MeiliSearch/milli/src/score_details.rs

502 lines
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Rust
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use std::cmp::Ordering;
use itertools::Itertools;
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use serde::Serialize;
use crate::distance_between_two_points;
#[derive(Debug, Clone, PartialEq)]
pub enum ScoreDetails {
Words(Words),
Typo(Typo),
Proximity(Rank),
Fid(Rank),
Position(Rank),
ExactAttribute(ExactAttribute),
ExactWords(ExactWords),
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Sort(Sort),
Vector(Vector),
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GeoSort(GeoSort),
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/// Returned when we don't have the time to finish applying all the subsequent ranking-rules
Skipped,
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}
#[derive(Clone, Copy)]
pub enum ScoreValue<'a> {
Score(f64),
Sort(&'a Sort),
GeoSort(&'a GeoSort),
}
enum RankOrValue<'a> {
Rank(Rank),
Sort(&'a Sort),
GeoSort(&'a GeoSort),
Score(f64),
}
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impl ScoreDetails {
pub fn local_score(&self) -> Option<f64> {
self.rank().map(Rank::local_score)
}
pub fn rank(&self) -> Option<Rank> {
match self {
ScoreDetails::Words(details) => Some(details.rank()),
ScoreDetails::Typo(details) => Some(details.rank()),
ScoreDetails::Proximity(details) => Some(*details),
ScoreDetails::Fid(details) => Some(*details),
ScoreDetails::Position(details) => Some(*details),
ScoreDetails::ExactAttribute(details) => Some(details.rank()),
ScoreDetails::ExactWords(details) => Some(details.rank()),
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ScoreDetails::Sort(_) => None,
ScoreDetails::GeoSort(_) => None,
ScoreDetails::Vector(_) => None,
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ScoreDetails::Skipped => Some(Rank { rank: 0, max_rank: 1 }),
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}
}
pub fn global_score<'a>(details: impl Iterator<Item = &'a Self> + 'a) -> f64 {
Self::score_values(details)
.find_map(|x| {
let ScoreValue::Score(score) = x else {
return None;
};
Some(score)
})
.unwrap_or(1.0f64)
}
pub fn score_values<'a>(
details: impl Iterator<Item = &'a Self> + 'a,
) -> impl Iterator<Item = ScoreValue<'a>> + 'a {
details
.map(ScoreDetails::rank_or_value)
.coalesce(|left, right| match (left, right) {
(RankOrValue::Rank(left), RankOrValue::Rank(right)) => {
Ok(RankOrValue::Rank(Rank::merge(left, right)))
}
(left, right) => Err((left, right)),
})
.map(|rank_or_value| match rank_or_value {
RankOrValue::Rank(r) => ScoreValue::Score(r.local_score()),
RankOrValue::Sort(s) => ScoreValue::Sort(s),
RankOrValue::GeoSort(g) => ScoreValue::GeoSort(g),
RankOrValue::Score(s) => ScoreValue::Score(s),
})
}
fn rank_or_value(&self) -> RankOrValue<'_> {
match self {
ScoreDetails::Words(w) => RankOrValue::Rank(w.rank()),
ScoreDetails::Typo(t) => RankOrValue::Rank(t.rank()),
ScoreDetails::Proximity(p) => RankOrValue::Rank(*p),
ScoreDetails::Fid(f) => RankOrValue::Rank(*f),
ScoreDetails::Position(p) => RankOrValue::Rank(*p),
ScoreDetails::ExactAttribute(e) => RankOrValue::Rank(e.rank()),
ScoreDetails::ExactWords(e) => RankOrValue::Rank(e.rank()),
ScoreDetails::Sort(sort) => RankOrValue::Sort(sort),
ScoreDetails::GeoSort(geosort) => RankOrValue::GeoSort(geosort),
ScoreDetails::Vector(vector) => {
RankOrValue::Score(vector.similarity.as_ref().map(|s| *s as f64).unwrap_or(0.0f64))
}
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ScoreDetails::Skipped => RankOrValue::Rank(Rank { rank: 0, max_rank: 1 }),
}
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}
/// Panics
///
/// - If Position is not preceded by Fid
/// - If Exactness is not preceded by ExactAttribute
pub fn to_json_map<'a>(
details: impl Iterator<Item = &'a Self>,
) -> serde_json::Map<String, serde_json::Value> {
let mut order = 0;
let mut fid_details = None;
let mut details_map = serde_json::Map::default();
for details in details {
match details {
ScoreDetails::Words(words) => {
let words_details = serde_json::json!({
"order": order,
"matchingWords": words.matching_words,
"maxMatchingWords": words.max_matching_words,
"score": words.rank().local_score(),
});
details_map.insert("words".into(), words_details);
order += 1;
}
ScoreDetails::Typo(typo) => {
let typo_details = serde_json::json!({
"order": order,
"typoCount": typo.typo_count,
"maxTypoCount": typo.max_typo_count,
"score": typo.rank().local_score(),
});
details_map.insert("typo".into(), typo_details);
order += 1;
}
