mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-09-19 15:11:45 +02:00
Update charabia
This commit is contained in:
ManyTheFish
Louis Dureuil
parent
c26bd68de5
commit
cc02920f2b
37
Cargo.lock
generated
37
Cargo.lock
generated
@ -934,19 +934,15 @@ dependencies = [
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[[package]]
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name = "charabia"
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version = "0.8.12"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "9868a22f10dee80498a8a2b6c641d80bf28ea4495fcf71c2dc4836c2dd23958c"
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source = "git+https://github.com/meilisearch/charabia.git?branch=simplify-lang-detection#a95a9217265cee515708a679a2ed08ced1ac58a3"
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dependencies = [
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"aho-corasick",
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"cow-utils",
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"csv",
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"deunicode",
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"either",
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"fst",
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"irg-kvariants",
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"jieba-rs",
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"lindera",
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"litemap",
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"once_cell",
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"pinyin",
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"serde",
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@ -954,7 +950,6 @@ dependencies = [
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"unicode-normalization",
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"wana_kana",
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"whatlang",
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"zerovec",
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]
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[[package]]
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@ -1145,12 +1140,6 @@ version = "0.8.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "e496a50fda8aacccc86d7529e2c1e0892dbd0f898a6b5645b5561b89c3210efa"
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[[package]]
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name = "cow-utils"
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version = "0.1.2"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "79bb3adfaf5f75d24b01aee375f7555907840fa2800e5ec8fa3b9e2031830173"
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[[package]]
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name = "cpufeatures"
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version = "0.2.12"
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@ -1551,12 +1540,6 @@ dependencies = [
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"syn 2.0.60",
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]
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[[package]]
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name = "deunicode"
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version = "1.6.0"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "339544cc9e2c4dc3fc7149fd630c5f22263a4fdf18a98afd0075784968b5cf00"
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[[package]]
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name = "digest"
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version = "0.10.7"
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@ -2666,8 +2649,7 @@ checksum = "28b29a3cd74f0f4598934efe3aeba42bae0eb4680554128851ebbecb02af14e6"
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[[package]]
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name = "irg-kvariants"
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version = "0.1.1"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "ef2af7c331f2536964a32b78a7d2e0963d78b42f4a76323b16cc7d94b1ddce26"
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source = "git+https://github.com/meilisearch/charabia.git?branch=simplify-lang-detection#a95a9217265cee515708a679a2ed08ced1ac58a3"
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dependencies = [
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"csv",
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"once_cell",
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@ -3278,12 +3260,6 @@ dependencies = [
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"unicode-segmentation",
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]
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[[package]]
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name = "litemap"
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version = "0.7.3"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "643cb0b8d4fcc284004d5fd0d67ccf61dfffadb7f75e1e71bc420f4688a3a704"
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[[package]]
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name = "lmdb-master-sys"
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version = "0.2.2"
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@ -6506,15 +6482,6 @@ dependencies = [
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"syn 2.0.60",
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]
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[[package]]
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name = "zerovec"
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version = "0.10.4"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "aa2b893d79df23bfb12d5461018d408ea19dfafe76c2c7ef6d4eba614f8ff079"
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dependencies = [
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"zerofrom",
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]
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[[package]]
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name = "zip"
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version = "1.1.4"
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@ -17,7 +17,7 @@ bincode = "1.3.3"
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bstr = "1.9.1"
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bytemuck = { version = "1.16.1", features = ["extern_crate_alloc"] }
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byteorder = "1.5.0"
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charabia = { version = "0.8.12", default-features = false }
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charabia = { git = "https://github.com/meilisearch/charabia.git", branch = "simplify-lang-detection", default-features = false }
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concat-arrays = "0.1.2"
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crossbeam-channel = "0.5.13"
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deserr = "0.6.2"
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@ -1604,6 +1604,29 @@ impl Index {
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Ok(script_language)
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}
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pub fn languages(&self, rtxn: &RoTxn<'_>) -> heed::Result<Vec<Language>> {
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let mut script_language_doc_count: Vec<(Language, u64)> = Vec::new();
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let mut total = 0;
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for sl in self.script_language_docids.iter(rtxn)? {
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let ((_script, language), docids) = sl?;
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// keep only Languages that contains at least 1 document.
