mirror of
https://github.com/meilisearch/meilisearch.git
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132 lines
5.1 KiB
Rust
132 lines
5.1 KiB
Rust
use milli::{Criterion, Index, DocumentId};
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use milli::update::{IndexDocuments, UpdateFormat, Settings};
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use big_s::S;
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use heed::EnvOpenOptions;
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use maplit::{hashmap, hashset};
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use serde::Deserialize;
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use slice_group_by::GroupBy;
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mod query_criteria;
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pub const TEST_QUERY: &'static str = "hello world america";
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pub const EXTERNAL_DOCUMENTS_IDS: &[&str; 17] = &["A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q"];
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pub const CONTENT: &str = include_str!("../assets/test_set.ndjson");
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pub fn setup_search_index_with_criteria(criteria: &[Criterion]) -> Index {
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let path = tempfile::tempdir().unwrap();
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let mut options = EnvOpenOptions::new();
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options.map_size(10 * 1024 * 1024); // 10 MB
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let index = Index::new(options, &path).unwrap();
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let mut wtxn = index.write_txn().unwrap();
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let mut builder = Settings::new(&mut wtxn, &index, 0);
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let criteria = criteria.iter().map(|c| c.to_string()).collect();
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builder.set_criteria(criteria);
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builder.set_filterable_fields(hashset!{
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S("tag"),
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S("unexisting_field"),
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S("asc_desc_rank"),
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S("unexisting_field"),
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});
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builder.set_synonyms(hashmap!{
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S("hello") => vec![S("good morning")],
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S("world") => vec![S("earth")],
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S("america") => vec![S("the united states")],
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});
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builder.set_searchable_fields(vec![S("title"),S("description")]);
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builder.execute(|_, _| ()).unwrap();
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// index documents
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let mut builder = IndexDocuments::new(&mut wtxn, &index, 0);
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builder.update_format(UpdateFormat::JsonStream);
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builder.enable_autogenerate_docids();
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builder.execute(CONTENT.as_bytes(), |_, _| ()).unwrap();
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wtxn.commit().unwrap();
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index
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}
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pub fn internal_to_external_ids(index: &Index, internal_ids: &[DocumentId]) -> Vec<String> {
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let mut rtxn = index.read_txn().unwrap();
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let docid_map = index.external_documents_ids(&mut rtxn).unwrap();
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let docid_map: std::collections::HashMap<_, _> = EXTERNAL_DOCUMENTS_IDS.iter().map(|id| (docid_map.get(id).unwrap(), id)).collect();
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internal_ids.iter().map(|id| docid_map.get(id).unwrap().to_string()).collect()
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}
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fn fetch_dataset() -> Vec<TestDocument> {
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serde_json::Deserializer::from_str(CONTENT).into_iter().map(|r| r.unwrap()).collect()
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}
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pub fn expected_order(criteria: &[Criterion], authorize_typo: bool, optional_words: bool) -> Vec<TestDocument> {
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let dataset = fetch_dataset();
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let mut groups: Vec<Vec<TestDocument>> = vec![dataset];
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for criterion in criteria {
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let mut new_groups = Vec::new();
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for group in groups.iter_mut() {
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match criterion {
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Criterion::Attribute => {
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group.sort_by_key(|d| d.attribute_rank);
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new_groups.extend(group.linear_group_by_key(|d| d.attribute_rank).map(Vec::from));
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},
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Criterion::Exactness => {
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group.sort_by_key(|d| d.exact_rank);
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new_groups.extend(group.linear_group_by_key(|d| d.exact_rank).map(Vec::from));
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},
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Criterion::Proximity => {
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group.sort_by_key(|d| d.proximity_rank);
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new_groups.extend(group.linear_group_by_key(|d| d.proximity_rank).map(Vec::from));
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},
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Criterion::Typo => {
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group.sort_by_key(|d| d.typo_rank);
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new_groups.extend(group.linear_group_by_key(|d| d.typo_rank).map(Vec::from));
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},
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Criterion::Words => {
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group.sort_by_key(|d| d.word_rank);
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new_groups.extend(group.linear_group_by_key(|d| d.word_rank).map(Vec::from));
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},
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Criterion::Asc(field_name) if field_name == "asc_desc_rank" => {
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group.sort_by_key(|d| d.asc_desc_rank);
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new_groups.extend(group.linear_group_by_key(|d| d.asc_desc_rank).map(Vec::from));
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},
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Criterion::Desc(field_name) if field_name == "asc_desc_rank" => {
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group.sort_by_key(|d| std::cmp::Reverse(d.asc_desc_rank));
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new_groups.extend(group.linear_group_by_key(|d| d.asc_desc_rank).map(Vec::from));
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},
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Criterion::Asc(_) | Criterion::Desc(_) => new_groups.push(group.clone()),
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}
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}
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groups = std::mem::take(&mut new_groups);
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}
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if authorize_typo && optional_words {
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groups.into_iter().flatten().collect()
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} else if optional_words {
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groups.into_iter().flatten().filter(|d| d.typo_rank == 0).collect()
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} else if authorize_typo {
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groups.into_iter().flatten().filter(|d| d.word_rank == 0).collect()
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} else {
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groups.into_iter().flatten().filter(|d| d.word_rank == 0 && d.typo_rank == 0).collect()
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}
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}
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#[derive(Debug, Clone, Deserialize)]
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pub struct TestDocument {
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pub id: String,
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pub word_rank: u32,
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pub typo_rank: u32,
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pub proximity_rank: u32,
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pub attribute_rank: u32,
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pub exact_rank: u32,
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pub asc_desc_rank: u32,
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pub title: String,
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pub description: String,
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pub tag: String,
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}
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