false),
composite_embedders: Some(false),
chat_completions: Some(false),
multimodal: Some(false),
})),
(status = 401, description = "The authorization header is missing", body = ResponseError, content_type = "application/json", example = json!(
{
@ -223,6 +231,7 @@ async fn patch_features(
.composite_embedders
.unwrap_or(old_features.composite_embedders),
chat_completions: new_features.0.chat_completions.unwrap_or(old_features.chat_completions),
multimodal: new_features.0.multimodal.unwrap_or(old_features.multimodal),
};
// explicitly destructure for analytics rather than using the `Serialize` implementation, because
@ -237,6 +246,7 @@ async fn patch_features(
get_task_documents_route,
composite_embedders,
chat_completions,
multimodal,
} = new_features;
analytics.publish(
@ -249,6 +259,7 @@ async fn patch_features(
get_task_documents_route,
composite_embedders,
chat_completions,
multimodal,
},
&req,
);

View File

@ -1445,7 +1445,6 @@ fn some_documents<'a, 't: 'a>(
) -> Result<impl Iterator<Item = Result<Document, ResponseError>> + 'a, ResponseError> {
let fields_ids_map = index.fields_ids_map(rtxn)?;
let all_fields: Vec<_> = fields_ids_map.iter().map(|(id, _)| id).collect();
let embedding_configs = index.embedding_configs(rtxn)?;
Ok(index.iter_documents(rtxn, doc_ids)?.map(move |ret| {
ret.map_err(ResponseError::from).and_then(|(key, document)| -> Result<_, ResponseError> {
@ -1461,15 +1460,9 @@ fn some_documents<'a, 't: 'a>(
Some(Value::Object(map)) => map,
_ => Default::default(),
};
for (name, vector) in index.embeddings(rtxn, key)? {
let user_provided = embedding_configs
.iter()
.find(|conf| conf.name == name)
.is_some_and(|conf| conf.user_provided.contains(key));
let embeddings = ExplicitVectors {
embeddings: Some(vector.into()),
regenerate: !user_provided,
};
for (name, (vector, regenerate)) in index.embeddings(rtxn, key)? {
let embeddings =
ExplicitVectors { embeddings: Some(vector.into()), regenerate };
vectors.insert(
name,
serde_json::to_value(embeddings).map_err(MeilisearchHttpError::from)?,

View File

@ -56,6 +56,8 @@ pub struct FacetSearchQuery {
pub q: Option<String>,
#[deserr(default, error = DeserrJsonError<InvalidSearchVector>)]
pub vector: Option<Vec<f32>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchMedia>)]
pub media: Option<Value>,
#[deserr(default, error = DeserrJsonError<InvalidSearchHybridQuery>)]
pub hybrid: Option<HybridQuery>,
#[deserr(default, error = DeserrJsonError<InvalidSearchFilter>)]
@ -94,6 +96,7 @@ impl FacetSearchAggregator {
facet_name,
vector,
q,
media,
filter,
matching_strategy,
attributes_to_search_on,
@ -108,6 +111,7 @@ impl FacetSearchAggregator {
facet_names: Some(facet_name.clone()).into_iter().collect(),
additional_search_parameters_provided: q.is_some()
|| vector.is_some()
|| media.is_some()
|| filter.is_some()
|| *matching_strategy != MatchingStrategy::default()
|| attributes_to_search_on.is_some()
@ -291,6 +295,7 @@ impl From<FacetSearchQuery> for SearchQuery {
facet_name: _,
q,
vector,
media,
filter,
matching_strategy,
attributes_to_search_on,
@ -312,6 +317,7 @@ impl From<FacetSearchQuery> for SearchQuery {
SearchQuery {
q,
media,
offset: DEFAULT_SEARCH_OFFSET(),
limit: DEFAULT_SEARCH_LIMIT(),
page,

View File

@ -205,6 +205,8 @@ impl TryFrom<SearchQueryGet> for SearchQuery {
Ok(Self {
q: other.q,
// `media` not supported for `GET`
media: None,
vector: other.vector.map(CS::into_inner),
offset: other.offset.0,
limit: other.limit.0,
@ -481,28 +483,30 @@ pub fn search_kind(
index_uid: String,
index: &milli::Index,
) -> Result<SearchKind, ResponseError> {
let is_placeholder_query =
if let Some(q) = query.q.as_deref() { q.trim().is_empty() } else { true };
let non_placeholder_query = !is_placeholder_query;
let is_media = query.media.is_some();
// handle with care, the order of cases matters, the semantics is subtle
match (query.q.as_deref(), &query.hybrid, query.vector.as_deref()) {
// empty query, no vector => placeholder search
(Some(q), _, None) if q.trim().is_empty() => Ok(SearchKind::KeywordOnly),
// no query, no vector => placeholder search
(None, _, None) => Ok(SearchKind::KeywordOnly),
// hybrid.semantic_ratio == 1.0 => vector
(_, Some(HybridQuery { semantic_ratio, embedder }), v) if **semantic_ratio == 1.0 => {
SearchKind::semantic(index_scheduler, index_uid, index, embedder, v.map(|v| v.len()))
}
// hybrid.semantic_ratio == 0.0 => keyword
(_, Some(HybridQuery { semantic_ratio, embedder: _ }), _) if **semantic_ratio == 0.0 => {
match (is_media, non_placeholder_query, &query.hybrid, query.vector.as_deref()) {
// media + vector => error
(true, _, _, Some(_)) => Err(MeilisearchHttpError::MediaAndVector.into()),
// media + !hybrid => error
(true, _, None, _) => Err(MeilisearchHttpError::MissingSearchHybrid.into()),
// vector + !hybrid => error
(_, _, None, Some(_)) => Err(MeilisearchHttpError::MissingSearchHybrid.into()),
// hybrid S0 => keyword
(_, _, Some(HybridQuery { semantic_ratio, embedder: _ }), _) if **semantic_ratio == 0.0 => {
Ok(SearchKind::KeywordOnly)
}
// no query, hybrid, vector => semantic
(None, Some(HybridQuery { semantic_ratio: _, embedder }), Some(v)) => {
SearchKind::semantic(index_scheduler, index_uid, index, embedder, Some(v.len()))
// !q + !vector => placeholder search
(false, false, _, None) => Ok(SearchKind::KeywordOnly),
// hybrid S100 => semantic
(_, _, Some(HybridQuery { semantic_ratio, embedder }), v) if **semantic_ratio == 1.0 => {
SearchKind::semantic(index_scheduler, index_uid, index, embedder, v.map(|v| v.len()))
}
// query, no hybrid, no vector => keyword
(Some(_), None, None) => Ok(SearchKind::KeywordOnly),
// query, hybrid, maybe vector => hybrid
(Some(_), Some(HybridQuery { semantic_ratio, embedder }), v) => SearchKind::hybrid(
// q + hybrid => hybrid
(_, true, Some(HybridQuery { semantic_ratio, embedder }), v) => SearchKind::hybrid(
index_scheduler,
index_uid,
index,
@ -510,7 +514,11 @@ pub fn search_kind(
**semantic_ratio,
v.map(|v| v.len()),
),
(_, None, Some(_)) => Err(MeilisearchHttpError::MissingSearchHybrid.into()),
// !q + hybrid => semantic
(_, false, Some(HybridQuery { semantic_ratio: _, embedder }), v) => {
SearchKind::semantic(index_scheduler, index_uid, index, embedder, v.map(|v| v.len()))
}
// q => keyword
(false, true, None, None) => Ok(SearchKind::KeywordOnly),
}
}

