perf(search): score by reference, clone only top-N results
Refactor search_with_frecency to score static provider items by reference (&LaunchItem, i64) instead of cloning every match. Use select_nth_unstable_by for O(n) partial sort, then clone only the max_results survivors. Reduces clones from O(total_matches) to O(max_results) — typically from hundreds to ~15.
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@@ -737,22 +737,17 @@ impl ProviderManager {
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// Empty query (after checking special providers) - return frecency-sorted items
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if query.is_empty() {
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// Collect items from core providers
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let core_items = self
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let mut scored_refs: Vec<(&LaunchItem, i64)> = self
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.providers
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.iter()
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.filter(|p| filter.is_active(p.provider_type()))
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.flat_map(|p| p.items().iter().cloned());
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// Collect items from static native providers
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let native_items = self
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.static_native_providers
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.iter()
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.filter(|p| filter.is_active(p.provider_type()))
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.flat_map(|p| p.items().iter().cloned());
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let items: Vec<(LaunchItem, i64)> = core_items
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.chain(native_items)
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.flat_map(|p| p.items().iter())
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.chain(
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self.static_native_providers
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.iter()
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.filter(|p| filter.is_active(p.provider_type()))
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.flat_map(|p| p.items().iter()),
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)
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.filter(|item| {
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// Apply tag filter if present
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if let Some(tag) = tag_filter {
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@@ -768,8 +763,15 @@ impl ProviderManager {
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})
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.collect();
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// Combine widgets (already in results) with frecency items
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results.extend(items);
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// Partial sort: O(n) average to find top max_results, then O(k log k) to order them
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if scored_refs.len() > max_results {
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scored_refs.select_nth_unstable_by(max_results, |a, b| b.1.cmp(&a.1));
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scored_refs.truncate(max_results);
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}
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scored_refs.sort_by(|a, b| b.1.cmp(&a.1));
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// Clone only the survivors
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results.extend(scored_refs.into_iter().map(|(item, score)| (item.clone(), score)));
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results.sort_by(|a, b| b.1.cmp(&a.1));
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results.truncate(max_results);
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return results;
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@@ -777,7 +779,7 @@ impl ProviderManager {
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// Regular search with frecency boost and tag matching
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// Helper closure for scoring items
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let score_item = |item: &LaunchItem| -> Option<(LaunchItem, i64)> {
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let score_item = |item: &LaunchItem| -> Option<i64> {
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// Apply tag filter if present
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if let Some(tag) = tag_filter
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&& !item.tags.iter().any(|t| t.to_lowercase().contains(tag))
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@@ -824,33 +826,46 @@ impl ProviderManager {
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0
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};
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(item.clone(), s + frecency_boost + exact_match_boost)
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s + frecency_boost + exact_match_boost
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})
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};
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// Search core providers
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// Score static items by reference (no cloning)
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let mut scored_refs: Vec<(&LaunchItem, i64)> = Vec::new();
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for provider in &self.providers {
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if !filter.is_active(provider.provider_type()) {
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continue;
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}
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for item in provider.items() {
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if let Some(scored) = score_item(item) {
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results.push(scored);
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if let Some(score) = score_item(item) {
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scored_refs.push((item, score));
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}
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}
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}
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// Search static native providers
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for provider in &self.static_native_providers {
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if !filter.is_active(provider.provider_type()) {
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continue;
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}
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for item in provider.items() {
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if let Some(scored) = score_item(item) {
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results.push(scored);
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if let Some(score) = score_item(item) {
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scored_refs.push((item, score));
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}
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}
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}
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// Partial sort: O(n) average to find top max_results, then O(k log k) to order them
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if scored_refs.len() > max_results {
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scored_refs.select_nth_unstable_by(max_results, |a, b| b.1.cmp(&a.1));
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scored_refs.truncate(max_results);
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}
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scored_refs.sort_by(|a, b| b.1.cmp(&a.1));
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// Clone only the survivors
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results.extend(scored_refs.into_iter().map(|(item, score)| (item.clone(), score)));
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// Final sort merges dynamic results (already in `results`) with static top-N
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results.sort_by(|a, b| b.1.cmp(&a.1));
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results.truncate(max_results);
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