MeiliSearch/milli/src/search/query_tree.rs
2021-04-20 12:22:04 +03:00

1005 lines
39 KiB
Rust

use std::collections::HashSet;
use std::{fmt, cmp, mem};
use fst::Set;
use levenshtein_automata::{DFA, Distance};
use meilisearch_tokenizer::{TokenKind, tokenizer::TokenStream};
use roaring::RoaringBitmap;
use slice_group_by::GroupBy;
use crate::Index;
use super::build_dfa;
type IsOptionalWord = bool;
type IsPrefix = bool;
#[derive(Clone, PartialEq, Eq, Hash)]
pub enum Operation {
And(Vec<Operation>),
Consecutive(Vec<Operation>),
Or(IsOptionalWord, Vec<Operation>),
Query(Query),
}
impl fmt::Debug for Operation {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
fn pprint_tree(f: &mut fmt::Formatter<'_>, op: &Operation, depth: usize) -> fmt::Result {
match op {
Operation::And(children) => {
writeln!(f, "{:1$}AND", "", depth * 2)?;
children.iter().try_for_each(|c| pprint_tree(f, c, depth + 1))
},
Operation::Consecutive(children) => {
writeln!(f, "{:1$}CONSECUTIVE", "", depth * 2)?;
children.iter().try_for_each(|c| pprint_tree(f, c, depth + 1))
},
Operation::Or(true, children) => {
writeln!(f, "{:1$}OR(WORD)", "", depth * 2)?;
children.iter().try_for_each(|c| pprint_tree(f, c, depth + 1))
},
Operation::Or(false, children) => {
writeln!(f, "{:1$}OR", "", depth * 2)?;
children.iter().try_for_each(|c| pprint_tree(f, c, depth + 1))
},
Operation::Query(query) => writeln!(f, "{:2$}{:?}", "", query, depth * 2),
}
}
pprint_tree(f, self, 0)
}
}
impl Operation {
fn phrase(words: Vec<String>) -> Operation {
Operation::consecutive(
words.into_iter().map(|s| {
Operation::Query(Query { prefix: false, kind: QueryKind::exact(s) })
}).collect()
)
}
fn and(mut ops: Vec<Self>) -> Self {
if ops.len() == 1 {
ops.pop().unwrap()
} else {
Self::And(ops)
}
}
pub fn or(word_branch: IsOptionalWord, mut ops: Vec<Self>) -> Self {
if ops.len() == 1 {
ops.pop().unwrap()
} else {
Self::Or(word_branch, ops)
}
}
fn consecutive(mut ops: Vec<Self>) -> Self {
if ops.len() == 1 {
ops.pop().unwrap()
} else {
Self::Consecutive(ops)
}
}
pub fn query(&self) -> Option<&Query> {
match self {
Operation::Query(query) => Some(query),
_ => None,
}
}
}
#[derive(Clone, Eq, PartialEq, Hash)]
pub struct Query {
pub prefix: IsPrefix,
pub kind: QueryKind,
}
#[derive(Debug, Clone, PartialEq, Eq, Hash)]
pub enum QueryKind {
Tolerant { typo: u8, word: String },
Exact { original_typo: u8, word: String },
}
impl QueryKind {
pub fn exact(word: String) -> Self {
QueryKind::Exact { original_typo: 0, word }
}
pub fn exact_with_typo(original_typo: u8, word: String) -> Self {
QueryKind::Exact { original_typo, word }
}
pub fn tolerant(typo: u8, word: String) -> Self {
QueryKind::Tolerant { typo, word }
}
pub fn is_tolerant(&self) -> bool {
matches!(self, QueryKind::Tolerant { .. })
}
pub fn is_exact(&self) -> bool {
matches!(self, QueryKind::Exact { .. })
}
pub fn typo(&self) -> u8 {
match self {
QueryKind::Tolerant { typo, .. } => *typo,
QueryKind::Exact { original_typo, .. } => *original_typo,
}
}
pub fn word(&self) -> &str {
match self {
QueryKind::Tolerant { word, .. } => word,
QueryKind::Exact { word, .. } => word,
}
}
}
impl fmt::Debug for Query {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
let Query { prefix, kind } = self;
let prefix = if *prefix { String::from("Prefix") } else { String::default() };
match kind {
QueryKind::Exact { word, .. } => {
f.debug_struct(&(prefix + "Exact")).field("word", &word).finish()
},
QueryKind::Tolerant { typo, word } => {
f.debug_struct(&(prefix + "Tolerant")).field("word", &word).field("max typo", &typo).finish()
},
}
}
}
trait Context {
fn word_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>>;
fn synonyms<S: AsRef<str>>(&self, words: &[S]) -> heed::Result<Option<Vec<Vec<String>>>>;
fn word_documents_count(&self, word: &str) -> heed::Result<Option<u64>> {
match self.word_docids(word)? {
Some(rb) => Ok(Some(rb.len())),
None => Ok(None),
}
}
}
/// The query tree builder is the interface to build a query tree.