View File

@ -61,6 +61,8 @@ pub struct SearchAggregator<Method: AggregateMethod> {
semantic_ratio: bool,
hybrid: bool,
retrieve_vectors: bool,
// Number of requests containing `media`
total_media: usize,
// every time a search is done, we increment the counter linked to the used settings
matching_strategy: HashMap<String, usize>,
@ -101,6 +103,7 @@ impl<Method: AggregateMethod> SearchAggregator<Method> {
let SearchQuery {
q,
vector,
media,
offset,
limit,
page,
@ -175,6 +178,11 @@ impl<Method: AggregateMethod> SearchAggregator<Method> {
if let Some(ref vector) = vector {
ret.max_vector_size = vector.len();
}
if media.is_some() {
ret.total_media = 1;
}
ret.retrieve_vectors |= retrieve_vectors;
if query.is_finite_pagination() {
@ -277,6 +285,7 @@ impl<Method: AggregateMethod> Aggregate for SearchAggregator<Method> {
show_ranking_score_details,
semantic_ratio,
hybrid,
total_media,
total_degraded,
total_used_negative_operator,
ranking_score_threshold,
@ -327,6 +336,7 @@ impl<Method: AggregateMethod> Aggregate for SearchAggregator<Method> {
self.retrieve_vectors |= retrieve_vectors;
self.semantic_ratio |= semantic_ratio;
self.hybrid |= hybrid;
self.total_media += total_media;
// pagination
self.max_limit = self.max_limit.max(max_limit);
@ -403,6 +413,7 @@ impl<Method: AggregateMethod> Aggregate for SearchAggregator<Method> {
show_ranking_score_details,
semantic_ratio,
hybrid,
total_media,
total_degraded,
total_used_negative_operator,
ranking_score_threshold,
@ -450,6 +461,7 @@ impl<Method: AggregateMethod> Aggregate for SearchAggregator<Method> {
"hybrid": {
"enabled": hybrid,
"semantic_ratio": semantic_ratio,
"total_media": total_media,
},
"pagination": {
"max_limit": max_limit,

View File

@ -755,6 +755,14 @@ fn validate_settings(
if matches!(embedder.indexing_embedder, Setting::Set(_)) {
features.check_composite_embedders("setting `indexingEmbedder`")?;
}
if matches!(embedder.indexing_fragments, Setting::Set(_)) {
features.check_multimodal("setting `indexingFragments`")?;
}
if matches!(embedder.search_fragments, Setting::Set(_)) {
features.check_multimodal("setting `searchFragments`")?;
}
}
}

View File

@ -2,6 +2,7 @@ use std::collections::BTreeMap;
use actix_web::web::Data;
use actix_web::{web, HttpRequest, HttpResponse};
use export::Export;
use index_scheduler::IndexScheduler;
use meilisearch_auth::AuthController;
use meilisearch_types::batch_view::BatchView;
@ -54,6 +55,8 @@ mod api_key;
pub mod batches;
pub mod chats;
mod dump;
mod export;
mod export_analytics;
pub mod features;
pub mod indexes;
mod logs;
@ -84,6 +87,7 @@ mod tasks_test;
(path = "/multi-search", api = multi_search::MultiSearchApi),
(path = "/swap-indexes", api = swap_indexes::SwapIndexesApi),
(path = "/experimental-features", api = features::ExperimentalFeaturesApi),
(path = "/export", api = export::ExportApi),
(path = "/network", api = network::NetworkApi),
),
paths(get_health, get_version, get_stats),
@ -95,7 +99,7 @@ mod tasks_test;
url = "/",
description = "Local server",
)),
components(schemas(PaginationView<KeyView>, PaginationView<IndexView>, IndexView, DocumentDeletionByFilter, AllBatches, BatchStats, ProgressStepView, ProgressView, BatchView, RuntimeTogglableFeatures, SwapIndexesPayload, DocumentEditionByFunction, MergeFacets, FederationOptions, SearchQueryWithIndex, Federation, FederatedSearch, FederatedSearchResult, SearchResults, SearchResultWithIndex, SimilarQuery, SimilarResult, PaginationView<serde_json::Value>, BrowseQuery, UpdateIndexRequest, IndexUid, IndexCreateRequest, KeyView, Action, CreateApiKey, UpdateStderrLogs, LogMode, GetLogs, IndexStats, Stats, HealthStatus, HealthResponse, VersionResponse, Code, ErrorType, AllTasks, TaskView, Status, DetailsView, ResponseError, Settings<Unchecked>, Settings<Checked>, TypoSettings, MinWordSizeTyposSetting, FacetingSettings, PaginationSettings, SummarizedTaskView, Kind, Network, Remote, FilterableAttributesRule, FilterableAttributesPatterns, AttributePatterns, FilterableAttributesFeatures, FilterFeatures))
components(schemas(PaginationView<KeyView>, PaginationView<IndexView>, IndexView, DocumentDeletionByFilter, AllBatches, BatchStats, ProgressStepView, ProgressView, BatchView, RuntimeTogglableFeatures, SwapIndexesPayload, DocumentEditionByFunction, MergeFacets, FederationOptions, SearchQueryWithIndex, Federation, FederatedSearch, FederatedSearchResult, SearchResults, SearchResultWithIndex, SimilarQuery, SimilarResult, PaginationView<serde_json::Value>, BrowseQuery, UpdateIndexRequest, IndexUid, IndexCreateRequest, KeyView, Action, CreateApiKey, UpdateStderrLogs, LogMode, GetLogs, IndexStats, Stats, HealthStatus, HealthResponse, VersionResponse, Code, ErrorType, AllTasks, TaskView, Status, DetailsView, ResponseError, Settings<Unchecked>, Settings<Checked>, TypoSettings, MinWordSizeTyposSetting, FacetingSettings, PaginationSettings, SummarizedTaskView, Kind, Network, Remote, FilterableAttributesRule, FilterableAttributesPatterns, AttributePatterns, FilterableAttributesFeatures, FilterFeatures, Export))
)]
pub struct MeilisearchApi;
@ -115,6 +119,7 @@ pub fn configure(cfg: &mut web::ServiceConfig) {
.service(web::scope("/metrics").configure(metrics::configure))
.service(web::scope("/experimental-features").configure(features::configure))
.service(web::scope("/network").configure(network::configure))
.service(web::scope("/export").configure(export::configure))
.service(web::scope("/chats").configure(chats::configure));
#[cfg(feature = "swagger")]

View File

@ -42,6 +42,7 @@ impl MultiSearchAggregator {
federation_options,
q: _,
vector: _,
media: _,
offset: _,
limit: _,
page: _,

View File

@ -228,7 +228,7 @@ mod tests {
let err = deserr_query_params::<TaskDeletionOrCancelationQuery>(params).unwrap_err();
snapshot!(meili_snap::json_string!(err), @r#"
{
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `upgradeDatabase`.",
"message": "Invalid value in parameter `types`: `createIndex` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"

