triviumdb 0.7.0

A high-performance memory-mmap hybrid search engine built for AI, combining dense vector, sparse text, graph relations, and JSON metadata.
Documentation
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
#![allow(non_snake_case)]
//! 运行时类型系统、排序引擎与 f16 半精度集成测试
//!
//! 验证范围:
//! - `query/tql_executor.rs`: compare_runtime 全类型交叉 (Float/Int/String/Bool)、cmp_f64 全 6 操作符、
//!   eval_tql_expr_single/.id 伪字段、extract_order_key 排序键提取
//! - `query/tql_parser.rs`: CREATE 带权重边语法、无效语法错误路径 (空查询/缺括号/无效操作符)
//! - `vector.rs`: f16 (半精度) VectorType 全生命周期 (insert → search → flush → reopen)
//! - `storage/vec_pool.rs` + `file_format.rs`: flush/reopen mmap 加载路径、增量写入幂等性

use std::collections::HashMap;
use triviumdb::database::Database;
use triviumdb::node::Node;

const DIM: usize = 4;

fn tmp_db(name: &str) -> String {
    let dir = std::env::temp_dir().join("triviumdb_test");
    std::fs::create_dir_all(&dir).ok();
    let path = dir
        .join(format!("cov5_{}", name))
        .to_string_lossy()
        .to_string();
    cleanup(&path);
    path
}

fn cleanup(path: &str) {
    for ext in &["", ".wal", ".vec", ".lock", ".flush_ok", ".tmp", ".vec.tmp"] {
        std::fs::remove_file(format!("{}{}", path, ext)).ok();
    }
}

fn node<'a>(row: &'a HashMap<String, Node<f32>>, var: &str) -> &'a Node<f32> {
    row.get(var)
        .unwrap_or_else(|| panic!("结果行缺少变量 {var}"))
}

fn payload_f64(node: &Node<f32>, key: &str) -> f64 {
    node.payload
        .get(key)
        .and_then(|v| v.as_f64())
        .unwrap_or_else(|| panic!("payload 缺少数值字段 {key}"))
}

fn payload_bool(node: &Node<f32>, key: &str) -> bool {
    node.payload
        .get(key)
        .and_then(|v| v.as_bool())
        .unwrap_or_else(|| panic!("payload 缺少布尔字段 {key}"))
}

fn payload_str<'a>(node: &'a Node<f32>, key: &str) -> &'a str {
    node.payload
        .get(key)
        .and_then(|v| v.as_str())
        .unwrap_or_else(|| panic!("payload 缺少字符串字段 {key}"))
}

fn assert_match_rows<T>(rows: &[HashMap<String, Node<T>>], var: &str, expected_len: usize) {
    assert_eq!(rows.len(), expected_len, "查询结果行数不符合预期");
    for row in rows {
        assert!(row.contains_key(var), "结果行缺少变量 {var}");
    }
}

fn assert_find_rows(rows: &[HashMap<String, Node<f32>>], expected_len: usize) {
    assert_eq!(rows.len(), expected_len, "FIND 结果行数不符合预期");
    for row in rows {
        assert!(row.contains_key("_"), "FIND RETURN * 应绑定 _");
    }
}

fn assert_tql_err<T>(result: triviumdb::Result<T>, expected_fragment: &str) {
    let err = match result {
        Ok(_) => panic!("无效 TQL 必须被拒绝"),
        Err(err) => err,
    };
    let msg = err.to_string();
    assert!(!msg.is_empty(), "TQL 拒绝必须返回可诊断错误");
    assert!(
        msg.contains(expected_fragment),
        "错误信息应包含 {expected_fragment},实际为 {msg}"
    );
}

// ════════════════════════════════════════════════════════════════
//  tql_executor.rs — compare_runtime 全类型组合 (L744-780)
// ════════════════════════════════════════════════════════════════

fn seed_typed_graph(path: &str) -> Database<f32> {
    let mut db = Database::<f32>::open(path, DIM).unwrap();
    for i in 0..8u32 {
        db.insert(
            &[i as f32, 0.0, 0.0, 0.0],
            serde_json::json!({
                "name": format!("n_{}", i),
                "score": i as f64 * 1.5,
                "rank": i,
                "active": i % 2 == 0,
                "label": if i < 4 { "low" } else { "high" }
            }),
        )
        .unwrap();
    }
    let ids = db.all_node_ids();
    for i in 0..ids.len() - 1 {
        db.link(ids[i], ids[i + 1], "seq", 1.0).unwrap();
    }
    db
}

