1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
//! Temporal knowledge graph backed by SQLite (WAL mode).
//!
//! Why: Some facts are relational and time-bounded ("Alice worked at Acme from
//! 2020 to 2023"). Vector search alone can't represent that; a triple store with
//! `valid_from`/`valid_to` columns can.
//! What: `Triple` record + `KnowledgeGraph` (rusqlite + r2d2 pool) implementation.
//! Test: Asserting (s,p,o) twice should close the first interval and open a
//! new one; `query_active` returns only the latest.
use crate::memory_core::palace::Drawer;
use anyhow::{Context, Result};
use chrono::{DateTime, Utc};
use r2d2::Pool;
use r2d2_sqlite::SqliteConnectionManager;
use serde::{Deserialize, Serialize};
use std::path::{Path, PathBuf};
use uuid::Uuid;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Triple {
pub subject: String,
pub predicate: String,
pub object: String,
pub valid_from: DateTime<Utc>,
pub valid_to: Option<DateTime<Utc>>,
/// Confidence in [0.0, 1.0] from the asserter.
pub confidence: f32,
/// Free-form provenance string (drawer id, source URL, agent name, ...).
pub provenance: Option<String>,
}
/// Schema (created on `open` if missing):
///
/// ```sql
/// CREATE TABLE IF NOT EXISTS entities (
/// id TEXT PRIMARY KEY,
/// name TEXT NOT NULL,
/// entity_type TEXT NOT NULL,
/// properties TEXT -- JSON
/// );
///
/// CREATE TABLE IF NOT EXISTS triples (
/// id INTEGER PRIMARY KEY AUTOINCREMENT,
/// subject TEXT NOT NULL,
/// predicate TEXT NOT NULL,
/// object TEXT NOT NULL,
/// valid_from TEXT NOT NULL, -- ISO-8601
/// valid_to TEXT, -- NULL = currently active
/// confidence REAL NOT NULL,
/// provenance TEXT
/// );
///
/// CREATE INDEX IF NOT EXISTS idx_triples_subj_active
/// ON triples(subject) WHERE valid_to IS NULL;
/// ```
pub struct KnowledgeGraph {
pool: Pool<SqliteConnectionManager>,
}
impl KnowledgeGraph {
/// Open (or create) a SQLite database at `path` in WAL mode.
///
/// Why: WAL mode allows concurrent readers + a single writer, matching our
/// many-readers / few-writers workload.
/// What: Builds an r2d2 pool, sets `journal_mode=WAL`, runs migrations.
/// Test: `open(temp)` succeeds and creates schema; second `open` on same
/// path also succeeds (idempotent migrations).
pub fn open(path: &Path) -> Result<Self> {
let manager = SqliteConnectionManager::file(path);
// Why: r2d2's default `connection_timeout` is 30s. When a palace's
// `kg.db` is unopenable (corrupt, stale WAL sidecars, permissions),
// `Pool::builder().build()` blocks for the full 30s before returning
// an error — multiply that by N broken palaces at daemon startup and
// the HTTP server takes tens of minutes to bind (issue: trusty-memory
// stuck-startup on stale WAL). A 2-second timeout fails fast: healthy
// palaces open in milliseconds and never come near the ceiling, while
// broken palaces bail quickly so per-palace skipping in
// `load_palaces_from_disk` can move on to the next one.
let pool = Pool::builder()
.max_size(8)
.connection_timeout(std::time::Duration::from_secs(2))
.build(manager)
.context("failed to build sqlite connection pool")?;
let conn = pool.get().context("failed to get sqlite connection")?;
// Enable WAL mode. `pragma_update` doesn't return rows, so use query_row.