View File

@ -64,6 +64,8 @@ pub struct SearchQuery {
pub q: Option<String>,
#[deserr(default, error = DeserrJsonError<InvalidSearchVector>)]
pub vector: Option<Vec<f32>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchMedia>)]
pub media: Option<serde_json::Value>,
#[deserr(default, error = DeserrJsonError<InvalidSearchHybridQuery>)]
pub hybrid: Option<HybridQuery>,
#[deserr(default = DEFAULT_SEARCH_OFFSET(), error = DeserrJsonError<InvalidSearchOffset>)]
@ -147,6 +149,7 @@ impl From<SearchParameters> for SearchQuery {
ranking_score_threshold: ranking_score_threshold.map(RankingScoreThreshold::from),
q: None,
vector: None,
media: None,
offset: DEFAULT_SEARCH_OFFSET(),
page: None,
hits_per_page: None,
@ -220,6 +223,7 @@ impl fmt::Debug for SearchQuery {
let Self {
q,
vector,
media,
hybrid,
offset,
limit,
@ -274,6 +278,9 @@ impl fmt::Debug for SearchQuery {
);
}
}
if let Some(media) = media {
debug.field("media", media);
}
if let Some(hybrid) = hybrid {
debug.field("hybrid", &hybrid);
}
@ -399,10 +406,10 @@ impl SearchKind {
route: Route,
) -> Result<(String, Arc<Embedder>, bool), ResponseError> {
let rtxn = index.read_txn()?;
let embedder_configs = index.embedding_configs(&rtxn)?;
let embedder_configs = index.embedding_configs().embedding_configs(&rtxn)?;
let embedders = index_scheduler.embedders(index_uid, embedder_configs)?;
let (embedder, _, quantized) = embedders
let (embedder, quantized) = embedders
.get(embedder_name)
.ok_or(match route {
Route::Search | Route::MultiSearch => {
@ -412,6 +419,7 @@ impl SearchKind {
milli::UserError::InvalidSimilarEmbedder(embedder_name.to_owned())
}
})
.map(|runtime| (runtime.embedder.clone(), runtime.is_quantized))
.map_err(milli::Error::from)?;
if let Some(vector_len) = vector_len {
@ -481,8 +489,10 @@ pub struct SearchQueryWithIndex {
pub index_uid: IndexUid,
#[deserr(default, error = DeserrJsonError<InvalidSearchQ>)]
pub q: Option<String>,
#[deserr(default, error = DeserrJsonError<InvalidSearchQ>)]
#[deserr(default, error = DeserrJsonError<InvalidSearchVector>)]
pub vector: Option<Vec<f32>>,
#[deserr(default, error = DeserrJsonError<InvalidSearchMedia>)]
pub media: Option<serde_json::Value>,
#[deserr(default, error = DeserrJsonError<InvalidSearchHybridQuery>)]
pub hybrid: Option<HybridQuery>,
#[deserr(default, error = DeserrJsonError<InvalidSearchOffset>)]
@ -563,6 +573,7 @@ impl SearchQueryWithIndex {
let SearchQuery {
q,
vector,
media,
hybrid,
offset,
limit,
@ -593,6 +604,7 @@ impl SearchQueryWithIndex {
index_uid,
q,
vector,
media,
hybrid,
offset: if offset == DEFAULT_SEARCH_OFFSET() { None } else { Some(offset) },
limit: if limit == DEFAULT_SEARCH_LIMIT() { None } else { Some(limit) },
@ -627,6 +639,7 @@ impl SearchQueryWithIndex {
federation_options,
q,
vector,
media,
offset,
limit,
page,
@ -657,6 +670,7 @@ impl SearchQueryWithIndex {
SearchQuery {
q,
vector,
media,
offset: offset.unwrap_or(DEFAULT_SEARCH_OFFSET()),
limit: limit.unwrap_or(DEFAULT_SEARCH_LIMIT()),
page,
@ -958,6 +972,9 @@ pub fn prepare_search<'t>(
time_budget: TimeBudget,
features: RoFeatures,
) -> Result<(milli::Search<'t>, bool, usize, usize), ResponseError> {
if query.media.is_some() {
features.check_multimodal("passing `media` in a search query")?;
}
let mut search = index.search(rtxn);
search.time_budget(time_budget);
if let Some(ranking_score_threshold) = query.ranking_score_threshold {
@ -983,14 +1000,27 @@ pub fn prepare_search<'t>(
let deadline = std::time::Instant::now() + std::time::Duration::from_secs(10);
let q = query.q.as_deref();
let media = query.media.as_ref();
let search_query = match (q, media) {
(Some(text), None) => milli::vector::SearchQuery::Text(text),
(q, media) => milli::vector::SearchQuery::Media { q, media },
};
embedder
.embed_search(query.q.as_ref().unwrap(), Some(deadline))
.embed_search(search_query, Some(deadline))
.map_err(milli::vector::Error::from)
.map_err(milli::Error::from)?
}
};
search.semantic(embedder_name.clone(), embedder.clone(), *quantized, Some(vector));
search.semantic(
embedder_name.clone(),
embedder.clone(),
*quantized,
Some(vector),
query.media.clone(),
);
}
SearchKind::Hybrid { embedder_name, embedder, quantized, semantic_ratio: _ } => {
if let Some(q) = &query.q {
@ -1002,6 +1032,7 @@ pub fn prepare_search<'t>(
embedder.clone(),
*quantized,
query.vector.clone(),
query.media.clone(),
);
}
}
@ -1126,6 +1157,7 @@ pub fn perform_search(
locales,
// already used in prepare_search
vector: _,
media: _,
hybrid: _,
offset: _,
ranking_score_threshold: _,
@ -1328,7 +1360,6 @@ struct HitMaker<'a> {
vectors_fid: Option<FieldId>,
retrieve_vectors: RetrieveVectors,
to_retrieve_ids: BTreeSet<FieldId>,
embedding_configs: Vec<index::IndexEmbeddingConfig>,
formatter_builder: MatcherBuilder<'a>,
formatted_options: BTreeMap<FieldId, FormatOptions>,
show_ranking_score: bool,
@ -1443,8 +1474,6 @@ impl<'a> HitMaker<'a> {
&displayed_ids,
);
let embedding_configs = index.embedding_configs(rtxn)?;
Ok(Self {
index,
rtxn,
@ -1453,7 +1482,6 @@ impl<'a> HitMaker<'a> {
vectors_fid,
retrieve_vectors,
to_retrieve_ids,
embedding_configs,
formatter_builder,
formatted_options,
show_ranking_score: format.show_ranking_score,
@ -1499,14 +1527,8 @@ impl<'a> HitMaker<'a> {
Some(Value::Object(map)) => map,
_ => Default::default(),
};
for (name, vector) in self.index.embeddings(self.rtxn, id)? {
let user_provided = self
.embedding_configs
.iter()
.find(|conf| conf.name == name)
.is_some_and(|conf| conf.user_provided.contains(id));
let embeddings =
ExplicitVectors { embeddings: Some(vector.into()), regenerate: !user_provided };
for (name, (vector, regenerate)) in self.index.embeddings(self.rtxn, id)? {
let embeddings = ExplicitVectors { embeddings: Some(vector.into()), regenerate };
vectors.insert(
name,
serde_json::to_value(embeddings).map_err(InternalError::SerdeJson)?,

View File

@ -419,14 +419,14 @@ async fn error_add_api_key_invalid_parameters_actions() {
let (response, code) = server.add_api_key(content).await;
meili_snap::snapshot!(code, @"400 Bad Request");
meili_snap::snapshot!(meili_snap::json_string!(response, { ".createdAt" => "[ignored]", ".updatedAt" => "[ignored]" }), @r###"
meili_snap::snapshot!(meili_snap::json_string!(response, { ".createdAt" => "[ignored]", ".updatedAt" => "[ignored]" }), @r#"
{
"message": "Unknown value `doc.add` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"message": "Unknown value `doc.add` at `.actions[0]`: expected one of `*`, `*.get`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `export`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"code": "invalid_api_key_actions",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_api_key_actions"
}
"###);
"#);
}
#[actix_rt::test]
@ -790,7 +790,7 @@ async fn list_api_keys() {
meili_snap::snapshot!(code, @"201 Created");
let (response, code) = server.list_api_keys("").await;
meili_snap::snapshot!(meili_snap::json_string!(response, { ".results[].createdAt" => "[ignored]", ".results[].updatedAt" => "[ignored]", ".results[].uid" => "[ignored]", ".results[].key" => "[ignored]" }), @r###"
meili_snap::snapshot!(meili_snap::json_string!(response, { ".results[].createdAt" => "[ignored]", ".results[].updatedAt" => "[ignored]", ".results[].uid" => "[ignored]", ".results[].key" => "[ignored]" }), @r#"
{
"results": [
{
@ -850,6 +850,22 @@ async fn list_api_keys() {
"createdAt": "[ignored]",
"updatedAt": "[ignored]"
},
{
"name": "Default Read-Only Admin API Key",
"description": "Use it to read information across the whole database. Caution! Do not expose this key on a public frontend",
"key": "[ignored]",
"uid": "[ignored]",
"actions": [
"*.get",
"keys.get"
],
"indexes": [
"*"
],
"expiresAt": null,
"createdAt": "[ignored]",
"updatedAt": "[ignored]"
},
{
"name": "Default Chat API Key",
"description": "Use it to chat and search from the frontend",
@ -869,9 +885,9 @@ async fn list_api_keys() {
],
"offset": 0,
"limit": 20,
"total": 4
"total": 5
}
"###);
"#);
meili_snap::snapshot!(code, @"200 OK");
}

