wedb_embed 0.1.4

Embedded database engine providing Redis-like APIs, built on fjall / 嵌入式数据库引擎,提供类似 Redis 的接口,底层基于 fjall 开发
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
use aok::Void;
use sonic_rs::{JsonValueTrait, Value};
use tempfile::tempdir;
use wedb_embed::{
  Fjall, WeDb,
  json::{
    JsonArrIndex, JsonMeta, JsonSet, JsonStorageFormat, PathSegment, delete_path_values,
    get_path_values, json_merge_patch, mutate_path_values, parse_json_path,
  },
};

#[ctor::ctor(unsafe)]
fn _log_init() {
  log_init::init();
}

#[test]
fn test_json_set_get_del() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  db.json_set_one(
    "doc",
    "$",
    r#"{"a": 1, "b": "hello", "nested": {"k": "v"}}"#,
  )?;
  let val_b = db.json_get_one("doc", "$.b")?;
  assert_eq!(val_b, Some(r#"["hello"]"#.to_string()));

  let val_nested = db.json_get_one("doc", "$.nested.k")?;
  assert_eq!(val_nested, Some(r#"["v"]"#.to_string()));

  db.json_set_one("doc", "$.c", r#"[10, 20]"#)?;
  let val_c = db.json_get_one("doc", "$.c")?;
  assert_eq!(val_c, Some(r#"[[10,20]]"#.to_string()));

  assert_eq!(db.json_del("doc", Some("$.a"))?, 1);
  assert_eq!(db.json_get_one("doc", "$.a")?, Some("[]".to_string()));

  let full = db.json_get("doc", &[], [])?;
  assert!(full.is_some());

  assert_eq!(db.json_del("doc", None)?, 1);
  assert_eq!(db.json_get("doc", &[], [])?, None);

  // 尝试在不存在的 key 的非根路径设置(应报错)
  let err = db.json_set_one("new_key", "$.sub", r#"{"x": 1}"#);
  assert!(err.is_err());

  Ok(())
}

#[test]
fn test_json_advanced_ops() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  // 1. JSON.SET with NX / XX
  assert!(db.json_set(
    "user",
    "$",
    r#"{"name": "Alice", "age": 30, "active": true, "skills": ["rust", "c++"]}"#,
    [JsonSet::Nx]
  )?);
  assert!(!db.json_set("user", "$", r#"{"name": "Bob"}"#, [JsonSet::Nx])?);
  assert!(db.json_set("user", "$.name", r#""Alice Bob""#, [JsonSet::Xx])?);

  // 2. JSON.TYPE
  let t = db.json_type("user", Some("$.name"))?;
  assert_eq!(t, vec!["string"]);
  let t_age = db.json_type("user", Some("$.age"))?;
  assert_eq!(t_age, vec!["integer"]);
  let t_skills = db.json_type("user", Some("$.skills"))?;
  assert_eq!(t_skills, vec!["array"]);

  // 3. JSON.NUMINCRBY & NUMMULTBY
  let incr_res = db.json_numincrby("user", "$.age", "5")?;
  assert!(incr_res.is_some());
  let get_age = db.json_get_one("user", "$.age")?;
  assert_eq!(get_age, Some("[35]".to_string()));

  db.json_nummultby("user", "$.age", "2")?;
  let get_age_mult = db.json_get_one("user", "$.age")?;
  assert_eq!(get_age_mult, Some("[70]".to_string()));

  // 4. JSON.STRAPPEND & STRLEN
  db.json_strappend("user", Some("$.name"), " Jr.")?;
  let len = db.json_strlen("user", Some("$.name"))?;
  assert_eq!(len, vec![Some(13)]);

  // 5. JSON.ARRAPPEND, ARRLEN, ARRPOP, ARRTRIM
  db.json_arrappend("user", "$.skills", &[r#""go""#, r#""python""#])?;
  let arr_len = db.json_arrlen("user", Some("$.skills"))?;
  assert_eq!(arr_len, vec![Some(4)]);

  let popped = db.json_arrpop("user", Some("$.skills"), Some(-1))?;
  assert_eq!(popped, vec![Some(r#""python""#.to_string())]);

  db.json_arrtrim("user", "$.skills", 0, 1)?;
  let trim_len = db.json_arrlen("user", Some("$.skills"))?;
  assert_eq!(trim_len, vec![Some(2)]);