conn.query_row("PRAGMA journal_mode=WAL", [], |row| row.get::<_, String>(0))
.context("failed to enable WAL journal mode")?;
conn.execute_batch(
"CREATE TABLE IF NOT EXISTS entities (
id TEXT PRIMARY KEY,
name TEXT NOT NULL,
entity_type TEXT NOT NULL,
properties TEXT
);
CREATE TABLE IF NOT EXISTS triples (
id INTEGER PRIMARY KEY AUTOINCREMENT,
subject TEXT NOT NULL,
predicate TEXT NOT NULL,
object TEXT NOT NULL,
valid_from TEXT NOT NULL,
valid_to TEXT,
confidence REAL NOT NULL DEFAULT 1.0,
provenance TEXT
);
CREATE INDEX IF NOT EXISTS idx_triples_subj_active
ON triples(subject) WHERE valid_to IS NULL;
CREATE TABLE IF NOT EXISTS drawers (
id TEXT PRIMARY KEY,
room_id TEXT NOT NULL,
content TEXT NOT NULL,
importance REAL NOT NULL DEFAULT 0.5,
tags TEXT NOT NULL DEFAULT '[]',
source_file TEXT,
created_at TEXT NOT NULL
);",
)
.context("failed to run schema migrations")?;
Ok(Self { pool })
}
/// Assert a fact. If a contradicting active triple exists (same
/// subject+predicate, `valid_to IS NULL`), close it by setting `valid_to`
/// to this triple's `valid_from`, then insert this one as the new active
/// fact.
///
/// Why: Temporal model — facts have intervals. New assertion supersedes
/// the prior active row instead of overwriting it, preserving history.
/// What: Runs UPDATE-then-INSERT inside a single connection on a blocking
/// task so the async reactor isn't blocked by sqlite I/O.
/// Test: After two asserts of differing objects on same (s,p),
/// `query_active` returns exactly one row with the latest object.
pub async fn assert(&self, triple: Triple) -> Result<()> {
let pool = self.pool.clone();
tokio::task::spawn_blocking(move || -> Result<()> {
let conn = pool.get().context("failed to get sqlite connection")?;
let close_ts = triple.valid_from.to_rfc3339();
// Single atomic transaction: closing the prior active interval and
// inserting the new active row must either both succeed or both
// fail, otherwise a crash between the two could leave two active
// rows for the same (subject, predicate) — violating the invariant
// `query_active` relies on.
let tx = conn
.unchecked_transaction()
.context("failed to begin assert transaction")?;
tx.execute(
"UPDATE triples
SET valid_to = ?1
WHERE subject = ?2 AND predicate = ?3 AND valid_to IS NULL",
rusqlite::params![close_ts, triple.subject, triple.predicate],
)
.context("failed to close prior active interval")?;
tx.execute(
"INSERT INTO triples
(subject, predicate, object, valid_from, confidence, provenance)
VALUES (?1, ?2, ?3, ?4, ?5, ?6)",
rusqlite::params![
triple.subject,
triple.predicate,
triple.object,
triple.valid_from.to_rfc3339(),
triple.confidence,
triple.provenance,
],
)
.context("failed to insert new active triple")?;
tx.commit().context("failed to commit assert transaction")?;
Ok(())
})
.await
.context("assert spawn_blocking join error")??;
Ok(())
}
/// Return all currently active triples (`valid_to IS NULL`) for a subject.
///
/// Why: Most queries want "what is true *now*" — filtering on
/// `valid_to IS NULL` uses the partial index `idx_triples_subj_active`.
/// What: SELECT and map rows to `Triple`, parsing RFC3339 datetimes.
/// Test: After asserting one triple, `query_active(subject)` returns it;
/// for unknown subjects returns empty vec.