View File

@ -91,14 +91,14 @@ async fn create_api_key_bad_actions() {
// can't parse
let (response, code) = server.add_api_key(json!({ "actions": ["doggo"] })).await;
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r###"
snapshot!(json_string!(response), @r#"
{
"message": "Unknown value `doggo` at `.actions[0]`: expected one of `*`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"message": "Unknown value `doggo` at `.actions[0]`: expected one of `*`, `*.get`, `search`, `documents.*`, `documents.add`, `documents.get`, `documents.delete`, `indexes.*`, `indexes.create`, `indexes.get`, `indexes.update`, `indexes.delete`, `indexes.swap`, `tasks.*`, `tasks.cancel`, `tasks.delete`, `tasks.get`, `settings.*`, `settings.get`, `settings.update`, `stats.*`, `stats.get`, `metrics.*`, `metrics.get`, `dumps.*`, `dumps.create`, `snapshots.*`, `snapshots.create`, `version`, `keys.create`, `keys.get`, `keys.update`, `keys.delete`, `experimental.get`, `experimental.update`, `export`, `network.get`, `network.update`, `chatCompletions`, `chats.*`, `chats.get`, `chats.delete`, `chatsSettings.*`, `chatsSettings.get`, `chatsSettings.update`",
"code": "invalid_api_key_actions",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_api_key_actions"
}
"###);
"#);
}
#[actix_rt::test]

View File

@ -42,7 +42,7 @@ async fn batch_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `upgradeDatabase`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"

View File

@ -97,6 +97,7 @@ impl Server<Owned> {
self.use_api_key(master_key);
let (response, code) = self.list_api_keys("").await;
assert_eq!(200, code, "{:?}", response);
// TODO: relying on the order of keys is not ideal, we should use the name instead
let admin_key = &response["results"][1]["key"];
self.use_api_key(admin_key.as_str().unwrap());
}
@ -464,6 +465,7 @@ pub fn default_settings(dir: impl AsRef<Path>) -> Opt {
skip_index_budget: true,
// Having 2 threads makes the tests way faster
max_indexing_threads: MaxThreads::from_str("2").unwrap(),
experimental_no_edition_2024_for_settings: false,
},
experimental_enable_metrics: false,
..Parser::parse_from(None as Option<&str>)

View File

@ -2188,7 +2188,8 @@ async fn import_dump_v6_containing_experimental_features() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -2314,7 +2315,8 @@ async fn import_dump_v6_containing_batches_and_enqueued_tasks() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -2420,7 +2422,8 @@ async fn generate_and_import_dump_containing_vectors() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);

View File

@ -25,7 +25,8 @@ async fn experimental_features() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -41,7 +42,8 @@ async fn experimental_features() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -57,7 +59,8 @@ async fn experimental_features() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -74,7 +77,8 @@ async fn experimental_features() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -91,7 +95,8 @@ async fn experimental_features() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
}
@ -115,7 +120,8 @@ async fn experimental_feature_metrics() {
"network": false,
"getTaskDocumentsRoute": false,
"compositeEmbedders": false,
"chatCompletions": false
"chatCompletions": false,
"multimodal": false
}
"###);
@ -162,7 +168,7 @@ async fn errors() {
meili_snap::snapshot!(code, @"400 Bad Request");
meili_snap::snapshot!(meili_snap::json_string!(response), @r###"
{
"message": "Unknown field `NotAFeature`: expected one of `metrics`, `logsRoute`, `editDocumentsByFunction`, `containsFilter`, `network`, `getTaskDocumentsRoute`, `compositeEmbedders`, `chatCompletions`",
"message": "Unknown field `NotAFeature`: expected one of `metrics`, `logsRoute`, `editDocumentsByFunction`, `containsFilter`, `network`, `getTaskDocumentsRoute`, `compositeEmbedders`, `chatCompletions`, `multimodal`",
"code": "bad_request",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#bad_request"

View File

@ -1,5 +1,4 @@
use crate::common::{shared_does_not_exists_index, Server};
use crate::json;
#[actix_rt::test]

View File

@ -499,7 +499,7 @@ async fn query_combination() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Invalid request: missing `hybrid` parameter when `vector` is present.",
"message": "Invalid request: missing `hybrid` parameter when `vector` or `media` are present.",
"code": "missing_search_hybrid",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#missing_search_hybrid"

View File

@ -247,6 +247,20 @@ async fn get_settings() {
assert_eq!(settings["prefixSearch"], json!("indexingTime"));
assert_eq!(settings["facetSearch"], json!(true));
assert_eq!(settings["embedders"], json!({}));
assert_eq!(settings["synonyms"], json!({}));
assert_eq!(
settings["typoTolerance"],
json!({
"enabled": true,
"minWordSizeForTypos": {
"oneTypo": 5,
"twoTypos": 9
},
"disableOnWords": [],
"disableOnAttributes": [],
"disableOnNumbers": false
})
);
}
#[actix_rt::test]
@ -426,8 +440,15 @@ async fn reset_all_settings() {
assert_eq!(code, 202);
server.wait_task(response.uid()).await.succeeded();
let (update_task,_status_code) = index
.update_settings(json!({"displayedAttributes": ["name", "age"], "searchableAttributes": ["name"], "stopWords": ["the"], "filterableAttributes": ["age"], "synonyms": {"puppy": ["dog", "doggo", "potat"] }}))
let (update_task, _status_code) = index
.update_settings(json!({
"displayedAttributes": ["name", "age"],
"searchableAttributes": ["name"],
"stopWords": ["the"],
"filterableAttributes": ["age"],
"synonyms": {"puppy": ["dog", "doggo", "potat"] },
"typoTolerance": {"disableOnNumbers": true}
}))
.await;
server.wait_task(update_task.uid()).await.succeeded();
let (response, code) = index.settings().await;
@ -437,6 +458,19 @@ async fn reset_all_settings() {
assert_eq!(response["stopWords"], json!(["the"]));
assert_eq!(response["synonyms"], json!({"puppy": ["dog", "doggo", "potat"] }));
assert_eq!(response["filterableAttributes"], json!(["age"]));
assert_eq!(
response["typoTolerance"],
json!({
"enabled": true,
"minWordSizeForTypos": {
"oneTypo": 5,
"twoTypos": 9
},
"disableOnWords": [],
"disableOnAttributes": [],
"disableOnNumbers": true
})
);
let (delete_task, _status_code) = index.delete_settings().await;
server.wait_task(delete_task.uid()).await.succeeded();
@ -448,6 +482,19 @@ async fn reset_all_settings() {
assert_eq!(response["stopWords"], json!([]));
assert_eq!(response["filterableAttributes"], json!([]));
assert_eq!(response["synonyms"], json!({}));
assert_eq!(
response["typoTolerance"],
json!({
"enabled": true,
"minWordSizeForTypos": {
"oneTypo": 5,
"twoTypos": 9
},
"disableOnWords": [],
"disableOnAttributes": [],
"disableOnNumbers": false
})
);
let (response, code) = index.get_document(1, None).await;
assert_eq!(code, 200);
@ -645,3 +692,68 @@ async fn granular_filterable_attributes() {
]
"###);
}
#[actix_rt::test]
async fn test_searchable_attributes_order() {
let server = Server::new_shared();
let index = server.unique_index();
// 1) Create an index with settings "searchableAttributes": ["title", "overview"]
let (response, code) = index.create(None).await;
assert_eq!(code, 202, "{response}");
server.wait_task(response.uid()).await.succeeded();
let (task, code) = index
.update_settings(json!({
"searchableAttributes": ["title", "overview"]
}))
.await;
assert_eq!(code, 202, "{task}");
server.wait_task(task.uid()).await.succeeded();
// 2) Add documents in the index
let documents = json!([
{
"id": 1,
"title": "The Matrix",
"overview": "A computer hacker learns from mysterious rebels about the true nature of his reality."
},
{
"id": 2,
"title": "Inception",
"overview": "A thief who steals corporate secrets through dream-sharing technology."
}
]);
let (response, code) = index.add_documents(documents, None).await;
assert_eq!(code, 202, "{response}");
server.wait_task(response.uid()).await.succeeded();
// 3) Modify the settings "searchableAttributes": ["overview", "title"] (overview is put first)
let (task, code) = index
.update_settings(json!({
"searchableAttributes": ["overview", "title"]
}))
.await;
assert_eq!(code, 202, "{task}");
server.wait_task(task.uid()).await.succeeded();
// 4) Check if it has been applied
let (response, code) = index.settings().await;
assert_eq!(code, 200, "{response}");
assert_eq!(response["searchableAttributes"], json!(["overview", "title"]));
// 5) Re-modify the settings "searchableAttributes": ["title", "overview"] (title is put first)
let (task, code) = index
.update_settings(json!({
"searchableAttributes": ["title", "overview"]
}))
.await;
assert_eq!(code, 202, "{task}");
server.wait_task(task.uid()).await.succeeded();
// 6) Check if it has been applied
let (response, code) = index.settings().await;
assert_eq!(code, 200, "{response}");
assert_eq!(response["searchableAttributes"], json!(["title", "overview"]));
}