pub struct QueryTreeBuilder<'a> {
rtxn: &'a heed::RoTxn<'a>,
index: &'a Index,
optional_words: bool,
authorize_typos: bool,
words_limit: Option<usize>,
}
impl<'a> Context for QueryTreeBuilder<'a> {
fn word_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>> {
self.index.word_docids.get(self.rtxn, word)
}
fn synonyms<S: AsRef<str>>(&self, words: &[S]) -> heed::Result<Option<Vec<Vec<String>>>> {
self.index.words_synonyms(self.rtxn, words)
}
fn word_documents_count(&self, word: &str) -> heed::Result<Option<u64>> {
self.index.word_documents_count(self.rtxn, word)
}
}
impl<'a> QueryTreeBuilder<'a> {
/// Create a `QueryTreeBuilder` from a heed ReadOnly transaction `rtxn`
/// and an Index `index`.
pub fn new(rtxn: &'a heed::RoTxn<'a>, index: &'a Index) -> Self {
Self { rtxn, index, optional_words: true, authorize_typos: true, words_limit: None }
}
/// if `optional_words` is set to `false` the query tree will be
/// generated forcing all query words to be present in each matching documents
/// (the criterion `words` will be ignored).
/// default value if not called: `true`
#[allow(unused)]
pub fn optional_words(&mut self, optional_words: bool) -> &mut Self {
self.optional_words = optional_words;
self
}
/// if `authorize_typos` is set to `false` the query tree will be generated
/// forcing all query words to match documents without any typo
/// (the criterion `typo` will be ignored).
/// default value if not called: `true`
#[allow(unused)]
pub fn authorize_typos(&mut self, authorize_typos: bool) -> &mut Self {
self.authorize_typos = authorize_typos;
self
}
/// Limit words and phrases that will be taken for query building.
/// Any beyond `words_limit` will be ignored.
pub fn words_limit(&mut self, words_limit: usize) -> &mut Self {
self.words_limit = Some(words_limit);
self
}
/// Build the query tree:
/// - if `optional_words` is set to `false` the query tree will be
/// generated forcing all query words to be present in each matching documents
/// (the criterion `words` will be ignored)
/// - if `authorize_typos` is set to `false` the query tree will be generated
/// forcing all query words to match documents without any typo
/// (the criterion `typo` will be ignored)
pub fn build(&self, query: TokenStream) -> anyhow::Result<Option<Operation>> {
let stop_words = self.index.stop_words(self.rtxn)?;
let primitive_query = create_primitive_query(query, stop_words, self.words_limit);
if !primitive_query.is_empty() {
create_query_tree(self, self.optional_words, self.authorize_typos, primitive_query).map(Some)
} else {
Ok(None)
}
}
}
/// Split the word depending on the frequency of subwords in the database documents.
fn split_best_frequency<'a>(ctx: &impl Context, word: &'a str) -> heed::Result<Option<Operation>> {
let chars = word.char_indices().skip(1);
let mut best = None;
for (i, _) in chars {
let (left, right) = word.split_at(i);
let left_freq = ctx.word_documents_count(left)?.unwrap_or(0);
let right_freq = ctx.word_documents_count(right)?.unwrap_or(0);
let min_freq = cmp::min(left_freq, right_freq);
if min_freq != 0 && best.map_or(true, |(old, _, _)| min_freq > old) {
best = Some((min_freq, left, right));
}
}
Ok(best.map(|(_, left, right)| Operation::Consecutive(
vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact(left.to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact(right.to_string()) })
]
)))
}
/// Return the `QueryKind` of a word depending on `authorize_typos`
/// and the provided word length.