pub async fn query_active(&self, subject: &str) -> Result<Vec<Triple>> {
let pool = self.pool.clone();
let subject = subject.to_string();
let triples = tokio::task::spawn_blocking(move || -> Result<Vec<Triple>> {
let conn = pool.get().context("failed to get sqlite connection")?;
let mut stmt = conn
.prepare(
"SELECT subject, predicate, object, valid_from, valid_to,
confidence, provenance
FROM triples
WHERE subject = ?1 AND valid_to IS NULL",
)
.context("failed to prepare query_active statement")?;
let rows = stmt
.query_map(rusqlite::params![subject], |row| {
let valid_from: String = row.get(3)?;
let valid_to: Option<String> = row.get(4)?;
Ok((
row.get::<_, String>(0)?,
row.get::<_, String>(1)?,
row.get::<_, String>(2)?,
valid_from,
valid_to,
row.get::<_, f64>(5)? as f32,
row.get::<_, Option<String>>(6)?,
))
})
.context("failed to query active triples")?;
let mut out = Vec::new();
for row in rows {
let (subject, predicate, object, vf, vt, confidence, provenance) =
row.context("failed to read triple row")?;
let valid_from = DateTime::parse_from_rfc3339(&vf)
.context("invalid valid_from datetime")?
.with_timezone(&Utc);
let valid_to = match vt {
Some(s) => Some(
DateTime::parse_from_rfc3339(&s)
.context("invalid valid_to datetime")?
.with_timezone(&Utc),
),
None => None,
};
out.push(Triple {
subject,
predicate,
object,
valid_from,
valid_to,
confidence,
provenance,
});
}
Ok(out)
})
.await
.context("query_active spawn_blocking join error")??;
Ok(triples)
}
/// List up to `limit` distinct subjects that have at least one active triple.
///
/// Why: The KG Explorer UI needs to browse subjects without knowing one
/// upfront — `query_active` requires a subject string, so absent a list
/// endpoint there is no way to discover what subjects exist. Returning
/// only subjects with at least one currently-active triple keeps the
/// explorer focused on "live" facts (matching the partial index).
/// What: synchronous `SELECT DISTINCT subject ... WHERE valid_to IS NULL`
/// against the `triples` table, capped by `limit`, ordered alphabetically
/// for stable presentation.
/// Test: `list_subjects_returns_distinct_active_subjects`.
pub fn list_subjects(&self, limit: usize) -> Result<Vec<String>> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
let mut stmt = conn
.prepare(
"SELECT DISTINCT subject FROM triples
WHERE valid_to IS NULL
ORDER BY subject
LIMIT ?1",
)
.context("failed to prepare list_subjects statement")?;
let rows = stmt
.query_map(rusqlite::params![limit as i64], |row| {
row.get::<_, String>(0)
})
.context("failed to query subjects")?;
let mut out = Vec::new();
for row in rows {
out.push(row.context("failed to read subject row")?);
}
Ok(out)
}
/// List up to `limit` distinct active subjects paired with their active
/// triple count.
///
/// Why: The KG Explorer UI shows a count badge next to each subject so
/// operators can spot heavy subjects at a glance. Computing it server-side
/// in a single SQL pass avoids issuing one `query_active` per subject.
/// What: `SELECT subject, COUNT(*) FROM triples WHERE valid_to IS NULL
/// GROUP BY subject ORDER BY subject LIMIT ?1`. Returns `Vec<(subject,
/// count)>` ordered alphabetically.
/// Test: `list_subjects_with_counts_returns_grouped_counts`.
pub fn list_subjects_with_counts(&self, limit: usize) -> Result<Vec<(String, u64)>> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
let mut stmt = conn
.prepare(
"SELECT subject, COUNT(*) FROM triples
WHERE valid_to IS NULL
GROUP BY subject
ORDER BY subject
LIMIT ?1",
)
.context("failed to prepare list_subjects_with_counts statement")?;
let rows = stmt
.query_map(rusqlite::params![limit as i64], |row| {
Ok((row.get::<_, String>(0)?, row.get::<_, i64>(1)? as u64))
})
.context("failed to query subjects with counts")?;
let mut out = Vec::new();
for row in rows {
out.push(row.context("failed to read subject count row")?);
}
Ok(out)
}
/// List up to `limit` active triples ordered by `valid_from` descending,
/// skipping the first `offset` rows.
///
/// Why: The KG Explorer UI shows an "All" mode that pages through every
/// currently-active triple, regardless of subject. Reusing `query_active`
/// would require iterating subjects client-side; this endpoint serves the
/// table directly with a single SQL scan.
