meilisearch/meilisearch-http/src/index/search.rs

230 lines
7.4 KiB
Rust

use std::collections::{BTreeMap, HashSet};
use std::mem;
use std::time::Instant;
use anyhow::bail;
use either::Either;
use heed::RoTxn;
use meilisearch_tokenizer::{Analyzer, AnalyzerConfig};
use milli::{facet::FacetValue, FacetCondition, MatchingWords};
use serde::{Deserialize, Serialize};
use serde_json::{Map, Value};
use super::Index;
pub const DEFAULT_SEARCH_LIMIT: usize = 20;
const fn default_search_limit() -> usize {
DEFAULT_SEARCH_LIMIT
}
#[derive(Deserialize)]
#[serde(rename_all = "camelCase", deny_unknown_fields)]
pub struct SearchQuery {
pub q: Option<String>,
pub offset: Option<usize>,
#[serde(default = "default_search_limit")]
pub limit: usize,
pub attributes_to_retrieve: Option<Vec<String>>,
pub attributes_to_crop: Option<Vec<String>>,
pub crop_length: Option<usize>,
pub attributes_to_highlight: Option<HashSet<String>>,
pub filters: Option<String>,
pub matches: Option<bool>,
pub facet_filters: Option<Value>,
pub facet_distributions: Option<Vec<String>>,
}
#[derive(Serialize)]
#[serde(rename_all = "camelCase")]
pub struct SearchResult {
pub hits: Vec<Map<String, Value>>,
pub nb_hits: u64,
pub exhaustive_nb_hits: bool,
pub query: String,
pub limit: usize,
pub offset: usize,
pub processing_time_ms: u128,
#[serde(skip_serializing_if = "Option::is_none")]
pub facet_distributions: Option<BTreeMap<String, BTreeMap<FacetValue, u64>>>,
}
impl Index {
pub fn perform_search(&self, query: SearchQuery) -> anyhow::Result<SearchResult> {
let before_search = Instant::now();
let rtxn = self.read_txn()?;
let mut search = self.search(&rtxn);
if let Some(ref query) = query.q {
search.query(query);
}
search.limit(query.limit);
search.offset(query.offset.unwrap_or_default());
if let Some(ref facets) = query.facet_filters {
if let Some(facets) = parse_facets(facets, self, &rtxn)? {
search.facet_condition(facets);
}
}
let milli::SearchResult {
documents_ids,
matching_words,
candidates,
..
} = search.execute()?;
let mut documents = Vec::new();
let fields_ids_map = self.fields_ids_map(&rtxn).unwrap();
let fields_to_display =
self.fields_to_display(&rtxn, query.attributes_to_retrieve, &fields_ids_map)?;
let stop_words = fst::Set::default();
let highlighter = Highlighter::new(&stop_words);
for (_id, obkv) in self.documents(&rtxn, documents_ids)? {
let mut object =
milli::obkv_to_json(&fields_to_display, &fields_ids_map, obkv).unwrap();
if let Some(ref attributes_to_highlight) = query.attributes_to_highlight {
highlighter.highlight_record(&mut object, &matching_words, attributes_to_highlight);
}
documents.push(object);
}
let nb_hits = candidates.len();
let facet_distributions = match query.facet_distributions {
Some(ref fields) => {
let mut facet_distribution = self.facets_distribution(&rtxn);
if fields.iter().all(|f| f != "*") {
facet_distribution.facets(fields);
}
Some(facet_distribution.candidates(candidates).execute()?)
}
None => None,
};
let result = SearchResult {
exhaustive_nb_hits: false, // not implemented yet
hits: documents,
nb_hits,
query: query.q.clone().unwrap_or_default(),
limit: query.limit,
offset: query.offset.unwrap_or_default(),
processing_time_ms: before_search.elapsed().as_millis(),
facet_distributions,
};
Ok(result)
}
}
fn parse_facets_array(
txn: &RoTxn,
index: &Index,
arr: &[Value],
) -> anyhow::Result<Option<FacetCondition>> {
let mut ands = Vec::new();
for value in arr {
match value {
Value::String(s) => ands.push(Either::Right(s.clone())),
Value::Array(arr) => {
let mut ors = Vec::new();
for value in arr {
match value {
Value::String(s) => ors.push(s.clone()),
v => bail!("Invalid facet expression, expected String, found: {:?}", v),
}
}
ands.push(Either::Left(ors));
}
v => bail!(
"Invalid facet expression, expected String or [String], found: {:?}",
v
),
}
}
FacetCondition::from_array(txn, &index.0, ands)
}
pub struct Highlighter<'a, A> {
analyzer: Analyzer<'a, A>,
}
impl<'a, A: AsRef<[u8]>> Highlighter<'a, A> {
pub fn new(stop_words: &'a fst::Set<A>) -> Self {
let analyzer = Analyzer::new(AnalyzerConfig::default_with_stopwords(stop_words));
Self { analyzer }
}
pub fn highlight_value(&self, value: Value, words_to_highlight: &MatchingWords) -> Value {
match value {
Value::Null => Value::Null,
Value::Bool(boolean) => Value::Bool(boolean),
Value::Number(number) => Value::Number(number),
Value::String(old_string) => {
let mut string = String::new();
let analyzed = self.analyzer.analyze(&old_string);
for (word, token) in analyzed.reconstruct() {
if token.is_word() {
let to_highlight = words_to_highlight.matches(token.text());
if to_highlight {
string.push_str("<mark>")
}
string.push_str(word);
if to_highlight {
string.push_str("</mark>")
}
} else {
string.push_str(word);
}
}
Value::String(string)
}
Value::Array(values) => Value::Array(
values
.into_iter()
.map(|v| self.highlight_value(v, words_to_highlight))
.collect(),
),
Value::Object(object) => Value::Object(
object
.into_iter()
.map(|(k, v)| (k, self.highlight_value(v, words_to_highlight)))
.collect(),
),
}
}
pub fn highlight_record(
&self,
object: &mut Map<String, Value>,
words_to_highlight: &MatchingWords,
attributes_to_highlight: &HashSet<String>,
) {
// TODO do we need to create a string for element that are not and needs to be highlight?
for (key, value) in object.iter_mut() {
if attributes_to_highlight.contains(key) {
let old_value = mem::take(value);
*value = self.highlight_value(old_value, words_to_highlight);
}
}
}
}
fn parse_facets(
facets: &Value,
index: &Index,
txn: &RoTxn,
) -> anyhow::Result<Option<FacetCondition>> {
match facets {
// Disabled for now
//Value::String(expr) => Ok(Some(FacetCondition::from_str(txn, index, expr)?)),
Value::Array(arr) => parse_facets_array(txn, index, arr),
v => bail!("Invalid facet expression, expected Array, found: {:?}", v),
}
}