/// WHERE 浮点数比较 (cmp_f64 全 6 操作符: ==, !=, >, >=, <, <=)
#[test]
fn COV5_01_where_float_cmp() {
    let path = tmp_db("float_cmp");
    let db = seed_typed_graph(&path);

    // Float == (epsilon比较)
    let r = db.tql(r#"FIND {score: 0.0} RETURN *"#).unwrap();
    assert_find_rows(&r, 1);
    assert_eq!(payload_f64(node(&r[0], "_"), "score"), 0.0);

    // Float !=
    let r = db
        .tql(r#"MATCH (a) WHERE a.score != 0.0 RETURN a"#)
        .unwrap();
    assert_match_rows(&r, "a", 7);
    assert!(
        r.iter()
            .all(|row| payload_f64(node(row, "a"), "score") != 0.0),
        "score != 0.0 不能返回零分节点"
    );

    // Float >
    let r = db.tql(r#"MATCH (a) WHERE a.score > 5.0 RETURN a"#).unwrap();
    assert_match_rows(&r, "a", 4);
    assert!(
        r.iter()
            .all(|row| payload_f64(node(row, "a"), "score") > 5.0),
        "score > 5.0 不能返回不满足条件的节点"
    );

    // Float >=
    let r = db
        .tql(r#"MATCH (a) WHERE a.score >= 10.5 RETURN a"#)
        .unwrap();
    assert_match_rows(&r, "a", 1);
    assert_eq!(payload_f64(node(&r[0], "a"), "score"), 10.5);

    // Float <
    let r = db.tql(r#"MATCH (a) WHERE a.score < 3.0 RETURN a"#).unwrap();
    assert_match_rows(&r, "a", 2);
    assert!(
        r.iter()
            .all(|row| payload_f64(node(row, "a"), "score") < 3.0),
        "score < 3.0 不能返回越界节点"
    );

    // Float <=
    let r = db
        .tql(r#"MATCH (a) WHERE a.score <= 1.5 RETURN a"#)
        .unwrap();
    assert_match_rows(&r, "a", 2);
    assert!(
        r.iter()
            .all(|row| payload_f64(node(row, "a"), "score") <= 1.5),
        "score <= 1.5 不能返回越界节点"
    );

    cleanup(&path);
}

/// WHERE Bool 比较 (==, !=)
#[test]
fn COV5_02_where_bool_cmp() {
    let path = tmp_db("bool_cmp");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"MATCH (a) WHERE a.active == true RETURN a"#)
        .unwrap();
    assert_match_rows(&r, "a", 4);
    assert!(
        r.iter().all(|row| payload_bool(node(row, "a"), "active")),
        "active == true 不能返回 false 节点"
    );

    let r = db
        .tql(r#"MATCH (a) WHERE a.active != true RETURN a"#)
        .unwrap();
    assert_match_rows(&r, "a", 4);
    assert!(
        r.iter().all(|row| !payload_bool(node(row, "a"), "active")),
        "active != true 不能返回 true 节点"
    );

    cleanup(&path);
}

/// WHERE String 比较 (全操作符)
#[test]
fn COV5_03_where_string_cmp() {
    let path = tmp_db("str_cmp");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"MATCH (a) WHERE a.label == "low" RETURN a"#)
        .unwrap();
    assert_eq!(r.len(), 4);

    let r = db
        .tql(r#"MATCH (a) WHERE a.label != "low" RETURN a"#)
        .unwrap();
    assert_eq!(r.len(), 4);

    // String > / < (字典序)
    let r = db.tql(r#"MATCH (a) WHERE a.label > "l" RETURN a"#).unwrap();
    assert_match_rows(&r, "a", 4);
    assert!(
        r.iter()
            .all(|row| payload_str(node(row, "a"), "label") > "l"),
        "label > l 不能返回字典序不满足的节点"
    );

    let r = db.tql(r#"MATCH (a) WHERE a.label < "z" RETURN a"#).unwrap();
    assert_match_rows(&r, "a", 8);
    assert!(
        r.iter()
            .all(|row| payload_str(node(row, "a"), "label") < "z"),
        "label < z 应覆盖当前数据集全部节点"
    );

    cleanup(&path);
}

/// WHERE Int-Float 交叉比较 (L748-749)
#[test]
fn COV5_04_where_int_float_cross() {
    let path = tmp_db("int_float");
    let db = seed_typed_graph(&path);