/// What: `SELECT ... WHERE valid_to IS NULL ORDER BY valid_from DESC` with
/// LIMIT/OFFSET. Rows are mapped to `Triple` exactly as in `query_active`.
/// Test: `list_active_returns_ordered_window`.
pub async fn list_active(&self, limit: usize, offset: usize) -> Result<Vec<Triple>> {
let pool = self.pool.clone();
let triples = tokio::task::spawn_blocking(move || -> Result<Vec<Triple>> {
let conn = pool.get().context("failed to get sqlite connection")?;
let mut stmt = conn
.prepare(
"SELECT subject, predicate, object, valid_from, valid_to,
confidence, provenance
FROM triples
WHERE valid_to IS NULL
ORDER BY valid_from DESC
LIMIT ?1 OFFSET ?2",
)
.context("failed to prepare list_active statement")?;
let rows = stmt
.query_map(rusqlite::params![limit as i64, offset as i64], |row| {
let valid_from: String = row.get(3)?;
let valid_to: Option<String> = row.get(4)?;
Ok((
row.get::<_, String>(0)?,
row.get::<_, String>(1)?,
row.get::<_, String>(2)?,
valid_from,
valid_to,
row.get::<_, f64>(5)? as f32,
row.get::<_, Option<String>>(6)?,
))
})
.context("failed to query active triples")?;
let mut out = Vec::new();
for row in rows {
let (subject, predicate, object, vf, vt, confidence, provenance) =
row.context("failed to read triple row")?;
let valid_from = DateTime::parse_from_rfc3339(&vf)
.context("invalid valid_from datetime")?
.with_timezone(&Utc);
let valid_to = match vt {
Some(s) => Some(
DateTime::parse_from_rfc3339(&s)
.context("invalid valid_to datetime")?
.with_timezone(&Utc),
),
None => None,
};
out.push(Triple {
subject,
predicate,
object,
valid_from,
valid_to,
confidence,
provenance,
});
}
Ok(out)
})
.await
.context("list_active spawn_blocking join error")??;
Ok(triples)
}
/// Count currently active triples (where `valid_to IS NULL`).
///
/// Why: The admin dashboard needs a per-palace tally of "live" facts in
/// the knowledge graph; querying the partial index keeps this O(active)
/// rather than O(history).
/// What: Synchronous `SELECT COUNT(*)` against the `triples` table where
/// `valid_to IS NULL`. Returns 0 on any error rather than aborting the
/// caller — this is a diagnostic counter, not a load-bearing read.
/// Test: `count_active_triples_returns_live_only`.
pub fn count_active_triples(&self) -> usize {
let conn = match self.pool.get() {
Ok(c) => c,
Err(e) => {
tracing::warn!("count_active_triples: get conn failed: {e:#}");
return 0;
}
};
conn.query_row(
"SELECT COUNT(*) FROM triples WHERE valid_to IS NULL",
[],
|row| row.get::<_, i64>(0),
)
.map(|n| n.max(0) as usize)
.unwrap_or(0)
}
/// Run a passive WAL checkpoint.
///
/// Why: SQLite WAL grows unbounded unless checkpointed; PASSIVE mode is
/// non-blocking — it checkpoints whatever pages aren't actively read.
/// What: Executes `PRAGMA wal_checkpoint(PASSIVE)` and returns the
/// (wal_pages, checkpointed_pages) tuple for logging.
/// Test: `wal_checkpoint_returns_pages`.
pub fn checkpoint(&self) -> Result<(i64, i64)> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
let (wal, checkpointed) = conn
.query_row("PRAGMA wal_checkpoint(PASSIVE)", [], |row| {
Ok((row.get::<_, i64>(1)?, row.get::<_, i64>(2)?))
})
.context("failed to execute wal_checkpoint(PASSIVE)")?;
Ok((wal, checkpointed))
}
/// Persist a drawer's metadata. Called from `PalaceHandle::remember`.
