mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-12-26 22:50:07 +01:00
Expose the scores and detailed scores in the API
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701d44bd91
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da833eb095
@ -240,6 +240,8 @@ InvalidSearchOffset , InvalidRequest , BAD_REQUEST ;
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InvalidSearchPage , InvalidRequest , BAD_REQUEST ;
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InvalidSearchQ , InvalidRequest , BAD_REQUEST ;
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InvalidSearchShowMatchesPosition , InvalidRequest , BAD_REQUEST ;
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InvalidSearchShowRankingScore , InvalidRequest , BAD_REQUEST ;
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InvalidSearchShowRankingScoreDetails , InvalidRequest , BAD_REQUEST ;
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InvalidSearchSort , InvalidRequest , BAD_REQUEST ;
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InvalidSettingsDisplayedAttributes , InvalidRequest , BAD_REQUEST ;
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InvalidSettingsDistinctAttribute , InvalidRequest , BAD_REQUEST ;
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@ -56,6 +56,10 @@ pub struct SearchQueryGet {
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sort: Option<String>,
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#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowMatchesPosition>)]
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show_matches_position: Param<bool>,
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#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowRankingScore>)]
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show_ranking_score: Param<bool>,
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#[deserr(default, error = DeserrQueryParamError<InvalidSearchShowRankingScoreDetails>)]
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show_ranking_score_details: Param<bool>,
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#[deserr(default, error = DeserrQueryParamError<InvalidSearchFacets>)]
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facets: Option<CS<String>>,
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#[deserr( default = DEFAULT_HIGHLIGHT_PRE_TAG(), error = DeserrQueryParamError<InvalidSearchHighlightPreTag>)]
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@ -91,6 +95,8 @@ impl From<SearchQueryGet> for SearchQuery {
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filter,
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sort: other.sort.map(|attr| fix_sort_query_parameters(&attr)),
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show_matches_position: other.show_matches_position.0,
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show_ranking_score: other.show_ranking_score.0,
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show_ranking_score_details: other.show_ranking_score_details.0,
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facets: other.facets.map(|o| o.into_iter().collect()),
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highlight_pre_tag: other.highlight_pre_tag,
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highlight_post_tag: other.highlight_post_tag,
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@ -9,6 +9,7 @@ use meilisearch_auth::IndexSearchRules;
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use meilisearch_types::deserr::DeserrJsonError;
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use meilisearch_types::error::deserr_codes::*;
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use meilisearch_types::index_uid::IndexUid;
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use meilisearch_types::milli::score_details::{ScoreDetails, ScoringStrategy};
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use meilisearch_types::settings::DEFAULT_PAGINATION_MAX_TOTAL_HITS;
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use meilisearch_types::{milli, Document};
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use milli::tokenizer::TokenizerBuilder;
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@ -54,6 +55,10 @@ pub struct SearchQuery {
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pub attributes_to_highlight: Option<HashSet<String>>,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowMatchesPosition>, default)]
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pub show_matches_position: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScore>, default)]
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pub show_ranking_score: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScoreDetails>, default)]
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pub show_ranking_score_details: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchFilter>)]
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pub filter: Option<Value>,
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#[deserr(default, error = DeserrJsonError<InvalidSearchSort>)]
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@ -103,6 +108,10 @@ pub struct SearchQueryWithIndex {
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pub crop_length: usize,
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#[deserr(default, error = DeserrJsonError<InvalidSearchAttributesToHighlight>)]
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pub attributes_to_highlight: Option<HashSet<String>>,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScore>, default)]
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pub show_ranking_score: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowRankingScoreDetails>, default)]
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pub show_ranking_score_details: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchShowMatchesPosition>, default)]
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pub show_matches_position: bool,
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#[deserr(default, error = DeserrJsonError<InvalidSearchFilter>)]
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@ -134,6 +143,8 @@ impl SearchQueryWithIndex {
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attributes_to_crop,
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crop_length,
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attributes_to_highlight,
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show_ranking_score,
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show_ranking_score_details,
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show_matches_position,
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filter,
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sort,
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@ -155,6 +166,8 @@ impl SearchQueryWithIndex {
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attributes_to_crop,
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crop_length,
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attributes_to_highlight,
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show_ranking_score,
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show_ranking_score_details,
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show_matches_position,
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filter,
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sort,
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@ -194,7 +207,7 @@ impl From<MatchingStrategy> for TermsMatchingStrategy {
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}
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}
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#[derive(Debug, Clone, Serialize, PartialEq, Eq)]
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#[derive(Debug, Clone, Serialize, PartialEq)]
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pub struct SearchHit {
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#[serde(flatten)]
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pub document: Document,
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@ -202,6 +215,10 @@ pub struct SearchHit {
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pub formatted: Document,
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#[serde(rename = "_matchesPosition", skip_serializing_if = "Option::is_none")]
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pub matches_position: Option<MatchesPosition>,
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#[serde(rename = "_rankingScore", skip_serializing_if = "Option::is_none")]
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pub ranking_score: Option<f64>,
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#[serde(rename = "_rankingScoreDetails", skip_serializing_if = "Option::is_none")]
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pub ranking_score_details: Option<serde_json::Map<String, serde_json::Value>>,
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}
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#[derive(Serialize, Debug, Clone, PartialEq)]
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@ -283,6 +300,11 @@ pub fn perform_search(
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.unwrap_or(DEFAULT_PAGINATION_MAX_TOTAL_HITS);
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search.exhaustive_number_hits(is_finite_pagination);
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search.scoring_strategy(if query.show_ranking_score || query.show_ranking_score_details {
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ScoringStrategy::Detailed
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} else {
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ScoringStrategy::Skip
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});
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// compute the offset on the limit depending on the pagination mode.
