use std::collections::HashMap; use std::hash::BuildHasherDefault; use std::time::Instant; use cow_utils::CowUtils; use fst::{IntoStreamer, Streamer}; use fxhash::FxHasher32; use heed::types::*; use heed::{PolyDatabase, Database}; use levenshtein_automata::LevenshteinAutomatonBuilder as LevBuilder; use once_cell::sync::OnceCell; use roaring::RoaringBitmap; use slice_group_by::StrGroupBy; static LEVDIST0: OnceCell = OnceCell::new(); static LEVDIST1: OnceCell = OnceCell::new(); static LEVDIST2: OnceCell = OnceCell::new(); pub type FastMap4 = HashMap>; pub type SmallString32 = smallstr::SmallString<[u8; 32]>; pub type SmallVec32 = smallvec::SmallVec<[u8; 32]>; pub type BEU32 = heed::zerocopy::U32; pub type DocumentId = u32; pub fn alphanumeric_tokens(string: &str) -> impl Iterator { let is_alphanumeric = |s: &&str| s.chars().next().map_or(false, char::is_alphanumeric); string.linear_group_by_key(|c| c.is_alphanumeric()).filter(is_alphanumeric) } #[derive(Clone)] pub struct Index { pub main: PolyDatabase, pub postings_ids: Database, pub prefix_postings_ids: Database, pub documents: Database, ByteSlice>, } impl Index { pub fn new(env: &heed::Env) -> heed::Result { let main = env.create_poly_database(None)?; let postings_ids = env.create_database(Some("postings-ids"))?; let prefix_postings_ids = env.create_database(Some("prefix-postings-ids"))?; let documents = env.create_database(Some("documents"))?; Ok(Index { main, postings_ids, prefix_postings_ids, documents }) } pub fn headers<'t>(&self, rtxn: &'t heed::RoTxn) -> heed::Result> { self.main.get::<_, Str, ByteSlice>(rtxn, "headers") } pub fn search(&self, rtxn: &heed::RoTxn, query: &str) -> anyhow::Result> { let fst = match self.main.get::<_, Str, ByteSlice>(rtxn, "words-fst")? { Some(bytes) => fst::Set::new(bytes)?, None => return Ok(Vec::new()), }; // Building these factories is not free. let lev0 = LEVDIST0.get_or_init(|| LevBuilder::new(0, true)); let lev1 = LEVDIST1.get_or_init(|| LevBuilder::new(1, true)); let lev2 = LEVDIST2.get_or_init(|| LevBuilder::new(2, true)); let words: Vec<_> = alphanumeric_tokens(query).collect(); let ends_with_whitespace = query.chars().last().map_or(false, char::is_whitespace); let number_of_words = words.len(); let dfas = words.into_iter().enumerate().map(|(i, word)| { let word = word.cow_to_lowercase(); let is_last = i + 1 == number_of_words; let is_prefix = is_last && !ends_with_whitespace; let dfa = match word.len() { 0..=4 => if is_prefix { lev0.build_prefix_dfa(&word) } else { lev0.build_dfa(&word) }, 5..=8 => if is_prefix { lev1.build_prefix_dfa(&word) } else { lev1.build_dfa(&word) }, _ => if is_prefix { lev2.build_prefix_dfa(&word) } else { lev2.build_dfa(&word) }, }; (word, dfa) }); let mut intersect_result: Option = None; for (word, dfa) in dfas { let before = Instant::now(); let mut union_result = RoaringBitmap::default(); let count = if word.len() <= 4 { if let Some(ids) = self.prefix_postings_ids.get(rtxn, &word[..word.len().min(5)])? { union_result = RoaringBitmap::deserialize_from(ids)?; } 1 } else { let mut count = 0; let mut stream = fst.search(dfa).into_stream(); while let Some(word) = stream.next() { count += 1; let word = std::str::from_utf8(word)?; if let Some(ids) = self.postings_ids.get(rtxn, word)? { let right = RoaringBitmap::deserialize_from(ids)?; union_result.union_with(&right); } } count }; eprintln!("with {:?} words union for {:?} gives {:?} took {:.02?}", count, word, union_result.len(), before.elapsed()); match &mut intersect_result { Some(left) => { let before = Instant::now(); let left_len = left.len(); left.intersect_with(&union_result); eprintln!("intersect between {:?} and {:?} gives {:?} took {:.02?}", left_len, union_result.len(), left.len(), before.elapsed()); }, None => intersect_result = Some(union_result), } } eprintln!("{} candidates", intersect_result.as_ref().map_or(0, |r| r.len())); Ok(intersect_result.unwrap_or_default().iter().take(20).collect()) } }