///
/// Why: The HNSW index stores only vectors keyed by UUID prefix — without
/// the metadata persisted alongside, vector hits map to nothing after a
/// cold restart and retrieval silently drops every result beyond the L1
/// snapshot (issue #32).
/// What: INSERT OR REPLACE on the `drawers` table. Tags are JSON-encoded;
/// `source_file` is stored as a string path; `created_at` is RFC3339.
/// Test: `upsert_drawer_then_load_drawers_round_trips`.
pub fn upsert_drawer(&self, drawer: &Drawer) -> Result<()> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
let tags = serde_json::to_string(&drawer.tags).context("serialize drawer tags")?;
let source_file = drawer
.source_file
.as_ref()
.map(|p| p.to_string_lossy().into_owned());
conn.execute(
"INSERT INTO drawers
(id, room_id, content, importance, tags, source_file, created_at)
VALUES (?1, ?2, ?3, ?4, ?5, ?6, ?7)
ON CONFLICT(id) DO UPDATE SET
room_id = excluded.room_id,
content = excluded.content,
importance = excluded.importance,
tags = excluded.tags,
source_file = excluded.source_file,
created_at = excluded.created_at",
rusqlite::params![
drawer.id.to_string(),
drawer.room_id.to_string(),
drawer.content,
drawer.importance as f64,
tags,
source_file,
drawer.created_at.to_rfc3339(),
],
)
.context("failed to upsert drawer")?;
Ok(())
}
/// Remove a drawer's metadata by ID. Called from `PalaceHandle::forget`.
///
/// Why: Forgetting must clear both the vector index and the persistent
/// metadata row, otherwise restart would resurrect the drawer.
/// What: DELETE FROM drawers WHERE id = ?1. No-op if id is unknown.
/// Test: `delete_drawer_removes_row`.
pub fn delete_drawer(&self, id: Uuid) -> Result<()> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
conn.execute(
"DELETE FROM drawers WHERE id = ?1",
rusqlite::params![id.to_string()],
)
.context("failed to delete drawer")?;
Ok(())
}
/// Load just the set of drawer IDs currently in the table.
///
/// Why: Issue #49 compaction only needs to know "is this UUID a live
/// drawer?", which is a fraction of the work of `load_drawers` (no JSON
/// parsing, no RFC3339 parsing, no Vec<Drawer> allocation). The CLI
/// `palace compact` path can be standalone (no PalaceHandle) and uses
/// this to build the valid-id set in one SQL pass.
/// What: `SELECT id FROM drawers`, parsing each into a `Uuid`. Rows with
/// malformed IDs are skipped with a warning rather than aborting.
/// Test: `load_drawer_ids_matches_load_drawers`.
pub fn load_drawer_ids(&self) -> Result<std::collections::HashSet<Uuid>> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
let mut stmt = conn
.prepare("SELECT id FROM drawers")
.context("failed to prepare load_drawer_ids statement")?;
let rows = stmt
.query_map([], |row| row.get::<_, String>(0))
.context("failed to query drawer ids")?;
let mut out = std::collections::HashSet::new();
for row in rows {
let id_s = row.context("failed to read drawer id row")?;
match Uuid::parse_str(&id_s) {
Ok(u) => {
out.insert(u);
}
Err(e) => {
tracing::warn!(id = %id_s, "skip drawer with invalid id: {e}");
}
}
}
Ok(out)
}
/// Load all drawer metadata. Called from `PalaceHandle::open`.
///
/// Why: Cold-start retrieval needs the full drawer table to map every
/// HNSW vector hit back to metadata; without this, only the 15 drawers
/// in the L1 snapshot are recoverable.
/// What: SELECT * FROM drawers, parsing tags as JSON, source_file as
/// optional path, created_at as RFC3339. Rows with malformed data are
/// skipped with a warning rather than aborting the whole load.