  // 6. JSON.TOGGLE
  let toggled = db.json_toggle("user", Some("$.active"))?;
  assert_eq!(toggled, vec![Some(false)]);

  // 7. JSON.OBJKEYS & OBJLEN
  let keys = db.json_objkeys("user", Some("$"))?;
  assert_eq!(keys.len(), 1);
  assert!(keys[0].as_ref().unwrap().contains(&"name".to_string()));

  let obj_len = db.json_objlen("user", Some("$"))?;
  assert_eq!(obj_len, vec![Some(4)]);

  // 8. JSON.MERGE (RFC 7396)
  db.json_merge("user", "$", r#"{"location": "Tokyo", "active": null}"#)?;
  let loc = db.json_get_one("user", "$.location")?;
  assert_eq!(loc, Some(r#"["Tokyo"]"#.to_string()));
  let active = db.json_get_one("user", "$.active")?;
  assert_eq!(active, Some("[]".to_string()));

  // 9. JSON.MGET
  db.json_set_one("user2", "$", r#"{"location": "Osaka"}"#)?;
  let mget = db.json_mget(&["user", "user2", "nonexistent"], "$.location")?;
  assert_eq!(mget.len(), 3);
  assert_eq!(mget[0], Some(r#"["Tokyo"]"#.to_string()));
  assert_eq!(mget[1], Some(r#"["Osaka"]"#.to_string()));
  assert_eq!(mget[2], None);

  // 10. JSON.INFO
  let info = db.json_info("user")?;
  assert!(info.is_some());
  assert_eq!(info.unwrap().0, JsonStorageFormat::Json);

  // 11. JSON.CLEAR
  let cleared = db.json_clear("user", Some("$.skills"))?;
  assert_eq!(cleared, 1);
  let skills_len = db.json_arrlen("user", Some("$.skills"))?;
  assert_eq!(skills_len, vec![Some(0)]);

  Ok(())
}

#[test]
fn test_json_arrinsert_and_arrindex_boundaries() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  db.json_set_one("arrdoc", "$", r#"{"nums": [10, 20, 30]}"#)?;

  // 1. ARRINSERT 正向与反向插入
  let ins1 = db.json_arrinsert("arrdoc", "$.nums", 1, &[r#"15"#])?;
  assert_eq!(ins1, vec![Some(4)]);
  let val1 = db.json_get_one("arrdoc", "$.nums")?;
  assert_eq!(val1, Some("[[10,15,20,30]]".to_string()));

  let ins2 = db.json_arrinsert("arrdoc", "$.nums", -1, &[r#"25"#])?;
  assert_eq!(ins2, vec![Some(5)]);
  let val2 = db.json_get_one("arrdoc", "$.nums")?;
  assert_eq!(val2, Some("[[10,15,20,25,30]]".to_string()));

  // 超出边界插入应返回 None
  let ins_out = db.json_arrinsert("arrdoc", "$.nums", 100, &[r#"999"#])?;
  assert_eq!(ins_out, vec![None]);

  // 2. ARRINDEX 检索与区间过滤
  let idx1 = db.json_arrindex("arrdoc", "$.nums", "20", [JsonArrIndex::Start(0)])?;
  assert_eq!(idx1, vec![Some(2)]);

  let idx2 = db.json_arrindex("arrdoc", "$.nums", "20", [JsonArrIndex::Start(3)])?;
  assert_eq!(idx2, vec![Some(-1)]); // 超出区间返回 -1

  let idx3 = db.json_arrindex("arrdoc", "$.nums", "999", [JsonArrIndex::Start(0)])?;
  assert_eq!(idx3, vec![Some(-1)]); // 不存在返回 -1

  Ok(())
}

#[test]
fn test_json_formatting_and_multi_paths() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  db.json_set_one(
    "complex",
    "$",
    r#"{"name": "Alice", "age": 28, "address": {"city": "Beijing", "zip": "100000"}}"#,
  )?;

