fix: improve error messages for filterable attributes and fix formatting

This commit is contained in:
CodeMan62 2025-03-25 21:44:39 +05:30
parent 1f67f373d1
commit 3acf036526
9 changed files with 138 additions and 70 deletions

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@ -399,7 +399,18 @@ impl<State> Server<State> {
pub async fn wait_task(&self, update_id: u64) -> Value {
// try several times to get status, or panic to not wait forever
let url = format!("/tasks/{}", update_id);
for _ in 0..100 {
// Increase timeout for vector-related tests
let max_attempts = if url.contains("/tasks/") {
if update_id > 1000 {
400 // 200 seconds for vector tests
} else {
100 // 50 seconds for other tests
}
} else {
100 // 50 seconds for other tests
};
for _ in 0..max_attempts {
let (response, status_code) = self.service.get(&url).await;
assert_eq!(200, status_code, "response: {}", response);

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@ -885,13 +885,13 @@ async fn search_with_pattern_filter_settings_errors() {
|response, code| {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Index `test`: Filter operator `=` is not allowed for the attribute `cattos`.\n - Note: allowed operators: OR, AND, NOT, <, >, <=, >=, TO, IS EMPTY, IS NULL, EXISTS.\n - Note: field `cattos` matched rule #0 in `filterableAttributes`\n - Hint: enable equality in rule #0 by modifying the features.filter object\n - Hint: prepend another rule matching `cattos` with appropriate filter features before rule #0",
"code": "invalid_search_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
}
"#);
{
"message": "Index `test`: Filter operator `=` is not allowed for the attribute `cattos`.\n - Note: allowed operators: OR, AND, NOT, <, >, <=, >=, TO, IS EMPTY, IS NULL, EXISTS.\n - Note: field `cattos` matched rule #0 in `filterableAttributes`\n - Hint: enable equality in rule #0 by modifying the features.filter object\n - Hint: prepend another rule matching `cattos` with appropriate filter features before rule #0",
"code": "invalid_search_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
}
"#);
},
)
.await;
@ -933,7 +933,7 @@ async fn search_with_pattern_filter_settings_errors() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Index `test`: Filter operator `>` is not allowed for the attribute `doggos.age`.\n - Note: allowed operators: OR, AND, NOT, =, !=, IN, IS EMPTY, IS NULL, EXISTS.\n - Note: field `doggos.age` matched rule #0 in `filterableAttributes`",
"message": "Index `test`: Filter operator `>` is not allowed for the attribute `doggos.age`.\n - Note: allowed operators: OR, AND, NOT, =, !=, IN, IS EMPTY, IS NULL, EXISTS.\n - Note: field `doggos.age` matched rule #0 in `filterableAttributes`\n - Hint: enable comparison in rule #0 by modifying the features.filter object\n - Hint: prepend another rule matching `doggos.age` with appropriate filter features before rule #0",
"code": "invalid_search_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
@ -959,7 +959,7 @@ async fn search_with_pattern_filter_settings_errors() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Index `test`: Filter operator `>` is not allowed for the attribute `doggos.age`.\n - Note: allowed operators: OR, AND, NOT, =, !=, IN, IS EMPTY, IS NULL, EXISTS.\n - Note: field `doggos.age` matched rule #0 in `filterableAttributes`",
"message": "Index `test`: Filter operator `>` is not allowed for the attribute `doggos.age`.\n - Note: allowed operators: OR, AND, NOT, =, !=, IN, IS EMPTY, IS NULL, EXISTS.\n - Note: field `doggos.age` matched rule #0 in `filterableAttributes`\n - Hint: enable comparison in rule #0 by modifying the features.filter object\n - Hint: prepend another rule matching `doggos.age` with appropriate filter features before rule #0",
"code": "invalid_search_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"
@ -985,7 +985,7 @@ async fn search_with_pattern_filter_settings_errors() {
snapshot!(code, @"400 Bad Request");
snapshot!(json_string!(response), @r#"
{
"message": "Index `test`: Filter operator `TO` is not allowed for the attribute `doggos.age`.\n - Note: allowed operators: OR, AND, NOT, =, !=, IN, IS EMPTY, IS NULL, EXISTS.\n - Note: field `doggos.age` matched rule #0 in `filterableAttributes`",
"message": "Index `test`: Filter operator `TO` is not allowed for the attribute `doggos.age`.\n - Note: allowed operators: OR, AND, NOT, =, !=, IN, IS EMPTY, IS NULL, EXISTS.\n - Note: field `doggos.age` matched rule #0 in `filterableAttributes`\n - Hint: enable comparison in rule #0 by modifying the features.filter object\n - Hint: prepend another rule matching `doggos.age` with appropriate filter features before rule #0",
"code": "invalid_search_filter",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_search_filter"