fn typos(word: String, authorize_typos: bool) -> QueryKind {
if authorize_typos {
match word.len() {
0..=4 => QueryKind::exact(word),
5..=8 => QueryKind::tolerant(1, word),
_ => QueryKind::tolerant(2, word),
}
} else {
QueryKind::exact(word)
}
}
/// Fetch synonyms from the `Context` for the provided word
/// and create the list of operations for the query tree
fn synonyms(ctx: &impl Context, word: &[&str]) -> heed::Result<Option<Vec<Operation>>> {
let synonyms = ctx.synonyms(word)?;
Ok(synonyms.map(|synonyms| {
synonyms.into_iter().map(|synonym| {
let words = synonym.into_iter().map(|word| {
Operation::Query(Query { prefix: false, kind: QueryKind::exact(word) })
}).collect();
Operation::and(words)
}).collect()
}))
}
/// The query tree builder is the interface to build a query tree.
#[derive(Default)]
pub struct MatchingWords {
dfas: Vec<(DFA, u8)>,
}
impl MatchingWords {
/// List all words which can be considered as a match for the query tree.
pub fn from_query_tree(tree: &Operation) -> Self {
Self {
dfas: fetch_queries(tree).into_iter().map(|(w, t, p)| (build_dfa(w, t, p), t)).collect()
}
}
/// Return true if the word match.
pub fn matches(&self, word: &str) -> bool {
self.dfas.iter().any(|(dfa, typo)| match dfa.eval(word) {
Distance::Exact(t) => t <= *typo,
Distance::AtLeast(_) => false,
})
}
}
/// Lists all words which can be considered as a match for the query tree.
fn fetch_queries(tree: &Operation) -> HashSet<(&str, u8, IsPrefix)> {
fn resolve_ops<'a>(tree: &'a Operation, out: &mut HashSet<(&'a str, u8, IsPrefix)>) {
match tree {
Operation::Or(_, ops) | Operation::And(ops) | Operation::Consecutive(ops) => {
ops.as_slice().iter().for_each(|op| resolve_ops(op, out));
},
Operation::Query(Query { prefix, kind }) => {
let typo = if kind.is_exact() { 0 } else { kind.typo() };
out.insert((kind.word(), typo, *prefix));
},
}
}
let mut queries = HashSet::new();
resolve_ops(tree, &mut queries);
queries
}
/// Main function that creates the final query tree from the primitive query.
fn create_query_tree(
ctx: &impl Context,
optional_words: bool,
authorize_typos: bool,
query: PrimitiveQuery,
) -> anyhow::Result<Operation>
{
/// Matches on the `PrimitiveQueryPart` and create an operation from it.
fn resolve_primitive_part(
ctx: &impl Context,
authorize_typos: bool,
part: PrimitiveQueryPart,
) -> anyhow::Result<Operation>
{
match part {
// 1. try to split word in 2
// 2. try to fetch synonyms
// 3. create an operation containing the word
// 4. wrap all in an OR operation
PrimitiveQueryPart::Word(word, prefix) => {
let mut children = synonyms(ctx, &[&word])?.unwrap_or_default();
if let Some(child) = split_best_frequency(ctx, &word)? {
children.push(child);
}
children.push(Operation::Query(Query { prefix, kind: typos(word, authorize_typos) }));
Ok(Operation::or(false, children))
},
// create a CONSECUTIVE operation wrapping all word in the phrase
PrimitiveQueryPart::Phrase(words) => {
Ok(Operation::phrase(words))
},
}
}
/// Create all ngrams 1..=3 generating query tree branches.
