MeiliSearch/src/search/facet/facet_distribution.rs

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Rust
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use std::collections::{HashSet, HashMap};
use std::{cmp, fmt};
use std::ops::Bound::Unbounded;
use roaring::RoaringBitmap;
use serde_json::Value;
use crate::facet::FacetType;
use crate::heed_codec::facet::{FacetValueStringCodec, FacetLevelValueF64Codec, FacetLevelValueI64Codec};
use crate::search::facet::FacetRange;
use crate::{Index, FieldId};
pub struct FacetDistribution<'a> {
facets: Option<HashSet<String>>,
candidates: Option<RoaringBitmap>,
max_values_by_facet: usize,
rtxn: &'a heed::RoTxn<'a>,
index: &'a Index,
}
impl<'a> FacetDistribution<'a> {
pub fn new(rtxn: &'a heed::RoTxn, index: &'a Index) -> FacetDistribution<'a> {
FacetDistribution { facets: None, candidates: None, max_values_by_facet: 100, rtxn, index }
}
pub fn facets<I: IntoIterator<Item=A>, A: AsRef<str>>(&mut self, names: I) -> &mut Self {
self.facets = Some(names.into_iter().map(|s| s.as_ref().to_string()).collect());
self
}
pub fn candidates(&mut self, candidates: RoaringBitmap) -> &mut Self {
self.candidates = Some(candidates);
self
}
pub fn max_values_by_facet(&mut self, max: usize) -> &mut Self {
self.max_values_by_facet = cmp::min(max, 1000);
self
}
fn facet_values(&self, field_id: FieldId, field_type: FacetType) -> heed::Result<Vec<Value>> {
let db = self.index.facet_field_id_value_docids;
let iter = match field_type {
FacetType::String => {
let iter = db
.prefix_iter(&self.rtxn, &[field_id])?
.remap_key_type::<FacetValueStringCodec>()
.map(|r| r.map(|((_, v), docids)| (Value::from(v), docids)));
Box::new(iter) as Box::<dyn Iterator<Item=_>>
},
FacetType::Integer => {
let db = db.remap_key_type::<FacetLevelValueI64Codec>();
let range = FacetRange::<i64, _>::new(
self.rtxn, db, field_id, 0, Unbounded, Unbounded,
)?;
Box::new(range.map(|r| r.map(|((_, _, v, _), docids)| (Value::from(v), docids))))
},
FacetType::Float => {
let db = db.remap_key_type::<FacetLevelValueF64Codec>();
let range = FacetRange::<f64, _>::new(
self.rtxn, db, field_id, 0, Unbounded, Unbounded,
)?;
Box::new(range.map(|r| r.map(|((_, _, v, _), docids)| (Value::from(v), docids))))
},
};
let mut facet_values = Vec::new();
for result in iter {
let (value, docids) = result?;
match &self.candidates {
Some(candidates) => if !docids.is_disjoint(candidates) {
facet_values.push(value);
},
None => facet_values.push(value),
}
if facet_values.len() == self.max_values_by_facet {
break;
}
}
Ok(facet_values)
}
pub fn execute(&self) -> heed::Result<HashMap<String, Vec<Value>>> {
let fields_ids_map = self.index.fields_ids_map(self.rtxn)?;
let faceted_fields = self.index.faceted_fields(self.rtxn)?;
let fields_ids: Vec<_> = match &self.facets {
Some(names) => {
names.iter().filter_map(|n| {
let id = fields_ids_map.id(n)?;
faceted_fields.get(&id).cloned().map(|t| (id, t))
}).collect()
},
None => faceted_fields.iter().map(|(id, t)| (*id, *t)).collect(),
};
let mut facets_values = HashMap::new();
for (fid, ftype) in fields_ids {
let facet_name = fields_ids_map.name(fid).unwrap();
let values = self.facet_values(fid, ftype)?;
facets_values.insert(facet_name.to_string(), values);
}
Ok(facets_values)
}
}
impl fmt::Debug for FacetDistribution<'_> {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
let FacetDistribution {
facets,
candidates,
max_values_by_facet,
rtxn: _,
index: _,
} = self;
f.debug_struct("FacetDistribution")
.field("facets", facets)
.field("candidates", candidates)
.field("max_values_by_facet", max_values_by_facet)
.finish()
}
}