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https://github.com/meilisearch/MeiliSearch
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Add unit test for prefix handling by the proximity criterion
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@ -592,4 +592,101 @@ fn resolve_plane_sweep_candidates(
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}
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#[cfg(test)]
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mod tests {}
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mod tests {
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use std::io::Cursor;
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use big_s::S;
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use crate::documents::{DocumentsBatchBuilder, DocumentsBatchReader};
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use crate::index::tests::TempIndex;
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use crate::SearchResult;
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fn documents_with_enough_different_words_for_prefixes(prefixes: &[&str]) -> Vec<crate::Object> {
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let mut documents = Vec::new();
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for prefix in prefixes {
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for i in 0..500 {
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documents.push(
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serde_json::json!({
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"text": format!("{prefix}{i:x}"),
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})
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.as_object()
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.unwrap()
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.clone(),
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)
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}
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}
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documents
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}
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#[test]
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fn test_proximity_criterion_prefix_handling() {
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let mut index = TempIndex::new();
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index.index_documents_config.autogenerate_docids = true;
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index
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.update_settings(|settings| {
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settings.set_primary_key(S("id"));
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settings.set_criteria(vec![
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"words".to_owned(),
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"typo".to_owned(),
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"proximity".to_owned(),
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]);
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})
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.unwrap();
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let mut documents = DocumentsBatchBuilder::new(Vec::new());
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for doc in [
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// 0
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serde_json::json!({ "text": "zero is exactly the amount of configuration I want" }),
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// 1
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serde_json::json!({ "text": "zero bad configuration" }),
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// 2
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serde_json::json!({ "text": "zero configuration" }),
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// 3
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serde_json::json!({ "text": "zero config" }),
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// 4
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serde_json::json!({ "text": "zero conf" }),
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// 5
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serde_json::json!({ "text": "zero bad conf" }),
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] {
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documents.append_json_object(doc.as_object().unwrap()).unwrap();
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}
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for doc in documents_with_enough_different_words_for_prefixes(&["conf"]) {
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documents.append_json_object(&doc).unwrap();
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}
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let documents =
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DocumentsBatchReader::from_reader(Cursor::new(documents.into_inner().unwrap()))
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.unwrap();
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index.add_documents(documents).unwrap();
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let rtxn = index.read_txn().unwrap();
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let SearchResult { matching_words: _, candidates: _, documents_ids } =
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index.search(&rtxn).query("zero c").execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 3, 4, 1, 5, 0]");
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let SearchResult { matching_words: _, candidates: _, documents_ids } =
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index.search(&rtxn).query("zero co").execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 3, 4, 1, 5, 0]");
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let SearchResult { matching_words: _, candidates: _, documents_ids } =
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index.search(&rtxn).query("zero con").execute().unwrap();
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// Here searh results are degraded because `con` is in the prefix cache but it is too
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// long to be stored in the prefix proximity databases, and we don't want to iterate over
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// all of its word derivations
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0, 1, 2, 3, 4, 5]");
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let SearchResult { matching_words: _, candidates: _, documents_ids } =
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index.search(&rtxn).query("zero conf").execute().unwrap();
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// Here search results are degraded as well, but we can still rank correctly documents
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// that contain `conf` exactly, and not as a prefix.
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[4, 5, 0, 1, 2, 3]");
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let SearchResult { matching_words: _, candidates: _, documents_ids } =
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index.search(&rtxn).query("zero config").execute().unwrap();
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// `config` is not a common prefix, so the normal methods are used
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 3, 1, 0, 4, 5]");
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}
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}
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