MeiliSearch/milli/src/search/criteria/typo.rs

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use std::{borrow::Cow, collections::HashMap, mem::take};
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use anyhow::bail;
use roaring::RoaringBitmap;
use crate::search::query_tree::{Operation, Query, QueryKind};
use crate::search::word_typos;
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use super::{Candidates, Criterion, CriterionResult, Context, query_docids, query_pair_proximity_docids};
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// FIXME we must stop when the number of typos is equal to
// the maximum number of typos for this query tree.
const MAX_NUM_TYPOS: u8 = 8;
pub struct Typo<'t> {
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ctx: &'t dyn Context,
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query_tree: Option<Operation>,
number_typos: u8,
candidates: Candidates,
bucket_candidates: Option<RoaringBitmap>,
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parent: Option<Box<dyn Criterion>>,
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cache: HashMap<(Operation, u8), RoaringBitmap>,
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}
impl<'t> Typo<'t> {
pub fn initial(
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ctx: &'t dyn Context,
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query_tree: Option<Operation>,
candidates: Option<RoaringBitmap>,
) -> anyhow::Result<Self> where Self: Sized
{
Ok(Typo {
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ctx,
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query_tree,
number_typos: 0,
candidates: candidates.map_or_else(Candidates::default, Candidates::Allowed),
bucket_candidates: None,
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parent: None,
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cache: HashMap::new(),
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})
}
pub fn new(
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ctx: &'t dyn Context,
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parent: Box<dyn Criterion>,
) -> anyhow::Result<Self> where Self: Sized
{
Ok(Typo {
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ctx,
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query_tree: None,
number_typos: 0,
candidates: Candidates::default(),
bucket_candidates: None,
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parent: Some(parent),
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cache: HashMap::new(),
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})
}
}
impl<'t> Criterion for Typo<'t> {
fn next(&mut self) -> anyhow::Result<Option<CriterionResult>> {
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use Candidates::{Allowed, Forbidden};
while self.number_typos < MAX_NUM_TYPOS {
match (&mut self.query_tree, &mut self.candidates) {
(_, Allowed(candidates)) if candidates.is_empty() => {
self.query_tree = None;
self.candidates = Candidates::default();
},
(Some(query_tree), Allowed(candidates)) => {
let fst = self.ctx.words_fst();
let new_query_tree = if self.number_typos < 2 {
alterate_query_tree(&fst, query_tree.clone(), self.number_typos)?
} else if self.number_typos == 2 {
*query_tree = alterate_query_tree(&fst, query_tree.clone(), self.number_typos)?;
query_tree.clone()
} else {
query_tree.clone()
};
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let mut new_candidates = resolve_candidates(self.ctx, &new_query_tree, self.number_typos, &mut self.cache)?;
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new_candidates.intersect_with(&candidates);
candidates.difference_with(&new_candidates);
self.number_typos += 1;
let bucket_candidates = match self.parent {
Some(_) => self.bucket_candidates.take(),
None => Some(new_candidates.clone()),
};
return Ok(Some(CriterionResult {
query_tree: Some(new_query_tree),
candidates: new_candidates,
bucket_candidates,
}));
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},
(Some(query_tree), Forbidden(candidates)) => {
let fst = self.ctx.words_fst();
let new_query_tree = if self.number_typos < 2 {
alterate_query_tree(&fst, query_tree.clone(), self.number_typos)?
} else if self.number_typos == 2 {
*query_tree = alterate_query_tree(&fst, query_tree.clone(), self.number_typos)?;
query_tree.clone()
} else {
query_tree.clone()
};
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let mut new_candidates = resolve_candidates(self.ctx, &new_query_tree, self.number_typos, &mut self.cache)?;
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new_candidates.difference_with(&candidates);
candidates.union_with(&new_candidates);
self.number_typos += 1;
let bucket_candidates = match self.parent {
Some(_) => self.bucket_candidates.take(),
None => Some(new_candidates.clone()),
};
return Ok(Some(CriterionResult {
query_tree: Some(new_query_tree),
candidates: new_candidates,
bucket_candidates,
}));
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},
(None, Allowed(_)) => {
let candidates = take(&mut self.candidates).into_inner();
return Ok(Some(CriterionResult {
query_tree: None,
candidates: candidates.clone(),
bucket_candidates: Some(candidates),
}));
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},
(None, Forbidden(_)) => {
match self.parent.as_mut() {
Some(parent) => {
match parent.next()? {
Some(CriterionResult { query_tree, candidates, bucket_candidates }) => {
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self.query_tree = query_tree;
self.candidates = Candidates::Allowed(candidates);
self.bucket_candidates = bucket_candidates;
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},
None => return Ok(None),
}
},
None => return Ok(None),
}
},
}
}
Ok(None)
}
}
/// Modify the query tree by replacing every tolerant query by an Or operation
/// containing all of the corresponding exact words in the words FST. Each tolerant
/// query will only be replaced by exact query with up to `number_typos` maximum typos.