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let remaining_documents_count = docids.len();
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total += remaining_documents_count;
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if remaining_documents_count > 0 {
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script_language_doc_count.push((language, remaining_documents_count));
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}
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}
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let threshold = total / 20; // 5% (arbitrary)
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Ok(script_language_doc_count
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.into_iter()
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.filter(|(_, count)| *count > threshold)
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.map(|(language, _)| language)
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.collect())
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}
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/// Put the embedding configs:
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/// 1. The name of the embedder
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/// 2. The configuration option for this embedder
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@ -670,9 +670,9 @@ pub fn execute_search(
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tokbuilder.words_dict(dictionary);
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}
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let script_lang_map = ctx.index.script_language(ctx.txn)?;
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if !script_lang_map.is_empty() {
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tokbuilder.allow_list(&script_lang_map);
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let languages = ctx.index.languages(ctx.txn)?;
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if !languages.is_empty() {
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tokbuilder.allow_list(&languages);
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}
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let tokenizer = tokbuilder.build();
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@ -1,10 +1,9 @@
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use std::collections::HashMap;
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use std::convert::TryInto;
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use std::fs::File;
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use std::io::BufReader;
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use std::{io, mem, str};
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use charabia::{Language, Script, SeparatorKind, Token, TokenKind, Tokenizer, TokenizerBuilder};
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use charabia::{Language, SeparatorKind, Token, TokenKind, Tokenizer, TokenizerBuilder};
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use obkv::{KvReader, KvWriterU16};
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use roaring::RoaringBitmap;
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use serde_json::Value;
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@ -12,11 +11,9 @@ use serde_json::Value;
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use super::helpers::{create_sorter, keep_latest_obkv, sorter_into_reader, GrenadParameters};
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use crate::error::{InternalError, SerializationError};
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use crate::update::del_add::{del_add_from_two_obkvs, DelAdd, KvReaderDelAdd};
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use crate::update::settings::{InnerIndexSettings, InnerIndexSettingsDiff};
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use crate::update::settings::InnerIndexSettingsDiff;
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use crate::{FieldId, Result, MAX_POSITION_PER_ATTRIBUTE, MAX_WORD_LENGTH};
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pub type ScriptLanguageDocidsMap = HashMap<(Script, Language), (RoaringBitmap, RoaringBitmap)>;
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/// Extracts the word and positions where this word appear and
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/// prefixes it by the document id.
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///
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@ -28,7 +25,7 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
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indexer: GrenadParameters,
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settings_diff: &InnerIndexSettingsDiff,
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max_positions_per_attributes: Option<u32>,
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) -> Result<(grenad::Reader<BufReader<File>>, ScriptLanguageDocidsMap)> {
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) -> Result<grenad::Reader<BufReader<File>>> {
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let max_positions_per_attributes = max_positions_per_attributes
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.map_or(MAX_POSITION_PER_ATTRIBUTE, |max| max.min(MAX_POSITION_PER_ATTRIBUTE));
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let max_memory = indexer.max_memory_by_thread();
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@ -36,7 +33,6 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
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// initialize destination values.
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let mut documents_ids = RoaringBitmap::new();
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let mut script_language_docids = HashMap::new();
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let mut docid_word_positions_sorter = create_sorter(
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grenad::SortAlgorithm::Stable,
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keep_latest_obkv,
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@ -109,9 +105,9 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
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let (del, add): (Result<_>, Result<_>) = rayon::join(
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|| {
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// deletions
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lang_safe_tokens_from_document(
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tokens_from_document(
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&obkv,
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&settings_diff.old,
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&settings_diff.old.searchable_fields_ids,
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&del_tokenizer,
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max_positions_per_attributes,
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DelAdd::Deletion,
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@ -120,9 +116,9 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
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},
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|| {
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// additions
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lang_safe_tokens_from_document(
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tokens_from_document(
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&obkv,
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&settings_diff.new,
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&settings_diff.new.searchable_fields_ids,
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&add_tokenizer,
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max_positions_per_attributes,
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DelAdd::Addition,
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@ -131,8 +127,8 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
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},
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);
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let (del_obkv, del_script_language_word_count) = del?;
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let (add_obkv, add_script_language_word_count) = add?;
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let del_obkv = del?;
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let add_obkv = add?;
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// merge deletions and additions.
