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Merge pull request #37 from Unforgettable-93/unforgettable-timeline-tags-filter
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fix(timeline): push node_type and tags filters into SQL WHERE
This commit is contained in:
commit
2391acf480
3 changed files with 177 additions and 52 deletions
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@ -2077,61 +2077,77 @@ impl Storage {
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Ok(result)
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}
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/// Query memories created/modified in a time range
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/// Query memories created/modified in a time range, optionally filtered by
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/// `node_type` and/or `tags`.
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///
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/// All filters are pushed into the SQL `WHERE` clause so that `LIMIT` is
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/// applied AFTER filtering. If filters were applied in Rust after `LIMIT`,
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/// sparse types/tags could be crowded out by a dominant set within the
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/// limit window — e.g. a query for a rare tag against a corpus where
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/// every day has hundreds of rows with a common tag would return 0
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/// matches after `LIMIT` crowded the rare-tag rows out.
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///
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/// Tag filtering uses `tags LIKE '%"tag"%'` — an exact-match JSON pattern
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/// that keys off the quote characters around each tag in the stored JSON
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/// array. This avoids the substring-match false positive where `alpha`
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/// would otherwise match `alphabet`.
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pub fn query_time_range(
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&self,
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start: Option<DateTime<Utc>>,
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end: Option<DateTime<Utc>>,
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limit: i32,
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node_type: Option<&str>,
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tags: Option<&[String]>,
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) -> Result<Vec<KnowledgeNode>> {
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let start_str = start.map(|dt| dt.to_rfc3339());
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let end_str = end.map(|dt| dt.to_rfc3339());
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let (query, params): (&str, Vec<Box<dyn rusqlite::ToSql>>) = match (&start_str, &end_str) {
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(Some(s), Some(e)) => (
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"SELECT * FROM knowledge_nodes
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WHERE created_at >= ?1 AND created_at <= ?2
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ORDER BY created_at DESC
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LIMIT ?3",
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vec![
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Box::new(s.clone()) as Box<dyn rusqlite::ToSql>,
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Box::new(e.clone()) as Box<dyn rusqlite::ToSql>,
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Box::new(limit) as Box<dyn rusqlite::ToSql>,
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],
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),
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(Some(s), None) => (
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"SELECT * FROM knowledge_nodes
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WHERE created_at >= ?1
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ORDER BY created_at DESC
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LIMIT ?2",
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vec![
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Box::new(s.clone()) as Box<dyn rusqlite::ToSql>,
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Box::new(limit) as Box<dyn rusqlite::ToSql>,
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],
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),
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(None, Some(e)) => (
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"SELECT * FROM knowledge_nodes
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WHERE created_at <= ?1
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ORDER BY created_at DESC
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LIMIT ?2",
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vec![
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Box::new(e.clone()) as Box<dyn rusqlite::ToSql>,
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Box::new(limit) as Box<dyn rusqlite::ToSql>,
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],
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),
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(None, None) => (
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"SELECT * FROM knowledge_nodes
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ORDER BY created_at DESC
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LIMIT ?1",
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vec![Box::new(limit) as Box<dyn rusqlite::ToSql>],
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),
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let mut conditions: Vec<String> = Vec::new();
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let mut params: Vec<Box<dyn rusqlite::ToSql>> = Vec::new();
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let mut idx = 1;
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if let Some(ref s) = start_str {
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conditions.push(format!("created_at >= ?{}", idx));
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params.push(Box::new(s.clone()) as Box<dyn rusqlite::ToSql>);
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idx += 1;
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}
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if let Some(ref e) = end_str {
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conditions.push(format!("created_at <= ?{}", idx));
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params.push(Box::new(e.clone()) as Box<dyn rusqlite::ToSql>);
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idx += 1;
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}
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if let Some(nt) = node_type {
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conditions.push(format!("LOWER(node_type) = LOWER(?{})", idx));
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params.push(Box::new(nt.to_string()) as Box<dyn rusqlite::ToSql>);
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idx += 1;
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}
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if let Some(tag_list) = tags.filter(|t| !t.is_empty()) {
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let mut tag_conditions = Vec::new();
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for tag in tag_list {
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tag_conditions.push(format!("tags LIKE ?{}", idx));
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params.push(Box::new(format!("%\"{}\"%", tag)) as Box<dyn rusqlite::ToSql>);