fn ngrams(
ctx: &impl Context,
authorize_typos: bool,
query: &[PrimitiveQueryPart],
) -> anyhow::Result<Operation>
{
const MAX_NGRAM: usize = 3;
let mut op_children = Vec::new();
for sub_query in query.linear_group_by(|a, b| !(a.is_phrase() || b.is_phrase())) {
let mut or_op_children = Vec::new();
for ngram in 1..=MAX_NGRAM.min(sub_query.len()) {
if let Some(group) = sub_query.get(..ngram) {
let mut and_op_children = Vec::new();
let tail = &sub_query[ngram..];
let is_last = tail.is_empty();
match group {
[part] => {
let operation = resolve_primitive_part(ctx, authorize_typos, part.clone())?;
and_op_children.push(operation);
},
words => {
let is_prefix = words.last().map_or(false, |part| part.is_prefix());
let words: Vec<_> = words.iter().filter_map(|part| {
if let PrimitiveQueryPart::Word(word, _) = part {
Some(word.as_str())
} else {
None
}
}).collect();
let mut operations = synonyms(ctx, &words)?.unwrap_or_default();
let concat = words.concat();
let query = Query { prefix: is_prefix, kind: typos(concat, authorize_typos) };
operations.push(Operation::Query(query));
and_op_children.push(Operation::or(false, operations));
}
}
if !is_last {
let ngrams = ngrams(ctx, authorize_typos, tail)?;
and_op_children.push(ngrams);
}
or_op_children.push(Operation::and(and_op_children));
}
}
op_children.push(Operation::or(false, or_op_children));
}
Ok(Operation::and(op_children))
}
/// Create a new branch removing the last non-phrase query parts.
fn optional_word(
ctx: &impl Context,
authorize_typos: bool,
query: PrimitiveQuery,
) -> anyhow::Result<Operation>
{
let number_phrases = query.iter().filter(|p| p.is_phrase()).count();
let mut operation_children = Vec::new();
let start = number_phrases + (number_phrases == 0) as usize;
for len in start..=query.len() {
let mut word_count = len - number_phrases;
let query: Vec<_> = query.iter().filter_map(|p| {
if p.is_phrase() {
Some(p)
} else if word_count != 0 {
word_count -= 1;
Some(p)
} else {
None
}
})
.cloned()
.collect();
let ngrams = ngrams(ctx, authorize_typos, &query)?;
operation_children.push(ngrams);
}
Ok(Operation::or(true, operation_children))
}
if optional_words {
optional_word(ctx, authorize_typos, query)
} else {
ngrams(ctx, authorize_typos, query.as_slice())
}
}
type PrimitiveQuery = Vec<PrimitiveQueryPart>;
#[derive(Debug, Clone)]
enum PrimitiveQueryPart {
Phrase(Vec<String>),
Word(String, IsPrefix),
}
impl PrimitiveQueryPart {
fn is_phrase(&self) -> bool {
matches!(self, Self::Phrase(_))
}
fn is_prefix(&self) -> bool {
matches!(self, Self::Word(_, is_prefix) if *is_prefix)
}
}
/// Create primitive query from tokenized query string,
/// the primitive query is an intermediate state to build the query tree.
fn create_primitive_query(query: TokenStream, stop_words: Option<Set<&[u8]>>, words_limit: Option<usize>) -> PrimitiveQuery {
let mut primitive_query = Vec::new();
let mut phrase = Vec::new();
let mut quoted = false;
let parts_limit = words_limit.unwrap_or(usize::MAX);
let mut peekable = query.peekable();
while let Some(token) = peekable.next() {
// early return if word limit is exceeded
if primitive_query.len() >= parts_limit { return primitive_query }
match token.kind {
TokenKind::Word | TokenKind::StopWord => {
// 1. if the word is quoted we push it in a phrase-buffer waiting for the ending quote,
// 2. if the word is not the last token of the query and is not a stop_word we push it as a non-prefix word,
// 3. if the word is the last token of the query we push it as a prefix word.
if quoted {
phrase.push(token.word.to_string());
} else if peekable.peek().is_some() {
if !stop_words.as_ref().map_or(false, |swords| swords.contains(token.word.as_ref())) {
primitive_query.push(PrimitiveQueryPart::Word(token.word.to_string(), false));
}
} else {
primitive_query.push(PrimitiveQueryPart::Word(token.word.to_string(), true));
}
},
TokenKind::Separator(_) => {
let quote_count = token.word.chars().filter(|&s| s == '"').count();
// swap quoted state if we encounter a double quote
if quote_count % 2 != 0 {
quoted = !quoted;
}
if !phrase.is_empty() && quote_count > 0 {
primitive_query.push(PrimitiveQueryPart::Phrase(mem::take(&mut phrase)));
}
},
_ => (),
}
}
// If a quote is never closed, we consider all of the end of the query as a phrase.