ScoreDetails::Proximity(proximity) => {
let proximity_details = serde_json::json!({
"order": order,
"score": proximity.local_score(),
});
details_map.insert("proximity".into(), proximity_details);
order += 1;
}
ScoreDetails::Fid(fid) => {
// copy the rank for future use in Position.
fid_details = Some(*fid);
// For now, fid is a virtual rule always followed by the "position" rule
let fid_details = serde_json::json!({
"order": order,
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"attributeRankingOrderScore": fid.local_score(),
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});
details_map.insert("attribute".into(), fid_details);
order += 1;
}
ScoreDetails::Position(position) => {
// For now, position is a virtual rule always preceded by the "fid" rule
let attribute_details = details_map
.get_mut("attribute")
.expect("position not preceded by attribute");
let attribute_details = attribute_details
.as_object_mut()
.expect("attribute details was not an object");
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let Some(fid_details) = fid_details else {
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unimplemented!("position not preceded by attribute");
};
attribute_details
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.insert("queryWordDistanceScore".into(), position.local_score().into());
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let score = Rank::global_score([fid_details, *position].iter().copied());
attribute_details.insert("score".into(), score.into());
// do not update the order since this was already done by fid
}
ScoreDetails::ExactAttribute(exact_attribute) => {
let exactness_details = serde_json::json!({
"order": order,
"matchType": exact_attribute,
"score": exact_attribute.rank().local_score(),
});
details_map.insert("exactness".into(), exactness_details);
order += 1;
}
ScoreDetails::ExactWords(details) => {
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// For now, exactness is a virtual rule always preceded by the "ExactAttribute" rule
let exactness_details = details_map
.get_mut("exactness")
.expect("Exactness not preceded by exactAttribute");
let exactness_details = exactness_details
.as_object_mut()
.expect("exactness details was not an object");
if exactness_details.get("matchType").expect("missing 'matchType'")
== &serde_json::json!(ExactAttribute::NoExactMatch)
{
let score = Rank::global_score(
[ExactAttribute::NoExactMatch.rank(), details.rank()].iter().copied(),
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);
// tiny detail, but we want the score to be the last displayed field,
// so we're removing it here, adding the other fields, then adding the new score
exactness_details.remove("score");
exactness_details
.insert("matchingWords".into(), details.matching_words.into());
exactness_details
.insert("maxMatchingWords".into(), details.max_matching_words.into());
exactness_details.insert("score".into(), score.into());
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}
// do not update the order since this was already done by exactAttribute
}
ScoreDetails::Sort(details) => {
let sort = if details.redacted {
format!("<hidden-rule-{order}>")
} else {
format!(
"{}:{}",
details.field_name,
if details.ascending { "asc" } else { "desc" }
)
};
let value =
if details.redacted { "<hidden>".into() } else { details.value.clone() };
let sort_details = serde_json::json!({
"order": order,
"value": value,
});
details_map.insert(sort, sort_details);
order += 1;
}
ScoreDetails::GeoSort(details) => {
let sort = format!(
"_geoPoint({}, {}):{}",
details.target_point[0],
details.target_point[1],
if details.ascending { "asc" } else { "desc" }
);
let point = if let Some(value) = details.value {
serde_json::json!({ "lat": value[0], "lng": value[1]})
} else {
serde_json::Value::Null
};
let sort_details = serde_json::json!({
"order": order,
"value": point,
"distance": details.distance(),
});
details_map.insert(sort, sort_details);
order += 1;
}
ScoreDetails::Vector(s) => {
let similarity = s.similarity.as_ref();
let details = serde_json::json!({
"order": order,
"similarity": similarity,
});
details_map.insert("vectorSort".into(), details);
order += 1;
}
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ScoreDetails::Skipped => {
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details_map
.insert("skipped".to_string(), serde_json::json!({ "order": order }));
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order += 1;
}
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}
}
details_map
}
}
/// The strategy to compute scores.
