use std::{cmp, mem, vec, str, char}; use std::ops::{Deref, Range}; use std::error::Error; use std::hash::Hash; use std::rc::Rc; use group_by::GroupByMut; use hashbrown::HashMap; use fst::Streamer; use rocksdb::DB; use crate::automaton::{self, DfaExt, AutomatonExt}; use crate::rank::distinct_map::{DistinctMap, BufferedDistinctMap}; use crate::rank::criterion::Criteria; use crate::database::DatabaseView; use crate::{Match, DocumentId}; use crate::rank::Document; fn split_whitespace_automatons(query: &str) -> Vec { let has_end_whitespace = query.chars().last().map_or(false, char::is_whitespace); let mut automatons = Vec::new(); let mut words = query.split_whitespace().map(str::to_lowercase).peekable(); while let Some(word) = words.next() { let has_following_word = words.peek().is_some(); let lev = if has_following_word || has_end_whitespace { automaton::build_dfa(&word) } else { automaton::build_prefix_dfa(&word) }; automatons.push(lev); } automatons } pub struct QueryBuilder<'a, D> where D: Deref { view: &'a DatabaseView, criteria: Criteria, } impl<'a, D> QueryBuilder<'a, D> where D: Deref { pub fn new(view: &'a DatabaseView) -> Result> { QueryBuilder::with_criteria(view, Criteria::default()) } } impl<'a, D> QueryBuilder<'a, D> where D: Deref { pub fn with_criteria(view: &'a DatabaseView, criteria: Criteria) -> Result> { Ok(QueryBuilder { view, criteria }) } pub fn criteria(&mut self, criteria: Criteria) -> &mut Self { self.criteria = criteria; self } pub fn with_distinct(self, function: F, size: usize) -> DistinctQueryBuilder<'a, D, F> { DistinctQueryBuilder { inner: self, function: function, size: size } } fn query_all(&self, query: &str) -> Vec { let automatons = split_whitespace_automatons(query); let mut stream = { let mut op_builder = fst::map::OpBuilder::new(); for automaton in &automatons { let stream = self.view.blob().as_map().search(automaton); op_builder.push(stream); } op_builder.union() }; let mut matches = HashMap::new(); while let Some((input, indexed_values)) = stream.next() { for iv in indexed_values { let automaton = &automatons[iv.index]; let distance = automaton.eval(input).to_u8(); let is_exact = distance == 0 && input.len() == automaton.query_len(); let doc_indexes = self.view.blob().as_indexes(); let doc_indexes = &doc_indexes[iv.value as usize]; for doc_index in doc_indexes { let match_ = Match { query_index: iv.index as u32, distance: distance, attribute: doc_index.attribute, attribute_index: doc_index.attribute_index, is_exact: is_exact, }; matches.entry(doc_index.document_id).or_insert_with(Vec::new).push(match_); } } } matches.into_iter().map(|(id, matches)| Document::from_matches(id, matches)).collect() } } impl<'a, D> QueryBuilder<'a, D> where D: Deref, { pub fn query(&self, query: &str, range: Range) -> Vec { let mut documents = self.query_all(query); let mut groups = vec![documents.as_mut_slice()]; let view = &self.view; 'criteria: for criterion in self.criteria.as_ref() { let tmp_groups = mem::replace(&mut groups, Vec::new()); let mut documents_seen = 0; for group in tmp_groups { // if this group does not overlap with the requested range, // push it without sorting and splitting it if documents_seen + group.len() < range.start { documents_seen += group.len(); groups.push(group); continue; } group.sort_unstable_by(|a, b| criterion.evaluate(a, b, view)); for group in GroupByMut::new(group, |a, b| criterion.eq(a, b, view)) { documents_seen += group.len(); groups.push(group); // we have sort enough documents if the last document sorted is after // the end of the requested range, we can continue to the next criterion if documents_seen >= range.end { continue 'criteria } } } } // `drain` removes the documents efficiently using `ptr::copy` // TODO it could be more efficient to have a custom iterator let offset = cmp::min(documents.len(), range.start); documents.drain(0..offset); documents.truncate(range.len()); documents } } pub struct DistinctQueryBuilder<'a, D, F> where D: Deref { inner: QueryBuilder<'a, D>, function: F, size: usize, } impl<'a, D, F, K> DistinctQueryBuilder<'a, D, F> where D: Deref, F: Fn(DocumentId, &DatabaseView) -> Option, K: Hash + Eq, { pub fn query(&self, query: &str, limit: usize) -> Vec { let mut documents = self.inner.query_all(query); let mut groups = vec![documents.as_mut_slice()]; let view = &self.inner.view; for criterion in self.inner.criteria.as_ref() { let tmp_groups = mem::replace(&mut groups, Vec::new()); let mut seen = DistinctMap::new(self.size); 'group: for group in tmp_groups { group.sort_unstable_by(|a, b| criterion.evaluate(a, b, view)); for group in GroupByMut::new(group, |a, b| criterion.eq(a, b, view)) { for document in group.iter() { match (self.function)(document.id, view) { Some(key) => seen.register(key), None => seen.register_without_key(), }; } groups.push(group); if seen.len() >= limit { break 'group } } } } let mut out_documents = Vec::with_capacity(limit); let mut seen = DistinctMap::new(self.size); for document in documents { let accepted = match (self.function)(document.id, view) { Some(key) => seen.register(key), None => seen.register_without_key(), }; if accepted { out_documents.push(document); if out_documents.len() == limit { break } } } out_documents } }