  // 1. INDENT / NEWLINE / SPACE 格式化
  let pretty = db.json_get_formatted("complex", &["$"], Some("  "), Some("\n"), Some(" "))?;
  assert!(pretty.is_some());
  let formatted_str = pretty.unwrap();
  assert!(formatted_str.contains("  \"name\": \"Alice\""));
  assert!(formatted_str.contains("  \"address\": {"));

  // 2. 多路径查询返回映射对象
  let multi = db.json_get_formatted("complex", &["$.name", "$.address.city"], None, None, None)?;
  assert!(multi.is_some());
  let multi_str = multi.unwrap();
  assert!(multi_str.contains(r#""$.name":["Alice"]"#));
  assert!(multi_str.contains(r#""$.address.city":["Beijing"]"#));

  Ok(())
}

#[test]
fn test_json_mset_batch_atomic_dirty_keys() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  // 在单次 MSET 中连续修改同一个 key 的多个路径
  db.json_mset(&[
    ("k1", "$", r#"{"a": 1}"#),
    ("k2", "$", r#"{"x": 100}"#),
    ("k1", "$.b", r#"2"#),
    ("k1", "$.c", r#"3"#),
    ("k2", "$.y", r#"200"#),
  ])?;

  let k1_val = db.json_get("k1", &[], [])?;
  assert!(k1_val.is_some());
  let k1_str = k1_val.unwrap();
  assert!(k1_str.contains(r#""a":1"#));
  assert!(k1_str.contains(r#""b":2"#));
  assert!(k1_str.contains(r#""c":3"#));

  let k2_val = db.json_get("k2", &[], [])?;
  assert!(k2_val.is_some());
  let k2_str = k2_val.unwrap();
  assert!(k2_str.contains(r#""x":100"#));
  assert!(k2_str.contains(r#""y":200"#));

  Ok(())
}

#[test]
fn test_json_debug_and_resp() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  db.json_set_one(
    "doc",
    "$",
    r#"{"str": "hello", "num": 123, "flag": true, "arr": [1, 2]}"#,
  )?;

  // 1. JSON.DEBUG MEMORY
  let sizes = db.json_debug_memory("doc", Some("$"))?;
  assert_eq!(sizes.len(), 1);
  assert!(sizes[0] > 0);

  let sub_sizes = db.json_debug_memory("doc", Some("$.str"))?;
  assert_eq!(sub_sizes.len(), 1);
  assert_eq!(sub_sizes[0], r#""hello""#.len());

  Ok(())
}

#[test]
fn test_json_comprehensive_path_eval_and_filters() -> Void {
  // 1. JsonMeta 27 字节编码解码
  let segments = parse_json_path("$.store.book[0].title")?;
  assert_eq!(segments.len(), 5);

  let meta = JsonMeta::with_format(JsonStorageFormat::Json, 1000, 2, 50);
  assert_eq!(JsonMeta::ENCODED_SIZE, 27);
  let enc = meta.encode();
  assert_eq!(enc.len(), 27);
  let (dec, payload) = JsonMeta::decode(&enc).expect("decode failed");
  assert_eq!(dec.format, JsonStorageFormat::Json);
  assert_eq!(dec.base.expire_at, 1000);
  assert_eq!(dec.base.version, 2);
  assert!(payload.is_empty());

  // 2. RFC 7396 Merge Patch 规范测试用例
  let mut target: Value = sonic_rs::from_str(r#"{"a": "b", "c": {"d": "e", "f": "g"}}"#).unwrap();
  let patch: Value = sonic_rs::from_str(r#"{"a": "z", "c": {"f": null}}"#).unwrap();
  json_merge_patch(&mut target, &patch);

  let res_str = sonic_rs::to_string(&target).unwrap();
  assert!(res_str.contains(r#""a":"z""#));
  assert!(res_str.contains(r#""d":"e""#));
  assert!(!res_str.contains(r#""f""#));