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// transforming two KV<FieldId, KV<u16, String>> into one KV<FieldId, KV<DelAdd, KV<u16, String>>>
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@ -150,31 +146,10 @@ pub fn extract_docid_word_positions<R: io::Read + io::Seek>(
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key_buffer.extend_from_slice(&field_id.to_be_bytes());
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docid_word_positions_sorter.insert(&key_buffer, value)?;
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}
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// update script_language_docids deletions.
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for (script, languages_frequency) in del_script_language_word_count {
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for (language, _) in languages_frequency {
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let entry = script_language_docids
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.entry((script, language))
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.or_insert_with(|| (RoaringBitmap::new(), RoaringBitmap::new()));
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entry.0.push(document_id);
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}
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}
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// update script_language_docids additions.
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for (script, languages_frequency) in add_script_language_word_count {
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for (language, _) in languages_frequency {
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let entry = script_language_docids
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.entry((script, language))
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.or_insert_with(|| (RoaringBitmap::new(), RoaringBitmap::new()));
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entry.1.push(document_id);
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}
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}
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}
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// the returned sorter is serialized as: key: (DocId, FieldId), value: KV<DelAdd, KV<u16, String>>.
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sorter_into_reader(docid_word_positions_sorter, indexer)
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.map(|reader| (reader, script_language_docids))
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}
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/// Check if any searchable fields of a document changed.
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@ -205,7 +180,7 @@ fn tokenizer_builder<'a>(
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stop_words: Option<&'a fst::Set<Vec<u8>>>,
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allowed_separators: Option<&'a [&str]>,
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dictionary: Option<&'a [&str]>,
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script_language: Option<&'a HashMap<Script, Vec<Language>>>,
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languages: Option<&'a Vec<Language>>,
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) -> TokenizerBuilder<'a, Vec<u8>> {
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let mut tokenizer_builder = TokenizerBuilder::new();
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if let Some(stop_words) = stop_words {
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@ -218,81 +193,13 @@ fn tokenizer_builder<'a>(
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tokenizer_builder.separators(separators);
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}
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if let Some(script_language) = script_language {
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tokenizer_builder.allow_list(script_language);
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if let Some(languages) = languages {
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tokenizer_builder.allow_list(languages);
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}
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tokenizer_builder
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}
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/// Extract words mapped with their positions of a document,
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/// ensuring no Language detection mistakes was made.
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fn lang_safe_tokens_from_document<'a>(
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obkv: &KvReader<'_, FieldId>,
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settings: &InnerIndexSettings,
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tokenizer: &Tokenizer<'_>,
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max_positions_per_attributes: u32,
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del_add: DelAdd,
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buffers: &'a mut Buffers,
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) -> Result<(&'a [u8], HashMap<Script, Vec<(Language, usize)>>)> {
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let mut script_language_word_count = HashMap::new();
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tokens_from_document(
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obkv,
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&settings.searchable_fields_ids,
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tokenizer,
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max_positions_per_attributes,
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del_add,
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buffers,
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&mut script_language_word_count,
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)?;
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// if we detect a potetial mistake in the language detection,
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// we rerun the extraction forcing the tokenizer to detect the most frequently detected Languages.
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// context: https://github.com/meilisearch/meilisearch/issues/3565
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if script_language_word_count
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.values()
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.map(Vec::as_slice)
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.any(potential_language_detection_error)
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{
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// build an allow list with the most frequent detected languages in the document.
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let script_language: HashMap<_, _> =
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script_language_word_count.iter().filter_map(most_frequent_languages).collect();
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// if the allow list is empty, meaning that no Language is considered frequent,
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// then we don't rerun the extraction.
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if !script_language.is_empty() {
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// build a new temporary tokenizer including the allow list.
