1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164
use super::{SuggestContextQuery, SuggestFuzziness, Suggester};
use crate::{util::ShouldSkip, Map};
/// The `completion` suggester provides auto-complete/search-as-you-type functionality. This is a
/// navigational feature to guide users to relevant results as they are typing, improving search
/// precision. It is not meant for spell correction or did-you-mean functionality like the `term`
/// or `phrase` suggesters.
///
/// Ideally, auto-complete functionality should be as fast as a user types to provide instant
/// feedback relevant to what a user has already typed in. Hence, `completion` suggester is
/// optimized for speed. The suggester uses data structures that enable fast lookups, but are
/// costly to build and are stored in-memory.
#[derive(Debug, Clone, PartialEq, Serialize)]
pub struct CompletionSuggester {
prefix: String,
completion: CompletionSuggesterCompletion,
}
#[derive(Debug, Clone, PartialEq, Serialize)]
struct CompletionSuggesterCompletion {
field: String,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
analyzer: Option<String>,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
fuzzy: Option<SuggestFuzziness>,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
size: Option<u64>,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
skip_duplicates: Option<bool>,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
contexts: Map<String, Vec<SuggestContextQuery>>,
}
impl Suggester {
/// Creates an instance of [CompletionSuggester]
pub fn completion<T, U>(field: T, prefix: U) -> CompletionSuggester
where
T: ToString,
U: ToString,
{
CompletionSuggester {
prefix: prefix.to_string(),
completion: CompletionSuggesterCompletion {
field: field.to_string(),
analyzer: None,
fuzzy: None,
size: None,
skip_duplicates: None,
contexts: Default::default(),
},
}
}
}
impl CompletionSuggester {
/// Overrides search time analyzer
pub fn analyzer<T>(mut self, analyzer: T) -> Self
where
T: ToString,
{
self.completion.analyzer = Some(analyzer.to_string());
self
}
/// Allows searching with typos and still getting results back
pub fn fuzzy(mut self, fuzzy: SuggestFuzziness) -> Self {
self.completion.fuzzy = Some(fuzzy);
self
}
/// The number of suggestions to return (defaults to `5`)
pub fn size(mut self, size: u64) -> Self {
self.completion.size = Some(size);
self
}
/// Whether duplicate suggestions should be filtered out (defaults to false).
pub fn skip_duplicates(mut self, skip_duplicates: bool) -> Self {
self.completion.skip_duplicates = Some(skip_duplicates);
self
}
/// Adds suggest context to filter or boost by an indexed context
pub fn context<T, U>(mut self, context: T, suggest_context_queries: U) -> Self
where
T: ToString,
U: IntoIterator<Item = SuggestContextQuery>,
{
let _ = self.completion.contexts.insert(
context.to_string(),
suggest_context_queries.into_iter().collect(),
);
self
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::{util::assert_serialize, Fuzziness};
#[test]
fn serializes() {
assert_serialize(
Suggester::completion("autocomplete_field", "search text"),
json!({
"prefix": "search text",
"completion": {
"field": "autocomplete_field"
}
}),
);
assert_serialize(
Suggester::completion("autocomplete_field", "search text")
.analyzer("search_analyzer")
.size(10)
.skip_duplicates(true)
.fuzzy(
SuggestFuzziness::new()
.fuzziness(Fuzziness::Auto)
.min_length(2)
.prefix_length(3)
.transpositions(true)
.unicode_aware(false),
)
.context(
"place_type",
[
SuggestContextQuery::new("cafe"),
SuggestContextQuery::new("restaurants").boost(2),
],
),
json!({
"prefix": "search text",
"completion": {
"field": "autocomplete_field",
"size": 10,
"skip_duplicates": true,
"analyzer": "search_analyzer",
"fuzzy": {
"fuzziness": "AUTO",
"min_length": 2,
"prefix_length": 3,
"transpositions": true,
"unicode_aware": false
},
"contexts": {
"place_type": [
{ "context": "cafe" },
{ "context": "restaurants", "boost": 2.0 }
]
}
}
}),
);
}
}