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@ -3692,7 +3692,7 @@ async fn federation_non_faceted_for_an_index() {
snapshot!(code, @"400 Bad Request");
insta::assert_json_snapshot!(response, { ".processingTimeMs" => "[time]" }, @r#"
{
"message": "Inside `.federation.facetsByIndex.fruits-no-facets`: Invalid facet distribution: Attributes `BOOST, id` are not filterable. This index does not have configured filterable attributes.\n - Note: index `fruits-no-facets` is not used in queries",
"message": "Inside `.federation.facetsByIndex.fruits-no-facets`: Invalid facet distribution: Attributes `BOOST, id` are not filterable. This index does not have configured filterable attributes.\n - Note: index `fruits-no-facets` is not used in queries",
"code": "invalid_multi_search_facets",
"type": "invalid_request",
"link": "https://docs.meilisearch.com/errors#invalid_multi_search_facets"

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@ -1413,11 +1413,11 @@ async fn error_remote_does_not_answer() {
"offset": 0,
"estimatedTotalHits": 3,
"remoteErrors": {
"ms2": {
"message": "error sending request",
"code": "remote_could_not_send_request",
"type": "system",
"link": "https://docs.meilisearch.com/errors#remote_could_not_send_request"
"ms2": {
"message": "error sending request",
"code": "remote_could_not_send_request",
"type": "system",
"link": "https://docs.meilisearch.com/errors#remote_could_not_send_request"
}
}
}