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idx += 1;
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}
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conditions.push(format!("({})", tag_conditions.join(" OR ")));
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}
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let where_clause = if conditions.is_empty() {
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String::new()
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} else {
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format!("WHERE {}", conditions.join(" AND "))
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};
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let query = format!(
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"SELECT * FROM knowledge_nodes {} ORDER BY created_at DESC LIMIT ?{}",
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where_clause, idx
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);
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params.push(Box::new(limit) as Box<dyn rusqlite::ToSql>);
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let reader = self
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.reader
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.lock()
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.map_err(|_| StorageError::Init("Reader lock poisoned".into()))?;
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let mut stmt = reader.prepare(query)?;
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let mut stmt = reader.prepare(&query)?;
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let params_refs: Vec<&dyn rusqlite::ToSql> = params.iter().map(|p| p.as_ref()).collect();
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let nodes = stmt.query_map(params_refs.as_slice(), Self::row_to_node)?;
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@ -384,7 +384,7 @@ pub async fn get_timeline(
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let start = Utc::now() - Duration::days(days);
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let nodes = state
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.storage
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.query_time_range(Some(start), Some(Utc::now()), limit)
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.query_time_range(Some(start), Some(Utc::now()), limit, None, None)
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.map_err(|_| StatusCode::INTERNAL_SERVER_ERROR)?;
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// Group by day
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@ -126,19 +126,20 @@ pub async fn execute(storage: &Arc<Storage>, args: Option<Value>) -> Result<Valu
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let limit = args.limit.unwrap_or(50).clamp(1, 200);
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// Query memories in time range
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let mut results = storage
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.query_time_range(start, end, limit)
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// Query memories in time range with filters pushed into SQL. Rust-side
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// `retain` after `LIMIT` was unsafe for sparse types/tags — a dominant
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// set could crowd the sparse matches out of the limit window and leave
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// the retain with 0 rows to keep.
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let results = storage
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.query_time_range(
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start,
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end,
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limit,
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args.node_type.as_deref(),
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args.tags.as_deref(),
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)
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.map_err(|e| e.to_string())?;
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// Post-query filters
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if let Some(ref node_type) = args.node_type {
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results.retain(|n| n.node_type == *node_type);
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}
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if let Some(tags) = args.tags.as_ref().filter(|t| !t.is_empty()) {
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results.retain(|n| tags.iter().any(|t| n.tags.contains(t)));
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}
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// Group by day
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let mut by_day: BTreeMap<NaiveDate, Vec<Value>> = BTreeMap::new();
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for node in &results {
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@ -204,6 +205,28 @@ mod tests {
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.unwrap();
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}
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/// Ingest with explicit node_type and tags. Used by the sparse-filter
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/// regression tests so the dominant and sparse sets can be told apart.
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async fn ingest_typed(
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storage: &Arc<Storage>,
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content: &str,
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node_type: &str,
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tags: &[&str],
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) {
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storage
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.ingest(vestige_core::IngestInput {
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content: content.to_string(),
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node_type: node_type.to_string(),
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source: None,
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sentiment_score: 0.0,
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sentiment_magnitude: 0.0,
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tags: tags.iter().map(|t| t.to_string()).collect(),
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valid_from: None,
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valid_until: None,
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})
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.unwrap();
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}
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#[test]
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fn test_schema_has_properties() {
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let s = schema();
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@ -357,4 +380,90 @@ mod tests {
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let value = result.unwrap();
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assert_eq!(value["totalMemories"], 0);
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}
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/// Regression: `node_type` filter must work even when the sparse type is
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/// crowded out by a dominant type within the SQL `LIMIT`. Before the fix,
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/// `query_time_range` applied `LIMIT` before the Rust-side `retain`, so a
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/// limit of 5 against 10 dominant + 2 sparse rows returned 5 dominant,
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/// then filtered to 0 sparse.
