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implement a first version of the stop_words

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The front must provide a BTreeSet containing the stop words
The stop_words are set at None if an empty Set is provided
add the stop-words in the http-ui interface

Use maplit in the test
and remove all the useless drop(rtxn) at the end of all tests
This commit is contained in:
tamo 2021-03-29 19:15:47 +02:00
parent 62a8f1d707
commit a2f46029c7
No known key found for this signature in database
GPG Key ID: 20CD8020AFA88D69
7 changed files with 203 additions and 56 deletions
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22
http-ui/src/main.rs
View File

@ -1,4 +1,4 @@
use std::collections::{BTreeMap, HashMap, HashSet};
use std::collections::{BTreeMap, BTreeSet, HashMap, HashSet};
use std::fmt::Display;
use std::fs::{File, create_dir_all};
use std::net::SocketAddr;
@ -128,7 +128,10 @@ struct Highlighter<'a, A> {
impl<'a, A: AsRef<[u8]>> Highlighter<'a, A> {
fn new(stop_words: &'a fst::Set<A>) -> Self {
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let mut config = AnalyzerConfig::default();
config.stop_words(stop_words);
let analyzer = Analyzer::new(config);
Self { analyzer }
}
@ -266,6 +269,13 @@ struct Settings {
skip_serializing_if = "Option::is_none",
)]
criteria: Option<Option<Vec<String>>>,
#[serde(
default,
deserialize_with = "deserialize_some",
skip_serializing_if = "Option::is_none",
)]
stop_words: Option<Option<BTreeSet<String>>>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
@ -439,6 +449,14 @@ async fn main() -> anyhow::Result<()> {
}
}
// We transpose the settings JSON struct into a real setting update.
if let Some(stop_words) = settings.stop_words {
match stop_words {
Some(stop_words) => builder.set_stop_words(stop_words),
None => builder.reset_stop_words(),
}
}
let result = builder.execute(|indexing_step, update_id| {
let (current, total) = match indexing_step {
TransformFromUserIntoGenericFormat { documents_seen } => (documents_seen, None),

17
milli/src/index.rs
View File

@ -28,6 +28,7 @@ pub const SEARCHABLE_FIELDS_KEY: &str = "searchable-fields";
pub const HARD_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "hard-external-documents-ids";
pub const SOFT_EXTERNAL_DOCUMENTS_IDS_KEY: &str = "soft-external-documents-ids";
pub const WORDS_FST_KEY: &str = "words-fst";
pub const STOP_WORDS_KEY: &str = "stop-words";
pub const WORDS_PREFIXES_FST_KEY: &str = "words-prefixes-fst";
const CREATED_AT_KEY: &str = "created-at";
const UPDATED_AT_KEY: &str = "updated-at";
@ -377,6 +378,22 @@ impl Index {
}
}
/* stop words */
pub fn put_stop_words<A: AsRef<[u8]>>(&self, wtxn: &mut RwTxn, fst: &fst::Set<A>) -> heed::Result<()> {
self.main.put::<_, Str, ByteSlice>(wtxn, STOP_WORDS_KEY, fst.as_fst().as_bytes())
}
pub fn delete_stop_words(&self, wtxn: &mut RwTxn) -> heed::Result<bool> {
self.main.delete::<_, Str>(wtxn, STOP_WORDS_KEY)
}
pub fn stop_words<'t>(&self, rtxn: &'t RoTxn) -> anyhow::Result<Option<fst::Set<&'t [u8]>>> {
match self.main.get::<_, Str, ByteSlice>(rtxn, STOP_WORDS_KEY)? {
Some(bytes) => Ok(Some(fst::Set::new(bytes)?)),
None => Ok(None),
}
}
/* words prefixes fst */
/// Writes the FST which is the words prefixes dictionnary of the engine.

5
milli/src/search/mod.rs
View File

@ -4,7 +4,7 @@ use std::fmt;
use std::str::Utf8Error;
use std::time::Instant;
use fst::{IntoStreamer, Streamer, Set};
use fst::{IntoStreamer, Streamer};
use levenshtein_automata::{DFA, LevenshteinAutomatonBuilder as LevBuilder};
use log::debug;
use meilisearch_tokenizer::{AnalyzerConfig, Analyzer};
@ -91,8 +91,7 @@ impl<'a> Search<'a> {
let mut builder = QueryTreeBuilder::new(self.rtxn, self.index);
builder.optional_words(self.optional_words);
builder.authorize_typos(self.authorize_typos);
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::<Vec<u8>>::new(AnalyzerConfig::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
builder.build(tokens)?