/// Test: `upsert_drawer_then_load_drawers_round_trips`.
pub fn load_drawers(&self) -> Result<Vec<Drawer>> {
let conn = self.pool.get().context("failed to get sqlite connection")?;
let mut stmt = conn
.prepare(
"SELECT id, room_id, content, importance, tags, source_file, created_at
FROM drawers",
)
.context("failed to prepare load_drawers statement")?;
let rows = stmt
.query_map([], |row| {
Ok((
row.get::<_, String>(0)?,
row.get::<_, String>(1)?,
row.get::<_, String>(2)?,
row.get::<_, f64>(3)?,
row.get::<_, String>(4)?,
row.get::<_, Option<String>>(5)?,
row.get::<_, String>(6)?,
))
})
.context("failed to query drawers")?;
let mut out = Vec::new();
for row in rows {
let (id_s, room_id_s, content, importance, tags_s, source_file_s, created_s) =
row.context("failed to read drawer row")?;
let id = match Uuid::parse_str(&id_s) {
Ok(u) => u,
Err(e) => {
tracing::warn!(id = %id_s, "skip drawer with invalid id: {e}");
continue;
}
};
let room_id = match Uuid::parse_str(&room_id_s) {
Ok(u) => u,
Err(e) => {
tracing::warn!(id = %id_s, "skip drawer with invalid room_id: {e}");
continue;
}
};
let tags: Vec<String> = serde_json::from_str(&tags_s).unwrap_or_default();
let source_file: Option<PathBuf> = source_file_s.map(PathBuf::from);
let created_at = match DateTime::parse_from_rfc3339(&created_s) {
Ok(dt) => dt.with_timezone(&Utc),
Err(e) => {
tracing::warn!(id = %id_s, "skip drawer with invalid created_at: {e}");
continue;
}
};
out.push(Drawer {
id,
room_id,
content,
importance: importance as f32,
source_file,
created_at,
tags,
last_accessed_at: None,
access_count: 0,
});
}
Ok(out)
}
}
#[cfg(test)]
mod tests {
use super::*;
use tempfile::tempdir;
#[tokio::test]
async fn open_creates_schema() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
// If open succeeds, schema was created
let result = kg.query_active("nonexistent").await.unwrap();
assert!(result.is_empty());
}
#[tokio::test]
async fn assert_then_query_active_returns_fact() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
let triple = Triple {
subject: "alice".to_string(),
predicate: "works_at".to_string(),
object: "Acme Corp".to_string(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
};
kg.assert(triple).await.unwrap();
let active = kg.query_active("alice").await.unwrap();
assert_eq!(active.len(), 1);
assert_eq!(active[0].object, "Acme Corp");
}
#[tokio::test]
async fn second_assert_closes_prior_interval() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
let t1 = Triple {
subject: "alice".to_string(),
predicate: "works_at".to_string(),
object: "Acme Corp".to_string(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
};
kg.assert(t1).await.unwrap();
let t2 = Triple {
subject: "alice".to_string(),
predicate: "works_at".to_string(),
object: "Beta Inc".to_string(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
};
kg.assert(t2).await.unwrap();
let active = kg.query_active("alice").await.unwrap();
assert_eq!(active.len(), 1, "should have exactly 1 active triple");
assert_eq!(active[0].object, "Beta Inc");
}
#[test]
fn upsert_drawer_then_load_drawers_round_trips() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
let room_id = Uuid::new_v4();
let mut d = Drawer::new(room_id, "the cold-start drawer");
d.importance = 0.83;
d.tags = vec!["alpha".into(), "beta".into()];
d.source_file = Some(PathBuf::from("/tmp/source.md"));
kg.upsert_drawer(&d).unwrap();
let loaded = kg.load_drawers().unwrap();
assert_eq!(loaded.len(), 1);
assert_eq!(loaded[0].id, d.id);
assert_eq!(loaded[0].room_id, room_id);
assert_eq!(loaded[0].content, "the cold-start drawer");
assert!((loaded[0].importance - 0.83).abs() < 1e-5);
assert_eq!(loaded[0].tags, vec!["alpha".to_string(), "beta".into()]);
assert_eq!(loaded[0].source_file, Some(PathBuf::from("/tmp/source.md")));
}
/// Why: Issue #49 — compaction needs a cheap "is this UUID a live drawer?"
