MeiliSearch/milli/tests/search/mod.rs
Many afb09c914d
Update milli/tests/search/query_criteria.rs
Co-authored-by: Clément Renault <clement@meilisearch.com>
2021-06-08 16:53:56 +02:00

130 lines
5.0 KiB
Rust

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