37
milli/src/search/query_tree.rs
View File

@ -543,7 +543,6 @@ pub fn maximum_proximity(operation: &Operation) -> usize {
mod test {
use std::collections::HashMap;
use fst::Set;
use maplit::{hashmap, hashset};
use meilisearch_tokenizer::{Analyzer, AnalyzerConfig};
use rand::{Rng, SeedableRng, rngs::StdRng};
@ -646,8 +645,7 @@ mod test {
#[test]
fn prefix() {
let query = "hey friends";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -667,8 +665,7 @@ mod test {
#[test]
fn no_prefix() {
let query = "hey friends ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -688,8 +685,7 @@ mod test {
#[test]
fn synonyms() {
let query = "hello world ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -720,8 +716,7 @@ mod test {
#[test]
fn complex_synonyms() {
let query = "new york city ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -766,8 +761,7 @@ mod test {
#[test]
fn ngrams() {
let query = "n grams ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -787,8 +781,7 @@ mod test {
#[test]
fn word_split() {
let query = "wordsplit fish ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -814,8 +807,7 @@ mod test {
#[test]
fn phrase() {
let query = "\"hey friends\" \" \" \"wooop";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -835,8 +827,7 @@ mod test {
#[test]
fn optional_word() {
let query = "hey my friend ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -875,8 +866,7 @@ mod test {
#[test]
fn optional_word_phrase() {
let query = "\"hey my\"";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -892,8 +882,7 @@ mod test {
#[test]
fn optional_word_multiple_phrases() {
let query = r#""hey" my good "friend""#;
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -927,8 +916,7 @@ mod test {
#[test]
fn no_typo() {
let query = "hey friends ";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
@ -947,8 +935,7 @@ mod test {
#[test]
fn fetching_words() {
let query = "wordsplit nyc world";
let stop_words = &Set::default();
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();

5
milli/src/update/index_documents/mod.rs
View File

@ -410,6 +410,8 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
None => fields_ids_map.iter().map(|(id, _name)| id).collect(),
};
let stop_words = self.index.stop_words(self.wtxn)?;
let stop_words = stop_words.as_ref();
let linked_hash_map_size = self.linked_hash_map_size;
let max_nb_chunks = self.max_nb_chunks;
let max_memory = self.max_memory;
@ -436,7 +438,6 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
let readers = rayon::iter::repeatn(documents, num_threads)
.enumerate()
.map(|(i, documents)| {
let stop_words = fst::Set::default();
let store = Store::new(
searchable_fields.clone(),
faceted_fields.clone(),
@ -446,7 +447,7 @@ impl<'t, 'u, 'i, 'a> IndexDocuments<'t, 'u, 'i, 'a> {
chunk_compression_type,
chunk_compression_level,
chunk_fusing_shrink_size,
&stop_words,
stop_words,
)?;
store.index(
documents,

8
milli/src/update/index_documents/store.rs
View File

@ -86,7 +86,7 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
chunk_compression_type: CompressionType,
chunk_compression_level: Option<u32>,
chunk_fusing_shrink_size: Option<u64>,
stop_words: &'s Set<A>,
stop_words: Option<&'s Set<A>>,
) -> anyhow::Result<Self>
{
// We divide the max memory by the number of sorter the Store have.
@ -141,7 +141,11 @@ impl<'s, A: AsRef<[u8]>> Store<'s, A> {
create_writer(chunk_compression_type, chunk_compression_level, f)
})?;
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
let mut config = AnalyzerConfig::default();
if let Some(stop_words) = stop_words {
config.stop_words(stop_words);
}
let analyzer = Analyzer::new(config);
Ok(Store {
// Indexing parameters.

