2023-02-21 16:49:43 +08:00
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use heed::RoTxn;
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use roaring::RoaringBitmap;
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2023-02-21 20:57:34 +08:00
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use super::db_cache::DatabaseCache;
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2023-02-22 22:34:37 +08:00
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use super::logger::SearchLogger;
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2023-02-21 16:49:43 +08:00
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use super::{
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2023-02-21 20:57:34 +08:00
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RankingRule, RankingRuleOutput, RankingRuleOutputIter, RankingRuleOutputIterWrapper,
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RankingRuleQueryTrait,
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};
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use crate::{
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// facet::FacetType,
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heed_codec::{facet::FacetGroupKeyCodec, ByteSliceRefCodec},
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search::facet::{ascending_facet_sort, descending_facet_sort},
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FieldId,
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Index,
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Result,
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};
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pub struct Sort<'transaction, Query> {
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field_name: String,
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field_id: Option<FieldId>,
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is_ascending: bool,
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original_query: Option<Query>,
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iter: Option<RankingRuleOutputIterWrapper<'transaction, Query>>,
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}
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impl<'transaction, Query> Sort<'transaction, Query> {
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pub fn new(
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index: &Index,
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rtxn: &'transaction heed::RoTxn,
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field_name: String,
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is_ascending: bool,
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) -> Result<Self> {
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let fields_ids_map = index.fields_ids_map(rtxn)?;
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let field_id = fields_ids_map.id(&field_name);
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Ok(Self { field_name, field_id, is_ascending, original_query: None, iter: None })
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}
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}
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impl<'transaction, Query: RankingRuleQueryTrait> RankingRule<'transaction, Query>
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for Sort<'transaction, Query>
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{
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fn id(&self) -> String {
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let Self { field_name, is_ascending, .. } = self;
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format!("{field_name}:{}", if *is_ascending { "asc" } else { "desc " })
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}
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2023-02-21 16:49:43 +08:00
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fn start_iteration(
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&mut self,
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index: &Index,
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txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
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parent_candidates: &RoaringBitmap,
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parent_query_graph: &Query,
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) -> Result<()> {
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let iter: RankingRuleOutputIterWrapper<Query> = match self.field_id {
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Some(field_id) => {
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let make_iter =
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if self.is_ascending { ascending_facet_sort } else { descending_facet_sort };
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let number_iter = make_iter(
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txn,
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index
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.facet_id_f64_docids
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.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
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field_id,
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parent_candidates.clone(),
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)?;
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let string_iter = make_iter(
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txn,
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index
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.facet_id_string_docids
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.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>(),
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field_id,
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parent_candidates.clone(),
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)?;
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let query_graph = parent_query_graph.clone();
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RankingRuleOutputIterWrapper::new(Box::new(number_iter.chain(string_iter).map(
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move |docids| {
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Ok(RankingRuleOutput { query: query_graph.clone(), candidates: docids? })
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},
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)))
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}
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None => RankingRuleOutputIterWrapper::new(Box::new(std::iter::empty())),
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};
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self.original_query = Some(parent_query_graph.clone());
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self.iter = Some(iter);
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Ok(())
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}
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fn next_bucket(
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&mut self,
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_index: &Index,
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_txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
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universe: &RoaringBitmap,
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) -> Result<Option<RankingRuleOutput<Query>>> {
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let iter = self.iter.as_mut().unwrap();
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// TODO: we should make use of the universe in the function below
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if let Some(mut bucket) = iter.next_bucket()? {
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bucket.candidates &= universe;
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Ok(Some(bucket))
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} else {
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let query = self.original_query.as_ref().unwrap().clone();
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Ok(Some(RankingRuleOutput { query, candidates: universe.clone() }))
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}
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}
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fn end_iteration(
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&mut self,
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_index: &Index,
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_txn: &'transaction RoTxn,
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_db_cache: &mut DatabaseCache<'transaction>,
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_logger: &mut dyn SearchLogger<Query>,
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) {
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self.original_query = None;
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self.iter = None;
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}
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}
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