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#[tokio::test]
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async fn test_timeline_node_type_filter_sparse() {
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let (storage, _dir) = test_storage().await;
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// Dominant set: 10 facts
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for i in 0..10 {
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ingest_typed(&storage, &format!("Dominant memory {}", i), "fact", &["alpha"]).await;
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}
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// Sparse set: 2 concepts
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for i in 0..2 {
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ingest_typed(&storage, &format!("Sparse memory {}", i), "concept", &["beta"]).await;
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}
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// Limit 5 against 12 total — before the fix, `retain` on `concept`
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// would operate on the 5 most recent rows (all `fact`) and find 0.
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let args = serde_json::json!({ "node_type": "concept", "limit": 5 });
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let value = execute(&storage, Some(args)).await.unwrap();
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assert_eq!(
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value["totalMemories"], 2,
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"Both sparse concepts should survive a limit smaller than the dominant set"
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);
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// Also verify the storage layer directly, so the contract is pinned
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// at the API boundary even if the tool wrapper shifts.
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let nodes = storage
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.query_time_range(None, None, 5, Some("concept"), None)
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.unwrap();
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assert_eq!(nodes.len(), 2);
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assert!(nodes.iter().all(|n| n.node_type == "concept"));
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}
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/// Regression: `tags` filter must work even when the sparse tag is
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/// crowded out by a dominant tag within the SQL `LIMIT`. Parallel to
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/// the node_type sparse case — same `retain`-after-`LIMIT` bug.
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#[tokio::test]
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async fn test_timeline_tag_filter_sparse() {
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let (storage, _dir) = test_storage().await;
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// Dominant set: 10 memories with tag "common"
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for i in 0..10 {
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ingest_typed(&storage, &format!("Common memory {}", i), "fact", &["common"]).await;
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}
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// Sparse set: 2 memories with tag "rare"
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for i in 0..2 {
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ingest_typed(&storage, &format!("Rare memory {}", i), "fact", &["rare"]).await;
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}
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let args = serde_json::json!({ "tags": ["rare"], "limit": 5 });
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let value = execute(&storage, Some(args)).await.unwrap();
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assert_eq!(
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value["totalMemories"], 2,
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"Both sparse-tag matches should survive a limit smaller than the dominant set"
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);
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let tag_slice = vec!["rare".to_string()];
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let nodes = storage
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.query_time_range(None, None, 5, None, Some(&tag_slice))
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.unwrap();
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assert_eq!(nodes.len(), 2);
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assert!(nodes.iter().all(|n| n.tags.iter().any(|t| t == "rare")));
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}
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/// Regression: tag filter must match exact tags, not substrings. Without
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/// the `"tag"`-wrapped `LIKE` pattern, a query for `alpha` would also
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/// match rows tagged `alphabet`. The pattern `%"alpha"%` keys off the
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/// JSON-array quote characters and rejects that.
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#[tokio::test]
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async fn test_timeline_tag_filter_exact_match() {
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let (storage, _dir) = test_storage().await;
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ingest_typed(&storage, "Exact tag hit", "fact", &["alpha"]).await;
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ingest_typed(&storage, "Substring decoy", "fact", &["alphabet"]).await;
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let tag_slice = vec!["alpha".to_string()];
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let nodes = storage
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.query_time_range(None, None, 50, None, Some(&tag_slice))
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.unwrap();
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assert_eq!(nodes.len(), 1, "Only the exact-tag match should return");
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assert_eq!(nodes[0].content, "Exact tag hit");
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}
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}
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