139
milli/src/update/settings.rs
View File

@ -1,4 +1,4 @@
use std::collections::HashMap;
use std::collections::{BTreeSet, HashMap};
use std::str::FromStr;
use anyhow::Context;
@ -32,6 +32,7 @@ pub struct Settings<'a, 't, 'u, 'i> {
displayed_fields: Option<Option<Vec<String>>>,
faceted_fields: Option<Option<HashMap<String, String>>>,
criteria: Option<Option<Vec<String>>>,
stop_words: Option<Option<BTreeSet<String>>>,
}
impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
@ -55,6 +56,7 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
displayed_fields: None,
faceted_fields: None,
criteria: None,
stop_words: None,
update_id,
}
}
@ -91,6 +93,18 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
self.criteria = Some(Some(criteria));
}
pub fn reset_stop_words(&mut self) {
self.stop_words = Some(None);
}
pub fn set_stop_words(&mut self, stop_words: BTreeSet<String>) {
self.stop_words = if stop_words.is_empty() {
Some(None)
} else {
Some(Some(stop_words))
}
}
fn reindex<F>(&mut self, cb: &F, old_fields_ids_map: FieldsIdsMap) -> anyhow::Result<()>
where
F: Fn(UpdateIndexingStep, u64) + Sync
@ -210,6 +224,28 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
Ok(true)
}
fn update_stop_words(&mut self) -> anyhow::Result<bool> {
match self.stop_words {
Some(Some(ref stop_words)) => {
let current = self.index.stop_words(self.wtxn)?;
// since we can't compare a BTreeSet with an FST we are going to convert the
// BTreeSet to an FST and then compare bytes per bytes the two FSTs.
let fst = fst::Set::from_iter(&*stop_words)?;
// Does the new FST differ from the previous one?
if current.map_or(true, |current| current.as_fst().as_bytes() != fst.as_fst().as_bytes()) {
// we want to re-create our FST.
self.index.put_stop_words(self.wtxn, &fst)?;
Ok(true)
} else {
Ok(false)
}
}
Some(None) => Ok(self.index.delete_stop_words(self.wtxn)?),
None => Ok(false),
}
}
fn update_facets(&mut self) -> anyhow::Result<bool> {
match self.faceted_fields {
Some(Some(ref fields)) => {
@ -253,13 +289,14 @@ impl<'a, 't, 'u, 'i> Settings<'a, 't, 'u, 'i> {
self.index.set_updated_at(self.wtxn, &Utc::now())?;
let old_fields_ids_map = self.index.fields_ids_map(&self.wtxn)?;
self.update_displayed()?;
let stop_words_updated = self.update_stop_words()?;
let facets_updated = self.update_facets()?;
// update_criteria MUST be called after update_facets, since criterion fields must be set
// as facets.
self.update_criteria()?;
let searchable_updated = self.update_searchable()?;
if facets_updated || searchable_updated {
if facets_updated || searchable_updated || stop_words_updated {
self.reindex(&progress_callback, old_fields_ids_map)?;
}
Ok(())
@ -271,7 +308,7 @@ mod tests {
use super::*;
use heed::EnvOpenOptions;
use maplit::hashmap;
use maplit::{hashmap, btreeset};
use crate::facet::FacetType;
use crate::update::{IndexDocuments, UpdateFormat};
@ -328,7 +365,6 @@ mod tests {
assert_eq!(result.documents_ids.len(), 1);
let documents = index.documents(&rtxn, result.documents_ids).unwrap();
assert_eq!(documents[0].1.get(0), Some(&br#""kevin""#[..]));
drop(rtxn);
}
#[test]
@ -372,7 +408,6 @@ mod tests {
let rtxn = index.read_txn().unwrap();
let fields_ids = index.displayed_fields(&rtxn).unwrap();
assert_eq!(fields_ids.unwrap(), &["age"][..]);
drop(rtxn);
}
#[test]
@ -394,7 +429,6 @@ mod tests {
let rtxn = index.read_txn().unwrap();
let fields_ids = index.displayed_fields(&rtxn).unwrap();
assert_eq!(fields_ids, None);
drop(rtxn);
}
#[test]
@ -434,7 +468,6 @@ mod tests {
let rtxn = index.read_txn().unwrap();
let fields_ids = index.displayed_fields(&rtxn).unwrap();
assert_eq!(fields_ids, None);
drop(rtxn);
}
#[test]
@ -478,7 +511,96 @@ mod tests {
// Only count the field_id 0 and level 0 facet values.
let count = index.facet_field_id_value_docids.prefix_iter(&rtxn, &[0, 0]).unwrap().count();