fn alterate_query_tree(
words_fst: &fst::Set<Cow<[u8]>>,
mut query_tree: Operation,
number_typos: u8,
) -> anyhow::Result<Operation>
{
fn recurse(
words_fst: &fst::Set<Cow<[u8]>>,
operation: &mut Operation,
number_typos: u8,
) -> anyhow::Result<()>
{
use Operation::{And, Consecutive, Or};
match operation {
And(ops) | Consecutive(ops) | Or(_, ops) => {
ops.iter_mut().try_for_each(|op| recurse(words_fst, op, number_typos))
},
Operation::Query(q) => {
if let QueryKind::Tolerant { typo, word } = &q.kind {
// if no typo is allowed we don't call word_typos(..),
// and directly create an Exact query
if number_typos == 0 {
*operation = Operation::Query(Query {
prefix: q.prefix,
kind: QueryKind::Exact { original_typo: 0, word: word.clone() },
});
} else {
let typo = *typo.min(&number_typos);
let words = word_typos(word, q.prefix, typo, words_fst)?;
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let queries = words.into_iter().map(|(word, _typo)| {
Operation::Query(Query {
prefix: false,
kind: QueryKind::Exact { original_typo: typo, word },
})
}).collect();
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*operation = Operation::or(false, queries);
}
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}
Ok(())
},
}
}
recurse(words_fst, &mut query_tree, number_typos)?;
Ok(query_tree)
}
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fn resolve_candidates<'t>(
ctx: &'t dyn Context,
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query_tree: &Operation,
number_typos: u8,
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cache: &mut HashMap<(Operation, u8), RoaringBitmap>,
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) -> anyhow::Result<RoaringBitmap>
{
// FIXME add a cache
// FIXME keep the cache between typos iterations
// cache: HashMap<(&Operation, u8), RoaringBitmap>,
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fn resolve_operation<'t>(
ctx: &'t dyn Context,
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query_tree: &Operation,
number_typos: u8,
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cache: &mut HashMap<(Operation, u8), RoaringBitmap>,
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) -> anyhow::Result<RoaringBitmap>
{
use Operation::{And, Consecutive, Or, Query};
match query_tree {
And(ops) => {
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mdfs(ctx, ops, number_typos, cache)
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},
Consecutive(ops) => {
let mut candidates = RoaringBitmap::new();
let mut first_loop = true;
for slice in ops.windows(2) {
match (&slice[0], &slice[1]) {
(Operation::Query(left), Operation::Query(right)) => {
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match query_pair_proximity_docids(ctx, left, right, 1)? {
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pair_docids if pair_docids.is_empty() => {
return Ok(RoaringBitmap::new())
},
pair_docids if first_loop => {
candidates = pair_docids;
first_loop = false;
},
pair_docids => {
candidates.intersect_with(&pair_docids);
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},
}
},
_ => bail!("invalid consecutive query type"),
}
}
Ok(candidates)
},
Or(_, ops) => {
let mut candidates = RoaringBitmap::new();
for op in ops {
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let docids = resolve_operation(ctx, op, number_typos, cache)?;
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candidates.union_with(&docids);
}
Ok(candidates)
},
Query(q) => if q.kind.typo() == number_typos {
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Ok(query_docids(ctx, q)?)
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} else {
Ok(RoaringBitmap::new())
},
}
}
/// FIXME Make this function generic and mutualize it between Typo and proximity criterion
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fn mdfs<'t>(
ctx: &'t dyn Context,
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branches: &[Operation],
mana: u8,
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cache: &mut HashMap<(Operation, u8), RoaringBitmap>,
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) -> anyhow::Result<RoaringBitmap>
{
match branches.split_first() {
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Some((head, [])) => {
if let Some(candidates) = cache.get(&(head.clone(), mana)) {
Ok(candidates.clone())
} else {
let candidates = resolve_operation(ctx, head, mana, cache)?;
cache.insert((head.clone(), mana), candidates.clone());
Ok(candidates)
}
},
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Some((head, tail)) => {
let mut candidates = RoaringBitmap::new();
for m in 0..=mana {
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let mut head_candidates = {
if let Some(candidates) = cache.get(&(head.clone(), m)) {
candidates.clone()
} else {
let candidates = resolve_operation(ctx, head, m, cache)?;
cache.insert((head.clone(), m), candidates.clone());
candidates
}
};
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if !head_candidates.is_empty() {
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let tail_candidates = mdfs(ctx, tail, mana - m, cache)?;
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head_candidates.intersect_with(&tail_candidates);
candidates.union_with(&head_candidates);
}
}
Ok(candidates)
},
None => Ok(RoaringBitmap::new()),
}
}
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resolve_operation(ctx, query_tree, number_typos, cache)
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}