///
/// It makes sense to pass down this strategy to the internals of the search, because
/// some optimizations (today, mainly skipping ranking rules for universes of a single document)
/// are not correct to do when computing the scores.
///
/// This strategy could feasibly be extended to differentiate between the normalized score and the
/// detailed scores, but it is not useful today as the normalized score is *derived from* the
/// detailed scores.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub enum ScoringStrategy {
/// Don't compute scores
#[default]
Skip,
/// Compute detailed scores
Detailed,
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
pub struct Words {
pub matching_words: u32,
pub max_matching_words: u32,
}
impl Words {
pub fn rank(&self) -> Rank {
Rank { rank: self.matching_words, max_rank: self.max_matching_words }
}
pub(crate) fn from_rank(rank: Rank) -> Self {
Self { matching_words: rank.rank, max_matching_words: rank.max_rank }
}
}
/// Structure that is super similar to [`Words`], but whose semantics is a bit distinct.
///
/// In exactness, the number of matching words can actually be 0 with a non-zero score,
/// if no words from the query appear exactly in the document.
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
pub struct ExactWords {
pub matching_words: u32,
pub max_matching_words: u32,
}
impl ExactWords {
pub fn rank(&self) -> Rank {
// 0 matching words means last rank (1)
Rank { rank: self.matching_words + 1, max_rank: self.max_matching_words + 1 }
}
pub(crate) fn from_rank(rank: Rank) -> Self {
// last rank (1) means that 0 words from the query appear exactly in the document.
// first rank (max_rank) means that (max_rank - 1) words from the query appear exactly in the document.
Self {
matching_words: rank.rank.saturating_sub(1),
max_matching_words: rank.max_rank.saturating_sub(1),
}
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}
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
pub struct Typo {
pub typo_count: u32,
pub max_typo_count: u32,
}
impl Typo {
pub fn rank(&self) -> Rank {
Rank {
rank: (self.max_typo_count + 1).saturating_sub(self.typo_count),
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max_rank: (self.max_typo_count + 1),
}
}
// max_rank = max_typo + 1
// max_typo = max_rank - 1
//
// rank = max_typo - typo + 1
// rank = max_rank - 1 - typo + 1
// rank + typo = max_rank
// typo = max_rank - rank
pub fn from_rank(rank: Rank) -> Typo {
Typo {
typo_count: rank.max_rank.saturating_sub(rank.rank),
max_typo_count: rank.max_rank.saturating_sub(1),
}
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}
}
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash)]
pub struct Rank {
/// The ordinal rank, such that `max_rank` is the first rank, and 0 is the last rank.
///
/// The higher the better. Documents with a rank of 0 have a score of 0 and are typically never returned
/// (they don't match the query).
pub rank: u32,
/// The maximum possible rank. Documents with this rank have a score of 1.