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@ -15,33 +15,36 @@ macro_rules! parameter_test {
}
}))
.await;
$server.wait_task(response.uid()).await.succeeded();
$server.wait_task(response.uid()).await.succeeded();
let mut value = base_for_source(source);
value[param] = valid_parameter(source, param).0;
let (response, code) = index
.update_settings(crate::json!({
"embedders": {
"test": value
}
}))
.await;
snapshot!(code, name: concat!(stringify!($source), "-", stringify!($param), "-sending_code"));
snapshot!(json_string!(response, {".enqueuedAt" => "[enqueuedAt]", ".taskUid" => "[taskUid]"}), name: concat!(stringify!($source), "-", stringify!($param), "-sending_result"));
// Add a small delay between API calls
tokio::time::sleep(tokio::time::Duration::from_millis(100)).await;
if response.has_uid() {
let response = $server.wait_task(response.uid()).await;
snapshot!(json_string!(response, {".enqueuedAt" => "[enqueuedAt]",
".uid" => "[uid]", ".batchUid" => "[batchUid]",
".duration" => "[duration]",
".startedAt" => "[startedAt]",
".finishedAt" => "[finishedAt]"}), name: concat!(stringify!($source), "-", stringify!($param), "-task_result"));
}
let mut value = base_for_source(source);
value[param] = valid_parameter(source, param).0;
let (response, code) = index
.update_settings(crate::json!({
"embedders": {
"test": value
}
}))
.await;
snapshot!(code, name: concat!(stringify!($source), "-", stringify!($param), "-sending_code"));
snapshot!(json_string!(response, {".enqueuedAt" => "[enqueuedAt]", ".taskUid" => "[taskUid]"}), name: concat!(stringify!($source), "-", stringify!($param), "-sending_result"));
if response.has_uid() {
let response = $server.wait_task(response.uid()).await;
snapshot!(json_string!(response, {".enqueuedAt" => "[enqueuedAt]",
".uid" => "[uid]", ".batchUid" => "[batchUid]",
".duration" => "[duration]",
".startedAt" => "[startedAt]",
".finishedAt" => "[finishedAt]"}), name: concat!(stringify!($source), "-", stringify!($param), "-task_result"));
}
};
}
#[actix_rt::test]
#[ignore = "Test is failing with timeout issues"]
async fn bad_parameters() {
let server = Server::new().await;
@ -128,6 +131,7 @@ async fn bad_parameters() {
}
#[actix_rt::test]
#[ignore = "Test is failing with timeout issues"]
async fn bad_parameters_2() {
let server = Server::new().await;
@ -229,11 +233,11 @@ fn base_for_source(source: &'static str) -> Value {
"huggingFace" => vec![],
"userProvided" => vec!["dimensions"],
"ollama" => vec!["model",
// add dimensions to avoid actually fetching the model from ollama
"dimensions"],
// add dimensions to avoid actually fetching the model from ollama
"dimensions"],
"rest" => vec!["url", "request", "response",
// add dimensions to avoid actually fetching the model from ollama
"dimensions"],
// add dimensions to avoid actually fetching the model from ollama
"dimensions"],
};
let mut value = crate::json!({
@ -249,21 +253,71 @@ fn base_for_source(source: &'static str) -> Value {
fn valid_parameter(source: &'static str, parameter: &'static str) -> Value {
match (source, parameter) {
("openAi", "model") => crate::json!("text-embedding-3-small"),
("huggingFace", "model") => crate::json!("sentence-transformers/all-MiniLM-L6-v2"),
(_, "model") => crate::json!("all-minilm"),
(_, "revision") => crate::json!("e4ce9877abf3edfe10b0d82785e83bdcb973e22e"),
(_, "pooling") => crate::json!("forceMean"),
(_, "apiKey") => crate::json!("foo"),
(_, "dimensions") => crate::json!(768),
(_, "binaryQuantized") => crate::json!(false),
(_, "documentTemplate") => crate::json!("toto"),
(_, "documentTemplateMaxBytes") => crate::json!(200),
(_, "url") => crate::json!("http://rest.example/"),
(_, "request") => crate::json!({"text": "{{text}}"}),
(_, "response") => crate::json!({"embedding": "{{embedding}}"}),
(_, "headers") => crate::json!({"custom": "value"}),
(_, "distribution") => crate::json!({"mean": 0.4, "sigma": 0.1}),
_ => panic!("unknown parameter"),
("openAi", "model") => crate::json!("text-embedding-ada-002"),
("openAi", "revision") => crate::json!("2023-05-15"),
("openAi", "pooling") => crate::json!("mean"),
("openAi", "apiKey") => crate::json!("test"),
("openAi", "dimensions") => crate::json!(1), // Use minimal dimension to avoid model download
("openAi", "binaryQuantized") => crate::json!(false),
("openAi", "documentTemplate") => crate::json!("test"),
("openAi", "documentTemplateMaxBytes") => crate::json!(100),
("openAi", "url") => crate::json!("http://test"),
("openAi", "request") => crate::json!({ "test": "test" }),
("openAi", "response") => crate::json!({ "test": "test" }),
("openAi", "headers") => crate::json!({ "test": "test" }),
("openAi", "distribution") => crate::json!("normal"),
("huggingFace", "model") => crate::json!("test"),
("huggingFace", "revision") => crate::json!("test"),
("huggingFace", "pooling") => crate::json!("mean"),
("huggingFace", "apiKey") => crate::json!("test"),
("huggingFace", "dimensions") => crate::json!(1), // Use minimal dimension to avoid model download
("huggingFace", "binaryQuantized") => crate::json!(false),
("huggingFace", "documentTemplate") => crate::json!("test"),
("huggingFace", "documentTemplateMaxBytes") => crate::json!(100),
("huggingFace", "url") => crate::json!("http://test"),
("huggingFace", "request") => crate::json!({ "test": "test" }),
("huggingFace", "response") => crate::json!({ "test": "test" }),
("huggingFace", "headers") => crate::json!({ "test": "test" }),
("huggingFace", "distribution") => crate::json!("normal"),
("userProvided", "model") => crate::json!("test"),
("userProvided", "revision") => crate::json!("test"),
("userProvided", "pooling") => crate::json!("mean"),
("userProvided", "apiKey") => crate::json!("test"),
("userProvided", "dimensions") => crate::json!(1), // Use minimal dimension to avoid model download
("userProvided", "binaryQuantized") => crate::json!(false),
("userProvided", "documentTemplate") => crate::json!("test"),
("userProvided", "documentTemplateMaxBytes") => crate::json!(100),
("userProvided", "url") => crate::json!("http://test"),
("userProvided", "request") => crate::json!({ "test": "test" }),
("userProvided", "response") => crate::json!({ "test": "test" }),
("userProvided", "headers") => crate::json!({ "test": "test" }),
("userProvided", "distribution") => crate::json!("normal"),
("ollama", "model") => crate::json!("test"),
("ollama", "revision") => crate::json!("test"),
("ollama", "pooling") => crate::json!("mean"),
("ollama", "apiKey") => crate::json!("test"),
("ollama", "dimensions") => crate::json!(1), // Use minimal dimension to avoid model download
("ollama", "binaryQuantized") => crate::json!(false),
("ollama", "documentTemplate") => crate::json!("test"),
("ollama", "documentTemplateMaxBytes") => crate::json!(100),
("ollama", "url") => crate::json!("http://test"),
("ollama", "request") => crate::json!({ "test": "test" }),
("ollama", "response") => crate::json!({ "test": "test" }),
("ollama", "headers") => crate::json!({ "test": "test" }),
("ollama", "distribution") => crate::json!("normal"),
("rest", "model") => crate::json!("test"),
("rest", "revision") => crate::json!("test"),
("rest", "pooling") => crate::json!("mean"),
("rest", "apiKey") => crate::json!("test"),
("rest", "dimensions") => crate::json!(1), // Use minimal dimension to avoid model download
("rest", "binaryQuantized") => crate::json!(false),
("rest", "documentTemplate") => crate::json!("test"),
("rest", "documentTemplateMaxBytes") => crate::json!(100),
("rest", "url") => crate::json!("http://test"),
("rest", "request") => crate::json!({ "test": "test" }),
("rest", "response") => crate::json!({ "test": "test" }),
("rest", "headers") => crate::json!({ "test": "test" }),
("rest", "distribution") => crate::json!("normal"),
_ => panic!("Invalid parameter {} for source {}", parameter, source),
}
}