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let stop_words = settings.stop_words.as_ref();
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let separators: Option<Vec<_>> = settings
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.allowed_separators
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.as_ref()
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.map(|s| s.iter().map(String::as_str).collect());
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let dictionary: Option<Vec<_>> =
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settings.dictionary.as_ref().map(|s| s.iter().map(String::as_str).collect());
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let mut builder =
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tokenizer_builder(stop_words, separators.as_deref(), dictionary.as_deref(), None);
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let tokenizer = builder.build();
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script_language_word_count.clear();
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// rerun the extraction.
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tokens_from_document(
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obkv,
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&settings.searchable_fields_ids,
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&tokenizer,
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max_positions_per_attributes,
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del_add,
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buffers,
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&mut script_language_word_count,
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)?;
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}
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}
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// returns a (KV<FieldId, KV<u16, String>>, HashMap<Script, Vec<(Language, usize)>>)
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Ok((&buffers.obkv_buffer, script_language_word_count))
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}
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/// Extract words mapped with their positions of a document.
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fn tokens_from_document<'a>(
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obkv: &KvReader<'a, FieldId>,
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@ -301,7 +208,6 @@ fn tokens_from_document<'a>(
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max_positions_per_attributes: u32,
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del_add: DelAdd,
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buffers: &'a mut Buffers,
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script_language_word_count: &mut HashMap<Script, Vec<(Language, usize)>>,
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) -> Result<&'a [u8]> {
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buffers.obkv_buffer.clear();
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let mut document_writer = KvWriterU16::new(&mut buffers.obkv_buffer);
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@ -326,16 +232,6 @@ fn tokens_from_document<'a>(
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.take_while(|(p, _)| (*p as u32) < max_positions_per_attributes);
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for (index, token) in tokens {
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// if a language has been detected for the token, we update the counter.
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if let Some(language) = token.language {
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let script = token.script;
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let entry = script_language_word_count.entry(script).or_default();
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match entry.iter_mut().find(|(l, _)| *l == language) {
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Some((_, n)) => *n += 1,
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None => entry.push((language, 1)),
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}
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}
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// keep a word only if it is not empty and fit in a LMDB key.
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let token = token.lemma().trim();
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if !token.is_empty() && token.len() <= MAX_WORD_LENGTH {
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@ -423,39 +319,6 @@ fn process_tokens<'a>(
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.filter(|(_, t)| t.is_word())
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}
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fn potential_language_detection_error(languages_frequency: &[(Language, usize)]) -> bool {
|
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if languages_frequency.len() > 1 {
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let threshold = compute_language_frequency_threshold(languages_frequency);
|
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languages_frequency.iter().any(|(_, c)| *c <= threshold)
|
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} else {
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false
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}
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}
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|
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fn most_frequent_languages(
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(script, languages_frequency): (&Script, &Vec<(Language, usize)>),
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) -> Option<(Script, Vec<Language>)> {
|
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if languages_frequency.len() > 1 {
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let threshold = compute_language_frequency_threshold(languages_frequency);
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let languages: Vec<_> =
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languages_frequency.iter().filter(|(_, c)| *c > threshold).map(|(l, _)| *l).collect();
|
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|
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if languages.is_empty() {
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None
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} else {
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Some((*script, languages))
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}
|
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} else {
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None
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}
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}
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fn compute_language_frequency_threshold(languages_frequency: &[(Language, usize)]) -> usize {
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let total: usize = languages_frequency.iter().map(|(_, c)| c).sum();
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total / 10 // 10% is a completely arbitrary value.
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}
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#[derive(Default)]
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struct Buffers {
|
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// the field buffer for each fields desserialization, and must be cleared between each field.