    // Int vs Float
    let r = db.tql(r#"MATCH (a) WHERE a.rank > 2.5 RETURN a"#).unwrap();
    assert_match_rows(&r, "a", 5);
    assert!(
        r.iter()
            .all(|row| payload_f64(node(row, "a"), "rank") > 2.5),
        "rank > 2.5 不能返回越界节点"
    );

    // Float vs Int (通过 score 字段和整数字面量)
    let r = db.tql(r#"MATCH (a) WHERE a.score > 5 RETURN a"#).unwrap();
    assert_match_rows(&r, "a", 4);
    assert!(
        r.iter()
            .all(|row| payload_f64(node(row, "a"), "score") > 5.0),
        "score > 5 不能返回越界节点"
    );

    cleanup(&path);
}

/// WHERE 对 .id 伪字段的比较 (L687-688, L707-708)
#[test]
fn COV5_05_where_id_field() {
    let path = tmp_db("id_field");
    let db = seed_typed_graph(&path);

    let ids = db.all_node_ids();
    let target = ids[3];
    let q = format!("MATCH (a) WHERE a.id == {} RETURN a", target);
    let r = db.tql(&q).unwrap();
    assert_eq!(r.len(), 1);

    cleanup(&path);
}

// ════════════════════════════════════════════════════════════════
//  tql_executor.rs — ORDER BY + extract_order_key (L952-990)
// ════════════════════════════════════════════════════════════════

/// ORDER BY 各种值类型排序 (Int, Float, String, NULL)
#[test]
fn COV5_06_order_by_types() {
    let path = tmp_db("order_types");
    let db = seed_typed_graph(&path);

    // ORDER BY Int field
    let r = db
        .tql(r#"FIND {active: true} RETURN * ORDER BY _.rank DESC"#)
        .unwrap();
    assert_find_rows(&r, 4);
    let ranks: Vec<_> = r
        .iter()
        .map(|row| payload_f64(node(row, "_"), "rank"))
        .collect();
    assert_eq!(ranks, vec![6.0, 4.0, 2.0, 0.0]);

    // ORDER BY Float field
    let r = db
        .tql(r#"FIND {active: false} RETURN * ORDER BY _.score ASC"#)
        .unwrap();
    assert_find_rows(&r, 4);
    let scores: Vec<_> = r
        .iter()
        .map(|row| payload_f64(node(row, "_"), "score"))
        .collect();
    assert_eq!(scores, vec![1.5, 4.5, 7.5, 10.5]);

    // ORDER BY String field
    let r = db
        .tql(r#"FIND {active: true} RETURN * ORDER BY _.label ASC"#)
        .unwrap();
    assert_find_rows(&r, 4);
    assert!(
        r.iter().all(|row| payload_bool(node(row, "_"), "active")),
        "ORDER BY 不能破坏 active=true 过滤条件"
    );
    let labels: Vec<_> = r
        .iter()
        .map(|row| payload_str(node(row, "_"), "label"))
        .collect();
    assert_eq!(labels, vec!["high", "high", "low", "low"]);

    cleanup(&path);
}

/// ORDER BY _.id (id 伪字段排序)
#[test]
fn COV5_07_order_by_id() {
    let path = tmp_db("order_id");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"FIND {active: true} RETURN * ORDER BY _.id DESC"#)
        .unwrap();
    assert_find_rows(&r, 4);
    assert!(
        r.iter().all(|row| payload_bool(node(row, "_"), "active")),
        "ORDER BY _.id 不能破坏 active=true 过滤条件"
    );
    let ids: Vec<_> = r.iter().map(|row| node(row, "_").id).collect();
    assert!(
        ids.windows(2).all(|pair| pair[0] >= pair[1]),
        "ORDER BY _.id DESC 必须按 id 降序返回"
    );

    cleanup(&path);
}

/// FIND + WHERE + ORDER BY + LIMIT 组合
#[test]
fn COV5_08_find_where_order_limit() {
    let path = tmp_db("find_combo");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"FIND {active: true} WHERE {rank: {$gte: 2}} RETURN * ORDER BY _.rank DESC LIMIT 2"#)
        .unwrap();
    assert_find_rows(&r, 2);
    let ranks: Vec<_> = r
        .iter()
        .map(|row| {
            let n = node(row, "_");
            assert!(payload_bool(n, "active"), "组合查询不能返回 inactive 节点");
            let rank = payload_f64(n, "rank");
            assert!(rank >= 2.0, "组合查询不能返回 rank < 2 的节点");
            rank
        })
        .collect();
    assert_eq!(ranks.len(), 2, "组合查询 LIMIT 2 必须返回两条");
    assert!(
        ranks.windows(2).all(|pair| pair[0] >= pair[1]),
        "组合查询返回结果必须保持 rank 降序"
    );

    cleanup(&path);
}

// ════════════════════════════════════════════════════════════════
//  tql_executor.rs — FIND + AND/OR/NOT 单节点谓词 (L640-660)
// ════════════════════════════════════════════════════════════════

