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