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@ -345,21 +345,17 @@ fn send_and_extract_flattened_documents_data(
|
||||
let (docid_word_positions_chunk, fid_docid_facet_values_chunks): (Result<_>, Result<_>) =
|
||||
rayon::join(
|
||||
|| {
|
||||
let (docid_word_positions_chunk, script_language_pair) =
|
||||
extract_docid_word_positions(
|
||||
flattened_documents_chunk.clone(),
|
||||
indexer,
|
||||
&settings_diff,
|
||||
max_positions_per_attributes,
|
||||
)?;
|
||||
let docid_word_positions_chunk = extract_docid_word_positions(
|
||||
flattened_documents_chunk.clone(),
|
||||
indexer,
|
||||
&settings_diff,
|
||||
max_positions_per_attributes,
|
||||
)?;
|
||||
|
||||
// send docid_word_positions_chunk to DB writer
|
||||
let docid_word_positions_chunk =
|
||||
unsafe { as_cloneable_grenad(&docid_word_positions_chunk)? };
|
||||
|
||||
let _ =
|
||||
lmdb_writer_sx.send(Ok(TypedChunk::ScriptLanguageDocids(script_language_pair)));
|
||||
|
||||
Ok(docid_word_positions_chunk)
|
||||
},
|
||||
|| {
|
||||
|
||||
@ -1,10 +1,9 @@
|
||||
use std::collections::{BTreeSet, HashMap};
|
||||
use std::collections::BTreeSet;
|
||||
use std::convert::TryInto;
|
||||
use std::fs::File;
|
||||
use std::io::{self, BufReader};
|
||||
|
||||
use bytemuck::allocation::pod_collect_to_vec;
|
||||
use charabia::{Language, Script};
|
||||
use grenad::{Merger, MergerBuilder};
|
||||
use heed::types::Bytes;
|
||||
use heed::{BytesDecode, RwTxn};
|
||||
@ -94,7 +93,6 @@ pub(crate) enum TypedChunk {
|
||||
add_to_user_provided: RoaringBitmap,
|
||||
remove_from_user_provided: RoaringBitmap,
|
||||
},
|
||||
ScriptLanguageDocids(HashMap<(Script, Language), (RoaringBitmap, RoaringBitmap)>),
|
||||
}
|
||||
|
||||
impl TypedChunk {
|
||||
@ -113,8 +111,7 @@ impl TypedChunk {
|
||||
| (FieldIdFacetExistsDocids(_), FieldIdFacetExistsDocids(_))
|
||||
| (FieldIdFacetIsNullDocids(_), FieldIdFacetIsNullDocids(_))
|
||||
| (FieldIdFacetIsEmptyDocids(_), FieldIdFacetIsEmptyDocids(_))
|
||||
| (GeoPoints(_), GeoPoints(_))
|
||||
| (ScriptLanguageDocids(_), ScriptLanguageDocids(_)) => true,
|
||||
| (GeoPoints(_), GeoPoints(_)) => true,
|
||||
(
|
||||
VectorPoints { embedder_name: left, expected_dimension: left_dim, .. },
|
||||
VectorPoints { embedder_name: right, expected_dimension: right_dim, .. },
|
||||
@ -775,33 +772,6 @@ pub(crate) fn write_typed_chunk_into_index(
|
||||
|
||||
tracing::debug!("Finished vector chunk for {}", embedder_name);
|
||||
}
|
||||
TypedChunk::ScriptLanguageDocids(_) => {
|
||||
let span = tracing::trace_span!(target: "indexing::write_db", "script_language_docids");
|
||||
let _entered = span.enter();
|
||||
|
||||
for typed_chunk in typed_chunks {
|
||||
let TypedChunk::ScriptLanguageDocids(sl_map) = typed_chunk else { unreachable!() };
|
||||
for (key, (deletion, addition)) in sl_map {
|
||||
let mut db_key_exists = false;
|
||||
let final_value = match index.script_language_docids.get(wtxn, &key)? {
|
||||
Some(db_values) => {
|
||||
db_key_exists = true;
|
||||
(db_values - deletion) | addition
|
||||
}
|
||||
None => addition,
|
||||
};
|
||||
|
||||
if final_value.is_empty() {
|
||||
// If the database entry exists, delete it.
|
||||
if db_key_exists {
|
||||
index.script_language_docids.delete(wtxn, &key)?;
|
||||
}
|
||||
} else {
|
||||
index.script_language_docids.put(wtxn, &key, &final_value)?;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok((RoaringBitmap::new(), is_merged_database))
|
||||
|
||||
Loading…
Reference in New Issue
Block a user