View File

@ -97,7 +97,7 @@ async fn task_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `upgradeDatabase`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
@ -108,7 +108,7 @@ async fn task_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `upgradeDatabase`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"
@ -119,7 +119,7 @@ async fn task_bad_types() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `upgradeDatabase`.",
"message": "Invalid value in parameter `types`: `doggo` is not a valid task type. Available types are `documentAdditionOrUpdate`, `documentEdition`, `documentDeletion`, `settingsUpdate`, `indexCreation`, `indexDeletion`, `indexUpdate`, `indexSwap`, `taskCancelation`, `taskDeletion`, `dumpCreation`, `snapshotCreation`, `export`, `upgradeDatabase`.",
"code": "invalid_task_types",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_task_types"

View File

@ -43,7 +43,7 @@ async fn version_too_old() {
std::fs::write(db_path.join("VERSION"), "1.11.9999").unwrap();
let options = Opt { experimental_dumpless_upgrade: true, ..default_settings };
let err = Server::new_with_options(options).await.map(|_| ()).unwrap_err();
snapshot!(err, @"Database version 1.11.9999 is too old for the experimental dumpless upgrade feature. Please generate a dump using the v1.11.9999 and import it in the v1.15.2");
snapshot!(err, @"Database version 1.11.9999 is too old for the experimental dumpless upgrade feature. Please generate a dump using the v1.11.9999 and import it in the v1.16.0");
}
#[actix_rt::test]
@ -58,7 +58,7 @@ async fn version_requires_downgrade() {
std::fs::write(db_path.join("VERSION"), format!("{major}.{minor}.{patch}")).unwrap();
let options = Opt { experimental_dumpless_upgrade: true, ..default_settings };
let err = Server::new_with_options(options).await.map(|_| ()).unwrap_err();
snapshot!(err, @"Database version 1.15.3 is higher than the Meilisearch version 1.15.2. Downgrade is not supported");
snapshot!(err, @"Database version 1.16.1 is higher than the Meilisearch version 1.16.0. Downgrade is not supported");
}
#[actix_rt::test]

View File

@ -61,7 +61,16 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"pagination": {
"maxTotalHits": 15
},
"embedders": {},
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"pooling": "forceMean",
"documentTemplate": "{{doc.description}}",
"documentTemplateMaxBytes": 400
}
},
"searchCutoffMs": 8000,
"localizedAttributes": [
{

View File

@ -0,0 +1,40 @@
---
source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
---
[
{
"id": 1,
"name": "kefir",
"surname": [
"kef",
"kefkef",
"kefirounet",
"boubou"
],
"age": 1.4,
"description": "kefir est un petit chien blanc très mignon",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": true
}
}
},
{
"id": 2,
"name": "intel",
"surname": [
"untel",
"tétel",
"iouiou"
],
"age": 11.5,
"description": "intel est un grand beagle très mignon",
"_vectors": {
"doggo_embedder": {
"embeddings": "[vector]",
"regenerate": false
}
}
}
]

View File

@ -4,11 +4,11 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 24,
"uid": 30,
"progress": null,
"details": {
"upgradeFrom": "v1.12.0",
"upgradeTo": "v1.15.2"
"upgradeTo": "v1.16.0"
},
"stats": {
"totalNbTasks": 1,
@ -26,6 +26,155 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "[date]",
"batchStrategy": "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type."
},
{
"uid": 29,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.067201S",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z",
"batchStrategy": "unspecified"
},
{
"uid": 28,
"progress": null,
"details": {
"deletedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"indexDeletion": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.012727S",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z",
"batchStrategy": "unspecified"
},
{
"uid": 27,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"stats": {
"totalNbTasks": 1,
"status": {
"failed": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.059920S",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z",
"batchStrategy": "unspecified"
},
{
"uid": 26,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.088879S",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z",
"batchStrategy": "unspecified"
},
{
"uid": 25,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.312911S",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z",
"batchStrategy": "unspecified"
},
{
"uid": 24,
"progress": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.247378S",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z",
"batchStrategy": "unspecified"
},
{
"uid": 23,
"progress": null,
@ -348,179 +497,10 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"startedAt": "2025-01-16T17:01:14.112756687Z",
"finishedAt": "2025-01-16T17:01:14.120064527Z",
"batchStrategy": "unspecified"
},
{
"uid": 10,
"progress": null,
"details": {
"faceting": {
"maxValuesPerFacet": 99
},
"pagination": {
"maxTotalHits": 15
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007391353S",
"startedAt": "2025-01-16T17:00:29.201180268Z",
"finishedAt": "2025-01-16T17:00:29.208571621Z",
"batchStrategy": "unspecified"
},
{
"uid": 9,
"progress": null,
"details": {
"faceting": {
"maxValuesPerFacet": 100
},
"pagination": {
"maxTotalHits": 1000
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007445825S",
"startedAt": "2025-01-16T17:00:15.77629445Z",
"finishedAt": "2025-01-16T17:00:15.783740275Z",
"batchStrategy": "unspecified"
},
{
"uid": 8,
"progress": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
},
"disableOnWords": [
"kefir"
],
"disableOnAttributes": [
"surname"
]
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.012020083S",
"startedAt": "2025-01-16T16:59:42.744086671Z",
"finishedAt": "2025-01-16T16:59:42.756106754Z",
"batchStrategy": "unspecified"
},
{
"uid": 7,
"progress": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
}
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007440092S",
"startedAt": "2025-01-16T16:58:41.2155771Z",
"finishedAt": "2025-01-16T16:58:41.223017192Z",
"batchStrategy": "unspecified"
},
{
"uid": 6,
"progress": null,
"details": {
"synonyms": {
"boubou": [
"kefir"
]
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007565161S",
"startedAt": "2025-01-16T16:54:51.940332781Z",
"finishedAt": "2025-01-16T16:54:51.947897942Z",
"batchStrategy": "unspecified"
},
{
"uid": 5,
"progress": null,
"details": {
"stopWords": [
"le",
"un"
]
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.016307263S",
"startedAt": "2025-01-16T16:53:19.913351957Z",
"finishedAt": "2025-01-16T16:53:19.92965922Z",
"batchStrategy": "unspecified"
}
],
"total": 23,
"total": 29,
"limit": 20,
"from": 24,
"next": 4
"from": 30,
"next": 10
}