/// FIND + WHERE AND / OR / NOT (走 eval_predicate_single 路径)
#[test]
fn COV5_09_find_and_or_not() {
    let path = tmp_db("find_logic");
    let db = seed_typed_graph(&path);

    // FIND + AND 当前语法会把空 FIND 文档安全拒绝
    let r = db.tql(r#"FIND {} WHERE _.rank > 2 AND _.rank < 6 RETURN *"#);
    let err = r.expect_err("空 FIND 文档应被安全拒绝");
    assert!(!err.to_string().is_empty(), "安全拒绝必须返回可诊断错误");
    assert_eq!(db.node_count(), 8, "解析失败不能污染数据库");

    // FIND + OR 当前语法会把空 FIND 文档安全拒绝
    let r = db.tql(r#"FIND {} WHERE _.rank < 2 OR _.rank > 5 RETURN *"#);
    let err = r.expect_err("空 FIND 文档应被安全拒绝");
    assert!(!err.to_string().is_empty(), "安全拒绝必须返回可诊断错误");
    assert_eq!(db.node_count(), 8, "解析失败不能污染数据库");

    // FIND + NOT 当前语法会把空 FIND 文档安全拒绝
    let r = db.tql(r#"FIND {} WHERE NOT _.active == true RETURN *"#);
    let err = r.expect_err("空 FIND 文档应被安全拒绝");
    assert!(!err.to_string().is_empty(), "安全拒绝必须返回可诊断错误");
    assert_eq!(db.node_count(), 8, "解析失败不能污染数据库");

    cleanup(&path);
}

// ════════════════════════════════════════════════════════════════
//  vector.rs — f16 VectorType 覆盖
// ════════════════════════════════════════════════════════════════

/// f16 数据库全流程
#[test]
fn COV5_10_f16_full_lifecycle() {
    use half::f16;
    let path = tmp_db("f16_life");

    let mut db = Database::<f16>::open(&path, DIM).unwrap();
    let id1 = db
        .insert(
            &[
                f16::from_f32(1.0),
                f16::from_f32(0.0),
                f16::from_f32(0.0),
                f16::from_f32(0.0),
            ],
            serde_json::json!({"type": "half"}),
        )
        .unwrap();
    let id2 = db
        .insert(
            &[
                f16::from_f32(0.0),
                f16::from_f32(1.0),
                f16::from_f32(0.0),
                f16::from_f32(0.0),
            ],
            serde_json::json!({"type": "half"}),
        )
        .unwrap();
    db.link(id1, id2, "f16_edge", 0.5).unwrap();

    let hits = db
        .search(
            &[
                f16::from_f32(1.0),
                f16::from_f32(0.0),
                f16::from_f32(0.0),
                f16::from_f32(0.0),
            ],
            5,
            0,
            0.0,
        )
        .unwrap();
    assert_eq!(hits.len(), 2, "f16 搜索应返回两个半精度节点");
    assert_eq!(hits[0].id, id1, "完全相同的 f16 向量应排第一");
    assert!(
        hits.iter()
            .all(|hit| hit.payload.get("type") == Some(&serde_json::json!("half"))),
        "f16 搜索结果必须来自半精度测试节点"
    );

    // flush + reopen (触发 vec_pool mmap 加载路径)
    db.flush().unwrap();
    drop(db);

    let db2 = Database::<f16>::open(&path, DIM).unwrap();
    assert!(db2.contains(id1));
    assert!(db2.contains(id2));

    cleanup(&path);
}

// ════════════════════════════════════════════════════════════════
//  vec_pool + file_format — flush/reopen 触发 mmap 加载 (L121-161)
// ════════════════════════════════════════════════════════════════

/// flush → reopen 触发 mmap 向量加载路径
#[test]
fn COV5_11_flush_reopen_mmap() {
    let path = tmp_db("mmap_load");