if !phrase.is_empty() {
primitive_query.push(PrimitiveQueryPart::Phrase(mem::take(&mut phrase)));
}
primitive_query
}
/// Returns the maximum number of typos that this Operation allows.
pub fn maximum_typo(operation: &Operation) -> usize {
use Operation::{Or, And, Query, Consecutive};
match operation {
Or(_, ops) => ops.iter().map(maximum_typo).max().unwrap_or(0),
And(ops) | Consecutive(ops) => ops.iter().map(maximum_typo).sum::<usize>(),
Query(q) => q.kind.typo() as usize,
}
}
/// Returns the maximum proximity that this Operation allows.
pub fn maximum_proximity(operation: &Operation) -> usize {
use Operation::{Or, And, Query, Consecutive};
match operation {
Or(_, ops) => ops.iter().map(maximum_proximity).max().unwrap_or(0),
And(ops) => {
ops.iter().map(maximum_proximity).sum::<usize>()
+ ops.len().saturating_sub(1) * 7
},
Query(_) | Consecutive(_) => 0,
}
}
#[cfg(test)]
mod test {
use std::collections::HashMap;
use maplit::{hashmap, hashset};
use meilisearch_tokenizer::{Analyzer, AnalyzerConfig};
use rand::{Rng, SeedableRng, rngs::StdRng};
use super::*;
#[derive(Debug)]
struct TestContext {
synonyms: HashMap<Vec<String>, Vec<Vec<String>>>,
postings: HashMap<String, RoaringBitmap>,
}
impl TestContext {
fn build(
&self,
optional_words: bool,
authorize_typos: bool,
words_limit: Option<usize>,
query: TokenStream,
) -> anyhow::Result<Option<Operation>>
{
let primitive_query = create_primitive_query(query, None, words_limit);
if !primitive_query.is_empty() {
create_query_tree(self, optional_words, authorize_typos, primitive_query).map(Some)
} else {
Ok(None)
}
}
}
impl Context for TestContext {
fn word_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>> {
Ok(self.postings.get(word).cloned())
}
fn synonyms<S: AsRef<str>>(&self, words: &[S]) -> heed::Result<Option<Vec<Vec<String>>>> {
let words: Vec<_> = words.iter().map(|s| s.as_ref().to_owned()).collect();
Ok(self.synonyms.get(&words).cloned())
}
}
impl Default for TestContext {
fn default() -> TestContext {
let mut rng = StdRng::seed_from_u64(102);
let rng = &mut rng;
fn random_postings<R: Rng>(rng: &mut R, len: usize) -> RoaringBitmap {
let mut values = Vec::<u32>::with_capacity(len);
while values.len() != len {
values.push(rng.gen());
}
values.sort_unstable();
RoaringBitmap::from_sorted_iter(values.into_iter())
}
TestContext {
synonyms: hashmap!{
vec![String::from("hello")] => vec![
vec![String::from("hi")],
vec![String::from("good"), String::from("morning")],
],
vec![String::from("world")] => vec![
vec![String::from("earth")],
vec![String::from("nature")],
],
// new york city
vec![String::from("nyc")] => vec![
vec![String::from("new"), String::from("york")],
vec![String::from("new"), String::from("york"), String::from("city")],
],
vec![String::from("new"), String::from("york")] => vec![
vec![String::from("nyc")],
vec![String::from("new"), String::from("york"), String::from("city")],
],
vec![String::from("new"), String::from("york"), String::from("city")] => vec![
vec![String::from("nyc")],
vec![String::from("new"), String::from("york")],
],
},
postings: hashmap!{
String::from("hello") => random_postings(rng, 1500),
String::from("hi") => random_postings(rng, 4000),
String::from("word") => random_postings(rng, 2500),
String::from("split") => random_postings(rng, 400),
String::from("ngrams") => random_postings(rng, 1400),
String::from("world") => random_postings(rng, 15_000),
String::from("earth") => random_postings(rng, 8000),
String::from("2021") => random_postings(rng, 100),
String::from("2020") => random_postings(rng, 500),
String::from("is") => random_postings(rng, 50_000),
String::from("this") => random_postings(rng, 50_000),
String::from("good") => random_postings(rng, 1250),
String::from("morning") => random_postings(rng, 125),
},
}
}
}
#[test]
fn prefix() {
let query = "hey friends";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: true, kind: QueryKind::tolerant(1, "friends".to_string()) }),
]),
Operation::Query(Query { prefix: true, kind: QueryKind::tolerant(2, "heyfriends".to_string()) }),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn no_prefix() {
let query = "hey friends ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "friends".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(2, "heyfriends".to_string()) }),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn synonyms() {
let query = "hello world ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Or(false, vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hi".to_string()) }),
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("good".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("morning".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "hello".to_string()) }),
]),
Operation::Or(false, vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("earth".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("nature".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "world".to_string()) }),
]),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(2, "helloworld".to_string()) }),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn complex_synonyms() {
let query = "new york city ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("new".to_string()) }),
Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("york".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("city".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "yorkcity".to_string()) }),
]),
]),
Operation::And(vec![
Operation::Or(false, vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("nyc".to_string()) }),
