MeiliSearch/milli/src/score_details.rs
2023-06-22 12:39:14 +02:00

315 lines
11 KiB
Rust

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),
Exactness(Rank),
Sort(Sort),
GeoSort(GeoSort),
}
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::Exactness(details) => Some(*details),
ScoreDetails::Sort(_) => None,
ScoreDetails::GeoSort(_) => None,
}
}
pub fn global_score<'a>(details: impl Iterator<Item = &'a Self>) -> f64 {
Rank::global_score(details.filter_map(Self::rank))
}
/// 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,
"attribute_ranking_order_score": fid.local_score(),
});
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");
let Some(fid_details) = fid_details
else {
unimplemented!("position not preceded by attribute");
};
attribute_details
.insert("query_word_distance_score".into(), position.local_score().into());
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::Exactness(details) => {
// 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].iter().copied(),
);
*exactness_details.get_mut("score").expect("missing score") = score.into();
}
// 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;
}
}
}
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) -> Words {
Words { matching_words: rank.rank, max_matching_words: rank.max_rank }
}
}
#[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 - self.typo_count + 1,
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 - rank.rank, max_typo_count: rank.max_rank - 1 }
}
}
#[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 -= 1;
rank.rank *= inner_rank.max_rank;
rank.max_rank *= inner_rank.max_rank;
rank.rank += inner_rank.rank;
}
rank.local_score()
}
}
#[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,
}
#[derive(Debug, Clone, Copy, PartialEq, PartialOrd)]
pub struct GeoSort {
pub target_point: [f64; 2],
pub ascending: bool,
pub value: Option<[f64; 2]>,
}
impl GeoSort {
pub fn distance(&self) -> Option<f64> {
self.value.map(|value| distance_between_two_points(&self.target_point, &value))
}
}