assert_eq!(count, 4);
drop(rtxn);
}
#[test]
fn default_stop_words() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with ids from 1 to 3.
let mut wtxn = index.write_txn().unwrap();
let content = &b"name,age\nkevin,23\nkevina,21\nbenoit,34\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
wtxn.commit().unwrap();
// Ensure there is no stop_words by default
let rtxn = index.read_txn().unwrap();
let stop_words = index.stop_words(&rtxn).unwrap();
assert!(stop_words.is_none());
}
#[test]
fn set_and_reset_stop_words() {
let path = tempfile::tempdir().unwrap();
let mut options = EnvOpenOptions::new();
options.map_size(10 * 1024 * 1024); // 10 MB
let index = Index::new(options, &path).unwrap();
// First we send 3 documents with ids from 1 to 3.
let mut wtxn = index.write_txn().unwrap();
let content = &b"name,age,maxim\nkevin,23,I love dogs\nkevina,21,Doggos are the best\nbenoit,34,The crepes are really good\n"[..];
let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
builder.update_format(UpdateFormat::Csv);
builder.execute(content, |_, _| ()).unwrap();
// In the same transaction we provide some stop_words
let mut builder = Settings::new(&mut wtxn, &index, 0);
let set = btreeset!{ "i".to_string(), "the".to_string(), "are".to_string() };
builder.set_stop_words(set.clone());
builder.execute(|_, _| ()).unwrap();
wtxn.commit().unwrap();
// Ensure stop_words are effectively stored
let rtxn = index.read_txn().unwrap();
let stop_words = index.stop_words(&rtxn).unwrap();
assert!(stop_words.is_some()); // at this point the index should return something
let stop_words = stop_words.unwrap();
let expected = fst::Set::from_iter(&set).unwrap();
assert_eq!(stop_words.as_fst().as_bytes(), expected.as_fst().as_bytes());
// when we search for something that is a non prefix stop_words it should be ignored
let result = index.search(&rtxn).query("the ").execute().unwrap();
assert!(result.documents_ids.is_empty());
let result = index.search(&rtxn).query("i ").execute().unwrap();
assert!(result.documents_ids.is_empty());
let result = index.search(&rtxn).query("are ").execute().unwrap();
assert!(result.documents_ids.is_empty());
let result = index.search(&rtxn).query("dog").execute().unwrap();
assert_eq!(result.documents_ids.len(), 2); // we have two maxims talking about doggos
let result = index.search(&rtxn).query("benoît").execute().unwrap();
assert_eq!(result.documents_ids.len(), 1); // there is one benoit in our data
// now we'll reset the stop_words and ensure it's None
let mut wtxn = index.write_txn().unwrap();
let mut builder = Settings::new(&mut wtxn, &index, 0);
builder.reset_stop_words();
builder.execute(|_, _| ()).unwrap();
wtxn.commit().unwrap();
let rtxn = index.read_txn().unwrap();
let stop_words = index.stop_words(&rtxn).unwrap();
assert!(stop_words.is_none());
// now we can search for the stop words
let result = index.search(&rtxn).query("the").execute().unwrap();
assert_eq!(result.documents_ids.len(), 2);
let result = index.search(&rtxn).query("i").execute().unwrap();
assert_eq!(result.documents_ids.len(), 1);
let result = index.search(&rtxn).query("are").execute().unwrap();
assert_eq!(result.documents_ids.len(), 2);
// the rest of the search is still not impacted
let result = index.search(&rtxn).query("dog").execute().unwrap();
assert_eq!(result.documents_ids.len(), 2); // we have two maxims talking about doggos
let result = index.search(&rtxn).query("benoît").execute().unwrap();
assert_eq!(result.documents_ids.len(), 1); // there is one benoit in our data
}
#[test]
@ -519,6 +641,5 @@ mod tests {
assert_eq!(&["hello"][..], index.displayed_fields(&rtxn).unwrap().unwrap());
assert!(index.primary_key(&rtxn).unwrap().is_none());
assert_eq!(vec![Criterion::Asc("toto".to_string())], index.criteria(&rtxn).unwrap());
drop(rtxn);
}
}