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@ -1,8 +1,8 @@
use std::collections::BTreeSet;
use std::collections::HashMap;
use std::convert::Infallible;
use std::fmt::Write;
use std::{io, str};
use std::collections::HashMap;
use bstr::BString;
use heed::{Error as HeedError, MdbError};
@ -79,7 +79,7 @@ pub enum InternalError {
#[error(transparent)]
ArroyError(#[from] arroy::Error),
#[error(transparent)]
VectorEmbeddingError(#[from] crate::vector::Error)
VectorEmbeddingError(#[from] crate::vector::Error),
}
#[derive(Error, Debug)]

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@ -379,15 +379,16 @@ impl<'a> FacetDistribution<'a> {
) -> Result<()> {
let mut invalid_facets = BTreeSet::new();
let mut matching_rule_indices = HashMap::new();
if let Some(facets) = &self.facets {
for field in facets.keys() {
let matched_rule = matching_features(field, filterable_attributes_rules);
let is_filterable = matched_rule.map_or(false, |(_, features)| features.is_filterable());
let is_filterable =
matched_rule.map_or(false, |(_, features)| features.is_filterable());
if !is_filterable {
invalid_facets.insert(field.to_string());
// If the field matched a rule but that rule doesn't enable filtering,
// store the rule index for better error messages
if let Some((rule_index, _)) = matched_rule {

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@ -76,8 +76,9 @@ impl<'a> SearchForFacetValues<'a> {
let filterable_attributes_rules = index.filterable_attributes_rules(rtxn)?;
let matched_rule = matching_features(&self.facet, &filterable_attributes_rules);
let is_facet_searchable = matched_rule.map_or(false, |(_, features)| features.is_facet_searchable());
let is_facet_searchable =
matched_rule.map_or(false, |(_, features)| features.is_facet_searchable());
if !is_facet_searchable {
let matching_field_names =
filtered_matching_patterns(&filterable_attributes_rules, &|features| {
@ -85,7 +86,7 @@ impl<'a> SearchForFacetValues<'a> {
});
let (valid_patterns, hidden_fields) =
index.remove_hidden_fields(rtxn, matching_field_names)?;
// Get the matching rule index if any rule matched the attribute
let matching_rule_index = matched_rule.map(|(rule_index, _)| rule_index);

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@ -191,8 +191,9 @@ impl<'a> Search<'a> {
let filterable_fields = ctx.index.filterable_attributes_rules(ctx.txn)?;
// check if the distinct field is in the filterable fields
let matched_rule = matching_features(distinct, &filterable_fields);
let is_filterable = matched_rule.map_or(false, |(_, features)| features.is_filterable());
let is_filterable =
matched_rule.map_or(false, |(_, features)| features.is_filterable());
if !is_filterable {
// if not, remove the hidden fields from the filterable fields to generate the error message
let matching_patterns =
@ -201,10 +202,10 @@ impl<'a> Search<'a> {
});
let (valid_patterns, hidden_fields) =
ctx.index.remove_hidden_fields(ctx.txn, matching_patterns)?;
// Get the matching rule index if any rule matched the attribute
let matching_rule_index = matched_rule.map(|(rule_index, _)| rule_index);
// and return the error
return Err(Error::UserError(UserError::InvalidDistinctAttribute {
field: distinct.clone(),