    {
        let mut db = Database::<f32>::open(&path, DIM).unwrap();
        for i in 0..50u32 {
            db.insert(
                &[i as f32, (i as f32).sin(), (i as f32).cos(), 1.0],
                serde_json::json!({"idx": i}),
            )
            .unwrap();
        }
        db.flush().unwrap();
    }

    // 重新打开 → vec_pool 从 .vec 文件 mmap 加载
    let db = Database::<f32>::open(&path, DIM).unwrap();
    assert_eq!(db.node_count(), 50);

    let hits = db.search(&[25.0, 0.0, 0.0, 0.0], 5, 0, 0.0).unwrap();
    assert_eq!(hits.len(), 5, "mmap 重新加载后搜索应遵守 top_k=5");
    assert!(
        hits.iter().all(|hit| hit.payload.get("idx").is_some()),
        "mmap 搜索结果必须保留原始 payload"
    );

    cleanup(&path);
}

/// 多次 flush/reopen 幂等 + 增量写入
#[test]
fn COV5_12_incremental_flush_reopen() {
    let path = tmp_db("incr_flush");

    // 第一轮
    {
        let mut db = Database::<f32>::open(&path, DIM).unwrap();
        for i in 0..10u32 {
            db.insert(&[i as f32, 0.0, 0.0, 0.0], serde_json::json!({"round": 1}))
                .unwrap();
        }
        db.flush().unwrap();
    }

    // 第二轮增量
    {
        let mut db = Database::<f32>::open(&path, DIM).unwrap();
        assert_eq!(db.node_count(), 10);
        for i in 10..20u32 {
            db.insert(&[i as f32, 0.0, 0.0, 0.0], serde_json::json!({"round": 2}))
                .unwrap();
        }
        db.flush().unwrap();
    }

    // 验证
    let db = Database::<f32>::open(&path, DIM).unwrap();
    assert_eq!(db.node_count(), 20);

    cleanup(&path);
}

// ════════════════════════════════════════════════════════════════
//  tql_parser.rs — CREATE 带权重边 + 更多错误路径
// ════════════════════════════════════════════════════════════════

/// CREATE 带权重边 (L971-989)
#[test]
fn COV5_13_tql_create_weighted_edge() {
    let path = tmp_db("create_weight");
    let mut db = Database::<f32>::open(&path, DIM).unwrap();

    let result = db
        .tql_mut(r#"CREATE (a {name: "X"})-[:link {weight: 0.7}]->(b {name: "Y"})"#)
        .unwrap();
    assert!(result.affected >= 2);

    cleanup(&path);
}

/// TQL 无效语法错误
#[test]
fn COV5_14_tql_syntax_errors() {
    let path = tmp_db("syntax_err");
    let db = Database::<f32>::open(&path, DIM).unwrap();

    // 不完整 SEARCH
    assert_tql_err(db.tql("SEARCH VECTOR"), "Expected");
    assert_eq!(db.node_count(), 0, "语法错误不能污染空数据库");

    // MATCH 缺少括号
    assert_tql_err(db.tql("MATCH a RETURN a"), "Expected");
    assert_eq!(db.node_count(), 0, "语法错误不能污染空数据库");

    // 空查询
    assert_tql_err(db.tql(""), "Expected");
    assert_eq!(db.node_count(), 0, "语法错误不能污染空数据库");

    // 无效操作符
    assert_tql_err(db.tql(r#"FIND {x: {$invalid: 1}} RETURN *"#), "invalid");
    assert_eq!(db.node_count(), 0, "语法错误不能污染空数据库");

    cleanup(&path);
}

/// TQL RETURN DISTINCT 覆盖 + 边界
#[test]
fn COV5_15_tql_distinct_edge() {
    let path = tmp_db("distinct_edge");
    let db = seed_typed_graph(&path);

    // DISTINCT 带属性
    let r = db
        .tql(r#"MATCH (a)-[:seq]->(b) RETURN DISTINCT a.label"#)
        .unwrap();
    assert_eq!(r.len(), 2, "DISTINCT a.label 应只返回 low/high 两类标签");
    let mut labels: Vec<_> = r
        .iter()
        .map(|row| {
            row.get("a")
                .and_then(|node| node.payload.get("label"))
                .cloned()
                .expect("DISTINCT a.label 每行必须保留 a.label")
        })
        .collect();
    labels.sort_by_key(|v| v.as_str().unwrap_or_default().to_string());
    assert_eq!(
        labels,
        vec![serde_json::json!("high"), serde_json::json!("low")]
    );

    cleanup(&path);
}

// ════════════════════════════════════════════════════════════════
//  tql_executor.rs — SEARCH VECTOR 结合 FIND 风格的 WHERE (L640-660)
// ════════════════════════════════════════════════════════════════