  // 3. 复杂 JSONPath 解析与切片
  let book_doc: Value = sonic_rs::from_str(
    r#"{
        "store": {
            "book": [
                {"title": "Book 0", "price": 10.0, "category": "fiction"},
                {"title": "Book 1", "price": 25.0, "category": "tech"},
                {"title": "Book 2", "price": 50.0, "category": "tech"},
                {"title": "Book 3", "price": 80.0, "category": "science"}
            ]
        }
    }"#,
  )
  .unwrap();

  // 切片
  let slice_books = get_path_values(&book_doc, "$.store.book[1:3]")?;
  assert_eq!(slice_books.len(), 2);
  assert_eq!(slice_books[0]["title"].as_str(), Some("Book 1"));
  assert_eq!(slice_books[1]["title"].as_str(), Some("Book 2"));

  // 过滤器表达式
  let tech_books = get_path_values(&book_doc, r#"$.store.book[?(@.category == 'tech')]"#)?;
  assert_eq!(tech_books.len(), 2);

  let expensive_books = get_path_values(&book_doc, "$.store.book[?(@.price >= 50)]")?;
  assert_eq!(expensive_books.len(), 2);

  // 递归下降搜索
  let all_titles = get_path_values(&book_doc, "$..title")?;
  assert_eq!(all_titles.len(), 4);

  // 递归变异与删除
  let mut mut_doc = book_doc.clone();
  mutate_path_values(&mut mut_doc, "$.store.book[?(@.price < 30)].price", |p| {
    if let Some(f) = p.as_f64() {
      *p = sonic_rs::json!((f * 2.0) as i64);
    }
  })?;

  let updated_p0 = get_path_values(&mut_doc, "$.store.book[0].price")?;
  assert_eq!(updated_p0[0].as_i64(), Some(20));

  let del_cnt = delete_path_values(&mut mut_doc, "$.store.book[0]")?;
  assert_eq!(del_cnt, 1);
  let remaining_books = get_path_values(&mut_doc, "$.store.book[*]")?;
  assert_eq!(remaining_books.len(), 3);

  Ok(())
}

#[test]
fn test_json_kvrocks_cpp_compatibility() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  // 1. Set & Get 递归下降与通配符 (对标 Kvrocks RedisJsonTest.Set)
  db.json_set_one("k", "$", "[[1,2],[3,4],[5,6]]")?;
  db.json_set_one("k", "$[*][1]", r#""x""#)?;
  let val = db.json_get("k", &[], [])?;
  assert_eq!(val, Some(r#"[[1,"x"],[3,"x"],[5,"x"]]"#.to_string()));

  db.json_set_one("k", "$", r#"{"x":1,"y":{"a":"xxx","x":2},"z":3}"#)?;
  db.json_set_one("k", "$..x", "true")?;
  let val2 = db.json_get("k", &[], [])?;
  let parsed_v2: Value = sonic_rs::from_str(&val2.unwrap()).unwrap();
  let expected_v2: Value =
    sonic_rs::from_str(r#"{"x":true,"y":{"a":"xxx","x":true},"z":3}"#).unwrap();
  assert_eq!(parsed_v2, expected_v2);

  db.json_set_one("k", "$", "[[1,2],[[5,6],4]]")?;
  db.json_set_one("k", "$..[0]", "{}")?;
  let val3 = db.json_get("k", &[], [])?;
  assert_eq!(val3, Some(r#"[{},[{},4]]"#.to_string()));

  // 2. 递归 Get (对标 Kvrocks RedisJsonTest.Get)
  let doc: Value = sonic_rs::from_str(r#"[[[1,2],[3]],[4,5]]"#).unwrap();
  let res = get_path_values(&doc, "$..[0]")?;
  let res_str = sonic_rs::to_string(&res).unwrap();
  assert_eq!(res_str, r#"[[[1,2],[3]],[1,2],1,3,4]"#);