/// check; `load_drawer_ids` returns the set of all stored IDs without the
/// overhead of materializing full `Drawer` rows.
/// What: Insert two drawers, call `load_drawer_ids`, and assert the
/// returned set matches the inserted IDs.
/// Test: This test itself is the verification.
#[test]
fn load_drawer_ids_matches_load_drawers() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
let room = Uuid::new_v4();
let d1 = Drawer::new(room, "one");
let d2 = Drawer::new(room, "two");
kg.upsert_drawer(&d1).unwrap();
kg.upsert_drawer(&d2).unwrap();
let ids = kg.load_drawer_ids().unwrap();
assert_eq!(ids.len(), 2);
assert!(ids.contains(&d1.id));
assert!(ids.contains(&d2.id));
}
#[test]
fn delete_drawer_removes_row() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
let d = Drawer::new(Uuid::new_v4(), "to be deleted");
kg.upsert_drawer(&d).unwrap();
kg.delete_drawer(d.id).unwrap();
let loaded = kg.load_drawers().unwrap();
assert!(loaded.is_empty());
}
#[test]
fn upsert_drawer_replaces_existing_row() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
let mut d = Drawer::new(Uuid::new_v4(), "original");
kg.upsert_drawer(&d).unwrap();
d.content = "updated".into();
d.importance = 0.95;
kg.upsert_drawer(&d).unwrap();
let loaded = kg.load_drawers().unwrap();
assert_eq!(loaded.len(), 1);
assert_eq!(loaded[0].content, "updated");
assert!((loaded[0].importance - 0.95).abs() < 1e-5);
}
/// Why: The dashboard's KG triple count must reflect only live facts
/// (`valid_to IS NULL`); closed intervals are history and must not be
/// counted.
/// What: Assert one triple, then supersede it with a contradicting one.
/// The count should be 1 (the new active row), not 2.
/// Test: This test itself.
#[tokio::test]
async fn count_active_triples_returns_live_only() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
assert_eq!(kg.count_active_triples(), 0);
kg.assert(Triple {
subject: "alice".into(),
predicate: "works_at".into(),
object: "Acme".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
assert_eq!(kg.count_active_triples(), 1);
// Superseding triple closes the prior interval — count should stay at 1.
kg.assert(Triple {
subject: "alice".into(),
predicate: "works_at".into(),
object: "Beta".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
assert_eq!(kg.count_active_triples(), 1);
}
/// Why: The Dreamer cycle calls `checkpoint()` to keep the WAL bounded;
/// the method must return a `(wal_pages, checkpointed_pages)` tuple without
/// erroring on a freshly-opened database.
/// What: Open a KG, write a triple to populate the WAL, then run a passive
/// checkpoint. Both returned values must be non-negative.
/// Test: This test itself.
#[tokio::test]
async fn wal_checkpoint_returns_pages() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
kg.assert(Triple {
subject: "s".into(),
predicate: "p".into(),
object: "o".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
let (wal, done) = kg.checkpoint().expect("checkpoint should succeed");
assert!(wal >= 0, "wal_pages must be non-negative, got {wal}");
assert!(
done >= 0,
"checkpointed_pages must be non-negative, got {done}"
);
}
/// Why: KG Explorer UI calls `list_subjects` to populate the left panel
/// without prior knowledge of subjects in the graph; only currently-active
/// (valid_to IS NULL) subjects should appear, each only once.
/// What: Assert two triples on different subjects plus one that supersedes
/// (closes) a prior subject's interval — list_subjects must return the
/// distinct set of subjects that still have at least one active row.
/// Test: this test itself.