View File

@ -4,11 +4,11 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 24,
"uid": 30,
"progress": null,
"details": {
"upgradeFrom": "v1.12.0",
"upgradeTo": "v1.15.2"
"upgradeTo": "v1.16.0"
},
"stats": {
"totalNbTasks": 1,
@ -26,6 +26,155 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "[date]",
"batchStrategy": "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type."
},
{
"uid": 29,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.067201S",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z",
"batchStrategy": "unspecified"
},
{
"uid": 28,
"progress": null,
"details": {
"deletedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"indexDeletion": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.012727S",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z",
"batchStrategy": "unspecified"
},
{
"uid": 27,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"stats": {
"totalNbTasks": 1,
"status": {
"failed": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.059920S",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z",
"batchStrategy": "unspecified"
},
{
"uid": 26,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.088879S",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z",
"batchStrategy": "unspecified"
},
{
"uid": 25,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.312911S",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z",
"batchStrategy": "unspecified"
},
{
"uid": 24,
"progress": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.247378S",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z",
"batchStrategy": "unspecified"
},
{
"uid": 23,
"progress": null,
@ -348,179 +497,10 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"startedAt": "2025-01-16T17:01:14.112756687Z",
"finishedAt": "2025-01-16T17:01:14.120064527Z",
"batchStrategy": "unspecified"
},
{
"uid": 10,
"progress": null,
"details": {
"faceting": {
"maxValuesPerFacet": 99
},
"pagination": {
"maxTotalHits": 15
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007391353S",
"startedAt": "2025-01-16T17:00:29.201180268Z",
"finishedAt": "2025-01-16T17:00:29.208571621Z",
"batchStrategy": "unspecified"
},
{
"uid": 9,
"progress": null,
"details": {
"faceting": {
"maxValuesPerFacet": 100
},
"pagination": {
"maxTotalHits": 1000
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007445825S",
"startedAt": "2025-01-16T17:00:15.77629445Z",
"finishedAt": "2025-01-16T17:00:15.783740275Z",
"batchStrategy": "unspecified"
},
{
"uid": 8,
"progress": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
},
"disableOnWords": [
"kefir"
],
"disableOnAttributes": [
"surname"
]
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.012020083S",
"startedAt": "2025-01-16T16:59:42.744086671Z",
"finishedAt": "2025-01-16T16:59:42.756106754Z",
"batchStrategy": "unspecified"
},
{
"uid": 7,
"progress": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
}
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007440092S",
"startedAt": "2025-01-16T16:58:41.2155771Z",
"finishedAt": "2025-01-16T16:58:41.223017192Z",
"batchStrategy": "unspecified"
},
{
"uid": 6,
"progress": null,
"details": {
"synonyms": {
"boubou": [
"kefir"
]
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.007565161S",
"startedAt": "2025-01-16T16:54:51.940332781Z",
"finishedAt": "2025-01-16T16:54:51.947897942Z",
"batchStrategy": "unspecified"
},
{
"uid": 5,
"progress": null,
"details": {
"stopWords": [
"le",
"un"
]
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.016307263S",
"startedAt": "2025-01-16T16:53:19.913351957Z",
"finishedAt": "2025-01-16T16:53:19.92965922Z",
"batchStrategy": "unspecified"
}
],
"total": 23,
"total": 29,
"limit": 20,
"from": 24,
"next": 4
"from": 30,
"next": 10
}

View File

@ -4,11 +4,11 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 24,
"uid": 30,
"progress": null,
"details": {
"upgradeFrom": "v1.12.0",
"upgradeTo": "v1.15.2"
"upgradeTo": "v1.16.0"
},
"stats": {
"totalNbTasks": 1,
@ -26,6 +26,155 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "[date]",
"batchStrategy": "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type."
},
{
"uid": 29,
"progress": null,
"details": {
"receivedDocuments": 1,
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@ -264,134 +376,10 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -4,15 +4,15 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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@ -264,134 +376,10 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
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"canceledBy": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
}
}
},
"error": null,
"duration": "PT0.007440092S",
"enqueuedAt": "2025-01-16T16:58:41.203145044Z",
"startedAt": "2025-01-16T16:58:41.2155771Z",
"finishedAt": "2025-01-16T16:58:41.223017192Z"
},
{
"uid": 6,
"batchUid": 6,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"synonyms": {
"boubou": [
"kefir"
]
}
},
"error": null,
"duration": "PT0.007565161S",
"enqueuedAt": "2025-01-16T16:54:51.927866243Z",
"startedAt": "2025-01-16T16:54:51.940332781Z",
"finishedAt": "2025-01-16T16:54:51.947897942Z"
}
],
"total": 24,
"total": 30,
"limit": 20,
"from": 25,
"next": 5
"from": 31,
"next": 11
}

View File

@ -4,15 +4,15 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 25,
"batchUid": 24,
"uid": 31,
"batchUid": 30,
"indexUid": null,
"status": "succeeded",
"type": "upgradeDatabase",
"canceledBy": null,
"details": {
"upgradeFrom": "v1.12.0",
"upgradeTo": "v1.15.2"
"upgradeTo": "v1.16.0"
},
"error": null,
"duration": "[duration]",
@ -20,6 +20,118 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"startedAt": "[date]",
"finishedAt": "[date]"
},
{
"uid": 30,
"batchUid": 29,
"indexUid": "kefir",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.067201S",
"enqueuedAt": "2025-07-07T13:43:08.772432Z",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z"
},
{
"uid": 29,
"batchUid": 28,
"indexUid": "mieli",
"status": "succeeded",
"type": "indexDeletion",
"canceledBy": null,
"details": {
"deletedDocuments": 1
},
"error": null,
"duration": "PT0.012727S",
"enqueuedAt": "2025-07-07T13:42:50.744793Z",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z"
},
{
"uid": 28,
"batchUid": 27,
"indexUid": "kefir",
"status": "failed",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"error": {
"message": "Index `kefir`: Bad embedder configuration in the document with id: `2`. Could not parse `._vectors.doggo_embedder`: trailing characters at line 1 column 13",
"code": "invalid_vectors_type",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
},
"duration": "PT0.059920S",
"enqueuedAt": "2025-07-07T13:42:15.624598Z",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z"
},
{
"uid": 27,
"batchUid": 26,
"indexUid": "mieli",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.088879S",
"enqueuedAt": "2025-07-07T13:40:01.46081Z",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z"
},
{
"uid": 26,
"batchUid": 25,
"indexUid": "kefir",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.312911S",
"enqueuedAt": "2025-07-07T13:32:46.13871Z",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z"
},
{
"uid": 25,
"batchUid": 24,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"error": null,
"duration": "PT0.247378S",
"enqueuedAt": "2025-07-07T13:28:27.390054Z",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z"
},
{
"uid": 24,
"batchUid": 23,
@ -264,134 +376,10 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"enqueuedAt": "2025-01-16T17:02:52.527382964Z",
"startedAt": "2025-01-16T17:02:52.539749853Z",
"finishedAt": "2025-01-16T17:02:52.547390016Z"
},
{
"uid": 11,
"batchUid": 11,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"searchCutoffMs": 8000
},
"error": null,
"duration": "PT0.007307840S",
"enqueuedAt": "2025-01-16T17:01:14.100316617Z",
"startedAt": "2025-01-16T17:01:14.112756687Z",
"finishedAt": "2025-01-16T17:01:14.120064527Z"
},
{
"uid": 10,
"batchUid": 10,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"faceting": {
"maxValuesPerFacet": 99
},
"pagination": {
"maxTotalHits": 15
}
},
"error": null,
"duration": "PT0.007391353S",
"enqueuedAt": "2025-01-16T17:00:29.188815062Z",
"startedAt": "2025-01-16T17:00:29.201180268Z",
"finishedAt": "2025-01-16T17:00:29.208571621Z"
},
{
"uid": 9,
"batchUid": 9,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"faceting": {
"maxValuesPerFacet": 100
},
"pagination": {
"maxTotalHits": 1000
}
},
"error": null,
"duration": "PT0.007445825S",
"enqueuedAt": "2025-01-16T17:00:15.759501709Z",
"startedAt": "2025-01-16T17:00:15.77629445Z",
"finishedAt": "2025-01-16T17:00:15.783740275Z"
},
{
"uid": 8,
"batchUid": 8,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
},
"disableOnWords": [
"kefir"
],
"disableOnAttributes": [
"surname"
]
}
},
"error": null,
"duration": "PT0.012020083S",
"enqueuedAt": "2025-01-16T16:59:42.727292501Z",
"startedAt": "2025-01-16T16:59:42.744086671Z",
"finishedAt": "2025-01-16T16:59:42.756106754Z"
},
{
"uid": 7,
"batchUid": 7,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"typoTolerance": {
"minWordSizeForTypos": {
"oneTypo": 4
}
}
},
"error": null,
"duration": "PT0.007440092S",
"enqueuedAt": "2025-01-16T16:58:41.203145044Z",
"startedAt": "2025-01-16T16:58:41.2155771Z",
"finishedAt": "2025-01-16T16:58:41.223017192Z"
},
{
"uid": 6,
"batchUid": 6,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"synonyms": {
"boubou": [
"kefir"
]
}
},
"error": null,
"duration": "PT0.007565161S",
"enqueuedAt": "2025-01-16T16:54:51.927866243Z",
"startedAt": "2025-01-16T16:54:51.940332781Z",
"finishedAt": "2025-01-16T16:54:51.947897942Z"
}
],
"total": 24,
"total": 30,
"limit": 20,
"from": 25,
"next": 5
"from": 31,
"next": 11
}