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let (offset, limit) = if is_finite_pagination {
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@ -320,7 +342,8 @@ pub fn perform_search(
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search.sort_criteria(sort);
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}
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let milli::SearchResult { documents_ids, matching_words, candidates, .. } = search.execute()?;
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let milli::SearchResult { documents_ids, matching_words, candidates, document_scores, .. } =
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search.execute()?;
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let fields_ids_map = index.fields_ids_map(&rtxn).unwrap();
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@ -392,7 +415,7 @@ pub fn perform_search(
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let documents_iter = index.documents(&rtxn, documents_ids)?;
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for (_id, obkv) in documents_iter {
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for ((_id, obkv), score) in documents_iter.into_iter().zip(document_scores.into_iter()) {
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// First generate a document with all the displayed fields
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let displayed_document = make_document(&displayed_ids, &fields_ids_map, obkv)?;
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@ -416,7 +439,18 @@ pub fn perform_search(
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insert_geo_distance(sort, &mut document);
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}
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let hit = SearchHit { document, formatted, matches_position };
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let ranking_score =
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query.show_ranking_score.then(|| ScoreDetails::global_score(score.iter()));
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let ranking_score_details =
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query.show_ranking_score_details.then(|| ScoreDetails::to_json_map(score.iter()));
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let hit = SearchHit {
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document,
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formatted,
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matches_position,
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ranking_score_details,
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ranking_score,
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};
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documents.push(hit);
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}
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@ -53,6 +53,7 @@ fn main() -> Result<(), Box<dyn Error>> {
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&mut ctx,
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&(!query.trim().is_empty()).then(|| query.trim().to_owned()),
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TermsMatchingStrategy::Last,
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milli::score_details::ScoringStrategy::Skip,
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false,
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&None,
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&None,
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@ -2488,8 +2488,12 @@ pub(crate) mod tests {
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let rtxn = index.read_txn().unwrap();
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let search = Search::new(&rtxn, &index);
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let SearchResult { matching_words: _, candidates: _, mut documents_ids } =
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search.execute().unwrap();
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let SearchResult {
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matching_words: _,
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candidates: _,
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document_scores: _,
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mut documents_ids,
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} = search.execute().unwrap();
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let primary_key_id = index.fields_ids_map(&rtxn).unwrap().id("primary_key").unwrap();
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documents_ids.sort_unstable();
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let docs = index.documents(&rtxn, documents_ids).unwrap();
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@ -7,6 +7,7 @@ use roaring::bitmap::RoaringBitmap;
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pub use self::facet::{FacetDistribution, Filter, DEFAULT_VALUES_PER_FACET};
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pub use self::new::matches::{FormatOptions, MatchBounds, Matcher, MatcherBuilder, MatchingWords};
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use self::new::PartialSearchResult;
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use crate::score_details::{ScoreDetails, ScoringStrategy};
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use crate::{
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execute_search, AscDesc, DefaultSearchLogger, DocumentId, Index, Result, SearchContext,
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};
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@ -29,6 +30,7 @@ pub struct Search<'a> {
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sort_criteria: Option<Vec<AscDesc>>,
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geo_strategy: new::GeoSortStrategy,
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terms_matching_strategy: TermsMatchingStrategy,
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scoring_strategy: ScoringStrategy,
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words_limit: usize,
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exhaustive_number_hits: bool,
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rtxn: &'a heed::RoTxn<'a>,
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@ -45,6 +47,7 @@ impl<'a> Search<'a> {
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sort_criteria: None,
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geo_strategy: new::GeoSortStrategy::default(),
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terms_matching_strategy: TermsMatchingStrategy::default(),
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scoring_strategy: Default::default(),
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exhaustive_number_hits: false,
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words_limit: 10,
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rtxn,
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@ -77,6 +80,11 @@ impl<'a> Search<'a> {
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self
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}
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pub fn scoring_strategy(&mut self, value: ScoringStrategy) -> &mut Search<'a> {
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self.scoring_strategy = value;
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self
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}
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pub fn words_limit(&mut self, value: usize) -> &mut Search<'a> {
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self.words_limit = value;
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self
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@ -93,7 +101,7 @@ impl<'a> Search<'a> {
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self
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}
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/// Force the search to exhastivelly compute the number of candidates,
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/// Forces the search to exhaustively compute the number of candidates,
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/// this will increase the search time but allows finite pagination.