#[tokio::test]
async fn list_subjects_returns_distinct_active_subjects() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
assert!(kg.list_subjects(50).unwrap().is_empty());
kg.assert(Triple {
subject: "bob".into(),
predicate: "knows".into(),
object: "alice".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
kg.assert(Triple {
subject: "alice".into(),
predicate: "knows".into(),
object: "bob".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
// Second assertion on same (subject, predicate) closes the first —
// still leaves one active row for "alice", so distinct count stays 2.
kg.assert(Triple {
subject: "alice".into(),
predicate: "knows".into(),
object: "carol".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
let subjects = kg.list_subjects(50).unwrap();
assert_eq!(subjects, vec!["alice".to_string(), "bob".to_string()]);
}
/// Why: KG Explorer UI shows a triple-count badge next to each subject;
/// the count must reflect only currently-active triples (valid_to IS NULL)
/// and group correctly when a subject appears in many predicates.
/// What: Assert four triples — three under "alice" (different predicates,
/// all active) and one under "bob" — then verify the grouped counts.
/// Test: this test itself.
#[tokio::test]
async fn list_subjects_with_counts_returns_grouped_counts() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
assert!(kg.list_subjects_with_counts(50).unwrap().is_empty());
for (subj, pred) in [
("alice", "knows"),
("alice", "likes"),
("alice", "owns"),
("bob", "knows"),
] {
kg.assert(Triple {
subject: subj.into(),
predicate: pred.into(),
object: "thing".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
}
let rows = kg.list_subjects_with_counts(50).unwrap();
assert_eq!(rows, vec![("alice".to_string(), 3), ("bob".to_string(), 1)]);
}
/// Why: KG Explorer's "All" mode pages through every active triple in
/// `valid_from DESC` order; the limit/offset window must cooperate with
/// the ORDER BY so prev/next paging is stable.
/// What: Assert three triples in order, then read them back with
/// `list_active` using a window of 2 starting at offset 1 — must return
/// the second-newest and the oldest, in that order.
/// Test: this test itself.
#[tokio::test]
async fn list_active_returns_ordered_window() {
let dir = tempdir().unwrap();
let kg = KnowledgeGraph::open(&dir.path().join("kg.db")).unwrap();
// Use distinct (subject, predicate) so none supersede each other and
// we keep three active rows. valid_from is "now" but the AUTOINCREMENT
// primary key (plus RFC3339 string ordering at 1s granularity) means
// we must space them out enough for ORDER BY valid_from DESC to be
// deterministic.
for i in 0..3 {
kg.assert(Triple {
subject: format!("subj-{i}"),
predicate: "rel".into(),
object: format!("obj-{i}"),
valid_from: Utc::now() + chrono::Duration::milliseconds(i * 10),
valid_to: None,
confidence: 1.0,
provenance: None,
})
.await
.unwrap();
}
let all = kg.list_active(10, 0).await.unwrap();
assert_eq!(all.len(), 3);
// Newest first (i=2 was inserted with the latest valid_from).
assert_eq!(all[0].subject, "subj-2");
assert_eq!(all[2].subject, "subj-0");
// Window of size 2 starting at offset 1 → second-newest and oldest.
let window = kg.list_active(2, 1).await.unwrap();
assert_eq!(window.len(), 2);
assert_eq!(window[0].subject, "subj-1");
assert_eq!(window[1].subject, "subj-0");
}
#[tokio::test]
async fn wal_mode_enabled() {
let dir = tempdir().unwrap();
let db_path = dir.path().join("kg.db");
let kg = KnowledgeGraph::open(&db_path).unwrap();
// Write something to ensure the DB is fully initialized.
let triple = Triple {
subject: "s".into(),
predicate: "p".into(),
object: "o".into(),
valid_from: Utc::now(),
valid_to: None,
confidence: 1.0,
provenance: None,
};
kg.assert(triple).await.unwrap();
// Verify the actual journal_mode pragma on a fresh connection so we're
// not relying on filesystem sidecars (which may be cleaned up between
// writes in some SQLite builds).
let conn = rusqlite::Connection::open(&db_path).unwrap();
let mode: String = conn
.query_row("PRAGMA journal_mode", [], |r| r.get(0))
.unwrap();
assert_eq!(
mode.to_lowercase(),
"wal",
"journal_mode should be wal, got {mode}"
);
}
}