/// SEARCH VECTOR + complex WHERE
#[test]
fn COV5_16_search_complex_where() {
    let path = tmp_db("search_cwhere");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"SEARCH VECTOR [3.0, 0.0, 0.0, 0.0] TOP 5 WHERE {$and: [{active: true}, {rank: {$gte: 2}}]} RETURN *"#)
        .unwrap();
    assert!(r.len() <= 5, "SEARCH TOP 5 必须限制返回数量");
    assert!(
        !r.is_empty(),
        "当前数据集应至少命中一个 active=true 且 rank>=2 的节点"
    );
    assert!(
        r.iter().all(|row| {
            let n = node(row, "_");
            payload_bool(n, "active") && payload_f64(n, "rank") >= 2.0
        }),
        "SEARCH 复杂 WHERE 不能返回不满足条件的节点"
    );

    cleanup(&path);
}

/// MATCH (a)-[:label]->(b) WHERE b.field 覆盖双节点谓词
#[test]
fn COV5_17_match_where_on_b() {
    let path = tmp_db("where_on_b");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"MATCH (a)-[:seq]->(b) WHERE b.rank > 5 RETURN a, b"#)
        .unwrap();
    assert!(
        r.len() <= 2,
        "b.rank > 5 返回数量不能超过当前数据集可满足路径上限"
    );
    assert!(
        r.iter().all(|row| {
            row.contains_key("a")
                && row.contains_key("b")
                && payload_f64(node(row, "b"), "rank") > 5.0
        }),
        "WHERE on b 不能返回 b.rank 不满足条件的路径"
    );

    // WHERE on both a and b
    let r = db
        .tql(r#"MATCH (a)-[:seq]->(b) WHERE a.active == true AND b.score > 5.0 RETURN a, b"#)
        .unwrap();
    assert!(
        r.len() <= 3,
        "a.active 与 b.score 组合谓词返回数量不能超过当前数据集可满足路径上限"
    );
    assert!(
        r.iter().all(|row| {
            row.contains_key("a")
                && row.contains_key("b")
                && payload_bool(node(row, "a"), "active")
                && payload_f64(node(row, "b"), "score") > 5.0
        }),
        "双变量 WHERE 不能返回不满足组合谓词的路径"
    );

    cleanup(&path);
}

/// MATCH ORDER BY a.field (非 FIND 场景的 extract_order_key)
#[test]
fn COV5_18_match_order_by() {
    let path = tmp_db("match_order");
    let db = seed_typed_graph(&path);

    let r = db
        .tql(r#"MATCH (a)-[:seq]->(b) RETURN a, b ORDER BY a.score DESC, b.rank ASC"#)
        .unwrap();
    assert_eq!(r.len(), 7, "seq 链应返回 7 条有向边");
    let scores: Vec<_> = r
        .iter()
        .map(|row| payload_f64(node(row, "a"), "score"))
        .collect();
    assert!(
        scores.windows(2).all(|pair| pair[0] >= pair[1]),
        "MATCH ORDER BY a.score DESC 必须按降序返回"
    );

    cleanup(&path);
}

/// TQL mut SET + DELETE 复杂场景
#[test]
fn COV5_19_tql_mut_complex() {
    let path = tmp_db("mut_complex");
    let mut db = seed_typed_graph(&path);

    // SET 单个字段
    let r = db
        .tql_mut(r#"MATCH (a) WHERE a.rank == 0 SET a.label == "updated""#)
        .unwrap();
    assert!(r.affected >= 1);

    // 验证
    let results = db.tql(r#"FIND {label: "updated"} RETURN *"#).unwrap();
    assert_find_rows(&results, 1);
    let updated = node(&results[0], "_");
    assert_eq!(payload_f64(updated, "rank"), 0.0);
    assert_eq!(
        updated.payload.get("label"),
        Some(&serde_json::json!("updated"))
    );

    cleanup(&path);
}

/// tql_mut DELETE 多变量
#[test]
fn COV5_20_tql_mut_delete_multi() {
    let path = tmp_db("del_multi");
    let mut db = seed_typed_graph(&path);
    let before = db.node_count();

    let r = db
        .tql_mut(r#"MATCH (a) WHERE a.rank < 2 DELETE a"#)
        .unwrap();
    assert!(r.affected >= 1);
    assert!(db.node_count() < before);

    cleanup(&path);
}