searchengines-web/MeiliSearch
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implements the analytics

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This commit is contained in:
Tamo 2024-06-04 17:27:31 +02:00
parent cc5dca8321
commit caad40964a
1 changed files with 16 additions and 2 deletions
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18
meilisearch/src/analytics/segment_analytics.rs
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@ -622,6 +622,7 @@ pub struct SearchAggregator {
// Whether a non-default embedder was specified
embedder: bool,
hybrid: bool,
retrieve_vectors: bool,
// every time a search is done, we increment the counter linked to the used settings
matching_strategy: HashMap<String, usize>,
@ -662,7 +663,7 @@ impl SearchAggregator {
page,
hits_per_page,
attributes_to_retrieve: _,
retrieve_vectors: _,
retrieve_vectors,
attributes_to_crop: _,
crop_length,
attributes_to_highlight: _,
@ -729,6 +730,7 @@ impl SearchAggregator {
if let Some(ref vector) = vector {
ret.max_vector_size = vector.len();
}
ret.retrieve_vectors |= retrieve_vectors;
if query.is_finite_pagination() {
let limit = hits_per_page.unwrap_or_else(DEFAULT_SEARCH_LIMIT);
@ -804,6 +806,7 @@ impl SearchAggregator {
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
retrieve_vectors,
matching_strategy,
max_limit,
max_offset,
@ -874,6 +877,7 @@ impl SearchAggregator {
// vector
self.max_vector_size = self.max_vector_size.max(max_vector_size);
self.retrieve_vectors |= retrieve_vectors;
self.semantic_ratio |= semantic_ratio;
self.hybrid |= hybrid;
self.embedder |= embedder;
@ -930,6 +934,7 @@ impl SearchAggregator {
attributes_to_search_on_total_number_of_uses,
max_terms_number,
max_vector_size,
retrieve_vectors,
matching_strategy,
max_limit,
max_offset,
@ -992,6 +997,7 @@ impl SearchAggregator {
},
"vector": {
"max_vector_size": max_vector_size,
"retrieve_vectors": retrieve_vectors,
},
"hybrid": {
"enabled": hybrid,
@ -1625,6 +1631,7 @@ pub struct SimilarAggregator {
// Whether a non-default embedder was specified
embedder: bool,
retrieve_vectors: bool,
// pagination
max_limit: usize,
@ -1648,7 +1655,7 @@ impl SimilarAggregator {
offset,
limit,
attributes_to_retrieve: _,
retrieve_vectors: _,
retrieve_vectors,
show_ranking_score,
show_ranking_score_details,
filter,
@ -1693,6 +1700,7 @@ impl SimilarAggregator {
ret.ranking_score_threshold = ranking_score_threshold.is_some();
ret.embedder = embedder.is_some();
ret.retrieve_vectors = *retrieve_vectors;
ret
}
@ -1725,6 +1733,7 @@ impl SimilarAggregator {
show_ranking_score_details,
embedder,
ranking_score_threshold,
retrieve_vectors,
} = other;
if self.timestamp.is_none() {
@ -1754,6 +1763,7 @@ impl SimilarAggregator {
}
self.embedder |= embedder;
self.retrieve_vectors |= retrieve_vectors;
// pagination
self.max_limit = self.max_limit.max(max_limit);
@ -1788,6 +1798,7 @@ impl SimilarAggregator {
show_ranking_score_details,
embedder,
ranking_score_threshold,
retrieve_vectors,
} = self;
if total_received == 0 {
@ -1814,6 +1825,9 @@ impl SimilarAggregator {
"avg_criteria_number": format!("{:.2}", filter_sum_of_criteria_terms as f64 / filter_total_number_of_criteria as f64),
"most_used_syntax": used_syntax.iter().max_by_key(|(_, v)| *v).map(|(k, _)| json!(k)).unwrap_or_else(|| json!(null)),
},
"vector": {
"retrieve_vectors": retrieve_vectors,
},
"hybrid": {
"embedder": embedder,
},