debug(suggestions): add detailed timing logs for debugging

Frontend logging:
- Log when effect triggers with artist count
- Log when backend call starts/finishes with timing
- Log result details (tracks, artists counts)

Backend logging (playlist_suggestions.rs):
- Log MBID resolution with cache hits/misses/failures
- Log config values
- Log engine call timing

Engine logging (suggestions.rs):
- Step 1: ensure_vector timing per artist
- Step 2: playlist vector computation
- Step 3: find_nearest timing
- Step 4: track search timing per artist
- Early exit when pool size reached
This commit is contained in:
vicrodh committed 2026-01-27 12:02:31 -06:00
1 parent e9a5dfcb80
commit 1560cd4e3d
3 files changed
+101 -11

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@@ -123,7 +123,10 @@ impl SuggestionsEngine {
exclude_track_ids: &HashSet<u64>,
include_reasons: bool,
) -> Result<SuggestionResult, String> {
use std::time::Instant;
if playlist_artist_mbids.is_empty() {
log::debug!("[SuggestionsEngine] Empty playlist, returning empty");
return Ok(SuggestionResult {
tracks: Vec::new(),
source_artists: Vec::new(),
@@ -133,17 +136,26 @@ impl SuggestionsEngine {
}
// 1. Ensure vectors exist for playlist artists
for mbid in playlist_artist_mbids {
log::info!("[SuggestionsEngine] Step 1: Ensuring vectors for {} artists", playlist_artist_mbids.len());
let step1_start = Instant::now();
for (i, mbid) in playlist_artist_mbids.iter().enumerate() {
let artist_start = Instant::now();
let _ = self
.builder
.ensure_vector(mbid, None, None, self.config.vector_max_age_days)
.await;
log::debug!("[SuggestionsEngine] ensure_vector {}/{} took {:?}", i + 1, playlist_artist_mbids.len(), artist_start.elapsed());
}
log::info!("[SuggestionsEngine] Step 1 completed in {:?}", step1_start.elapsed());
// 2. Compute combined playlist vector
log::info!("[SuggestionsEngine] Step 2: Computing playlist vector");
let step2_start = Instant::now();
let playlist_vector = self.compute_playlist_vector(playlist_artist_mbids).await?;
log::info!("[SuggestionsEngine] Step 2 completed in {:?}, vector empty={}", step2_start.elapsed(), playlist_vector.is_empty());
if playlist_vector.is_empty() {
log::warn!("[SuggestionsEngine] Playlist vector is empty, returning empty result");
return Ok(SuggestionResult {
tracks: Vec::new(),
source_artists: Vec::new(),
@@ -153,18 +165,23 @@ impl SuggestionsEngine {
}
// 3. Find nearest artists (excluding playlist artists)
log::info!("[SuggestionsEngine] Step 3: Finding nearest artists");
let step3_start = Instant::now();
let exclude_vec: Vec<String> = playlist_artist_mbids.to_vec();
let similar_artists = {
let store = self.store.lock().await;
store.find_nearest(&playlist_vector, self.config.max_artists, &exclude_vec)?
};
log::info!("[SuggestionsEngine] Step 3 completed in {:?}, found {} similar artists", step3_start.elapsed(), similar_artists.len());
let similar_artists_count = similar_artists.len();
let mut source_artists = Vec::new();
let mut all_tracks = Vec::new();
// 4. Search for tracks by similar artists
for artist in &similar_artists {
log::info!("[SuggestionsEngine] Step 4: Searching tracks for similar artists");
let step4_start = Instant::now();
for (i, artist) in similar_artists.iter().enumerate() {
if artist.similarity < self.config.min_similarity {
continue;
}
@@ -172,9 +189,12 @@ impl SuggestionsEngine {
source_artists.push(artist.name.clone().unwrap_or_else(|| artist.mbid.clone()));
// Search Qobuz for tracks by this artist
let search_start = Instant::now();
let tracks = self
.search_artist_tracks(&artist.mbid, artist.name.as_deref(), artist.similarity)
.await;
log::debug!("[SuggestionsEngine] search_artist_tracks {}/{} took {:?}, got {} tracks",
i + 1, similar_artists.len(), search_start.elapsed(), tracks.len());
for mut track in tracks {
// Skip if already in playlist
@@ -197,9 +217,11 @@ impl SuggestionsEngine {
// Stop if we have enough tracks
if all_tracks.len() >= self.config.max_pool_size {
log::info!("[SuggestionsEngine] Reached pool size {} after {} artists", all_tracks.len(), i + 1);
break;
}
}
log::info!("[SuggestionsEngine] Step 4 completed in {:?}, got {} tracks", step4_start.elapsed(), all_tracks.len());
// 5. Sort by similarity score and limit pool size
all_tracks.sort_by(|a, b| {