  // 3. ArrPop (对标 Kvrocks RedisJsonTest.ArrPop)
  db.json_set_one("pop_doc", "$", r#"[3,"str",2.1,{},[5,6]]"#)?;
  let p1 = db.json_arrpop("pop_doc", Some("$"), Some(-1))?;
  assert_eq!(p1, vec![Some("[5,6]".to_string())]);

  let p2 = db.json_arrpop("pop_doc", Some("$"), Some(-2))?;
  assert_eq!(p2, vec![Some("2.1".to_string())]);

  let p3 = db.json_arrpop("pop_doc", Some("$"), Some(3))?;
  assert_eq!(p3, vec![Some("{}".to_string())]);

  let p4 = db.json_arrpop("pop_doc", Some("$"), Some(1))?;
  assert_eq!(p4, vec![Some(r#""str""#.to_string())]);

  let p5 = db.json_arrpop("pop_doc", Some("$"), Some(0))?;
  assert_eq!(p5, vec![Some("3".to_string())]);

  let p6 = db.json_arrpop("pop_doc", Some("$"), Some(-1))?;
  assert_eq!(p6, vec![None]);

  // 4. Toggle (对标 Kvrocks RedisJsonTest.Toggle)
  db.json_set_one(
    "toggle_doc",
    "$",
    r#"{"bool":false,"bools":{"bool":true},"incorrectbool":{"bool":88}}"#,
  )?;
  let tog = db.json_toggle("toggle_doc", Some("$..bool"))?;
  assert_eq!(tog.len(), 3);
  assert!(tog.contains(&Some(true)));
  assert!(tog.contains(&Some(false)));
  assert!(tog.contains(&None));

  // 5. Clear (对标 Kvrocks RedisJsonTest.Clear)
  db.json_set_one(
    "clear_doc",
    "$",
    r#"{"obj":{"a":1, "b":2}, "arr":[1,2,3], "str": "foo", "bool": true, "int": 42, "float": 3.14}"#,
  )?;
  let clr = db.json_clear("clear_doc", Some("$.*"))?;
  assert_eq!(clr, 4);
  let clr_res = db.json_get("clear_doc", &[], [])?;
  let parsed_clr: Value = sonic_rs::from_str(&clr_res.unwrap()).unwrap();
  let expected_clr: Value =
    sonic_rs::from_str(r#"{"arr":[],"bool":true,"float":0,"int":0,"obj":{},"str":"foo"}"#).unwrap();
  assert_eq!(parsed_clr, expected_clr);

  // 6. NumIncrBy / NumMultBy 边界与无穷大溢出校验
  db.json_set_one("num_doc", "$", r#"{"foo": 0, "bar": "baz"}"#)?;
  let r1 = db.json_numincrby("num_doc", "$.foo", "1")?;
  assert_eq!(r1, Some("[1]".to_string()));

  let r2 = db.json_numincrby("num_doc", "$.bar", "1")?;
  assert_eq!(r2, Some("[null]".to_string()));

  let r3 = db.json_numincrby("num_doc", "$.fuzz", "1")?;
  assert_eq!(r3, Some("[]".to_string()));

  // 溢出检查
  db.json_set_one("big_num", "$", "1.6350000000001313e+308")?;
  let inf_err = db.json_nummultby("big_num", "$", "2");
  assert!(inf_err.is_err());

  Ok(())
}

#[test]
fn test_json_edge_cases_and_deep_recursion() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  // 1. 递归下降删除带尾部路径 ($..store.book)
  let mut data: Value = sonic_rs::from_str(
    r#"{"root": {"store": {"book": {"title": "Rust"}}, "other": {"store": {"book": {"title": "Go"}}}}}"#,
  )?;
  let del_cnt = delete_path_values(&mut data, "$..store.book")?;
  assert_eq!(del_cnt, 2);
  let check = get_path_values(&data, "$..book")?;
  assert!(check.is_empty());

  // 2. 括号路径规范创建与深层设值
  db.json_set_one("bracket_doc", "$", r#"{"a": {}}"#)?;
  db.json_set_one("bracket_doc", "$['a']['b']", r#"42"#)?;
  let b_val = db.json_get_one("bracket_doc", "$.a.b")?;
  assert_eq!(b_val, Some("[42]".to_string()));