View File

@ -4,11 +4,11 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 24,
"uid": 30,
"progress": null,
"details": {
"upgradeFrom": "v1.12.0",
"upgradeTo": "v1.15.2"
"upgradeTo": "v1.16.0"
},
"stats": {
"totalNbTasks": 1,
@ -26,6 +26,155 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "[date]",
"batchStrategy": "stopped after the last task of type `upgradeDatabase` because they cannot be batched with tasks of any other type."
},
{
"uid": 29,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.067201S",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z",
"batchStrategy": "unspecified"
},
{
"uid": 28,
"progress": null,
"details": {
"deletedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"indexDeletion": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.012727S",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z",
"batchStrategy": "unspecified"
},
{
"uid": 27,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"stats": {
"totalNbTasks": 1,
"status": {
"failed": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.059920S",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z",
"batchStrategy": "unspecified"
},
{
"uid": 26,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"mieli": 1
}
},
"duration": "PT0.088879S",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z",
"batchStrategy": "unspecified"
},
{
"uid": 25,
"progress": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.312911S",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z",
"batchStrategy": "unspecified"
},
{
"uid": 24,
"progress": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"stats": {
"totalNbTasks": 1,
"status": {
"succeeded": 1
},
"types": {
"settingsUpdate": 1
},
"indexUids": {
"kefir": 1
}
},
"duration": "PT0.247378S",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z",
"batchStrategy": "unspecified"
},
{
"uid": 23,
"progress": null,
@ -642,8 +791,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"batchStrategy": "unspecified"
}
],
"total": 25,
"total": 31,
"limit": 1000,
"from": 24,
"from": 30,
"next": null
}

View File

@ -4,15 +4,15 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
{
"results": [
{
"uid": 25,
"batchUid": 24,
"uid": 31,
"batchUid": 30,
"indexUid": null,
"status": "succeeded",
"type": "upgradeDatabase",
"canceledBy": null,
"details": {
"upgradeFrom": "v1.12.0",
"upgradeTo": "v1.15.2"
"upgradeTo": "v1.16.0"
},
"error": null,
"duration": "[duration]",
@ -20,6 +20,118 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"startedAt": "[date]",
"finishedAt": "[date]"
},
{
"uid": 30,
"batchUid": 29,
"indexUid": "kefir",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.067201S",
"enqueuedAt": "2025-07-07T13:43:08.772432Z",
"startedAt": "2025-07-07T13:43:08.772854Z",
"finishedAt": "2025-07-07T13:43:08.840055Z"
},
{
"uid": 29,
"batchUid": 28,
"indexUid": "mieli",
"status": "succeeded",
"type": "indexDeletion",
"canceledBy": null,
"details": {
"deletedDocuments": 1
},
"error": null,
"duration": "PT0.012727S",
"enqueuedAt": "2025-07-07T13:42:50.744793Z",
"startedAt": "2025-07-07T13:42:50.745461Z",
"finishedAt": "2025-07-07T13:42:50.758188Z"
},
{
"uid": 28,
"batchUid": 27,
"indexUid": "kefir",
"status": "failed",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 0
},
"error": {
"message": "Index `kefir`: Bad embedder configuration in the document with id: `2`. Could not parse `._vectors.doggo_embedder`: trailing characters at line 1 column 13",
"code": "invalid_vectors_type",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_vectors_type"
},
"duration": "PT0.059920S",
"enqueuedAt": "2025-07-07T13:42:15.624598Z",
"startedAt": "2025-07-07T13:42:15.625413Z",
"finishedAt": "2025-07-07T13:42:15.685333Z"
},
{
"uid": 27,
"batchUid": 26,
"indexUid": "mieli",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.088879S",
"enqueuedAt": "2025-07-07T13:40:01.46081Z",
"startedAt": "2025-07-07T13:40:01.461741Z",
"finishedAt": "2025-07-07T13:40:01.55062Z"
},
{
"uid": 26,
"batchUid": 25,
"indexUid": "kefir",
"status": "succeeded",
"type": "documentAdditionOrUpdate",
"canceledBy": null,
"details": {
"receivedDocuments": 1,
"indexedDocuments": 1
},
"error": null,
"duration": "PT0.312911S",
"enqueuedAt": "2025-07-07T13:32:46.13871Z",
"startedAt": "2025-07-07T13:32:46.139785Z",
"finishedAt": "2025-07-07T13:32:46.452696Z"
},
{
"uid": 25,
"batchUid": 24,
"indexUid": "kefir",
"status": "succeeded",
"type": "settingsUpdate",
"canceledBy": null,
"details": {
"embedders": {
"doggo_embedder": {
"source": "huggingFace",
"model": "sentence-transformers/all-MiniLM-L6-v2",
"revision": "e4ce9877abf3edfe10b0d82785e83bdcb973e22e",
"documentTemplate": "{{doc.description}}"
}
}
},
"error": null,
"duration": "PT0.247378S",
"enqueuedAt": "2025-07-07T13:28:27.390054Z",
"startedAt": "2025-07-07T13:28:27.391344Z",
"finishedAt": "2025-07-07T13:28:27.638722Z"
},
{
"uid": 24,
"batchUid": 23,
@ -497,8 +609,8 @@ source: crates/meilisearch/tests/upgrade/v1_12/v1_12_0.rs
"finishedAt": "2025-01-16T16:45:16.131303739Z"
}
],
"total": 26,
"total": 32,
"limit": 1000,
"from": 25,
"from": 31,
"next": null
}

View File

@ -114,13 +114,13 @@ async fn check_the_index_scheduler(server: &Server) {
// All the indexes are still present
let (indexes, _) = server.list_indexes(None, None).await;
snapshot!(indexes, @r#"
snapshot!(indexes, @r###"
{
"results": [
{
"uid": "kefir",
"createdAt": "2025-01-16T16:45:16.020663157Z",
"updatedAt": "2025-01-23T11:36:22.634859166Z",
"updatedAt": "2025-07-07T13:43:08.835381Z",
"primaryKey": "id"
}
],
@ -128,7 +128,7 @@ async fn check_the_index_scheduler(server: &Server) {
"limit": 20,
"total": 1
}
"#);
"###);
// And their metadata are still right
let (stats, _) = server.stats().await;
assert_json_snapshot!(stats, {
@ -141,21 +141,21 @@ async fn check_the_index_scheduler(server: &Server) {
{
"databaseSize": "[bytes]",
"usedDatabaseSize": "[bytes]",
"lastUpdate": "2025-01-23T11:36:22.634859166Z",
"lastUpdate": "2025-07-07T13:43:08.835381Z",
"indexes": {
"kefir": {
"numberOfDocuments": 1,
"numberOfDocuments": 2,
"rawDocumentDbSize": "[bytes]",
"avgDocumentSize": "[bytes]",
"isIndexing": false,
"numberOfEmbeddings": 0,
"numberOfEmbeddedDocuments": 0,
"numberOfEmbeddings": 2,
"numberOfEmbeddedDocuments": 2,
"fieldDistribution": {
"age": 1,
"description": 1,
"id": 1,
"name": 1,
"surname": 1
"age": 2,
"description": 2,
"id": 2,
"name": 2,
"surname": 2
}
}
}
@ -227,21 +227,21 @@ async fn check_the_index_scheduler(server: &Server) {
{
"databaseSize": "[bytes]",
"usedDatabaseSize": "[bytes]",
"lastUpdate": "2025-01-23T11:36:22.634859166Z",
"lastUpdate": "2025-07-07T13:43:08.835381Z",
"indexes": {
"kefir": {
"numberOfDocuments": 1,
"numberOfDocuments": 2,
"rawDocumentDbSize": "[bytes]",
"avgDocumentSize": "[bytes]",
"isIndexing": false,
"numberOfEmbeddings": 0,
"numberOfEmbeddedDocuments": 0,
"numberOfEmbeddings": 2,
"numberOfEmbeddedDocuments": 2,
"fieldDistribution": {
"age": 1,
"description": 1,
"id": 1,
"name": 1,
"surname": 1
"age": 2,
"description": 2,
"id": 2,
"name": 2,
"surname": 2
}
}
}
@ -254,18 +254,18 @@ async fn check_the_index_scheduler(server: &Server) {
".avgDocumentSize" => "[bytes]",
}), @r###"
{
"numberOfDocuments": 1,
"numberOfDocuments": 2,
"rawDocumentDbSize": "[bytes]",
"avgDocumentSize": "[bytes]",
"isIndexing": false,
"numberOfEmbeddings": 0,
"numberOfEmbeddedDocuments": 0,
"numberOfEmbeddings": 2,
"numberOfEmbeddedDocuments": 2,
"fieldDistribution": {
"age": 1,
"description": 1,
"id": 1,
"name": 1,
"surname": 1
"age": 2,
"description": 2,
"id": 2,
"name": 2,
"surname": 2
}
}
"###);
@ -295,4 +295,8 @@ async fn check_the_index_features(server: &Server) {
let (results, _status) =
kefir.search_post(json!({ "sort": ["age:asc"], "filter": "surname = kefirounet" })).await;
snapshot!(results, name: "search_with_sort_and_filter");
// ensuring we can get the vectors and their `regenerate` is still good.
let (results, _status) = kefir.search_post(json!({"retrieveVectors": true})).await;
snapshot!(json_string!(results["hits"], {"[]._vectors.doggo_embedder.embeddings" => "[vector]"}), name: "search_with_retrieve_vectors");
}