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("new".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("york".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("city".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "newyork".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("city".to_string()) }),
]),
Operation::Or(false, vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("nyc".to_string()) }),
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("new".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("york".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(2, "newyorkcity".to_string()) }),
]),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn ngrams() {
let query = "n grams ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("n".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "grams".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "ngrams".to_string()) }),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn word_split() {
let query = "wordsplit fish ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Or(false, vec![
Operation::Consecutive(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("word".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("split".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(2, "wordsplit".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("fish".to_string()) })
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(2, "wordsplitfish".to_string()) }),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn phrase() {
let query = "\"hey friends\" \" \" \"wooop";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::And(vec![
Operation::Consecutive(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("friends".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("wooop".to_string()) }),
]);
let query_tree = TestContext::default().build(false, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn optional_word() {
let query = "hey my friend ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(true, vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("my".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "heymy".to_string()) }),
]),
Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("my".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "friend".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "myfriend".to_string()) })
])
]),
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "heymy".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "friend".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(2, "heymyfriend".to_string()) }),
]),
]);
let query_tree = TestContext::default().build(true, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn optional_word_phrase() {
let query = "\"hey my\"";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Consecutive(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("my".to_string()) }),
]);
let query_tree = TestContext::default().build(true, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn optional_word_multiple_phrases() {
let query = r#""hey" my good "friend""#;
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(true, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("friend".to_string()) }),
]),
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("my".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("friend".to_string()) }),
]),
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("my".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("good".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::tolerant(1, "mygood".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("friend".to_string()) }),
]),
]);
let query_tree = TestContext::default().build(true, true, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn no_typo() {
let query = "hey friends ";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::Or(false, vec![
Operation::And(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("friends".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("heyfriends".to_string()) }),
]);
let query_tree = TestContext::default().build(false, false, None, tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
#[test]
fn fetching_words() {
let query = "wordsplit nyc world";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let context = TestContext::default();
let query_tree = context.build(false, true, None, tokens).unwrap().unwrap();
let expected = hashset!{
("word", 0, false),
("nyc", 0, false),
("wordsplit", 2, false),
("wordsplitnycworld", 2, true),
("nature", 0, false),
("new", 0, false),
("city", 0, false),
("world", 1, true),
("york", 0, false),
("split", 0, false),
("nycworld", 1, true),
("earth", 0, false),
("wordsplitnyc", 2, false),
};
let mut keys = context.postings.keys().collect::<Vec<_>>();
keys.sort_unstable();
let words = fetch_queries(&query_tree);
assert_eq!(expected, words);
}
#[test]
fn words_limit() {
let query = "\"hey my\" good friend";
let analyzer = Analyzer::new(AnalyzerConfig::<Vec<u8>>::default());
let result = analyzer.analyze(query);
let tokens = result.tokens();
let expected = Operation::And(vec![
Operation::Consecutive(vec![
Operation::Query(Query { prefix: false, kind: QueryKind::exact("hey".to_string()) }),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("my".to_string()) }),
]),
Operation::Query(Query { prefix: false, kind: QueryKind::exact("good".to_string()) }),
]);
let query_tree = TestContext::default().build(false, false, Some(2), tokens).unwrap().unwrap();
assert_eq!(expected, query_tree);
}
}