///
/// The max rank should not be 0.
pub max_rank: u32,
}
impl Rank {
pub fn local_score(self) -> f64 {
self.rank as f64 / self.max_rank as f64
}
pub fn global_score(details: impl Iterator<Item = Self>) -> f64 {
let mut rank = Rank { rank: 1, max_rank: 1 };
for inner_rank in details {
rank = Rank::merge(rank, inner_rank);
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}
rank.local_score()
}
pub fn merge(mut outer: Rank, inner: Rank) -> Rank {
outer.rank = outer.rank.saturating_sub(1);
outer.rank *= inner.max_rank;
outer.max_rank *= inner.max_rank;
outer.rank += inner.rank;
outer
}
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}
#[derive(Debug, Clone, Copy, PartialEq, Eq, PartialOrd, Ord, Hash, Serialize)]
#[serde(rename_all = "camelCase")]
pub enum ExactAttribute {
ExactMatch,
MatchesStart,
NoExactMatch,
}
impl ExactAttribute {
pub fn rank(&self) -> Rank {
let rank = match self {
ExactAttribute::ExactMatch => 3,
ExactAttribute::MatchesStart => 2,
ExactAttribute::NoExactMatch => 1,
};
Rank { rank, max_rank: 3 }
}
}
#[derive(Debug, Clone, PartialEq)]
pub struct Sort {
pub field_name: String,
pub ascending: bool,
pub redacted: bool,
pub value: serde_json::Value,
}
impl PartialOrd for Sort {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
if self.field_name != other.field_name {
return None;
}
if self.ascending != other.ascending {
return None;
}
match (&self.value, &other.value) {
(serde_json::Value::Null, serde_json::Value::Null) => Some(Ordering::Equal),
(serde_json::Value::Null, _) => Some(Ordering::Less),
(_, serde_json::Value::Null) => Some(Ordering::Greater),
// numbers are always before strings
(serde_json::Value::Number(_), serde_json::Value::String(_)) => Some(Ordering::Greater),
(serde_json::Value::String(_), serde_json::Value::Number(_)) => Some(Ordering::Less),
(serde_json::Value::Number(left), serde_json::Value::Number(right)) => {
// FIXME: unwrap permitted here?
let order = left.as_f64().unwrap().partial_cmp(&right.as_f64().unwrap())?;
// 12 < 42, and when ascending, we want to see 12 first, so the smallest.
// Hence, when ascending, smaller is better
Some(if self.ascending { order.reverse() } else { order })
}
(serde_json::Value::String(left), serde_json::Value::String(right)) => {
let order = left.cmp(right);
// Taking e.g. "a" and "z"
// "a" < "z", and when ascending, we want to see "a" first, so the smallest.
// Hence, when ascending, smaller is better
Some(if self.ascending { order.reverse() } else { order })
}
_ => None,
}
}
}
#[derive(Debug, Clone, Copy, PartialEq)]
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pub struct GeoSort {
pub target_point: [f64; 2],
pub ascending: bool,
pub value: Option<[f64; 2]>,
}
impl PartialOrd for GeoSort {
fn partial_cmp(&self, other: &Self) -> Option<Ordering> {
if self.target_point != other.target_point {
return None;
}
if self.ascending != other.ascending {
return None;
}
Some(match (self.distance(), other.distance()) {
(None, None) => Ordering::Equal,
(None, Some(_)) => Ordering::Less,
(Some(_), None) => Ordering::Greater,
(Some(left), Some(right)) => {
let order = left.partial_cmp(&right)?;
if self.ascending {
// when ascending, the one with the smallest distance has the best score
order.reverse()
} else {
order
}
}
})
}
}
#[derive(Debug, Clone, PartialEq, PartialOrd)]
pub struct Vector {
pub similarity: Option<f32>,
}
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impl GeoSort {
pub fn distance(&self) -> Option<f64> {
self.value.map(|value| distance_between_two_points(&self.target_point, &value))
}
}