View File

@ -1,7 +1,10 @@
use std::collections::BTreeMap;
use std::sync::atomic::AtomicUsize;
use std::time::Duration;
use meili_snap::{json_string, snapshot};
use reqwest::IntoUrl;
use tokio::sync::mpsc;
use wiremock::matchers::{method, path};
use wiremock::{Mock, MockServer, Request, ResponseTemplate};
@ -334,6 +337,41 @@ async fn create_mock_raw() -> (MockServer, Value) {
(mock_server, embedder_settings)
}
async fn create_faulty_mock_raw(sender: mpsc::Sender<()>) -> (MockServer, Value) {
let mock_server = MockServer::start().await;
let count = AtomicUsize::new(0);
Mock::given(method("POST"))
.and(path("/"))
.respond_with(move |_req: &Request| {
let count = count.fetch_add(1, std::sync::atomic::Ordering::SeqCst);
if count >= 5 {
let _ = sender.try_send(());
ResponseTemplate::new(500)
.set_delay(Duration::from_secs(u64::MAX)) // Make the response hang forever
.set_body_string("Service Unavailable")
} else {
ResponseTemplate::new(500).set_body_string("Service Unavailable")
}
})
.mount(&mock_server)
.await;
let url = mock_server.uri();
let embedder_settings = json!({
"source": "rest",
"url": url,
"dimensions": 3,
"request": "{{text}}",
"response": "{{embedding}}",
"documentTemplate": "{{doc.name}}"
});
(mock_server, embedder_settings)
}
pub async fn post<T: IntoUrl>(url: T, text: &str) -> reqwest::Result<reqwest::Response> {
reqwest::Client::builder().build()?.post(url).json(&json!(text)).send().await
}
@ -370,13 +408,13 @@ async fn bad_request() {
.await;
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request`: \"{{text}}\" not found",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
}
"###);
{
"message": "Error while generating embeddings: user error: in `request`: \"{{text}}\" not found\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
}
"###);
// A repeat string appears inside a repeated value
let (response, code) = index
@ -399,7 +437,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.input.input`: \"{{..}}\" appears nested inside of a value that is itself repeated",
"message": "Error while generating embeddings: user error: in `request.input.input`: \"{{..}}\" appears nested inside of a value that is itself repeated\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -422,7 +460,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.input.repeat`: \"{{..}}\" appears outside of an array",
"message": "Error while generating embeddings: user error: in `request.input.repeat`: \"{{..}}\" appears outside of an array\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -445,7 +483,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.input`: \"{{..}}\" expected at position #1, but found at position #0",
"message": "Error while generating embeddings: user error: in `request.input`: \"{{..}}\" expected at position #1, but found at position #0\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -468,7 +506,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.input`: \"{{..}}\" expected at position #1, but found at position #2",
"message": "Error while generating embeddings: user error: in `request.input`: \"{{..}}\" expected at position #1, but found at position #2\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -491,7 +529,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.input[0]`: Expected \"{{text}}\" inside of the repeated value",
"message": "Error while generating embeddings: user error: in `request.input[0]`: Expected \"{{text}}\" inside of the repeated value\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -518,7 +556,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.data`: Found \"{{..}}\", but it was already present in `request.input`",
"message": "Error while generating embeddings: user error: in `request.data`: Found \"{{..}}\", but it was already present in `request.input`\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -539,7 +577,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.data`: Found \"{{text}}\", but it was already present in `request.input`",
"message": "Error while generating embeddings: user error: in `request.data`: Found \"{{text}}\", but it was already present in `request.input`\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -560,7 +598,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.repeated.data[1]`: Found \"{{text}}\", but it was already present in `request.repeated.input`",
"message": "Error while generating embeddings: user error: in `request.repeated.data[1]`: Found \"{{text}}\", but it was already present in `request.repeated.input`\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -581,7 +619,7 @@ async fn bad_request() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request.data`: Found \"{{text}}\", but it was already present in `request.input[0]` (repeated)",
"message": "Error while generating embeddings: user error: in `request.data`: Found \"{{text}}\", but it was already present in `request.input[0]` (repeated)\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -882,7 +920,7 @@ async fn bad_settings() {
snapshot!(code, @"400 Bad Request");
snapshot!(response, @r###"
{
"message": "Error while generating embeddings: user error: in `request`: \"{{text}}\" not found",
"message": "Error while generating embeddings: user error: in `request`: \"{{text}}\" not found\n - Note: this template is using a document template, and so expects to contain the placeholder \"{{text}}\" rather than \"{{fragment}}\"",
"code": "vector_embedding_error",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
@ -2111,3 +2149,71 @@ async fn searchable_reindex() {
}
"###);
}
#[actix_rt::test]
async fn last_error_stats() {
let (sender, mut receiver) = mpsc::channel(10);
let (_mock, setting) = create_faulty_mock_raw(sender).await;
let server = get_server_vector().await;
let index = server.index("doggo");
let (response, code) = index
.update_settings(json!({
"embedders": {
"rest": setting,
},
}))
.await;
snapshot!(code, @"202 Accepted");
let task = server.wait_task(response.uid()).await;
snapshot!(task["status"], @r###""succeeded""###);
let documents = json!([
{"id": 0, "name": "will_return_500"},
{"id": 1, "name": "will_error"},
{"id": 2, "name": "must_error"},
]);
let (_value, code) = index.add_documents(documents, None).await;
snapshot!(code, @"202 Accepted");
// The task will eventually fail, so let's not wait for it.
// Let's just wait for the server's signal
receiver.recv().await;
let (response, _code) = index.filtered_batches(&[], &[], &[]).await;
snapshot!(json_string!(response["results"][0], {
".progress" => "[ignored]",
".stats.embedderRequests.total" => "[ignored]",
".stats.embedderRequests.failed" => "[ignored]",
".startedAt" => "[ignored]"
}), @r#"
{
"uid": 1,
"progress": "[ignored]",
"details": {
"receivedDocuments": 3,
"indexedDocuments": null
},
"stats": {
"totalNbTasks": 1,
"status": {
"processing": 1
},
"types": {
"documentAdditionOrUpdate": 1
},
"indexUids": {
"doggo": 1
},
"embedderRequests": {
"total": "[ignored]",
"failed": "[ignored]",
"lastError": "runtime error: received internal error HTTP 500 from embedding server\n - server replied with `Service Unavailable`"
}
},
"duration": null,
"startedAt": "[ignored]",
"finishedAt": null,
"batchStrategy": "batched all enqueued tasks"
}
"#);
}