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https://github.com/meilisearch/meilisearch.git
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Introduce ComputedFacets and compute_facet_distribution_stats
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@ -989,39 +989,13 @@ pub fn perform_search(
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HitsInfo::OffsetLimit { limit, offset, estimated_total_hits: number_of_hits }
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};
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let (facet_distribution, facet_stats) = match facets {
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Some(ref fields) => {
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let mut facet_distribution = index.facets_distribution(&rtxn);
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let max_values_by_facet = index
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.max_values_per_facet(&rtxn)
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.map_err(milli::Error::from)?
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.map(|x| x as usize)
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.unwrap_or(DEFAULT_VALUES_PER_FACET);
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facet_distribution.max_values_per_facet(max_values_by_facet);
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let sort_facet_values_by =
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index.sort_facet_values_by(&rtxn).map_err(milli::Error::from)?;
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if fields.iter().all(|f| f != "*") {
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let fields: Vec<_> =
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fields.iter().map(|n| (n, sort_facet_values_by.get(n))).collect();
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facet_distribution.facets(fields);
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}
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let distribution = facet_distribution
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.candidates(candidates)
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.default_order_by(sort_facet_values_by.get("*"))
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.execute()?;
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let stats = facet_distribution.compute_stats()?;
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(Some(distribution), Some(stats))
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}
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None => (None, None),
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};
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let facet_stats = facet_stats.map(|stats| {
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stats.into_iter().map(|(k, (min, max))| (k, FacetStats { min, max })).collect()
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});
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let (facet_distribution, facet_stats) = facets
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.map(move |facets| {
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compute_facet_distribution_stats(&facets, index, &rtxn, candidates, None, None)
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})
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.transpose()?
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.map(|ComputedFacets { distribution, stats }| (distribution, stats))
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.unzip();
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let result = SearchResult {
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hits: documents,
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@ -1037,6 +1011,55 @@ pub fn perform_search(
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Ok(result)
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}
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#[derive(Debug, Clone, Default, Serialize)]
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pub struct ComputedFacets {
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pub distribution: BTreeMap<String, IndexMap<String, u64>>,
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pub stats: BTreeMap<String, FacetStats>,
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}
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fn compute_facet_distribution_stats<S: AsRef<str>>(
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facets: &[S],
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index: &Index,
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rtxn: &RoTxn,
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candidates: roaring::RoaringBitmap,
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override_max_values_per_facet: Option<usize>,
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override_sort_facet_values_by: Option<OrderBy>,
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) -> Result<ComputedFacets, ResponseError> {
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let mut facet_distribution = index.facets_distribution(rtxn);
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let max_values_by_facet = match override_max_values_per_facet {
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Some(max_values_by_facet) => max_values_by_facet,
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None => index
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.max_values_per_facet(rtxn)
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.map_err(milli::Error::from)?
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.map(|x| x as usize)
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.unwrap_or(DEFAULT_VALUES_PER_FACET),
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};
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facet_distribution.max_values_per_facet(max_values_by_facet);
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let sort_facet_values_by = index.sort_facet_values_by(rtxn).map_err(milli::Error::from)?;
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let sort_facet_values_by = |n: &str| match override_sort_facet_values_by {
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Some(order_by) => order_by,
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None => sort_facet_values_by.get(n),
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};
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// add specific facet if there is no placeholder
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if facets.iter().all(|f| f.as_ref() != "*") {
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let fields: Vec<_> = facets.iter().map(|n| (n, sort_facet_values_by(n.as_ref()))).collect();
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facet_distribution.facets(fields);
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}
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let distribution = facet_distribution
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.candidates(candidates)
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.default_order_by(sort_facet_values_by("*"))
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.execute()?;
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let stats = facet_distribution.compute_stats()?;
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let stats = stats.into_iter().map(|(k, (min, max))| (k, FacetStats { min, max })).collect();
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Ok(ComputedFacets { distribution, stats })
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}
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pub fn search_from_kind(
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search_kind: SearchKind,
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search: milli::Search<'_>,
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