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pub fn exhaustive_number_hits(&mut self, exhaustive_number_hits: bool) -> &mut Search<'a> {
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self.exhaustive_number_hits = exhaustive_number_hits;
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@ -102,11 +110,12 @@ impl<'a> Search<'a> {
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pub fn execute(&self) -> Result<SearchResult> {
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let mut ctx = SearchContext::new(self.index, self.rtxn);
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let PartialSearchResult { located_query_terms, candidates, documents_ids } =
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let PartialSearchResult { located_query_terms, candidates, documents_ids, document_scores } =
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execute_search(
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&mut ctx,
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&self.query,
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self.terms_matching_strategy,
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self.scoring_strategy,
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self.exhaustive_number_hits,
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&self.filter,
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&self.sort_criteria,
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@ -124,7 +133,7 @@ impl<'a> Search<'a> {
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None => MatchingWords::default(),
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};
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Ok(SearchResult { matching_words, candidates, documents_ids })
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Ok(SearchResult { matching_words, candidates, document_scores, documents_ids })
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}
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}
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@ -138,6 +147,7 @@ impl fmt::Debug for Search<'_> {
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sort_criteria,
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geo_strategy: _,
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terms_matching_strategy,
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scoring_strategy,
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words_limit,
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exhaustive_number_hits,
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rtxn: _,
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@ -150,6 +160,7 @@ impl fmt::Debug for Search<'_> {
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.field("limit", limit)
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.field("sort_criteria", sort_criteria)
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.field("terms_matching_strategy", terms_matching_strategy)
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.field("scoring_strategy", scoring_strategy)
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.field("exhaustive_number_hits", exhaustive_number_hits)
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.field("words_limit", words_limit)
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.finish()
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@ -160,8 +171,8 @@ impl fmt::Debug for Search<'_> {
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pub struct SearchResult {
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pub matching_words: MatchingWords,
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pub candidates: RoaringBitmap,
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// TODO those documents ids should be associated with their criteria scores.
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pub documents_ids: Vec<DocumentId>,
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pub document_scores: Vec<Vec<ScoreDetails>>,
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}
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#[derive(Debug, Clone, Copy, PartialEq, Eq)]
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@ -510,6 +510,7 @@ mod tests {
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&mut ctx,
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&Some(query.to_string()),
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crate::TermsMatchingStrategy::default(),
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crate::score_details::ScoringStrategy::Skip,
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false,
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&None,
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&None,
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@ -351,6 +351,7 @@ pub fn execute_search(
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ctx: &mut SearchContext,
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query: &Option<String>,
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terms_matching_strategy: TermsMatchingStrategy,
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scoring_strategy: ScoringStrategy,
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exhaustive_number_hits: bool,
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filters: &Option<Filter>,
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sort_criteria: &Option<Vec<AscDesc>>,
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@ -419,7 +420,7 @@ pub fn execute_search(
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&universe,
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from,
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length,
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ScoringStrategy::Skip,
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scoring_strategy,
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query_graph_logger,
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)?
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} else {
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@ -432,7 +433,7 @@ pub fn execute_search(
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&universe,
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from,
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length,
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ScoringStrategy::Skip,
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scoring_strategy,
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placeholder_search_logger,
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)?
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};
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@ -453,6 +454,7 @@ pub fn execute_search(
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Ok(PartialSearchResult {
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candidates: all_candidates,
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document_scores: scores,
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documents_ids: docids,
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located_query_terms,
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})
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@ -504,4 +506,5 @@ pub struct PartialSearchResult {
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pub located_query_terms: Option<Vec<LocatedQueryTerm>>,
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pub candidates: RoaringBitmap,
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pub documents_ids: Vec<DocumentId>,
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pub document_scores: Vec<Vec<ScoreDetails>>,
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}
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