  // 3. 过滤器跨整型/浮点数相等性比较
  let num_data: Value = sonic_rs::from_str(r#"[{"x": 10}, {"x": 20.0}, {"x": 30}]"#)?;
  let matched_float = get_path_values(&num_data, "$[?(@.x == 20.0)]")?;
  assert_eq!(matched_float.len(), 1);
  assert_eq!(matched_float[0]["x"].as_f64(), Some(20.0));

  let matched_int = get_path_values(&num_data, "$[?(@.x == 10.0)]")?;
  assert_eq!(matched_int.len(), 1);
  assert_eq!(matched_int[0]["x"].as_i64(), Some(10));

  // 4. 无 $ 前缀的通配符与递归分段解析
  let wildcard_segs = parse_json_path("*")?;
  assert_eq!(wildcard_segs, vec![PathSegment::Wildcard]);

  let wild_obj = sonic_rs::json!({"a": 1, "b": 2});
  let res_wild = get_path_values(&wild_obj, "*")?;
  assert_eq!(res_wild.len(), 2);

  // 5. 零内存分配元数据头验证
  let meta = JsonMeta::with_format(JsonStorageFormat::Json, 5000, 100, 64);
  let enc = meta.encode();
  assert_eq!(enc.len(), 27);
  let (dec, _) = JsonMeta::decode(&enc).unwrap();
  assert_eq!(dec.base.expire_at, 5000);
  assert_eq!(dec.base.size, 64);

  // 6. 混合 Index 与 Field 的非存在路径定位创建
  db.json_set_one("mixed_nest", "$", r#"{"arr": [{}]}"#)?;
  db.json_set_one("mixed_nest", "$.arr[0].key", r#""val""#)?;
  let mixed_val = db.json_get_one("mixed_nest", "$.arr[0].key")?;
  assert_eq!(mixed_val, Some(r#"["val"]"#.to_string()));

  db.json_set_one("mixed_nest", "$.arr[1]", r#"{"next": 99}"#)?;
  let arr1_val = db.json_get_one("mixed_nest", "$.arr[1].next")?;
  assert_eq!(arr1_val, Some("[99]".to_string()));

  // 8. STRAPPEND 类型严格检查(非字符串 JSON 输入报错)
  let append_err = db.json_strappend("mixed_nest", Some("$.arr[0].key"), "123");
  assert!(append_err.is_err());

  Ok(())
}

#[test]
fn test_json_slice_negative_step_and_formatting() -> Void {
  let dir = tempdir()?;
  let db = WeDb::new(Fjall::open(dir.path())?).ns(0)?.db(0)?;

  // 1. 数组切片负步长求值与变异
  let mut data: Value = sonic_rs::from_str(r#"{"arr": [0, 1, 2, 3, 4, 5]}"#)?;
  let slice_rev = get_path_values(&data, "$.arr[::-1]")?;
  assert_eq!(slice_rev.len(), 6);
  assert_eq!(slice_rev[0].as_i64(), Some(5));
  assert_eq!(slice_rev[5].as_i64(), Some(0));

  mutate_path_values(&mut data, "$.arr[4:1:-2]", |v| {
    if let Some(i) = v.as_i64() {
      *v = sonic_rs::json!(i * 10);
    }
  })?;
  assert_eq!(data["arr"][4].as_i64(), Some(40));
  assert_eq!(data["arr"][2].as_i64(), Some(20));
  assert_eq!(data["arr"][0].as_i64(), Some(0));

  // 2. 数组切片负步长删除
  let del_cnt = delete_path_values(&mut data, "$.arr[5:1:-2]")?;
  assert_eq!(del_cnt, 2); // 删除了索引 5 和 3

  // 3. 严格 SPACE 格式化测试(仅冒号后加空格,逗号后不加空格)
  db.json_set_one("fmt_doc", "$", r#"{"x":1,"y":2}"#)?;
  let space_fmt = db.json_get_formatted("fmt_doc", &[], None, None, Some(" "))?;
  assert_eq!(space_fmt, Some(r#"{"x": 1,"y": 2}"#.to_string()));

  Ok(())
}